diff --git a/.conda/conda_build_config.yaml b/.conda/conda_build_config.yaml
new file mode 100644
index 00000000000..cf21a45b5be
--- /dev/null
+++ b/.conda/conda_build_config.yaml
@@ -0,0 +1,14 @@
+# Restrict conda-build's variant matrix so the solver does not enumerate
+# python/numpy combinations from internal_defaults. The CI workflow's
+# CONDA_PY env var narrows to one of these python versions per matrix cell.
+#
+# Without this file, conda-build considers every (python, numpy) pair from
+# its internal defaults during the "Getting pinned dependencies" phase,
+# which substantially enlarges the search space the libmamba solver has
+# to traverse.
+python:
+ - 3.9
+ - 3.10
+ - 3.11
+numpy:
+ - 1.26
diff --git a/.conda/meta.yaml b/.conda/meta.yaml
index 20466c88d3b..70826ca9238 100644
--- a/.conda/meta.yaml
+++ b/.conda/meta.yaml
@@ -4,9 +4,12 @@
# RMG-Py into binaries which can then be uploaded for access via the conda package manager
# to use this file, you can follow the procedure shown in .github/workflows/conda_build.yml
#
+# Variant axes (python, numpy) are pinned in .conda/conda_build_config.yaml so that
+# conda-build does not enumerate every combination from its internal defaults.
+#
package:
name: rmg
- version: 3.3.0
+ version: 4.0.0
source:
path: ../
@@ -14,163 +17,63 @@ source:
build:
number: 0
script: |
- python utilities.py check-pydas # write the rmgpy/solver/settings.pxi file
- python setup.py install --single-version-externally-managed --record=record.txt
+ {{ PYTHON }} utilities.py check-pydas # write the rmgpy/solver/settings.pxi file
+ {{ PYTHON }} setup.py install --single-version-externally-managed --record=record.txt
requirements:
build:
- {{ compiler('c') }}
- host:
- - conda-forge::cairo
- - conda-forge::cairocffi
- - conda-forge::ffmpeg >=7
- - conda-forge::xlrd
- - conda-forge::xlwt
- - conda-forge::h5py
- - conda-forge::graphviz >=12
- - conda-forge::markupsafe
- - conda-forge::psutil
- - conda-forge::ncurses
- - conda-forge::suitesparse
- - conda-forge::graphviz
- - conda-forge::pyopenssl >20
- - conda-forge::coolprop
- - conda-forge::cantera =2.6
- - conda-forge::mopac
- - conda-forge::cclib >=1.6.3,<1.9
- - conda-forge::openbabel >=3
- - conda-forge::rdkit >=2022.09.1
- - conda-forge::python >=3.9
- - conda-forge::setuptools <80
- - conda-forge::coverage
- - conda-forge::cython >=0.25.2,<3.1
- - conda-forge::scikit-learn
- - conda-forge::scipy >=1.9
- - conda-forge::numpy >=1.10.0,<2
- - conda-forge::pydot
- - conda-forge::jinja2
- - conda-forge::jupyter
- - conda-forge::pymongo
- - conda-forge::pyparsing
- - conda-forge::pyyaml
- - conda-forge::networkx
- - conda-forge::pytest
- - conda-forge::pytest-cov
- - conda-forge::pytest-check
- - conda-forge::pyutilib
- - conda-forge::matplotlib >=1.5
- - conda-forge::mpmath
- - conda-forge::pandas
- - conda-forge::gprof2dot
- - conda-forge::numdifftools
- - conda-forge::quantities !=0.16.0,!=0.16.1
- - conda-forge::ringdecomposerlib-python
- - rmg::pydas >=1.0.3
- - rmg::pydqed >=1.0.3
- - rmg::symmetry
- - rmg::rmgdatabase =3.3.0
- - blas=*=openblas
- run:
+ host: &runtime_requirements
- conda-forge::cairo
- conda-forge::cairocffi
- conda-forge::ffmpeg >=7
- conda-forge::xlrd
- conda-forge::xlwt
- - conda-forge::h5py
+ - conda-forge::h5py >=3.10
- conda-forge::graphviz >=12
- conda-forge::markupsafe
- conda-forge::psutil
- conda-forge::ncurses
- conda-forge::suitesparse
- - conda-forge::graphviz
- - conda-forge::pyopenssl >20
+ - conda-forge::pyopenssl >24
- conda-forge::coolprop
- - conda-forge::cantera =2.6
+ - conda-forge::cantera >=3.0
- conda-forge::mopac
- conda-forge::cclib >=1.6.3,<1.9
- conda-forge::openbabel >=3
- - conda-forge::rdkit >=2022.09.1
- - conda-forge::python >=3.9
- - conda-forge::setuptools <80
- - conda-forge::coverage
- - conda-forge::cython >=0.25.2,<3.1
- - conda-forge::scikit-learn
- - conda-forge::scipy >=1.9
- - conda-forge::numpy >=1.10.0,<2
+ - conda-forge::rdkit >=2024
+ # python intentionally left loose so the CI matrix (via CONDA_PY)
+ # can pin it without a contradictory-deps error. The real variant pin
+ # lives in .conda/conda_build_config.yaml.
+ - conda-forge::python >=3.9,<3.12
+ - conda-forge::setuptools >=70,<80
+ - conda-forge::cython >=3.0,<3.1
+ - conda-forge::scikit-learn >=1.3
+ - conda-forge::scipy >=1.13
+ - conda-forge::numpy >=1.24,<2
- conda-forge::pydot
- conda-forge::jinja2
- - conda-forge::jupyter
- conda-forge::pymongo
- conda-forge::pyparsing
- conda-forge::pyyaml
- conda-forge::networkx
- - conda-forge::pytest
- - conda-forge::pytest-cov
- - conda-forge::pytest-check
- conda-forge::pyutilib
- - conda-forge::matplotlib >=1.5
+ - conda-forge::matplotlib >=3.5
- conda-forge::mpmath
- - conda-forge::pandas
+ - conda-forge::pandas >=2
- conda-forge::gprof2dot
- conda-forge::numdifftools
- conda-forge::quantities !=0.16.0,!=0.16.1
- - conda-forge::ringdecomposerlib-python
+ - rmg::pysidt-rmg >=1.2
- rmg::pydas >=1.0.3
- rmg::pydqed >=1.0.3
- rmg::symmetry
- - rmg::rmgdatabase =3.3.0
+ - rmg::rmgdatabase =4.0.0
- blas=*=openblas
+ run: *runtime_requirements
test:
- requires:
- - conda-forge::cairo
- - conda-forge::cairocffi
- - conda-forge::ffmpeg >=7
- - conda-forge::xlrd
- - conda-forge::xlwt
- - conda-forge::h5py
- - conda-forge::graphviz >=12
- - conda-forge::markupsafe
- - conda-forge::psutil
- - conda-forge::ncurses
- - conda-forge::suitesparse
- - conda-forge::graphviz
- - conda-forge::pyopenssl >20
- - conda-forge::coolprop
- - conda-forge::cantera =2.6
- - conda-forge::mopac
- - conda-forge::cclib >=1.6.3,<1.9
- - conda-forge::openbabel >=3
- - conda-forge::rdkit >=2022.09.1
- - conda-forge::python >=3.9
- - conda-forge::setuptools <80
- - conda-forge::coverage
- - conda-forge::cython >=0.25.2,<3.1
- - conda-forge::scikit-learn
- - conda-forge::scipy >=1.9
- - conda-forge::numpy >=1.10.0,<2
- - conda-forge::pydot
- - conda-forge::jinja2
- - conda-forge::jupyter
- - conda-forge::pymongo
- - conda-forge::pyparsing
- - conda-forge::pyyaml
- - conda-forge::networkx
- - conda-forge::pytest
- - conda-forge::pytest-cov
- - conda-forge::pytest-check
- - conda-forge::pyutilib
- - conda-forge::matplotlib >=1.5
- - conda-forge::mpmath
- - conda-forge::pandas
- - conda-forge::gprof2dot
- - conda-forge::numdifftools
- - conda-forge::quantities !=0.16.0,!=0.16.1
- - conda-forge::ringdecomposerlib-python
- - rmg::pydas >=1.0.3
- - rmg::pydqed >=1.0.3
- - rmg::symmetry
- - rmg::rmgdatabase =3.3.0
- - blas=*=openblas
+ # Keep this minimal: test commands below run import checks plus two example
+ # command-line runs, and do not invoke the pytest suite.
source_files:
- 'examples/rmg/superminimal'
- 'examples/arkane/networks/n-butanol_msc'
diff --git a/.github/copilot-instructions.md b/.github/copilot-instructions.md
new file mode 100644
index 00000000000..2ca3150a54c
--- /dev/null
+++ b/.github/copilot-instructions.md
@@ -0,0 +1,180 @@
+# RMG-Py Copilot Instructions
+
+## Project Overview
+RMG-Py is the Reaction Mechanism Generator - an automatic chemical kinetics mechanism generator. It consists of two main components:
+- **RMG** (`rmgpy/`): Core mechanism generation engine
+- **Arkane** (`arkane/`): Statistical mechanics and transition state theory calculations
+
+## Architecture
+
+### Core Packages
+- `rmgpy/molecule/` - Molecular graph representation (`Molecule`, `Atom`, `Bond`, `Group`)
+- `rmgpy/thermo/` - Thermodynamic models (NASA, Wilhoit, ThermoData)
+- `rmgpy/kinetics/` - Rate coefficient models (Arrhenius, Chebyshev, pressure-dependent)
+- `rmgpy/solver/` - ODE solvers for reactor simulations
+- `rmgpy/rmg/` - Main RMG algorithm (`main.py`, `model.py`, `react.py`)
+- `rmgpy/data/` - Database interfaces for thermo, kinetics, transport
+
+### Key Base Classes
+- `RMGObject` (in `rmgpy/rmgobject.pyx`) - Base class providing `as_dict()`/`make_object()` for YAML serialization
+- `Graph`/`Vertex`/`Edge` (in `rmgpy/molecule/graph.pyx`) - Graph isomorphism via VF2 algorithm
+- `Species` and `Reaction` are central objects connecting molecules to thermodynamics and kinetics
+
+### Cython Architecture
+Performance-critical code uses Cython (`.pyx` files) with declaration files (`.pxd`):
+- Some `.py` files are also cythonized — they have a `.pxd` sibling and are listed in `setup.py` `ext_modules` (e.g. `rmgpy/species.py`, `rmgpy/reaction.py`, `rmgpy/quantity.py`, `rmgpy/constants.py`, and most of `rmgpy/molecule/`). The compiled `.so` is what gets imported, so edits won't take effect until rebuilt.
+- Always pair `.pyx` (or cythonized `.py`) with `.pxd` for public cdef classes/methods
+- Use `cpdef` for methods callable from both Python and Cython
+- Use `cimport` for Cython-level imports (e.g., `cimport rmgpy.constants as constants`)
+- Register new Cython modules in `setup.py` `ext_modules` list
+- Remember to re-compile (`make build`) after modifying any `.pyx`, `.pxd`, or cythonized `.py` file, or if there seem to be weird bugs in them.
+
+## Development Commands
+```bash
+make install # First-time pip editable install + Cython build. Writes a .installed sentinel; subsequent `make install` is a no-op until `make clean`.
+make build # Incremental in-place Cython rebuild (`setup.py build_ext --inplace`). Fast — use this after editing .pyx/.pxd/cythonized .py.
+make # Default target: dep check, install if needed (via sentinel), then `make build`. Safe go-to.
+make test # Run unit tests (excludes functional/database tests)
+make test-functional # Run functional tests
+make test-database # Run database tests
+make test-all # Run all tests
+make clean # Remove .so/.pyc/.c build artifacts, the build/ dir, the .installed sentinel, and pip-uninstall the package.
+make decython # Remove most .so files for "pure Python" debugging (keeps _statmech.so, quantity.so, and rmgpy/solver/*.so). Pure python mode is not reliably tested and might not work.
+make documentation # Build Sphinx docs
+```
+
+## Testing Conventions
+- Tests live in `test/` mirroring `rmgpy/` and `arkane/` structure
+- Test files: `*Test.py` (e.g., `speciesTest.py`, `reactionTest.py`)
+- Test classes: `class TestClassName:` or `class ClassNameTest:`
+- Use `pytest` with fixtures (`@pytest.fixture(autouse=True)` for setup)
+- Markers: `@pytest.mark.functional`, `@pytest.mark.database`
+- Run specific tests: `pytest -k "test_name_pattern"`
+
+## Code Patterns
+
+### Molecular Representations
+```python
+from rmgpy.molecule import Molecule
+mol = Molecule().from_smiles("CC") # From SMILES
+mol = Molecule().from_adjacency_list("""...""") # From adjacency list
+mol.is_isomorphic(other_mol) # Graph isomorphism check
+```
+
+### Species and Reactions
+```python
+from rmgpy.species import Species
+species = Species(label='ethane', molecule=[Molecule().from_smiles("CC")])
+species.generate_resonance_structures()
+```
+
+```python
+from rmgpy.reaction import Reaction
+from rmgpy.kinetics import Arrhenius
+
+# Reaction with Arrhenius kinetics
+rxn = Reaction(
+ reactants=[Species(label='CH3', molecule=[Molecule(smiles='[CH3]')]),
+ Species(label='O2', molecule=[Molecule(smiles='[O][O]')])],
+ products=[Species(label='CH3OO', molecule=[Molecule(smiles='CO[O]')])],
+ kinetics=Arrhenius(A=(2.65e12, 'cm^3/(mol*s)'), n=0.0, Ea=(0.0, 'kJ/mol'), T0=(1, 'K')),
+)
+
+# Reaction without kinetics (e.g. for isomorphism checks)
+rxn2 = Reaction(
+ reactants=[Species().from_smiles('[O]'), Species().from_smiles('O=S=O')],
+ products=[Species().from_smiles('O=S(=O)=O')],
+)
+```
+
+
+## Input Files
+- RMG inputs: Python scripts defining `database()`, `species()`, `simpleReactor()`, etc.
+- See `examples/rmg/minimal/input.py` for structure and `examples/rmg/commented/input.py` for a file with detailed comments
+- Arkane inputs: Python scripts with `species()`, `transitionState()`, `reaction()` blocks
+- See `examples/arkane/` for examples
+
+## RMG-database Integration
+The **RMG-database** is a separate repository containing all thermodynamic, kinetics, and transport data. It's typically cloned alongside RMG-Py in a sibling folder named `RMG-database`.
+
+### Database Structure (in RMG-database `input/` directory, eg. `RMG-database/input/thermo/`)
+- `thermo/` - Thermodynamic libraries and group additivity data
+- `kinetics/families/` - Reaction family templates with rate rules (e.g., `H_Abstraction`, `R_Addition_MultipleBond`)
+- `kinetics/libraries/` - Curated rate coefficient libraries
+- `solvation/` - Solvent and solute parameters
+- `transport/` - Transport properties
+
+### How RMG-Py Loads the Database
+The `RMGDatabase` class (`rmgpy/data/rmg.py`) is the central interface:
+```python
+from rmgpy.data.rmg import RMGDatabase
+database = RMGDatabase()
+database.load(
+ path='/path/to/RMG-database/input',
+ thermo_libraries=['primaryThermoLibrary'],
+ kinetics_families='default',
+ reaction_libraries=[],
+)
+```
+
+### Key Database Classes
+- `ThermoDatabase` (`rmgpy/data/thermo.py`) - Estimates thermo via group additivity or libraries
+- `KineticsDatabase` (`rmgpy/data/kinetics/database.py`) - Manages reaction families and libraries
+- `KineticsFamily` (`rmgpy/data/kinetics/family.py`) - Template-based reaction generation using `Group` pattern matching
+- `Entry` (`rmgpy/data/base.py`) - Base class for database entries with metadata
+
+### Data Flow for Species Thermodynamics
+1. `Species.get_thermo_data()` → `rmgpy.thermo.thermoengine.submit(species)`
+2. `thermoengine.submit()` generates resonance structures, then dispatches to `ThermoDatabase.get_thermo_data(species)`
+3. `ThermoDatabase` first checks thermo libraries for an exact match (via graph isomorphism)
+4. If no library match is found, `ThermoDatabase` falls back to group additivity estimation using functional group contributions
+5. The resolved result is returned as a `ThermoData`, `NASA`, or `Wilhoit` object
+
+
+### Data Flow for Reaction Kinetics
+1. `KineticsFamily.generate_reactions(reactants)` - Matches reactant molecules to family templates
+2. Creates `TemplateReaction` objects with labeled atoms from template matching
+3. `KineticsFamily.get_kinetics()` - Estimates rate using rate rules or training reactions
+4. Returns `Arrhenius` or pressure-dependent kinetics model
+
+## External Dependencies
+- **RMG-database**: In CI, `RMG_DATABASE_BRANCH` controls which RMG-database branch is cloned. Locally, the database location is set via `settings['database.directory']` (default `../RMG-database/input`) or `database.directory` in an `rmgrc` file; you may also pass an explicit path to `database.load()`.
+- **Julia/RMS**: Optional (recommended) reactor simulation backend (install via `./install_rms.sh`)
+- Environment managed via `environment.yml` (conda/mamba)
+
+## Documentation
+Documentation lives in `documentation/source/` and is built with Sphinx (`make documentation`).
+
+### User Documentation (`documentation/source/users/`)
+- `users/rmg/` - RMG user guide (how to run, configure, interpret output)
+- `users/arkane/` - Arkane user guide
+- **Critical file**: `users/rmg/input.rst` - Documents all input file options. **Must be updated when changing input file syntax or adding new features.**
+
+### API Reference (`documentation/source/reference/`)
+- Auto-generated from docstrings using `sphinx.ext.autodoc`
+- Each module has a corresponding `.rst` file (e.g., `documentation/source/reference/species/index.rst` → `rmgpy/species.py`)
+- **Maintenance**: Add new modules to the appropriate `index.rst` toctree. Docstrings in code are automatically extracted.
+- Uses reStructuredText format with `.. automodule::` directives
+
+### When to Update Documentation
+- **New input file options**: Update `documentation/source/users/rmg/input.rst`
+- **New public API**: Ensure docstrings exist; add module to `documentation/source/reference/` if new
+- **Changed behavior**: Update relevant user guide section
+- **New features**: Add to `documentation/source/users/rmg/features.rst` or create and link to new `.rst` file
+
+## Pull Request Review Guidance
+### Review Priorities
+- Verify changed behavior is covered by tests, or request targeted tests for uncovered paths.
+- Check that user-facing changes include required documentation updates (especially input syntax in `documentation/source/users/rmg/input.rst`).
+- Confirm Cython changes are complete (`.pyx`/`.pxd` parity, required setup wiring, and likely rebuild impact).
+- Watch for performance regressions in hot paths (`rmgpy/molecule/`, `rmgpy/solver/`, kinetics generation loops).
+
+### Other checks
+- If `environment.yml` or `.conda/meta.yaml` change, verify they are consistent.
+- For changes that affect data loading or estimators, verify assumptions against RMG-database integration points in `rmgpy/data/rmg.py` and related loaders.
+
+## Style Guidelines
+- Follow PEP 8 for new or modified code, but don't modify code just to fix style
+- Docstrings describe purpose, not implementation
+- Use `logging` module (not print statements)
+- MIT license header required on all source files
diff --git a/.github/workflows/CI.yml b/.github/workflows/CI.yml
index e815da269d9..fee682f772f 100644
--- a/.github/workflows/CI.yml
+++ b/.github/workflows/CI.yml
@@ -2,7 +2,7 @@
# This file contains the script used by GitHub actions to execute the Continuous Integration (CI)
# for RMG-Py. This includes building RMG and its dependencies, executing the unit tests,
# functional tests, database tests, and regression tests.
-#
+#
# This will run automatically on any push to any branch, but will only run one instance of
# itself at a time per branch (to avoid spawning tons of runners, which prevents them from
# executing).
@@ -12,20 +12,6 @@
# them. These 'answers' are re-generated daily, or on any push to main, and retrieved whenever
# a push is made to a non-main branch. The new proposed changes are referred to as "Dynamic".
#
-#
-# Changelog:
-# 2023-04 - Jackson Burns - Added this header, regression tests, cleanup of action in
-# in general, and documentation throughout the file.
-# 2023-05 - added Docker build steps
-# 2023-05-12 - added changes to allow running on forks
-# 2023-06-06 - added matrix build for libstdcxx-ng versions 12 and 13 on ubuntu. Only expect 12 to work.
-# 2023-06-07 - updated regression testing. Now fails if significant changes are detected.
-# 2023-06-15 - revert changes from 06-06, both now work
-# 2023-06-27 - add option to run from RMG-database with GitHub resuable workflows
-# 2023-07-17 - made it pass by default
-# 2023-07-21 - upload the regression results summary as artifact (for use as a comment on PRs)
-# 2023-07-31 - removed option to run from RMG-database with GitHub resuable workflows
-# 2024-10-01 - deprecated Mambaforge with Miniforge3 for environment creation
name: Continuous Integration
@@ -54,6 +40,8 @@ env:
RMG_DATABASE_BRANCH: main
# RMS branch to use for ReactionMechanismSimulator installation
RMS_BRANCH: for_rmg
+ # RMS mode used for install_rms.sh
+ RMS_INSTALLER: continuous
# julia parallel pre-compilation leads to race conditions and hangs, so we limit it to run in serial
JULIA_NUM_PRECOMPILE_TASKS: 1
@@ -63,12 +51,24 @@ jobs:
strategy:
fail-fast: false
matrix:
- python-version: ["3.9"]
- os: [macos-13, macos-latest, ubuntu-latest]
+ python-version: ["3.9", "3.10", "3.11"]
+ os: [macos-15-intel, macos-latest, ubuntu-latest]
include-rms: ["", "with RMS"]
exclude:
- - os: macos-13 # GitHub's runners just aren't up to the task of installing Julia
- include-rms: 'with RMS'
+ # on macos, only check with RMS (assume it also works without RMS)
+ - os: macos-15-intel
+ include-rms: ""
+ - os: macos-latest
+ include-rms: ""
+ # on macos, only test with latest Python version
+ - os: macos-15-intel
+ python-version: "3.9"
+ - os: macos-latest
+ python-version: "3.9"
+ - os: macos-15-intel
+ python-version: "3.10"
+ - os: macos-latest
+ python-version: "3.10"
runs-on: ${{ matrix.os }}
name: Python ${{ matrix.python-version }} ${{ matrix.os }} Build and Test ${{ matrix.include-rms }}
# skip scheduled runs from forks
@@ -78,10 +78,18 @@ jobs:
shell: bash -l {0}
steps:
- name: Checkout RMG-Py
- uses: actions/checkout@v4
+ uses: actions/checkout@v6
+
+ - name: Pin Python version for CI matrix
+ # environment.yml pins python=3.11 for fast user installs; rewrite to the
+ # matrix version here so setup-miniconda can inject the correct pin cleanly.
+ # The -i.bak / rm pattern works on both GNU sed (Linux) and BSD sed (macOS).
+ run: |
+ sed -i.bak "s/conda-forge::python =3\.11/conda-forge::python =${{ matrix.python-version }}/" environment.yml
+ rm -f environment.yml.bak
- name: Setup Miniforge Python ${{ matrix.python-version }}
- uses: conda-incubator/setup-miniconda@v3
+ uses: conda-incubator/setup-miniconda@v4
with:
environment-file: environment.yml
miniforge-variant: Miniforge3
@@ -109,7 +117,7 @@ jobs:
- name: Setup Juliaup
if: matrix.include-rms == 'with RMS'
- uses: julia-actions/install-juliaup@v2
+ uses: julia-actions/install-juliaup@v3
with:
channel: '1.10'
@@ -124,14 +132,20 @@ jobs:
# non-regression testing
- name: Run Unit, Functional, and Database Tests
+ if: matrix.os == 'ubuntu-latest'
run: make test-all
+ # for the less capable non-linux runners, we only run units tests
+ - name: Run Unit Tests
+ if: matrix.os != 'ubuntu-latest'
+ run: make test-unittests
+
regression-test:
runs-on: ubuntu-latest
name: Regression Test
# skip scheduled runs from forks
if: ${{ !( github.repository != 'ReactionMechanismGenerator/RMG-Py' && github.event_name == 'schedule' ) }}
- env:
+ env:
# This is true only if this is a reference case for the regression testing:
REFERENCE_JOB: ${{ github.ref == 'refs/heads/main' && github.repository == 'ReactionMechanismGenerator/RMG-Py' }}
defaults:
@@ -139,15 +153,15 @@ jobs:
shell: bash -l {0}
steps:
- name: Checkout RMG-Py
- uses: actions/checkout@v4
+ uses: actions/checkout@v6
- - name: Setup Miniforge Python 3.9
- uses: conda-incubator/setup-miniconda@v3
+ - name: Setup Miniforge Python 3.11
+ uses: conda-incubator/setup-miniconda@v4
with:
environment-file: environment.yml
miniforge-variant: Miniforge3
miniforge-version: latest
- python-version: 3.9
+ python-version: 3.11
activate-environment: rmg_env
auto-update-conda: true
show-channel-urls: true
@@ -167,13 +181,13 @@ jobs:
# RMG build step
- run: make install
-
+
- name: Make separate No-RMS conda env
run: |
- conda create --name rmg_env_without_rms --clone rmg_env
+ conda create --name rmg_env_without_rms -f environment.yml
- name: Setup Juliaup
- uses: julia-actions/install-juliaup@v2
+ uses: julia-actions/install-juliaup@v3
with:
channel: '1.10'
@@ -208,7 +222,7 @@ jobs:
# Upload Regression Results as Failed if above step failed
- name: Upload Failed Results
if: ${{ failure() && steps.regression-execution.conclusion == 'failure' }}
- uses: actions/upload-artifact@v4
+ uses: actions/upload-artifact@v7
with:
name: failed_regression_results
path: |
@@ -218,7 +232,7 @@ jobs:
- name: Upload Results as Reference
# upload the results for scheduled CI (on main) and pushes to main
if: ${{ env.REFERENCE_JOB == 'true' }}
- uses: actions/upload-artifact@v4
+ uses: actions/upload-artifact@v7
with:
name: stable_regression_results
path: |
@@ -227,7 +241,7 @@ jobs:
# Upload Regression Results as Dynamic if Push to non-main Branch
- name: Upload Results as Dynamic
if: ${{ env.REFERENCE_JOB == 'false' }}
- uses: actions/upload-artifact@v4
+ uses: actions/upload-artifact@v7
with:
name: dynamic_regression_results
path: |
@@ -239,20 +253,21 @@ jobs:
# Retrieve Stable Results for reference
- name: Find ID of Reference Results
+ if: ${{ env.REFERENCE_JOB == 'false' }}
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
# this will search for the last successful execution of CI on main
run: |
- run_id=$(gh run list -R ReactionMechanismGenerator/RMG-Py --workflow="Continuous Integration" --branch main --limit 15 --json databaseId,conclusion --jq 'map(select(.conclusion == "success")) | .[0].databaseId')
+ run_id=$(gh run list -R ReactionMechanismGenerator/RMG-Py --workflow="Continuous Integration" --branch main --limit 60 --json databaseId,conclusion --jq 'map(select(.conclusion == "success")) | .[0].databaseId')
if [ -z "$run_id" ] || [ "$run_id" = "null" ]; then
- echo "::error::No successful reference run found"
+ echo "::error::No successful reference run found in last 60 runs."
exit 1
fi
echo "CI_RUN_ID=$run_id" >> $GITHUB_ENV
- name: Retrieve Stable Regression Results
if: ${{ env.REFERENCE_JOB == 'false' }}
- uses: actions/download-artifact@v4
+ uses: actions/download-artifact@v8
with:
# download stable regression results
run-id: ${{ env.CI_RUN_ID }}
@@ -269,7 +284,10 @@ jobs:
REFERENCE: stable_regression_results
run: |
conda activate rmg_env_without_rms
-
+ echo "CONDA_PREFIX: $CONDA_PREFIX" # see if the conda environment was activated
+ conda run -n rmg_env_without_rms conda install -y pip
+ conda run -n rmg_env_without_rms make install
+
exec 2> >(tee -a regression.stderr >&2) 1> >(tee -a regression.stdout)
mkdir -p "test/regression-diff"
for regr_test in aromatics liquid_oxidation nitrogen oxidation sulfur superminimal RMS_constantVIdealGasReactor_superminimal RMS_CSTR_liquid_oxidation fragment RMS_constantVIdealGasReactor_fragment minimal_surface;
@@ -288,7 +306,7 @@ jobs:
echo ""
# Compare the edge and core
- if python scripts/checkModels.py \
+ if conda run -n rmg_env_without_rms python scripts/checkModels.py \
"$regr_test-core" \
$REFERENCE/"$regr_test"/chemkin/chem_annotated.inp \
$REFERENCE/"$regr_test"/chemkin/species_dictionary.txt \
@@ -311,7 +329,7 @@ jobs:
echo " "
fi
echo ""
- if python scripts/checkModels.py \
+ if conda run -n rmg_env_without_rms python scripts/checkModels.py \
"$regr_test-edge" \
$REFERENCE/"$regr_test"/chemkin/chem_edge_annotated.inp \
$REFERENCE/"$regr_test"/chemkin/species_edge_dictionary.txt \
@@ -338,7 +356,7 @@ jobs:
if [ -f test/regression/"$regr_test"/regression_input.py ];
then
echo ""
- if python rmgpy/tools/regression.py \
+ if conda run -n rmg_env_without_rms python rmgpy/tools/regression.py \
test/regression/"$regr_test"/regression_input.py \
$REFERENCE/"$regr_test"/chemkin \
test/regression/"$regr_test"/chemkin 2> regression.py.err
@@ -381,14 +399,14 @@ jobs:
- name: Upload regression summary artifact
# the annotate workflow uses this artifact to add a comment to the PR
- uses: actions/upload-artifact@v4
+ uses: actions/upload-artifact@v7
if: ${{ github.event_name == 'pull_request' }}
with:
name: regression_summary
path: summary.txt
- name: Upload Comparison Results
- uses: actions/upload-artifact@v4
+ uses: actions/upload-artifact@v7
with:
name: regression_test_comparison_results
path: |
@@ -413,20 +431,20 @@ jobs:
(github.event_name == 'pull_request' && github.event.pull_request.head.repo.full_name == 'ReactionMechanismGenerator/RMG-Py')
steps:
- name: Set up QEMU
- uses: docker/setup-qemu-action@v3
+ uses: docker/setup-qemu-action@v4
- name: Set up Docker Buildx
- uses: docker/setup-buildx-action@v3
+ uses: docker/setup-buildx-action@v4
- name: Login to Docker Hub
if: github.ref == 'refs/heads/main' && github.repository == 'ReactionMechanismGenerator/RMG-Py'
- uses: docker/login-action@v3
+ uses: docker/login-action@v4
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_TOKEN }}
- name: Build (and Push if on main)
- uses: docker/build-push-action@v6
+ uses: docker/build-push-action@v7
env:
BUILDKIT_PROGRESS: plain
with:
diff --git a/.github/workflows/annotate.yml b/.github/workflows/annotate.yml
index 3052005bb05..13acf588eef 100644
--- a/.github/workflows/annotate.yml
+++ b/.github/workflows/annotate.yml
@@ -21,7 +21,7 @@ jobs:
steps:
- run: echo 'The triggering workflow passed'
- name: 'Download regression_summary artifact'
- uses: actions/github-script@v6
+ uses: actions/github-script@v9
with:
script: |
let allArtifacts = await github.rest.actions.listWorkflowRunArtifacts({
@@ -51,10 +51,10 @@ jobs:
sed -i '1d' summary.txt
- name: Write summary to pull request as a comment
- uses: thollander/actions-comment-pull-request@v2
+ uses: thollander/actions-comment-pull-request@v3
with:
- filePath: summary.txt
- pr_number: ${{ env.PR_NUMBER }}
+ file-path: summary.txt
+ pr-number: ${{ env.PR_NUMBER }}
- name: Report the github.event.workflow_run as json
if: ${{ failure() }}
diff --git a/.github/workflows/conda_build.yml b/.github/workflows/conda_build.yml
index 9e5b0e874ab..fc3fc09ae1e 100644
--- a/.github/workflows/conda_build.yml
+++ b/.github/workflows/conda_build.yml
@@ -12,40 +12,69 @@ on:
- stable
jobs:
build:
+ # Timeout to avoid waisting the default 6-hour runner allotment.
+ timeout-minutes: 180
strategy:
fail-fast: false
matrix:
- os: [ubuntu-latest, macos-13, macos-latest]
+ os: [ubuntu-latest, macos-15-intel, macos-latest]
numpy-version: ["1.26"]
- python-version: ["3.9"]
+ python-version: ["3.9", "3.10", "3.11"]
+ is_pr: ["${{ contains(github.event_name, 'pull_request') }}"]
+ exclude:
+ # for PRs just run a single build per platform to save time and resources
+ - is_pr: true
+ os: ubuntu-latest
+ python-version: "3.9"
+ - is_pr: true
+ os: ubuntu-latest
+ python-version: "3.10"
+ - is_pr: true
+ os: macos-15-intel
+ python-version: "3.9"
+ - is_pr: true
+ os: macos-15-intel
+ python-version: "3.10"
+ - is_pr: true
+ os: macos-latest
+ python-version: "3.9"
+ - is_pr: true
+ os: macos-latest
+ python-version: "3.10"
runs-on: ${{ matrix.os }}
- name: Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }}
+ name: Conda Build ${{ matrix.os }} Python ${{ matrix.python-version }} Numpy ${{ matrix.numpy-version }}
defaults:
run:
shell: bash -l {0}
steps:
- - uses: actions/checkout@v4
+ - uses: actions/checkout@v6
- name: Setup Miniforge
- uses: conda-incubator/setup-miniconda@v3
+ uses: conda-incubator/setup-miniconda@v4
with:
miniforge-variant: Miniforge3
miniforge-version: latest
auto-update-conda: true
show-channel-urls: true
conda-remove-defaults: "true"
- auto-activate-base: "true"
+ auto-activate: true
activate-environment: ""
- name: Install Build Tools
- run: conda install python anaconda-client conda-build
+ run: conda install -y python anaconda-client conda-build
- - name: Configure Auto-Upload
- if: github.ref == 'refs/heads/stable'
+ - name: Show solver and runner info
+ # Small diagnostic snapshot.
run: |
- conda config --set anaconda_upload yes
+ conda info
+ conda config --show-sources
+ conda list -n base | sed -n '1,40p'
+ uname -a
+ sysctl hw.memsize hw.ncpu hw.physicalcpu 2>/dev/null || cat /proc/meminfo 2>/dev/null | head -3 || true
- name: Build Binary
+ env:
+ CONDA_VERBOSITY: "1"
run: |
# set a default value to the conda_token if needed (like from forks)
: "${CONDA_TOKEN:=${{ secrets.ANACONDA_TOKEN }}}"
@@ -53,12 +82,24 @@ jobs:
echo "CONDA_TOKEN=$CONDA_TOKEN" >> $GITHUB_ENV
conda config --add channels rmg
conda config --add channels conda-forge
- CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build --token $CONDA_TOKEN --user rmg .
+ # --add prepends, so the final channel order is [conda-forge, rmg, ...].
+ # Strict priority makes the solver skip lower-priority channels entirely
+ # for any package the higher-priority channel offers.
+ conda config --set channel_priority strict
+ conda config --set anaconda_upload no
+ CONDA_NPY=${{ matrix.numpy-version }} CONDA_PY=${{ matrix.python-version }} conda build .
+
+ - name: Upload Built Binaries
+ if: >
+ (github.event_name == 'push' && github.ref == 'refs/heads/stable') ||
+ (github.event_name == 'workflow_dispatch' && github.ref == 'refs/heads/stable')
+ run: |
+ anaconda -t ${{ secrets.ANACONDA_TOKEN }} upload $(conda build --output)
result:
if: ${{ always() }}
runs-on: ubuntu-latest
- name: Final Results
+ name: Conda Build Results
needs: [build]
steps:
- run: exit 1
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
index 8aefce11149..0ca65d1e42f 100644
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -7,6 +7,7 @@ on:
pull_request:
schedule:
# * is a special character in YAML so you have to quote this string
+ # weekly: runs at 8am UTC on Mondays
- cron: "0 8 * * 1"
jobs:
@@ -22,17 +23,17 @@ jobs:
git config --global user.email "github-actions@github.com"
- name: Clone RMG-Py
- uses: actions/checkout@v4
+ uses: actions/checkout@v6
with:
fetch-depth: 0
- - name: Setup Miniforge Python 3.9
- uses: conda-incubator/setup-miniconda@v3
+ - name: Setup Miniforge Python 3.11
+ uses: conda-incubator/setup-miniconda@v4
with:
environment-file: environment.yml
miniforge-variant: Miniforge3
miniforge-version: latest
- python-version: "3.9"
+ python-version: "3.11"
activate-environment: rmg_env
auto-update-conda: true
show-channel-urls: true
@@ -68,7 +69,7 @@ jobs:
make
- name: Checkout gh-pages Branch
- uses: actions/checkout@v2
+ uses: actions/checkout@v6
with:
ref: gh-pages
fetch-depth: 0
@@ -86,6 +87,7 @@ jobs:
- name: Check documentation links
continue-on-error: true
+ timeout-minutes: 60
run: |
cd documentation
sphinx-build -b linkcheck -d build/doctrees/ source/ build/linkcheck | grep -e broken -e redirect | grep -v -e 'redirect https://doi.org/' -e 'broken https://doi.org/.* 403 Client Error: Forbidden'
diff --git a/.github/workflows/stale.yml b/.github/workflows/stale.yml
index d52056b4798..fd837d4a801 100644
--- a/.github/workflows/stale.yml
+++ b/.github/workflows/stale.yml
@@ -14,7 +14,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Check for Stale Issues and Pull Requests
- uses: actions/stale@main
+ uses: actions/stale@v10
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
stale-issue-message: 'This issue is being automatically marked as stale because it has not received any interaction in the last 90 days. Please leave a comment if this is still a relevant issue, otherwise it will automatically be closed in 30 days.'
diff --git a/.gitignore b/.gitignore
index 8f6b5127433..4a3a9a662e1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -16,6 +16,7 @@ reactionmechanismgenerator.egg-info/
*.pyd
# and intermediate source files
*.c
+rmgpy/**/*.html
# Image files generated by RMG
*.png
@@ -24,6 +25,7 @@ reactionmechanismgenerator.egg-info/
# Temporary build files
build/*
+.installed
# Compiled documentation
documentation/build/*
@@ -105,7 +107,8 @@ test/arkane/data/two_parameter_arrhenius_fit/arkane.log
test/arkane/data/two_parameter_arrhenius_fit/output.py
test/arkane/data/two_parameter_arrhenius_fit/chem.inp
test/rmgpy/test_data/temp_dir_for_testing/cantera/chem001.yaml
-rmgpy/test_data/copied_kinetic_lib/
+test/rmgpy/test_data/yaml_writer_data/*/from_main_test.yaml
+test/rmgpy/test_data/copied_kinetic_lib/
testing/qm/*
test_log.txt
rmgpy/tools/data/flux/flux/1/*.dot
@@ -126,6 +129,8 @@ examples/**/plots
examples/**/chemkin/*.inp
examples/**/chemkin/tran.dat
examples/**/chemkin/*dictionary.txt
+examples/**/cantera1/
+examples/**/cantera2/
examples/**/chem*.yaml
examples/**/rms/*.rms
examples/**/output*.html
diff --git a/Arkane.py b/Arkane.py
index 0b409f4d326..77a1b4c9c6a 100644
--- a/Arkane.py
+++ b/Arkane.py
@@ -1,3 +1,32 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
from arkane import __main__
if __name__ == "__main__":
diff --git a/CLAUDE.md b/CLAUDE.md
new file mode 100644
index 00000000000..12c3d571bd5
--- /dev/null
+++ b/CLAUDE.md
@@ -0,0 +1,143 @@
+# CLAUDE.md
+
+Guidance for AI agents working in this repo. Also read [.github/copilot-instructions.md](.github/copilot-instructions.md) for project overview, package layout, and code patterns. This file focuses on the non-obvious mechanics of building, testing, and contributing.
+
+## What this repo is
+
+**RMG-Py** = Reaction Mechanism Generator (chemical kinetics mechanism generator). Two installable packages: `rmgpy/` (mechanism generation) and `arkane/` (statistical mechanics from QM calculations). Heavy use of Cython for performance. Depends on a sibling repo **RMG-database** for thermo/kinetics data.
+
+Entry points:
+- `rmg.py ` — runs RMG on a Python-style input file (see `examples/rmg/minimal/input.py`)
+- `Arkane.py ` — runs Arkane
+- Both are also installed as console scripts (`rmg.py`, `Arkane.py`) via `setup.py`. They thin-wrap `rmgpy.__main__:main` / `arkane.__main__:main`.
+- Scripts under `scripts/` are also installed (e.g. `simulate.py`, `diffModels.py`, `mergeModels.py`, `rmg2to3.py`).
+
+## Setup
+
+The conda env is the only supported install path. Python is pinned `>=3.9,<3.12`.
+
+```bash
+conda env create --file environment.yml # creates env named `rmg_env`
+conda activate rmg_env
+git clone https://github.com/ReactionMechanismGenerator/RMG-database ../RMG-database
+make install
+```
+
+`make install` runs `python utilities.py check-pydas` (which writes [rmgpy/solver/settings.pxi](rmgpy/solver/settings.pxi) — see Cython section), then `pip install --no-build-isolation -vv -e .`, then touches a `.installed` sentinel. Subsequent `make` invocations skip reinstall unless the sentinel is missing.
+
+**Always keep [environment.yml](environment.yml) and [.conda/meta.yaml](.conda/meta.yaml) in sync** — both define runtime deps and CI builds from `meta.yaml` for the conda package.
+
+Optional pieces:
+- `./install_rms.sh` — installs ReactionMechanismSimulator (Julia-based reactor backend). Required for `rms*` reactor types in input files. Honors `RMS_INSTALLER={continuous,standard,developer}` and `RMS_BRANCH` (default `for_rmg`).
+- `make q2dtor` — clones Q2DTor into `external/` for 2D rotor calculations in Arkane.
+
+## Build / Cython
+
+Cython modules are listed explicitly in `setup.py` `ext_modules`. **Some `.py` files are cythonized** (not just `.pyx`): e.g. `rmgpy/molecule/molecule.py`, `group.py`, `atomtype.py`, `rmgpy/species.py`, `rmgpy/reaction.py`, `rmgpy/quantity.py`, `rmgpy/constants.py`. If you edit one of these, **rebuild** — the `.so` is what gets imported, not the `.py`.
+
+Workflow:
+- `make build` — incremental in-place `setup.py build_ext --inplace`. Fast. Use this after editing `.pyx`/`.pxd`/cythonized `.py`.
+- `make` (default `all`) — checks deps, ensures `.installed` sentinel, then `make build`. Safe go-to.
+- `make clean` — removes `.so`, `.pyc`, generated `.c`, `build/`, and `.installed`. Also `pip uninstall`s the package.
+- `make decython` — deletes most `.so` files (keeps `_statmech.so`, `quantity.so`, and `rmgpy/solver/*.so`) so pure Python is loaded for debugging. **Pure Python mode is not reliably tested**; expect breakage.
+
+Cython conventions in this repo:
+- Compile language level is Python 3.
+- Pair every public `cdef class` / `cpdef` method with a `.pxd` declaration.
+- New extension files **must be added to `ext_modules` in `setup.py`** or they will silently not be built.
+- The DASPK/DASSL solver is selected at compile time via `rmgpy/solver/settings.pxi` (auto-written by `utilities.py check-pydas` from whatever PyDAS variant is installed). Do not commit changes to `settings.pxi`.
+- macOS-specific: `setup.py` deduplicates `-Wl,-rpath` flags from sysconfig before invoking Cython, to work around an LC_RPATH issue with conda-forge's Python on darwin. Don't remove that block.
+
+## Tests
+
+Configured in [pytest.ini](pytest.ini): `testpaths = test`, `python_files = *Test.py`, `python_classes = *Test Test*`. Tests live under `test/` mirroring `rmgpy/` and `arkane/`.
+
+Default pytest flags include `-s -vv --keep-duplicates` and coverage (`--cov=arkane --cov=rmgpy --cov-report html`). `test/regression/` is excluded.
+
+Markers (from `pytest.ini`):
+- `@pytest.mark.functional` — slower functional tests
+- `@pytest.mark.database` — tests that require RMG-database to be cloned and loaded
+- Unmarked = unit tests
+
+Make targets:
+```bash
+make test # unit tests only (excludes functional, database)
+make test-functional
+make test-database
+make test-all # everything
+```
+
+Run a subset directly:
+```bash
+pytest test/rmgpy/molecule/atomtypeTest.py
+pytest -k "test_pattern"
+pytest -m "functional"
+```
+
+`pytest-xdist` (`-n auto`) is supported but **incompatible with RMS/Julia** — only use when RMS is not installed.
+
+`test/conftest.py` forces `multiprocessing.set_start_method('fork')` and silences OpenBabel error logging. Be aware of the `fork` start method when adding tests that touch multiprocessing.
+
+### Regression tests
+
+Separate from pytest. Each `test/regression//` has an `input.py`. CI runs `python rmg.py test/regression//input.py` and diffs core/edge models against artifacts produced on `main`. Locally you can reproduce a single one:
+```bash
+python rmg.py test/regression/superminimal/input.py
+python scripts/checkModels.py ... # (see .github/workflows/CI.yml for arg shape)
+```
+Adding a new regression test means editing the **two lists** in [.github/workflows/CI.yml](.github/workflows/CI.yml) (Execution + Comparison steps); the first PR will fail CI until baseline artifacts exist on `main`.
+
+The `Makefile` also has `eg0`-`eg10` targets that copy example inputs into `testing//` and run `rmg.py` — useful for ad-hoc end-to-end smoke testing (`eg0` is fastest).
+
+## Linting / formatting / typing
+
+There is **no configured linter, formatter, or type checker** in this repo (no `pyproject.toml`, `ruff.toml`, `.flake8`, `mypy.ini`, or `pre-commit` config). The only style guidance is "follow PEP 8 for new code, but don't churn existing code just for style." Don't run `black`/`ruff format`/`isort` over the tree as part of unrelated changes — diffs balloon and reviews stall.
+
+## Database integration
+
+RMG looks up `database.directory` in this order:
+1. `database.load(path=...)` arg in code
+2. `rmgrc` in cwd
+3. `~/.rmg/rmgrc`
+4. `rmgpy/rmgrc` (alongside the package)
+5. Default: `../RMG-database/input` relative to RMG-Py source
+
+Template: [rmgpy/rmgrc_template](rmgpy/rmgrc_template). Copy it (don't edit in place — it's overwritten on install). In CI, the database is checked out at the branch named in `RMG_DATABASE_BRANCH` (env var in [.github/workflows/CI.yml](.github/workflows/CI.yml)); change that line if your PR depends on an unmerged database branch.
+
+## Conventions
+
+- **Python API uses `snake_case`**.
+- **Input file DSL keeps `camelCase`** (`thermoLibraries`, `simpleReactor`, `terminationConversion`, ...) for backward compatibility. When adding a new input keyword, follow camelCase and update [documentation/source/users/rmg/input.rst](documentation/source/users/rmg/input.rst).
+- All source files require the MIT license header (template lives in [LICENSE.txt](LICENSE.txt); `python utilities.py update-headers` re-applies it across `.py`/`.pyx`/`.pxd` in `rmgpy/`, `scripts/`, and the root).
+- Use `logging` not `print`.
+- Don't reach for `__init__.py`-as-namespace imports across cython modules; use `cimport rmgpy.constants as constants` etc.
+- Git commit messages should include a short summary (one line), followed by a blank line, then a more detailed description that explains the motivation and rationale for the change, so that a human code reviewer can understand without the context of the conversation.
+
+## Documentation
+
+Sphinx docs in `documentation/source/`. Build with `make documentation` (calls `make -C documentation html`). Output: `documentation/build/html/index.html`. Built with the standard `rmg_env` (no separate doc env).
+
+When changing things, also update:
+- **Input file syntax / new options** → [documentation/source/users/rmg/input.rst](documentation/source/users/rmg/input.rst) (this is treated as required by reviewers).
+- **New public API** → ensure docstrings exist; add module to a toctree under `documentation/source/reference/` if the module is new. API docs are auto-generated via `sphinx.ext.autodoc`.
+- **New user-facing feature** → mention in `documentation/source/users/rmg/features.rst` or a sibling `.rst`.
+- **Behavior change** → relevant section of the user guide (`users/rmg/` or `users/arkane/`).
+
+You should keep this documentation (CLAUDE.md) up to date as needed.
+Always make changes to this file in a separate commit for clarity, and explain in detail to the user why changes were necessary.
+
+The `gh-pages` branch hosts the live site; CI publishes on push to `main`.
+
+## CI
+
+- [.github/workflows/CI.yml](.github/workflows/CI.yml): build + tests on Linux (ubuntu-latest, all Python versions, with and without RMS) and macOS (latest Python only). Linux runs `make test-all`; other matrix entries run only unit tests. Regression job runs separately on `ubuntu-latest`.
+- [.github/workflows/conda_build.yml](.github/workflows/conda_build.yml): builds the conda package from [.conda/meta.yaml](.conda/meta.yaml).
+- [.github/workflows/docs.yml](.github/workflows/docs.yml): Sphinx build + publish to `gh-pages`.
+
+## Quick gotchas
+
+- **Edits to `.pyx`/`.pxd`/cythonized `.py` won't take effect until you rebuild** (`make build`). Mysterious unchanged behavior is almost always a stale `.so`.
+- **`.so` files persist across branch switches.** When chasing a weird bug after a checkout, `make clean && make` before debugging.
+- **Don't use `--no-verify` or skip Cython rebuilds** to make a commit go through; the underlying issue will resurface in CI.
+- **Functional/database tests need RMG-database checked out** at a compatible branch in `../RMG-database`.
+- **RMS reactor types in input files require Julia** — without `install_rms.sh` they'll fail at runtime, not import.
diff --git a/Dockerfile b/Dockerfile
index 9f63298725e..080c962d944 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -1,5 +1,5 @@
# Parent Image
-FROM ubuntu:latest
+FROM condaforge/miniforge3:latest
# Install Bash shell
RUN ln -snf /bin/bash /bin/sh
@@ -33,12 +33,6 @@ RUN wget -qO- https://install.julialang.org | sh -s -- --yes --default-channel 1
rm -rf /root/.juliaup/downloads /root/.juliaup/tmp
ENV PATH="/root/.juliaup/bin:$PATH"
-# Install conda
-RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
- bash Miniconda3-latest-Linux-x86_64.sh -b -p /miniconda && \
- rm Miniconda3-latest-Linux-x86_64.sh
-ENV PATH="/miniconda/bin:$PATH"
-
# Set Bash as the default shell for following commands
SHELL ["/bin/bash", "-c"]
@@ -83,9 +77,11 @@ RUN make
# setting this env variable fixes an issue with Julia precompilation on Windows
ENV JULIA_CPU_TARGET="x86-64,haswell,skylake,broadwell,znver1,znver2,znver3,cascadelake,icelake-client,cooperlake,generic"
ENV RMS_BRANCH=${RMS_Branch}
+ENV RMS_INSTALLER=continuous
# Usually this is set automatically, but we're not actually running
# in an active conda environment when building the Docker so we need to set it manually
ENV PYTHON_JULIAPKG_PROJECT="/miniconda/envs/rmg_env/julia_env"
+ENV JULIA_PYTHONCALL_EXE="/miniconda/envs/rmg_env/bin/python"
RUN source install_rms.sh
# RMG-Py should now be installed and ready - trigger precompilation and test run
@@ -94,7 +90,7 @@ RUN python rmg.py examples/rmg/rms_constant_V/input.py
RUN rm -rf examples/rmg/rms_constant_V/* && \
git checkout -- examples/rmg/rms_constant_V/
-# when running this image, open an interactive bash terminal inside the conda environment
-RUN conda init
-RUN echo "conda activate rmg_env" >> ~/.bashrc
+# when running this image, open an interactive bash terminal inside the rmg_env conda environment
+RUN sed -i 's/conda activate base/conda activate rmg_env/' ~/.bashrc
ENTRYPOINT ["/bin/bash", "--login"]
+
diff --git a/LICENSE.txt b/LICENSE.txt
index 400ce683c8e..3feb88a377f 100644
--- a/LICENSE.txt
+++ b/LICENSE.txt
@@ -1,4 +1,4 @@
-Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu),
+Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu),
Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu)
Permission is hereby granted, free of charge, to any person obtaining a
diff --git a/Makefile b/Makefile
index 1f1997af760..54d8303c56c 100644
--- a/Makefile
+++ b/Makefile
@@ -7,14 +7,37 @@
CC=gcc
CXX=g++
-.PHONY : all check clean install decython documentation test q2dtor
+# Sentinel file written after a successful pip editable install.
+# Lives in the source tree; deleted by `make clean`.
+INSTALL_SENTINEL = .installed
-all: check install check
+.PHONY : all build check clean install decython documentation test q2dtor
+
+# Default target: ensure installed, then build any changed extensions in place.
+all: check $(INSTALL_SENTINEL) build check
check:
@ python utilities.py check-dependencies
@ python utilities.py check-pydas
+define DO_INSTALL
+ @ python utilities.py check-pydas
+ python -m pip install --no-build-isolation -vv -e .
+ @ touch $(INSTALL_SENTINEL)
+endef
+
+# Runs only if the sentinel doesn't exist.
+$(INSTALL_SENTINEL):
+ $(DO_INSTALL)
+
+# Explicit install target
+install:
+ $(DO_INSTALL)
+
+# Incremental in-place build; skips pip entirely.
+build:
+ python setup.py build_ext --inplace
+
documentation:
$(MAKE) -C documentation html
@ echo "Start at: documentation/build/html/index.html"
@@ -22,14 +45,11 @@ documentation:
clean:
@ python utilities.py clean
python -m pip uninstall --yes reactionmechanismgenerator || true # can fail if RMG not installed at all
+ @ rm -f $(INSTALL_SENTINEL)
clean-solver:
@ python utilities.py clean-solver
-install:
- @ python utilities.py check-pydas
- python -m pip install -vv -e .
-
q2dtor:
@ echo -e "\nInstalling Q2DTor...\n"
@ echo -e "Q2DTor is a software for calculating the partition functions and themodynamic properties\
@@ -112,7 +132,7 @@ eg7: all
cp examples/rmg/gri_mech_rxn_lib/input.py testing/eg7/input.py
@ echo "Running eg7: gri_mech_rxn_lib example"
python rmg.py testing/eg7/input.py
-
+
scoop: all
mkdir -p testing/scoop
rm -rf testing/scoop/*
diff --git a/arkane/__init__.py b/arkane/__init__.py
index d9517bc888a..5b13a4b2118 100644
--- a/arkane/__init__.py
+++ b/arkane/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/__main__.py b/arkane/__main__.py
index 39a6afe915b..21ba086b3f9 100644
--- a/arkane/__main__.py
+++ b/arkane/__main__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/common.py b/arkane/common.py
index a706417b886..b7a5e015e25 100644
--- a/arkane/common.py
+++ b/arkane/common.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -695,8 +695,8 @@ def get_principal_moments_of_inertia(coords, numbers=None, symbols=None):
tuple: The corresponding principal axes.
"""
tensor0 = get_moment_of_inertia_tensor(coords=coords, numbers=numbers, symbols=symbols)
- # Since tensor0 is real and symmetric, diagonalization is always possible
- principal_moments_of_inertia, axes = np.linalg.eig(tensor0)
+ # tensor0 is real and symmetric by construction; use eigh so eigenvalues are guaranteed real.
+ principal_moments_of_inertia, axes = np.linalg.eigh(tensor0)
principal_moments_of_inertia, axes = zip(*sorted(zip(np.ndarray.tolist(principal_moments_of_inertia),
np.ndarray.tolist(axes)), reverse=True))
return principal_moments_of_inertia, axes
diff --git a/arkane/data/xTB/CO2_xtb.out b/arkane/data/xTB/CO2_xtb.out
new file mode 100644
index 00000000000..3eed4a15bb2
--- /dev/null
+++ b/arkane/data/xTB/CO2_xtb.out
@@ -0,0 +1,538 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN1-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for ALPB and GBSA implicit solvation:
+ * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput.,
+ 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ for SPH calculations refer to:
+ * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714
+ DOI: 10.1021/acs.jctc.0c01306
+
+ with help from (in alphabetical order)
+ P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher
+ M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer
+ A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller,
+ F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar,
+ J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk,
+ J. Stückrath, T. Rose, and J. Unsleber
+
+ * started run on 2022/07/25 at 05:22:50.670
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : xtb input.in --ohess
+ coordinate file : input.in
+ omp threads : 24
+
+ ID Z sym. atoms
+ 1 8 o 1, 3
+ 2 6 c 2
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 12 :
+ : # atomic orbitals 12 :
+ : # shells 6 :
+ : # electrons 16 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.1007538 -0.101008E+02 0.106E+01 4.97 0.0 T
+ 2 -10.0837734 0.169804E-01 0.574E+00 3.59 1.0 T
+ 3 -10.0773402 0.643318E-02 0.626E+00 5.06 1.0 T
+ 4 -10.1510321 -0.736919E-01 0.259E-01 4.20 1.0 T
+ 5 -10.1510272 0.488608E-05 0.921E-02 4.19 1.0 T
+ 6 -10.1510323 -0.506258E-05 0.265E-02 4.20 2.2 T
+ 7 -10.1510345 -0.226921E-05 0.418E-03 4.20 13.8 T
+ 8 -10.1510346 -0.196644E-07 0.156E-03 4.20 37.0 T
+ 9 -10.1510346 -0.850277E-08 0.674E-06 4.20 8561.2 T
+ 10 -10.1510346 -0.710543E-13 0.255E-06 4.20 22676.3 T
+
+ *** convergence criteria satisfied after 10 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.7653646 -20.8266
+ 2 2.0000 -0.7649366 -20.8150
+ 3 2.0000 -0.6584822 -17.9182
+ 4 2.0000 -0.6147223 -16.7274
+ 5 2.0000 -0.6084645 -16.5572
+ 6 2.0000 -0.6084645 -16.5572
+ 7 2.0000 -0.5293643 -14.4047
+ 8 2.0000 -0.5293643 -14.4047 (HOMO)
+ 9 -0.3750715 -10.2062 (LUMO)
+ 10 -0.3750715 -10.2062
+ 11 -0.2101496 -5.7185
+ 12 0.2402001 6.5362
+ -------------------------------------------------------------
+ HL-Gap 0.1542928 Eh 4.1985 eV
+ Fermi-level -0.4522179 Eh -12.3055 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.403 sec
+ SCC setup ... 0 min, 0.010 sec ( 2.419%)
+ Dispersion ... 0 min, 0.003 sec ( 0.781%)
+ classical contributions ... 0 min, 0.010 sec ( 2.444%)
+ integral evaluation ... 0 min, 0.000 sec ( 0.036%)
+ iterations ... 0 min, 0.286 sec ( 70.971%)
+ molecular gradient ... 0 min, 0.094 sec ( 23.285%)
+ printout ... 0 min, 0.000 sec ( 0.057%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -10.135996710859 Eh ::
+ :: gradient norm 0.370268159994 Eh/a0 ::
+ :: HOMO-LUMO gap 4.198520838595 eV ::
+ ::.................................................::
+ :: SCC energy -10.151034559557 Eh ::
+ :: -> isotropic ES 0.030700273527 Eh ::
+ :: -> anisotropic ES 0.002732467907 Eh ::
+ :: -> anisotropic XC 0.003162451907 Eh ::
+ :: -> dispersion -0.000668659270 Eh ::
+ :: repulsion energy 0.015037855445 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -----------------------------------------------------------
+ | ===================== |
+ | A N C O P T |
+ | ===================== |
+ | Approximate Normal Coordinate |
+ | Rational Function Optimizer |
+ -----------------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : optimization level normal :
+ : max. optcycles 200 :
+ : ANC micro-cycles 20 :
+ : degrees of freedom 4 :
+ :.................................................:
+ : RF solver davidson :
+ : write xtbopt.log true :
+ : linear (good luck) true :
+ : energy convergence 0.5000000E-05 Eh :
+ : grad. convergence 0.1000000E-02 Eh/α :
+ : maximium RF displ. 1.0000000 :
+ : Hlow (freq-cutoff) 0.1000000E-01 :
+ : Hmax (freq-cutoff) 5.0000000 :
+ : S6 in model hess. 20.0000000 :
+ ...................................................
+
+generating ANC from model Hessian ...
+Using Lindh-Hessian (1995)
+ Shifting diagonal of input Hessian by 0.0000000000000000
+ Lowest eigenvalues of input Hessian
+ 0.000000 0.000000 0.000000 0.000000 0.000000 0.215176
+ 0.215176 0.561115 1.673465
+ Highest eigenvalues
+ 0.000000 0.000000 0.215176 0.215176 0.561115 1.673465
+
+
+........................................................................
+.............................. CYCLE 1 ..............................
+........................................................................
+ 1 -10.1510346 -0.101510E+02 0.444E-08 4.20 0.0 T
+ 2 -10.1510346 0.177636E-14 0.438E-08 4.20 100000.0 T
+ 3 -10.1510346 0.000000E+00 0.118E-08 4.20 100000.0 T
+ SCC iter. ... 0 min, 0.092 sec
+ gradient ... 0 min, 0.072 sec
+ * total energy : -10.1359967 Eh change -0.1243450E-13 Eh
+ gradient norm : 0.3702682 Eh/α predicted 0.0000000E+00 (-100.00%)
+ displ. norm : 0.4969294 α lambda -0.1839972E+00
+ maximum displ.: 0.4969294 α in ANC's #3, #1, #2, ...
+
+........................................................................
+.............................. CYCLE 2 ..............................
+........................................................................
+ 1 -10.3526738 -0.103527E+02 0.234E+00 7.05 0.0 T
+ 2 -10.3544820 -0.180822E-02 0.145E+00 6.75 1.0 T
+ 3 -10.3547344 -0.252415E-03 0.774E-01 6.94 1.0 T
+ 4 -10.3552207 -0.486288E-03 0.757E-02 6.86 1.0 T
+ 5 -10.3552194 0.132848E-05 0.224E-02 6.86 2.6 T
+ 6 -10.3552209 -0.153895E-05 0.171E-03 6.86 33.8 T
+ 7 -10.3552209 -0.351930E-08 0.157E-04 6.85 366.6 T
+ 8 -10.3552209 -0.336442E-11 0.372E-06 6.85 15531.4 T
+ SCC iter. ... 0 min, 0.234 sec
+ gradient ... 0 min, 0.086 sec
+ * total energy : -10.2874264 Eh change -0.1514297E+00 Eh
+ gradient norm : 0.1913381 Eh/α predicted -0.1147166E+00 ( -24.24%)
+ displ. norm : 0.4321505 α lambda -0.8268689E-01
+ maximum displ.: 0.4321505 α in ANC's #3, #4, #1, ...
+
+........................................................................
+.............................. CYCLE 3 ..............................
+........................................................................
+ 1 -10.5022216 -0.105022E+02 0.282E+00 11.07 0.0 T
+ 2 -10.5040084 -0.178678E-02 0.164E+00 10.81 1.0 T
+ 3 -10.5040388 -0.304142E-04 0.476E-01 10.88 1.0 T
+ 4 -10.5040796 -0.408503E-04 0.682E-02 10.84 1.0 T
+ 5 -10.5040795 0.881504E-07 0.695E-03 10.84 8.3 T
+ 6 -10.5040796 -0.107646E-06 0.117E-03 10.84 49.4 T
+ 7 -10.5040796 -0.753690E-10 0.848E-05 10.84 680.9 T
+ 8 -10.5040796 -0.688694E-11 0.142E-06 10.84 40655.2 T
+ SCC iter. ... 0 min, 0.238 sec
+ gradient ... 0 min, 0.084 sec
+ * total energy : -10.2681402 Eh change 0.1928617E-01 Eh
+ gradient norm : 0.3875581 Eh/α predicted -0.4906449E-01 (-354.40%)
+ displ. norm : 0.2684634 α lambda -0.1040451E+00
+ maximum displ.: 0.2684634 α in ANC's #3, #1, #2, ...
+
+........................................................................
+.............................. CYCLE 4 ..............................
+........................................................................
+ 1 -10.4154030 -0.104154E+02 0.191E+00 7.94 0.0 T
+ 2 -10.4168194 -0.141640E-02 0.113E+00 8.19 1.0 T
+ 3 -10.4169413 -0.121900E-03 0.560E-01 8.07 1.0 T
+ 4 -10.4170767 -0.135356E-03 0.636E-02 8.11 1.0 T
+ 5 -10.4170772 -0.501209E-06 0.617E-03 8.12 9.4 T
+ 6 -10.4170773 -0.811078E-07 0.850E-04 8.12 67.9 T
+ 7 -10.4170773 -0.107153E-09 0.297E-05 8.12 1942.5 T
+ SCC iter. ... 0 min, 0.196 sec
+ gradient ... 0 min, 0.084 sec
+ * total energy : -10.3076013 Eh change -0.3946106E-01 Eh
+ gradient norm : 0.0442511 Eh/α predicted -0.5577199E-01 ( 41.33%)
+ displ. norm : 0.0274909 α lambda -0.1216500E-02
+ maximum displ.: 0.0274909 α in ANC's #3, #4, #2, ...
+
+........................................................................
+.............................. CYCLE 5 ..............................
+........................................................................
+ 1 -10.4269290 -0.104269E+02 0.178E-01 8.37 0.0 T
+ 2 -10.4269396 -0.106159E-04 0.105E-01 8.35 1.0 T
+ 3 -10.4269401 -0.488665E-06 0.480E-02 8.36 1.2 T
+ 4 -10.4269412 -0.110765E-05 0.548E-03 8.36 10.5 T
+ 5 -10.4269412 -0.196353E-08 0.167E-04 8.36 345.1 T
+ 6 -10.4269412 -0.965628E-11 0.805E-05 8.36 717.1 T
+ SCC iter. ... 0 min, 0.174 sec
+ gradient ... 0 min, 0.089 sec
+ * total energy : -10.3083872 Eh change -0.7858751E-03 Eh
+ gradient norm : 0.0125378 Eh/α predicted -0.6087097E-03 ( -22.54%)
+ displ. norm : 0.0108672 α lambda -0.1362493E-03
+ maximum displ.: 0.0108672 α in ANC's #3, #4, #1, ...
+
+........................................................................
+.............................. CYCLE 6 ..............................
+........................................................................
+ 1 -10.4307891 -0.104308E+02 0.714E-02 8.46 0.0 T
+ 2 -10.4307908 -0.170189E-05 0.420E-02 8.45 1.4 T
+ 3 -10.4307909 -0.747659E-07 0.190E-02 8.46 3.0 T
+ 4 -10.4307911 -0.166970E-06 0.218E-03 8.45 26.5 T
+ 5 -10.4307911 -0.306100E-09 0.575E-05 8.45 1003.4 T
+ 6 -10.4307911 -0.241585E-12 0.312E-05 8.45 1853.1 T
+ SCC iter. ... 0 min, 0.180 sec
+ gradient ... 0 min, 0.081 sec
+ * total energy : -10.3084521 Eh change -0.6494850E-04 Eh
+ gradient norm : 0.0006476 Eh/α predicted -0.6813368E-04 ( 4.90%)
+ displ. norm : 0.0008006 α lambda -0.3461407E-06
+ maximum displ.: 0.0008006 α in ANC's #3, #4, #1, ...
+
+........................................................................
+.............................. CYCLE 7 ..............................
+........................................................................
+ 1 -10.4305084 -0.104305E+02 0.528E-03 8.45 0.0 T
+ 2 -10.4305084 -0.935862E-08 0.311E-03 8.45 18.6 T
+ 3 -10.4305084 -0.421489E-09 0.141E-03 8.45 40.9 T
+ 4 -10.4305084 -0.915616E-09 0.162E-04 8.45 356.8 T
+ 5 -10.4305084 -0.173372E-11 0.412E-06 8.45 14005.4 T
+ SCC iter. ... 0 min, 0.145 sec
+ gradient ... 0 min, 0.090 sec
+ * total energy : -10.3084522 Eh change -0.1243137E-06 Eh
+ gradient norm : 0.0003367 Eh/α predicted -0.1728305E-06 ( 39.03%)
+ displ. norm : 0.0002739 α lambda -0.5879194E-07
+ maximum displ.: 0.0002739 α in ANC's #3, #4, #1, ...
+
+ *** GEOMETRY OPTIMIZATION CONVERGED AFTER 7 ITERATIONS ***
+
+------------------------------------------------------------------------
+ total energy gain : -0.1724555 Eh -108.2175 kcal/mol
+ total RMSD : 0.4030910 a0 0.2133 Å
+ total power (kW/mol): -64.6831340 (step) -221.2344 (real)
+------------------------------------------------------------------------
+
+ ANCopt (total) 0 d, 0 h, 0 min, 2.047 sec
+ optimizer setup ... 0 min, 0.000 sec ( 0.004%)
+ model hessian ... 0 min, 0.000 sec ( 0.001%)
+ ANC generation ... 0 min, 0.000 sec ( 0.002%)
+ coordinate transformation ... 0 min, 0.000 sec ( 0.001%)
+ single point calculation ... 0 min, 2.002 sec ( 97.802%)
+ optimization log ... 0 min, 0.001 sec ( 0.038%)
+ hessian update ... 0 min, 0.044 sec ( 2.127%)
+ rational function ... 0 min, 0.000 sec ( 0.010%)
+
+================
+ final structure:
+================
+$coord
+ -2.16138153091286E+00 5.20613777548114E-16 1.14673985615952E-18 o
+ -8.95200516010515E-08 -6.14906634635295E-16 1.14218571599872E-16 c
+ 2.16138162043291E+00 4.79212730686445E-16 -2.64708229938330E-17 o
+$eht charge=0 unpaired=0
+$periodic 0
+$end
+
+ Bond Distances (Angstroems)
+ ---------------------------
+O1-C2=1.1438 C2-O1=1.1438 C2-O3=1.1438 O3-C2=1.1438
+ O C Rav=1.1438 sigma=0.0000 Rmin=1.1438 Rmax=1.1438 2
+
+ selected bond angles (degree)
+ --------------------
+O3-C2-O1=180.00
+
+ selected dihedral angles (degree)
+ ---------------------------------
+
+ -------------------------------------------------
+ | Final Singlepoint |
+ -------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 12 :
+ : # atomic orbitals 12 :
+ : # shells 6 :
+ : # electrons 16 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.4305084 -0.104305E+02 0.342E-07 8.45 0.0 T
+ 2 -10.4305084 0.532907E-14 0.186E-07 8.45 100000.0 T
+ 3 -10.4305084 0.177636E-14 0.936E-08 8.45 100000.0 T
+
+ *** convergence criteria satisfied after 3 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.8107966 -22.0629
+ 2 2.0000 -0.7966721 -21.6786
+ 3 2.0000 -0.6648029 -18.0902
+ 4 2.0000 -0.6634459 -18.0533
+ 5 2.0000 -0.6634459 -18.0533
+ 6 2.0000 -0.5998444 -16.3226
+ 7 2.0000 -0.5344372 -14.5428
+ 8 2.0000 -0.5344372 -14.5428 (HOMO)
+ 9 -0.2240446 -6.0966 (LUMO)
+ 10 -0.2240446 -6.0966
+ 11 0.3095444 8.4231
+ 12 1.3634789 37.1021
+ -------------------------------------------------------------
+ HL-Gap 0.3103926 Eh 8.4462 eV
+ Fermi-level -0.3792409 Eh -10.3197 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.201 sec
+ SCC setup ... 0 min, 0.006 sec ( 2.736%)
+ Dispersion ... 0 min, 0.011 sec ( 5.648%)
+ classical contributions ... 0 min, 0.006 sec ( 2.905%)
+ integral evaluation ... 0 min, 0.000 sec ( 0.067%)
+ iterations ... 0 min, 0.096 sec ( 47.486%)
+ molecular gradient ... 0 min, 0.083 sec ( 41.110%)
+ printout ... 0 min, 0.000 sec ( 0.032%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -10.308452243026 Eh ::
+ :: gradient norm 0.000336725868 Eh/a0 ::
+ :: HOMO-LUMO gap 8.446212794931 eV ::
+ ::.................................................::
+ :: SCC energy -10.430508422218 Eh ::
+ :: -> isotropic ES 0.032323956216 Eh ::
+ :: -> anisotropic ES 0.003405391673 Eh ::
+ :: -> anisotropic XC 0.000434262888 Eh ::
+ :: -> dispersion -0.000687147517 Eh ::
+ :: repulsion energy 0.122056180790 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Numerical Hessian |
+ -------------------------------------------------
+step length : 0.00500
+SCC accuracy : 0.30000
+Hessian scale factor : 1.00000
+frozen atoms in % : 0.00000 0
+RMS gradient : 0.00034
+estimated CPU time 0.00 min
+estimated wall time 0.00 min
+
+writing file .
+
+ vibrational frequencies (cm⁻¹)
+eigval : 0.00 0.00 0.00 0.00 0.00 600.70
+eigval : 600.70 1424.29 2592.18
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.8107966 -22.0629
+ 2 2.0000 -0.7966721 -21.6786
+ 3 2.0000 -0.6648029 -18.0902
+ 4 2.0000 -0.6634459 -18.0533
+ 5 2.0000 -0.6634459 -18.0533
+ 6 2.0000 -0.5998444 -16.3226
+ 7 2.0000 -0.5344372 -14.5428
+ 8 2.0000 -0.5344372 -14.5428 (HOMO)
+ 9 -0.2240446 -6.0966 (LUMO)
+ 10 -0.2240446 -6.0966
+ 11 0.3095444 8.4231
+ 12 1.3634789 37.1021
+ -------------------------------------------------------------
+ HL-Gap 0.3103926 Eh 8.4462 eV
+ Fermi-level -0.3792409 Eh -10.3197 eV
+
+ # Z covCN q C6AA α(0)
+ 1 8 o 0.856 -0.232 18.599 5.782
+ 2 6 c 1.711 0.464 21.601 7.524
+ 3 8 o 0.856 -0.232 18.599 5.782
+
+ Mol. C6AA /au·bohr⁶ : 174.800064
+ Mol. C8AA /au·bohr⁸ : 4029.888003
+ Mol. α(0) /au : 19.088404
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 8 o 2.370 -- 2 c 1.968 3 o 0.402
+ 2 6 c 3.936 -- 1 o 1.968 3 o 1.968
+ 3 8 o 2.370 -- 2 c 1.968 1 o 0.402
+ ---------------------------------------------------------------------------
+
+Topologies differ in total number of bonds
+Writing topology from bond orders to xtbtopo.mol
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: -0.000 0.000 0.000
+ full: -0.000 0.000 0.000 0.000
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: -2.169 0.000 1.084 0.000 -0.000 1.084
+Molecule has the following symmetry elements: (i) (Cinf) (C2) 2*(sigma)
+It seems to be the Dinfh point group
diff --git a/arkane/data/xTB/NCC_xTB.out b/arkane/data/xTB/NCC_xTB.out
new file mode 100644
index 00000000000..4437d65f6c4
--- /dev/null
+++ b/arkane/data/xTB/NCC_xTB.out
@@ -0,0 +1,302 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN1-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for ALPB and GBSA implicit solvation:
+ * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput.,
+ 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ for SPH calculations refer to:
+ * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714
+ DOI: 10.1021/acs.jctc.0c01306
+
+ with help from (in alphabetical order)
+ P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher
+ M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer
+ A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller,
+ F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar,
+ J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk,
+ J. Stückrath, T. Rose, and J. Unsleber
+
+ * started run on 2022/07/25 at 04:54:15.181
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : xtb input.in
+ coordinate file : input.in
+ omp threads : 24
+
+ ID Z sym. atoms
+ 1 7 n 1
+ 2 6 c 2, 3
+ 3 1 h 4-10
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 19 :
+ : # atomic orbitals 19 :
+ : # shells 13 :
+ : # electrons 20 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.8729960 -0.108730E+02 0.292E+00 11.01 0.0 T
+ 2 -10.8929483 -0.199524E-01 0.155E+00 11.27 1.0 T
+ 3 -10.8936747 -0.726402E-03 0.682E-01 11.31 1.0 T
+ 4 -10.8937471 -0.723836E-04 0.975E-02 11.23 1.0 T
+ 5 -10.8937514 -0.431045E-05 0.454E-02 11.23 1.0 T
+ 6 -10.8937519 -0.433308E-06 0.996E-03 11.23 3.2 T
+ 7 -10.8937520 -0.145291E-06 0.204E-03 11.23 15.5 T
+ 8 -10.8937520 -0.295992E-08 0.302E-04 11.23 104.8 T
+ 9 -10.8937520 -0.577529E-10 0.101E-04 11.23 312.6 T
+
+ *** convergence criteria satisfied after 9 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6265775 -17.0500
+ ... ... ... ...
+ 4 2.0000 -0.5194537 -14.1351
+ 5 2.0000 -0.5163789 -14.0514
+ 6 2.0000 -0.4884890 -13.2925
+ 7 2.0000 -0.4537369 -12.3468
+ 8 2.0000 -0.4523900 -12.3102
+ 9 2.0000 -0.4388175 -11.9408
+ 10 2.0000 -0.3630745 -9.8798 (HOMO)
+ 11 0.0494719 1.3462 (LUMO)
+ 12 0.1260207 3.4292
+ 13 0.1321555 3.5961
+ 14 0.1464083 3.9840
+ 15 0.1742217 4.7408
+ ... ... ...
+ 19 0.2783726 7.5749
+ -------------------------------------------------------------
+ HL-Gap 0.4125464 Eh 11.2260 eV
+ Fermi-level -0.1568013 Eh -4.2668 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.434 sec
+ SCC setup ... 0 min, 0.003 sec ( 0.758%)
+ Dispersion ... 0 min, 0.015 sec ( 3.539%)
+ classical contributions ... 0 min, 0.011 sec ( 2.561%)
+ integral evaluation ... 0 min, 0.027 sec ( 6.269%)
+ iterations ... 0 min, 0.286 sec ( 65.962%)
+ molecular gradient ... 0 min, 0.086 sec ( 19.712%)
+ printout ... 0 min, 0.005 sec ( 1.187%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -10.752192838993 Eh ::
+ :: gradient norm 0.017368634110 Eh/a0 ::
+ :: HOMO-LUMO gap 11.225958754700 eV ::
+ ::.................................................::
+ :: SCC energy -10.893752005864 Eh ::
+ :: -> isotropic ES 0.012212916399 Eh ::
+ :: -> anisotropic ES 0.004311068440 Eh ::
+ :: -> anisotropic XC 0.010072177729 Eh ::
+ :: -> dispersion -0.003443587089 Eh ::
+ :: repulsion energy 0.141558330550 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge 0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6265775 -17.0500
+ 2 2.0000 -0.5920275 -16.1099
+ 3 2.0000 -0.5610626 -15.2673
+ 4 2.0000 -0.5194537 -14.1351
+ 5 2.0000 -0.5163789 -14.0514
+ 6 2.0000 -0.4884890 -13.2925
+ 7 2.0000 -0.4537369 -12.3468
+ 8 2.0000 -0.4523900 -12.3102
+ 9 2.0000 -0.4388175 -11.9408
+ 10 2.0000 -0.3630745 -9.8798 (HOMO)
+ 11 0.0494719 1.3462 (LUMO)
+ 12 0.1260207 3.4292
+ 13 0.1321555 3.5961
+ 14 0.1464083 3.9840
+ 15 0.1742217 4.7408
+ 16 0.1783232 4.8524
+ 17 0.2369989 6.4491
+ 18 0.2534620 6.8971
+ 19 0.2783726 7.5749
+ -------------------------------------------------------------
+ HL-Gap 0.4125464 Eh 11.2260 eV
+ Fermi-level -0.1568013 Eh -4.2668 eV
+
+ # Z covCN q C6AA α(0)
+ 1 7 n 2.629 -0.343 28.846 7.977
+ 2 6 c 3.730 0.030 20.157 6.409
+ 3 6 c 3.750 -0.106 22.587 6.778
+ 4 1 h 0.860 0.136 1.503 1.920
+ 5 1 h 0.860 0.131 1.535 1.941
+ 6 1 h 0.924 0.003 3.014 2.715
+ 7 1 h 0.924 0.032 2.557 2.501
+ 8 1 h 0.924 0.036 2.508 2.477
+ 9 1 h 0.924 0.034 2.529 2.487
+ 10 1 h 0.924 0.048 2.349 2.397
+
+ Mol. C6AA /au·bohr⁶ : 628.954400
+ Mol. C8AA /au·bohr⁸ : 12386.610898
+ Mol. α(0) /au : 37.600519
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 7 n 2.993 -- 2 c 1.020 5 h 0.970 4 h 0.968
+ 2 6 c 3.988 -- 1 n 1.020 3 c 1.019 7 h 0.976
+ 6 h 0.973
+ 3 6 c 3.996 -- 2 c 1.019 8 h 0.987 10 h 0.987
+ 9 h 0.986
+ 4 1 h 0.982 -- 1 n 0.968
+ 5 1 h 0.983 -- 1 n 0.970
+ 6 1 h 1.000 -- 2 c 0.973
+ 7 1 h 0.999 -- 2 c 0.976
+ 8 1 h 0.999 -- 3 c 0.987
+ 9 1 h 0.999 -- 3 c 0.986
+ 10 1 h 0.998 -- 3 c 0.987
+ ---------------------------------------------------------------------------
+
+Topologies differ in total number of bonds
+Writing topology from bond orders to xtbtopo.mol
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: 0.003 -0.023 0.184
+ full: 0.166 -0.066 0.538 1.440
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: 1.022 -0.244 0.347 0.365 -0.168 -1.368
+ q+dip: 1.494 -0.410 0.893 1.651 -0.993 -2.387
+ full: 1.871 -0.443 0.872 1.346 -0.769 -2.743
+
+
+ -------------------------------------------------
+ | TOTAL ENERGY -10.752192838993 Eh |
+ | GRADIENT NORM 0.017368634110 Eh/α |
+ | HOMO-LUMO GAP 11.225958754700 eV |
+ -------------------------------------------------
+
+------------------------------------------------------------------------
+ * finished run on 2022/07/25 at 04:54:15.712
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 0.532 sec
+ * cpu-time: 0 d, 0 h, 0 min, 12.160 sec
+ * ratio c/w: 22.878 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 0.434 sec
+ * cpu-time: 0 d, 0 h, 0 min, 9.928 sec
+ * ratio c/w: 22.856 speedup
+
diff --git a/arkane/data/xTB/TS_NH2+N2H3_xtb.out b/arkane/data/xTB/TS_NH2+N2H3_xtb.out
new file mode 100644
index 00000000000..7985d0efe4c
--- /dev/null
+++ b/arkane/data/xTB/TS_NH2+N2H3_xtb.out
@@ -0,0 +1,429 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN1-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for ALPB and GBSA implicit solvation:
+ * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput.,
+ 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ for SPH calculations refer to:
+ * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714
+ DOI: 10.1021/acs.jctc.0c01306
+
+ with help from (in alphabetical order)
+ P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher
+ M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer
+ A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller,
+ F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar,
+ J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk,
+ J. Stückrath, T. Rose, and J. Unsleber
+
+ * started run on 2022/07/25 at 05:40:34.195
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : xtb input.in --hess
+ coordinate file : input.in
+ omp threads : 24
+
+ ID Z sym. atoms
+ 1 7 n 1, 4, 7
+ 2 1 h 2, 3, 5, 6, 8
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+q/qsh data taken from xtbrestart
+CAMM data taken from xtbrestart
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 17 :
+ : # atomic orbitals 17 :
+ : # shells 11 :
+ : # electrons 20 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? true :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.8541976 -0.108542E+02 0.478E+00 0.77 0.0 T
+ 2 -10.8519591 0.223848E-02 0.832E+00 1.15 1.0 T
+ 3 -10.9247349 -0.727758E-01 0.679E+00 0.44 1.0 T
+ 4 -11.1151403 -0.190405E+00 0.402E+00 1.05 1.0 T
+ 5 -11.0968475 0.182927E-01 0.354E+00 0.99 1.0 T
+ 6 -11.1356853 -0.388377E-01 0.356E+00 0.42 1.0 T
+ 7 -11.1361959 -0.510646E-03 0.338E+00 0.39 1.0 T
+ 8 -11.0815338 0.546621E-01 0.325E+00 0.04 1.0 T
+ 9 -10.9657623 0.115771E+00 0.598E+00 0.25 1.0 T
+ 10 -10.9813757 -0.156135E-01 0.562E+00 0.16 1.0 T
+ 11 -11.0850405 -0.103665E+00 0.296E+00 0.58 1.0 T
+ 12 -11.1090041 -0.239636E-01 0.287E+00 0.55 1.0 T
+ 13 -11.1231508 -0.141467E-01 0.269E+00 0.39 1.0 T
+ 14 -11.1434646 -0.203138E-01 0.177E+00 0.13 1.0 T
+ 15 -11.1474659 -0.400126E-02 0.133E+00 0.10 1.0 T
+ 16 -11.1468049 0.660925E-03 0.122E+00 0.10 1.0 T
+ 17 -11.0997765 0.470284E-01 0.318E+00 0.03 1.0 T
+ 18 -11.1245114 -0.247349E-01 0.230E+00 0.22 1.0 T
+ 19 -11.1499837 -0.254723E-01 0.689E-01 0.03 1.0 T
+ 20 -11.1447688 0.521491E-02 0.126E+00 0.10 1.0 T
+ 21 -11.1437502 0.101859E-02 0.130E+00 0.01 1.0 T
+ 22 -11.1458133 -0.206309E-02 0.115E+00 0.10 1.0 T
+ 23 -11.1495056 -0.369235E-02 0.793E-01 0.03 1.0 T
+ 24 -11.1509990 -0.149338E-02 0.600E-01 0.07 1.0 T
+ 25 -11.1522716 -0.127261E-02 0.344E-01 0.04 1.0 T
+ 26 -11.1526765 -0.404833E-03 0.212E-01 0.06 1.0 T
+ 27 -11.1528564 -0.179882E-03 0.105E-01 0.05 1.0 T
+ 28 -11.1529043 -0.479848E-04 0.470E-02 0.05 1.0 T
+ 29 -11.1529137 -0.933667E-05 0.222E-02 0.05 1.6 T
+ 30 -11.1529162 -0.252341E-05 0.408E-03 0.05 8.7 T
+ 31 -11.1529162 -0.506488E-07 0.306E-03 0.05 11.5 T
+ 32 -11.1529163 -0.301140E-07 0.182E-03 0.05 19.5 T
+ 33 -11.1529163 -0.156650E-07 0.215E-04 0.05 164.4 T
+ 34 -11.1529163 0.216634E-09 0.347E-04 0.05 101.8 T
+
+ *** convergence criteria satisfied after 34 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6878200 -18.7165
+ ... ... ... ...
+ 4 2.0000 -0.5614664 -15.2783
+ 5 2.0000 -0.5454139 -14.8415
+ 6 2.0000 -0.5183795 -14.1058
+ 7 2.0000 -0.4603694 -12.5273
+ 8 2.0000 -0.4090447 -11.1307
+ 9 2.0000 -0.3904638 -10.6251
+ 10 1.4572 -0.3423259 -9.3152 (HOMO)
+ 11 0.5428 -0.3404496 -9.2641 (LUMO)
+ 12 -0.0197704 -0.5380
+ 13 0.0427379 1.1630
+ 14 0.1212398 3.2991
+ 15 0.1278854 3.4799
+ ... ... ...
+ 17 0.2388268 6.4988
+ -------------------------------------------------------------
+ HL-Gap 0.0018763 Eh 0.0511 eV
+ Fermi-level -0.3413878 Eh -9.2896 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 1.199 sec
+ SCC setup ... 0 min, 0.009 sec ( 0.751%)
+ Dispersion ... 0 min, 0.021 sec ( 1.752%)
+ classical contributions ... 0 min, 0.010 sec ( 0.830%)
+ integral evaluation ... 0 min, 0.020 sec ( 1.669%)
+ iterations ... 0 min, 1.050 sec ( 87.616%)
+ molecular gradient ... 0 min, 0.088 sec ( 7.371%)
+ printout ... 0 min, 0.000 sec ( 0.008%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -11.067932211213 Eh ::
+ :: gradient norm 0.044042780703 Eh/a0 ::
+ :: HOMO-LUMO gap 0.051055839133 eV ::
+ ::.................................................::
+ :: SCC energy -11.152916291942 Eh ::
+ :: -> isotropic ES 0.029139599864 Eh ::
+ :: -> anisotropic ES 0.002736060526 Eh ::
+ :: -> anisotropic XC 0.017808727226 Eh ::
+ :: -> dispersion -0.002230701284 Eh ::
+ :: repulsion energy 0.084983559547 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge 0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Numerical Hessian |
+ -------------------------------------------------
+step length : 0.00500
+SCC accuracy : 0.30000
+Hessian scale factor : 1.00000
+frozen atoms in % : 0.00000 0
+RMS gradient : 0.04405 !! INCOMPLETELY OPTIMIZED GEOMETRY !!
+estimated CPU time 0.02 min
+estimated wall time 0.00 min
+
+writing file .
+
+ projected vibrational frequencies (cm⁻¹)
+eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00
+eigval : -781.89 139.33 236.79 327.73 471.51 690.72
+eigval : 827.09 915.23 1056.62 1185.04 1315.85 1347.33
+eigval : 1424.36 1497.04 3181.14 3367.54 3433.32 3467.59
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6878196 -18.7165
+ 2 2.0000 -0.6237956 -16.9743
+ 3 2.0000 -0.5877989 -15.9948
+ 4 2.0000 -0.5614663 -15.2783
+ 5 2.0000 -0.5454136 -14.8415
+ 6 2.0000 -0.5183796 -14.1058
+ 7 2.0000 -0.4603691 -12.5273
+ 8 2.0000 -0.4090446 -11.1307
+ 9 2.0000 -0.3904640 -10.6251
+ 10 1.4574 -0.3423267 -9.3152 (HOMO)
+ 11 0.5426 -0.3404496 -9.2641 (LUMO)
+ 12 -0.0197701 -0.5380
+ 13 0.0427381 1.1630
+ 14 0.1212399 3.2991
+ 15 0.1278853 3.4799
+ 16 0.1978072 5.3826
+ 17 0.2388270 6.4988
+ -------------------------------------------------------------
+ HL-Gap 0.0018771 Eh 0.0511 eV
+ Fermi-level -0.3413882 Eh -9.2896 eV
+
+ # Z covCN q C6AA α(0)
+ 1 7 n 2.651 -0.217 25.747 7.536
+ 2 1 h 0.860 0.162 1.321 1.801
+ 3 1 h 1.296 0.231 0.947 1.519
+ 4 7 n 2.699 -0.194 25.208 7.457
+ 5 1 h 0.860 0.162 1.319 1.799
+ 6 1 h 0.860 0.181 1.207 1.721
+ 7 7 n 1.343 -0.433 29.864 7.794
+ 8 1 h 0.859 0.108 1.730 2.060
+
+ Mol. C6AA /au·bohr⁶ : 449.984263
+ Mol. C8AA /au·bohr⁸ : 8598.507649
+ Mol. α(0) /au : 31.686407
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 7 n 2.845 -- 4 n 1.128 2 h 0.962 3 h 0.570
+ 7 n 0.178
+ 2 1 h 0.973 -- 1 n 0.962
+ 3 1 h 0.946 -- 1 n 0.570 7 n 0.364
+ 4 7 n 3.163 -- 1 n 1.128 5 h 0.958 6 h 0.945
+ 7 n 0.128
+ 5 1 h 0.971 -- 4 n 0.958
+ 6 1 h 0.961 -- 4 n 0.945
+ 7 7 n 1.664 -- 8 h 0.988 3 h 0.364 1 n 0.178
+ 4 n 0.128
+ 8 1 h 0.988 -- 7 n 0.988
+ ---------------------------------------------------------------------------
+
+Topologies differ in total number of bonds
+Writing topology from bond orders to xtbtopo.mol
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: -1.588 0.009 0.342
+ full: -1.927 -0.171 0.894 5.417
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: -2.416 1.215 0.857 0.584 0.526 1.560
+Molecule has no symmetry elements
+It seems to be the C1 point group
+ q+dip: -1.976 -0.198 -0.541 1.330 1.113 2.518
+ full: -1.727 -0.022 -0.415 1.348 1.270 2.141
+
+ -------------------------------------------------
+ | Frequency Printout |
+ -------------------------------------------------
+ projected vibrational frequencies (cm⁻¹)
+eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00
+eigval : -781.89 139.33 236.79 327.73 471.51 690.72
+eigval : 827.09 915.23 1056.62 1185.04 1315.85 1347.33
+eigval : 1424.36 1497.04 3181.14 3367.54 3433.32 3467.59
+ reduced masses (amu)
+ 1: 12.12 2: 11.73 3: 12.46 4: 12.33 5: 12.01 6: 10.98 7: 4.41 8: 1.76
+ 9: 9.60 10: 4.15 11: 6.89 12: 4.75 13: 4.81 14: 3.48 15: 2.74 16: 10.71
+ 17: 3.60 18: 1.96 19: 1.62 20: 1.77 21: 1.86 22: 1.83 23: 1.46 24: 2.15
+ IR intensities (km·mol⁻¹)
+ 1: 2.82 2: 10.07 3: 0.26 4: 1.70 5: 12.02 6: 12.77 7:168.96 8: 45.26
+ 9: 0.96 10: 51.09 11: 49.16 12:118.12 13:115.92 14: 82.29 15: 38.59 16: 69.80
+ 17: 25.25 18: 94.03 19: 46.21 20: 9.84 21: 53.59 22: 4.79 23: 10.08 24: 1.41
+ Raman intensities (amu)
+ 1: 0.00 2: 0.00 3: 0.00 4: 0.00 5: 0.00 6: 0.00 7: 0.00 8: 0.00
+ 9: 0.00 10: 0.00 11: 0.00 12: 0.00 13: 0.00 14: 0.00 15: 0.00 16: 0.00
+ 17: 0.00 18: 0.00 19: 0.00 20: 0.00 21: 0.00 22: 0.00 23: 0.00 24: 0.00
+ output can be read by thermo (or use thermo option).
+ writing molden fake output.
+ recommended (thermochemical) frequency scaling factor: 1.0
+ -------------------------------------------------
+ | Thermodynamic Functions |
+ -------------------------------------------------
+
+c1 symmetry found (for desy threshold: 0.10E+00) used in thermo
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # frequencies 17 :
+ : # imaginary freq. 1 :
+ : linear? false :
+ : only rotor calc. false :
+ : symmetry c1 :
+ : rotational number 1 :
+ : scaling factor 1.0000000 :
+ : rotor cutoff 50.0000000 cm⁻¹ :
+ : imag. cutoff -20.0000000 cm⁻¹ :
+ :.................................................:
+
+ mode ω/cm⁻¹ T·S(HO)/kcal·mol⁻¹ T·S(FR)/kcal·mol⁻¹ T·S(vib)
+ ------------------------------------------------------------------------
+ 1 139.33 -0.83870 ( 98.37%) -0.75242 ( 1.63%) -0.83729
+ 2 236.79 -0.54469 ( 99.80%) -0.59554 ( 0.20%) -0.54479
+ ------------------------------------------------------------------------
+
+ temp. (K) partition function enthalpy heat capacity entropy
+ cal/mol cal/K/mol cal/K/mol J/K/mol
+ 298.15 VIB 4.57 1328.586 9.523 7.470
+ ROT 0.278E+05 888.752 2.981 23.316
+ INT 0.127E+06 2217.338 12.504 30.786
+ TR 0.312E+27 1481.254 4.968 37.454
+ TOT 3698.5919 17.4721 68.2401 285.5166
+
+ T/K H(0)-H(T)+PV H(T)/Eh T*S/Eh G(T)/Eh
+ ------------------------------------------------------------------------
+ 298.15 0.589408E-02 0.625845E-01 0.324231E-01 0.301614E-01
+ ------------------------------------------------------------------------
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: THERMODYNAMIC ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total free energy -11.037770792106 Eh ::
+ ::.................................................::
+ :: total energy -11.067932210697 Eh ::
+ :: zero point energy 0.056690417480 Eh ::
+ :: G(RRHO) w/o ZPVE -0.026528998888 Eh ::
+ :: G(RRHO) contrib. 0.030161418591 Eh ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+imag cut-off (cm-1) : 5.00
+ found 1 significant imaginary frequency
+ writing imag mode distorted coords to xtbhess.coord
+ for further optimization.
+
+ -------------------------------------------------
+ | TOTAL ENERGY -11.067932210697 Eh |
+ | TOTAL ENTHALPY -11.005347711824 Eh |
+ | TOTAL FREE ENERGY -11.037770792106 Eh |
+ | GRADIENT NORM 0.044051109476 Eh/α |
+ | HOMO-LUMO GAP 0.051079223054 eV |
+ -------------------------------------------------
+########################################################################
+[WARNING] Runtime exception occurred
+-1- hessian_numhess: Hessian on incompletely optimized geometry!
+########################################################################
+
+------------------------------------------------------------------------
+ * finished run on 2022/07/25 at 05:40:35.738
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 1.542 sec
+ * cpu-time: 0 d, 0 h, 0 min, 35.521 sec
+ * ratio c/w: 23.030 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 1.199 sec
+ * cpu-time: 0 d, 0 h, 0 min, 27.666 sec
+ * ratio c/w: 23.074 speedup
+ analytical hessian:
+ * wall-time: 0 d, 0 h, 0 min, 0.252 sec
+ * cpu-time: 0 d, 0 h, 0 min, 5.763 sec
+ * ratio c/w: 22.840 speedup
+
diff --git a/arkane/data/xTB/freq.out b/arkane/data/xTB/freq.out
new file mode 100644
index 00000000000..f7d46b23c43
--- /dev/null
+++ b/arkane/data/xTB/freq.out
@@ -0,0 +1,395 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.3.3 (71d3805) compiled by 'conda@b85dec0bf610' on 2021-01-07
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN1-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ with help from (in alphabetical order)
+ C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski,
+ S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek,
+ P. Pracht, P. Shushkov, and S. Spicher.
+
+ * started run on 2026/04/05 at 21:13:14.497
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : /home/alon/anaconda3/envs/xtb_env/bin/xtb mol.sdf --hess --gfn2 --parallel --uhf 1 --chrg 0
+ coordinate file : mol.sdf
+ omp threads : 28
+ number of atoms : 10
+ number of electrons : 19
+ charge : 0
+ spin : 0.5
+ first test random number : 0.65715491998447
+
+ ID Z sym. atoms
+ 1 6 C 1-3
+ 2 1 H 4-10
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 19 :
+ : # atomic orbitals 19 :
+ : # shells 13 :
+ : # electrons 19 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.0416711 -0.100417E+02 0.261E+00 10.94 0.0 T
+ 2 -10.0633074 -0.216363E-01 0.128E+00 11.04 1.0 T
+ 3 -10.0636420 -0.334646E-03 0.626E-01 11.05 1.0 T
+ 4 -10.0637056 -0.635153E-04 0.802E-02 11.02 1.0 T
+ 5 -10.0637056 -0.179674E-07 0.178E-02 11.02 1.8 T
+ 6 -10.0637060 -0.424862E-06 0.287E-03 11.02 11.0 T
+ 7 -10.0637060 -0.813378E-08 0.880E-04 11.02 36.0 T
+ 8 -10.0637060 -0.139483E-08 0.213E-04 11.02 148.8 T
+
+ *** convergence criteria satisfied after 8 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6061683 -16.4947
+ ... ... ... ...
+ 4 2.0000 -0.4986683 -13.5695
+ 5 2.0000 -0.4853163 -13.2061
+ 6 2.0000 -0.4739663 -12.8973
+ 7 2.0000 -0.4615788 -12.5602
+ 8 2.0000 -0.4406775 -11.9914
+ 9 2.0000 -0.4305099 -11.7148
+ 10 1.0000 -0.2854557 -7.7676 (HOMO)
+ 11 0.1195484 3.2531 (LUMO)
+ 12 0.1500368 4.0827
+ 13 0.1796854 4.8895
+ 14 0.1856294 5.0512
+ 15 0.1978893 5.3848
+ ... ... ...
+ 19 0.3654091 9.9433
+ -------------------------------------------------------------
+ HL-Gap 0.4050041 Eh 11.0207 eV
+ Fermi-level -0.2204682 Eh -5.9992 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.001 sec
+ SCC setup ... 0 min, 0.000 sec ( 4.544%)
+ Dispersion ... 0 min, 0.000 sec ( 3.231%)
+ classical contributions ... 0 min, 0.000 sec ( 1.655%)
+ integral evaluation ... 0 min, 0.000 sec ( 17.352%)
+ iterations ... 0 min, 0.001 sec ( 41.202%)
+ molecular gradient ... 0 min, 0.000 sec ( 27.611%)
+ printout ... 0 min, 0.000 sec ( 3.837%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -9.907945789900 Eh ::
+ :: gradient norm 0.000167508372 Eh/a0 ::
+ :: HOMO-LUMO gap 11.020722679226 eV ::
+ ::.................................................::
+ :: SCC energy -10.063706015090 Eh ::
+ :: -> isotropic ES 0.002969205741 Eh ::
+ :: -> anisotropic ES 0.003814162232 Eh ::
+ :: -> anisotropic XC 0.007249074358 Eh ::
+ :: -> dispersion -0.003488521930 Eh ::
+ :: repulsion energy 0.155759193674 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge 0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Numerical Hessian |
+ -------------------------------------------------
+step length : 0.00500
+SCC accuracy : 0.30000
+Hessian scale factor : 1.00000
+frozen atoms in % : 0.00000 0
+RMS gradient : 0.00017
+estimated CPU time 0.00 min
+estimated wall time 0.00 min
+
+writing file .
+
+ projected vibrational frequencies (cm-1)
+eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00
+eigval : 63.60 78.48 387.35 421.10 940.62 946.86
+eigval : 956.71 1028.72 1167.73 1180.95 1343.10 1393.57
+eigval : 1405.68 1465.51 1475.29 1481.36 1484.29 2854.51
+eigval : 2860.02 2993.19 2993.57 3004.99 3009.56 3104.88
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6061685 -16.4947
+ 2 2.0000 -0.5856626 -15.9367
+ 3 2.0000 -0.5406394 -14.7115
+ 4 2.0000 -0.4986683 -13.5695
+ 5 2.0000 -0.4853160 -13.2061
+ 6 2.0000 -0.4739665 -12.8973
+ 7 2.0000 -0.4615787 -12.5602
+ 8 2.0000 -0.4406776 -11.9914
+ 9 2.0000 -0.4305100 -11.7148
+ 10 1.0000 -0.2854551 -7.7676 (HOMO)
+ 11 0.1195485 3.2531 (LUMO)
+ 12 0.1500364 4.0827
+ 13 0.1796854 4.8895
+ 14 0.1856298 5.0512
+ 15 0.1978891 5.3848
+ 16 0.2104543 5.7268
+ 17 0.2219295 6.0390
+ 18 0.3220796 8.7642
+ 19 0.3654094 9.9433
+ -------------------------------------------------------------
+ HL-Gap 0.4050036 Eh 11.0207 eV
+ Fermi-level -0.2204679 Eh -5.9992 eV
+
+ # Z covCN q C6AA α(0)
+ 1 6 C 3.752 -0.096 22.389 6.748
+ 2 6 C 3.751 -0.096 22.389 6.748
+ 3 6 C 2.882 -0.072 29.797 8.949
+ 4 1 H 0.923 0.044 2.396 2.421
+ 5 1 H 0.924 0.039 2.463 2.454
+ 6 1 H 0.925 0.039 2.457 2.451
+ 7 1 H 0.925 0.039 2.458 2.452
+ 8 1 H 0.924 0.039 2.462 2.454
+ 9 1 H 0.923 0.044 2.396 2.421
+ 10 1 H 0.926 0.019 2.751 2.594
+
+ Mol. C6AA /au·bohr⁶ : 671.387425
+ Mol. C8AA /au·bohr⁸ : 14020.731634
+ Mol. α(0) /au : 39.690034
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 6 C 3.988 -- 3 C 1.079 6 H 0.978 5 H 0.973
+ 4 H 0.940
+ 2 6 C 3.988 -- 3 C 1.079 7 H 0.978 8 H 0.973
+ 9 H 0.940
+ 3 6 C 3.142 -- 2 C 1.079 1 C 1.079 10 H 0.976
+ 4 1 H 0.946 -- 1 C 0.940
+ 5 1 H 0.984 -- 1 C 0.973
+ 6 1 H 0.991 -- 1 C 0.978
+ 7 1 H 0.991 -- 2 C 0.978
+ 8 1 H 0.984 -- 2 C 0.973
+ 9 1 H 0.946 -- 2 C 0.940
+ 10 1 H 0.999 -- 3 C 0.976
+ ---------------------------------------------------------------------------
+
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: -0.095 -0.086 0.006
+ full: -0.141 -0.089 0.052 0.444
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: 0.060 -0.134 0.180 0.234 -0.555 -0.240
+ q+dip: 0.015 0.235 0.399 0.377 -0.497 -0.414
+ full: 0.025 0.052 0.231 0.225 -0.555 -0.256
+
+ -------------------------------------------------
+ | Frequency Printout |
+ -------------------------------------------------
+ projected vibrational frequencies (cm-1)
+eigval : -0.00 -0.00 -0.00 0.00 0.00 0.00
+eigval : 63.60 78.48 387.35 421.10 940.62 946.86
+eigval : 956.71 1028.72 1167.73 1180.95 1343.10 1393.57
+eigval : 1405.68 1465.51 1475.29 1481.36 1484.29 2854.51
+eigval : 2860.02 2993.19 2993.57 3004.99 3009.56 3104.88
+ reduced masses (amu)
+ 1: 9.19 2: 8.92 3: 9.23 4: 9.15 5: 9.42 6: 5.79 7: 1.20 8: 3.43
+ 9: 6.62 10: 4.08 11: 8.02 12: 2.52 13: 2.96 14: 4.29 15: 6.86 16: 5.59
+ 17: 6.97 18: 3.32 19: 2.84 20: 1.82 21: 1.73 22: 1.85 23: 1.48 24: 1.74
+ 25: 1.75 26: 1.57 27: 1.56 28: 1.77 29: 1.76 30: 1.82
+ IR intensities (amu)
+ 1: 0.07 2: 0.09 3: 0.08 4: 0.09 5: 0.11 6: 0.14 7: 0.00 8: 0.15
+ 9: 0.13 10: 0.22 11: 0.08 12: 0.03 13: 0.04 14: 0.07 15: 0.20 16: 0.31
+ 17: 0.50 18: 0.22 19: 0.06 20: 0.05 21: 0.05 22: 0.06 23: 0.04 24: 0.12
+ 25: 0.28 26: 0.19 27: 0.18 28: 0.03 29: 0.27 30: 0.32
+ Raman intensities (amu)
+ 1: 0.00 2: 0.00 3: 0.00 4: 0.00 5: 0.00 6: 0.00 7: 0.00 8: 0.00
+ 9: 0.00 10: 0.00 11: 0.00 12: 0.00 13: 0.00 14: 0.00 15: 0.00 16: 0.00
+ 17: 0.00 18: 0.00 19: 0.00 20: 0.00 21: 0.00 22: 0.00 23: 0.00 24: 0.00
+ 25: 0.00 26: 0.00 27: 0.00 28: 0.00 29: 0.00 30: 0.00
+Molecule has the following symmetry elements: (sigma)
+It seems to be the Cs point group
+ output can be read by thermo (or use thermo option).
+ writing molden fake output.
+ recommended (thermochemical) frequency scaling factor: 1.0
+ -------------------------------------------------
+ | Thermodynamic Functions |
+ -------------------------------------------------
+
+cs symmetry found (for desy threshold: 0.10E+00) used in thermo
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # frequencies 24 :
+ : # imaginary freq. 0 :
+ : linear? false :
+ : only rotor calc. false :
+ : symmetry cs :
+ : rotational number 1 :
+ : scaling factor 1.0000000 :
+ : rotor cutoff 50.0000000 cm⁻¹ :
+ : imag. cutoff -20.0000000 cm⁻¹ :
+ :.................................................:
+
+ mode ω/cm⁻¹ T·S(HO)/kcal·mol⁻¹ T·S(FR)/kcal·mol⁻¹ T·S(vib)
+ ------------------------------------------------------------------------
+ 1 63.60 -1.29469 ( 72.35%) -0.98363 ( 27.65%) -1.20869
+ 2 78.48 -1.17128 ( 85.86%) -0.92163 ( 14.14%) -1.13597
+ ------------------------------------------------------------------------
+
+ temp. (K) partition function enthalpy heat capacity entropy
+ cal/mol cal/K/mol cal/K/mol J/K/mol
+ 298.15 VIB 17.2 1534.753 9.629 10.395
+ ROT 0.176E+05 888.752 2.981 22.409
+ INT 0.303E+06 2423.506 12.610 32.805
+ TR 0.274E+27 1481.254 4.968 37.192
+ TOT 3904.7597 17.5778 69.9961 292.8635
+
+ T/K H(0)-H(T)+PV H(T)/Eh T*S/Eh G(T)/Eh
+ ------------------------------------------------------------------------
+ 298.15 0.622263E-02 0.928878E-01 0.332574E-01 0.596304E-01
+ ------------------------------------------------------------------------
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: THERMODYNAMIC ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total free energy -9.848315378832 Eh ::
+ ::.................................................::
+ :: total energy -9.907945789911 Eh ::
+ :: zero point energy 0.086665171024 Eh ::
+ :: G(RRHO) w/o ZPVE -0.027034759946 Eh ::
+ :: G(RRHO) contrib. 0.059630411079 Eh ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | TOTAL ENERGY -9.907945789911 Eh |
+ | TOTAL ENTHALPY -9.815057988157 Eh |
+ | TOTAL FREE ENERGY -9.848315378832 Eh |
+ | GRADIENT NORM 0.000167778724 Eh/α |
+ | HOMO-LUMO GAP 11.020709553837 eV |
+ -------------------------------------------------
+
+------------------------------------------------------------------------
+ * finished run on 2026/04/05 at 21:13:14.519
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 0.022 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.125 sec
+ * ratio c/w: 5.689 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 0.001 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.005 sec
+ * ratio c/w: 3.550 speedup
+ numerical hessian:
+ * wall-time: 0 d, 0 h, 0 min, 0.015 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.107 sec
+ * ratio c/w: 7.094 speedup
+
diff --git a/arkane/data/xTB/output.out b/arkane/data/xTB/output.out
new file mode 100644
index 00000000000..c2555503ff0
--- /dev/null
+++ b/arkane/data/xTB/output.out
@@ -0,0 +1,525 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.3.3 (71d3805) compiled by 'conda@b85dec0bf610' on 2021-01-07
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN1-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ with help from (in alphabetical order)
+ C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski,
+ S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek,
+ P. Pracht, P. Shushkov, and S. Spicher.
+
+ * started run on 2026/04/05 at 21:13:11.373
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : /home/alon/anaconda3/envs/xtb_env/bin/xtb mol.sdf --opt tight --gfn2 --parallel --uhf 1 --chrg 0
+ coordinate file : mol.sdf
+ omp threads : 28
+ number of atoms : 10
+ number of electrons : 19
+ charge : 0
+ spin : 0.5
+ first test random number : 0.49640547205832
+
+ ID Z sym. atoms
+ 1 6 C 1-3
+ 2 1 H 4-10
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 19 :
+ : # atomic orbitals 19 :
+ : # shells 13 :
+ : # electrons 19 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.0416711 -0.100417E+02 0.261E+00 10.94 0.0 T
+ 2 -10.0633074 -0.216363E-01 0.128E+00 11.04 1.0 T
+ 3 -10.0636420 -0.334646E-03 0.626E-01 11.05 1.0 T
+ 4 -10.0637056 -0.635153E-04 0.802E-02 11.02 1.0 T
+ 5 -10.0637056 -0.179674E-07 0.178E-02 11.02 1.8 T
+ 6 -10.0637060 -0.424862E-06 0.287E-03 11.02 11.0 T
+ 7 -10.0637060 -0.813378E-08 0.880E-04 11.02 36.0 T
+ 8 -10.0637060 -0.139483E-08 0.213E-04 11.02 148.8 T
+
+ *** convergence criteria satisfied after 8 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6061683 -16.4947
+ ... ... ... ...
+ 4 2.0000 -0.4986683 -13.5695
+ 5 2.0000 -0.4853163 -13.2061
+ 6 2.0000 -0.4739663 -12.8973
+ 7 2.0000 -0.4615788 -12.5602
+ 8 2.0000 -0.4406775 -11.9914
+ 9 2.0000 -0.4305099 -11.7148
+ 10 1.0000 -0.2854557 -7.7676 (HOMO)
+ 11 0.1195484 3.2531 (LUMO)
+ 12 0.1500368 4.0827
+ 13 0.1796854 4.8895
+ 14 0.1856294 5.0512
+ 15 0.1978893 5.3848
+ ... ... ...
+ 19 0.3654091 9.9433
+ -------------------------------------------------------------
+ HL-Gap 0.4050041 Eh 11.0207 eV
+ Fermi-level -0.2204682 Eh -5.9992 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.001 sec
+ SCC setup ... 0 min, 0.000 sec ( 3.932%)
+ Dispersion ... 0 min, 0.000 sec ( 3.355%)
+ classical contributions ... 0 min, 0.000 sec ( 1.553%)
+ integral evaluation ... 0 min, 0.000 sec ( 17.193%)
+ iterations ... 0 min, 0.001 sec ( 38.483%)
+ molecular gradient ... 0 min, 0.000 sec ( 32.733%)
+ printout ... 0 min, 0.000 sec ( 2.267%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -9.907945789900 Eh ::
+ :: gradient norm 0.000167508372 Eh/a0 ::
+ :: HOMO-LUMO gap 11.020722679226 eV ::
+ ::.................................................::
+ :: SCC energy -10.063706015090 Eh ::
+ :: -> isotropic ES 0.002969205741 Eh ::
+ :: -> anisotropic ES 0.003814162232 Eh ::
+ :: -> anisotropic XC 0.007249074358 Eh ::
+ :: -> dispersion -0.003488521930 Eh ::
+ :: repulsion energy 0.155759193674 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge 0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -----------------------------------------------------------
+ | ===================== |
+ | A N C O P T |
+ | ===================== |
+ | Approximate Normal Coordinate |
+ | Rational Function Optimizer |
+ -----------------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : optimization level tight :
+ : max. optcycles 200 :
+ : ANC micro-cycles 20 :
+ : degrees of freedom 24 :
+ :.................................................:
+ : RF solver davidson :
+ : write xtbopt.log true :
+ : linear? false :
+ : energy convergence 0.1000000E-05 Eh :
+ : grad. convergence 0.8000000E-03 Eh/α :
+ : maximium RF displ. 1.0000000 :
+ : Hlow (freq-cutoff) 0.1000000E-01 :
+ : Hmax (freq-cutoff) 5.0000000 :
+ : S6 in model hess. 20.0000000 :
+ ...................................................
+
+generating ANC from model Hessian ...
+Using Lindh-Hessian (1995)
+ Shifting diagonal of input Hessian by 2.3540512790611329E-003
+ Lowest eigenvalues of input Hessian
+ 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
+ 0.010000 0.012932 0.020193 0.036542 0.064021 0.064540
+ 0.067460 0.076667 0.112683 0.118968 0.123604 0.125717
+ Highest eigenvalues
+ 1.066348 1.078735 1.114279 1.122396 1.332034 1.453783
+
+
+........................................................................
+.............................. CYCLE 1 ..............................
+........................................................................
+ 1 -10.0637060 -0.100637E+02 0.257E-05 11.02 0.0 T
+ 2 -10.0637060 -0.211209E-11 0.119E-05 11.02 2658.6 T
+ 3 -10.0637060 -0.284217E-13 0.540E-06 11.02 5857.7 T
+ SCC iter. ... 0 min, 0.000 sec
+ gradient ... 0 min, 0.000 sec
+ * total energy : -9.9079458 Eh change -0.1044143E-10 Eh
+ gradient norm : 0.0001678 Eh/α predicted 0.0000000E+00 (-100.00%)
+ displ. norm : 0.0014254 α lambda -0.4426483E-07
+ maximum displ.: 0.0013651 α in ANC's #2, #16, #11, ...
+
+ *** GEOMETRY OPTIMIZATION CONVERGED AFTER 1 ITERATIONS ***
+
+------------------------------------------------------------------------
+ total energy gain : -0.0000000 Eh -0.0000 kcal/mol
+ total RMSD : 0.0000000 a0 0.0000 Å
+ total power (kW/mol): -0.0000000 (step) -0.0000 (real)
+------------------------------------------------------------------------
+
+ ANCopt (total) 0 d, 0 h, 0 min, 0.002 sec
+ optimizer setup ... 0 min, 0.000 sec ( 1.192%)
+ model hessian ... 0 min, 0.000 sec ( 24.216%)
+ ANC generation ... 0 min, 0.000 sec ( 3.716%)
+ coordinate transformation ... 0 min, 0.000 sec ( 0.080%)
+ single point calculation ... 0 min, 0.001 sec ( 63.861%)
+ optimization log ... 0 min, 0.000 sec ( 1.172%)
+ hessian update ... 0 min, 0.000 sec ( 0.030%)
+ rational function ... 0 min, 0.000 sec ( 2.525%)
+
+================
+ final structure:
+================
+
+ xtb 04052621133D
+xtb: 6.3.3 (71d3805)
+ 10 9 0 0 0 999 V2000
+ -1.2948 0.0509 -0.1043 C 0 0 0 0 0 0 0 0 0 0 0 0
+ 0.2116 -1.5150 1.2916 C 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.0825 -0.1905 0.7057 C 0 0 0 0 0 3 0 0 0 0 0 0
+ -2.1457 0.3557 0.5210 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -1.1316 0.8533 -0.8243 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -1.5938 -0.8508 -0.6375 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.1856 -2.3148 0.6674 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 1.2852 -1.6592 1.4153 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.2390 -1.6264 2.2879 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 0.4901 0.6581 1.0398 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 1 3 1 0 0 0 0
+ 1 4 1 0 0 0 0
+ 1 5 1 0 0 0 0
+ 1 6 1 0 0 0 0
+ 2 3 1 0 0 0 0
+ 2 7 1 0 0 0 0
+ 2 8 1 0 0 0 0
+ 2 9 1 0 0 0 0
+ 3 10 1 0 0 0 0
+M END
+$$$$
+
+ Bond Distances (Angstroems)
+ ---------------------------
+C1-C3=1.4779 C1-H4=1.0991 C1-H5=1.0904 C1-H6=1.0894 C2-C3=1.4779 C2-H7=1.0895
+C2-H8=1.0903 C2-H9=1.0991 C3-C1=1.4779 C3-C2=1.4779 C3-H10=1.0769 H4-C1=1.0991
+H5-C1=1.0904 H6-C1=1.0894 H7-C2=1.0895 H8-C2=1.0903 H9-C2=1.0991 H10-C3=1.0769
+ C H Rav=1.0907 sigma=0.0069 Rmin=1.0769 Rmax=1.0991 7
+ C C Rav=1.4779 sigma=0.0000 Rmin=1.4779 Rmax=1.4779 2
+
+ selected bond angles (degree)
+ --------------------
+H4-C1-C3=111.63 H5-C1-C3=111.06 H5-C1-H4=106.71 H6-C1-C3=110.99
+H6-C1-H4=107.19 H6-C1-H5=109.09 H7-C2-C3=110.99 H8-C2-C3=111.07
+H8-C2-H7=109.08 H9-C2-C3=111.63 H9-C2-H7=107.18 H9-C2-H8=106.70
+C2-C3-C1=121.80 H10-C3-C1=118.52 H10-C3-C2=118.52
+
+ selected dihedral angles (degree)
+ ---------------------------------
+C2-C3-C1-H4= 88.76 C2-C3-C1-H5=207.71 C2-C3-C1-H6=329.24 H10-C3-C1-H4=281.25
+H10-C3-C1-H5= 40.20 H10-C3-C1-H6=161.74 C1-C3-C2-H7= 30.75 C1-C3-C2-H8=152.29
+C1-C3-C2-H9=271.24 H10-C3-C2-H7=198.26 H10-C3-C2-H8=319.79 H10-C3-C2-H9= 78.75
+ -------------------------------------------------
+ | Final Singlepoint |
+ -------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 19 :
+ : # atomic orbitals 19 :
+ : # shells 13 :
+ : # electrons 19 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.0637060 -0.100637E+02 0.969E-07 11.02 0.0 T
+ 2 -10.0637060 0.355271E-14 0.589E-07 11.02 53664.1 T
+ 3 -10.0637060 0.177636E-14 0.271E-07 11.02 100000.0 T
+
+ *** convergence criteria satisfied after 3 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6061685 -16.4947
+ ... ... ... ...
+ 4 2.0000 -0.4986683 -13.5695
+ 5 2.0000 -0.4853160 -13.2061
+ 6 2.0000 -0.4739665 -12.8973
+ 7 2.0000 -0.4615787 -12.5602
+ 8 2.0000 -0.4406775 -11.9914
+ 9 2.0000 -0.4305100 -11.7148
+ 10 1.0000 -0.2854551 -7.7676 (HOMO)
+ 11 0.1195485 3.2531 (LUMO)
+ 12 0.1500364 4.0827
+ 13 0.1796854 4.8895
+ 14 0.1856298 5.0512
+ 15 0.1978891 5.3848
+ ... ... ...
+ 19 0.3654094 9.9433
+ -------------------------------------------------------------
+ HL-Gap 0.4050036 Eh 11.0207 eV
+ Fermi-level -0.2204679 Eh -5.9992 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.001 sec
+ SCC setup ... 0 min, 0.000 sec ( 3.904%)
+ Dispersion ... 0 min, 0.000 sec ( 3.670%)
+ classical contributions ... 0 min, 0.000 sec ( 2.216%)
+ integral evaluation ... 0 min, 0.000 sec ( 20.357%)
+ iterations ... 0 min, 0.000 sec ( 22.730%)
+ molecular gradient ... 0 min, 0.000 sec ( 43.201%)
+ printout ... 0 min, 0.000 sec ( 3.306%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -9.907945789911 Eh ::
+ :: gradient norm 0.000167776370 Eh/a0 ::
+ :: HOMO-LUMO gap 11.020710061302 eV ::
+ ::.................................................::
+ :: SCC energy -10.063706015100 Eh ::
+ :: -> isotropic ES 0.002969138307 Eh ::
+ :: -> anisotropic ES 0.003814175600 Eh ::
+ :: -> anisotropic XC 0.007249059940 Eh ::
+ :: -> dispersion -0.003488523956 Eh ::
+ :: repulsion energy 0.155759193674 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6061685 -16.4947
+ 2 2.0000 -0.5856626 -15.9367
+ 3 2.0000 -0.5406394 -14.7115
+ 4 2.0000 -0.4986683 -13.5695
+ 5 2.0000 -0.4853160 -13.2061
+ 6 2.0000 -0.4739665 -12.8973
+ 7 2.0000 -0.4615787 -12.5602
+ 8 2.0000 -0.4406775 -11.9914
+ 9 2.0000 -0.4305100 -11.7148
+ 10 1.0000 -0.2854551 -7.7676 (HOMO)
+ 11 0.1195485 3.2531 (LUMO)
+ 12 0.1500364 4.0827
+ 13 0.1796854 4.8895
+ 14 0.1856298 5.0512
+ 15 0.1978891 5.3848
+ 16 0.2104543 5.7268
+ 17 0.2219295 6.0390
+ 18 0.3220796 8.7642
+ 19 0.3654094 9.9433
+ -------------------------------------------------------------
+ HL-Gap 0.4050036 Eh 11.0207 eV
+ Fermi-level -0.2204679 Eh -5.9992 eV
+
+ # Z covCN q C6AA α(0)
+ 1 6 C 3.752 -0.096 22.389 6.748
+ 2 6 C 3.751 -0.096 22.389 6.748
+ 3 6 C 2.882 -0.072 29.797 8.949
+ 4 1 H 0.923 0.044 2.396 2.421
+ 5 1 H 0.924 0.039 2.463 2.454
+ 6 1 H 0.925 0.039 2.457 2.451
+ 7 1 H 0.925 0.039 2.458 2.452
+ 8 1 H 0.924 0.039 2.462 2.454
+ 9 1 H 0.923 0.044 2.396 2.421
+ 10 1 H 0.926 0.019 2.751 2.594
+
+ Mol. C6AA /au·bohr⁶ : 671.387423
+ Mol. C8AA /au·bohr⁸ : 14020.731625
+ Mol. α(0) /au : 39.690034
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 6 C 3.988 -- 3 C 1.079 6 H 0.978 5 H 0.973
+ 4 H 0.940
+ 2 6 C 3.988 -- 3 C 1.079 7 H 0.978 8 H 0.973
+ 9 H 0.940
+ 3 6 C 3.142 -- 2 C 1.079 1 C 1.079 10 H 0.976
+ 4 1 H 0.946 -- 1 C 0.940
+ 5 1 H 0.984 -- 1 C 0.973
+ 6 1 H 0.991 -- 1 C 0.978
+ 7 1 H 0.991 -- 2 C 0.978
+ 8 1 H 0.984 -- 2 C 0.973
+ 9 1 H 0.946 -- 2 C 0.940
+ 10 1 H 0.999 -- 3 C 0.976
+ ---------------------------------------------------------------------------
+
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: -0.095 -0.086 0.006
+ full: -0.141 -0.089 0.052 0.444
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: 0.060 -0.134 0.180 0.234 -0.555 -0.240
+ q+dip: 0.015 0.235 0.399 0.377 -0.497 -0.414
+ full: 0.025 0.052 0.231 0.225 -0.555 -0.256
+
+ -------------------------------------------------
+ | Geometry Summary |
+ -------------------------------------------------
+
+ molecular mass/u : 43.0877930
+ center of mass at/Å : -0.4072910 -0.5684548 0.6322305
+ moments of inertia/u·Å² : 0.1317621E+02 0.6015876E+02 0.6707902E+02
+rotational constants/cm⁻¹ : 0.1279399E+01 0.2802191E+00 0.2513100E+00
+
+ * 9 selected distances
+
+ # Z # Z value/Å
+ 1 6 C 3 6 C 1.4778516
+ 2 6 C 3 6 C 1.4778612 (max)
+ 1 6 C 4 1 H 1.0990605
+ 1 6 C 5 1 H 1.0903577
+ 1 6 C 6 1 H 1.0893880
+ 2 6 C 7 1 H 1.0895290
+ 2 6 C 8 1 H 1.0902808
+ 2 6 C 9 1 H 1.0991197
+ 3 6 C 10 1 H 1.0768545 (min)
+
+ * 2 distinct bonds (by element types)
+
+ Z Z # av. dist./Å max./Å min./Å
+ 1 H 6 C 7 1.0906557 1.0991197 1.0768545
+ 6 C 6 C 2 1.4778564 1.4778612 1.4778516
+
+
+optimized geometry written to: xtbopt.sdf
+
+
+ -------------------------------------------------
+ | TOTAL ENERGY -9.907945789911 Eh |
+ | GRADIENT NORM 0.000167776370 Eh/α |
+ | HOMO-LUMO GAP 11.020710061302 eV |
+ -------------------------------------------------
+
+------------------------------------------------------------------------
+ * finished run on 2026/04/05 at 21:13:11.382
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 0.009 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.024 sec
+ * ratio c/w: 2.601 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 0.001 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.005 sec
+ * ratio c/w: 3.559 speedup
+ ANC optimizer:
+ * wall-time: 0 d, 0 h, 0 min, 0.003 sec
+ * cpu-time: 0 d, 0 h, 0 min, 0.009 sec
+ * ratio c/w: 3.256 speedup
+
diff --git a/arkane/data/xTB/xtb_opt_1.out b/arkane/data/xTB/xtb_opt_1.out
new file mode 100644
index 00000000000..d6237eeca75
--- /dev/null
+++ b/arkane/data/xTB/xtb_opt_1.out
@@ -0,0 +1,610 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.5.1 (b24c23e) compiled by 'conda@728c89f4b128' on 2022-07-12
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020, 11,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN1-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for ALPB and GBSA implicit solvation:
+ * S. Ehlert, M. Stahn, S. Spicher, S. Grimme, J. Chem. Theory Comput.,
+ 2021, 17, 4250-4261. DOI: 10.1021/acs.jctc.1c00471
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ for SPH calculations refer to:
+ * S. Spicher and S. Grimme, J. Chem. Theory Comput., 2021, 17, 1701-1714
+ DOI: 10.1021/acs.jctc.0c01306
+
+ with help from (in alphabetical order)
+ P. Atkinson, C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher
+ M. Checinski, S. Dohm, S. Ehlert, S. Ehrlich, I. Gerasimov, C. Hölzer
+ A. Katbashev, J. Koopman, C. Lavigne, S. Lehtola, F. März, M. Müller,
+ F. Musil, H. Neugebauer, J. Pisarek, C. Plett, P. Pracht, F. Pultar,
+ J. Seibert, P. Shushkov, S. Spicher, M. Stahn, M. Steiner, T. Strunk,
+ J. Stückrath, T. Rose, and J. Unsleber
+
+ * started run on 2022/07/25 at 06:22:17.589
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : xtb input.in --opt vtight
+ coordinate file : input.in
+ omp threads : 24
+
+ ID Z sym. atoms
+ 1 6 c 1-3
+ 2 8 o 4
+ 3 1 h 5-8
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 20 :
+ : # atomic orbitals 20 :
+ : # shells 12 :
+ : # electrons 22 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -12.5907958 -0.125908E+02 0.538E+00 3.37 0.0 T
+ 2 -12.6188145 -0.280187E-01 0.268E+00 2.55 1.0 T
+ 3 -12.6192585 -0.444029E-03 0.199E+00 3.03 1.0 T
+ 4 -12.6250726 -0.581411E-02 0.537E-01 2.77 1.0 T
+ 5 -12.6268146 -0.174195E-02 0.171E-01 2.81 1.0 T
+ 6 -12.6269634 -0.148778E-03 0.548E-02 2.81 1.0 T
+ 7 -12.6269686 -0.527887E-05 0.241E-02 2.80 1.5 T
+ 8 -12.6269688 -0.151179E-06 0.404E-03 2.80 8.8 T
+ 9 -12.6269688 -0.347712E-07 0.259E-03 2.80 13.6 T
+ 10 -12.6269689 -0.379188E-07 0.361E-04 2.80 97.9 T
+ 11 -12.6269689 -0.539755E-09 0.166E-04 2.80 212.5 T
+
+ *** convergence criteria satisfied after 11 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.7131568 -19.4060
+ ... ... ... ...
+ 5 2.0000 -0.5434007 -14.7867
+ 6 2.0000 -0.5422567 -14.7556
+ 7 2.0000 -0.5353638 -14.5680
+ 8 2.0000 -0.4951196 -13.4729
+ 9 2.0000 -0.4772995 -12.9880
+ 10 2.0000 -0.4486040 -12.2071
+ 11 2.0000 -0.4083156 -11.1108 (HOMO)
+ 12 -0.3053152 -8.3080 (LUMO)
+ 13 -0.1944273 -5.2906
+ 14 0.0741552 2.0179
+ 15 0.1201398 3.2692
+ 16 0.1383174 3.7638
+ ... ... ...
+ 20 0.6182951 16.8247
+ -------------------------------------------------------------
+ HL-Gap 0.1030004 Eh 2.8028 eV
+ Fermi-level -0.3568154 Eh -9.7094 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.497 sec
+ SCC setup ... 0 min, 0.007 sec ( 1.327%)
+ Dispersion ... 0 min, 0.020 sec ( 3.928%)
+ classical contributions ... 0 min, 0.009 sec ( 1.851%)
+ integral evaluation ... 0 min, 0.029 sec ( 5.846%)
+ iterations ... 0 min, 0.339 sec ( 68.271%)
+ molecular gradient ... 0 min, 0.093 sec ( 18.730%)
+ printout ... 0 min, 0.000 sec ( 0.043%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -12.460800594006 Eh ::
+ :: gradient norm 0.049225784306 Eh/a0 ::
+ :: HOMO-LUMO gap 2.802782657527 eV ::
+ ::.................................................::
+ :: SCC energy -12.626968863833 Eh ::
+ :: -> isotropic ES 0.022798934510 Eh ::
+ :: -> anisotropic ES 0.000527167465 Eh ::
+ :: -> anisotropic XC 0.007727951902 Eh ::
+ :: -> dispersion -0.003176771789 Eh ::
+ :: repulsion energy 0.166167967131 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -----------------------------------------------------------
+ | ===================== |
+ | A N C O P T |
+ | ===================== |
+ | Approximate Normal Coordinate |
+ | Rational Function Optimizer |
+ -----------------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : optimization level verytight :
+ : max. optcycles 200 :
+ : ANC micro-cycles 20 :
+ : degrees of freedom 18 :
+ :.................................................:
+ : RF solver davidson :
+ : write xtbopt.log true :
+ : linear? false :
+ : energy convergence 0.1000000E-06 Eh :
+ : grad. convergence 0.2000000E-03 Eh/α :
+ : maximium RF displ. 1.0000000 :
+ : Hlow (freq-cutoff) 0.1000000E-01 :
+ : Hmax (freq-cutoff) 5.0000000 :
+ : S6 in model hess. 20.0000000 :
+ ...................................................
+
+generating ANC from model Hessian ...
+Using Lindh-Hessian (1995)
+ Shifting diagonal of input Hessian by 7.5988932457269481E-004
+ Lowest eigenvalues of input Hessian
+ 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
+ 0.010000 0.015374 0.027151 0.034216 0.061470 0.095310
+ 0.116244 0.120151 0.122578 0.204959 0.275560 0.373010
+ Highest eigenvalues
+ 0.691328 0.882781 1.216378 1.553964 1.815825 2.150343
+
+
+........................................................................
+.............................. CYCLE 1 ..............................
+........................................................................
+ 1 -12.6269689 -0.126270E+02 0.166E-05 2.80 0.0 T
+ 2 -12.6269689 -0.866862E-12 0.100E-05 2.80 3529.0 T
+ 3 -12.6269689 -0.481393E-12 0.392E-06 2.80 9012.5 T
+ SCC iter. ... 0 min, 0.097 sec
+ gradient ... 0 min, 0.075 sec
+ * total energy : -12.4608006 Eh change -0.1592024E-09 Eh
+ gradient norm : 0.0492276 Eh/α predicted 0.0000000E+00 (-100.00%)
+ displ. norm : 0.0681358 α lambda -0.2083977E-02
+ maximum displ.: 0.0428669 α in ANC's #12, #10, #7, ...
+
+........................................................................
+.............................. CYCLE 2 ..............................
+........................................................................
+ 1 -12.6386519 -0.126387E+02 0.168E-01 2.83 0.0 T
+ 2 -12.6386762 -0.243236E-04 0.967E-02 2.84 1.0 T
+ 3 -12.6386751 0.112803E-05 0.340E-02 2.84 1.0 T
+ 4 -12.6386757 -0.622004E-06 0.173E-02 2.84 2.0 T
+ 5 -12.6386777 -0.198798E-05 0.428E-03 2.84 8.3 T
+ 6 -12.6386778 -0.545412E-07 0.143E-03 2.84 24.7 T
+ 7 -12.6386778 -0.687682E-08 0.596E-04 2.84 59.3 T
+ 8 -12.6386778 -0.184372E-09 0.106E-04 2.84 335.0 T
+ SCC iter. ... 0 min, 0.244 sec
+ gradient ... 0 min, 0.089 sec
+ * total energy : -12.4621329 Eh change -0.1332321E-02 Eh
+ gradient norm : 0.0160161 Eh/α predicted -0.1046825E-02 ( -21.43%)
+ displ. norm : 0.0426717 α lambda -0.3126434E-03
+ maximum displ.: 0.0297874 α in ANC's #3, #7, #10, ...
+
+........................................................................
+.............................. CYCLE 3 ..............................
+........................................................................
+ 1 -12.6413473 -0.126413E+02 0.919E-02 2.84 0.0 T
+ 2 -12.6413511 -0.379125E-05 0.534E-02 2.85 1.0 T
+ 3 -12.6413511 -0.144316E-07 0.122E-02 2.84 2.9 T
+ 4 -12.6413512 -0.707960E-07 0.590E-03 2.84 6.0 T
+ 5 -12.6413514 -0.174490E-06 0.214E-03 2.84 16.5 T
+ 6 -12.6413514 -0.198041E-07 0.456E-04 2.84 77.5 T
+ 7 -12.6413514 -0.126256E-09 0.240E-04 2.84 147.2 T
+ SCC iter. ... 0 min, 0.227 sec
+ gradient ... 0 min, 0.089 sec
+ * total energy : -12.4623098 Eh change -0.1768535E-03 Eh
+ gradient norm : 0.0030405 Eh/α predicted -0.1566056E-03 ( -11.45%)
+ displ. norm : 0.0223827 α lambda -0.2441481E-04
+ maximum displ.: 0.0206479 α in ANC's #3, #8, #6, ...
+
+........................................................................
+.............................. CYCLE 4 ..............................
+........................................................................
+ 1 -12.6409333 -0.126409E+02 0.192E-02 2.84 0.0 T
+ 2 -12.6409334 -0.543306E-07 0.114E-02 2.84 3.1 T
+ 3 -12.6409332 0.131372E-06 0.481E-03 2.84 7.4 T
+ 4 -12.6409334 -0.155889E-06 0.115E-03 2.84 30.7 T
+ 5 -12.6409334 -0.275147E-08 0.225E-04 2.84 157.3 T
+ 6 -12.6409334 -0.573408E-11 0.791E-05 2.84 447.2 T
+ SCC iter. ... 0 min, 0.185 sec
+ gradient ... 0 min, 0.080 sec
+ * total energy : -12.4623254 Eh change -0.1567032E-04 Eh
+ gradient norm : 0.0009347 Eh/α predicted -0.1221273E-04 ( -22.06%)
+ displ. norm : 0.0204727 α lambda -0.4591387E-05
+ maximum displ.: 0.0196940 α in ANC's #3, #8, #6, ...
+
+........................................................................
+.............................. CYCLE 5 ..............................
+........................................................................
+ 1 -12.6404761 -0.126405E+02 0.116E-02 2.84 0.0 T
+ 2 -12.6404762 -0.276402E-07 0.687E-03 2.84 5.1 T
+ 3 -12.6404762 0.173422E-08 0.136E-03 2.84 26.0 T
+ 4 -12.6404762 -0.536354E-08 0.586E-04 2.84 60.3 T
+ 5 -12.6404762 -0.942974E-09 0.278E-04 2.84 127.3 T
+ SCC iter. ... 0 min, 0.152 sec
+ gradient ... 0 min, 0.079 sec
+ * total energy : -12.4623278 Eh change -0.2334995E-05 Eh
+ gradient norm : 0.0006904 Eh/α predicted -0.2295773E-05 ( -1.68%)
+ displ. norm : 0.0034964 α lambda -0.5910528E-06
+ maximum displ.: 0.0030268 α in ANC's #3, #8, #12, ...
+
+........................................................................
+.............................. CYCLE 6 ..............................
+........................................................................
+ 1 -12.6406433 -0.126406E+02 0.349E-03 2.84 0.0 T
+ 2 -12.6406433 -0.286860E-08 0.210E-03 2.84 16.8 T
+ 3 -12.6406433 0.733069E-08 0.115E-03 2.84 30.7 T
+ 4 -12.6406433 -0.880051E-08 0.240E-04 2.84 147.2 T
+ 5 -12.6406433 -0.121268E-09 0.680E-05 2.84 520.2 T
+ SCC iter. ... 0 min, 0.146 sec
+ gradient ... 0 min, 0.085 sec
+ * total energy : -12.4623282 Eh change -0.4543308E-06 Eh
+ gradient norm : 0.0000695 Eh/α predicted -0.2944292E-06 ( -35.19%)
+ displ. norm : 0.0006683 α lambda -0.1341700E-07
+ maximum displ.: 0.0006020 α in ANC's #3, #7, #10, ...
+
+........................................................................
+.............................. CYCLE 7 ..............................
+........................................................................
+ 1 -12.6406617 -0.126407E+02 0.640E-04 2.84 0.0 T
+ 2 -12.6406617 -0.350422E-10 0.382E-04 2.84 92.6 T
+ 3 -12.6406617 0.134213E-09 0.145E-04 2.84 243.8 T
+ SCC iter. ... 0 min, 0.086 sec
+ gradient ... 0 min, 0.072 sec
+ * total energy : -12.4623282 Eh change -0.7892329E-08 Eh
+ gradient norm : 0.0000280 Eh/α predicted -0.5663934E-08 ( -28.23%)
+ displ. norm : 0.0006019 α lambda -0.4580349E-08
+ maximum displ.: 0.0003958 α in ANC's #3, #1, #5, ...
+
+ *** GEOMETRY OPTIMIZATION CONVERGED AFTER 7 ITERATIONS ***
+
+------------------------------------------------------------------------
+ total energy gain : -0.0015276 Eh -0.9586 kcal/mol
+ total RMSD : 0.0466515 a0 0.0247 Å
+ total power (kW/mol): -0.5729750 (step) -2.1392 (real)
+------------------------------------------------------------------------
+
+ ANCopt (total) 0 d, 0 h, 0 min, 1.875 sec
+ optimizer setup ... 0 min, 0.000 sec ( 0.004%)
+ model hessian ... 0 min, 0.005 sec ( 0.244%)
+ ANC generation ... 0 min, 0.000 sec ( 0.018%)
+ coordinate transformation ... 0 min, 0.000 sec ( 0.002%)
+ single point calculation ... 0 min, 1.852 sec ( 98.767%)
+ optimization log ... 0 min, 0.005 sec ( 0.263%)
+ hessian update ... 0 min, 0.012 sec ( 0.663%)
+ rational function ... 0 min, 0.000 sec ( 0.024%)
+
+================
+ final structure:
+================
+$coord
+ -2.19083616836090E+00 -8.75055545944093E-02 -7.12358508847116E-01 c
+ -1.70663821576948E-01 -7.21009080780027E-01 6.33951435929200E-01 c
+ 2.27150340995404E+00 5.39200343733434E-01 3.05747355748416E-01 c
+ 4.16185183882216E+00 4.56870795397582E-02 1.46958543963615E+00 o
+ -2.10906550336131E+00 1.39281538085596E+00 -2.11159862590894E+00 h
+ -3.98822887666127E+00 -1.01150815322938E+00 -4.74092464462499E-01 h
+ -2.30883305078883E-01 -2.20128348308961E+00 2.04098984698359E+00 h
+ 2.25632242626311E+00 2.04360346756428E+00 -1.15222446018155E+00 h
+$eht charge=0 unpaired=0
+$periodic 0
+$end
+
+ Bond Distances (Angstroems)
+ ---------------------------
+C1-C2=1.3277 C1-H5=1.0788 C1-H6=1.0769 C2-C1=1.3277 C2-C3=1.4646 C2-H7=1.0812
+C3-C2=1.4646 C3-O4=1.2034 C3-H8=1.1086 O4-C3=1.2034 H5-C1=1.0788 H6-C1=1.0769
+H7-C2=1.0812 H8-C3=1.1086
+ C H Rav=1.0864 sigma=0.0129 Rmin=1.0769 Rmax=1.1086 4
+ C C Rav=1.3961 sigma=0.0684 Rmin=1.3277 Rmax=1.4646 2
+ O C Rav=1.2034 sigma=0.0000 Rmin=1.2034 Rmax=1.2034 1
+
+ selected bond angles (degree)
+ --------------------
+H5-C1-C2=121.29 H6-C1-C2=122.26 H6-C1-H5=116.46 C3-C2-C1=122.13
+H7-C2-C1=121.92 H7-C2-C3=115.95 O4-C3-C2=125.03 H8-C3-C2=113.77
+H8-C3-O4=121.20
+
+ selected dihedral angles (degree)
+ ---------------------------------
+C3-C2-C1-H5= 0.00 C3-C2-C1-H6=180.00 H7-C2-C1-H5=180.00 H7-C2-C1-H6= 0.00
+O4-C3-C2-C1=180.00 O4-C3-C2-H7= 0.00 H8-C3-C2-C1= 0.00 H8-C3-C2-H7=180.00
+ -------------------------------------------------
+ | Final Singlepoint |
+ -------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 20 :
+ : # atomic orbitals 20 :
+ : # shells 12 :
+ : # electrons 22 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -12.6406617 -0.126407E+02 0.236E-05 2.84 0.0 T
+ 2 -12.6406617 -0.268230E-12 0.173E-05 2.84 2046.9 T
+ 3 -12.6406617 -0.164846E-11 0.789E-06 2.84 4481.0 T
+
+ *** convergence criteria satisfied after 3 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.7184412 -19.5498
+ ... ... ... ...
+ 5 2.0000 -0.5461831 -14.8624
+ 6 2.0000 -0.5438191 -14.7981
+ 7 2.0000 -0.5413599 -14.7312
+ 8 2.0000 -0.4966851 -13.5155
+ 9 2.0000 -0.4767594 -12.9733
+ 10 2.0000 -0.4509688 -12.2715
+ 11 2.0000 -0.4071929 -11.0803 (HOMO)
+ 12 -0.3027498 -8.2382 (LUMO)
+ 13 -0.1874306 -5.1002
+ 14 0.0852857 2.3207
+ 15 0.1253890 3.4120
+ 16 0.1526653 4.1542
+ ... ... ...
+ 20 0.6705004 18.2452
+ -------------------------------------------------------------
+ HL-Gap 0.1044431 Eh 2.8420 eV
+ Fermi-level -0.3549713 Eh -9.6593 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.181 sec
+ SCC setup ... 0 min, 0.000 sec ( 0.027%)
+ Dispersion ... 0 min, 0.000 sec ( 0.024%)
+ classical contributions ... 0 min, 0.000 sec ( 0.011%)
+ integral evaluation ... 0 min, 0.000 sec ( 0.094%)
+ iterations ... 0 min, 0.091 sec ( 50.144%)
+ molecular gradient ... 0 min, 0.090 sec ( 49.570%)
+ printout ... 0 min, 0.000 sec ( 0.120%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -12.462328236846 Eh ::
+ :: gradient norm 0.000028105045 Eh/a0 ::
+ :: HOMO-LUMO gap 2.842040266862 eV ::
+ ::.................................................::
+ :: SCC energy -12.640661718123 Eh ::
+ :: -> isotropic ES 0.021865290434 Eh ::
+ :: -> anisotropic ES 0.000684189274 Eh ::
+ :: -> anisotropic XC 0.007134499414 Eh ::
+ :: -> dispersion -0.003195397865 Eh ::
+ :: repulsion energy 0.178333216781 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.7184412 -19.5498
+ 2 2.0000 -0.6579346 -17.9033
+ 3 2.0000 -0.6163375 -16.7714
+ 4 2.0000 -0.5907356 -16.0747
+ 5 2.0000 -0.5461831 -14.8624
+ 6 2.0000 -0.5438191 -14.7981
+ 7 2.0000 -0.5413599 -14.7312
+ 8 2.0000 -0.4966851 -13.5155
+ 9 2.0000 -0.4767594 -12.9733
+ 10 2.0000 -0.4509688 -12.2715
+ 11 2.0000 -0.4071929 -11.0803 (HOMO)
+ 12 -0.3027498 -8.2382 (LUMO)
+ 13 -0.1874306 -5.1002
+ 14 0.0852857 2.3207
+ 15 0.1253890 3.4120
+ 16 0.1526653 4.1542
+ 17 0.2277756 6.1981
+ 18 0.3864171 10.5149
+ 19 0.5019278 13.6582
+ 20 0.6705004 18.2452
+ -------------------------------------------------------------
+ HL-Gap 0.1044431 Eh 2.8420 eV
+ Fermi-level -0.3549713 Eh -9.6593 eV
+
+ # Z covCN q C6AA α(0)
+ 1 6 c 2.841 -0.062 29.538 8.907
+ 2 6 c 2.886 -0.047 29.153 8.852
+ 3 6 c 2.765 0.212 23.512 7.941
+ 4 8 o 0.856 -0.322 20.178 6.023
+ 5 1 h 0.926 0.062 2.175 2.306
+ 6 1 h 0.926 0.065 2.137 2.286
+ 7 1 h 0.926 0.072 2.062 2.245
+ 8 1 h 0.922 0.019 2.753 2.595
+
+ Mol. C6AA /au·bohr⁶ : 683.380955
+ Mol. C8AA /au·bohr⁸ : 15676.006174
+ Mol. α(0) /au : 41.154406
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 6 c 3.983 -- 2 c 1.902 6 h 0.976 5 h 0.972
+ 4 o 0.103
+ 2 6 c 3.988 -- 1 c 1.902 3 c 1.067 7 h 0.961
+ 3 6 c 3.925 -- 4 o 1.882 2 c 1.067 8 h 0.929
+ 4 8 o 2.089 -- 3 c 1.882 1 c 0.103
+ 5 1 h 0.996 -- 1 c 0.972
+ 6 1 h 0.996 -- 1 c 0.976
+ 7 1 h 0.995 -- 2 c 0.961
+ 8 1 h 1.000 -- 3 c 0.929
+ ---------------------------------------------------------------------------
+
+Topologies differ in total number of bonds
+Writing topology from bond orders to xtbtopo.mol
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: -1.079 0.038 -0.429
+ full: -1.243 0.100 -0.549 3.463
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: -3.634 0.578 2.387 -2.393 -0.733 1.247
+ q+dip: -4.530 1.216 3.107 -2.925 -2.284 1.423
+ full: -5.187 0.809 3.411 -3.503 -0.782 1.777
+
+ -------------------------------------------------
+ | Geometry Summary |
+ -------------------------------------------------
+
+ molecular mass/u : 56.0633756
+ center of mass at/Å : 0.5795684 -0.0215046 0.2315612
+ moments of inertia/u·Å² : 0.1023246E+02 0.1083647E+03 0.1185971E+03
+rotational constants/cm⁻¹ : 0.1647466E+01 0.1555639E+00 0.1421420E+00
+
+ * 5 selected distances
+
+ # Z # Z value/Å
+ 1 6 c 2 6 c 1.3276944 (max)
+ 3 6 c 4 8 o 1.2033974
+ 1 6 c 5 1 h 1.0787833
+ 1 6 c 6 1 h 1.0768688 (min)
+ 2 6 c 7 1 h 1.0812059
+
+ * 3 distinct bonds (by element types)
+
+ Z Z # av. dist./Å max./Å min./Å
+ 1 H 6 C 3 1.0789527 1.0812059 1.0768688
+ 6 C 6 C 1 1.3276944 1.3276944 1.3276944
+ 6 C 8 O 1 1.2033974 1.2033974 1.2033974
+
+
+optimized geometry written to: xtbopt.in
+
+
+ -------------------------------------------------
+ | TOTAL ENERGY -12.462328236846 Eh |
+ | GRADIENT NORM 0.000028105045 Eh/α |
+ | HOMO-LUMO GAP 2.842040266862 eV |
+ -------------------------------------------------
+
+------------------------------------------------------------------------
+ * finished run on 2022/07/25 at 06:22:20.233
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 2.644 sec
+ * cpu-time: 0 d, 0 h, 1 min, 1.192 sec
+ * ratio c/w: 23.142 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 0.497 sec
+ * cpu-time: 0 d, 0 h, 0 min, 11.606 sec
+ * ratio c/w: 23.352 speedup
+ ANC optimizer:
+ * wall-time: 0 d, 0 h, 0 min, 2.057 sec
+ * cpu-time: 0 d, 0 h, 0 min, 47.500 sec
+ * ratio c/w: 23.091 speedup
+
diff --git a/arkane/data/xTB/xtb_opt_2.out b/arkane/data/xTB/xtb_opt_2.out
new file mode 100644
index 00000000000..6441b296eea
--- /dev/null
+++ b/arkane/data/xTB/xtb_opt_2.out
@@ -0,0 +1,581 @@
+ -----------------------------------------------------------
+ | ===================== |
+ | x T B |
+ | ===================== |
+ | S. Grimme |
+ | Mulliken Center for Theoretical Chemistry |
+ | University of Bonn |
+ -----------------------------------------------------------
+
+ * xtb version 6.3.3 (4ae9cef) compiled by 'conda@95abc7406d43' on 2020-10-14
+
+ xtb is free software: you can redistribute it and/or modify it under
+ the terms of the GNU Lesser General Public License as published by
+ the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ xtb is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ GNU Lesser General Public License for more details.
+
+ Cite this work as:
+ * C. Bannwarth, E. Caldeweyher, S. Ehlert, A. Hansen, P. Pracht,
+ J. Seibert, S. Spicher, S. Grimme, WIREs Comput. Mol. Sci., 2020,
+ e01493. DOI: 10.1002/wcms.1493
+
+ for GFN2-xTB:
+ * S. Grimme, C. Bannwarth, P. Shushkov, J. Chem. Theory Comput., 2017,
+ 13, 1989-2009. DOI: 10.1021/acs.jctc.7b00118
+ for GFN1-xTB:
+ * C. Bannwarth, S. Ehlert and S. Grimme., J. Chem. Theory Comput., 2019,
+ 15, 1652-1671. DOI: 10.1021/acs.jctc.8b01176
+ for GFN0-xTB:
+ * P. Pracht, E. Caldeweyher, S. Ehlert, S. Grimme, ChemRxiv, 2019, preprint.
+ DOI: 10.26434/chemrxiv.8326202.v1
+ for GFN-FF:
+ * S. Spicher and S. Grimme, Angew. Chem. Int. Ed., 2020, 59, 15665-15673.
+ DOI: 10.1002/anie.202004239
+
+ for DFT-D4:
+ * E. Caldeweyher, C. Bannwarth and S. Grimme, J. Chem. Phys., 2017,
+ 147, 034112. DOI: 10.1063/1.4993215
+ * E. Caldeweyher, S. Ehlert, A. Hansen, H. Neugebauer, S. Spicher,
+ C. Bannwarth and S. Grimme, J. Chem. Phys., 2019, 150, 154122.
+ DOI: 10.1063/1.5090222
+ * E. Caldeweyher, J.-M. Mewes, S. Ehlert and S. Grimme, Phys. Chem. Chem. Phys.
+ 2020, 22, 8499-8512. DOI: 10.1039/D0CP00502A
+
+ for sTDA-xTB:
+ * S. Grimme and C. Bannwarth, J. Chem. Phys., 2016, 145, 054103.
+ DOI: 10.1063/1.4959605
+
+ in the mass-spec context:
+ * V. Asgeirsson, C. Bauer and S. Grimme, Chem. Sci., 2017, 8, 4879.
+ DOI: 10.1039/c7sc00601b
+ * J. Koopman and S. Grimme, ACS Omega 2019, 4, 12, 15120-15133.
+ DOI: 10.1021/acsomega.9b02011
+
+ for metadynamics refer to:
+ * S. Grimme, J. Chem. Theory Comput., 2019, 155, 2847-2862
+ DOI: 10.1021/acs.jctc.9b00143
+
+ with help from (in alphabetical order)
+ C. Bannwarth, F. Bohle, G. Brandenburg, E. Caldeweyher, M. Checinski,
+ S. Dohm, S. Ehlert, S. Ehrlich, F. März, H. Neugebauer, J. Pisarek,
+ P. Pracht, P. Shushkov, and S. Spicher.
+
+ * started run on 2022/07/27 at 14:05:02.400
+
+ -------------------------------------------------
+ | Calculation Setup |
+ -------------------------------------------------
+
+ program call : /home/alon/anaconda3/envs/arc_env/bin/xtb mol.sdf --opt tight --gfn2 --uhf 0 --chrg 0
+ coordinate file : mol.sdf
+ omp threads : 24
+ number of atoms : 11
+ number of electrons : 20
+ charge : 0
+ spin : 0.0
+ first test random number : 0.42084347216098
+
+ ID Z sym. atoms
+ 1 6 C 1-3
+ 2 1 H 4-11
+
+ -------------------------------------------------
+ | G F N 2 - x T B |
+ -------------------------------------------------
+
+ Reference 10.1021/acs.jctc.8b01176
+ * Hamiltonian:
+ H0-scaling (s, p, d) 1.850000 2.230000 2.230000
+ zeta-weighting 0.500000
+ * Dispersion:
+ s8 2.700000
+ a1 0.520000
+ a2 5.000000
+ s9 5.000000
+ * Repulsion:
+ kExp 1.500000 1.000000
+ rExp 1.000000
+ * Coulomb:
+ alpha 2.000000
+ third order shell-resolved
+ anisotropic true
+ a3 3.000000
+ a5 4.000000
+ cn-shift 1.200000
+ cn-exp 4.000000
+ max-rad 5.000000
+
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 20 :
+ : # atomic orbitals 20 :
+ : # shells 14 :
+ : # electrons 20 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.6257535 -0.106258E+02 0.262E+00 15.04 0.0 T
+ 2 -10.6592586 -0.335051E-01 0.136E+00 14.70 1.0 T
+ 3 -10.6595797 -0.321137E-03 0.727E-01 14.66 1.0 T
+ 4 -10.6596716 -0.918270E-04 0.975E-02 14.65 1.0 T
+ 5 -10.6596808 -0.927928E-05 0.548E-02 14.65 1.0 T
+ 6 -10.6596811 -0.270781E-06 0.248E-03 14.65 12.2 T
+ 7 -10.6596811 -0.645330E-08 0.776E-04 14.65 38.9 T
+ 8 -10.6596811 -0.600750E-09 0.158E-04 14.65 190.7 T
+
+ *** convergence criteria satisfied after 8 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6141157 -16.7109
+ ... ... ... ...
+ 4 2.0000 -0.5075529 -13.8112
+ 5 2.0000 -0.4966123 -13.5135
+ 6 2.0000 -0.4758975 -12.9498
+ 7 2.0000 -0.4590074 -12.4902
+ 8 2.0000 -0.4363473 -11.8736
+ 9 2.0000 -0.4355067 -11.8507
+ 10 2.0000 -0.4235531 -11.5255 (HOMO)
+ 11 0.1148616 3.1255 (LUMO)
+ 12 0.1332450 3.6258
+ 13 0.1353284 3.6825
+ 14 0.1550471 4.2190
+ 15 0.1641699 4.4673
+ ... ... ...
+ 20 0.2958208 8.0497
+ -------------------------------------------------------------
+ HL-Gap 0.5384146 Eh 14.6510 eV
+ Fermi-level -0.1543458 Eh -4.2000 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.126 sec
+ SCC setup ... 0 min, 0.006 sec ( 4.788%)
+ Dispersion ... 0 min, 0.005 sec ( 4.002%)
+ classical contributions ... 0 min, 0.010 sec ( 7.862%)
+ integral evaluation ... 0 min, 0.020 sec ( 15.738%)
+ iterations ... 0 min, 0.002 sec ( 1.196%)
+ molecular gradient ... 0 min, 0.084 sec ( 66.241%)
+ printout ... 0 min, 0.000 sec ( 0.158%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -10.500602584535 Eh ::
+ :: gradient norm 0.014504141544 Eh/a0 ::
+ :: HOMO-LUMO gap 14.651008068562 eV ::
+ ::.................................................::
+ :: SCC energy -10.659681120107 Eh ::
+ :: -> isotropic ES 0.002421663158 Eh ::
+ :: -> anisotropic ES 0.004136237416 Eh ::
+ :: -> anisotropic XC 0.007405219779 Eh ::
+ :: -> dispersion -0.003960516702 Eh ::
+ :: repulsion energy 0.159077129515 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge -0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -----------------------------------------------------------
+ | ===================== |
+ | A N C O P T |
+ | ===================== |
+ | Approximate Normal Coordinate |
+ | Rational Function Optimizer |
+ -----------------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : optimization level tight :
+ : max. optcycles 200 :
+ : ANC micro-cycles 20 :
+ : degrees of freedom 27 :
+ :.................................................:
+ : RF solver davidson :
+ : write xtbopt.log true :
+ : linear? false :
+ : energy convergence 0.1000000E-05 Eh :
+ : grad. convergence 0.8000000E-03 Eh/α :
+ : maximium RF displ. 1.0000000 :
+ : Hlow (freq-cutoff) 0.1000000E-01 :
+ : Hmax (freq-cutoff) 5.0000000 :
+ : S6 in model hess. 20.0000000 :
+ ...................................................
+
+generating ANC from model Hessian ...
+Using Lindh-Hessian (1995)
+ Shifting diagonal of input Hessian by 1.0542808446694953E-003
+ Lowest eigenvalues of input Hessian
+ 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
+ 0.010000 0.012412 0.013676 0.039432 0.050560 0.052472
+ 0.056109 0.059606 0.069906 0.078238 0.102829 0.122909
+ Highest eigenvalues
+ 1.079294 1.090462 1.096031 1.169699 1.218667 1.266731
+
+
+........................................................................
+.............................. CYCLE 1 ..............................
+........................................................................
+ 1 -10.6596811 -0.106597E+02 0.183E-05 14.65 0.0 T
+ 2 -10.6596811 -0.186873E-11 0.642E-06 14.65 4697.8 T
+ 3 -10.6596811 -0.888178E-14 0.354E-06 14.65 8510.9 T
+ SCC iter. ... 0 min, 0.001 sec
+ gradient ... 0 min, 0.093 sec
+ * total energy : -10.5006026 Eh change -0.5696776E-11 Eh
+ gradient norm : 0.0145036 Eh/α predicted 0.0000000E+00 (-100.00%)
+ displ. norm : 0.0410783 α lambda -0.3613972E-03
+ maximum displ.: 0.0229545 α in ANC's #7, #18, #10, ...
+
+........................................................................
+.............................. CYCLE 2 ..............................
+........................................................................
+ 1 -10.6639670 -0.106640E+02 0.792E-02 14.54 0.0 T
+ 2 -10.6639706 -0.360924E-05 0.461E-02 14.55 1.0 T
+ 3 -10.6639708 -0.119603E-06 0.835E-03 14.55 3.6 T
+ 4 -10.6639708 -0.367680E-08 0.167E-03 14.55 18.0 T
+ 5 -10.6639708 -0.461146E-09 0.202E-04 14.55 148.9 T
+ 6 -10.6639708 -0.530154E-10 0.967E-05 14.55 311.8 T
+ SCC iter. ... 0 min, 0.001 sec
+ gradient ... 0 min, 0.073 sec
+ * total energy : -10.5008063 Eh change -0.2037127E-03 Eh
+ gradient norm : 0.0048232 Eh/α predicted -0.1810025E-03 ( -11.15%)
+ displ. norm : 0.0265167 α lambda -0.4226909E-04
+ maximum displ.: 0.0240501 α in ANC's #3, #7, #26, ...
+
+........................................................................
+.............................. CYCLE 3 ..............................
+........................................................................
+ 1 -10.6653153 -0.106653E+02 0.238E-02 14.60 0.0 T
+ 2 -10.6653157 -0.477935E-06 0.131E-02 14.61 2.3 T
+ 3 -10.6653157 -0.529422E-08 0.346E-03 14.61 8.7 T
+ 4 -10.6653157 -0.570763E-09 0.338E-04 14.61 89.3 T
+ 5 -10.6653157 -0.408473E-10 0.143E-04 14.61 210.6 T
+ SCC iter. ... 0 min, 0.001 sec
+ gradient ... 0 min, 0.002 sec
+ * total energy : -10.5008271 Eh change -0.2077954E-04 Eh
+ gradient norm : 0.0008332 Eh/α predicted -0.2114876E-04 ( 1.78%)
+ displ. norm : 0.0043735 α lambda -0.1734380E-05
+ maximum displ.: 0.0023370 α in ANC's #10, #18, #16, ...
+
+........................................................................
+.............................. CYCLE 4 ..............................
+........................................................................
+ 1 -10.6650453 -0.106650E+02 0.769E-03 14.58 0.0 T
+ 2 -10.6650453 -0.198656E-07 0.451E-03 14.58 6.7 T
+ 3 -10.6650453 0.365032E-09 0.902E-04 14.58 33.4 T
+ 4 -10.6650453 -0.244372E-08 0.174E-04 14.58 172.8 T
+ SCC iter. ... 0 min, 0.001 sec
+ gradient ... 0 min, 0.001 sec
+ * total energy : -10.5008281 Eh change -0.9891214E-06 Eh
+ gradient norm : 0.0002078 Eh/α predicted -0.8676407E-06 ( -12.28%)
+ displ. norm : 0.0013168 α lambda -0.1396974E-06
+ maximum displ.: 0.0009773 α in ANC's #10, #16, #3, ...
+
+ *** GEOMETRY OPTIMIZATION CONVERGED AFTER 4 ITERATIONS ***
+
+------------------------------------------------------------------------
+ total energy gain : -0.0002255 Eh -0.1415 kcal/mol
+ total RMSD : 0.0156873 a0 0.0083 Å
+ total power (kW/mol): -0.1480003 (step) -1.8617 (real)
+------------------------------------------------------------------------
+
+ ANCopt (total) 0 d, 0 h, 0 min, 0.318 sec
+ optimizer setup ... 0 min, 0.000 sec ( 0.031%)
+ model hessian ... 0 min, 0.001 sec ( 0.417%)
+ ANC generation ... 0 min, 0.000 sec ( 0.056%)
+ coordinate transformation ... 0 min, 0.000 sec ( 0.005%)
+ single point calculation ... 0 min, 0.305 sec ( 96.010%)
+ optimization log ... 0 min, 0.000 sec ( 0.146%)
+ hessian update ... 0 min, 0.010 sec ( 3.123%)
+ rational function ... 0 min, 0.000 sec ( 0.069%)
+
+================
+ final structure:
+================
+
+ xtb 07272214053D
+xtb: 6.3.3 (4ae9cef)
+ 11 10 0 0 0 999 V2000
+ 1.2769 -0.0581 -0.1002 C 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.1342 -0.6020 0.0867 C 0 0 0 0 0 0 0 0 0 0 0 0
+ -1.1766 0.5082 0.0354 C 0 0 0 0 0 0 0 0 0 0 0 0
+ 1.3672 0.4420 -1.0623 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 2.0080 -0.8624 -0.0611 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 1.5140 0.6603 0.6818 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.1997 -1.1163 1.0482 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.3465 -1.3346 -0.6954 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -1.1394 1.0205 -0.9237 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -0.9926 1.2388 0.8204 H 0 0 0 0 0 0 0 0 0 0 0 0
+ -2.1772 0.1036 0.1703 H 0 0 0 0 0 0 0 0 0 0 0 0
+ 1 2 1 0 0 0 0
+ 1 4 1 0 0 0 0
+ 1 5 1 0 0 0 0
+ 1 6 1 0 0 0 0
+ 2 3 1 0 0 0 0
+ 2 7 1 0 0 0 0
+ 2 8 1 0 0 0 0
+ 3 9 1 0 0 0 0
+ 3 10 1 0 0 0 0
+ 3 11 1 0 0 0 0
+M END
+$$$$
+
+ Bond Distances (Angstroems)
+ ---------------------------
+C1-C2=1.5238 C1-H4=1.0881 C1-H5=1.0877 C1-H6=1.0881 C2-C1=1.5238 C2-C3=1.5238
+C2-H7=1.0924 C2-H8=1.0924 C3-C2=1.5238 C3-H9=1.0881 C3-H10=1.0881 C3-H11=1.0877
+H4-C1=1.0881 H5-C1=1.0877 H6-C1=1.0881 H7-C2=1.0924 H8-C2=1.0924 H9-C3=1.0881
+H10-C3=1.0881 H11-C3=1.0877
+ C H Rav=1.0890 sigma=0.0019 Rmin=1.0877 Rmax=1.0924 8
+ C C Rav=1.5238 sigma=0.0000 Rmin=1.5238 Rmax=1.5238 2
+
+ selected bond angles (degree)
+ --------------------
+H4-C1-C2=110.45 H5-C1-C2=110.74 H5-C1-H4=108.42 H6-C1-C2=110.45
+H6-C1-H4=108.30 H6-C1-H5=108.42 C3-C2-C1=111.67 H7-C2-C1=109.36
+H7-C2-C3=109.36 H8-C2-C1=109.36 H8-C2-C3=109.36 H8-C2-H7=107.62
+H9-C3-C2=110.45 H10-C3-C2=110.45 H10-C3-H9=108.30 H11-C3-C2=110.74
+H11-C3-H9=108.42 H11-C3-H10=108.42
+
+ selected dihedral angles (degree)
+ ---------------------------------
+C3-C2-C1-H4=300.11 C3-C2-C1-H5=180.00 C3-C2-C1-H6= 59.89 H7-C2-C1-H4=178.92
+H7-C2-C1-H5= 58.81 H7-C2-C1-H6=298.70 H8-C2-C1-H4= 61.30 H8-C2-C1-H5=301.19
+H8-C2-C1-H6=181.08 H9-C3-C2-C1= 59.89 H9-C3-C2-H7=181.08 H9-C3-C2-H8=298.70
+H10-C3-C2-C1=300.11 H10-C3-C2-H7= 61.30 H10-C3-C2-H8=178.92 H11-C3-C2-C1=180.00
+H11-C3-C2-H7=301.19 H11-C3-C2-H8= 58.81
+ -------------------------------------------------
+ | Final Singlepoint |
+ -------------------------------------------------
+
+ ...................................................
+ : SETUP :
+ :.................................................:
+ : # basis functions 20 :
+ : # atomic orbitals 20 :
+ : # shells 14 :
+ : # electrons 20 :
+ : max. iterations 250 :
+ : Hamiltonian GFN2-xTB :
+ : restarted? false :
+ : GBSA solvation false :
+ : PC potential false :
+ : electronic temp. 300.0000000 K :
+ : accuracy 1.0000000 :
+ : -> integral cutoff 0.2500000E+02 :
+ : -> integral neglect 0.1000000E-07 :
+ : -> SCF convergence 0.1000000E-05 Eh :
+ : -> wf. convergence 0.1000000E-03 e :
+ : Broyden damping 0.4000000 :
+ ...................................................
+
+ iter E dE RMSdq gap omega full diag
+ 1 -10.6650453 -0.106650E+02 0.159E-05 14.58 0.0 T
+ 2 -10.6650453 -0.103029E-12 0.839E-06 14.58 3592.6 T
+ 3 -10.6650453 -0.319744E-13 0.138E-06 14.58 21857.7 T
+
+ *** convergence criteria satisfied after 3 iterations ***
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6139733 -16.7071
+ ... ... ... ...
+ 4 2.0000 -0.5076449 -13.8137
+ 5 2.0000 -0.4966410 -13.5143
+ 6 2.0000 -0.4754813 -12.9385
+ 7 2.0000 -0.4592433 -12.4966
+ 8 2.0000 -0.4372767 -11.8989
+ 9 2.0000 -0.4351047 -11.8398
+ 10 2.0000 -0.4239161 -11.5353 (HOMO)
+ 11 0.1118565 3.0438 (LUMO)
+ 12 0.1369565 3.7268
+ 13 0.1421186 3.8672
+ 14 0.1615191 4.3952
+ 15 0.1721476 4.6844
+ ... ... ...
+ 20 0.3019726 8.2171
+ -------------------------------------------------------------
+ HL-Gap 0.5357725 Eh 14.5791 eV
+ Fermi-level -0.1560298 Eh -4.2458 eV
+
+ SCC (total) 0 d, 0 h, 0 min, 0.003 sec
+ SCC setup ... 0 min, 0.000 sec ( 3.294%)
+ Dispersion ... 0 min, 0.000 sec ( 2.217%)
+ classical contributions ... 0 min, 0.000 sec ( 8.298%)
+ integral evaluation ... 0 min, 0.001 sec ( 17.199%)
+ iterations ... 0 min, 0.001 sec ( 16.169%)
+ molecular gradient ... 0 min, 0.002 sec ( 48.964%)
+ printout ... 0 min, 0.000 sec ( 3.463%)
+
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: SUMMARY ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+ :: total energy -10.500828065933 Eh ::
+ :: gradient norm 0.000207649002 Eh/a0 ::
+ :: HOMO-LUMO gap 14.579112365988 eV ::
+ ::.................................................::
+ :: SCC energy -10.665045349979 Eh ::
+ :: -> isotropic ES 0.002528651431 Eh ::
+ :: -> anisotropic ES 0.003983113400 Eh ::
+ :: -> anisotropic XC 0.007221858086 Eh ::
+ :: -> dispersion -0.003957748634 Eh ::
+ :: repulsion energy 0.164215907898 Eh ::
+ :: add. restraining 0.000000000000 Eh ::
+ :: total charge 0.000000000000 e ::
+ :::::::::::::::::::::::::::::::::::::::::::::::::::::
+
+ -------------------------------------------------
+ | Property Printout |
+ -------------------------------------------------
+
+ * Orbital Energies and Occupations
+
+ # Occupation Energy/Eh Energy/eV
+ -------------------------------------------------------------
+ 1 2.0000 -0.6139733 -16.7071
+ 2 2.0000 -0.5841211 -15.8947
+ 3 2.0000 -0.5539146 -15.0728
+ 4 2.0000 -0.5076449 -13.8137
+ 5 2.0000 -0.4966410 -13.5143
+ 6 2.0000 -0.4754813 -12.9385
+ 7 2.0000 -0.4592433 -12.4966
+ 8 2.0000 -0.4372767 -11.8989
+ 9 2.0000 -0.4351047 -11.8398
+ 10 2.0000 -0.4239161 -11.5353 (HOMO)
+ 11 0.1118565 3.0438 (LUMO)
+ 12 0.1369565 3.7268
+ 13 0.1421186 3.8672
+ 14 0.1615191 4.3952
+ 15 0.1721476 4.6844
+ 16 0.2031947 5.5292
+ 17 0.2316279 6.3029
+ 18 0.2598538 7.0710
+ 19 0.2690539 7.3213
+ 20 0.3019726 8.2171
+ -------------------------------------------------------------
+ HL-Gap 0.5357725 Eh 14.5791 eV
+ Fermi-level -0.1560298 Eh -4.2458 eV
+
+ # Z covCN q C6AA α(0)
+ 1 6 C 3.752 -0.102 22.510 6.766
+ 2 6 C 3.799 -0.047 21.425 6.591
+ 3 6 C 3.752 -0.102 22.510 6.766
+ 4 1 H 0.925 0.034 2.536 2.490
+ 5 1 H 0.925 0.031 2.575 2.509
+ 6 1 H 0.925 0.034 2.536 2.490
+ 7 1 H 0.924 0.028 2.619 2.531
+ 8 1 H 0.924 0.028 2.619 2.531
+ 9 1 H 0.925 0.034 2.536 2.490
+ 10 1 H 0.925 0.034 2.536 2.490
+ 11 1 H 0.925 0.031 2.575 2.509
+
+ Mol. C6AA /au·bohr⁶ : 723.105058
+ Mol. C8AA /au·bohr⁸ : 14472.819828
+ Mol. α(0) /au : 40.162759
+
+
+Wiberg/Mayer (AO) data.
+largest (>0.10) Wiberg bond orders for each atom
+
+ ---------------------------------------------------------------------------
+ # Z sym total # sym WBO # sym WBO # sym WBO
+ ---------------------------------------------------------------------------
+ 1 6 C 3.997 -- 2 C 1.020 6 H 0.988 4 H 0.988
+ 5 H 0.988
+ 2 6 C 3.998 -- 3 C 1.020 1 C 1.020 7 H 0.980
+ 8 H 0.980
+ 3 6 C 3.997 -- 2 C 1.020 10 H 0.988 9 H 0.988
+ 11 H 0.988
+ 4 1 H 0.999 -- 1 C 0.988
+ 5 1 H 0.999 -- 1 C 0.988
+ 6 1 H 0.999 -- 1 C 0.988
+ 7 1 H 0.999 -- 2 C 0.980
+ 8 1 H 0.999 -- 2 C 0.980
+ 9 1 H 0.999 -- 3 C 0.988
+ 10 1 H 0.999 -- 3 C 0.988
+ 11 1 H 0.999 -- 3 C 0.988
+ ---------------------------------------------------------------------------
+
+
+molecular dipole:
+ x y z tot (Debye)
+ q only: 0.002 0.008 -0.001
+ full: 0.002 0.008 -0.001 0.022
+molecular quadrupole (traceless):
+ xx xy yy xz yz zz
+ q only: 0.082 -0.016 0.020 -0.014 -0.014 -0.103
+ q+dip: -0.632 0.159 -0.003 0.088 0.069 0.635
+ full: -0.283 0.071 -0.003 0.040 0.031 0.286
+
+ -------------------------------------------------
+ | Geometry Summary |
+ -------------------------------------------------
+
+ molecular mass/u : 44.0957337
+ center of mass at/Å : -0.0084579 -0.0379007 0.0054656
+ moments of inertia/u·Å² : 0.1719555E+02 0.5890379E+02 0.6669384E+02
+rotational constants/cm⁻¹ : 0.9803483E+00 0.2861893E+00 0.2527615E+00
+
+ * 10 selected distances
+
+ # Z # Z value/Å
+ 1 6 C 2 6 C 1.5237754 (max)
+ 2 6 C 3 6 C 1.5237752
+ 1 6 C 4 1 H 1.0880501
+ 1 6 C 5 1 H 1.0876612 (min)
+ 1 6 C 6 1 H 1.0880512
+ 2 6 C 7 1 H 1.0923587
+ 2 6 C 8 1 H 1.0923585
+ 3 6 C 9 1 H 1.0880513
+ 3 6 C 10 1 H 1.0880515
+ 3 6 C 11 1 H 1.0876616
+
+ * 2 distinct bonds (by element types)
+
+ Z Z # av. dist./Å max./Å min./Å
+ 1 H 6 C 8 1.0890305 1.0923587 1.0876612
+ 6 C 6 C 2 1.5237753 1.5237754 1.5237752
+
+
+optimized geometry written to: xtbopt.sdf
+
+
+ -------------------------------------------------
+ | TOTAL ENERGY -10.500828065933 Eh |
+ | GRADIENT NORM 0.000207649002 Eh/α |
+ | HOMO-LUMO GAP 14.579112365988 eV |
+ -------------------------------------------------
+
+------------------------------------------------------------------------
+ * finished run on 2022/07/27 at 14:05:02.907
+------------------------------------------------------------------------
+ total:
+ * wall-time: 0 d, 0 h, 0 min, 0.506 sec
+ * cpu-time: 0 d, 0 h, 0 min, 10.210 sec
+ * ratio c/w: 20.159 speedup
+ SCF:
+ * wall-time: 0 d, 0 h, 0 min, 0.126 sec
+ * cpu-time: 0 d, 0 h, 0 min, 2.633 sec
+ * ratio c/w: 20.855 speedup
+ ANC optimizer:
+ * wall-time: 0 d, 0 h, 0 min, 0.322 sec
+ * cpu-time: 0 d, 0 h, 0 min, 6.501 sec
+ * ratio c/w: 20.186 speedup
+
diff --git a/arkane/encorr/__init__.py b/arkane/encorr/__init__.py
index 048fb906d0c..18db3b6c71b 100644
--- a/arkane/encorr/__init__.py
+++ b/arkane/encorr/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/ae.py b/arkane/encorr/ae.py
index ecef89ae371..3759b8014fd 100644
--- a/arkane/encorr/ae.py
+++ b/arkane/encorr/ae.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/bac.py b/arkane/encorr/bac.py
index c511a9f47b4..79bc349ea6a 100644
--- a/arkane/encorr/bac.py
+++ b/arkane/encorr/bac.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -1092,10 +1092,13 @@ def get_confidence_intervals(x: np.ndarray,
weights = np.eye(n)
e = y - ypred # Residuals
- sigma2 = e.T @ weights @ e / (n - p) # MSE
+ dof = n - p
+ if dof <= 0:
+ return np.full(p, np.nan), np.full((p, p), np.nan)
+ sigma2 = e.T @ weights @ e / dof # MSE
cov = sigma2 * np.linalg.inv(x.T @ weights @ x) # covariance matrix
se = np.sqrt(np.diag(cov)) # standard error
- tdist = distributions.t.ppf(1 - alpha / 2, n - p) # student-t
+ tdist = distributions.t.ppf(1 - alpha / 2, dof) # student-t
ci = tdist * se # confidence interval half-width
return ci, cov
@@ -1103,6 +1106,7 @@ def get_confidence_intervals(x: np.ndarray,
def _covariance_to_correlation(cov: np.ndarray) -> np.ndarray:
"""Convert (unscaled) covariance matrix to correlation matrix"""
v = np.sqrt(np.diag(cov))
- corr = cov / np.outer(v, v)
+ with np.errstate(divide='ignore', invalid='ignore'):
+ corr = cov / np.outer(v, v)
corr[cov == 0] = 0
return corr
diff --git a/arkane/encorr/corr.py b/arkane/encorr/corr.py
index bcafaedd6ae..3171a4fe577 100644
--- a/arkane/encorr/corr.py
+++ b/arkane/encorr/corr.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/data.py b/arkane/encorr/data.py
index d96e2920482..1012d14b209 100644
--- a/arkane/encorr/data.py
+++ b/arkane/encorr/data.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/decomp.py b/arkane/encorr/decomp.py
index 339861d1c2c..ce0173f5299 100644
--- a/arkane/encorr/decomp.py
+++ b/arkane/encorr/decomp.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/isodesmic.py b/arkane/encorr/isodesmic.py
index f4f39d0d85d..8b4d997bc6b 100644
--- a/arkane/encorr/isodesmic.py
+++ b/arkane/encorr/isodesmic.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2024 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/encorr/reference.py b/arkane/encorr/reference.py
index 7be8e449efb..009618af08a 100644
--- a/arkane/encorr/reference.py
+++ b/arkane/encorr/reference.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/__init__.py b/arkane/ess/__init__.py
index ffd1e36bfba..9582e4ca5a2 100644
--- a/arkane/ess/__init__.py
+++ b/arkane/ess/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -39,3 +39,4 @@
from arkane.ess.psi4_parser import Psi4Log
from arkane.ess.qchem import QChemLog
from arkane.ess.terachem import TeraChemLog
+from arkane.ess.xtb import XTBLog
diff --git a/arkane/ess/adapter.py b/arkane/ess/adapter.py
index f0a30c932a2..bda429d440c 100644
--- a/arkane/ess/adapter.py
+++ b/arkane/ess/adapter.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/factory.py b/arkane/ess/factory.py
index ca0baee26c6..d40d95625c9 100644
--- a/arkane/ess/factory.py
+++ b/arkane/ess/factory.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -102,9 +102,12 @@ def ess_factory(fullpath: str,
elif 'terachem' in line:
ess_name = 'TeraChemLog'
break
+ elif 'x t b' in line or 'xtb version' in line:
+ ess_name = 'XTBLog'
+ break
line = f.readline().lower()
if ess_name is None:
raise InputError(f'The file at {fullpath} could not be identified as a '
- f'Gaussian, Molpro, Orca, Psi4, QChem, or TeraChem log file.')
+ f'Gaussian, Molpro, Orca, Psi4, QChem, TeraChem, or xTB log file.')
return _registered_ess_adapters[ess_name](path=fullpath, check_for_errors=check_for_errors, scratch_directory=scratch_directory)
diff --git a/arkane/ess/gaussian.py b/arkane/ess/gaussian.py
index 19d5ba94455..78931f1ec4d 100644
--- a/arkane/ess/gaussian.py
+++ b/arkane/ess/gaussian.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -123,6 +123,24 @@ def get_number_of_atoms(self):
return n_atoms
+ def load_route_section(self):
+ """
+ Return the route section of the Gaussian log file as a string. The route
+ section is the line in the Gaussian input/output file that starts with "#"
+ If there are multiple lines that start with # it returns the first.
+ """
+ route = ''
+ with open(self.path, 'r') as f:
+ line = f.readline()
+ while line != '':
+ line = line.strip()
+ if line.startswith('#'):
+ route = line
+ break
+ line = f.readline()
+
+ return route
+
def load_force_constant_matrix(self):
"""
Return the force constant matrix from the Gaussian log file. The job
@@ -132,15 +150,26 @@ def load_force_constant_matrix(self):
only the last is returned. The units of the returned force constants
are J/m^2. If no force constant matrix can be found in the log file,
``None`` is returned.
+ Also checks that the force constant matrix was computed using the correct
+ (input orientation Cartesian) coordinates.
+ IOP(2/9=2000) must be specified for large cases (14+ atoms), but only
+ if an optimization was also performed. A frequency calculation by itself
+ will keep the input orientation.
"""
force = None
+ iop2_9_equals_2000 = False
+ optimization_performed = 'opt' in self.load_route_section().lower()
+
n_atoms = self.get_number_of_atoms()
n_rows = n_atoms * 3
with open(self.path, 'r') as f:
line = f.readline()
while line != '':
+ if '2/9=2000' in line:
+ iop2_9_equals_2000 = True
+
# Read force constant matrix
if 'Force constants in Cartesian coordinates:' in line:
force = np.zeros((n_rows, n_rows), float)
@@ -157,6 +186,11 @@ def load_force_constant_matrix(self):
force *= 4.35974417e-18 / 5.291772108e-11 ** 2
line = f.readline()
+ if optimization_performed and n_atoms > 13 and not iop2_9_equals_2000:
+ raise LogError(f'Gaussian optimization file {self.path} contains more than 13 atoms. '
+ f'Please add the `iop(2/9=2000)` keyword to your input file '
+ f'so Gaussian will compute force matrix using the input orientation Cartesians.')
+
return force
def load_geometry(self):
@@ -166,7 +200,7 @@ def load_geometry(self):
last is returned.
"""
number, coord, mass = [], [], []
-
+
with open(self.path, 'r') as f:
line = f.readline()
while line != '':
diff --git a/arkane/ess/molpro.py b/arkane/ess/molpro.py
index e94093fcd15..0433b459c12 100644
--- a/arkane/ess/molpro.py
+++ b/arkane/ess/molpro.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/orca.py b/arkane/ess/orca.py
index a97b78fe44b..73b29344a6b 100644
--- a/arkane/ess/orca.py
+++ b/arkane/ess/orca.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -116,7 +116,7 @@ def load_force_constant_matrix(self):
for (_, _, files) in os.walk(os.path.dirname(self.path)):
for file_ in files:
if file_.endswith('.hess'):
- hess_files.append(file_)
+ hess_files.append(os.path.join(os.path.dirname(self.path), file_))
break
if len(hess_files) == 1:
hess_file = hess_files[0]
diff --git a/arkane/ess/psi4_parser.py b/arkane/ess/psi4_parser.py
index 2a995bad1ed..af1215f0d92 100644
--- a/arkane/ess/psi4_parser.py
+++ b/arkane/ess/psi4_parser.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/qchem.py b/arkane/ess/qchem.py
index 0dec05a40cd..64e6dcf489a 100644
--- a/arkane/ess/qchem.py
+++ b/arkane/ess/qchem.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/terachem.py b/arkane/ess/terachem.py
index cae46b4e685..63720f76c14 100644
--- a/arkane/ess/terachem.py
+++ b/arkane/ess/terachem.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/ess/xtb.py b/arkane/ess/xtb.py
new file mode 100644
index 00000000000..3bf006360b6
--- /dev/null
+++ b/arkane/ess/xtb.py
@@ -0,0 +1,347 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+Arkane ESS adapter for xTB (extended Tight Binding) output files.
+Supports geometry (V2000 and $coord/Turbomol formats), energy, frequencies,
+ZPE, and conformer loading.
+"""
+
+import logging
+import re
+
+import numpy as np
+
+import rmgpy.constants as constants
+from rmgpy.statmech import (
+ Conformer,
+ HarmonicOscillator,
+ IdealGasTranslation,
+ LinearRotor,
+ NonlinearRotor,
+)
+
+from arkane.common import (
+ get_element_mass,
+ get_principal_moments_of_inertia,
+ symbol_by_number,
+)
+from arkane.exceptions import LogError
+from arkane.ess.adapter import ESSAdapter
+from arkane.ess.factory import register_ess_adapter
+
+logger = logging.getLogger(__name__)
+
+BOHR_TO_ANGSTROM = constants.a0 * 1e10 # ~0.52918 Angstrom
+INERTIA_ZERO_TOL = 1e-4 # amu*angstrom^2
+
+
+def _normalize_symbol(raw: str) -> str:
+ """Normalize an element symbol from xTB output (e.g. 'c' -> 'C', 'cl' -> 'Cl')."""
+ if len(raw) == 1:
+ return raw.upper()
+ return raw[0].upper() + raw[1:].lower()
+
+
+class XTBLog(ESSAdapter):
+ """
+ Arkane ESS adapter for xTB output files.
+
+ Parses output from the xtb program (https://github.com/grimme-lab/xtb),
+ including geometry, electronic energy, vibrational frequencies, and
+ thermochemical data.
+
+ Supported geometry formats:
+ - V2000 (SDF/Molfile) block from ``--opt`` outputs
+ - Turbomol ``$coord`` block (Bohr) from ``--opt`` outputs
+ Frequency-only (``--hess``) outputs do not embed a geometry.
+ """
+
+ def check_for_errors(self):
+ """Check for common xTB errors in the output file."""
+ with open(self.path, 'r') as f:
+ for line in f:
+ if 'ERROR' in line and 'SETUP' not in line:
+ raise LogError(f'xTB error found in {self.path}: {line.strip()}')
+ if 'abnormal termination' in line.lower():
+ raise LogError(f'xTB job terminated abnormally in {self.path}')
+
+ def get_number_of_atoms(self) -> int:
+ """
+ Return the number of atoms from the xTB output.
+
+ Tries the explicit 'number of atoms' line first, then falls
+ back to counting atoms in the geometry block.
+ """
+ with open(self.path, 'r') as f:
+ for line in f:
+ if 'number of atoms' in line:
+ return int(line.split()[-1])
+ try:
+ coord, _, _ = self.load_geometry()
+ return len(coord)
+ except LogError:
+ pass
+ raise LogError(f'Could not determine the number of atoms in {self.path}')
+
+ def load_geometry(self):
+ """
+ Load the molecular geometry from the xTB output file.
+
+ Supports two formats found in xTB ``--opt`` outputs:
+ - **V2000 (SDF/Molfile)**: Cartesian coordinates in Angstroms.
+ - **Turbomol ``$coord``**: Cartesian coordinates in Bohr (converted to Angstroms).
+
+ Frequency-only (``--hess``) outputs do not embed a geometry and will raise.
+
+ Returns:
+ Tuple of (coord, number, mass):
+ coord: np.ndarray (n, 3) in Angstroms
+ number: np.ndarray (n,) atomic numbers
+ mass: np.ndarray (n,) atomic masses in amu
+ """
+ with open(self.path, 'r') as f:
+ lines = f.readlines()
+ coord, number, mass = self._parse_v2000(lines)
+ if not coord:
+ coord, number, mass = self._parse_turbomol_coord(lines)
+ if not coord:
+ raise LogError(f'Could not find geometry in {self.path}')
+ return (np.array(coord, dtype=np.float64),
+ np.array(number, dtype=int),
+ np.array(mass, dtype=np.float64))
+
+ @staticmethod
+ def _parse_v2000(lines):
+ """Parse V2000 (SDF/Molfile) geometry block. Returns (coord, number, mass) or empty lists."""
+ coord, number, mass = [], [], []
+ for i, line in enumerate(lines):
+ if 'V2000' in line:
+ n_atoms = int(line.split()[0])
+ coord, number, mass = [], [], []
+ for j in range(i + 1, i + 1 + n_atoms):
+ tokens = lines[j].split()
+ x, y, z = float(tokens[0]), float(tokens[1]), float(tokens[2])
+ symbol = tokens[3]
+ coord.append([x, y, z])
+ mass_i, num_i = get_element_mass(symbol)
+ number.append(num_i)
+ mass.append(mass_i)
+ return coord, number, mass
+
+ @staticmethod
+ def _parse_turbomol_coord(lines):
+ """Parse Turbomol $coord block (Bohr). Converts to Angstroms."""
+ coord, number, mass = [], [], []
+ in_coord = False
+ for line in lines:
+ stripped = line.strip()
+ if stripped == '$coord':
+ in_coord = True
+ coord, number, mass = [], [], []
+ continue
+ if in_coord:
+ if stripped.startswith('$'):
+ break
+ tokens = stripped.split()
+ if len(tokens) >= 4:
+ try:
+ x = float(tokens[0]) * BOHR_TO_ANGSTROM
+ y = float(tokens[1]) * BOHR_TO_ANGSTROM
+ z = float(tokens[2]) * BOHR_TO_ANGSTROM
+ symbol = _normalize_symbol(tokens[3])
+ coord.append([x, y, z])
+ mass_i, num_i = get_element_mass(symbol)
+ number.append(num_i)
+ mass.append(mass_i)
+ except (ValueError, KeyError):
+ break
+ return coord, number, mass
+
+ def load_energy(self, zpe_scale_factor=1.):
+ """
+ Load the electronic energy in J/mol from the xTB output.
+
+ Returns the last ``total energy`` value found. The zero-point energy
+ is NOT included.
+ """
+ e_elect = None
+ with open(self.path, 'r') as f:
+ for line in f:
+ if ':: total energy' in line:
+ match = re.search(r'(-?\d+\.\d+)\s+Eh', line)
+ if match:
+ e_elect = float(match.group(1))
+ elif 'TOTAL ENERGY' in line and 'Eh' in line:
+ match = re.search(r'(-?\d+\.\d+)\s+Eh', line)
+ if match:
+ e_elect = float(match.group(1))
+ if e_elect is None:
+ raise LogError(f'Unable to find energy in xTB output file {self.path}')
+ return e_elect * constants.E_h * constants.Na
+
+ def load_zero_point_energy(self):
+ """
+ Load the zero-point energy in J/mol from the xTB output.
+ Only available in frequency (``--hess``) calculations.
+ """
+ zpe = None
+ with open(self.path, 'r') as f:
+ for line in f:
+ if ':: zero point energy' in line or 'zero-point vibrational energy' in line.lower():
+ match = re.search(r'(\d+\.\d+)\s+Eh', line)
+ if match:
+ zpe = float(match.group(1))
+ if zpe is None:
+ raise LogError(f'Unable to find zero-point energy in xTB output file {self.path}')
+ return zpe * constants.E_h * constants.Na
+
+ def _load_all_frequencies(self):
+ """
+ Load ALL vibrational frequencies from the last eigval block in the xTB output,
+ including near-zero (translational/rotational) and negative (imaginary) modes.
+
+ xTB prints frequencies twice (after Hessian and in Frequency Printout).
+ Returns the last complete set.
+ """
+ all_blocks, current_block = [], []
+ with open(self.path, 'r') as f:
+ for line in f:
+ if line.strip().startswith('eigval :'):
+ values = line.split(':')[1].split()
+ current_block.extend(float(v) for v in values)
+ elif current_block and not line.strip().startswith('eigval'):
+ all_blocks.append(current_block)
+ current_block = []
+ if current_block:
+ all_blocks.append(current_block)
+ return all_blocks[-1] if all_blocks else []
+
+ def _load_frequencies(self):
+ """
+ Load positive (real) vibrational frequencies in cm^-1.
+ Filters out translational/rotational modes (near-zero) and imaginary (negative).
+ """
+ return [f for f in self._load_all_frequencies() if f > 0.1]
+
+ def _load_spin_multiplicity(self):
+ """
+ Determine spin multiplicity from the xTB output.
+
+ xTB reports ``spin`` as S (not 2S+1), so multiplicity = 2*S + 1.
+ Some xTB versions use ``--uhf N`` where N = number of unpaired electrons.
+ Default to singlet.
+ """
+ with open(self.path, 'r') as f:
+ for line in f:
+ # Format: " spin : 0.5"
+ if 'spin' in line:
+ parts = line.split()
+ if parts and parts[0] == 'spin':
+ s = float(parts[-1])
+ return int(2 * s + 1)
+ # Also check for unpaired electrons in setup block
+ if 'unpaired' in line and ':' in line:
+ parts = line.split(':')
+ try:
+ n_unpaired = int(parts[-1].strip())
+ return n_unpaired + 1
+ except ValueError:
+ pass
+ return 1
+
+ def load_conformer(self, symmetry=None, spin_multiplicity=0, optical_isomers=None, label=''):
+ """
+ Load the molecular degree of freedom data from an xTB output file.
+
+ Requires geometry to be available in the log file (optimization outputs).
+ For frequency-only outputs, geometry must be loaded from a separate file.
+
+ Returns:
+ Tuple of (Conformer, unscaled_frequencies).
+ """
+ if optical_isomers is None or symmetry is None:
+ _optical_isomers, _symmetry, _ = self.get_symmetry_properties()
+ if optical_isomers is None:
+ optical_isomers = _optical_isomers
+ if symmetry is None:
+ symmetry = _symmetry
+
+ if spin_multiplicity == 0:
+ spin_multiplicity = self._load_spin_multiplicity()
+
+ unscaled_frequencies = self._load_frequencies()
+ modes = []
+
+ # Translation
+ coord, number, mass = self.load_geometry()
+ modes.append(IdealGasTranslation(mass=(sum(mass), "amu")))
+
+ # Rotation — use tolerance for linear molecule detection
+ symbols = [symbol_by_number[i] for i in number]
+ inertia = list(get_principal_moments_of_inertia(coord, numbers=number, symbols=symbols)[0])
+ if inertia and not all(abs(i) < INERTIA_ZERO_TOL for i in inertia):
+ nonzero = [i for i in inertia if abs(i) >= INERTIA_ZERO_TOL]
+ if len(nonzero) < len(inertia):
+ # Linear molecule: one or more moments are ~zero
+ modes.append(LinearRotor(inertia=(max(nonzero), "amu*angstrom^2"), symmetry=symmetry))
+ else:
+ modes.append(NonlinearRotor(inertia=(nonzero, "amu*angstrom^2"), symmetry=symmetry))
+
+ # Vibration
+ if unscaled_frequencies:
+ modes.append(HarmonicOscillator(frequencies=(unscaled_frequencies, "cm^-1")))
+
+ return Conformer(E0=(0.0, "kJ/mol"),
+ modes=modes,
+ spin_multiplicity=spin_multiplicity,
+ optical_isomers=optical_isomers), unscaled_frequencies
+
+ def load_negative_frequency(self):
+ """Load the first imaginary (negative) frequency in cm^-1 for a transition state."""
+ neg_freqs = [f for f in self._load_all_frequencies() if f < -0.1]
+ if not neg_freqs:
+ raise LogError(f'No imaginary frequencies found in {self.path}')
+ return neg_freqs[0]
+
+ def load_force_constant_matrix(self):
+ """xTB writes a separate hessian file; not parsed from the main output."""
+ return None
+
+ def load_scan_energies(self):
+ raise NotImplementedError('Rotor scans are not supported by the xTB adapter.')
+
+ def load_scan_pivot_atoms(self):
+ raise NotImplementedError('Rotor scans are not supported by the xTB adapter.')
+
+ def load_scan_frozen_atoms(self):
+ raise NotImplementedError('Rotor scans are not supported by the xTB adapter.')
+
+
+register_ess_adapter('XTBLog', XTBLog)
diff --git a/arkane/exceptions.py b/arkane/exceptions.py
index 6c26bbc10b5..a0dc887abbc 100644
--- a/arkane/exceptions.py
+++ b/arkane/exceptions.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/explorer.py b/arkane/explorer.py
index 0f2cd4ac271..e6f71b4c475 100644
--- a/arkane/explorer.py
+++ b/arkane/explorer.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/input.py b/arkane/input.py
index 2e7788b46d1..a675072ba14 100644
--- a/arkane/input.py
+++ b/arkane/input.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -186,6 +186,8 @@ def species(label, *args, **kwargs):
raise TypeError('species() got an unexpected keyword argument {0!r}.'.format(key))
if structure:
+ if spin_multiplicity:
+ structure.multiplicity = spin_multiplicity
spec.molecule = [structure]
spec.conformer = Conformer(E0=E0, modes=modes, spin_multiplicity=spin_multiplicity,
optical_isomers=optical_isomers)
diff --git a/arkane/kinetics.py b/arkane/kinetics.py
index 6b2ffcdffff..1b872219373 100644
--- a/arkane/kinetics.py
+++ b/arkane/kinetics.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/main.py b/arkane/main.py
index 9526b6e75c0..76f9d733b02 100644
--- a/arkane/main.py
+++ b/arkane/main.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -188,9 +188,17 @@ def execute(self):
pass
chemkin_file = os.path.join(self.output_directory, 'chem.inp')
+ # Collect elements used by any species with a known structure so the
+ # ELEMENTS block lists only what's actually present.
+ elements_in_use = set()
+ for job in self.job_list:
+ if isinstance(job, ThermoJob) and job.species.molecule:
+ for atom in job.species.molecule[0].atoms:
+ elements_in_use.add(atom.element)
+
# write the chemkin files and run the thermo and then kinetics jobs
with open(chemkin_file, 'w') as f:
- write_elements_section(f)
+ write_elements_section(f, elements_in_use)
f.write('SPECIES\n\n')
diff --git a/arkane/modelchem.py b/arkane/modelchem.py
index 33d261ecac4..21031ee4b85 100644
--- a/arkane/modelchem.py
+++ b/arkane/modelchem.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -285,7 +285,8 @@ def str_to_lot(s: str) -> Union[LevelOfTheory, CompositeLevelOfTheory]:
'orca': ('orca',),
'terachem': ('terachem',),
'mopac': ('mopac',),
- 'psi4': ('psi4',)
+ 'psi4': ('psi4',),
+ 'xtb': ('xtb',)
}
_software_ids = {_name: _id for _id, _names in _valid_software_names.items() for _name in _names}
diff --git a/arkane/output.py b/arkane/output.py
index 7657834c004..d230cd8c75e 100644
--- a/arkane/output.py
+++ b/arkane/output.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -56,6 +56,20 @@ def __init__(self, level=0, indent=4):
self.level = level
self.indent = indent
+ @staticmethod
+ def _is_string(node):
+ return isinstance(node, ast.Constant) and isinstance(node.value, str)
+
+ @staticmethod
+ def _is_number(node):
+ return isinstance(node, ast.Constant) and isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool)
+
+ @classmethod
+ def _is_simple_constant(cls, node):
+ return cls._is_string(node) or cls._is_number(node) or (
+ isinstance(node, ast.Constant) and isinstance(node.value, bool)
+ )
+
def visit_Call(self, node):
"""
Return a pretty representation of the class or function call represented by `node`.
@@ -84,7 +98,7 @@ def visit_List(self, node):
"""
Return a pretty representation of the list represented by `node`.
"""
- if any([not isinstance(e, (ast.Str, ast.Num, ast.UnaryOp)) for e in node.elts]):
+ if any([not (self._is_simple_constant(e) or isinstance(e, ast.UnaryOp)) for e in node.elts]):
# Split elements onto multiple lines
result = '[\n'
self.level += 1
@@ -105,11 +119,11 @@ def visit_Tuple(self, node):
"""
# If the tuple represents a quantity, keep it on one line
is_quantity = True
- if len(node.elts) == 0 or not isinstance(node.elts[0], (ast.Num, ast.List)) or (
+ if len(node.elts) == 0 or not (self._is_number(node.elts[0]) or isinstance(node.elts[0], ast.List)) or (
isinstance(node.elts[0], ast.List) and
- any([not isinstance(e, (ast.Num, ast.UnaryOp)) for e in node.elts[0].elts])):
+ any([not (self._is_number(e) or isinstance(e, ast.UnaryOp)) for e in node.elts[0].elts])):
is_quantity = False
- elif len(node.elts) < 2 or not isinstance(node.elts[1], ast.Str):
+ elif len(node.elts) < 2 or not self._is_string(node.elts[1]):
is_quantity = False
if not is_quantity:
@@ -131,8 +145,8 @@ def visit_Dict(self, node):
"""
Return a pretty representation of the dict represented by `node`.
"""
- if (any([not isinstance(e, (ast.Str, ast.Num)) for e in node.keys])
- or any([not isinstance(e, (ast.Str, ast.Num)) for e in node.values])):
+ if (any([not self._is_simple_constant(e) for e in node.keys])
+ or any([not self._is_simple_constant(e) for e in node.values])):
# Split elements onto multiple lines
result = '{\n'
self.level += 1
@@ -149,20 +163,18 @@ def visit_Dict(self, node):
self.string = result
return result
- def visit_Str(self, node):
- """
- Return a pretty representation of the string represented by `node`.
- """
- result = repr(node.s)
- self.string = result
- return result
-
- def visit_Num(self, node):
+ def visit_Constant(self, node):
"""
- Return a pretty representation of the number represented by `node`.
+ Return a pretty representation of the constant represented by `node`.
"""
- result = '{0:g}'.format(node.n)
- # result = repr(node.n)
+ if isinstance(node.value, str):
+ result = repr(node.value)
+ elif isinstance(node.value, bool):
+ result = repr(node.value)
+ elif isinstance(node.value, (int, float, complex)) and not isinstance(node.value, bool):
+ result = '{0:g}'.format(node.value)
+ else:
+ return None
self.string = result
return result
diff --git a/arkane/pdep.py b/arkane/pdep.py
index 60fb0fd05d5..f5a9607fb65 100644
--- a/arkane/pdep.py
+++ b/arkane/pdep.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -132,9 +132,11 @@ def __init__(self, network,
if Tlist is not None:
self.Tlist = Tlist
- self.Tmin = (np.min(self.Tlist.value_si), "K")
- self.Tmax = (np.max(self.Tlist.value_si), "K")
self.Tcount = len(self.Tlist.value_si)
+ if self.Tmin is None:
+ self.Tmin = (np.min(self.Tlist.value_si), "K")
+ if self.Tmax is None:
+ self.Tmax = (np.max(self.Tlist.value_si), "K")
else:
self.Tlist = None
@@ -143,9 +145,11 @@ def __init__(self, network,
self.Pcount = Pcount
if Plist is not None:
self.Plist = Plist
- self.Pmin = (np.min(self.Plist.value_si) * 1e-5, "bar")
- self.Pmax = (np.max(self.Plist.value_si) * 1e-5, "bar")
self.Pcount = len(self.Plist.value_si)
+ if self.Pmin is None:
+ self.Pmin = (np.min(self.Plist.value_si) * 1e-5, "bar")
+ if self.Pmax is None:
+ self.Pmax = (np.max(self.Plist.value_si) * 1e-5, "bar")
else:
self.Plist = None
@@ -618,7 +622,7 @@ def plot(self, output_directory):
plt.savefig(os.path.join(output_directory, 'plots', 'kinetics_{0:d}.pdf'.format(count)))
plt.close()
- def draw(self, output_directory, file_format='pdf'):
+ def draw(self, output_directory, file_format='pdf', filename_stem='network'):
"""
Generate a PDF drawing of the pressure-dependent reaction network.
This requires that Cairo and its Python wrapper be available; if not,
@@ -626,6 +630,10 @@ def draw(self, output_directory, file_format='pdf'):
You may also generate different formats of drawings, by changing format to
one of the following: `pdf`, `svg`, `png`.
+
+ The default filename stem is 'network', which will result in a file
+ named 'network.pdf' in the specified output directory. You can change
+ this by passing a different `filename_stem` argument.
"""
# Skip this step if cairo is not installed
@@ -639,7 +647,7 @@ def draw(self, output_directory, file_format='pdf'):
from rmgpy.pdep.draw import NetworkDrawer
- path = os.path.join(output_directory, 'network.' + file_format)
+ path = os.path.join(output_directory, f'{filename_stem}.{file_format}')
NetworkDrawer().draw(self.network, file_format=file_format, path=path)
@@ -695,7 +703,10 @@ def save_input_file(self, path):
f.write(' label = {0!r},\n'.format(ts.label))
if ts.conformer is not None:
if ts.conformer.E0 is not None:
- f.write(' E0 = {0!r},\n'.format(ts.conformer.E0))
+ if self.network.energy_correction:
+ f.write(f' E0 = ({ts.conformer.E0.value_si * 0.001:.3f} - {self.network.energy_correction * 0.001:.3f}, "kJ/mol"), # removing the applied energy_correction\n')
+ else:
+ f.write(' E0 = {0!r},\n'.format(ts.conformer.E0))
if len(ts.conformer.modes) > 0:
f.write(' modes = [\n')
for mode in ts.conformer.modes:
diff --git a/arkane/sensitivity.py b/arkane/sensitivity.py
index 35d7a50645f..126f74d91f5 100644
--- a/arkane/sensitivity.py
+++ b/arkane/sensitivity.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/arkane/statmech.py b/arkane/statmech.py
index af82a045bb8..f212e7cc1dc 100644
--- a/arkane/statmech.py
+++ b/arkane/statmech.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -57,7 +57,7 @@
from arkane.common import ArkaneSpecies, symbol_by_number, get_principal_moments_of_inertia
from arkane.encorr.corr import get_atom_correction, get_bac
-from arkane.ess import ESSAdapter, ess_factory, _registered_ess_adapters, GaussianLog, QChemLog
+from arkane.ess import ESSAdapter, ess_factory, _registered_ess_adapters, GaussianLog, QChemLog, XTBLog
from arkane.encorr.isodesmic import ErrorCancelingSpecies, IsodesmicRingScheme
from arkane.modelchem import LevelOfTheory, CompositeLevelOfTheory, standardize_name
from arkane.output import prettify
@@ -506,10 +506,21 @@ def create_log(log_path, check_for_errors=True):
self.species.label))
logging.debug(' Reading molecular degrees of freedom...')
- conformer, unscaled_frequencies = statmech_log.load_conformer(symmetry=external_symmetry,
+ if isinstance(statmech_log, XTBLog):
+ # XTB frequencies log does not contain geometry information, so read the geometry from the geometry log
+ # frequencies from the frequencies log and combine them to create the conformer object
+ conformer, unscaled_frequencies = geom_log.load_conformer(symmetry=external_symmetry,
spin_multiplicity=spin_multiplicity,
optical_isomers=optical_isomers,
label=self.species.label)
+ unscaled_frequencies = statmech_log._load_frequencies()
+ if unscaled_frequencies:
+ conformer.modes.append(HarmonicOscillator(frequencies=(unscaled_frequencies, "cm^-1")))
+ else:
+ conformer, unscaled_frequencies = statmech_log.load_conformer(symmetry=external_symmetry,
+ spin_multiplicity=spin_multiplicity,
+ optical_isomers=optical_isomers,
+ label=self.species.label)
for mode in conformer.modes:
if isinstance(mode, (Translation, IdealGasTranslation)):
@@ -695,7 +706,10 @@ def create_log(log_path, check_for_errors=True):
# save supporting information for calculation
self.supporting_info = [self.species.label]
- optical_isomers_read, symmetry_read, point_group_read = statmech_log.get_symmetry_properties()
+ if isinstance(statmech_log, XTBLog):
+ optical_isomers_read, symmetry_read, point_group_read = geom_log.get_symmetry_properties()
+ else:
+ optical_isomers_read, symmetry_read, point_group_read = statmech_log.get_symmetry_properties()
self.supporting_info.append(external_symmetry if external_symmetry else symmetry_read)
self.supporting_info.append(optical_isomers if optical_isomers else optical_isomers_read)
self.supporting_info.append(point_group_read)
@@ -1078,45 +1092,33 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_
d[3 * i + 2, 5] = (p[i, 0] * inertia_xyz[2, 1] - p[i, 1] * inertia_xyz[2, 0]) * amass[i]
# Make sure projection matrix is orthonormal
+ p = np.hstack((d, np.identity(n_atoms * 3, float)))
- inertia = np.identity(n_atoms * 3, float)
+ # Compute the QR decomposition in reduced mode
+ Q, R = np.linalg.qr(p, mode='reduced')
- p = np.zeros((n_atoms * 3, 3 * n_atoms + external), float)
+ # Verify that Q has orthonormal columns:
+ if np.isclose(np.dot(Q.T, Q), np.eye(Q.shape[1])).all():
+ logging.debug("Q has orthonormal columns")
+ else:
+ logging.warning("Q does not have orthonormal columns")
+ # Verify the reconstruction
+ reconstructed_p = Q @ R
+ if np.isclose(p, reconstructed_p).all():
+ logging.debug("Reconstruction of projection matrix is correct")
+ else:
+ logging.warning("Reconstruction of projection matrix is incorrect")
- p[:, 0:external] = d[:, 0:external]
- p[:, external:external + 3 * n_atoms] = inertia[:, 0:3 * n_atoms]
+ # Check for nearly zero columns in the QR decomposition
+ for i, rkk in enumerate(R.diagonal()):
+ if abs(rkk) < 1E-15:
+ logging.warning(f'Column {i} of the QR decomposition is nearly zero, could lose a basis')
- for i in range(3 * n_atoms + external):
- norm = 0.0
- for j in range(3 * n_atoms):
- norm += p[j, i] * p[j, i]
- for j in range(3 * n_atoms):
- if norm > 1E-15:
- p[j, i] /= np.sqrt(norm)
- else:
- p[j, i] = 0.0
- for j in range(i + 1, 3 * n_atoms + external):
- proj = 0.0
- for k in range(3 * n_atoms):
- proj += p[k, i] * p[k, j]
- for k in range(3 * n_atoms):
- p[k, j] -= proj * p[k, i]
-
- # Order p, there will be vectors that are 0.0
- i = 0
- while i < 3 * n_atoms:
- norm = 0.0
- for j in range(3 * n_atoms):
- norm += p[j, i] * p[j, i]
- if norm < 0.5:
- p[:, i:3 * n_atoms + external - 1] = p[:, i + 1:3 * n_atoms + external]
- else:
- i += 1
# T is the transformation vector from cartesian to internal coordinates
T = np.zeros((n_atoms * 3, 3 * n_atoms - external), float)
- T[:, 0:3 * n_atoms - external] = p[:, external:3 * n_atoms]
+ T[:, :] = Q[:, external:3 * n_atoms]
# Generate mass-weighted force constant matrix
# This converts the axes to mass-weighted Cartesian axes
@@ -1210,32 +1212,28 @@ def project_rotors(conformer, hessian, rotors, linear, is_ts, get_projected_out_
d_int[j, i] += d_int_proj[k, i] * vmw[j, k]
# Ortho normalize
- for i in range(n_rotors):
- norm = 0.0
- for j in range(3 * n_atoms):
- norm += d_int[j, i] * d_int[j, i]
- for j in range(3 * n_atoms):
- d_int[j, i] /= np.sqrt(norm)
- for j in range(i + 1, n_rotors):
- proj = 0.0
- for k in range(3 * n_atoms):
- proj += d_int[k, i] * d_int[k, j]
- for k in range(3 * n_atoms):
- d_int[k, j] -= proj * d_int[k, i]
+ # Here, Q will have orthonormal columns, and R is the triangular factor.
+ Q, R = np.linalg.qr(d_int, mode='reduced')
+ # replace d_int with its orthonormalized version:
+ d_int = Q
# calculate the frequencies corresponding to the internal rotors
int_proj = np.dot(fm, d_int)
kmus = np.array([np.linalg.norm(int_proj[:, i]) for i in range(int_proj.shape[1])])
int_rotor_freqs = np.sqrt(kmus) / (2.0 * math.pi * constants.c * 100.0)
+ logging.debug('Frequencies from internal rotors:')
+ for i in range(n_rotors):
+ logging.debug(' rotor %d: %.6f cm^-1', i, int_rotor_freqs[i])
+
if get_projected_out_freqs:
return int_rotor_freqs
# Do the projection
d_int_proj = np.dot(vmw.T, d_int)
proj = np.dot(d_int, d_int.T)
- inertia = np.identity(n_atoms * 3, float)
- proj = inertia - proj
+ identity = np.identity(n_atoms * 3, float)
+ proj = identity - proj
fm = np.dot(proj, np.dot(fm, proj))
# Get eigenvalues of mass-weighted force constant matrix
eig, v = np.linalg.eigh(fm)
diff --git a/arkane/thermo.py b/arkane/thermo.py
index a5fe0b4e6a5..abbc1d7e287 100644
--- a/arkane/thermo.py
+++ b/arkane/thermo.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/documentation/source/users/rmg/input.rst b/documentation/source/users/rmg/input.rst
index 1106f3a341f..16dc4ffce5f 100644
--- a/documentation/source/users/rmg/input.rst
+++ b/documentation/source/users/rmg/input.rst
@@ -204,17 +204,92 @@ The last section is specifying that RMG is estimating kinetics of reactions from
kineticsEstimator = 'rate rules'
-The following is an example of a database block, based on above chosen libraries and options::
+.. _auto_library_selection:
+
+Automatic Library and Family Selection
+--------------------------------------
+Instead of manually listing every library, you can let RMG choose the appropriate
+thermo libraries, kinetics libraries, transport libraries, seed mechanisms, and
+kinetics families automatically based on the species and reactor conditions in your
+input file. Use the ``'auto'`` keyword in any library field::
database(
- thermoLibraries = ['primaryThermoLibrary', 'GRI-Mech3.0'],
- reactionLibraries = [('Glarborg/C3',False)],
- seedMechanisms = ['GRI-Mech3.0'],
+ thermoLibraries = 'auto',
+ reactionLibraries = 'auto',
+ transportLibraries = 'auto',
+ seedMechanisms = 'auto',
+ kineticsFamilies = 'auto',
kineticsDepositories = ['training'],
- kineticsFamilies = 'defult',
kineticsEstimator = 'rate rules',
)
+When ``'auto'`` is specified, RMG analyzes the initial species and reactor
+conditions to detect the chemistry present (e.g., nitrogen, sulfur, oxygen,
+halogens, surface, liquid phase) and selects the relevant library sets.
+The triggered sets and their corresponding libraries are logged at the start
+of the RMG run.
+
+.. note::
+ Non-reactive species (those declared with ``reactive=False``, such as bath
+ gases) are skipped during chemistry detection and will not trigger any
+ chemistry sets on their own. For example, using N\ :sub:`2` purely as a
+ bath gas will not pull in the nitrogen library — the nitrogen set is
+ triggered only when a reactive species containing nitrogen is present.
+
+**Mixing manual and auto selection.** You can combine user-specified libraries
+with ``'auto'`` in a list. The position of ``'auto'`` controls the priority:
+libraries before it have higher priority, libraries after it have lower::
+
+ thermoLibraries = ['myCustomLib', 'auto']
+
+ thermoLibraries = ['auto', 'myFallbackLib']
+
+If a library you listed manually also appears in the auto-selected set, it will
+not be added twice. It keeps the position you gave it, and the auto-selected
+copy is skipped.
+
+**PAH libraries and the ```` keyword.**
+The auto-selection splits high-temperature C/H chemistry into two tiers:
+
+* **CH_pyrolysis_core** — fundamental high-T radical and small-molecule chemistry
+ (e.g., acetylene initiation, alkane cracking). Always included when carbon is
+ present and the maximum reactor temperature is at least 800 K.
+* **PAH_formation** — aromatic ring formation, naphthalene pathways (CPD + HACA),
+ and larger PAH growth. This is a large set (~70 kinetics libraries) that can
+ significantly increase model size and generation time.
+
+For **pure C/H pyrolysis** (no oxygen in any input species), both tiers are
+included automatically — PAH formation is expected in such systems.
+
+For **oxygenated systems** (any species contains O, including oxygenated fuels
+like ethanol or DME), only CH_pyrolysis_core is included by default because
+PAH chemistry is typically a minor pathway. If you know your system forms
+significant amounts of aromatics (e.g., fuel-rich partial oxidation), you can
+explicitly request the PAH libraries by adding the ``''`` keyword
+to any library field::
+
+ database(
+ thermoLibraries = ['auto', ''],
+ reactionLibraries = ['auto', ''],
+ seedMechanisms = 'auto',
+ transportLibraries = 'auto',
+ kineticsFamilies = 'auto',
+ )
+
+The ``''`` keyword is consumed during processing (it does not appear
+in the final library list) — it only serves as a signal to include the
+PAH_formation set. It can be placed anywhere in the list; its position does
+not affect library priority.
+
+**Previewing the selection.** A Jupyter notebook is provided at
+:file:`ipython/auto_library_selection.ipynb` that lets you preview exactly which
+libraries and families RMG would choose for a given input file, without running
+the full job.
+
+.. note::
+ The ``'auto'`` keyword is opt-in. If you do not use it you must list every library explicitly.
+
+
.. _species_list:
List of species
@@ -247,6 +322,14 @@ The following is an example of a typical species item, based on methane using SM
"""
)
+For long lists of initial core species, you can specify a coreSpeciesList, shown below::
+
+ coreSpeciesList(
+ species_dictionary_file="path/to/your/species_dictionary.txt"
+ )
+
+This specifies the path for an RMG-formatted :ref:`species dictionary ` from which additional species will be loaded. Note that RMG will complain if any species in the input file is duplicated in the species dictionary. All species are assumed to be reactive.
+
.. _forbidden_structures:
Forbidden Structures
@@ -879,6 +962,39 @@ to turn off pressure dependence for all molecules larger than the given number
of atoms (16 in the above example).
+Completed Pressure-Dependent Networks
+--------------------------------------
+
+Sometimes you have a pressure-dependent network that has been studied in great
+detail and included in a seed mechanism or reaction library (such as CH2O2),
+and you don't want RMG to add additional reactions to that network. Adding
+RMG's estimates to a thoroughly studied network will likely make your model
+worse, as the original authors would have included any important reactions.
+
+You can specify that certain networks should not be expanded further using the
+``completedNetworks`` parameter within the ``pressureDependence()`` block. This
+parameter takes a list of chemical formulas identifying the networks that should
+be considered complete. For example::
+
+ pressureDependence(
+ method='modified strong collision',
+ maximumGrainSize=(0.5,'kcal/mol'),
+ minimumNumberOfGrains=250,
+ temperatures=(300,2000,'K',8),
+ pressures=(0.01,100,'bar',5),
+ interpolation=('Chebyshev', 6, 4),
+ maximumAtoms=16,
+ completedNetworks=['CH2O2'],
+ )
+
+Multiple networks can be specified in the list::
+
+ completedNetworks=['CH2O2', 'C2H6'],
+
+When a network is marked as completed, RMG will not add any new reactions to it,
+though reactions already present in seed mechanisms will still be used.
+
+
.. _uncertaintyanalysis:
Uncertainty Analysis
@@ -965,12 +1081,17 @@ Miscellaneous options::
units='si',
generateOutputHTML=True,
generatePlots=False,
+ generatePESDiagrams=False,
saveSimulationProfiles=True,
verboseComments=False,
saveEdgeSpecies=True,
keepIrreversible=True,
trimolecularProductReversible=False,
- saveSeedModulus=-1
+ saveSeedModulus=-1,
+ generateChemkin=True,
+ generateRMSYAML=True,
+ generateCanteraYAML1=False,
+ generateCanteraYAML2=False,
)
The ``name`` field is the name of any generated seed mechanisms
@@ -981,16 +1102,20 @@ Setting ``saveSeedToDatabase`` to ``True`` tells RMG (if generating a seed) to a
The ``units`` field is set to ``si``. Currently there are no other unit options.
-Setting ``generateOutputHTML`` to ``True`` will let RMG know that you want to save 2-D images (png files in the local ``species`` folder) of all species in the generated core model. It will save a visualized
-HTML file for your model containing all the species and reactions. Turning this feature off by setting it to ``False`` may save memory if running large jobs.
+Setting ``generateOutputHTML`` to ``True`` will let RMG know that you want to save 2-D images (png files in the local ``species`` folder) of all species in the generated core model.
+It will save a visualized HTML file for your model containing all the species and reactions.
+Turning this feature off by setting it to ``False`` may save memory if running large jobs.
+It can be configured using a dictionary of settings in place of the ``True`` statement, as described below.
Setting ``generatePlots`` to ``True`` will generate a number of plots describing the statistics of the RMG job, including the reaction model core and edge size and memory use versus execution time. These will be placed in the output directory in the plot/ folder.
+Setting ``generatePESDiagrams`` to ``True`` will generate potential energy surface diagrams for each pressure dependent network in the model. These diagrams will be saved in the ``pdep/`` folder in the output directory. Only applicable if pressure dependence is enabled.
+
Setting ``saveSimulationProfiles`` to ``True`` will make RMG save csv files of the simulation in .csv files in the ``solver/`` folder. The filename will be ``simulation_1_26.csv`` where the first number corresponds to the reaciton system, and the second number corresponds to the total number of species at the point of the simulation. Therefore, the highest second number will indicate the latest simulation that RMG has complete while enlarging the core model. The information inside the csv file will provide the time, reactor volume in m^3, as well as mole fractions of the individual species.
-Setting ``verboseComments`` to ``True`` will make RMG generate chemkin files with complete verbose commentary for the kinetic and thermo parameters. This will be helpful in debugging what values are being averaged for the kinetics. Note that this may produce very large files.
+Setting ``verboseComments`` to ``True`` will make RMG generate output files with complete verbose commentary for the kinetic and thermo parameters (i.e. listing every rate rule that was averaged). This is helpful for debugging what values are being averaged for the kinetics. Note that this may produce very large files.
-Setting ``saveEdgeSpecies`` to ``True`` will make RMG generate chemkin files of the edge reactions in addition to the core model in files such as ``chem_edge.inp`` and ``chem_edge_annotated.inp`` files located inside the ``chemkin`` folder. These files will be helpful in viewing RMG's estimate for edge reactions and seeing if certain reactions one expects are actually in the edge or not.
+Setting ``saveEdgeSpecies`` to ``True`` will make RMG generate chemkin files of the edge reactions in addition to the core model in files such as ``chem_edge.inp`` and ``chem_edge_annotated.inp`` files located inside the ``chemkin`` folder. These files will be helpful in viewing RMG's estimate for edge reactions and seeing if certain reactions one expects are actually in the edge or not. This is a global fallback; individual writers can override it (see below).
Setting ``keepIrreversible`` to ``True`` will make RMG import library reactions as is, whether they are reversible or irreversible in the library. Otherwise, if ``False`` (default value), RMG will force all library reactions to be reversible, and will assign the forward rate from the relevant library.
@@ -998,6 +1123,74 @@ Setting ``trimolecularProductReversible`` to ``False`` will not allow families w
Setting ``saveSeedModulus`` to ``-1`` will only save the seed from the last iteration at the end of an RMG job. Alternatively, the seed can be saved every ``n`` iterations by setting ``saveSeedModulus`` to ``n``.
+Per-writer Output Configuration
+--------------------------------
+
+Each of the following options controls a separate output-format writer.
+Each accepts ``True``, ``False``, or a Python dict with optional keys:
+
+* ``'saveInterval'`` *(int)* — positive N writes every N iterations (iteration
+ numbering starts at 0); ``-1`` writes only at the very end of the run.
+ Defaults to ``1`` (every iteration) for writers that are on by default.
+* ``'saveEdge'`` *(bool, optional)* — overrides the global ``saveEdgeSpecies``
+ flag for this writer only.
+
+Examples::
+
+ # Chemkin: save only at the end, also writing edge species
+ generateChemkin={'saveInterval': -1, 'saveEdge': True}
+
+ # RMS YAML: save every 5 iterations
+ generateRMSYAML={'saveInterval': 5}
+
+ # Cantera YAML v2: save every iteration, no edge species
+ generateCanteraYAML2={'saveInterval': 1, 'saveEdge': False}
+
+``generateChemkin`` (default ``True``)
+ Controls the Chemkin writer. Output is written to the ``chemkin/`` folder.
+ When enabled, Cantera's ``ck2yaml`` converter is also run at the end of the
+ job to produce a ``cantera_from_ck/`` folder — see :ref:`output`.
+
+``generateRMSYAML`` (default ``True``)
+ Controls the RMS YAML writer. Output is written to the ``rms/`` folder.
+
+``generateCanteraYAML1`` (default ``False``) *(beta)*
+ Controls the *direct* Cantera YAML v1 writer. Output is written to the
+ ``cantera1/`` folder. Unlike the ``cantera_from_ck`` route (which converts
+ a Chemkin file via ``ck2yaml``), this writer constructs the YAML directly
+ from RMG's internal Python objects without going through Chemkin at all.
+ It runs at every iteration (or on the configured schedule) so you get a
+ history of the growing mechanism.
+
+ .. warning::
+
+ This writer is in **beta**. The output should be valid Cantera YAML, but
+ it has been less extensively tested than the established
+ ``cantera_from_ck`` route. If both this writer and the Chemkin writer
+ are enabled, a ``comparison_report.txt`` is generated at the end of the
+ run comparing the two outputs numerically. Please report discrepancies
+ on the `RMG-Py issue tracker
+ `_.
+
+``generateCanteraYAML2`` (default ``False``) *(beta)*
+ Controls the *direct* Cantera YAML v2 writer. Output is written to the
+ ``cantera2/`` folder. Like ``generateCanteraYAML1``, this writer bypasses
+ the Chemkin intermediate, but instead uses the Cantera Python API
+ (``ct.Solution``) to construct and serialise the mechanism. It also runs
+ at every iteration (or on the configured schedule).
+
+ .. warning::
+
+ This writer is in **beta**. It has been less extensively tested than the
+ established ``cantera_from_ck`` route. When enabled alongside the Chemkin
+ writer, a ``comparison_report.txt`` is generated at the end of the run.
+ Please report discrepancies on the `RMG-Py issue tracker
+ `_.
+
+``generateOutputHTML`` (default ``False``)
+ Controls the HTML species-visualisation writer. Output is written to the
+ ``species/`` folder. Accepts ``True``/``False`` or the same dict format.
+
Species Constraints
=====================
@@ -1018,7 +1211,7 @@ all of RMG's reaction families. ::
maximumRadicalElectrons=2,
maximumSingletCarbenes=1,
maximumCarbeneRadicals=0,
- maximumIsotopicAtoms=2,
+ maximumFusedRingSystemSize=3,
allowSingletO2 = False,
speciesCuttingThreshold=20,
)
@@ -1028,6 +1221,10 @@ from either the input file, seed mechanisms, or reaction libraries to bypass the
Note that this should be done with caution, since the constraints will still apply to subsequent
products that form.
+``maximumFusedRingSystemSize`` is the maximum number of SSSR rings allowed within any single
+fused ring system in the species (i.e., it counts rings in both fused systems, which share edges,
+and spirocyclic systems, which share a single atom).
+
By default, the ``allowSingletO2`` flag is set to ``False``. See :ref:`representing_oxygen` for more information.
Note that ``speciesCuttingThreshold`` is set by default to 20 heavy atoms. This means that if a species containing
diff --git a/documentation/source/users/rmg/installation/anacondaDeveloper.rst b/documentation/source/users/rmg/installation/anacondaDeveloper.rst
index 0b836246a44..eb56f1faa6f 100644
--- a/documentation/source/users/rmg/installation/anacondaDeveloper.rst
+++ b/documentation/source/users/rmg/installation/anacondaDeveloper.rst
@@ -4,12 +4,26 @@
Installation by Source Using Anaconda Environment for Unix-based Systems: Linux and Mac OSX
*******************************************************************************************
-#. Install the `conda` package manager via `miniforge`, if you do not already have it (or Anaconda), by following the `Miniforge installation instructions `_.
+#. Before you begin — check your build tools are up to date.
+
+ RMG-Py compiles Cython extensions during installation, so your C compiler and
+ conda installation must be reasonably modern or the build will fail.
+
+ **On MacOS:** Ensure your Xcode Command Line Tools are current. If they are more than a year or two old, either download the latest Command Line Tools from `Apple Developer Downloads `_ (free Apple ID required) or manually remove them and reinstall them using::
+
+ xcode-select --install
+
+ **conda version:** Ensure conda is also up to date. To update::
+
+ conda update -n base -c conda-forge conda
+
+ If ``conda update`` does not advance the version (which can happen), install a specific release explicitly, e.g.::
+
+ conda install -n base -c conda-forge conda=26.3
+
+#. If you do not already have the `conda` package manager (or Anaconda) then install it via `miniforge`, by following the `Miniforge installation instructions `_.
-#. If your `conda` version is older than 23.10.0, manually switch the solver backend to `libmamba` (or update your conda)::
- conda install -n base conda-libmamba-solver
- conda config --set solver libmamba
#. There are a few system-level dependencies which are required and should not be installed via Conda. These include
`Git `_ for version control, `GNU Make `_, and the C and C++ compilers from the `GNU Compiler Collection (GCC) `_ for compiling RMG.
@@ -40,6 +54,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
These are a set of packages relevant for software development which have been bundled together by Apple.
The easiest way to install this is to simply run one of the commands in the terminal, e.g. ``git``.
The terminal will then prompt you to install the Command Line Tools.
+ See the warning in step 1 about keeping the tools up to date.
#. Install the latest versions of RMG and RMG-database through cloning the source code via Git. Make sure to start in an
appropriate local directory where you want both RMG-Py and RMG-database folders to exist.
@@ -51,7 +66,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
It is still possible to clone the repositories using ``https`` if you are
unfamiliar with ``ssh``::
-
+
git clone https://github.com/ReactionMechanismGenerator/RMG-Py.git
git clone https://github.com/ReactionMechanismGenerator/RMG-database.git
@@ -61,7 +76,9 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
cd RMG-Py
-#. Create the conda environment for RMG-Py::
+#. Create the conda environment for RMG-Py.
+
+ To create an environment called ``rmg_env`` containing all that you need for RMG, run::
conda env create -f environment.yml
@@ -69,17 +86,26 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
conda env create -f environment.yml -n rmg_env2
- If either of these commands return an error due to being unable to find the ``conda`` command,
- try to either close and reopen your terminal to refresh your environment variables
- or type the following command.
+ If you have a recent version of conda (``conda -V`` reports >= 26.3) then the preferred command is without the ``env`` subcommand::
- If on Linux or pre-Catalina MacOS (or if you have a bash shell)::
+ conda create --file environment.yml --name rmg_env
- source ~/.bashrc
+ If any of these commands return an error due to being unable to find the ``conda`` command,
+ (for example if you only just installed it)
+ then close and reopen your terminal (or log out and log in again) to refresh your environment variables.
- If on MacOS Catalina or later (or if you have a Z shell)::
+ NOTE: You may wish to forbid ``conda`` from installing from the Anaconda channels due to licensing restrictions.
+ The ``environment.yml`` file already forbids using default channels, but you may further add the file ``.condarc`` to your RMG-Py directory (or modify the ``.condarc`` in your home directory) with the following contents before running the ``conda env create`` command: ::
- source ~/.zshrc
+ channels:
+ - conda-forge
+ - nodefaults
+ channel_priority: strict
+ custom_channels:
+ main: null
+ r: null
+ anaconda: null
+ msys2: null
#. Activate conda environment ::
@@ -106,7 +132,7 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
Installing Julia and ReactionMechanismSimulator.jl (RMS) will enable all the features in RMG that require RMS-based reactors,
as well as using ``method='ode'`` when solving the Master Equation with Arkane.
- Note that installing RMS can cause errors when running Cantera simulations; this should not affect normal RMG use, but if you wish to run Cantera simulations you will need to maintain a separate conda environment without RMS in it.
+ Note that installing RMS has sometimes caused errors when running Cantera; this should not affect normal RMG use, but if you wish to run Cantera simulations you might need to use a separate conda environment without RMS in it.
Ensure that you have modified your environment variables as described above, and then run the following: ::
@@ -116,6 +142,25 @@ Installation by Source Using Anaconda Environment for Unix-based Systems: Linux
which can involve several steps including restarting your terminal or shell.
Run the script again, until it finishes installing RMS and all of its dependencies, and reports that ReactionMechanismSimulator is installed.
+ **Advanced Usage**:
+ The ``install_rms.sh`` script has options, that can be set as environment variables or variables to the script.
+ By default, it installs the latest release of the ``for_rmg`` branch of RMS, from `the official GitHub fork `_, which is recommended for most users.
+ To install a different branch (from the same github repository) specify ``RMS_BRANCH``.
+ The default installation mode is ``standard``, which prompts the user to confirm their conda environment.
+ In an automated workflow (eg. CI/CD), you may wish to set ``RMS_INSTALLER`` to ``continuous`` to skip the prompt.
+ If you set ``RMS_INSTALLER`` to ``developer`` then it will link to a local version of RMS,
+ so you must also specify ``RMS_PATH`` to point to your local clone of the ReactionMechanismSimulator.jl repository.
+ Exmaple usage: ::
+
+ export RMS_BRANCH=for_rmg
+ export RMS_INSTALLER=continuous
+ source install_rms.sh
+
+ or ::
+
+ RMS_INSTALLER=developer RMS_PATH=$HOME/Code/ReactionMechanismSimulator.jl source install_rms.sh
+
+
#. Finally, you can run RMG from any location by typing the following (given that you have prepared the input file as ``input.py`` in the current folder). ::
python replace/with/path/to/rmg.py input.py
diff --git a/documentation/source/users/rmg/installation/anacondaUser.rst b/documentation/source/users/rmg/installation/anacondaUser.rst
index d2da18ecdf8..18171c0d5c0 100644
--- a/documentation/source/users/rmg/installation/anacondaUser.rst
+++ b/documentation/source/users/rmg/installation/anacondaUser.rst
@@ -9,7 +9,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX
#. Install both RMG and the RMG-database binaries through the terminal. Dependencies will be installed automatically. It is safest to make a new conda environment for RMG and its dependencies. Type the following command into the terminal to create the new environment named 'rmg_env' containing the latest stable version of the RMG program and its database. ::
- conda create --name rmg_env 'rmg::rmg'
+ conda create -n rmg_env -c conda-forge -c rmg rmg
Whenever you wish to use it you must first activate the environment::
@@ -19,7 +19,7 @@ Binary Installation Using Anaconda for Unix-Based Systems: Linux and Mac OSX
To install a specific version of RMG, add the version to the install command::
- conda create --name rmg_33_env 'rmg::rmg==3.3.0'
+ conda create --name rmg4_env -c conda-forge -c rmg 'rmg==4.0.0'
Not all versions of RMG are available via conda for all platforms. Check the `official RMG conda channel `_ to see which are available for download.
@@ -36,11 +36,11 @@ Updating your binary installation of RMG in Linux or Mac OSX
If you had previously installed a binary version of the RMG package and wish to update to a newer version, we suggest creating a new conda environment and installing the updated version there ::
- conda create --name rmg_xyz_env 'rmg::rmg==x.y.z'
+ conda create --name rmg_xyz_env -c conda-forge -c rmg 'rmg==x.y.z'
It is also possible, though not advisable, to update your existing installation to the latest stable version available on Anaconda by typing the following command on the terminal ::
source activate rmg_env
- conda update 'rmg::rmg'
+ conda update -c conda-forge -c rmg rmg
Doing this may break any other code present in the conda environment and RMG may not function correctly. If you attempt this update method and face issues, please attempt to install the new version of RMG in a new conda environment before reaching out for assistance.
diff --git a/documentation/source/users/rmg/installation/index.rst b/documentation/source/users/rmg/installation/index.rst
index 00e6f876b4a..70a2b743f41 100644
--- a/documentation/source/users/rmg/installation/index.rst
+++ b/documentation/source/users/rmg/installation/index.rst
@@ -16,17 +16,17 @@ RMG is primarily distributed using Docker, a software package for delivering app
#. Download and install `Docker `_.
-#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:3.3.0``.
+#. Open a terminal, powershell, or command prompt and run ``docker pull reactionmechanismgenerator/rmg:4.0.0``.
This step may take some time as the image is downloaded.
-#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:3.3.0``
+#. Run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it reactionmechanismgenerator/rmg:4.0.0``
This command will make the folder ``C:\Users\rmguser\myrmgfiles`` on your computer accessible from inside the container to easily edit and transfer input and output files.
Change the path to match your individual computer.
If the folder does not exist when the command is run, it will be created.
- If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:3.3.0`` instead.
+ If you want to use jupyter notebook inside the docker container, run ``docker run --name rmgcontainer -v "C:\Users\rmguser\myrmgfiles:/rmg/RMG-Py/myrmgfiles" -it -p 8888:8888 reactionmechanismgenerator/rmg:4.0.0`` instead.
And you can start the jupyter notebook by running ``jupyter notebook --ip 0.0.0.0 --no-browser --allow-root`` inside the container.
Then you can access the jupyter notebook from your browser by going to ``http://localhost:8888``.
You may need to copy and paste the token from the terminal into the browser to access the notebook.
@@ -40,7 +40,7 @@ For users unfamiliar with bash or Linux, we recommend looking at
`Must Know Linux/Unix Commands `_.
.. NOTE::
- The docker instructions above which specify ``rmg:3.3.0`` are for the version 3.3.0 release of RMG-Py (July 2025), the user guide for which is archived in a `4mb PDF here `_.
+ The docker instructions above which specify ``rmg:4.0.0`` are for the version 4.0.0 release of RMG-Py (April 2026), the user guide for which is archived in a `4mb PDF here `_.
If you want to use the latest development version, which corresponds to the user guide you are reading online `on the RMG website `_, you can replace the version number in the docker pull command with "latest" or omit it entirely.
For example, you can run ``docker pull reactionmechanismgenerator/rmg:latest`` or ``docker pull reactionmechanismgenerator/rmg`` to get the latest development version corresponding to `the main branch `_.
Be sure to also change the version number in the docker run commands to match the version you pulled.
@@ -49,9 +49,10 @@ For users unfamiliar with bash or Linux, we recommend looking at
Alternative Install: Binary Installation Using Anaconda
===========================================================
-If you are accustomed to using the Anaconda package manager or cannot tolerate the storage overhead of Docker, installation from conda is also available.
-This is recommended for users who want to use RMG out of the box and are not interested in changing the RMG code or making many additions to RMG's thermodynamic and kinetics databases.
-If this does interest you, please see the Developer Install below.
+If you are accustomed to using the Anaconda package manager or cannot tolerate the storage overhead of Docker, installation from Conda is also available.
+This is recommended for users who want to use RMG out of the box and are not interested in changing the RMG code or making many additions to RMG's thermodynamic and kinetics databases.
+Installation by Conda without compiling from source is limited to `specific versions of RMG-Py `_ .
+If you would like to use the latest version or plan to modify the code or databases, please refer to the Developer Installation instructions below.
.. toctree::
:maxdepth: 1
@@ -61,11 +62,9 @@ If this does interest you, please see the Developer Install below.
Developer Install: Installation from Source
===========================================================
-RMG-Py can be built from source using the Anaconda Python Platform to assist in installing all necessary dependencies.
-This is recommended for a developer who may be altering the RMG source code or someone who expects to manipulate the databases extensively.
-You will also be able to access the latest source code updates and patches through Github.
-It is also currently the only option to avoid the storage and memory overhead of Docker.
-Installation by Conda without compiling from source is limited to `older versions of RMG-Py `_ and is not currently recommended (but would follow instructions below if you needed).
+RMG-Py can be built from source using the Anaconda package manager to assist in installing all necessary dependencies.
+This is recommended for a developer who may be altering the RMG source code or someone who expects to manipulate the databases.
+You will also be able to access the latest source code updates and patches through GitHub.
.. toctree::
:maxdepth: 1
diff --git a/documentation/source/users/rmg/modules/isotopes.rst b/documentation/source/users/rmg/modules/isotopes.rst
index fda03e0fc9f..e567a1fc6d4 100644
--- a/documentation/source/users/rmg/modules/isotopes.rst
+++ b/documentation/source/users/rmg/modules/isotopes.rst
@@ -49,10 +49,6 @@ not match the same depository reactions, leading to inconsistent kinetics. If
degeneracy errors arise when generating reactions from scratch, try using this
option to see if it reduces errors in degeneracy.
-The arguement ``--maximumIsotopicAtoms [integer]`` limits the number of enriched
-atoms in any isotopologue in the model. This is beneficial for decreasing model
-size, runtime of model creation and runtime necessary for analysis.
-
Adding kinetic isotope effects which are described in this paper can be obtained
through the argument ``--kineticIsotopeEffect simple``. Currently this is the
only supported method, though this can be extended to other effects.
diff --git a/documentation/source/users/rmg/output.rst b/documentation/source/users/rmg/output.rst
index 57b6d818ee7..aabf220ee16 100755
--- a/documentation/source/users/rmg/output.rst
+++ b/documentation/source/users/rmg/output.rst
@@ -4,15 +4,22 @@
Analyzing the Output Files
**************************
-You will see that a sucessfully executed RMG job will create multiple output files and folders:
+You will see that a sucessfully executed RMG job will create multiple output files and folders:
``output.html`` (if ``generateOutputHTML=True`` is specified)
+``/cantera_from_ck``
+``/cantera1`` (if ``generateCanteraYAML1=True`` is specified)
+``/cantera2`` (if ``generateCanteraYAML2=True`` is specified)
``/chemkin``
-``/pdep``
+``/pdep``
``/plot``
+``/rms``
``/solver``
-``/species``
+``/species``
``RMG.log``
+
+.. _the_chemkin_folder:
+
------------------
The Chemkin Folder
------------------
@@ -39,6 +46,96 @@ network.
------------------
The Solver Folder
-------------------
-RMG currently includes a solver for isothermal batch reactors. This is in fact a critical part of the model enlargement algorithm. If you have included simulations in your input file, the solutions will be located in ``/solver``. You will probably only be interested in the files with the largest number tags.
+------------------
+RMG currently includes a solver for isothermal batch reactors. This is in fact a critical part of the model enlargement algorithm. If you have included simulations in your input file, the solutions will be located in ``/solver``. You will probably only be interested in the files with the largest number tags.
Please note that up to and including RMG-Py version 2.3.0 these files showed mole fraction of each species at each step, but they now show amount (number of moles) of each species; you must divide by the sum if you wish to get a mole fraction.
+
+------------------------------
+Cantera Output Folders
+------------------------------
+
+RMG can write mechanisms in `Cantera `_ YAML format via three distinct
+routes, producing up to three output folders. All three require Cantera to be installed in
+the conda environment (it is included in the standard ``rmg_env``).
+
+``/cantera_from_ck``
+^^^^^^^^^^^^^^^^^^^^
+
+This folder is always produced when the Chemkin writer is enabled (``generateChemkin=True``, the default).
+After the final RMG iteration, Cantera's own ``ck2yaml`` converter is used to translate the Chemkin-format files in ``/chemkin`` into Cantera YAML.
+This is the most thoroughly tested route and is the recommended output for production use.
+
+``/cantera1`` *(beta)*
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. note::
+
+ The ``cantera1`` writer is in **beta**. It uses the Cantera Python API to construct and
+ serialise the mechanism YAML, rather than writing the YAML by hand. It has been less
+ extensively tested than the ``cantera_from_ck`` route. Please report any discrepancies.
+
+This folder is created when ``generateCanteraYAML1=True`` is set in the ``options()`` block
+(disabled by default). The writer runs after every RMG iteration (or on the schedule set by
+``saveInterval``), so the folder accumulates a history of the growing mechanism.
+
+Files generated:
+
+* ``chem_annotated{NNNN}.yaml`` — annotated mechanism snapshot at the iteration when the
+ core contained *NNNN* species (e.g. ``chem_annotated0042.yaml``). Includes SMILES,
+ source, and kinetics comments.
+* ``chem_annotated.yaml`` — copy of the latest annotated snapshot; always reflects the
+ current model state.
+* ``chem.yaml`` — compact, comment-free copy of the final mechanism, written only at the
+ end of the run (mirrors Chemkin's ``chem.inp`` vs ``chem_annotated.inp`` split).
+* ``chem_edge_annotated{NNNN}.yaml`` / ``chem_edge_annotated.yaml`` / ``chem_edge.yaml`` —
+ edge-model equivalents (written when ``saveEdge=True``).
+* ``comparison_report.txt`` — numerical comparison of ``chem.yaml`` against the
+ ``cantera_from_ck`` translation (written at the end of the run if both writers are enabled;
+ see below)
+
+``/cantera2`` *(beta)*
+^^^^^^^^^^^^^^^^^^^^^^
+
+.. note::
+
+ The ``cantera2`` writer is in **beta**. It generates Cantera YAML directly from RMG's
+ internal Python data structures, without going through the Chemkin intermediate. While
+ it should produce valid mechanisms, it has been less extensively tested than the
+ ``cantera_from_ck`` route. Please report any discrepancies.
+
+This folder is created when ``generateCanteraYAML2=True`` is set in the ``options()`` block
+(disabled by default). Like ``cantera1``, it runs at every iteration (or on the configured
+schedule).
+
+Files generated:
+
+* ``chem_annotated{NNNN}.yaml`` / ``chem_annotated.yaml`` — annotated mechanism snapshots
+ (per-iteration history and latest copy), including SMILES, source, and kinetics comments.
+* ``chem.yaml`` — compact, comment-free copy of the final mechanism, written only at the
+ end of the run.
+* ``chem_edge_annotated{NNNN}.yaml`` / ``chem_edge_annotated.yaml`` / ``chem_edge.yaml`` —
+ edge-model equivalents (written when ``saveEdge=True``).
+* ``comparison_report.txt`` — numerical comparison against the ``cantera_from_ck``
+ translation (written at the end of the run if both writers are enabled).
+
+Comparison Reports
+^^^^^^^^^^^^^^^^^^
+
+When a direct-writer folder (``cantera1`` or ``cantera2``) is used alongside the Chemkin
+writer, RMG automatically compares the final ``chem.yaml`` from that folder against the
+``cantera_from_ck/chem.yaml`` produced by ``ck2yaml``. The comparison checks differences
+in the yaml data. Not all differences are necessarily problematic. Results are written to
+``comparison_report.txt`` inside the relevant direct-writer folder.
+
+If you find that the two routes disagree in a problematic way, please open an issue on the
+`RMG-Py GitHub repository `_
+and include the ``comparison_report.txt`` and a minimal reproducing ``input.py``.
+
+------------------------------
+The RMS YAML Folder
+------------------------------
+
+The ``/rms`` folder contains the mechanism in
+`ReactionMechanismSimulator (RMS) `_
+YAML format. This writer is enabled by default (``generateRMSYAML=True``) and writes at
+every iteration, unless configured otherwise by ``saveInterval``.
diff --git a/documentation/source/users/rmg/releaseNotes.rst b/documentation/source/users/rmg/releaseNotes.rst
index c0702736a96..94f8254e9e3 100644
--- a/documentation/source/users/rmg/releaseNotes.rst
+++ b/documentation/source/users/rmg/releaseNotes.rst
@@ -4,11 +4,64 @@
Release Notes
*************
+RMG-Py Version 4.0.0
+====================
+Date: June 10, 2026
+
+The below list is a summary. For a complete list of all changes, see the `Official RMG-Py Release Page `_.
+
+- New Features
+ - Introduced an automated database selection feature
+ - Extended uncertainty analysis suite to export covariance matrices, import detailed correlations from RMG libraries, and add uncertainties in quadrature
+ - Added comprehensive surface sensitivity features for `SurfaceReactor`
+ - Added support for coverage-dependent thermochemistry and kinetics for surface catalysis
+ - Added new YAML file writers for Cantera
+ - Added an Arkane xTB Electronic Structure Software (ESS) adapter
+ - Implemented a species constraint setting for specifying the maximum number of fused rings allowed
+ - Added ability to specify core species list from an external dictionary for model initialization
+ - Added support for Van der Waals bonds in adsorbates (eg. adsorbed bidentate formate)
+
+- Software Improvements
+ - Upgraded core dependencies to Cantera 3 and Python 3.11/updated ecosystem
+ - Optimizations to Cython declarations and molecule module structures
+ - Jupyter Notebooks updated to interface with Reaction Mechanism Simulator (RMS) using `juliacall`
+ - Enhanced CI pipelines and improved conda building
+ - Incremental Cython builds restored in the Makefile for faster developer compilation
+ - Improvements to Chemkin file I/O including isotope handling and THERM line formatting
+ - Changed Arkane orthonormalization when projecting out rotors from vibrational modes
+
+- Bug Fixes
+ - Fixed duplicate reactions from identical templates being erroneously added to mechanisms
+ - Fixed energy correction calculations in pressure-dependent reactions and ensured consistency of transition state $E_0$ values in Arkane output files
+ - Corrected constant-species index mapping in `SimpleReactor`
+ - Improved RDKit `GetSSSR` non-determinism
+ - Removed deprecated `imp.load_source` calls and eliminated unreachable code segments
+ - Fixed coverage-dependent thermodynamics and kinetics in surface reactors
+
+
+RMG-Database Version 4.0.0
+==========================
+Date: June 10, 2026
+
+The below list is a summary. For a complete list of all changes, see the `Official RMG-Database Release Page `_.
+
+- Features
+ - Expanded datasets with a new Formic Acid library and example coverage-dependent thermo libraries
+ - Added data for electrocatalytic $\text{CO}_2$ reduction ($\text{CO}_2\text{RR}$) kinetics and adsorbates
+ - Added BEEF uncertainty covariance data support
+ - Implemented new surface nitrogen reaction families, BEP rules, and NOx chemistry for $\text{Pt}(111)$
+ - Introduced a `recommended_libraries.yml` configuration file
+
+- Bugfixes
+ - Fixed incorrect entry details in the `Glarborg/C2` database
+ - Fixed thermodynamic discontinuity issues found in the formic acid dataset
+ - Corrected temperature minimum settings ($T_{min}$) from 300 K to 298 K in NASA polynomials for $\text{CO}_2\text{RR}$ adsorbates on $\text{Ag}(111)$
+
RMG-Py Version 3.3.0
====================
Date: July 10, 2025
-The below list is a summary. For a complete list of all changes, see the `Official Release Page `_.
+The below list is a summary. For a complete list of all changes, see the `Official RMG-Py Release Page `_.
- Software Improvements
- RMG-Py now uses Python 3.9
@@ -33,7 +86,7 @@ RMG-Database Version 3.3.0
==========================
Date: July 10, 2025
-The below list is a summary. For a complete list of all changes, see the `Official Release Page `_.
+The below list is a summary. For a complete list of all changes, see the `Official RMG-Database Release Page `_.
- Features
- Electrochemistry with Lithium
diff --git a/documentation/source/users/rmg/running.rst b/documentation/source/users/rmg/running.rst
index 0755c6199e7..43425fe38b4 100755
--- a/documentation/source/users/rmg/running.rst
+++ b/documentation/source/users/rmg/running.rst
@@ -48,9 +48,9 @@ at the command line will print the documentation from ``util.py``, which is repr
-P, --postprocess postprocess profiling statistics from previous
[failed] run; does not run the simulation
-t DD:HH:MM:SS, --walltime DD:HH:MM:SS
- set the maximum execution time
+ set the maximum execution time (overrides input.py if provided)
-i MAXITER, --maxiter MAXITER
- set the maximum number of RMG iterations
+ set the maximum number of RMG iterations (overrides input.py if provided)
-n MAXPROC, --maxproc MAXPROC
max number of processes used during reaction
generation
@@ -73,7 +73,7 @@ Run with multiprocessing for reaction generation and QMTP::
python rmg.py -n input.py
-Run with setting a limit on the maximum execution time::
+Run with setting a limit on the maximum execution time (if specified, then the command-line value overrides any value read from ``input.py``)::
python rmg.py -t input.py
diff --git a/environment.yml b/environment.yml
index 591acb91a51..1fff51b4221 100644
--- a/environment.yml
+++ b/environment.yml
@@ -11,21 +11,14 @@
# - other software we maintain which RMG depends on
# + some other categories (see below)
#
-# Changelog:
-# - May 15, 2023 Added this changelog, added inline documentation,
-# made dependency list more explicit (@JacksonBurns).
-# - October 16, 2023 Switched RDKit and descripatastorus to conda-forge,
-# moved diffeqpy to pip and (temporarily) removed chemprop
-# - April 17, 2024 Limit versions of cclib at advice of maintainers.
-# - August 4, 2024 Restricted pyrms to <2
-# - May 14, 2024 Removed diffeqpy by switching to call SciMLBase and Sundials using JuliaCall
-# - March 15, 2024 - started migration to Python 3.9
-# - April 14, 2025 Removed Julia dependencies, now considered optional
-#
+# ======================================================================
+# !! WHEN UPDATING THIS FILE REMEMBER TO ALSO UPDATE .conda/meta.yaml !!
+# ======================================================================
name: rmg_env
channels:
- conda-forge
- rmg
+ - nodefaults
dependencies:
# System-level dependencies - we could install these at the OS level
# but by installing them in the conda environment we get better control
@@ -34,39 +27,37 @@ dependencies:
- conda-forge::ffmpeg >= 7
- conda-forge::xlrd
- conda-forge::xlwt
- - conda-forge::h5py
+ - conda-forge::h5py >=3.10
- conda-forge::graphviz >=12
- conda-forge::markupsafe
- conda-forge::psutil
- # conda-forge not default, since default has a version information bug
- # (see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2421)
- conda-forge::ncurses
- conda-forge::suitesparse
- # see https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2750
- - conda-forge::graphviz
- # ThermoCentralDatabaseInterface fails if pyopenssl is too old. 20 is just a guess at the version number.
- - conda-forge::pyopenssl >20
+ # ThermoCentralDatabaseInterface fails if pyopenssl is too old.
+ - conda-forge::pyopenssl >24
# external software tools for chemistry
- conda-forge::coolprop
- - conda-forge::cantera =2.6
+ - conda-forge::cantera >=3.0
- conda-forge::mopac
# see https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2639#issuecomment-2050292972
- conda-forge::cclib >=1.6.3,<1.9
- conda-forge::openbabel >= 3
- - conda-forge::rdkit >=2022.09.1
+ - conda-forge::rdkit >=2024
+ - rmg::pysidt-rmg >=1.2
# Python tools
- - conda-forge::python >=3.9 # leave as GEQ so that GitHub actions can add EQ w/o breaking (contradictory deps)
- - conda-forge::setuptools <80
+ - conda-forge::python =3.11 # pinned to a single version to keep solver fast; CI rewrites this to the matrix version (see CI.yml)
+ - conda-forge::setuptools >=70,<80
- conda-forge::coverage
- - conda-forge::cython >=0.25.2,<3.1
- - conda-forge::scikit-learn
- - conda-forge::scipy >=1.9
- - conda-forge::numpy >=1.10.0,<2
+ - conda-forge::cython >=3.0,<3.1
+ - conda-forge::scikit-learn >=1.3
+ - conda-forge::scipy >=1.13
+ - conda-forge::numpy >=1.24,<2
- conda-forge::pydot
- conda-forge::jinja2
- conda-forge::jupyter
+ - conda-forge::pip
- conda-forge::pymongo
- conda-forge::pyparsing
- conda-forge::pyyaml
@@ -75,15 +66,14 @@ dependencies:
- conda-forge::pytest-cov
- conda-forge::pytest-check
- conda-forge::pyutilib
- - conda-forge::matplotlib >=1.5
+ - conda-forge::matplotlib >=3.5
- conda-forge::mpmath
- - conda-forge::pandas
+ - conda-forge::pandas >=2
- conda-forge::gprof2dot
- conda-forge::numdifftools
# bug in quantities, see:
# https://github.com/ReactionMechanismGenerator/RMG-Py/pull/2694#issuecomment-2489286263
- conda-forge::quantities !=0.16.0,!=0.16.1
- - conda-forge::ringdecomposerlib-python
# packages we maintain
- rmg::pydas >=1.0.3
@@ -96,7 +86,7 @@ dependencies:
# optional dependencies for using ReactionMechanismSimulator
# remove the leading '#' to install the required dependencies
# or simply run `install_rms.sh` which will handle this for you
- # - conda-forge::pyjuliacall
+ # - conda-forge::pyjuliacall<0.9.35
# additional packages that are required, but not specified here (and why)
# pydqed, pydas, mopac, and likely others require a fortran compiler (specifically gfortran)
diff --git a/examples/rmg/1,3-hexadiene/input.py b/examples/rmg/1,3-hexadiene/input.py
index 8ccf652c15f..3e03b201c66 100644
--- a/examples/rmg/1,3-hexadiene/input.py
+++ b/examples/rmg/1,3-hexadiene/input.py
@@ -1,7 +1,7 @@
# Data sources
database(
thermoLibraries = ['primaryThermoLibrary', 'GRI-Mech3.0'],
- reactionLibraries = [],
+ reactionLibraries = ['NOx2018'],
seedMechanisms = [],
kineticsDepositories = ['training'],
kineticsFamilies = 'default',
@@ -89,4 +89,10 @@
units='si',
generateOutputHTML=False,
generatePlots=False,
+ generatePESDiagrams=True,
+ # Large model: write output every 5 iterations and skip edge species to reduce I/O
+ generateChemkin={'saveInterval': 1, 'saveEdge': False},
+ generateRMSYAML={'saveInterval': 5},
+ generateCanteraYAML1={'saveInterval': 5},
+ generateCanteraYAML2={'saveInterval': 5},
)
diff --git a/examples/rmg/MR_test/input.py b/examples/rmg/MR_test/input.py
index 39f9e4d0fcf..bea097546a1 100644
--- a/examples/rmg/MR_test/input.py
+++ b/examples/rmg/MR_test/input.py
@@ -260,9 +260,9 @@
#Sets a time limit in the form DD:HH:MM:SS after which the RMG job will stop. Useful for profiling on jobs that
#do not converge.
#wallTime = '00:00:00',
+ #When keepIrreversible=False (default), forces RMG to import library reactions as reversible.
+ #Otherwise, if set to True, RMG will import library reactions while keeping the reversibility as specified.
keepIrreversible=False,
- #Forces RMG to import library reactions as reversible (default). Otherwise, if set to True, RMG will import library
- #reactions while keeping the reversibility as as.
)
# optional module allows for correction to unimolecular reaction rates at low pressures and/or temperatures.
@@ -275,8 +275,8 @@
minimumNumberOfGrains=250,
#the conditions for the rate to be output over
#parameter order is: low_value, high_value, units, internal points
- temperatures=(300,2200,'K',2),
- pressures=(0.01,100.01,'bar',3),
+ temperatures=(300,2200,'K',10),
+ pressures=(0.01,100.01,'bar',10),
#The two options for interpolation are 'PDepArrhenius' (no extra arguments) and
#'Chebyshev' which is followed by the number of basis sets in
#Temperature and Pressure. These values must be less than the number of
@@ -305,7 +305,5 @@
#If this is false or missing, RMG will throw an error if the more less-stable form of O2 is entered
#which doesn't react in the RMG system. normally input O2 as triplet with SMILES [O][O]
#allowSingletO2=False,
- # maximum allowed number of non-normal isotope atoms:
- #maximumIsotopicAtoms=2,
)
diff --git a/examples/rmg/TEOS/input.py b/examples/rmg/TEOS/input.py
index 75b6a114085..86b3dcb77e8 100644
--- a/examples/rmg/TEOS/input.py
+++ b/examples/rmg/TEOS/input.py
@@ -4,7 +4,7 @@
reactionLibraries = [],
seedMechanisms = [],
kineticsDepositories = ['training'],
- kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'],
+ kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'],
kineticsEstimator = 'rate rules',
)
diff --git a/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb b/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb
index 371bfc2cadf..a79cc9a071f 100644
--- a/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb
+++ b/examples/rmg/catalysis/ch4_o2/simulate_ch4o2cat_RMS.ipynb
@@ -12,16 +12,130 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 1,
"id": "82bfbe9d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n",
+ "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n",
+ "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n",
+ "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n",
+ "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n",
+ "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-fa96-c0dd8fa38fc4 is missing from the cache.\n",
+ "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n",
+ "└ @ Base loading.jl:2018\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n",
+ "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n",
+ "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n",
+ "[ Info: Waiting for another process (pid: 19159) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n",
+ "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n",
+ "┌ Warning: MKL_jll is not available/installed.\n",
+ "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n"
+ ]
+ }
+ ],
"source": [
- "from pyrms import rms\n",
- "from diffeqpy import de\n",
+ "from juliacall import Main as rms\n",
+ "rms.seval(\"using PythonCall\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n",
+ "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
- "from julia import Main\n",
"%matplotlib inline"
]
},
@@ -44,7 +158,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"id": "f9caf172",
"metadata": {},
"outputs": [],
@@ -99,31 +213,95 @@
},
{
"cell_type": "code",
- "execution_count": 33,
+ "execution_count": 3,
"id": "76557080",
"metadata": {},
"outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "┌ Warning: failed to generate StokesDiffusivity model for species vacantX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species C.[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CH3X\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species HX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CH2X\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CHX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species HOX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC=[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC#[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OCX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species H2OX\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species O=C[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC(=[Pt])O[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species O=C(O)[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species [Pt]OC=[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CO2X\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC(O)[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species O=CO.[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species OC([Pt])O[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species O=C(O)O[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species [H][H].[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CO.[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species CO[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species C=O.[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species [Pt]CO[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n",
+ "┌ Warning: failed to generate StokesDiffusivity model for species O=CO[Pt]\n",
+ "└ @ ReactionMechanismSimulator ~/code/ReactionMechanismSimulator.jl/src/Parse.jl:347\n"
+ ]
+ },
{
"name": "stdout",
"output_type": "stream",
"text": [
- "12 Gas-phase species\n",
- "3 Gas-phase reactions\n",
+ "11 Gas-phase species\n",
+ "1 Gas-phase reactions\n",
"29 Surface species\n",
- "198 Surface reactions\n",
- "21 Gas-Surface reactions\n"
+ "328 Surface reactions\n",
+ "22 Gas-Surface reactions\n"
]
}
],
"source": [
- "mechanism_path = \"ch4o2cat.rms\" # You may change the path to actual mechanism file path\n",
+ "mechanism_path = \"rms/chem40.rms\" # You may change the path to actual mechanism file path\n",
"\n",
"phase_dict = rms.readinput(mechanism_path)\n",
"gas_spcs = phase_dict[\"gas\"][\"Species\"]\n",
"gas_rxns = phase_dict[\"gas\"][\"Reactions\"]\n",
"surface_spcs = phase_dict[\"surface\"][\"Species\"]\n",
"surface_rxns = phase_dict[\"surface\"][\"Reactions\"]\n",
- "interface_rxns = Main.get(phase_dict, Main.Set([\"surface\", \"gas\"]), Main.nothing)[\"Reactions\"]\n",
+ "interface_rxns = rms.get(phase_dict, rms.Set([\"surface\", \"gas\"]), rms.nothing)[\"Reactions\"]\n",
"print(f\"{len(gas_spcs)} Gas-phase species\")\n",
"print(f\"{len(gas_rxns)} Gas-phase reactions\")\n",
"print(f\"{len(surface_spcs)} Surface species\")\n",
@@ -157,7 +335,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 4,
"id": "4aed6687",
"metadata": {},
"outputs": [],
@@ -200,7 +378,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 5,
"id": "4f19e662",
"metadata": {},
"outputs": [],
@@ -227,13 +405,13 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 6,
"id": "9f4eab3f",
"metadata": {},
"outputs": [],
"source": [
- "domaingas, y0gas, pgas = rms.ConstantTPDomain(phase=ig, initialconds=gas_initial_conds)\n",
- "domaincat, y0cat, pcat = rms.ConstantTAPhiDomain(phase=cat, initialconds=surface_initial_conds)"
+ "domaingas, y0gas, pgas = rms.ConstantTPDomain(phase=ig, initialconds=to_julia(gas_initial_conds))\n",
+ "domaincat, y0cat, pcat = rms.ConstantTAPhiDomain(phase=cat, initialconds=to_julia(surface_initial_conds))"
]
},
{
@@ -252,7 +430,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 7,
"id": "c925a1c8",
"metadata": {},
"outputs": [],
@@ -274,7 +452,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 8,
"id": "af2ff17b",
"metadata": {},
"outputs": [],
@@ -296,13 +474,13 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 9,
"id": "051a8d03",
"metadata": {},
"outputs": [],
"source": [
- "sol = de.solve(react.ode,\n",
- " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ "sol = rms.solve(react.ode,\n",
+ " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
" abstol=1e-20, # You may tighter the tolerance with a cost of more computational time\n",
" reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n",
" )"
@@ -322,7 +500,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 10,
"id": "72f9c4e7",
"metadata": {},
"outputs": [],
@@ -358,7 +536,7 @@
},
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 11,
"id": "d6cc9fcc",
"metadata": {},
"outputs": [
@@ -368,13 +546,13 @@
"Text(0, 0.5, 'Mole Fraction')"
]
},
- "execution_count": 45,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -405,7 +583,7 @@
},
{
"cell_type": "code",
- "execution_count": 46,
+ "execution_count": 12,
"id": "eded974c",
"metadata": {},
"outputs": [
@@ -415,13 +593,13 @@
"Text(0, 0.5, 'Mole Fraction')"
]
},
- "execution_count": 46,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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b4rexPX47R5OPFnv6zFpjTahXKN19utPdtzvNXZrLxIzCfBQFdDm3b1fVtLbGlSDK4OrVq2zatIm3337bFJCKeHt78+CDD7Jq1SoWLlxY4qpreno6KpUKZ2fnqqq80iQk1WbuzY2vKdHmrUOIeqTQUEhEUoQpGMVnxhf7vJVrK+70u5PuPt3p4NkBS42leQoV4t90OfCOGcbrvHIZLO3K1DQ6OhpFUWjVqlWpn7dq1Ypr166RnJyMp6enaX9eXh4vv/wy48ePx9HRsUrKrgoSkmqzopB0LRYK88FCBoAKURFZBVn8dfkvtsVvY9fFXWQUZJg+06q1dPPpRt+AvvTy74W3nbcZKxWiflMU45XaG68i6XQ6xo4di8FgYOHCheYqrVQSkmozB2+wdICCTOO4JM+W5q5IiDojrzCPHRd38EfMH+y8uJMCQ4HpM2crZ3r596JvQF96+vaUWaxF3aC1NV7VMUe/ZdS0aVNUKhUnT55kxIgRJT4/deoULi4uuLsbp8LQ6XQ88MADxMTEsHXr1lp1FQkkJNVuKhW4N4PLhyHljIQkIW5DZ9Cx9/JeNsZsZGvc1mJPowU5BtE3oC99AvrQ3qM9GrXGjJUKUQEqVZlve5mLm5sb/fv3Z+HChUybNq3YuKTExES+//57Jk6ciEqlMgWk6Ohotm3bhpubmxkrL52EpNrOvfk/IUkIUYLeoOfQlUNsjN1I+IVw0vPTTZ/52fsxKGgQg4MH09yluTyeL0QN+Oyzz+jZsycDBw7krbfeKjYFgJ+fH2+//TaFhYWMHj2aw4cP8/vvv6PX60lMTATA1dUVS8vaMRZQQlJt597M+CqDt4Uo5uy1s/xy9hc2xmwkOTfZtN/dxp2BQQMZFDSI9h7tJRgJUcOaNWvGwYMHeeONNxgzZgypqal4e3szYsQIXn/9dVxdXYmNjeXXX38FoEOHDsWO37ZtG3369Kn5wkshIam2Mz3hJleShMjR5bApdhOro1dzJPmIab+jpSP9A/szOHgwnb06y600IcwsMDCQb7755qafBwUFmQZx12YSkmq7G6cBUJQyz1UhRH2hKArHUo6xJnoNG2M2msYZWags6B3QmxFNR3CH7x1oNVozVyqEqG8kJNV2rsGg0hifcMtMBEcfc1ckRI1Iy0vj9/O/szp6NWfT/plQNdAxkPua3ce9Te6VxWKFENVKQlJtZ2FlXOj26jlIjZaQJOq9k6kn+e7kd/wR+wc6gw4AK40VAwIHcF+z+wj1CpVxRkKIGiEhqS5wb24MSSlnILiXuasRosrpDXq2xW/j/07+H4eTDpv2t3JtxahmoxjceDCOlrVr/hQhRP0nIakucG8GZzbKE26i3sksyGRN9BpWnFrBpaxLgHGs0cDggUxoNYE27m3MXKEQoiGTkFQXFA3eTooybx1CVJG4jDi+j/qetWfXmgZiO1s5c3/z+xnbciyetp63OYMQQlQ/CUl1gWeI8TX5lHnrEKKSTqSeYPHRxWyN24qC8fHfps5NmdBqAkMbD8XawtrMFQohxD8kJNUFHi2Mr1lXIDsV7Grf1O1C3EpkUiRfHv2S3Zd2m/b18u/FhFYT6O7TXQZiCyFqJQlJdYGVvfEJt2uxkHQSgsPMXZEQt6UoCgevHOTLI1+yP3E/ABqVhiHBQ3i87eM0dm5s5gqFEOLW1OYuYOHChQQHB2NtbU1oaCi7du26aduEhATGjx9PixYtUKvVTJ06tUSbPn36oFKpSmxDhw41tXnjjTdKfO7t7V0dX6/qFN1yk3FJopZTFIXdl3bz8B8P89imx9ifuB8LlQX3NbuP30b8xjth70hAEkLUCWYNSatWrWLq1KnMmjWLiIgIwsLCGDx4MHFxcaW2z8/Px8PDg1mzZtG+fftS26xZs4aEhATTdvz4cTQaDffff3+xdq1bty7W7tixY1X+/aqUZyvja9JJ89YhxE0UhaNx68fx9JaniUiKwFJtydgWY9lw3wZm95xNgGOAucsUQlSzRx55hBEjRpTYv337dlQqFWlpaWzfvp3hw4fj4+ODnZ0dHTp04Pvvvy9xTG5uLq+//jotWrTAysoKd3d3Ro8ezYkTJ2rgm5j5dtuHH37IpEmTePzxxwFYsGABmzZtYtGiRcydO7dE+6CgID7++GMAli5dWuo5XV1di/28cuVKbG1tS4QkCwuL2n/16EZyJUnUYseSj7Hg8AIOJB4AwMbChvub38/DrR+WJ9WEECXs2bOHdu3a8dJLL+Hl5cX69euZOHEijo6ODBs2DDBeGOnXrx9xcXF88MEHdOvWjStXrjB37ly6devGli1b6N69e7XWabaQVFBQwKFDh3j55ZeL7R8wYAB79uypsn6WLFnC2LFjsbOzK7Y/OjoaX19frKys6NatG++88w6NG9/8FkB+fj75+fmmnzMyMqqsxjK5MSTJGm6ilohNj+WTiE8IvxAOgFatZVzLcUxqOwlXa9fbHC2EaKheeeWVYj8/99xzbNq0iV9++cUUkhYsWMDevXuJiIgw3T0KDAxk9erVdOvWjUmTJnH8+PFqffDDbCEpJSUFvV6Pl5dXsf1eXl4kJiZWSR8HDhzg+PHjLFmypNj+bt26sXz5cpo3b86VK1d466236NmzJydOnMDNrfQnx+bOncvs2bOrpK4KcWsKagvIT4eMS+Dkb75aRIOXnJPMoiOLWBO9Br2iR4WKYU2G8UyHZ/C19zV3eULUS4qikFuYW+P92ljY1MgTqOnp6bRq1cr08w8//ED//v1LDK9Rq9VMmzaNBx98kCNHjtChQ4dqq8nsT7f9+w9eUZQq+4exZMkS2rRpQ9euXYvtHzx4sOl927Zt6dGjB02aNOHbb79l+vTppZ5r5syZxT7LyMggIKAGx1dYWIJbM0iOMl5NkpAkzCCzIJNvjn/D/538P/L0eQD09u/Nc52eo7lLczNXJ0T9lluYS7cfutV4v/vH78dWa1uuY37//Xfs7e2L7dPr9Tdt//PPP/P333/z5ZdfmvadOXOGvn37ltq+KEydOXOmfoYkd3d3NBpNiatGSUlJJa4uVUROTg4rV65kzpw5t21rZ2dH27ZtiY6++bIfVlZWWFlZVbquSvEKuR6STkKz/uatRTQoBsXAurPrWHB4AVfzrgLQ3qM900KnEeoVaubqhBC1Td++fVm0aFGxffv372fChAkl2m7fvp1HHnmExYsX07p16zKdX1GMk9FW9xUus4UkS0tLQkNDCQ8PZ+TIkab94eHhDB8+vNLn//HHH8nPzy/1H8i/5efnExUVRVhYLZ9/qOgJtyvyhJuoOceSjzH3wFyOpRifAA1yDGJa6DT6BvSVSSCFqEE2FjbsH7/fLP2Wl52dHU2bNi227+LFiyXa7dixg2HDhvHhhx8yceLEYp81b96ckydL/3136pRxBYpmzZqVu7byMOvttunTp/PQQw/RuXNnevTowVdffUVcXByTJ08GjLe4Ll26xPLly03HREZGApCVlUVycjKRkZFYWloSEhJS7NxLlixhxIgRpY4xmjFjBsOGDaNRo0YkJSXx1ltvkZGRwcMPP1x9X7YqmAZv18yjj6JhS81N5ePDH/PL2V8AsLWw5en2T/NgqwfRarRmrk6IhkelUpX7tldttn37du655x7ee+89nnzyyRKfjx07llmzZnHkyJFi45IMBgMfffQRISEhN50OqKqYNSSNGTOG1NRU5syZQ0JCAm3atGHDhg0EBgYCxskj/z1nUseOHU3vDx06xA8//EBgYCCxsbGm/WfOnGH37t1s3ry51H4vXrzIuHHjSElJwcPDg+7du7Nv3z5Tv7WW1/UV0ZNOQWGBcZySEFWs0FDIqtOr+DziczJ1mQAMazyMaaHT8LD1MHN1Qoj6YPv27QwdOpTnn3+eUaNGmYbeWFpamqbymTZtGuvWrWPYsGHFpgB45513iIqKYsuWLfX3dluRKVOmMGXKlFI/W7ZsWYl9Rfchb6V58+a3bLdy5coy11erODcCayfISzcuduvTztwViXrm0JVDvLXvLc6mnQWglWsrXun2Ch08O5i3MCFEvbJs2TJycnKYO3dusXkRe/fuzfbt2wGwtrZm69atzJ07l1deeYULFy7g4OBA37592bdvH23atKn2OlVKWVKHKCEjIwMnJyfS09NxdHSsuY6X3QOxu2D4Quj4YM31K+q1rIIsPjr0ET+e+REAZytnnu34LKOajUKj1pi5OiEanry8PGJiYkzLdonyudWfX3l+f5v9SpIoJ+92xpCUeBSQkCQqb3v8dt7c9yZJOUkAjGo2immh03CycjJvYUIIYWYSkuqaoltsCUfNW4eo81JzU3n3wLv8EfsHAI0cGvF6j9fp6tP1NkcKIUTDICGprvFua3xNPAYGA6jNukaxqIMUReG3878x7+95pOeno1FpmNh6IlPaT8HaQi7rCyFEEQlJdY17c9BYQUEmpMWC683XmxPi3xKzE3ljzxv8dfkvAFq6tmR2z9mEuIXc5kghhGh4JCTVNRqtcebtyxHGW24SkkQZ/RH7B2/ufZOMggws1ZY83eFpHm79MFq1zHkkhBClkZBUF3m3NYakxKPQeoS5qxG1XGZBJnP3z+W3878B0NqtNe+EvUNjJwnYQghxKxKS6iLv64O3E4+Ztw5R6x1MPMis3bO4nH0ZtUrN420fZ3L7yXL1SAghykBCUl3kc30adnnCTdyETq/js8jP+Ob4Nygo+Nv7MzdsrkwKKYQQ5SAhqS7yDAFUkJUIWUlg72nuikQtEpMew0s7XyLqahQAI5uO5KWuL2GntTNzZUIIUbfI8+N1kZU9uF9f+fhypFlLEbXLHzF/MPb3sURdjcLZypkFfRYw5445EpCEEKICJCTVVb6djK+XD5u3DlErFOgLeGvfW7y480VyCnPo7NWZ1feu5u7Au81dmhCiAUpMTOTZZ5+lcePGWFlZERAQwLBhw/jzzz9Nbfbs2cOQIUNwcXHB2tqatm3b8sEHH6DX601tYmNjmTRpEsHBwdjY2NCkSRNef/11CgoKauR7yO22usqvExxdCZcOmbsSYWYXMy/ywo4XOJl6EoAn2j7BlA5TsFDL/72FEDUvNjaWO+64A2dnZ+bNm0e7du3Q6XRs2rSJZ555hlOnTvHLL7/wwAMP8Oijj7Jt2zacnZ3ZsmUL//3vf9m3bx8//vgjKpWKU6dOYTAY+PLLL2natCnHjx/niSeeIDs7m/nz51f7d5EFbivIbAvcFrl4EL6+G2zd4cWzoFLVfA3C7LbGbeXV3a+SqcvEycqJuXfOJcw/zNxlCSEqqS4vcDtkyBCOHj3K6dOnsbMrfqs/LS0NrVZLYGAgvXv3ZvXq1cU+/+2337j33ntZuXIlY8aMKfX877//PosWLeL8+fM3rUEWuG3ovNqA2gJyUiAtDlwCzV2RqEGFhkIWHFrAtye/BaCdRzs+6P0B3nbeZq5MCFFdFEVByc2t8X5VNjaoyvgX8atXr/LHH3/w9ttvlwhIAM7Ozvzyyy+kpqYyY8aMEp8PGzaM5s2bs2LFipuGpPT0dFxdXcv3JSpIQlJdpbU2BqWESOO4JAlJDUZaXhozds5gf8J+ACaGTGRqp6loNTL3kRD1mZKby+lOoTXeb4vDh1DZ2pap7dmzZ1EUhZYtW960zZkzZwBo1apVqZ+3bNnS1Obfzp07x6effsoHH3xQpnoqSwZu12V+1wdvX5LB2w3F2WtnGbd+HPsT9mNjYcOHfT7kxS4vSkASQtQKRSN4ynLl6WajfRRFKfX4y5cvM2jQIO6//34ef/zxyhVaRnIlqS7z7QQslZDUQGyN28rMXTPJKczBz96PT+76hOYuzc1dlhCihqhsbGhxuOYf1lHZ2JS5bbNmzVCpVERFRTFixIhS2zRvbvzvVlRUFD179izx+alTpwgJKb7o9uXLl+nbty89evTgq6++KnvxlSQhqS7zu37ZNSESDHpQa8xajqgeiqKw+NhiPo34FICu3l2Z33s+LtYuZq5MCFGTVCpVmW97mYurqysDBw7k888/57nnnit14PaAAQNwdXXlgw8+KBGSfv31V6Kjo3nzzTdN+y5dukTfvn0JDQ3lm2++Qa2uuZtgcrutLvNoAVo7KMiClGhzVyOqQY4uhxk7ZpgC0riW4/ii/xcSkIQQtdbChQvR6/V07dqV1atXEx0dTVRUFJ988gk9evTAzs6OL7/8knXr1vHkk09y9OhRYmNjWbJkCY888gijR4/mgQceAIxXkPr06UNAQADz588nOTmZxMREEhMTa+S7yJWkukytAd8OcOEv43xJnjcfKCfqnpTcFJ758xlOpp7EQm3BrG6zGN18tLnLEkKIWwoODubw4cO8/fbbvPDCCyQkJODh4UFoaCiLFi0CYPTo0Wzbto133nmHXr16kZubS9OmTZk1axZTp041jUnavHkzZ8+e5ezZs/j7+xfrpyZmMJJ5kirI7PMkFdk0C/Z+Bl0eh6E1M9pfVL/zaed5esvTXM6+jIuVCwv6LqCTVydzlyWEqCF1eZ6k2kDmSRJGReOSLh40bx2iyhxMPMjz254noyCDRg6NWNRvEY0cG5m7LCGEaHBkTFJd59/F+Jp4DAqyzVuLqLSNMRt5MvxJMgoyaO/Rnu+GfCcBSQghzERCUl3n5A8OvqDo4XKEuasRFaQoCt8c/4b/7vwvOoOOuxvdzdcDvpYB2kIIYUYSkuo6lQoadTO+j99v3lpEhRgUA3MPzOXDQx8CMKHVBD7o/QHWFjIOQQghzElCUn0QUBSSDpi3DlFuOoOOV3a/wopTK1Ch4r9d/stLXV9CI3NeCSGomSe46qOq+nOTgdv1QUBX42v8flAU49UlUevl6/OZsWMG2+O3Y6Gy4J2wdxgcPNjcZQkhagGt1rjUUE5ODjblmPFaGOXk5AD//DlWlISk+sC7HVjYQO4146SSHrJURW2Xrcvmua3PcSDxAFYaKz7s8yG9/HuZuywhRC2h0WhwdnYmKSkJAFtb2zKth9bQKYpCTk4OSUlJODs7o9FU7qq8hKT6QKM1LnZ74S/j1SQJSbVaen46T295mmMpx7DT2vHpXZ/SxbuLucsSQtQy3t7eAKagJMrO2dnZ9OdXGRKS6ouArv+EpE4PmbsacRPJOck8Gf4kZ9PO4mzlzBf9vqC1e2tzlyWEqIVUKhU+Pj54enqi0+nMXU6dodVqK30FqYjZB24vXLjQNCNmaGgou3btumnbhIQExo8fT4sWLVCr1UydOrVEm2XLlhkXAfzXlpeXV+F+6wQZvF3rJWYn8sgfj3A27SyeNp4sG7RMApIQ4rY0Gg3W1taylXGrqoAEZg5Jq1atYurUqcyaNYuIiAjCwsIYPHgwcXFxpbbPz8/Hw8ODWbNm0b59+5ue19HRkYSEhGLbjdOSl7ffOsH/+uDtlNOQc9W8tYgSErMTmbRpEnGZcfjZ+/Ht4G9p4tzE3GUJIYS4BbOGpA8//JBJkybx+OOP06pVKxYsWEBAQIBpAbx/CwoK4uOPP2bixIk4OTnd9LwqlQpvb+9iW2X6rRPs3MCtqfH9xb/NW4soJjE7kcc2PWYKSEsHLsXfwf/2BwohhDArs4WkgoICDh06xIABA4rtHzBgAHv27KnUubOysggMDMTf35977rmHiIh/ZqKuaL/5+flkZGQU22qdRt2Nrxcq9+cnqk5RQIrPjDcFJF97X3OXJYQQogzMFpJSUlLQ6/V4eXkV2+/l5UViYmKFz9uyZUuWLVvGr7/+yooVK7C2tuaOO+4gOjq6Uv3OnTsXJycn0xYQEFDhGqtN4B3G1wt/mbcOAUhAEkKIus7sA7f/Pe+DoiiVmguie/fuTJgwgfbt2xMWFsaPP/5I8+bN+fTTTyvV78yZM0lPTzdt8fHxFa6x2hSFpMsRstitmUlAEkKIus9sUwC4u7uj0WhKXL1JSkoqcZWnMtRqNV26dDFdSapov1ZWVlhZWVVZXdXCJRCcAiA93jgVQJO7zF1Rg5Sam8oTm5+QgCSEEHWc2a4kWVpaEhoaSnh4eLH94eHh9OzZs8r6URSFyMhIfHx8arRfsym6mhQrt9zMIaMgg8lbJhObEYu3nbcEJCGEqMPMOpnk9OnTeeihh+jcuTM9evTgq6++Ii4ujsmTJwPGW1yXLl1i+fLlpmMiIyMB4+Ds5ORkIiMjsbS0JCQkBIDZs2fTvXt3mjVrRkZGBp988gmRkZF8/vnnZe63TgvsCUdXyuBtM8jR5fDMlmc4dfUUrtauLO6/WAKSEELUYWYNSWPGjCE1NZU5c+aQkJBAmzZt2LBhA4GBgYBx8sh/z13UsWNH0/tDhw7xww8/EBgYSGxsLABpaWk8+eSTJCYm4uTkRMeOHdm5cyddu3Ytc791WtCdxtdLB0GXC1pZGLEmFOgLmLptKpHJkThYOvBV/68Icgoyd1lCCCEqQaUoimLuIuqijIwMnJycSE9Px9HR0dzl/ENR4IOWkJUID/8OwWHmrqjeKzQUMmPHDP6M+xMbCxu+6v8VHTw7mLssIYQQpSjP72+zP90mqphKBUEyFUBNURSFN/a8wZ9xf6JVa/m478cSkIQQop6QkFQfBV4fgB6727x1NACfRnzKunPr0Kg0zO89nx6+PcxdkhBCiCoiIak+Crw+Luni31CYb95a6rGVp1ay+NhiAF7v8Tp3NZIpF4QQoj6RkFQfebQAO08ozJN13KrJnxf+5J397wAwpcMURjYbaeaKhBBCVDUJSfWRSgWNexvfn99u1lLqo8ikSF7a9RIKCqOajWJyu3owdYQQQogSJCTVV437GF8lJFWp8+nn+c/W/5Cvz6e3f29e7f5qpZbREUIIUXtJSKqvgq9fSbp0CPLSzVtLPZGam8qULVNIz0+nnXs75vWah4XarFONCSGEqEYSkuor5wBwawqKQZ5yqwL5+nye3/Y8l7IuEeAQwKd3f4qt1tbcZQkhhKhGEpLqM7nlViUUReH1Pa9zJPkIDpYOfHb3Z7hau5q7LCGEENVMQlJ9JiGpSnx19CvWn1+PRqXhwz4f0tipsblLEkIIUQMkJNVnQXeCSg0pZyD9krmrqZM2xW7is8jPAJjVfRbdfbqbuSIhhBA1RUJSfWbjAr7XFwSO2WHeWuqg4ynHmbV7FgATWk3g/ub3m7kiIYQQNUlCUn1nuuUmIak8knOSeX7r8+Tr8+nl34sZnWeYuyQhhBA1TEJSfXfjuCRFMWcldYZOr2P69ukk5SbRxKkJ74W9h0atMXdZQgghapiEpPrOvytY2EBWIiSfMnc1dcK7B94lMjkSB60DH9/1MfaW9uYuSQghhBlISKrvtNYQ2NP4/uwW89ZSB6w+s5ofz/yIChXv9XqPQMdAc5ckhBDCTCQkNQTN+htfozebt45a7kjyEd7e/zYAz3Z8ljD/MDNXJIQQwpwkJDUETa+HpAt7IT/TvLXUUsk5yUzbNg2dQUe/Rv14vO3j5i5JCCGEmUlIagjcmoBLMBh0ELPT3NXUOoWGQl7c+SLJuck0cWrCW3e+JYvWCiGEkJDUIKhUcsvtFj6L+IxDVw5hp7VjQd8F2GntzF2SEEKIWkBCUkNRdMsteotMBXCDHfE7WHJ8CQCze84myCnIvAUJIYSoNSQkNRRBd4KFNWRclKkArruUdYlXdr8CwPiW4xkYNNDMFQkhhKhNJCQ1FJa2xqAEcssNKNAXMGP7DDIKMmjr3lZm1BZCCFGChKSGxHTLLdy8ddQCHxz8gOOpx3G0dGR+7/loNVpzlySEEKKWkZDUkBQN3o7bC3kZ5q3FjLbGbeWHUz8AMDdsLr72vmauSAghRG0kIakhcWsCro3BUGhcy60BSsxO5H97/gfAI60foZd/LzNXJIQQoraSkNTQNBtgfD2zybx1mIHeoGfmrpmk56cT4hbCcx2fM3dJQgghajEJSQ1Ni8HG1zN/gEFv3lpq2JLjSzh45SA2FjbM6zVPxiEJIYS4JQlJDU3gHWDtBDkpcPFvc1dTYyKTIlkYuRCAV7u/KgvXCiGEuC0JSQ2NRvvPLbfTG8xbSw3JLMjkpZ0voVf0DG08lGGNh5m7JCGEEHWAhKSGqOiW26mGEZLePfAul7Mv42fvx6vdXpV12YQQQpSJ2UPSwoULCQ4OxtramtDQUHbt2nXTtgkJCYwfP54WLVqgVquZOnVqiTaLFy8mLCwMFxcXXFxc6NevHwcOHCjW5o033kClUhXbvL29q/qr1V5N+4FaC6nRkBJt7mqqVfiFcH499ytqlZq5YXOxt7Q3d0lCCCHqCLOGpFWrVjF16lRmzZpFREQEYWFhDB48mLi4uFLb5+fn4+HhwaxZs2jfvn2pbbZv3864cePYtm0be/fupVGjRgwYMIBLly4Va9e6dWsSEhJM27Fjx6r8+9Va1k7/zL5dj2+5JeckM2fvHAAea/MYHT07mrkiIYQQdYlKUcq32qler2fZsmX8+eefJCUlYTAYin2+devWMp+rW7dudOrUiUWLFpn2tWrVihEjRjB37txbHtunTx86dOjAggULbluvi4sLn332GRMnTgSMV5LWrl1LZGRkmWv9t4yMDJycnEhPT8fR0bHC5zGbA4thwwxo1AMe+8Pc1VQ5RVF45s9n2HVpFy1dW/LDkB/kaTYhhBDl+v1d7itJzz//PM8//zx6vZ42bdrQvn37YltZFRQUcOjQIQYMGFBs/4ABA9izZ095y7qpnJwcdDodrq6uxfZHR0fj6+tLcHAwY8eO5fz587c8T35+PhkZGcW2Oq1oXFL8fshOMW8t1eCnMz+x69IuLNWWzL1zrgQkIYQQ5WZR3gNWrlzJjz/+yJAhQyrVcUpKCnq9Hi8vr2L7vby8SExMrNS5b/Tyyy/j5+dHv379TPu6devG8uXLad68OVeuXOGtt96iZ8+enDhxAjc3t1LPM3fuXGbPnl1ldZmdkz94t4PEo8Y5kzpOMHdFVSY+I575B+cD8Hyn52nq0tTMFQkhhKiLyn0lydLSkqZNq+6Xzr+fNFIUpcqePpo3bx4rVqxgzZo1WFtbm/YPHjyYUaNG0bZtW/r168f69esB+Pbbb296rpkzZ5Kenm7a4uPjq6RGs2p5j/E16jfz1lGFDIqB1/e+Tm5hLl28uzAhpP6EPyGEEDWr3CHphRde4OOPP6acQ5lKcHd3R6PRlLhqlJSUVOLqUkXMnz+fd955h82bN9OuXbtbtrWzs6Nt27ZER9/8SS8rKyscHR2LbXVeyHDj67mtkJdu3lqqyM9nfubvxL+xsbBhdo/ZqFVmf4BTCCFEHVXu2227d+9m27ZtbNy4kdatW6PVFh/rsWbNmjKdx9LSktDQUMLDwxk5cqRpf3h4OMOHDy9vWcW8//77vPXWW2zatInOnTvftn1+fj5RUVGEhYVVqt86x7MluLeAlNPGtdzaPWDuiiolISuBDw5+AMBzHZ8jwDHAzBUJIYSoy8odkpydnYuFmsqYPn06Dz30EJ07d6ZHjx589dVXxMXFMXnyZMB4i+vSpUssX77cdEzRE2lZWVkkJycTGRmJpaUlISEhgPEW22uvvcYPP/xAUFCQ6UqVvb099vbGOXJmzJjBsGHDaNSoEUlJSbz11ltkZGTw8MMPV8n3qlNChsPOeXByXZ0OSYqiMHvvbHIKc+jo2ZHxrcabuyQhhBB1XLlD0jfffFNlnY8ZM4bU1FTmzJlDQkICbdq0YcOGDQQGGtfVSkhIKDFnUseO/8x1c+jQIX744QcCAwOJjY0FjJNTFhQUMHr06GLHvf7667zxxhsAXLx4kXHjxpGSkoKHhwfdu3dn3759pn4blKKQFB0O+Zlg5WDuiipk7dm1/HX5L6w0VszuKbfZhBBCVF6550kqkpyczOnTp1GpVDRv3hwPD4+qrq1Wq/PzJBVRFPg0FK6eg9FLoc0oc1dUbkk5SYxYO4JMXSbTQ6fzaJtHzV2SEEKIWqpa50nKzs7msccew8fHh169ehEWFoavry+TJk0iJyenwkULM1Gp/hnAfXKdeWupAEVReHPvm2TqMmnj1oaHQh4yd0lCCCHqiXKHpOnTp7Njxw5+++030tLSSEtLY926dezYsYMXXnihOmoU1a0oJEWHQ0G2eWspp40xG9l+cTsWagvm3DEHC3W57yALIYQQpSp3SFq9ejVLlixh8ODBpkfhhwwZwuLFi/n555+ro0ZR3Xzag3Mg6HLg7BZzV1NmaXlpvHvgXQAmt5tMM5dmZq5ICCFEfVLukJSTk1PqPEaenp5yu62uqqO33BYcXsC1/Gs0dW7KY20fM3c5Qggh6plyh6QePXrw+uuvk5eXZ9qXm5vL7Nmz6dGjR5UWJ2pQyAjj6+k/oKD2h93DVw6zOno1AP/r8T+0almbTQghRNUq9wCOjz/+mEGDBuHv70/79u1RqVRERkZibW3Npk2bqqNGURP8OhlvuaVdgDMba/VTbjqDjjf3vQnAqGaj6OjZ8TZHCCGEEOVX7itJbdq0ITo6mrlz59KhQwfatWvHu+++S3R0NK1bt66OGkVNUKmg7f3G98dq99iy/zv5f5xNO4uLlQtTO001dzlCCCHqqQo9CmRjY8MTTzxR1bUIc2t7P+yab3zKLecq2Lqau6ISLmVdYlHkIgBe6PwCztbO5i1ICCFEvVWmkPTrr78yePBgtFotv/766y3b3nvvvVVSmDADz5bg1RauHIOoXyH0EXNXVIyiKLyz/x3y9Hl09urMvU3k3zUhhBDVp0whacSIESQmJuLp6cmIESNu2k6lUqHX66uqNmEObUcbQ9Kxn2tdSNoat5WdF3diobbgte6voVKpzF2SEEKIeqxMY5IMBgOenp6m9zfbJCDVA0UDtmN3Q/ol89ZygxxdDnMPzAXg0daP0ti5sZkrEkIIUd+Ve+D28uXLyc/PL7G/oKCA5cuXV0lRwoycA6BRT0CBE2vMXY3J4mOLuZJzBT97P55s96S5yxFCCNEAlDskPfroo6Snp5fYn5mZyaOPysKi9ULb0cbXYz+Zt47r4jPi+fbEtwD8t8t/sbawNnNFQgghGoJyhyRFUUodC3Lx4kWcnJyqpChhZiEjQG0BCUcgJdrc1TDv4Dx0Bh09fXvSN6CvucsRQgjRQJR5CoCOHTuiUqlQqVTcfffdWFj8c6herycmJoZBgwZVS5Gihtm5QZO7IHqzcQB335lmK+WvS3+xPX47FioLXurykgzWFkIIUWPKHJKKnmqLjIxk4MCB2Nvbmz6ztLQkKCiIUaNq7yzNopza3m8MSUdXQp+XjZNN1jCdXmdawHZcq3EyWFsIIUSNKnNIev311wEICgpi7NixWFlZVVtRohZoORQsHeBaLMTthcCeNV7CD6d+IDYjFldrVya3n1zj/QshhGjYyj0mKSQkhMjIyBL79+/fz8GDB6uiJlEbWNpB6xHG95Hf13j3KbkpfHHkCwCe7/Q8jpaONV6DEEKIhq3cIemZZ54hPj6+xP5Lly7xzDPPVElRopboMN74emItFGTXaNefHP6ELF0WIW4hjGg6okb7FkIIIaACIenkyZN06tSpxP6OHTty8uTJKilK1BKNeoBLEBRkQdRvNdbtqaunWHt2LQAzu85ErSr3v6ZCCCFEpZX7t4+VlRVXrlwpsT8hIaHYE2+iHlCpoMODxvc1dMtNURTmH5yPgsLgoMF08OxQI/0KIYQQ/1bukNS/f39mzpxZbELJtLQ0XnnlFfr371+lxYlaoP1Y42vMTkiLq/budl/azf6E/WjVWp7r9Fy19yeEEELcTLlD0gcffEB8fDyBgYH07duXvn37EhwcTGJiIh988EF11CjMybkRBPcyvj+yslq7KjQU8uGhDwF4sNWD+Dv4V2t/QgghxK2UOyT5+flx9OhR5s2bR0hICKGhoXz88cccO3aMgICA6qhRmNuNt9wUpdq6WXd2HWfTzuJo6cjjbR+vtn6EEEKIsqjQICI7OzuefFIWGW0wWg2D9S8Y50yK3Q3BYVXeRY4uh88iPwNgcvvJOFnJEjdCCCHMq8IjrU+ePElcXBwFBQXF9t97772VLkrUMpZ20GYUHP7WuFVDSPr2xLek5KYQ4BDA2BZjq/z8QgghRHmVOySdP3+ekSNHcuzYMVQqFcr12y9Fa2rp9fqqrVDUDqGPGAPSyXUweB7YulbZqZNzkvnmxDeAceJIrUZbZecWQgghKqrcY5Kef/55goODuXLlCra2tpw4cYKdO3fSuXNntm/fXg0lilrBtyN4twN9ARxZUaWnXnRkEbmFubTzaMeAwAFVem4hhBCiosodkvbu3cucOXPw8PBArVajVqu58847mTt3Ls89J49s11sqlfFqEsChZVU2gDsuI4410WsAeCH0BdMVSSGEEMLcyh2S9Ho99vb2ALi7u3P58mUAAgMDOX36dNVWJ2qXtveD1hZSzhgXva0Cn0V+hl7RE+YXRievkjO5CyGEEOZS7pDUpk0bjh49CkC3bt2YN28ef/31F3PmzKFx48ZVXqCoRawdjQO4wXg1qZJOXz3NxpiNADJxpBBCiFqn3CHp1VdfxWAwAPDWW29x4cIFwsLC2LBhA5988km5C1i4cCHBwcFYW1sTGhrKrl27bto2ISGB8ePH06JFC9RqNVOnTi213erVqwkJCcHKyoqQkBB++eWXSvUrbtD5UePribWQc7VSp/o04lMABgUNoqVry0oWJoQQQlStcoekgQMHct999wHQuHFjTp48SUpKCklJSdx1113lOteqVauYOnUqs2bNIiIigrCwMAYPHkxcXOnLX+Tn5+Ph4cGsWbNo3759qW327t3LmDFjeOihhzhy5AgPPfQQDzzwAPv3769wv+IGvp3Auy3o8+HoqgqfJiIpgh0Xd6BRaXimwzNVWKAQQghRNVSKUvYRuIWFhVhbWxMZGUmbNm0q3Xm3bt3o1KkTixYtMu1r1aoVI0aMYO7cubc8tk+fPnTo0IEFCxYU2z9mzBgyMjLYuHGjad+gQYNwcXFhxYoVle63SEZGBk5OTqSnp+Po6FimY8rq6MU0vJ2s8XSwrtLzVpm/vzZOLunREqbsMw7qLgdFUXh006McunKIUc1G8UbPN6qnTiGEEOJfyvP7u1zzJFlYWBAYGFglcyEVFBRw6NAhXn755WL7BwwYwJ49eyp83r179zJt2rRi+wYOHGgKUxXtNz8/n/z8fNPPGRkZFa7xVpbvjeWNX08wuI0Pnz9YSwcyt70fNr8GyacqNAP3nst7OHTlEJZqSya3n1xNRQohRP2jKAoYDCh6PRQWohQW/vNer0cp1INBb9ynKKDXoxgM148xgGIouc9w4896MCg333f9HMZ9BmMb0zluOE5vQDH86zjDjfsMKIoBFMBw/ZwGg/GzovcK2LRrh8vYMWb78y73ZJKvvvoqM2fO5LvvvsPVteITCqakpKDX6/Hy8iq238vLi8TExAqfNzEx8ZbnrGi/c+fOZfbs2RWuq6xCA11QqVSsP5bAQ+dT6d7Yrdr7LDdrJ2g/Fg4uhQNflSskKYrCJxHGsWtjW47F2867uqoUQogSFEWBwkIM+QUougIUnQ50OpR/bwUFJfcV+/wWn/1rQ1+IorseZvSFKIX664FGB9ff39hG0Rca9/87AOn1oNOZ+4+wRin5+XUrJH3yySecPXsWX19fAgMDsbOzK/b54cOHy3W+f8+LoyhKpefKKcs5y9vvzJkzmT59uunnjIyMalnQt7WvE+O6BvDdvjg+DD/Dqie71865g7o8YQxJp9ZD+kVw8i/TYTsv7uRk6klsLGyY1HZSNRcphKjtFEVB0ekwZGej5ORgyMnBkJuLIScXJT8PQ34+yvXNkHf9NT8PJb8AJS8PQ0E+imn/9bZ5/xxXvK3xlesPH9U7Wi0qtRo0mn9eVap/flarQaNGpdaAWn1DWxWoNcbPVOpi7YvaoFYZj7uxjUYNqtLPWWr7onNq1MZhGir19Xbqku9VKlCrsGrS1Kx/pOUOSSNGjKiSjt3d3dFoNCWu3iQlJZW4ylMe3t7etzxnRfu1srLCysqqwnWVxzN9m/LjwYsciLnKX2dTubOZe430Wy5eIRAUBrG74O8l0O/12x6iKAqLjhjHgY1tORZX66pb2kQIUTMM+fkYMjPRZ2ZiyMrGkJ2NIfd6uMnJQcnNNb7PLgo7RZ9lo+Tc8PMNn2HO5axUKlSWlqi02pLbTff/854b9qstLYv9rNJqUVloUVlYoLLQgMbihvca43vNLfZbWPyrjfGzUtuoy/0cliiDMoekpUuX8uCDD/L667f/ZVgWlpaWhIaGEh4ezsiRI037w8PDGT58eIXP26NHD8LDw4uNS9q8eTM9e/as1n6rko+TDeO7NmLZnlg+CD/NHU3daufVpG5PGUPS4W+h90ugvfVA812XdnEi9QQ2FjY80vqRmqlRCGGiKApKXh769HTjlpaOPj0NQ0YG+oxMDFmZ6DOzjCEo63oIKnp/fb9Sjbd7VFZWqG1sUNvaorKxQW1lhcraGpWVJWora+Pn1laoLI371VaWqErstzIeZ3X9OGtrVJbXP7++33iclTEEaTTV9n1E3VfmkPTEE09wzz334OnpCYCvry979uwhKCiowp1Pnz6dhx56iM6dO9OjRw+++uor4uLimDzZOJh35syZXLp0ieXLl5uOiYyMBCArK4vk5GQiIyOxtLQkJCQEMK4t16tXL9577z2GDx/OunXr2LJlC7t37y5zv7XBlD5NWPl3HBFxaWw/k0zfFp7mLqmk5oPB0R8yLsKJNdBh/E2bKorCosjrV5FayFUkISpLURQMGRkUpl5Ff+0qhVevok+9ij4t7Z8QlH49BJkCUTpKQUGV9K+2s0Pt4GB8tbU1btcDjtruesixtUVta1dsf1E7VdExNxyrsij3zQ0hqlWZ/43890wBmZmZpkklK2rMmDGkpqYyZ84cEhISaNOmDRs2bCAwMBAwTh7577mLOnbsaHp/6NAhfvjhBwIDA4mNjQWgZ8+erFy5kldffZXXXnuNJk2asGrVKrp161bmfmsDT0drJvYI4qud5/lg82n6NPeofVeTNBbQZRL8ORv2fwntx910OoDdl3ZzPPU4NhY2PNz64RouVIi6QdHpKExNpTA5mcKkJAqTU4wBKPUq+qtXKbxmDEKF166iv5YGhYUV60ijQePkZNrUTo5oHBxRO9ijsXdA7eCAxsEetb2DcZ+DA2p7ezT29qZgJFdgRENQ5nmS1Go1iYmJpitJDg4OHDlypMEuRVKd8yQVSc3KJ2zeNnIK9HwxIZRBbWrhk2DZqfBhK+PkkpPCIaBriSaKojBhwwSOphzl4ZCHmdFlhhkKFcJ8lMJCCpOS0CVeMQYgUwhKLrbpr10r9+LRant7NK6uWLi4oHFzQ+PijMbJ+Z8Q5Oz0r0DkbLzSU9v+0iVEDamWeZJUKlWx/1P9+2dR9dzsrXjsjmA+23aWj8LPMCDEC7W6lv2Z27kZ502K/M54NamUkPTX5b84mnIUa401j7R5pOZrFKIaKQYD+tRUdImJ6BISKExMRJdw/X1CArrERAqTk8v+RJWFBRbu7lh4eBhf3d3QuLiicXXBwtUVjasbFq4uaFxd0bi6GgcLCyGqRblutzVv3twUjLKysujYsSPqf42ov3q1cut5ieKeCGvMt3tjOX0lk9+PJXBve19zl1RS1yeMIenkWsh8Gxz+ueJ14xNtD7R4AHebWviknhC3oU9PpyD+IrqL8RTEx6Mren/xEoUJCWUbzKzVovX0xMLT0xiAbtw8PUz7Nc7O8qSSELVEmUPSN998U511iJtwstXyRFhjPgw/w4ItZxjSxhsLTS37D6hvBwjoDvH7jJNL3v0/00d7L+/laPJRrDRWPNrmUfPVKMQtKIpCYVISBTExFMTGmoJQwUXjqyEz89YnUKmMYcfHG623D1ofH7Q+3lh4+6D19UHr7Y3GzU3CjxB1TJlD0sMPy2Bbc3n0jiC++SuG88nZrI28zOjQsk3cWKN6Pgur9hnnTLpzOljZoygKC48sBOD+5vfLVSRhdvqsbGMIKgpDMTHkx8ZQEHsBJSfnlsdqPNyx9A9AG+CPpb8/Wv8AtP5+aH390Hp6oJLbXkLUO/K8ZR3gYK3lqd5NeHfjKT7+8wzDO/iirW1Xk1oMBtcmcPUcRHwH3Sdz8MpBjiQfwUpjxWNtHjN3haIB0WdlU3A2mrzoaPKvbwXnzlOYlHTzgzQaLP39sQwKQhvYyBiI/P2xDPBH6+eH2ta25r6AEKJWkJBUR0zsEcjXu2KIv5rLTwcvMr5bI3OXVJxaAz2egfXTYd/n0OVxlhxfAsCIpiPwsPUwc4GiPjLk51Nw/rwpCOWfMb7qLl++6TEaNzcsg4OwDArCKjgYy+BgLIOCsfT3k6tBQohiJCTVEbaWFkzp04Q5v5/k063R3NfJD2ttLZunpMN42PY2pMVx6tCX/HXpLzQqjcyuLaqEPiub/NOnyDtxkryoKPJOniT/3LmbzhVk4emJVfPmWDVrZtyaNMYyOBhNNU3ZIYSofyQk1SHjuzVi8a7zJKTnsXxvLE/2amLukorT2kDXJ2H7XJYeXwoaGBA0AH+HWjiGStRq+owM8k6cIO/kSWMoOnmSggsXSp1DSO3khHWzZlg1b/ZPIGraFI2zc80XLoSoVyockgoKCoiJiaFJkyZYyFTyNcJaq2Fa/+b89+ejfLb1LA90DsDZtpbdHujyOPF7P2GTOh9QManNJHNXJGo5pbCQ/LNnyY08Qu6RI+QePUrBuXOltrXw8sI6JMS4tTa+Wnh5yZxtQohqUe50k5OTw7PPPsu3334LwJkzZ2jcuDHPPfccvr6+vPzyy1VepPjHqE7+LN0dw6nETD7depbX7gkxd0nF2bmzLLgdhvxL3Kmyp4VrC3NXJGqZwtRUciMijIEo8gi5J06U+mSZ1t8f69at/wlFIa2wcHMzQ8VCiIaq3CFp5syZHDlyhO3btzNo0CDT/n79+vH6669LSKpmGrWKmUNa8fDSAyzfG8vDPYJo5FZ7nrpJyU1hrc74BNGky+cg+TR4SFBqyHSXL5Nz8CA5fx8k5+BBCmJiSrRR29lh3a4tNu3bG7d27SQQCSHMrtwhae3ataxatYru3bsXu8QdEhLCuZtcIhdVq3dzD8KaubMrOoV5m07x2fhO5i7J5Puo7ykw6GivsiU0Lx/2fArDPzN3WaKGKIpCQWwsOQcPkns9GJX2pJlVs2bYdOiATft22LRvj2XjxrJgqhCi1il3SEpOTjYtcnuj7OxsGRdQg2YObsXus7v4/WgCj4el0SHA2dwlkVmQycpTKwGY1OYxVOf/C0dWQp+Z4ORn5upEdSlMSSF77z6y9+whe+9eChMTizfQaLBu3Rrbzp2NW6eOMqhaCFEnlDskdenShfXr1/Pss88CmILR4sWL6dGjR9VWJ24qxNeR+zr6s/rwRd5ZH8Wqp7qbPaT+dOYnsnRZNHFqQu+OT8DR3yB2F+z5BAa/Z9baRNUx5OSQc+gQ2X8ZQ1H+6dPFPldptcZbZl2uh6IOHVDb2ZmpWiGEqLhyh6S5c+cyaNAgTp48SWFhIR9//DEnTpxg79697NixozpqFDcxY2Bzfj96mQOxV/njeCKD2/qYrRadXsf3J78H4NE2j6JWqSHsBWNIOrTM+N6+5BVIUTfkx8SQtWMHWTt2kHvwUIkFXa1CWmHXowd2PXtiGxqK2traTJUKIUTVKXdI6tmzJ3/99Rfz58+nSZMmbN68mU6dOrF3717atm1bHTWKm/BxsuGpXo35ZOtZ3lofRd+WnmabYHLThU0k5SbhYePBkOAhxp2N+4BfZ7h0EPZ+Bv3nmKU2UX5KQQE5Bw+StWMHmdu3o7sQV+xzra8vdnf0xK5HD2y7d8fC1dVMlQohRPWp0ARHbdu2NU0BIMzr6T5N+fnQRS6l5fLljvM8369ZjdegKArLTywHYGzLsWg1WuMHKhX0mgErxhoXvr1jKtjKL9PaSp+WRua27WRt/ZPsv/ZguPGxfK0Wuy6dse/dG7tevbAMCjL77V0hhKhuZQpJGRkZZT6ho0z5X6NsLDW8MrQV//khgoXbzzIq1A9/l5qdEuDQlUNEXY3CWmPN/c3vL/5h80Hg1RauHIP9X0LfmTVam7g1XVISWX/+SWZ4ONn7D4Beb/pM4+GOfa9e2Pfpg12PnmjsZVyREKJhKVNIcnZ2vu3fGhVFQaVSob/hP7KiZgxt68P/BV9gf8xV5m44xecP1uyUAP938v8AGNZkGC7WLsU/VKkgbDr8/CjsX2RcBNdagrQ5FVy8RGZ4OJnh4eRGRBRb6sOqRQsc+vXDvm9frENaoVKrzVipEEKYV5lC0rZt26q7DlEJKpWKN+5tzdBPdrH+WAIPnk2hZ1P3Guk7LiOObfHGfz8mhEwovVHIcHBrBqnR8Pdi4yBuUaMKk5PJ2PgHGevXk3vkSLHPrNu3w3HAABz69cMyMNBMFQohRO1TppDUu3fv6q5DVFIrH0ce6h7It3sv8MZvJ1j/XBhaTfVfBfg+6nsUFO70u5PGTo1Lb6TWGMcm/fKUcXLJLk/I1aQaoM/IIDM8nIz168netx8MBuMHKhW2XbrgMGAADv3uRuvtbd5ChRCilqrQwO20tDSWLFlCVFQUKpWKkJAQHnvsMZycnKq6PlEO0/o359cjlzlzJYulu2N4qneTau0voyCDX87+AsBDIQ/dunGb0bBzvvFq0v4voPd/q7W2hkrR6cjasYP0devI2r6j2KP61u3b4TR0KA6DBqEtZUJYIYQQxakU5YYBCWVw8OBBBg4ciI2NDV27dkVRFA4ePEhubq5pOoCGICMjAycnJ9LT02vVYPWfDsbz4s9HsdaqCZ/WmwDX6hvEvez4Mj449AFNnZuy5t41t3/a6djPsHoSWDnB1KNg41xttTU0eadPk77mF9J/+w391aum/ZZNm+B0zz04DhmCZaNGZqxQCCFqh/L8/i53SAoLC6Np06YsXrwYCwvjhajCwkIef/xxzp8/z86dOyteeR1SW0OSoiiM/Wof+2Ou0reFB0sf6VItj2oXGgoZvGYwidmJzOk5h5HNRt7+IIMBFvWE5Cjo9V+4a1aV19WQ6NPSSP99Pelr1pB38qRpv8bdHad778Vp+L1YNW8uj+oLIcQNqjUk2djYEBERQcuWLYvtP3nyJJ07dybnxrlV6rHaGpIAziZlMeTjXRToDXw+vhND21X9TNxbLmxh2vZpuFi5EH5/OFYaq7IdeHId/DgRLB2MV5Nk3qRyURSF3IgIrq1cSeYfm1AKCowfaLU49OmD030jsQ8LQ2VRoTvpQghR75Xn93e5/0vq6OhIXFxciZAUHx+Pg4NDeU8nqkFTT3ue7tOEj/+M5o3fThDW3B1Ha22V9lG0kO2o5qPKHpAAWg4D77aQeMy4plu/N6q0rvpKn5VF+q+/krZyFflnzpj2W7VqhfPIkTgOuwcLF5dbnEEIIUR5lTskjRkzhkmTJjF//nx69uyJSqVi9+7dvPjii4wbN646ahQV8HSfJvx25DLnU7J5/4/TvDmiTZWd+1zaOfYn7ketUvNA8wfKd7BaDX1egZXjjJNLdn8G7D2qrLb6Ju/UKa59/wPp69ejXL9Kq7K2xnHoEFzGjsOmbdX9cxVCCFFcuUPS/PnzUalUTJw4kcLCQgC0Wi1PP/007777bpUXKCrGWqvhrZFtGL94P9/tv8DwDr50DqqaW1tFV5H6+PfBx74Ct/JaDAbfTnD5MOz+CAa9UyV11ReKXk/W9u1c/XY5OQcOmPZbNmmCy9ixOA2/F00tu8UrhBD1UbnHJBXJycnh3LlzKIpC06ZNsbWt2aUwzK02j0m60YyfjvDzoYs0drdjw/NhlV4AN6sgi7t/upucwhy+6v8VPXx7VOxEZ7fAd6NAYwnPHgJnefJKn5VF+urVXP3ue3Tx8cadGg0OA/rjOn48Np07yyBsIYSopGodk1TE1taWtm3bVvRwUUNeGxrCzjPJnE/J5sPwM7wypFWlzvfb+d/IKcwhyDGI7j7dK36iJndDcC+I2Qlb34b7vqxUXXWZLiGBq8u+Je3nnzFkZwOgdnLC5YEHcBk/Dq1P1Q+8F0IIcXtlDkmPPfZYmdotXbq0wsWIqudkq+WdkW15fPlBvt51noGtvQkNrNgAX0VRTLfaxrYcW7mrGioV9JsNi/vC0VXQ8z/GAd0NSP7Zs6R+vYT033+H67euLRs3xnXiRJzuHYa6gV2dFUKI2qbM61YsW7aMbdu2kZaWxrVr1266ldfChQsJDg7G2tqa0NBQdu3adcv2O3bsIDQ0FGtraxo3bswXX3xR7PM+ffqgUqlKbEOHDjW1eeONN0p87l2Pl2boF+LFfR39MCjw4s9HyNNVbBHiA4kHOJ9+HlsLW4Y3GV75wvw6Qev7AAW2vFH589URuZGRxD/zH87fM4z0tWuhsBDbrl0J+OpLGv/+Gy5jx0hAEkKIWqDMV5ImT57MypUrOX/+PI899hgTJkzA1bVyA4FXrVrF1KlTWbhwIXfccQdffvklgwcP5uTJkzQqZXbgmJgYhgwZwhNPPMF3333HX3/9xZQpU/Dw8GDUqFEArFmzhoKiuWOA1NRU2rdvz/3331/sXK1bt2bLli2mnzWayo3Vqe1eH9aa3WdTOJ+czUfhZ5hZgdtuK06tAGBYk2HYW9pXTWF3vwZRvxrHKJ3fAY3r7zqB2fsPkPL55/8MxlapcOjXD7cnHsemXTvzFieEEKKEcg3czs/PZ82aNSxdupQ9e/YwdOhQJk2axIABAyp066Vbt2506tSJRYsWmfa1atWKESNGMHfu3BLtX3rpJX799VeioqJM+yZPnsyRI0fYu3dvqX0sWLCA//3vfyQkJGBnZwcYryStXbuWyMjIctdcpK4M3L7RlpNXeHz5QdQq+Glyz3LddkvKSWLAzwPQK3rW3LuGZi7Nqq6wDS/Cga/AtyM8vtU4TUA9oSgKOUXh6O+/jTu1WpzuHYbbpElYNb7JosBCCCGqRXl+f5frt5GVlRXjxo0jPDyckydP0rp1a6ZMmUJgYCBZWVnlKrKgoIBDhw4xYMCAYvsHDBjAnj17Sj1m7969JdoPHDiQgwcPorthIc8bLVmyhLFjx5oCUpHo6Gh8fX0JDg5m7NixnD9//pb15ufnk5GRUWyra/qFeDHy+m236T9GkpVfWOZj155di17R08mzU9UGJDAuUWJpD5cj4OTaqj23mSiKQva+fVx46CHiHnmEnL//RqXV4jJ+HE03b8L37bclIAkhRC1X4b+yF43lURQFg8FQ7uNTUlLQ6/V4eXkV2+/l5UViYmKpxyQmJpbavrCwkJSUlBLtDxw4wPHjx3n88ceL7e/WrRvLly9n06ZNLF68mMTERHr27ElqaupN6507dy5OTk6mLSAgoKxftVZ5497W+DpZcyE1hzm/nSjTMQbFwOozqwEY3Xx01Rdl7wF3PG98/+ccKMyv+j5qUO6xY8Q9+hhxjzxK7sFD18PReJqEb8b7f/+Tp9WEEKKOKFdIys/PZ8WKFfTv358WLVpw7NgxPvvsM+Li4rC3r9gYlX/fplMU5Za37kprX9p+MF5FatOmDV27di22f/DgwYwaNYq2bdvSr18/1q9fD8C33357035nzpxJenq6aYsvmsemjnGy0fLhmA6oVPDjwYv8cTzhtsfsvbyXy9mXcbB0oH9g/+oprPsUsPeCazGw/4vbt6+F8mNiuDh1GrH3P0DOvn3GcPTgg9fD0Wto6/HDAUIIUR+VeeD2lClTWLlyJY0aNeLRRx9l5cqVuLm5Vbhjd3d3NBpNiatGSUlJJa4WFfH29i61vYWFRYlacnJyWLlyJXPmzLltLXZ2drRt25bo6OibtrGyssLKqhxrlNVi3Ru78VSvJnyx4xwvrzlGx0YueDla37T96mjjVaRhjYdhbXHzdpViZQ93vw7rpsCO96H9OLD3rJ6+qpguKYmUzxeS9vPPoNeDSoXTvffi8dyzaP38zF2eEEKICipzSPriiy9o1KgRwcHB7Nixgx07dpTabs2aNWU6n6WlJaGhoYSHhzNy5EjT/vDwcIYPL/3x8h49evDbb78V27d582Y6d+6MVlt8Adcff/yR/Px8JkyYcNta8vPziYqKIiwsrEy11wfT+zdn99lkjl/KYMZPR/j20a6o1SWvxqXkprAtbhtgXMy2WrUfB38vNo5N2vom3Ptp9fZXSfrMTFK/XsLV5ctRcnMBsO/TB49p07Bu0dzM1QkhhKisMt9umzhxIn379sXZ2bnY2Jx/b+Uxffp0vv76a5YuXUpUVBTTpk0jLi6OyZMnA8ZbXBMnTjS1nzx5MhcuXGD69OlERUWxdOlSlixZwowZM0qce8mSJYwYMaLUq10zZsxgx44dxMTEsH//fkaPHk1GRgYPP/xwueqvyywt1CwY0xFrrZpd0Sks/Sum1Hbrzq6jUCmknUc7mrtU8y9+tRoGvWd8f/j/IOFI9fZXQUphIVe//55z/QeQ+uWXKLm52HToQOB3/0fAF4skIAkhRD1R5itJy5Ytq/LOx4wZQ2pqKnPmzCEhIYE2bdqwYcMGAgMDAUhISCAuLs7UPjg4mA0bNjBt2jQ+//xzfH19+eSTT0xzJBU5c+YMu3fvZvPmzaX2e/HiRcaNG0dKSgoeHh50796dffv2mfptKJp62jNrSCteW3eC9/44RddgV9r5O5s+NygG06220c2qYcB2aRp1gzaj4fjPsPFleHSDcXbuWiJ7336uvPMO+WfOAGDZtAme06Zhf9ddsq6aEELUMxVe4Lahq4vzJJVGURSe+r9DbD55hQBXG35/NgwnG+Oty30J+3hi8xPYa+358/4/sdXW0CzQ6Rfh085QmAv3L4PWI297SHXTXbrElXnvk7lpEwAaJyc8pj6P8/33o7Ko8BKIQgghali1zZMk6h+VSsX7o9vj72JD/NVcXl591PTEYNFj/0MbD625gATg5P/PlACb/we63Jrr+18Mubkkf/oZ54YMNQYktdr4OP+mP3AZN04CkhBC1GMSkgROtlo+G98JrUbFxuOJLN97gat5V9kSZ1y2pVrmRrqdO54HRz9Ij4M9NT+AW1EUMjZt5tzQoaR8/jlKfj62XbsS/MsavP/3Ghpn5xqvSQghRM2SkCQA6BDgzMzBxvXc3l4fxdeHV1NoKKS1W2tauras+YIsbaH/9ekbdn0AV0sfWF4ddJcvc/HpKVx6/nkKLydg4euD34IFNPp2GdYtWtRYHUIIIcxLQpIwefSOIAaEeFGgN/DDSeOttpFNzTgeqM0oCO4FhXnG9d2qeficotdz9dtvOXfPMLK2bwetFrenJ9Nk/XocBw2UgdlCCNHASEgSJkXjk3w8UtFrL6FSLBgYOMicBcGQD0CthbPhEPVrtXWVd/IksWPGcmXuuyg5Odh06kTjX9bg+fzzqG1sqq1fIYQQtZeEJFGMk62WOzvGAlCQGcLSXaWvo1djPJrDnVON7ze+DPmZVXp6Q04OV+a9T8z9D5B3/DhqBwe8Z88m8Lv/w6pp0yrtSwghRN0iIUkUo9Pr2J9kHLCtSwvlk61n2XTCzEEp7AVwCYLMy7D93So7bc6hQ5wfMZKrS5eCXo/D4EE0Xv87LmMeQKWW/2sIIURDJ78JRDE7L+3kWv41PGw8mNC+HwAv/HiEs0lZ5itKawND5hvf71sEiccrdTpDfj5X3pvHhQkPoYuLw8LHB/8vFuH/0UdoPevGenFCCCGqn4QkUcy6s+sAuKfJPbw6tA3dgl3Jyi/kyf87SGaeznyFNesPre4FRQ+/TwODoUKnyT12jJj7RnH1m29AUXC67z4a/7oOhz59qrZeIYQQdZ6EJGGSmpvKrou7ABjeZDhajZrPH+yEj5M155Ozmf7jEQwGM07QPuhdsLSHiwcgYnm5DlUKCkj+5BNix46j4Nw5NB7u+C9aiO87b6NxcKimgoUQQtRlEpKEyYaYDRQqhbR1b0sT5yYAuNtb8cWEUCwt1ISfvMIH4afNV6CTH/R9xfh+8/8gI6FMh+WfP0/MmLGkLFwEej2OQ4fS+NdfcejbtxqLFUIIUddJSBImRbfahjcZXmx/+wBn3r2vLQCfbzvHz4cu1nhtJl2fAt9OkJ9uvO12i7mTFEUh7eefiRk1mvyoKDTOzvgt+Ai/D+Zj4eJSg0ULIYSoiyQkCQBOXz3N6Wun0aq1DAouOTfSfZ38+U9f4yPxM9ccZf/51Jou0UhjASMWGudOOrMRjv1cajN9RgaXpk0n4dXXUHJzsevZg+Bf1+E4yIzzPgkhhKhTJCQJANbHrAegt39vnKycSm0zvX9zhrb1QadXeOq7Q8SmZNdkif/wbAW9XzK+3/giZCUV+zjncAQxI0aS+ccfYGGB54szCPj6a3lyTQghRLlISBIYFAMbYzYCMLTx0Ju2U6tVzL+/Pe39nUjL0fHYsr9JzzHTE293TgXvtpB7zbhkCaAYDKQsWsSFhx5Cd/ky2kaNCPrhe9wmTZJ5j4QQQpSb/OYQHL5ymMTsRBy0DoT5h92yrY2lhsUPd8bXyZrzKdlM/u4QBYUVexy/UjRaGP45qDRwci2F+38g/qnJJH/8iXFw9rBhBK9ZjU27djVfmxBCiHpBQpIw3WrrF9gPK43Vbdt7Oliz5JEu2Flq2Hs+lRk/mWlqAJ/2cOc0cq9qiX1mDtm7dqGyssLnnXfwe38eGnv7mq9JCCFEvSEhqYHT6XVsjt0MwJDGQ8p8XCsfRxZNCMVCreLXI5d5a30Uyi2eNKsOiqJwLakxF7Z4oMtSoXW1JmjVSpzvG1mjdQghhKifJCQ1cLsv7SajIAMPGw+6eHUp17G9mnsw//72ACz9K4avdp6vjhJLZcjNJWHmKyTOfgvFAPZ+eQT3icHacKbGahBCCFG/SUhq4DbEbABgUPAgNGpNuY8f0dGPWUNaATB34ynWHK7+OZR0CQlceHAC6WvXglqN54wX8H95IhpLBX57HjLNvCCvEEKIekFCUgOWrctme/x24NZPtd3OE70a80RYMAD//fko208n3eaIiss5HEHM/Q+Qd/IkGhcXGi1ditvjj6PqO+v6025XYd1/bjnJpBBCCFEWEpIasK1xW8nT5xHkGESIa0ilzjVzcCtGdPCl0KAw5fvDRMRdq6Iq/5G25hfiHn4YfUoKVi1aEPzzT9h172b80MIS7lsMGis4Gw5/f13l/QshhGhYJCQ1YEVPtQ1pPASVSlWpc6nVKuaNbk9YM3dyCvQ8vPQAJy9nVEWZKIWFXJn7LgmvvIKi0+HQvx9BP3yP1s+veEPPVtB/tvH95tcgJbpK+hdCCNEwSUhqoFJzU9l3eR8AQ4LL/lTbrVhaqPliQiihgS5k5BXy0JL9nE3KrNQ59VnZxE+ZwtVvvwXAfcoU/D7+GLWdXekHdH0KgntDYS6sfhwKCyrVvxBCiIZLQlIDteXCFvSKntZurQl0DKyy89pZWbD0kS608XMkNbuAB7/eT1xqToXOpbtyhQsTJpC9cxcqa2v8FnyEx3PP3nr2bLUaRiwCa2dIiIQ/Z1eobyGEEEJCUgO1+YJxbqRBQVW/4KuTjZblj3WjuZc9VzLyGf/1Pi6n5ZbrHHmnTxM7Ziz5p06hcXMjcPm3ZV+c1snPOBs3wN7PIDq8nN9ACCGEkJDUIKXkpnDwykEA+gf1r5Y+XO0s+W5SN4LcbLl4LZcJX+8nKSOvTMdm7f6LC+MfpDAxEcvGjQlatbL8y4u0uge6Pml8/8tTkJFQzm8ghBCioZOQ1AD9eeFPDIqBNm5t8LP3u/0BFeTpaM33T3THz9mG8ynZjP1qH1duE5TSfllL/FNPYcjOxrZLF4JW/IClv3/FCuj/Jni1hZxU+OVJMOgrdh4hhBANkoSkBqjoVtuAoAHV3pefsw0r/hWUEtJLv/WW+s0yEmbONC1QG7DkazROThXvXGsN938DWjuI2Qm7Pqz4uYQQQjQ4EpIamGK32gKr51bbvzVys2Xlk93xd7Eh5npQunGMkqIoJH34EUnvvQeA66OP4jvvPdSWlpXv3L0ZDJ1vfL/9HTi/o/LnFEII0SBISGpgim61tXZrjb9DBW9jVUCAqy2rnupBI1dbLqTmMOarvVy8loOi15P4+hukfvUVAB7Tp+P53xcrPW9TMe3HQYcHQTHAz49BxuWqO7cQQoh6y+whaeHChQQHB2NtbU1oaCi7du26ZfsdO3YQGhqKtbU1jRs35osvvij2+bJly1CpVCW2vLziY2HK2299UXSrbWDQwBrv28/ZhpVPdifIzZb4q7k8uHAXZ5+dStqPP4Jajfec2bg/+UTVBiQAlQqGzL8+PikFfnxY5k8SQghxW2YNSatWrWLq1KnMmjWLiIgIwsLCGDx4MHFxcaW2j4mJYciQIYSFhREREcErr7zCc889x+rVq4u1c3R0JCEhodhmbW1d4X7ri9Tc1Bq/1fZvvs42rHyyBy2dLHjyj4UUbt0CWi1+H36IywMPVF/HlrYwZjlYOcHFAxD+v+rrSwghRL1g1pD04YcfMmnSJB5//HFatWrFggULCAgIYNGiRaW2/+KLL2jUqBELFiygVatWPP744zz22GPMnz+/WDuVSoW3t3exrTL91hd/xpnnVtu/eWj0fHrkWzolnyFXY8nbYU9wLqRr9Xfs2hhGXr/yuH8RHPu5+vsUQghRZ5ktJBUUFHDo0CEGDCj+hNWAAQPYs2dPqcfs3bu3RPuBAwdy8OBBdDqdaV9WVhaBgYH4+/tzzz33EBERUal+AfLz88nIyCi21TWbY2vuqbab0WdlEf/EExRGRqCyd+CbUTPY7diYB7/ez+7olOovoOUQuHO68f2vz8GVE9XfpxBCiDrJbCEpJSUFvV6Pl5dXsf1eXl4kJiaWekxiYmKp7QsLC0lJMf6CbdmyJcuWLePXX39lxYoVWFtbc8cddxAdHV3hfgHmzp2Lk5OTaQsICCj3dzan9Pz0f261NTLPrTZ9ZiZxkyaRGxGB2smJwGXf8O6scaZFcR9b9jcbj9XApI93vQqN+4AuG1aMg+zU6u9TCCFEnWP2gdv/HqSrKMotB+6W1v7G/d27d2fChAm0b9+esLAwfvzxR5o3b86nn35aqX5nzpxJenq6aYuPj7/9l6tFdlzcgV7R08ylGQGONR/w9BkZxD02ibwjR9E4ORH4zVJs2rTGzsqCrx/uzNC2PhToDTzzw2FWHqjmsWFqDYz+BlyCIe0C/PQw6HW3P04IIUSDYraQ5O7ujkajKXH1JikpqcRVniLe3t6ltrewsMDNza3UY9RqNV26dDFdSapIvwBWVlY4OjoW2+qSrXFbAbgr4K4a71uflkbco4+Rd+wYGmdnGn27DOuQENPnVhYaPhnXkXFdAzAo8PKaY3y2NdoUgKuFrSuMWwGW9hC7C/6YWX19CSGEqJPMFpIsLS0JDQ0lPLz44qPh4eH07Nmz1GN69OhRov3mzZvp3LkzWq221GMURSEyMhIfH58K91vX5Rbm8telvwC4u9HdNdq38Rbb4+SdOIHG1ZVG336LdcuWJdpp1CreGdmWp/s0AWD+5jPMXHMMnd5QfcV5toJRXwMq+HsxHPym+voSQghR55j1dtv06dP5+uuvWbp0KVFRUUybNo24uDgmT54MGG9xTZw40dR+8uTJXLhwgenTpxMVFcXSpUtZsmQJM2bMMLWZPXs2mzZt4vz580RGRjJp0iQiIyNN5yxLv/XNvsv7yNPn4WPnQ0vXkgGluhiys4l/8ilTQAr8dhnWLZrftL1KpeKlQS2ZM7w1ahWs/DueSd8eJCu/sPqKbDHYOEYJYMMMiN1dfX0JIYSoUyzM2fmYMWNITU1lzpw5JCQk0KZNGzZs2EBgYCAACQkJxeYuCg4OZsOGDUybNo3PP/8cX19fPvnkE0aNGmVqk5aWxpNPPkliYiJOTk507NiRnTt30rVr1zL3W9/8GfcnAHc1uqvqJ2q8CUN+PvHP/Mc4SNvRkUZLl2DVrFmZjp3YIwgfJxueXXGYnWeSeeCLvXzzaBe8HK1vf3BFhL0ASSfh+GpY+SA8vsW4nIkQQogGTaVU68CP+isjIwMnJyfS09Nr9fikQkMhfX/sS1p+GksHLqWLd5dq71MpKODis8+RtWMHaltbGn2zFJv27ct9niPxaUz69m9SsgrwcbLm64c709q3Egve3oouF74dBhf/BpcgmLQF7D2qpy8hhBBmU57f32Z/uk1Ur4ikCNLy03CycqKjZ8dq708pLOTSf18ia8cOVFZW+H+xqEIBCaB9gDO/TLmDxh52JKTnMXrRXv44fvNpGipFawNjVxgD0rVYWDEWCnKqpy8hhBB1goSkeq7oqbbe/r2xUFfv3VVFUUh44w0y//gDtFr8P/sUu66Vm0k7wNWWX56+g7Bm7uTq9Ez+7lD1Pflm7wEP/gzWznDpIKx5Agz6qu9HCCFEnSAhqR5TFMUUkmriqbaUTz8l/efVoFbj9+EH2IeFVcl5nWy1fPNIFx7pGQQYn3x7bmUkebpqCDDuzYxTA2gs4dTvsPm1qu9DCCFEnSAhqR47fe00l7MvY62xpodvj2rt69rKlaQsNK595/366zj2r9pZvS00at64tzXvjGyLhVrFb0cu88CXe0lIz63SfgAI7Akjrq/jt+9z+OuTqu9DCCFErSchqR7bEb8DgO6+3bGxsKm2fjLCw0mc8yYA7s88g8uYB6qtr/HdGvHd491wsdVy9GI693yymz3nqmHNt7ajod8bxvfhr0HEd1XfhxBCiFpNQlI9tvPiTsA4Hqm65Bw6xOUXZoDBgPP99+P+n2eqra8i3Ru78et/7iTEx5HU7AImfL2fL3acq/pxSndMhZ7PGt//+ixE/V615xdCCFGrSUiqp67mXeVYyjEAwvyqZmzQv+VHRxP/9BSUggLs77oL79f/V2PzMAW42rJmSk9GdfLHoMC7G0/x9HeHycyrwjXYVCro/yZ0mACKAX5+DGJ2Vd35hRBC1GoSkuqp3Zd2o6DQyrUVXnY3X5OuonRJScQ9+RSGjAxsOnTA74P5qCxqdm5Sa62G+fe34+2RbdBqVPxxIpHhn/3FmSuZVdeJSgXDPoaW94A+H1aMg8sRVXd+IYQQtZaEpHqqaDxSmH/VX0Uy5OVx8T/PUpiQgGVQEP6LFqK2qb4xT7eiUql4sFsgPz7VAx8na86nZDP8s7/48WB81d1+01jAqCUQFAYFmfDdKLhysmrOLYQQotaSkFQP6Qw69lzeA0Av/15Vem5FUUh45RXyjh5F4+REwJdfYOHiUqV9VETHRi78/uyd3NnUOJ/Sf38+ytRVkVV3+01rDWN/AN+OkJMKy++F5NNVc24hhBC1koSkeigyKZIsXRau1q60cWtTpedO+exzMjZsBAsL/D75BMtatN6dm70Vyx/ryosDW6BRq1gXeZl7Pt3N0YtpVdOBtSNMWAPebSE72biMSUp01ZxbCCFErSMhqR4qeqrtTr870ag1VXbe9PXrSfn8cwB83ngdu26Vm027OqjVKp7p25Qfn+qOn7MNF1JzGLVoD1/vOl81t99sXWHir+DVBrKuwLJ7IPVc5c8rhBCi1pGQVA/tuFj145FyjxwhYeYrALg++ijOo0dX2bmrQ2igKxueC2Ngay90eoW31kfx6LK/ScrIq/zJbV1h4jrwDIGsRGNQunq+8ucVQghRq0hIqmfiM+OJSY9Bo9LQ07dnlZxTl5RE/H/+Y3zUv08fPGe8UCXnrW5Otlq+mBDKmyPaYGmhZvvpZAYs2Mn6owmVP7mdu/GKkkdLyLwMy4bJFSUhhKhnJCTVM0W32jp5dcLR0rHS51MKCrg0dRr65BSsmjXFd/58VJqqu4VX3VQqFQ91D+S3/9xJa19H0nJ0PPPDYaaujCA9p5KDuu094OHfwL05ZFyEbwbLU29CCFGPSEiqZ4pCUi+/qnmq7cp788g9fBi1vT3+n36Kxt6uSs5b01p4O/DLlDt49q6maNQq1kZeZuCCnew8k1y5E9t7wiPrwavt9TFKQ+DSoaopWgghhFlJSKpHcnQ5/J34N1A1j/6nrV3Lte+/B8D3/XlYBgVV+pzmZGmh5oUBLfh5cg+C3e1IzMhj4tIDvLb2ONn5hRU/sb0nPPIb+HWG3Gvw7XCI/avqChdCCGEWEpLqkUNXDqEz6PC18yXYKbhS58o9cYLE198AjIvWOvTtWwUV1g4dG7mw4bkwHu5hnL7g//ZdYMBHO9l+OqniJ7VxgYlrb5hw8j6I3lI1BQshhDALCUn1SNEEkj18e1RqDTV9WhqXnn0OJT8f+969cX9mSlWVWGvYWGqYPbwN303qhr+LDZfScnnkm7+ZujKCq9kFFTuplQM8+BM0GwiFebBiLBxfXbWFCyGEqDESkuqRopBUmafaFEXh8qxX0V2+jLZRI3zfn4dKXX//NbmzmTubp/Xi8TuDUatgbeRl+n24g7URlyo2r5LWBsZ8B61HgkFnXBR3z2dQVUukCCGEqDH197dfA5OYncj59POoVWq6+XSr8Hmu/d//kfXnn6i0Wvw++hCNY+WfkKvtbC0tePWeEH6ZcgctvR24ml3A1FWRPPLN31y8llP+E1pYGtd66/qU8efNs+CPl8Ggr9rChRBCVCsJSfXE3st7AWjj3gYnK6cKnSP32HGuvD8fAM+XXsKmdesqq68uaB/gzG/P3smLA1tgaaFmx5lk+n+4k4Xbz5JfWM6Ao9bA4PdgwFvGn/d/AT9OBF1u1RcuhBCiWkhIqicqe6tNn5nJpenTQafDoX9/XB4cX5Xl1RlajZpn+jblj+fD6BbsSq5Oz7w/TjNowa7yD+xWqaDnszB6KWgs4dTv8O29kJ1aPcULIYSoUhKS6gG9Qc/eBOOVpDt87yj38YqikPDqa+ji49H6+eHz9luVGvhdHzT2sGflk91ZMKYDHg5WxKRk88g3f/PE8oPEXy3nLbg2o+ChtWDtBBcPwJL+sjCuEELUARKS6oGoq1Gk56djr7WnjXubch+ftupHMjdtAgsL/D78oEGMQyoLlUrFiI5+bH2hN0+EBWOhVhF+8gr9PtzBR+FnyNOV4xZc0B3w2GZwCoCr52Dx3RAdXn3FCyGEqDQJSfVA0a22bj7dsFBblOvY/PMxXHn3XQA8p0/Hpn37Kq+vrnOw1jJraAgbnw+jZxM38gsNfPxnNP0+3MGGYwllfwrOsyU8sRUCukN+Onx/P+xeIE++CSFELSUhqR6o6HgkRafj8n//i5KXh22P7rg+8nB1lFdvNPNy4PvHu7HwwU74Ollz8VouU74/zH2L9vB37NWyncTe07jeW6eHAQW2vA5rnpAB3UIIUQtJSKrjsgqyOJJ0BCh/SEpeuJC848dROzriO3duvZ4PqaqoVCqGtPVhywu9ef7uZthoNUTEpXH/F3t5cvlBziZl3f4kFpYw7GMYMh9UGjj2EywdBOkXq/8LCCGEKDP5rVjHHbxykEKlkACHAPwd/Mt8XM7hCFK//AoAn9lvoPX2rq4S6yVbSwum9W/Ojhf7MK5rI9Qq2HzyCgMX7GTWL8dIysy79QlUKuj6BExcBzaukBAJX/WB89troHohhBBlISGpjtufsB+A7j7dy3yMPiubyy+9BAYDjvcOw3Hw4Ooqr97zdLRm7n1t2TytF/1aeaE3KHy/P44+72/n4y3Rt184NzgMntwGXm0gOxmWj4Btc2XiSSGEqAUkJNVxBxIPANDVp2uZj0l6/3108fFY+Prg/dpr1VVag9LU04GvH+7Myie7097fiZwCPR9tOUPYvG18tfMcuQW3CD0uQTApHDpNBBTY8S4sHw6ZV2qqfCGEEKUwe0hauHAhwcHBWFtbExoayq5du27ZfseOHYSGhmJtbU3jxo354osvin2+ePFiwsLCcHFxwcXFhX79+nHgwIFibd544w1UKlWxzbsO3m66mneVM9fOANDFq0uZjsnet4+0VasA8H1nLhoHh2qrryHq3tiNtc/cwWfjOxLkZsvV7ALe2XCKXu9v45u/Ym4+bYClLdz7KYz8CrR2ELsLvrhTbr8JIYQZmTUkrVq1iqlTpzJr1iwiIiIICwtj8ODBxMXFldo+JiaGIUOGEBYWRkREBK+88grPPfccq1f/s9L69u3bGTduHNu2bWPv3r00atSIAQMGcOnSpWLnat26NQkJCabt2LFj1fpdq8PBxIMANHNphpuN223bG7KzSXjVeOXIeewY7LpXfI03cXMqlYp72vmyZXpv5o1uh7+LDcmZ+cz+7SR93t/O/+27cPOw1H4MPLkdPEMgO8l4+237u6C/zW07IYQQVU6lVGip86rRrVs3OnXqxKJFi0z7WrVqxYgRI5g7d26J9i+99BK//vorUVFRpn2TJ0/myJEj7N27t9Q+9Ho9Li4ufPbZZ0ycOBEwXklau3YtkZGRFa49IyMDJycn0tPTcTTT5Itv7XuLVadXMaHVBF7q+tJt2ye+9TbXvvsOC18fGv/6Gxp7uxqoUhQUGvj50EU+2xrN5XTjgG5PByue7NWY8d0aYWtZytxWBTnwx0tweLnxZ/+uMPILcGtSg5ULIUT9U57f32a7klRQUMChQ4cYMGBAsf0DBgxgz549pR6zd+/eEu0HDhzIwYMH0el0pR6Tk5ODTqfD1dW12P7o6Gh8fX0JDg5m7NixnD9//pb15ufnk5GRUWwzt6JB2128b3+rLefgQa599x0APnPelIBUgywt1Izv1ohtL/ZhzvDW+DhZk5SZz1vro7jj3a18+mc06bn/+ve36PbbfYvBytG4nMkXd8KBxTL5pBBC1BCzhaSUlBT0ej1eXl7F9nt5eZGYmFjqMYmJiaW2LywsJCUlpdRjXn75Zfz8/OjXr59pX7du3Vi+fDmbNm1i8eLFJCYm0rNnT1JTb77w6Ny5c3FycjJtAQEBZf2q1eJK9hViM2JRq9R09u58y7aGvDwuz5oFgNPoUdjfWf713UTlWVlomNgjiB0v9uW9UW0JcrPlWo6OD8LPcMe7W3l34ymuZPxr6oB2D8DTeyC4F+hyYMMM+O4+SL9UeidCCCGqjNkHbv97IVVFUW65uGpp7UvbDzBv3jxWrFjBmjVrsLa2Nu0fPHgwo0aNom3btvTr14/169cD8O23396035kzZ5Kenm7a4uPjb//lqlHRU22tXFvhaHnry4UpCxehuxCHhacnXv/9b02UJ27B0kLNmC6N2DK9Nx+P7UALLwey8gv5Ysc57nxvKy/8eIRTiTdcqXQOgIfWwaD3wMIazm2FRT3g6I9yVUkIIaqR2UKSu7s7Go2mxFWjpKSkEleLinh7e5fa3sLCAje34gOX58+fzzvvvMPmzZtp167dLWuxs7Ojbdu2REfffGV2KysrHB0di23m9Hfi38DtH/3PP3uW1KVLAfD+32uyeG0tYqFRM7yDHxufD2PxxM50CXJBp1dYffgigxbs4qEl+9l5Jtn4FwG1GrpPhqd2gW9HyEs3LmeyagJkXDb3VxFCiHrJbCHJ0tKS0NBQwsOLr4QeHh5Oz56lL6/Ro0ePEu03b95M586d0Wq1pn3vv/8+b775Jn/88QedO9/6VhQYxxtFRUXh4+NTgW9iHqb5kbxvHpIURSHxjdlQWIj9XXfhcMMtR1F7qNUq+od48dPknqx95g6GtvNBrYJd0SlMXHqAQQt28cP+OHIKCsGjuXFOpT6vGJc0OfU7fNYV9n8lE1AKIUQVM+vttunTp/P111+zdOlSoqKimDZtGnFxcUyePBkw3uIqeiINjE+yXbhwgenTpxMVFcXSpUtZsmQJM2bMMLWZN28er776KkuXLiUoKIjExEQSExPJyvpnTa0ZM2awY8cOYmJi2L9/P6NHjyYjI4OHH64bC7xezLzIpaxLWKgs6OTZ6abt0teuI+fgQVQ2NnjPeqUGKxQV1SHAmc/Hd2LHi3159I4gbC01nL6SySu/HKPbO3/y5u8nib1WAH1egqd2gF9nKMiEjS/C1/0g4ai5v4IQQtQbZg1JY8aMYcGCBcyZM4cOHTqwc+dONmzYQGBgIAAJCQnF5kwKDg5mw4YNbN++nQ4dOvDmm2/yySefMGrUKFObhQsXUlBQwOjRo/Hx8TFt8+fPN7W5ePEi48aNo0WLFtx3331YWlqyb98+U7+1XdFVpLYebbHV2pbapvDaNZLmzQPA45kpaP38aqw+UXkBrra8Pqw1e1++m1eHtiLQzZbMvEKW7I6hz/ztPLz0AFvTPNE/usm4UK6VI1w+bFz/bdMsyC/DQrtCCCFuyazzJNVl5pwn6ZVdr/Db+d94ou0TPNfpuVLbJLz2Gmk//YxVs6YEr1mD6obbkaLuMRgUdkQns3xPLNvPJJvGa/s52zCmSwBjWlrgtWc2nPjF+IFTAAyaCy3vMS6mK4QQAijf728JSRVkzpA0aPUgLmVd4st+X9LTr+T4rZzDEVwYPx6AwO+/wzY0tEbrE9XrQmo23+27wKq/48nIM87ErVZB7+Ye/Ccghk7H3kSVfv3py8A7YeDb4NvBfAULIUQtIiGpBpgrJF3JvkK/n/uhVqn5a+xf2FvaF/tcMRiIvf8B8k6cwGnUffi+/XaN1SZqVp5Oz8bjCaw8EM/+mKum/f52Cu95baHHlRWo9XmACjqMh7teA8e683CCEEJUhzox47aomIikCABauLQoEZAA0n9ZS96JE6jt7fGcPr2myxM1yFqrYWRHf1Y91YOtL/Tmqd6Ncbe35GK2igfP9+fO7HnssOoDKBD5PXzaCba/Z1zyRAghxG1JSKpjDicdBqCjZ8cSn+mzskj66CMA3J9+Ggu32y96K+qHxh72zBzcir0z7+aLCaHc1dKTK2oPHk5/kpH5szlsaGacsXv7OyifhkLE97JorhBC3EYpK2uK2qzoSlInr5KP/qd++SX6lBQsAwNxfWhCTZcmagGtRs2gNt4MauNNSlY+vx25zC8RTtx3sSnD1Ht5SbsS/8zLsG4KOVvnYXn3TCza3Q9qjblLF0KIWkfGJFWQOcYkZRZkcufKOzEoBv68/088bT1NnxXExXF+6D0oOh3+CxficFffGqlJ1A1nkzL5JeISGw7HMCBrHU9Z/IaryjhNQJJVIKmdp9O07wS0FvL3JiFE/Vae39/yX8Q65GjyUQyKAX97/2IBCSDp/fdRdDrsevbEvm8fs9Qnaq+mng68OLAlL/RvwYHYrnwe8SiuJ77hQf2veOZfwPOv5zn713z2NXqCwDvH0r2JB1qN3I0XQjRsEpLqkENXDgElb7XlHDxIZvgW0GjwmvnyLRcIFg2bWq2ie2M3ujd2Qz+yKwdPv0Tmjs/olvgDTYmnadz/iPrua15TDye/xXDubu1H7+YeOFjLPFtCiIZHQlIdUjQe6cZB24qikDT/AwCcR4/Gqlkzs9Qm6h6NWkW3VsHQ6gMKs18l7o8P8DyxhFbE8S6fcvnU9yw9PpjXuIu2TRrRP8SL/q288HayNnfpQghRI2RMUgXV9JgknV5HjxU9yNfns27EOho7NQYg888/ufjMf1DZ2NBk0x9oPT1vcyYhbiHnKoa/l6Df+wXavBQAMhUbVujv4pvCQSTgRjt/J/o096B3Cw/a+ztjIbflhBB1iEwmWQNqOiQdST7ChA0TcLZyZueYnahUKpTCQs4PH0HBuXO4PfUUntOmVnsdooHQ5cGxH2HPZ5ByGgA9an7Td2dx4VBOKMEAONloubOZO72be9C7uQdejnKVSQhRu8nA7Xoo4so/t9qKxhylr1tHwblzaJyccHt8kjnLE/WN1ho6TYQOE+DsFtj7KZqYnYzQ7GGEZg+x1i1ZlteHH3O7sv6ojvVHEwBo6e1A7xYe3NnUnc6BrthYytQCQoi6S0JSHVE0iWQnT+OgbUNeHsmffAqA2+TJaBwczFabqMfUamg+wLhdjoS9n8GJtQTlneINTvGaw3ccdxvIsrzerL3izqnETE4lZvLljvNoNSo6NnKhR2M3ejZxo0MjZ6wsJDQJIeoOud1WQTV5u82gGOi9qjdp+Wl8N+Q72nu0J/WbZSS99x4Wvj402bgRtZVVtdYghElWMhz5AQ4tg6vnTbsLvdpz3Oc+fsztxrbYHBLS84odZq1V0yXIlR5NjE/XtfF1wtJCxjMJIWqW3G6rZ2LTY0nLT8NaY02IawiG3FxSv/4aAI8pUyQgiZpl7wF3PA89n4PYXcawFPUbFleO0OHKETpY2qO0HEpS4DC2FoSwJzaDvedSSMkqYFd0CruijQPCrbVqOgQ40znQlc5BLnQKdMFRphoQQtQiEpLqgKJbbW092qLVaEld+T361FS0/v44DR9u5upEg6VSQXAv45adAkdWGANT6llUR1fhdXQV42zdGBcyHGXCKKKtu7Ln3FX2nEvlQOxV0nJ07Dt/lX3nr5pO18LLgS5BxtAUGuiCn7ONzPslhDAbCUl1wI3zI914Fcn96cmotPI3b1EL2LlDz2ehx38gfj8c+xlOroXsZDi4FNXBpTR39KN565E80m80Bq9+nE/N5u/YaxyMvcbBC1e5kJpjGtP0f/suAOBub0V7fyfaBzjTPsCZdn5OuNhZmve7CiEaDBmTVEE1OSZp8OrBXMy6yBf9vqDl5miS3nsPrb8/TTZukJAkai99IcTuhGOrIeo3yE//5zPXxtBiCDQfBI26g0ZLUmYeh2Kv8XfsNQ5duMrxyxnoDSX/8xToZks7f2dTeGrt64itpfx9TwhRNjJPUg2oqZCUlJPE3T/djVqlZtfwP0kcMgJ9aio+b7+F86hR1davEFWqMB+iw+H4z3D6DyjM/eczaydo2g+aD4amd4OtKwB5Oj0nLmdwJD6NoxfTOHIxnZiU7BKnVqkg2N2OEB9HWvk4EuLrSGsfRzwcrORWnRCiBBm4XY8UjUdq4dIC3Zrf/xmLdO+9Zq5MiHKwsIJW9xi3/Cw496cxLEVvgpxUOL7auKk0xitLzQdh3XwQoY2aERroYjpNeo6Oo5fSOHoxncj4NI7Ep5GUmc/55GzOJ2fz+/X5mgDc7S2Noel6cGrp7Uiwu508USeEKDO5klRBNXUlae7+ufxw6gcmNBnDyJmb0Cen4PPWmziPHl1tfQpRYwx6uHQITm+EM39A0sninzv4GAeGB4UZX10CS5wiOTOfqIQMTiZkcPKy8fV8chal3KlDo1YR5GZLcy8Hmnna08zLgWZe9gS728kcTkI0EHK7rQbUVEh64LcHiLoaxaKcUbh9vAoLb2+abt6EylIGr4p66NoFOLMJzmyE2N2gLyj+uXOj66GpFwSHgaNvqafJLdBz5kpmseB0JjGTzPzCUttr1CoC3Wxp5mlPcy8Hgt3tCHK3I9jNTgaKC1HPSEiqATURkrIKsrhj5R0oej0/rfTFcCEez5dewu3RR6qlPyFqFV2u8Um5mF3G+ZguHQLDv0KOW1MI7Al+ncG/M3i0BHXpV4QURSExI4/oK1mcuZLJ2STja3RSFpl5pYcnAGdbLUFudsbg5GZHsIcxPAW52+Ig8zoJUedISKoBNRGS/rr0F5O3TGbQBRce+yEZtaMjTbduRWNvVy39CVGr5WdB3D6I2WEMTQlHQDEUb2NpD74dwS/UGJr8OoOjzy1PqygKSZn5xsB0JYvopCxiUrKITckhMSPvlse621sS4GpLgIstAa42+Lv8897HyUbGPwlRC8nA7XricNJhUBTu3Wv8W67L+HESkETDZWUPzfoZN4DcNLiwBy4egIsH4XIEFGQZA1Tsrn+Oc/QzhibfjuDVBrxaG2/TXX/yTaVS4eVojZejNWHNPIp1mVNQyIXUHGJSsolJySa26DU1m5SsAtMWEZdWoly1CrwdrfF3tcXfxYYAF+Orj5MNPs7W+DhZy9QFQtRyciWpgmriStJjmx4j68ABZn+vR2VpSdOtf2Lh7l4tfQlR5xn0kHwaLh00hqZLh4wDwf99tQmM0w54tQHPEGNo8moNnq3AquwLRWfk6biQkkP8tRzir+Zw8Vou8deMrxev5ZCnK6Xff3G0tigWmrwdbYyvTtb4OhuDm72VhUxlIEQVkitJ9YBOr+NY8jGm7jX+h9bpvpESkIS4FbUGvEKMW6eJxn35WZAQaQxNicfgyglIjYa8dLjwl3G7kXOgMTC5Nb2+NQHXJuDgbbryVMTRWktbfyfa+juVKEVRFFKy/r+9uw+K6rr/B/6+u3t3eVjkSUQQH4lBi8YqpgqRNJZ+ifiL0cSZ2o6TYDLTllTTqlWrtqZqbbSNSW0m0bSNMX36BadRM06MozYKVKOZr4Y0RqhRI2IUQjHC8riP5/vH3V124QK7K+yC+37NnLn3nvu595w9c5QP917uWtxJk5JEKeu1je2obWxHk9kGU7sNpvYmXPyyqduPFSlrMWyIAUlGA5JinMW5rtRHICnGgESjHrKWt/eI+hKTpAHqwq0LSKhrw7TPBSBJSHzqqVB3iWjwMRiBMbOU4mIzA/WfKQmTZ2muBRquKaUzOVp5S3jiOCVpSkxXkqiEdOUrWTolUJIkuROaaaPiu54PQFO7FV+a2nGzQUmaahrbUWtqQ01jO2oa2lHT2AZTuw1tVjuu3WrFtVutvX7chGg9hhr1SIjWIzHagPhoGQnRBiREyUgwGpAQ5dxn1CM+Ss9npoh6wSRpgDr35TkUnFWuIhlnz4Z+dNf3wxBRAHQGYPhkpXhquQXUXQDqKoFbl4FbV4CvrgAN1YC1BfjyvFK6nC8SiB0BxKYBQ9KUZWyas26k8kyUPqrLYTERMmIiZNwzrPtbfK0WG/7bZO4ozcqyztSx/t8mM+qbzbA5BL5qseCrFku35+vSB4MO8dFK4hQXJSM2UilxkTKGRHpsR+nd67GRMiJkDW8BUlhgkjRAfVr1IZ48rzwulvDkEyHuDVEYiE5U3sE09kHveptFubrkSpo8l41fKF+xcuuyUroTmeBMokYAxmHOkgxEJ3mvG2K8rkpF6XUYnajD6MSe/2DD4RC43WrBf5vNqG+y4KtWC75qNitJU6vFnTy5yu1WK+wOgSazDU1mG6q/6v0qlSe9TuNOmIZE6GCMkBFj0CEmQgejQYeYCBnGCF1HXYSzzqBzxusQKWuZaNGAxyRpALI77Ig9ehYRVkCMG4WoGTNC3SWi8KXTA0PHK6Uzmxkw3VCSpUbX8rpH3RfKX9y1faWU2k96aStCSZqinYlUdJLyXXaR8d4lIq5jXY6ERiMh0WhAotEADO/9IzkcAqZ2qztputViQWObFY2tVmXpLA3OpanNioZWC0ztNtgdAhabw30VK1BajYQoWYtIvRZRei2i9DpE6Tu2o/U693qkc1+0x3qkM8bzGNc5+GwW9ZWQJ0k7d+7ECy+8gJqaGmRmZmLHjh3Izc3tNr60tBQrV67EhQsXkJqaijVr1qCoqMgrZt++fdiwYQOuXLmC9PR0/PrXv8Zjjz12R+0G06VbF/HQ/ypfAJpc+BR/2yIaqHQG5VmlhHHq+4VQHhJ3JUymG0DLf4HmOqClTlk21yl1lmbA1q7c3muo9r0PWkOnJCpOeV+UIUZ5Jksf07FuiAH0RmgMMYgzxCBOb8S45BjAkNTtSzi9P45As9mmJFCtSvJkareh2WxDc7sVTc71JrNNWW+3Ktvtto597VY4BLyuZPU1WSshUtbCIGth0GmcRYsIWVka5I46g06DCFec3FHnrveqU7YjPM4ha11F8lrn/9t3h5AmSXv37sXy5cuxc+dOPPDAA/jDH/6AgoICVFRUYNSoUV3ir169irlz5+L73/8+/va3v+HUqVP40Y9+hKSkJCxcuBAAcPr0aSxatAi/+tWv8Nhjj+HAgQP4zne+g5MnT2KG84qMv+0G22fv/n+MbwDaonSIf3R+qLtDRIGSJCVpiYwDhk/qOdbS0pEwNX/pXK8H2m57l/aGjnWHDbCblYfOm2vvrK9aAyBHAnKUc+lZlDpJjkKMHIkYORJpOuc+XQSglYFIA2DUA1pn0RmUeq0B0EYrV+S0egitHu0ODZpsWrTatWi1a9Bq16LFKtBmsaHVYncWZb3Nud1isbnXu9tnc35hn9UuYLXbgB7epN7fdBrJnTDpdRroNBrIOqVOr9VA55FU6Z1xOo91Watxbnesy1oJWo0EnUaCVqNxLiXouqv32q9Sr9GoHO9Rr5GgcdZpJEAjudaV7XBIBEP6nqQZM2Zg2rRp2LVrl7tu4sSJWLBgAbZu3dol/mc/+xkOHjyIyspKd11RURH+/e9/4/Tp0wCARYsWwWQy4fDhw+6YOXPmID4+Hm+99VZA7arpz/ckHXl0JkZ91oibC2Yib9uePj03Ed0lhHDeyvNMohqUJMrcDJiblP1mU6ftpo5iae76/XihotF1JFiuotEq9Z2XkmtbB2g07nWHpIVNaGCHBjZoYYcWdkiwCWXdJiRYoYFNuIoEmwOwOqDsc6Bj2wFYHRKsDgGrA7DalXqrQ4LVLmBxABa7gNV5nIAEByRlKTQd6+5lR52r3uGsV34IKwmHsh/ude9l1zp4xArREefXcejuuK59gWespCRMkudSoywlSeNOpDr2ARpJA0kjQYIErSRBciZgWsl1nHIr1nXc5LEj8HRBtn9zqReD4j1JFosF586dw9q1a73q8/Pz8cEHH6gec/r0aeTn53vVPfzww9i9ezesVitkWcbp06exYsWKLjE7duwIuF0AMJvNMJs77r+bTKZeP2Mgjry4HKM+a4RDAsY+VdT7AUQUniTJeRstRvni30DZzEoSZW1Vvi/PtbS1Obfbuu7zrLeZlUTLVWyudTNgtzr3W53bHvsdVu9+OGxKsfr3ELknDYCgfh2x69Gn3u9UhheBjozrDp1rzwMK9vfNyQIQsiSpvr4edrsdycnJXvXJycmorVW/bFxbW6sab7PZUF9fj5SUlG5jXOcMpF0A2Lp1KzZt2uTz5wvU6Jn/A8sbR1D1cCYezeAD20TUz3QGpSAxuO06HEqi1G1iZVHelu5Knhw25a3qDruyLuwedZ5LW8/HuY+1K3FCOJceBZ51woc4f2K6i4MztuPajedCfZ/oh30d7Sk3mpQY4Y733Icux3cc01t7nfIolZtaAsDo5CDPy05C/uB253uaQoge73OqxXeu9+Wc/ra7bt06rFy50r1tMpkwcuTIbuMDNeGB/4drxXF4dPIDfX5uIqIBQ6MBNM4EzRDqzpAaqZv1YAr190yELEkaOnQotFptl6s3dXV1Xa7yuAwfPlw1XqfTITExsccY1zkDaRcADAYDDIbg/EsezQSJiIgo5EL2Mgm9Xo+srCwcO3bMq/7YsWPIyclRPSY7O7tL/NGjRzF9+nTIstxjjOucgbRLREREYUiEUHFxsZBlWezevVtUVFSI5cuXi+joaFFVVSWEEGLt2rXiiSeecMd//vnnIioqSqxYsUJUVFSI3bt3C1mWxdtvv+2OOXXqlNBqtWLbtm2isrJSbNu2Teh0OnHmzBmf2/VFY2OjACAaGxv7YCSIiIgoGPz5+R3SZ5IWLVqEW7duYfPmzaipqcGkSZPw3nvvYbTze8pqampQXd3xUrWxY8fivffew4oVK/Dqq68iNTUVL7/8svsdSQCQk5OD4uJi/OIXv8CGDRuQnp6OvXv3ut+R5Eu7RERERCF9T9Jg1p/vSSIiIqL+4c/Pb37BDREREZEKJklEREREKpgkEREREalgkkRERESkgkkSERERkQomSUREREQqmCQRERERqWCSRERERKSCSRIRERGRipB+Lclg5npRuclkCnFPiIiIyFeun9u+fOEIk6QANTU1AQBGjhwZ4p4QERGRv5qamhAbG9tjDL+7LUAOhwM3b95ETEwMJEnq03ObTCaMHDkS169f5/fC9YJj5TuOle84Vr7jWPmOY+Wf/hovIQSampqQmpoKjabnp454JSlAGo0GaWlp/drGkCFD+A/JRxwr33GsfMex8h3HynccK//0x3j1dgXJhQ9uExEREalgkkRERESkgknSAGQwGPDLX/4SBoMh1F0Z8DhWvuNY+Y5j5TuOle84Vv4ZCOPFB7eJiIiIVPBKEhEREZEKJklEREREKpgkEREREalgkkRERESkgklSiOzcuRNjx45FREQEsrKy8K9//avH+NLSUmRlZSEiIgLjxo3Da6+9FqSehp4/Y1VSUgJJkrqU//znP0HscWiUlZVh3rx5SE1NhSRJeOedd3o9Jlznlb9jFa7zauvWrbj//vsRExODYcOGYcGCBbh48WKvx4XjvApkrMJ1XgHArl27cN9997lfFJmdnY3Dhw/3eEwo5hWTpBDYu3cvli9fjp///OcoLy9Hbm4uCgoKUF1drRp/9epVzJ07F7m5uSgvL8f69evx4x//GPv27Qtyz4PP37FyuXjxImpqatxl/PjxQepx6LS0tGDKlCl45ZVXfIoP53nl71i5hNu8Ki0txdKlS3HmzBkcO3YMNpsN+fn5aGlp6faYcJ1XgYyVS7jNKwBIS0vDtm3bcPbsWZw9exbf+ta3MH/+fFy4cEE1PmTzSlDQfeMb3xBFRUVedRMmTBBr165VjV+zZo2YMGGCV90Pf/hDMXPmzH7r40Dh71idOHFCABC3b98OQu8GLgDiwIEDPcaE87zy5MtYcV4p6urqBABRWlrabQznlcKXseK88hYfHy9ef/111X2hmle8khRkFosF586dQ35+vld9fn4+PvjgA9VjTp8+3SX+4YcfxtmzZ2G1Wvutr6EWyFi5TJ06FSkpKcjLy8OJEyf6s5uDVrjOqzsR7vOqsbERAJCQkNBtDOeVwpexcgn3eWW321FcXIyWlhZkZ2erxoRqXjFJCrL6+nrY7XYkJyd71ScnJ6O2tlb1mNraWtV4m82G+vr6futrqAUyVikpKfjjH/+Iffv2Yf/+/cjIyEBeXh7KysqC0eVBJVznVSA4r5RvTl+5ciVmzZqFSZMmdRvHeeX7WIX7vDp//jyMRiMMBgOKiopw4MABfO1rX1ONDdW80vXbmalHkiR5bQshutT1Fq9WfzfyZ6wyMjKQkZHh3s7Ozsb169exfft2PPjgg/3az8EonOeVPzivgGXLluGTTz7ByZMne40N93nl61iF+7zKyMjAxx9/jIaGBuzbtw+FhYUoLS3tNlEKxbzilaQgGzp0KLRabZcrIXV1dV2yZJfhw4erxut0OiQmJvZbX0MtkLFSM3PmTFy6dKmvuzfoheu86ivhNK+effZZHDx4ECdOnEBaWlqPseE+r/wZKzXhNK/0ej3uueceTJ8+HVu3bsWUKVPw+9//XjU2VPOKSVKQ6fV6ZGVl4dixY171x44dQ05Ojuox2dnZXeKPHj2K6dOnQ5blfutrqAUyVmrKy8uRkpLS190b9MJ1XvWVcJhXQggsW7YM+/fvx/HjxzF27NhejwnXeRXIWKkJh3nVHSEEzGaz6r6Qzat+fSycVBUXFwtZlsXu3btFRUWFWL58uYiOjhZVVVVCCCHWrl0rnnjiCXf8559/LqKiosSKFStERUWF2L17t5BlWbz99tuh+ghB4+9Y/e53vxMHDhwQn332mfj000/F2rVrBQCxb9++UH2EoGlqahLl5eWivLxcABAvvfSSKC8vF9euXRNCcF558neswnVePfPMMyI2NlaUlJSImpoad2ltbXXHcF4pAhmrcJ1XQgixbt06UVZWJq5evSo++eQTsX79eqHRaMTRo0eFEANnXjFJCpFXX31VjB49Wuj1ejFt2jSvPxMtLCwU3/zmN73iS0pKxNSpU4VerxdjxowRu3btCnKPQ8efsfrNb34j0tPTRUREhIiPjxezZs0Shw4dCkGvg8/158SdS2FhoRCC88qTv2MVrvNKbYwAiD179rhjOK8UgYxVuM4rIYR4+umn3f+vJyUliby8PHeCJMTAmVeSEM4nn4iIiIjIjc8kEREREalgkkRERESkgkkSERERkQomSUREREQqmCQRERERqWCSRERERKSCSRIRERGRCiZJRERE1K/Kysowb948pKamQpIkvPPOO/3a3saNGyFJklcZPny43+dhkkREA9rGjRvx9a9/PejtlpSUQJIkNDQ0BL1tortNS0sLpkyZgldeeSVobWZmZqKmpsZdzp8/7/c5mCQRUch0/k2vc1myZAlWrVqF999/P+h9y8nJQU1NDWJjY4PeNtHdpqCgAFu2bMHjjz+uut9isWDNmjUYMWIEoqOjMWPGDJSUlNxRmzqdDsOHD3eXpKQk/89xRz0gIroDNTU17vW9e/fiueeew8WLF911kZGRMBqNMBqNQe+bXq8P6PI8EfnvqaeeQlVVFYqLi5GamooDBw5gzpw5OH/+PMaPHx/QOS9duoTU1FQYDAbMmDEDzz//PMaNG+fXOXgliYhCxvO3vNjYWPdzA551nW+3LVmyBAsWLMDzzz+P5ORkxMXFYdOmTbDZbFi9ejUSEhKQlpaGN954w6utGzduYNGiRYiPj0diYiLmz5+PqqqqbvvW+Xbbm2++ibi4OBw5cgQTJ06E0WjEnDlzvBK9zm7fvo3FixcjKSkJkZGRGD9+PPbs2eNXn9544w1kZmbCYDAgJSUFy5Yt83l8iQaDK1eu4K233sI//vEP5ObmIj09HatWrcKsWbO8/r34Y8aMGfjLX/6CI0eO4E9/+hNqa2uRk5ODW7du+XUeJklENOgcP34cN2/eRFlZGV566SVs3LgRjzzyCOLj4/Hhhx+iqKgIRUVFuH79OgCgtbUVs2fPhtFoRFlZGU6ePOlOciwWi8/ttra2Yvv27fjrX/+KsrIyVFdXY9WqVd3Gb9iwARUVFTh8+DAqKyuxa9cuDB061Oc+7dq1C0uXLsUPfvADnD9/HgcPHsQ999xzByNHNPB89NFHEELg3nvvdV85NhqNKC0txZUrVwAAVVVVvd6e9/wFoqCgAAsXLsTkyZPx7W9/G4cOHQIA/PnPf/arb7zdRkSDTkJCAl5++WVoNBpkZGTgt7/9LVpbW7F+/XoAwLp167Bt2zacOnUK3/3ud1FcXAyNRoPXX38dkiQBAPbs2YO4uDiUlJQgPz/fp3atVitee+01pKenAwCWLVuGzZs3dxtfXV2NqVOnYvr06QCAMWPGuPf50qctW7bgpz/9KX7yk5+4j7v//vt9HyiiQcDhcECr1eLcuXPQarVe+1y32keMGIHKysoezxMfH9/tvujoaEyePBmXLl3yq29Mkoho0MnMzIRG03EhPDk5GZMmTXJva7VaJCYmoq6uDgBw7tw5XL58GTExMV7naW9vd/+m6ouoqCh3ggQAKSkp7jbUPPPMM1i4cCE++ugj5OfnY8GCBcjJyfGpT3V1dbh58yby8vJ87h/RYDR16lTY7XbU1dUhNzdXNUaWZUyYMCHgNsxmMyorK7s9f3eYJBHRoCPLste2JEmqdQ6HA4Dym2pWVhb+/ve/dzmXP3/xotaGEKLb+IKCAly7dg2HDh3CP//5T+Tl5WHp0qXYvn17r33yTAKJBrvm5mZcvnzZvX316lV8/PHHSEhIwL333ovFixfjySefxIsvvoipU6eivr4ex48fx+TJkzF37ly/21u1ahXmzZuHUaNGoa6uDlu2bIHJZEJhYaFf52GSRER3vWnTpmHv3r0YNmwYhgwZEtS2k5KSsGTJEixZsgS5ublYvXo1tm/f7lOfxowZg/fffx+zZ88Oap+J+trZs2e95vHKlSsBAIWFhXjzzTexZ88e9+3lGzduIDExEdnZ2QElSADwxRdf4Hvf+x7q6+uRlJSEmTNn4syZMxg9erRf52GSRER3vcWLF+OFF17A/PnzsXnzZqSlpaG6uhr79+/H6tWrkZaW1i/tPvfcc8jKykJmZibMZjPeffddTJw40ec+bdy4EUVFRRg2bBgKCgrQ1NSEU6dO4dlnn+2X/hL1l4ceeqjHq66yLGPTpk3YtGlTn7RXXFzcJ+fh9VwiuutFRUWhrKwMo0aNwuOPP46JEyfi6aefRltbW79eWdLr9Vi3bh3uu+8+PPjgg9Bqte7/vH3pU2FhIXbs2IGdO3ciMzMTjzzyiN8PnhJR4CTRU2pHREREFKZ4JYmIiIhIBZMkIiIiIhVMkoiIiIhUMEkiIiIiUsEkiYiIiEgFkyQiIiIiFUySiIiIiFQwSSIiIiJSwSSJiIiISAWTJCIiIiIVTJKIiIiIVPwfLGH3cVFiLu8AAAAASUVORK5CYII=",
"text/plain": [
""
]
@@ -433,7 +611,7 @@
"source": [
"tf = 3e-5\n",
"tol = 1e-2\n",
- "rms.plotmolefractions(ssys.sims[0], tf, exclude=[\"N2\"], tol=tol)"
+ "rms.plotmolefractions(ssys.sims[0], tf, exclude=to_julia([\"N2\"]), tol=tol)"
]
},
{
@@ -450,19 +628,40 @@
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 13,
"id": "5d2f1214",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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V/+VO+md043me570+EaGzp8JN77+K5dfOZ8uGF3nsq8/y8rbDtJsxp46O88A/buT5x19m3T0ruemeFUyf3YfWCs/zvNcYvHNy5vgE//JXj3Lo5ePgoH9GFx//3TuYt3QGIoLneZ73xokI3f1Vbr13NStuWMAzj+7k0a9s5pUXj5HGGSP7TvLlv3yUZ9bv5Pb71nDdXcvoGehARPA8zzN4b1irEfPNL25k6xN7sNZR7ijy4d94D6tuXoxSCs/zPO/8KCX0Te/i7l+9jpU3LuTxB7ax4RvPcfSV06RJxt7tI4zsO8Wm9Tu56+PXctX1C6h0FvE879Jm8N6QPLc8/cgOHr1/E0mcYgLNuntWcuu9qwgiw7ubAyw4y08QATQgeJ7nvVlaK4bm9PPLv3ULa26/gu9+7Tkef3Arp4+O027GPP/4y+zdPsKqdYu561euZeGVswgLAZ7nXZoM3utyDvbtGOErn/8OE6N1RIQlq+bwoU+vo9JZ4p3NgWvjXAtcC+wUzo7i7Ci4KbBNnGsBbXAxPykAKSBSBCmAVBDVCaoLUZ0gVZACIhFIAdB4nue9HhNo5iwaYsb/2s81ty3hkfs3s/mxXUyNNZgab7DhG8+x69kD3HTPCm679xpmzO1Ha4XneZcWg/e6xk5N8q//92Mcevk4Z02b2cNHfuc2hub08c7iwMU4NwX5SVx2CJcfxuWHcNkIzp4GVweX4FwCpOByIOf1KUCDGJAAIQAJQMqI6kf0NFADiB5E9AxEzwTVi6gSSAnQeJ7n/biwELD0mnnMWTyDtbcv5aEvPc3OTftpNWJOHhnj3/52A9ue2MOdH1vLdXctp6uvgojged6lweD9XEk75aEvPcOWDS9hraNULXDPr9/I8mvnIyJc/HKcrUF+DJvuwqXbcOlLOHsMZxvgWkDOm2cBCy4F18LxA479/AcJQIqIlED1InoYMbMRfRli5iN6CFEdICVA8LwfZnNLnlusddjcYq3D5hZrLTZ3WGux1uFyS24deZaTpzlZZsmznDyz5FlOlllsnvPDnIM8tzjreI0IKK1QStBGo5SgtEYpQRuFKMEYjQk1QWhQSqG0oJRCKUGUoJRCKUFphdIKrRVKC0opvDeuXC1w7R1LWbRiNk8/vINH7t/Egd1HydKcvTtGOPLKKbZseJH3/qfrWbpmHoVSiOd5734G72dy1rHtqb08/KWniVsJ2ihu+KUrufXe1QSh4aLlEpybwGX7cclz2OQ5XLYXZ8fBtQHHL4xLwaU4piA/gUt3AQISIVIFPYAy8xGzEAkWImYeonpAyoDgvfNZa8lTS5bl5FlOluZkmSVPc+JWQqsZ02oktJsx7UZMqxnTaiS0mzHtRkLcTkjijKSdksQpSTsliVOSdkYSpyRxShJnWOtw1uGcw1mHcw7nHM46nAPnHD/OWYfjR4mAiCAiICAiiICIgICIoJSglMIEmiAyBKEhCA1BaAhCQxAZokJAVAwpFEOiYkBUDImKIVExpFAMiAohhXJIsVygWI4oliOC0KCNQhuNMQptFFprdKBQSnGpERF6Bjq4+1eu5crrLmf9V5/le994nlNHx2jVYzat38Xe7SPc+L6ruPOjaxmePw1tFJ7nvXsZvJ/pxMgoX/3CdzlzYhIE5i8d5kOfWkdHd5mLiwPXwtkzuPRFbLIFlz6Pyw7j7CSQcXFz4No41wZ7mjzdBRhQZUT1I8EilFmCBFcgZj6iekAivIuDtY48zUnTjCzNydKcNMlo1dvUJ1s0am2atTaNWotGrU2z1qZRa9GotWnW2jRqLZq1Nq1GTJbm2NySZ5Y8z8kzS55b8sxic4tzjncLEUFpQWmF1gqlFNootNFordCBJioElCoRxXKBYjmiWIkolSNK1QKlapFytUCpWqBcLVKqFihXC5QqBYLQoI3CBBoTaLTRmEAjIrwbKK2YOW+AX/ndO1i1bjHf+ucn2fLdF6lNNhk9Ock3v7iR7U/v466PX8uN772Szt4KIoLnee8+Bu+najViHvinJ3nxuVdwztHVV+XDv7GOWQsGuThYsHWcPYZNtuGS57Dpdpw9AbYBWN7ZMrCTODuJy/ZheQhRVdDDqGA5El6JCpYhegikDAjeWyvPctIkJ0sz0iQnjVMatTa1iSa1ySb1ySb1iRa1ySb1ySb1iSa1yRb1ySaNqRZxKyVLM7LMkmc5WZqTZznWOt4KIoLSCqUEpRVKCUorlBKUVogIIoIoUCKICKIEEUEbjShBBLTRCD+bc448s1jryPMc5wDncA6cczjnsNbhrMVah7MOmzustTjrsNZhrcXmFmsdr3HOkWeOPLOknDulBG00JtBoozFGoQNNEBqK5YhytUC5WqTcWaTSUaTSWaLSUaTcWaTSUaTSWaLSWaRUKRBEBhNoTKAxgcEEGq0VF7uwELB09VwuWzjIlg0v8eD/+yR7th0iiTMO7D7KP/wf32Tbk3v44Kdu5opVc1Ba4Xneu4vB+wnWWjY/tovvfPVZ0iQjCA23fOhqVt+yBKWEX5wcZ6dw+SFcsgWbbMalL+HsGXBt3joKJAQJEQygQTSgAeEHHJCDywEL5DiXAim4FHC8dTKcHQc7Tp7ugNbXEN2PmKWo8GpUuBLRs0FVAYX3s9nckiYZaZKTJhlpktKotamNN5kabzA13mBqvMHUeIPaeIOp8QZTY01qkw3azYQszcnSnCzNyNKcPLOcD6UEbTTaaEyg0EajtUIbRRAaCqWIQimkWI4olCKKpZBCOSIqhoSRIYwCwkJAGBnCQkAYBYSFgDAyBJHBGI02Gm0Uxmi00Rij0EYjShDhVSICws/mwDmHc+Ccw1lHnlucdeRZTp5b0iQjTTLSJCdNMtI4I00y0iQjTTLSOCNuJ7RbKXErIW4lxK2EuJXSbiXErZS4ldBqxMSthCzLyTNLnuXkmSXPLXmWk2cW5xxnWeuwSUaaZLwhAlprTKAxgcYEGmM0QWQoVwuUO0tUO4tUu0pUOktUu0pUO0tUukpUu0pUO0uUO4oEkSEIDCbQmFBjAoNSwoWUJhkTZ+p0D1QxRvMjBCqdJW56/woWrZjNY197lse+uoWTI6O06jGb1u+kf6iLBcuHiYohnue9uxi8n3B470m+9rcbmBirIyIsWTWH933iBorliLefxdkJXLYfl2zGJs/isj04OwYu4c0xoIqIlEENIHomoqchqhdUL6J6QMogRUQVgSKI5gcsuDa4Fs61wbVwdgrsBLgJnB3H5afBnsLZM2AbONcE1wZyzp8D18Rlh3DZIWz8KKL6kOAKVHgtKlyDmFkgJUC4lORZTprkpElGmmTErYTaRJPJsQaTo3Umx+pMjtaZHKszNdZgcqzO1HiTuBmTpjlpkpElOVmaYa3jXIhyKONQgUMbizIOHTjCkqJQEQoVIapAWLZEFShWDMWqplTRlKsFipUCxVJEoRwSFUJMYDAmQGmFNprAhBgTYnSIMQFKDEoMgkFJiJYQrUKUhAgaQSGiEDRKNIJGRCNolGhAeLs557C5w+aWPLfY3JLnFptb8txic0uaZLQaMa1GTKsR06rHtBoxrUabZiOmVY9p1to0ai2atTaNWptGrUWrEZMlOVmWk2c5WWrJs5wszXHOgYM8y8mznLjF61JKYQKNCTUm0ASBIYwM5Y4ila4S1c4S1a4Sla4S1c4S1a4Sla4S1c4S1a4SpWqBIDSYQBMEBhNqjNGIEs7V6IlJvvC5f2PFDQu46f0r6eytIMKPUEoYnNXLR377Nq66fgEP/ONGtmx4kc6eCje9fwVRMeRVzsHhw7xqaAj27YNiEY4cgYkJ6OqCq66CSgXP8y5+Bu9HNGotHvjiRvbvOgIO+oY6+fBvvofBWb28fSzYGi5/BRtvwiZP49IXcXYcyDh/ClFVUINIsBBlFiJmLqJngepFVAmIQAwgnAvhxzlwGRDjXBtcC/Iz2PwI5Edw+QguP4zLjoCbxNkmkHJeXILLj+HyY9j4cURNQ8KrUNENqOBqRE8HKfBuYK0jiVOSVkq7FTM13mT89BTjp2tMnqkzMVZncrTO1FidybEGtYkGcSslTTLSJCNNMvLM8oYJKGPRgUMZiw4cOrSE5YyomhFWM6JqRljNiKoZYTUjqmZE1ZSwmhFVcnTo0EZQBrQGZUAZhygBHOA4ywINoMFrBEEgB3IgFgQBBEGBCIIACkEQ0QgKEY2WACURWkK0FDGqiJEiRhXRqoiREkYVCVSFQFUIVIVAVQlUBaOKKAKUBGgJUBKixADCmyUiaCNoowg4Pza3ZJklz3KyNCfPcrIsJ40zmvU2zVqbRq1NY6pFo9amPtmiMdWkPtmiMdWiNtmiMdWkUWuTxhlZlpOlOVmak6UZeWY5y1pLEluSOOX1aK0wgcaEBhNoTKCJCgGVzhKVzhLVrhLVrhLVzhKVrhId3WU6e8p09JTp6C5TKIYEhYAwMgShQUT4YSePjPHicwd54em97Ni0nw988mYWXTULExp+XBAZrlg1l1mXD/Lsd3djc8vly4b5D87Btm2QpnDTTfDoo1CrQUcHLF0KzzwDrRbceisohed5FzeD9x9sbnnm0Z088eA28swSFgLu/NharrruckSEC861cfkINnkGGz+BS3fi7Ci4lPNnENWNmPlIuBIVXoWYBYjqASkBwoUhIAEQIFLhVXoYzQrAgYtxrgl2ApcfwmX7cdk+bLoH7DGcrYFrA45z4mJcfhjXGsG21yN6Biq6Hl3+dUQP847hIE0yWs2YViNm9MQkxw+d4fihUU4dHeP08QlGT0zSrLVJ4pQkzkiTDJtb3ihlHDqwqMCiA4cOLUEpJ+rIiDpSCp0pha6UQldKoSMl6swodKSElQwdWlTgUMahjUUZh2jHG2X5Psfrc1wwgkKJQcSgMCgxiBi0RASqQqg6CHUXke4kVJ1EuotQdxKqLgq6h1B3oCVCSYiWCCUGEC40pRWhVhAZ3hAHeZ6TpTlZmpOlOVmWk8YZzXqb+mSL+mST+lSL+kST+lSLxlSL2mST2niT+mST2kSTdishS3OyJCdLM9I0x+aWs/LckueWuJ3yerTRBKEmCA1BaAgLAZ09FXoGOugeqNIz0En/9C76pnfRN72LaleRgy8fp9WMSdopTz20nQMvHuPuj1/LLR9aRfdAFRHhRwhUu0qs+8DVOGvRRvMj2m3YuBGOHIEtW3jV7/wOrF0LcQwHDsC6daAUnudd3AzefxjZd5J//4cnmBpvICIsWzOPOz6yhrAQcOHkODuKS7Zi48exyWZcfhRcm/MmBUT1I8ESVLACCVciZg6iOgHD+XLOYa3FOYdSCqUU50dACogUQPUgZi5E68DFODcF+XFsugeX7sRlO3HZEZybBJfwxjlwTVy2Fwvo0n/inDWbMDYGzkFvL5RKXChpktFqxEyO1jl28DRHDpzm+KEznDg8yqkj49SnmrQaMUk7xVrHzyWgtEMHFh1aVGAJSzlRZ0qhK6XQlVHoTCl0pRQ6UwqdKVFHSlTN0KFFGYcKLDpwqMAiwruSw5K7BFzC6xOUGJQEKAnQEmKkTKS7KZheCrqHSPdS0L0UTT9FM0CkOtFSQKsCSkIE4RdCQBuNNpqoyOtyzpGlOVmak6U5WZqRxBmNqRb1yRa1iSa1iQa1ySb1iRa1iSa1yQb1iRa1iSaNWos0yciSnCzNyNKcNM2xueWsPMvJs5x2M+E1Jw6P8hpRQhgFRIWAYjmie6CD+mSTNM44y1rHsVdO88//7SF2bj7ABz91E0tWzSGMAn6cUgJK8xO0hsWL4Zpr4PRpGBmByUnIMpiYgCAAETzPu/gZvFc1am2++cWN7N91lLP6h7r40KfX0Te9iwvCJbh8BBs/jm2vx2a7wU4BjnMnIBVED6HC5UiwEhVciZgZIGVAcS6stdRqNUZHRzl8+DCHDx/m9OnTTExMEMcxzjmCIKBardLb28vMmTOZPXs2AwMDdHZ2EoYh505ACogUQA2ggyvB3UNuJ5B8BJfuwqbbcOkuXH4CXANwvD5BhdcgeohzUq/D/ffD+Div6uiAj3wEOjt5s6x1tBsxtYkmJw6PcnjfSY7sP8mRA6c4fmiU2kSDViNvkOeFAAAgAElEQVQhz3J+KgEdWExk0ZElKGUUu1OK3QmFrpRCZ0ZUTSl0pRS6UgpdKWElQ4cWHTp0YFHGIcrhvVEO61KsS/mB09TSg7xGUCgJ0BKhVYFQdVI0/RTNNEpmgKIeoBRMp2QGCVUVLUW0ihAUFxMRIQgNQWh4PdZasiQnS3PSNCdLM9I4o9mIqY03qE00qU82qU02mRptUJtsUptoMDXWYGq8QbMek8YZSZySxBl5luOsI24lxK2EqfEGJ4+M8dO0mwmbH9vFwZeOcftH1nD7fdfQP9SFiPC6SiWYOxcWL4YdO2DGDNiyBY4dgxMn4H3vA63xPO/iZ/CwuWXz+l088eA28iwnLATc8dE1LFszDxHhLeVa2HQ3tv0INn4clx8EF3PuNKI6EDMHCVaiwhVIcAWi+kEKgHAunHNMTEywa9cunnzySTZv3sxLL71Es9nkLBEhCAKiKEIpRZIkxHGMtZaztNZcdtllrFy5kuuvv56rr76awcFBjDGcN4nYVUuYTDpY0fNRyqVfhvw0LtuNTZ7FJs9DPoKzU4Dlp1KdqOhmkALnZP9+OHUKPvlJEIG/+Rs4dAiWL+dc2dzSqLeYHG0wsu8kB186zisvHuPw3hNMnKnTrLdJk4yfRhlLULQEpZxSb0J1qEVlWkx5IKbcH1PqS4g6Ukxk0aFFBQ5tLAje28xhyV1M7mKwU7Q4xWSyl7MEQUmEUQWMKlPUA5SDIcpmiFIwRNkMUTaDBLqKkRJKAt4JlFKEBUVYCHg9eW7J0pwsyUiTjDTJaNbaTIzWGT89xdipGmOnJjlzfJLTx8YZOzVFqxETNxPidopzjh/nnOPkkTHu/+v17Nq8nw9+eh1XXjufqBjyM4nA2rW8qlCAu++GMISTJ2F0FNatg1mzOHrsGFEU0dvbi4jged7FyeAxsv8UX//77zE13kBEWLZmHnd8ZA1hIeAt4xrYdCe29QA23oDLTwA550Yjqgsx85FwNSq8GjGLENUDEnA+nHOcPHmS9evX87WvfY1t27YhIixYsID3v//9LFq0iNmzZzNt2jQqlQpaa86y1tJutxkdHWVkZIS9e/eyfft2HnzwQb785S8za9Ys3ve+9/GBD3yA+fPnEwQB52OkMcZf73mMa3rn8uFZq1jUMUxQuAwV3Yqzo7j0JWyyCZdswuYHwdYAx2uUuRwJl3POWi1QCopFcA5EIMs4H6ePjfMP/+c32LPtCLWxFs1GjM0tP04ZR1DKKXSmVIdadMxo0THUpjrUpjLYptCZYYo5JrKIcrz9BBGFoBA0IgpBI6IQFIJCRAGCoBDRKDQiBkGjRCNoRAxKNCD8MEEhonEux2F5jXMZDgdYrMuxLsWRY12GczkOi8PinMVhAYtzFkeOw+JcjiXHOQs4fhEcjty1yfM2cT5BIz3KmfZWBEFJhFFFQtVBOZhJNZhFJZhFNZxF2QwRqg6MKqMk4J1Ma4XWiqgQ8MNm8wN5ZknaKe12QrPWZvTkJNuf2se//T8baNbb/CxJO2Xbk3s5dugM7/u1G7jr42updJb4qUSgp4f/MDjIq3p6wDkQ4azR0VF27NjBbbfdxrRp0/A87+JkuMQ1620e/Kcn2b/rKGf1DXXxoU+vo296F28J18amO7Gtr2Lj7+HyU4DljVOI6kDMPCRci4quQ8zliOoCDG9GvV7nscce4wtf+AI7duxg3rx5/NZv/Rbvec97mDt3Lp2dnRhj+Hkuv/xy1q5di7WWRqPBsWPH2LRpEw8++CCf//znuf/++/m1X/s1PvrRjzJ9+nREhHNRMRG1tM2/H9nK1rFDvHfGldw9YzlDxW6UHkL0ECq6EWdP49Lt2PgpbLIZlx8BUlR0I6J6OWczZkCtBhs38qosg8FBzofSiiN7z3D84BivEeUwBUtUyShPi+ma3aRzVpOu2U06ZrSJOlKCQo4KHG81QRAxKAlQGEQ0SgyCQUuEUSUCVcKoMkZKGFUiUCWMKqGlgJYIrQpoidBSQEuElhAlAUoClIRoCRAxCAoQBAEEEQEEQfGTBEFwWH6YwwGOs5yzgMPhAIvDYl2GdSm5i7EuIXcJuY2xLiF3MZlrkdkmmWuR2xaZbZG5FpltkNo6qa2T2ga5i3Euw7oMS4Z1KdZlgONCcThy1ybP28T5OLX0ECd4EiUhRpUIVZWymUFHOIeOcB4d4RzKZjqBqqJVEUF4N9FGUaxEFCsR3X1VZszpZ/x0jZ9GKaFQiih3FBiY0c3wvGkMz5/G3CUz0EZzXkR4zaJFi5icnOSRRx7hzjvvZGBgAM/zLj6GS5i1jue+9xKPP7CVPMsJI8Pt913DsjXzEBHenAyX7SdvfR3b+hYuPwpY3hgBKSHmMlR4LSpcgwRLEdULYniznHMcOXKEv/qrv+LLX/4yw8PDfO5zn+POO+9kcHAQrTXnSilFtVpl4cKFLFiwgHvuuYfNmzfzxS9+kT/7sz/j8ccf5/d///e55ppr0FrzRlWCAkYUubMcbJzhb/d9j6fO7OPeWau4cWABHUEJkQDRQ4geQkXrcPkJbPocLt2Jim4FNOdsaAg+/GF4+mnQGu69FwYHOR/VrhJzrxjiyOHDRB0pncMteuY16JnfoGt2k0JXQljK0aEF4TwJSjRKQpQEKAK0hBhVItQdBKqDUFUJVQeB7iBUHYS6SqAqGCljVIlAlVASosQgaEQMCo2IRmEQUYDwzuVwzmLJcS7HkWFdhnUZlpTMtkhtndTWSG2NOJ8gySdJ7CRxPkGSTxLbCdK8Ru7a5C4hdwnWpYDjrWRdQpInJPkE9XSEk61NaAkJVIWC6acjmENnOJeOcB4d4Rwi3YNRJQTFu4lzjuMHzxC3E8JCQKlSoLu/yow5/cxeMMisBYPMnDtAd38HpWqBMDKICG+FMAxZs2YNzjkefvhh7rrrLvr7+/m5nIOjR2HrVkhTmDMHli6FIMDzvAvDcAk7cfgM3/j7x5kaqyMiLFk1lzs+soawEHD+HM6ewbYeIG/9Ky7bBy7jjQkQPYCEK1HRe1Dh1YiaBhLyVnHOsWfPHj772c/y9NNP8/GPf5zf/M3fZM6cOSileCuICF1dXdx+++2sWrWKr3/96/zFX/wFn/nMZ/jc5z7HXXfdhTGGN6JqChileU1iM7aOHWJ/7RQbT+3lvtmrWdo5k0gbXiUFxFyGNrOh8F6QgPOiNfbKK2nNm4fSGtGaglKcj6gYcv1909ArDlGZOU7UmRKUcpR2vFFKDEpCtIQoCTFSItJdRLqbSHcT6W4i3U2ku4l0F6HqIFBVtEQoCVBiUBIgGJRoQLj0CCIajQbhDXE4nEuxLiV3KdalZK5FnI8R52O081Ha2RjtfJR2Pko7O02cj5O5Frlrk9sER86b58hdTJ7HtPNRJuKXENEEUiLSPXSE8+iKFtIdLqQaziHSXRhVQlC8k+WZpXugygc/dTMz5vQzc940Bod7KFWLFEshSisupDAMWbt2LWc99NBD3H333fT19fEz1WrwjW9AXx/098NDD0GhAIsX43nehWG4RLVbCQ996Rn2vHAY56BnWpUPfPImBmZ0c95cjE23kjf+ARs/Ca7JGyJFxMxDR7eiCu9BzFyQMiC81Q4ePMgf/uEf8sILL/DZz36Wj33sY1QqFS4EEaGnp4dPfOITLFiwgD/+4z/mD/7gDwiCgNtvvx2lFK+nbCJCZfhxU2mLR47vYPvECHcNLeP9M65iVrkXLYr/QUAKvBlTU1Ns2LCB7u5uoihi9erVaK05VyLC/CsHOTUtpp23+GkEhVYRSkK0RASqSkH3UjR9FHQfBdNHQfdR0N1EuptAVdESoiRESYCSAEHhvbUEQSRESYjhB6rBLF7jcFiXYl1M7mJSW6eVnaGVnaSVnaKVn6KZnaSZnSDOx8lsi9y1sC7jzXAuJ3E1Elujlh7iWON7BKpMwfTSEc6jO1xET+EKqsFlhLoLLSHvNNoo3vOBq9FGoY3mFyEMQ9auXcu+ffv4u7/7O2bMmEG5XEZE+GHFYpGVvb30T0zAhz8MXV2wZw8cOwaLF+N53oVhuAQ553jhqb1852tbSJMME2hu+dAqrrp+ASLCuXM4ewrb/Ffy5r/i8qOA5ecTUFVUsBJVuAMVXYeo6SABF8rk5CR//ud/zvPPP8+f/Mmf8LGPfYwoirjQjDFcd911/Omf/im/93u/x3/9r/+V4eFhlixZws+TO4sDijrgp7HOcaw5zj8deJJnTu/jw7NWccu0xXRHZQThzcrznKmpKcIwJM9z3oyC6SXUHaS2jpYIo4pEupuimUbRDFDS0yiYfgq6l6LpI1AdaInQEqElRETjXZwEQUuIlpCAKgXdRzW4jP/BYV1K7mIy2yLOx2lkx2ikx2hmx2hkx2ikx0nyCVLXILdtHJbz4chJ7BRJMsVU8grHZAOBqlI2Q/QUrqAnWkpXtIii6SdQFQTFxU5ECAsBv2hhGBIEAcPDwxw8eJA77riDIAj4YWEYUlQKkgQmJqBQgMlJKBTwPO/CMVyCTh8b5xt/9z3GTk2BwMKrZnHXx6+lUAo5dzku3UVW/zw23gCuzc8niOpEwlXowvuR6DpE9QDCheSc45FHHuHrX/86n/70p7nvvvuIooi3i1KKFStW8Ed/9Ed85jOf4W/+5m/4o//9v5AFQjNLqGdt6lnMVNqikcXU0jZTaYszcY0zcZ2fJ7U5uyePcejFh3ny1F7unbWKlb2XUdIhF4tIdbGw63/CupSiGaBkBglVJ0YV0BKhJAAE791GUBKiJCRQVYpmgK5oIWdZl5K5Nrlt0s5HqaWHqSUHqaWHqKcjtPMzpLZBbts4LOfKuow4HyfOxxmLd2PUN4l0D53hPHoLV9JXuIpqMJtQdyBovJ9PRJg9ezZZlrF06VIKhQI/IY5h8WL42tegUoFyGRYuxPO8C8dwiUmTjMe+uoVdW17BOUdnb4V7fv0mps/u45y5Jra9nqzxBVz6MmD5uaSCClejS/ch4RpEdQHC2+H/Yw9OwPwuC0Pff9/3/W3/dfaZTDKTZSb7QhJIICAQiGigQF2CWLdS1Ara1t7a06Pt9bTPuad9tOt5WrtoLVZF6xZAFGQRAkF2AmTf92Qy+/Zff/t773iujyQZIIEEsvw+n6GhIe68806mTZvGLbfcQjqd5q0mpWT58uWsWrWKu+++m9wVc9jU6FINfUIdE8YRgY6J4ohAR8RaczLKocfjvdvZPHKYG9oW8dsd76DOynAmMGSaqbkbSSR+RQoTS5ggc6SMFursuWhiwrhKGJdxowGKwQEK/n6K/l4KwQG8aIggLhHrgJOjCeMqYdxFOeiip/I0lqylxp5Oo7OIRmcReWsalqxFCoPEaxNCMC7bhhtvJNqzh9h1MTs7ob6eRCJx+hicZ3ZtPMQjq5/HdwOUIbnyhkUsuWoOUgpOho6HiCvfISp/Bx0P8JqEhTTmINM3I51rELIRELyVtm7dyqZNm/jsZz9LW1sbJyWKYONG2L0bDAOWLIG2NhCCk5VKpVi1ahWrV6/msbWPE1w3Gy8OOVU0mkBH2MrAlIpE4mwikJgygykzpIxm6uy5aGLCuIIfFygHXYz6uxn1d1Pw91AJevDjApH2OBmxDnGjAdzKAH3VF7Bknpw5labUYppTS8lb07FlDUIoEicpk+FIbS29vb0srq1FCUEikTh9DM4j5UKVB7/3DD0HBxkzZWYr1334MtJZhxOn0dERotJXiao/Bl3m1QmEakGm3o9K3YQw2gHF22Hjxo1orbn00ktRSnFS9u2Dn/0MrrkGenrg7rvhk5+ETIY3orOzkxkzZrC/q4dcMAMUp4QAJqbruLXzCq6beAEZw+aN0lojY8mcWXPI1+QJvRAda1AkEm8pgcSUWUyZJWNMpDm1hEh7BHGJStDDiL+TYW8bI/4uKsER/LhIrH1OlNYRXjSMFw0z6G5kb+EeaqzpNKcupjm1lJw1BVPmEAgSJ2a0UKC7p4eFcYxSikQicfoYnCe01mx8djfPr9lKHGtSGZtrP7SMyTMmcOI0OtxFWPxHYu9R0D6vSjhI6xJU5hakdQmIFG+XOI7p7u4mlUrR2trKSTt0CBoa4KKLoLcXNm6EchlSKZCSk5VOp5kyZQrbdq0jHQSgDN4sKQRz8hO5bcbVXNo0HVMq3hQNA3sHkP0SU5kUu4oEHQGGaZBIvL0ESjgo5eCoRuqd+UTaI4iLlIMuhr3tDHvbGPa2Uwl7COMympgToYnwomH6qi8w4L7MnsKPqLPnMiG1jKbUhWTMSSjhcD6yLAulFKZp8nqUUhiGgRCCRCJxehmcJ4ojFR5Z/QKFoTJCwNwl07js2gtQhuTEaHSwhbD418Tes0DE+ARCNqLSH0SmP4xQLYDg7aS1JgxDlFIopThp+Tz090NvLxw6BGEIGzdCfT0sWACmycmQUmIYBrgBtlYow8aQCkMoDCmxpUnGsMiZKbKGTU91lG2FI8RaMx5TKi5tnM5tM69mTn4iUgjeLCEFE2dN5OCmgxzceJCl712Kk3VIJM5EStgoZeOoRhqcCwi1ixcOMeLvYsjbzLC7lUKwDy8aIdY+JyLWIdWwj2rYR2/lGdLGBJpTS5iQvpx6Zz62qkUgOR+EQcjCeQupb6qnNlcLMeOK4xi/4jOheQJpJ03ohqiMQghBIpE4PQzOA1prNj27h03P7UFrTbYmzbtvvoT65jwnJkYHmwkLXyb2nwdixqcQ5hyM7KeQ9goQac4ESikaGhqoVCqMjIzQ1tbGSZk1CzZvhtWrQWu49FIYHoYjR2D6dDBNTobruvT19dFRO4Hb5q6koa6erGmTMxyypoMtTQwhMaXCkJL7Dm9g9/ZevCjkWBnD5tqJC7i18wompesQCE4V0zYxbZMojHCyDkIIEokzn8AQKQxzEhlzEhPTl+PHRcpBF0PeFgbdDQx5W6iGA0Ta5URE2qMYHKAUHORQ+RHqrNlMyLyDltTFZM12lHA4l5UGS/Rv7Ce/JM/w1mGaa5qx22yOFXoh257YRrYhi1fyCPoDOi7qQChBIpE4PQzOA8WRCmvuWUdppIIQMG/pNBZeNgMhBK8vRgcbCAtfJvZfBGLGJSykfRVG9vcR5hxAcSaZNWsWURSxYcMG5s2bhxCCE5bNws03w9AQ2Da/9OCD0NAApsnJ6u3tZfv27axcuZL3T78Ey7J4LfV2BkMoPEJeqcHO8qGpy7hp8lJqrTSnktaaI9uPIKVkysIp7Ht5H/mmPFbKIpE4mwhhYKs6bFVHvTOPqbkbKIfdDLob6a++xLC3lWrURxi7gOa1aDR+NEpv9Tn63ZfZa7TSnF7KxPRV1NtzsVQeEJxr8o158o15fvGdXzBj2QxqWmoYj+mYtHS28MKPXyDXkGPpe5cilSSRSJw+Buc4rWHzc3vY9NwetNZka9KseN8S8vUZXp9GB1sIC18i9l8CYsYlMqjUe1DZTyPUREBwplm0aBGtra3cd999XH/99dTW1nJSUimYNIlfqlRg4ULIZMAwOBlRFPHII48wOjrK8uXLsSyL15MzHEyp+BWBYHKmgU9Mv5J3tc4jpSxONR1plKmYfeVs0vk03bu6iYIIUiQSZzGBITPUWNOpsTqZnL2WatjLoLeFvuoLDLobqIZ9RNrj9cTapxgcoDR6iMOlR2lwLqA9+26anItwjAYEknOFUIJMXYbKaIVMbQZpSMYjhCCVTxFFEdKQ2BmbRCJxehmc4yrFKk/ct57SSAUhYN7SaSy8bAZCCF6bRod7CIt/T+y/BMSMS9ai0h9DZW5ByHrOVK2traxatYqvfOUrPPjgg3zgAx9AKcUbkk7DggW8ETt37uTOO+/kwgsvZNmyZZyIrOlgCMkYJSQLatu4febVLKmfhiEVp4M0JO3z2/mVziWdJBLnFoEh0+SsaeSsqbRlVlAOjzDgrqe38izD3lbcaIhYB7wWTYwXDXOk/AT91ReptWcxKbOCCenLyBgTkcLgbFceLnNo0yEuvOFCDm89zIQZE8g35jlW4AUc2HCAtjlteBWPIzuOMGXhFIQQJBKJ08PgHLdnSxebntuN1ppMzuGq91xEvj7D69HRYcLiPxB7TwMx4xGyHpW9DZX+EIgsZzLTNLn55pt59NFH+Yd/+AemTZvGxRdfjBCCt0pvby9/93d/R39/P3/xF39BY2MjJyJr2BhSYUmDK5pnctuMq5mea0EKQSKROBUEhkxTY00nb3UyObuSYnCAvsoL9FSfYdTfTRAV0GhenSaIS/RXX2TI3cz+wk+YlL2KSZkV5MwpSGFytgrcgKmLpzJpziS6GrsI3IDxREFEvilPS0cLlUKFarGKjjVCCRKJxOlhcA7zvYBnHt7EyECJMR3z2liwrBMhBK9Fx/1Epa8Qe2uAkPEI2YDKfgaVvhlEhrPB5MmT+cIXvsAf/uEf8qd/+qd86UtfYunSpUgpOZ201vT09PDlL3+Zhx9+mD/6oz/iqquuQgjBiUgpiyY7x4oJc/ntae+gJVWDIJFInA4CgSlz1NvzqbPmMDV/I0PuFrorT9JXXUcl7CHWPq8l0h4j/g4Kw3s5VPo5kzIraMteQ96cihQmZ5u6iXXUTaxjzNRFU3k1Ttah46IOxmTqMiQSidPP4Bx2ZN8ALz6+jTiKsWyTS1cuoK4xx2vSJaLyt4iq94P2GY+QDajs76PSHwCR5mwhhODyyy/nL//yL/niF7/IZz/7WT7/+c+zcuVKMpkMp0MYhmzevJm//du/5YknnuBTn/oUn/jEJ3AchxOVNR0+NeNqFta1kzdTJBKJt4YQCkc1MjGznJb0JZSCQ/RUnqWn8iQj3k78uAhoXk2sAwr+XkrBQbrKjzIp807as9eQM6cihUkikUi8WQbnqDiKeeHxrfQcGmLMxKmNLFk+G6kkr0r7RNWfEFe+B7rKuGQNKvO7qPQHQKQ52xiGwXXXXUc2m+Wv/uqv+NznPseqVau45ZZbmD17NpZlcSrEcUx3dzf33nsvd9xxB5VKhT/7sz/jIx/5CPl8npORNWwub56BQHDm0KCrEPUCMRjTAEkica5SwqHGmkHe6mRK7joG3Y10lR+jr7oONxxEE/FqYh1S8PdRCr5JV3kNbZl30p59F1lzClIYnG5e1af74CCGqZg0rRkhSCQS5wiDc9ToYIl1a7YR+CFKSZZcPYcJkxt4dTGx/yRR6WvoeJhxiQwq/TFU5kMg0pytDMNg+fLltLe3c8cdd7B69WoefvhhbrjhBq6//nrmzp1LbW0tUkpOhtaaSqXCoUOHeOyxx1i9ejU7d+7k4osv5g/+4A+47LLLsCyLN0IgePtp0GWIjqCDjeCvQwcbEMYsRP5/gqwhkTjXCSSOamRSZgXNqUsY9XfSVX6M7vKTlMMjxDrg1cQ6pODvZXtwiK7y40zJXU979hpSxgQEglMpCiOG+4tsf/kALz6+jUN7+rjlT36Dto5m3gpRFHNkXz/5+gw19VkSicTpYXCO2rnxEPu2H2FMTUOWi1fMxbQMxqfRwVbC4j+ho8OMSzio9E2ozK0gcpztpJRMnz6dP//zP+faa6/lu9/9LnfddRff//73WbBgAZdeeimLFi1i+vTp1NTU4DgOpmmilGJMHMeEYYjneZRKJQ4dOsSmTZt4/vnneeGFFygWiyxYsIAvfelLrFy5ksbGRoQQnLW0j/YeAfdhdLAZ4n7QLqDRuoqIDoOsIZE4n5gyQ6OzmDp7LlNyN9BdfoKu8loK/l4i7fJqYh0w6u9iy9BX6ak8RWfNTbSkLsWUGd4MrTXlgsuBnT28/IvtvPyLnRzY1UOl5HLZygVMnT2Rt0K5UOXJBzZw/51PseSqOdz8mWtw0haJROLUMzgH+W7Ause3USpUGTNz4WSmzp7Iq9FxP2Hpq+hgC6A5nkI616AytyFkHeeSVCrF8uXLWbJkCdu2bePRRx9l7dq13HHHHYRhiGVZtLa20tzcTG1tLalUCiEEvu9TKBQYGBigq6uLUqnEmNbWVlauXMk111zDkiVLaGhoQErJOSFYj3YfADRHiQfRwcsIcy4gSCTON0rY1FozyZsdtGevpbvyJIdKDzHi7STSLq8m0i591XWM+rtpy15DZ/4m8lYHAsnJCPyQvq5hNj+3h+fXbGXH+gOMDBSJwpgxmZzD5b+xiGxNitNNa82La7fzrb++n+GBIgM9o3TMmchl1y1ESkEikTi1DM5BvYeH2PjMbnSssR2Ti66aQzafYly6Slz+HrH3GBBxPIG0LsLI/h5CtXCuymQyLFmyhMWLF/PJT36Sw4cPs2XLFnbt2sXBgwfp7+9nx44deJ5HHMdYlkUul6OpqYlFixbR0dHB3Llz6ezspKGhAdu2OacIC8zFIFaDLnEU7YG/DlLvBZElkThfSWGQNduYXvMBJmaupLv8JAdLDzLi7SDSLuPTeNEwewt3M+RuZmbNR2jNXIkpM7wWrTWFoTI7NxzkpV/sYMPTu+g+MIBb8TlW5/w2FizrRAjB6SaEoGPuJCZOa2JksMRwf4HV//4YbZ0tTJ3dSiKROLUMzjFaazY9u5veQ4OMaW6rZ+Gl0xFScLyI2HuMqPI90FXGI4wOVPazCGMGIDjXKaVoaGigoaGBhQsXEscxruvieR5BEBBFEWOklBiGgW3bOI6DYRic64Q5D60mQriTY+lgMyLqBmMGicT5TqDIGBPprFlFa+ZyustPcLD0MCPeDiLtMh6tI4a9bawf/DuGvK3MqPktMuZEQDCeKIr5xf3r+f5Xfs5QfwEda8ZjOSaXXXsBdU053iqTpjXxgdtX8M9fXM1A9wi7Nx7injse55P/93vI1aZJJBKnjsE5plJ0efnJnXhugBCCCy6dTnNbPePRwXbC0lfRcT/jEbIBI/tppH0xIDkfSSlJp9Ok02nOe7IZYS5Ch7sAzVHifnSwAWFMBwSJRAIEiowxkc6aD9CauZKu0mMcKN1Pwd9DrEPG40Uj7Cn8iEKwj2pfhVYAACAASURBVDm1t9LgLEQKg2MZhmLpirlsfn4vTz2wgTCOGE9bZzNLrpqDlJK3ipCCxVfM4roPXcoP/+1RvKrPUw9sZPqCdq770KUYpiKRSJwaBueYIwcG2LnxEGPSOYfFV8zCdkyOpeMhwvId6GAboDmOcJDpDyKdawGDRALhgHURuPeBrnAUXQV/HTjXg0iRSCR+TaDIGBOZUfNBJqSXsb94HwdLD1EN+wDNsWId0Fd5lkrYzezaW2nLvBNDpjhWy6R6Pvq5axnuK7Dx2d0cyzAUy66ZT0tbPW81yzFZ+aFl7NnaxbMPb6JcqPKTbzzBtNmtzFvagRCCRCLx5hmcQ3Ss2fzcHob7CoyZOLWRGQvaOY4OiKs/IXYfASKOJ5H2Faj0R0CkSSR+RZgXoFULhPs4lg42IuJeUFNJJBLHE8Igb3Uyr/42WlKXsGv0+/RVXyDSLsfSaIr+fjYN/iOVsJvO/AewVS2vFMUxvYeGGB0qMZ6mSXUse/d8DFPxdqhvrmHVbVdzeE8fB3f10LW/n9VfXUNLewNNrbUkEok3z+AcUipU2fj0bgI/RErBgks6qWvKcTRNHKwnqtwJusR4hDETlf00Qk0gkTiKmoAw5qPDfRwn6kYHmxFqKolE4tUp4dCSvoS81cn+4k/ZV7ibctgDaI7lRkPsGPk21bCfOXW3kjYmAIIojFi3djvf/PJ9HNzVyxjDUERRjNYaKQUXXjmLydNbeLsIAbMWTuY9H7+S//zyTymNVnn5yZ088N2n+eDvXYOdskgkEm+OwTmka18/u7ccZkwmn+KCy2ZgWgavpKM+ovJ/oMMDjEfIBozsp5DmAkCQSBxFpMFaAt7PQbscRVfAXwf2u0DYJBKJ1yJIGU3MrP0odfYcdox8iwH3ZWIdcqwwrrC/+FP8eJR5dbeTEu089/MtfOtv76drbz9aa2obc1z93ovYsf4A217aT01DjndctxA7ZfF2UobiyhsWs2fzYR76wXP4bsBD33+WznltXLpyAVIKEonEG2dwjohjzZbn9zAyUGRMW0cznfPaOIr2iaurib0ngZjjCAuZeh/SeRegSCSOJxDWIrRshOgwR9PoYD0iHgA1iUQi8fqUsJiQXkbWnMTOke9ysPQgQVziWLH26So/huuWKT+3krv+aT09hwZBQ8OEGj70B+9mxfuXsG/bEb7+v35Mc1s9My5o50yQrUnxno8vZ//2bra9tJ/h/gJ3fW0NbZ3NTJk5gUQi8cYZnCMqRZctL+wlDCKkFMy/uJPahiy/pomDDUSVH4GucjyBNC9EZT4CIkMi8apUG8Kcg44Oc5zoMDrYhlCTSCQSJ0qQNSczv+H3yFqT2TXyXSphH6B5pcDVPLPmABu+9QiFXsGYlrZ6PvJH17L8xsVYjsnsC6dy21+8jzCMyeQczhRtnc3cdPsK/uWLqxnsHWXnxoP8+I61fPzPbiRXkyaRSLwxBueI3sND7Nl6hDHpXIq5S6dhmIpf0fEIUeU76Ogw4xGqBZX9JEJNJpF4TSID5hLw1oL2OUpcgmAd2MtBmCQSiRNnyTyd+Q+QVi1sHf46BX8PGs2YsKrY9VALG77TTmVQgICW9hy/8ye/wTuuW4RpGYyRUjBr8VS01gghOFNIKbjwyllc+6FlrP7qGjw34Bf3r6dzfhvX/tYyDFORSCROnsE5QGvN9pf2MzJQZMyE9no65k7i1yJi9xFiby0QcxzhoFI3I63LAEEi8dokwroQLesg6uVoMdp/CaGHQLSQSCROjhIWk7JXY6t6tgz9KwPuBvyKYPtPW9n0/TbcERME1E6ucOntZWavEBiW5JWEACEEZxo7ZXHthy9jz5Yunnt0C+VClXu/sZZps1uZu2QaQggSicTJMTgHuBWfLev24rsBQghmLZ5CbUOWX9HREeLqDyAucDyBtC5Gpm8G4ZBInBA1GYyZEPVynOgABLvAbiGRSJw8gaIxtZhFjX/CugP/yuN3H2LzjybiFQyEgLqOMkt+dx91S0bZWvgXLPNz1DnzEAjOdA0teW66fQVd+/o5tLuXrn39/Ojf1vD7f3UTja21JBKJk2NwDhjsGWXXxkOMcdIW85Z2YDkm/0dI7D5EHGxlPEI2otIfQ6hWEokTJvMIcwnaewYIOUpcQAfrEPYywCCRSJw8gUBWJrH3rovZ8gOBVwIhoGFmkSWf2k/rolGE1Ay5m9g49BUWNfwxtfYMQHAmE0Iwa/EU3nPrlfznX99HuVDl5Sd38MD3nuHmT78TO2WRSCROnME5YPfmQwz2jDKmcUItMy5o51d0eJCo+hPQLsczkKnrkfalgCCROHEKYV2ElrUQD3C0CO2/hIhHQTaQSCRO3shAkR/92xoe/N5G3BIICc1ziyz51F6a5xURUjNGEzNQfYnNQ//MwsY/JmdO4UxnGIrlv7mYPVsO8/APn8d3Ax763rN0zp3EsncvQEpBIpE4MQZnucAP2fHyQdyKz5jOBW00tNTwSzogdn+GDncyHmF0otI3g0iTSJw0owOMDvAHOE64G8K9YDWQSCROzmDPKN/7ysM8etcLuBUfqSTzLm7n0tsHidu3EgvNK2lieqvPsWXoq1zQ8IekjQmc6bI1ad77ieXs397N9pf3M9Q3yuqvPUZbZzOTZ0wgkUicGIOzXHGkws4NB9FaY1oGsxdNwUlbjNHRYSL3QdA+xxEWKnUjQnWSSLwhshZhXYT2XwQijhKPoIOXENZFgCSRSJyYvq5hvvu/H+Txn7yE7wYoQ7L4ilnc+vkbaJ4u2DKsOVx+lFgHvFKsQ46UH8eSNcyv/zSWquFM19bZwk23r+Bf/sdqhnoL7NxwkHu/8QS3fuFGsjUpEonE6zM4y3Xt66f7wABjcrVpZi5sRwgBRMTeGnS4h/EIYxbSuQ6ESSLxxhhgXgQyB/EIRwvBXwepD4KsJZE4k0VhhFf18dwAr+JTGilTHK5QKlTwKj5e1SeOYpQhUUphpy1SGZt8Q5aahhyprI2dtnFSFlJJ3gitoefgAN/++wd46mcbCPwQw1QsvXouv/P562mf3oIQgvn1nybWAV2VtWgd8kqR9jlY+hkpo5kZtR/GEA5nMikFFy2fzbW/tYy7vvYYnhvwxH0v0zm/jZUfvARlKBKJxGszOIvpWLNzw0GKoxXGTJrWROuURsboqJfYfRC0x3GEg0r9JsJoJ5F4M4QxC62mQDzCsXS4AxEdBFlLInEmCIMIt+Lhlj1GB0v0HR6k79AgfYeG6Ds8xGDPCKP9BdyKT+CHhGFEHMbEUYzWGiEFQgikkihDYloGdsqitilPy+QGJkxpon16C5NnT6RxYh3Z2jSWbfJ6tNYc3tPHt/7mfp57dAthEGFaBpddewG//d+uo3VKE0LwSxlzEvPrP0Ooq/RWnkUT80pBXGb36PdJG820Z69FCoMzmZ2yuO7Dl7FnSxfPr9lKabTKvd9Yy9RZrcy5aCpCCBKJxKszOItVKx471h8gDCKEFMxcNJlsTRrQxN5TxMF2xiOM6Uj7nYBBIvGmyDqEtRgdbAJijhIPoYOXEOYCQJBIvFXCIMKr+nhVn+Jwmd6Dg/QeHODIvn56DvTTe3CQwmARt+LjVX0CP+TN6DkwwPZ1exFCYKcsMjUpmtsa6FzQTucFk5mxaAoTJjeQzqeRUvBKWmv27+jmm399Py+u3UYUxli2yZU3LuKjn7uOlkn1IHgFQc6awvz6zxDEZYbcjWg0r+RGg2wb/gYpo5mm1FIEgjNZw4QabrptBV17+zm8t4/De/pY/bU1/N5f3kRDSw2JROLVGZzFhvsK7Nt6hDGpjM2sRVMwTAXxMLH7EOgyxxEmynk3wmgjkXjThAXmEhB3gS5yFO2D/yKkVoHIkUicMhrCMMJ3A3zXx634DPeN0nd4iIGuYQa6h+k/PETf4SFG+gtUSx5u1SPwQ9AcR0iB5ZjYjoXlmGTyKXJ1GbI1aZyMjeWYKEMxJvBC3IpHpVhldKBIcaSCW/ZwKx6BF+JWPNyKx2D3CNvW7cF2LGoaskyb386Cy2Yw75LpTOqcQLY2jQB2bz7MN778UzY+s5s4irFTFu98/xI+9Nl309hay/gEtfYsFtR/hpcG/oaCv4djFYODbBn6dy5sqqfGms6ZTAjB7Aun8pu3XsG3/uZnlItVXnpiBw9+71luun0FtmOSSCTGZ3AW27+jh+H+ImPqmvJMmzORMXGwBR1sYDxCTUY61wAGicSpIMy5aDUJwu0cSwdbEdERMGaRSJyMOIrxvQDfDfDdgNJIhaHeUYZ6RxnqHWGoZ5Sh3lGGekcZ7itQKVbxqj5eNSAKI8YjpcBKWzhpm0xNiqaJdTS3NdDc3kBzez1NE+uoa64hU5PCtAwM00AZEqkkQgjGxHFMFMZEYUTghVSKLgNHhug5OMiRvb0c2N5N155eRgaKVIsuXtWn7/AQfYeHeHHNFmoasnTMb+fCq+bSOKmee7/1JNte3Ecca1IZm5W/tYybP3MNdU05XotA0ugsZm7dJ9kw+L+phn0cTTPobmT78DdZ2Pg5HFXPmcwwFVe95yL2bO7ikbuex6v6PPhfT9M5bxKXvHMeQgoSicTxDM5SURSze/NhqmWXMVNnTaCuKQfaI/YeRcfDHE8h7asQahqJxCkjGxHWInS4A9AcJe5H++sRxkxAkEj8koYwjAj8kMAL8N2AcqHK6ECRkf4iQ32jDPWMMtQ7wlDvKEO9o5RGKvhugO8G+F5AHMW8Gqkklm1ipyzSeYemSfVMmNxIy5RGJkxuoGVKI42tdaSyDk7KwnJMhBS8EQ2t0D5zAmOiMKJScikMljiw/Qg7Xz7ArvX7Obijm9GBIr4XMNg9wmD3COuf2IadsqlUA7SQpPIpbvjYO1h1+zupqc9wIoRQTMwspxL2sm34PwjiEq+kiThSeZx8YRozaz+CEg6vJYwrBHERx2hCIHmr5WrTvPeTy9m/s5ud6w8w2Ftg9VfXMGlaE+3TW0gkEsczOEtVii57Nh8mjjVKSTrnt5HKOOhoN7H3FBBzLCEbkM41IGwSiVNGOGAuAfFT0GWOol0I1oG+EUSaxLlPa00YRIR+SOCHBH6IW/YYHSwxOlBkpL/AyECRwlCJ0YEiIwNFhvsKlEYq+F5A4AX4bkAYRqB5VVJJLNvEckwsxyRXl6FpUj1NbfU0TayjobWW5rZ6GifWka1J46RtLMdESMHpogxFrjZDrjbDpM4WLll5AeVCld5Dg2x9bg+bntrBzvUHGOweJvBCAi/kl4QgZaSpb8wSeD5xnEZKwYlQwmZa/j1Uw172Fu4i0j6vFMZV9hR+RM6ayqTM1Qgkx9I6ohDsY2/hHtJGMzNrPgqCt8XkGRO46bYV/Ouf38VwX4EdLx/g3v98gls/fwOZfIpEInE0g7PUUO8oh3b3Miadc5g+rw0pNVH1aXR0iPEIazHSmE0icaoJcwFatUC4l2PpYCMi6gGjg8TZS2tNGESEfkQQhIR+iO8GlEYqFIZKFIZKFIbKFIZLFIdKjA6VKA6VGR0sUhyu4Ls+gRfiewGhHxLHmtcihMC0DSzHxHJMUhmb2uY89S011LfUUj+hhvqWGupbaqhvqSFXl8FOW9gpC9MyEELwdlOGIl+fJV+fZfqCyVy16mIe+M5T/PCfH6YyUoY4Bq1BawaPDPHtv7yHp+97iRUfuISl1yygvqUGIQWvx5J5ZtZ+lErYw5HyWjQxr1QNB9gx/C2yRju19kx+TeNFIxwuP8rewj0U/X3Mq/80QijeLlIKllw1h5U3X8LdX38c3wtY+5OX6ZzXxrtvvhhlKBKJxK8ZnKX2be9mdKjEmPqWGtqnt6DjUWLvCdAexxFppPNOkHkSiVNOtSDMC9DhXo4T9aKDTQijg8SZJYpioiAiDELCICL0IwI/pFKsUhqtUBqpUBopUxypUBqtUBqpUBwuUxguURwqUxwp41cDAj8k8ENCPyQMIrTWvB6pJJZtYNompmXgpG3yDVlqG3PUNeepb6mhfkIN9S211LfUUNOYw0lbWI6JZZsYpgGCs0YYRmx4eheP3L0O148Qjk1dfYbp8yZycFsX/V3DVEouG5/cwa71B1h79wu868PvYMk755GryyCE4LWkjRbm1H2cStjNsLcD0PyaZtjbzo6Rb7Go8Y+xVT2R9hh0N7Fn9If0Vp8liMsYMk3KaOTt5qQtfuOjl7F3axcvPL6N0miFH9+xlqmzW5m9eCpCkEgk/n8GZ6EwiNiz+TBuxWfMtNmt1DRk0eF6dLCZ8QijA2ldAggSiVNOpMBaAu6DoF2OoqsQrANnJQiHxKmntSYKY6IwIgpjojAiDCKiMMJ3AypFl3KxSqVQpVyoUilWKReqVApVyoUqpdEKxZEKpZEy5UIVvxoQBiFhEBEGIYEfEUURaE6IMiSGaWBaBqZtYNkm2boMtY05apty1DbmqW3MUduUo6YpT21jjnx9FjtlYlomlmNiWgZCCs4Fvhfwi/vWc+c/PEDv4SHQ0DSxjg//Xyu5bOUCuvf389RPX+KZBzbQva+Pasnl5Se2sWv9ARYtn8N1v30F85ZNx0nbvDpBrT2bWbW/w/qBv8ONBnglTcSRyhPUFmfRmr6cQ6WH2F+8n2rYg0YzRgkbRzVyJmhsreWm21fQta+frn39HN7Ty+qvruEz/2sVDS01JBKJ/8PgLFQpuuzZ2oXWGsNUdM5vw0lJovJT6HiI4ymkfTlCTiCROD0EwlyEls0QHeRoGu2vR8T9oNpJHE9rTRxpoigiDmOiKCYKI+IoJgpjojDCcwOqJZdqyaVScqmWXKolj0rJpVpyqRZdqmWXStGlUnSpFKuUC1XcskcYRIRhRBREhEFEFEaEYYSONSdDGRLDNDAtA8MyMC2DdM4hX58lV58hX5clX58lX58hX58lX58h35Clpj6Hk7ExbRPLNjBtA2Uozgde1WfNPev4r398mIHuERDQ0l7Pxz53HVfcsAjLNsnXZ+mY185Vqy5m7T0v8ORPXqLnQD+l0QpP/fQltr+whyveu4SVH72c9pmtKCUZj0DSmrmCgr+XHSPfJtIurxTGFXaOfJcDxZ9RDA4Qa59XUsLGUY2cCYQQzLloGr956xV8629/RqXo8uLa7Tz0/WdZddsKbMckkUiAwVloqK/AkX39jElnHTrmTgI9iPafAiKOJWQd0r4chEkicdqoiQhzLjo6yHGiI+hgK0K1c67RWhOHMVEUE0UxcRQThRFxFBOFMVEYEQYRnhtQLblUSy7VsofvBrgVj2rJpVpyqZY93LKHW/aoVjy8sodb8alWPNyyR+CFRGFEFMZEYUQURkRhTBRGRFHMGyGkwDAUylQYpsI0DQxLYaUsMrkU2do0mXyKbG2GfF2GfH2WbF2GfF2GfH2WXH2GVMbBtA1My8AwDUxLIZUkAdWyx8M/fI4f/PPPGe4vIoRg4rRGbvlv17Ps3fMxLYNfMW2DjvnttM9o5fIbLuSRHzzDU/e9zGDPCAPdI/zk64+x6emd3PiJq7nshsXkajOMxxAOnTWrKAR76SqtQRPzSm40gBsNMB5L1WDKDGcKw1Rc9Z6L2LO5i0fvegGv6vPAfz1D57w2Ll4xFyEFicT5zuAsdGBnN4WRMmPqm/NMmtqEDtYRh3sZjzDnIozZJBKnlciAtQS8NaB9jqJLEKwD+2oQFmcEDVEcE4cRURgTRTFxFBOFMXEUEUUxYRDhuwG+G1AtubgVH9/1qZY9qiUX3w2olFzckodb9XArPm7Fwyt7uBWfasXDLXuEfkQcx0RhRBTGRGFEHMVEUUwUxsRRhNa8KVJJlCFRhsIwFMpUGIZCmQrLNsnWpknnUqSzNul8ilxthkxNikxNmmxNmmxNmlxtmmxtGidjY5gGhqkwTIVhGhimQipJ4sRUii73f+cp7vr3xxgdLCGEYPKMFn7n8zew5Oo5GIZiPKZtMGPxVNpntbLsukX87JtreemxrZQLVXZvOMjX/8eP2PzsLn7zkyvomN+GMhTHclQDs2pvoegfYNTfxYlyVCNK2pxJ8nUZ3vfJq9i/o5udGw8y2DPK6q8+yqRpTbR1NpNInO8MzjJRGLNv2xHcis+YyTMnkKs1iP1nIS5wHGEh7csRspZE4vQSCHMxWjZA1M3RNNp/GREPgZrAqaI1xFFEFMZEYUQUxkRhRBRGBH5Etezilj2qZQ+37FEtu1RLHm7Zw614VMsebtmjWvbwKh5uxceteHgVH7fi4XsBURgTxzFRGBOHMXEcE4URURgTRzFRHIPmTRNCIJVEGRJlKJSSSCVRhkQZCtMycDI26axDKuuQyjqksg7prE0q65DOOqRyDqmMQzrnkMmnSOdSpHMOpmVgWAplKJShMEyFYSqUUiBInGKl0Qr3/ucvuPcbaymOVBBC0DF3Ird+4QYWXT4LpSSvx0nbLLpyDh3z23nmZ+u5/xuPs3fLYUqjFR79wbPsWn+AGz9xNVe+dwm5ugxHE+TMdppSiyn4e9FEnIiU0YgSNmeayTNbuOn2Ffzbn9/FcH+R7S8f4CfffIJb/vv1ZHIpEonzmcFZplJy2bftCDrWKCWZNmcijlMgHF0HaI4lZDPSuhSQJBKnnZqMMGaho26OEx1EhzsQagKvRseaMIwI/ZAwiAiDiCiM8Ko+5UKV0miF8miVcqFCpeBSKblUSy6Vkku15FItuVRLHtWSS6VYxXMDojAiimLiMCYKI6IwJopi4ihGa82pIJVEKYlUEmVIpJIopVCGRCqJYSrstI2TtkhlbJy0jZOxcdI2TsYmlbaxUiaWY5LKOqSyDk7awnYsnIxNOuvgZGwMy8AwJMpQKEOiDIUyFMqQCCFIvP0KQ2Xu+vfHuP/OpygXqwgpmLlwMh//wo3Mv7gDqSQnSgioacjy7g9fxuyLpvHTOx7jF/e+SGG4xP6tXXzjf97FrvX7ef9n3kXbjFakFGgdUQj2srdwD4dLj6CJOTECRzUihcWZRkrJ0qvnsvvmw/z4P9biewGP3/sSnfPbuGbVxShDkkicrwzOMqODJQ7v7WNMKuvQMWciRFvQ0UHGI8wLEMZkEom3hMyBtQS8J4GQX9EaQq9EOPQCobWQ0AfP9SmNVCgOlymNVCgMlRgZKFIYKlEaqVAerVAarVAuVKmWPUI/JAwiwjAiCiLCICKOIrTmDRNSoJREGQqpJEpJlCGRSqKUQhoSyzKwHBM7bZPK2tiOhZ22SGUdbMfEydikcynslIWTtnAyNk7axklbOGkbJ2NjpywMUyGVRBkKpSTKkEglUYZCKYmQgsTZbbi/yA/+5ec8/IPnqJY9pJTMXTKVW79wI7MvnIqUgjdCKsnUuZP4+F+sYv6lM/jJ19ewa/0ByoUqP//eMxzc0c1Nf7CS+csn0h//gr2Fexj1d6F1xImSwsRRjQgkZyInbXH9R9/Bvq1HWPf4NoojFX78H2uZOrOVmYumIASJxHnJ4CxzcFcPo0NlxtQ2ZmnrqCX274K4yHGEjbQvAZElkTiddKzxvYDAC/CLM6n2NjE6WGZk0GJk0GR40GJkwGRkZCfF4r9TGHYpF6oEXkAYRIR+SOCHhEGE1pqTIaVEGRJlKpShMAyJMhTKVNiOiZO2SWUcnKxNKmPjZGxSGRsn45DK2DgZm1Taxs5YOCkbJ2Nhp22clIWdtjBNA6kkUkmUIZFKopREGQqpJFJJpBQkzm9xHPPsw5v4+Y+ep1r2kEqy8LIZ3PqFG5g+rw0hBW9WJp9i+fuXMv2Cydz79TU8ftfzlEYqbHthL//y37/LhR80aP2N5zHrRjlZSlikjEbOZE0Ta1l129V07evjyP4BDu7qYfXX1vCZ/2cVdc15EonzkcFZJI41+3d0Uy17jGnvbCFfWyX21wGaYwnZjDSXAIJE4s3Sscb3Anw3wKv6FIZKDHaPMNA9zMCREQa7hxnuKzDcN0hhoBOvGhH4Et+TBIFEx/x/NLCL16IMhWEqDFNhmAaGqTAsg3TWIVOTIlOTJptPkcmnSOVSpHMO6axDOueQzqVIZR3SOYd01sFKWShDogyFUhJlKJQhUUoiDYWUgkTiVBBCMn9ZJ/OXdrD+qZ0sfMdMbv38DUyd3YoQglNFSkn7zFZu/eL76Jjfzt3/+hBde/oY7B7lsa/FTNlex8JbfWqnVRGCE6aEjaOaOJMJIZi3tIMbb7mCO//+ASoll3WPb+PhHz7H+373KizbJJE43xicRdyKx4GdPcRRjJCCKbNacax9RKVDjEeYCxBGG4nEydCxxnN93IpPebRCf9cwvQcH6D88xED3MANHRhjsHqE4Usar+nhVn8AL0VrzawpQvJJSGtOKMW0Dw8phOSaZfIpcXZZ8fYZcXZZ8fYZcXZZcbZpMTYpsTZpMPk0mn8K0DQzTwDAVhqlQpkIZCikFicRJKxbBssA0oVgEx4HhYfA8yOehthaE4EQJAW0dzfzOF27gmYc2ccUNi2jraEYIwemQqUnz7g+/g0kz67nrnx5h/dqd+NWAfT+vo9xrsegTPbReVEQamhNhyDS2quNMZ5iKFe9bwp7Nh3nsxy/iVnzu/87TTJs7iaVXzUFIQSJxPjE4i5QLVQ7t7mWMk7KYMrMB4rUQFzmOsJH2JSCyJBKvJvRDqmWPcqHKYM8IvQcH6dnfT/f+fnoODjDQNUylWMWt+PhugNaaV2NYBpZtYtkGpi3IZPqpqatS1+hT1+hT1+RT1+BT09RBvv0z5OpbcdI2hqUwLQPDNDAsAykFicRpFUVwzz1wwQXQ2Qnf/jY0NsLu3dDYCIOD8OEPQ0cHJ0MIwdRZrbR3tqAMhRCcVoapuGDZPCZOnshP/+MxHrzzSQpDJXrXZ3n6r9u54GO9dKwcxkxHvB5b1WHIFGeDfH2G9/3uVRzY1cOuTYcY6B5h9VfXMGlaE5OmNZFInE8MziI9h4YY7i8yJpNP0d5ho/2XgJhjCdmA/H/Zgw8ou87DwO//79ZXZ96b7IEPnAAAIABJREFU3jsGg0HvhQRBgkWFpEiREiVLK9G0JUpanzg5cbxJNsmJvUnO5uzZFHvXppqtLlkyaZKiSJEiAZIAC3rHYAbTey9vXn/v3vvljBIomAHAAgLgDHB/P309IHC55lhZm1Q8TSySYKx/koGOUfrahhjoGGWkd5xYJEk6kSadyuLYDpejaiqmV8f0Gnj8JnlFuRRW5FFQGqawPExeSS7hwlxy8yw8zv+KJlowDAfddNA0ye+poIQk6MW4XB8LKWFiAt58E7q64OhR0HX41/8aVq2Cn/0MDh2Cujo+LCEEmq5yowghKCzP44t/cT+lNYX88396heHucWb7TQ7/fRnxUYOVX5jEDKd5L161AFWYLBU1y0t59Mm7+PZfPcvMRJRzR7v59Q/28dW/vB9/0IPLdavQWEL6zo+QiCaZU1yRRzhvAml1cTlCawK1EtetyXEkqXiaWCTOSO8EA+0jDHSOMtgxxlD3GLNTMZKxFNl0Fim5hG5omD4Dr99DuCiH4qoCiivzCBfnUlAWprA8j3BRDl6/iek1MDw6qqbyBzKLjK1Fxo8CDvM4U8jMcYS+FlBwuT4WjgPJJEQikEyCbUMgAJoGpgnpNEuJL+Dh3i/dRlFVPj//D7+h9UgX6RmNM78oRkZKuP1JD2rhAEl7FFumWcijFaIKk6VCURW23L2SzjODPPeDN8mmLd54/hj1qyq4+5HNqJqCy3Ur0FgishmL3vYRMmmLOdWNRXjNFmR2hktpKMZGhBLEdWtwbIdELMXMeJT+88P0tAzSc26QvvPDTI9GSMRSZNJZkMyjKAKP38QX9BAqzKG4Mp+S6gKKqwooqc6nqLKA3LwAHr+B6TVQNZUPROhgbITkr8CZZR6ZhewRcD4HSg4u18fC64WdO6GpCXp6IJWCPXsgGoWWFrj/fhzHwbIsDMNg8ZCA4HI0XWXDrmbyikP84j/+hgO/PUkmkeXsrzWMeA2P/DePEqidYDx9mKnUWVL2BI7MIlDwqAUoQmMp8fpN7v/qbXSdG+TYvjZmp+M8+/03qGksZdnaKoTA5brpaSwRiWiKvvMjzNENjaoGP5pyGgeLhYQSQhgbAAXXzUk6kmQ8xdToLL2tg3Sd7qfzzAD9bUPMTMZIxlI4tsPFhCIwvTreoJeCkhDlDcVUNJRQ0VBMeX0x4eIcvD4Pps9A01U+KqGtQKqV4JxlIZk9h7AHQGnG5brhFAU2b4ayMvB44O67oaQE3n0X9u+HXbtg/XpmZmbYu3cvK1eupKGhAV3X+ThJHGbS5/BqJXjUfC5HKILaFeV8/X/5PKHCHF77p3dJRJMc+d15khGHx//Hh9iw8T4SziDjyaOMJQ8Tzfbg04oBwVJTVB7mc9/czVDPBMO9E/SdH+Xp7+zlW//uUcKFQVyum53GEhGZjDHSN8kcb8Cksg6kdZ7LEVodQqvDdXPJpLJEJqP0nx+m42Qf7Sd76T47wPTYLMl4Gsd2uJhuaPiCHvKKQ1Q2llDeUExZbRHl9cUUVeThz/Fi+kwURXBdKPkIfR0y2wJI5nEmkNkTCH0FIHC5bihFgS1b+IM77uD3GhrAcUDTmJOjqjQ3N3Pw4EFaWlrYtm0bpaWlKIrCx8F20vTOPoeq+GgK/ym6ksNlCSgsz+Mr/91nyCvO5bnv7GFmfJYzB9r59n//S574nx5h3R0rCIWWUxN8kJjVj0ctYCkSQrBycx0PPn47P/0/XyYRS3H49Rbqf1XBZ7+2C8PUcbluZhpLxGD3OLHZJHNy8wIUlw0jnUkupSD0dQgRwrW0OY4kMZtkfHCK8yd6aTvaTfuJHkb7JonPJrEtmz8QYHoNArk+iqsLqG0up2p5GVXLSymrKyIY8uPxGSiqwg0jTDA2QfJ5kDHmkWnIHAHvQyD8uFyLgqKAonCBpmk0NzdTXV3NiRMneOmll6itrWXz5s3k5uZyo9kyxWy2m0i6DUPJpT73i2iKjysJhv08/M27CRUG+fl/fJGxgUk6T/Xznf/hlzz+bx9m6yfXYui55Km5LGW6obH7kc10nh3kjeeOkkpkeOmnb1PXXMamO1cghMDlullpLAFSSvo7R0kl0swpq87B72sHmeQSwo9irAWh41p6bMshOhNnoH2ElkOdtBzsoLtlkJmJWdLJDEj+QDc1giE/JTWF1K+qpG51JXUrKyiqzMOf48MwdRB8rIS+CqmWgtXOQtI6g7CHQWvA5VrM/H4/O3bsoLGxkRdeeIGWlhbuuusuiouLyc3NxTRNbgTLiZGyxsg6MToiP8VQc6gOfgZFGFyJx2dy9xe24wt4+fG/f57BzlEG2kfY86sDrNrRSG5+gJtBbp6fR75+J73nR+g408/40AxPf+d1ymuLKKspwOW6WWksAelklv7OMWzLQQhBRZ2OqbeBlCwk1CKE1oRr6bAth9mpKF1nBjh7oIOWQx30tQ0zOxXDytpcoCgKvlwPRRV51K+uYtm6ahrWVlNSXUAg5MMwdRYdpQihr0FaHYBkHnsMmT2F0OoBgcu1mAkhyMvLw+/34/f7OXHiBB6Phx07dlBeXs6NkLTHyTpx5qTtaVqn/wFNCVDuvwdFaFyJbmjc9uB6vAGTH/5vz4GUfObruwmG/dxMapaX8uiTd/Gdv/oXZiZjtBzu4oUf7ecrf/EpfAEPLtfNSGMJSMRSDHSOMsfw6FRUx1HFEFJyCaGvQKiFuBY327KJTMboPjvA2QMdnHm3nd7WQaIzCRzb4QLd1MjND1K1vJTlG2pZvqGW2pXl5BYEMb0GQggWNeEBYxOkXgKZZB6ZhMwR8HwKhBeXa7GTUmJZFgUFBYyPj5NMJrFtm/djyzRzVGEAgquVyA5jyyQXJK0Rzk19B0MJUuTbjkDhSlRNZePuleTmB7GyFk2b6lAUwc1EURW23rOSzjMDPP+DfWQzFnufPUL9qgruengjqqrgct1sNJaA6bFZJoYjzPEFDMqrRpHOLJcQOoq+FoQf1+LjOJLYTJz+9hFO7mvl+Jvn6GsbIjqTwLEd5ggBHp9JuDiH+tVVrN6xjBWb6ympKsCf60PVFJYWgdDXIJUisHuZTyKzJxHOGKjVuFw3I0dm6Jl9ltlMO16tBK9WjE8rxasVoysBVOFBVTwIFN6bJGENYztpLhbL9nJ26u/QlAB5njUIBFeiqAqNG2q4IilhfBxOnYJMBioroakJdJ2lwus3eeCrt9PVMsjxt84zOxXn2e+9TvWyEpatrgSBy3VT0VgCBrrGSESTzAnlq+QX9QIWCwkRQuhrAYFr8UglMgx3j3FyfytHX2+h83Q/s5NRrKzN7wnw+E0Ky8I0ba5jzY7lNG6ooaAsjC/oQQjBkqaWIvRVSLuXS9jDyOxZhFqNy3UzsmSS0cTbjCTeQqCgCBNN8aApfrxqEV6tBL9ehlcrwaeV4tNK0NUcVOFBE16EUJljywwJaxiJw3ySSLqNlqn/zJqCf0Ou0QAIrkoyCS+8AJoGxcXw4oug69DUxFJSVBHmc9/czVDvBCN9k/S0jfDMd/fyzb96hFBBEJfrZqKxyDmOZKBzjFQiw5zyGg2fp5fLEVolQqvC9fGzLZupkQjnDndy9PUWzrx7nvGBaTLpLBeYXoOiijxWbKln9Y5GmjbVUVgexuM1QXDzEH4wNkH6NZBp5pFxyBwB824QJi7XzcZ2kiSsEeZIHGyZxLaTpO1p4tkB/l8CVRioigdN+PBoBXi1EvxaGV6tBJ9Wgq4EiWV7uRyJw0TyOC1Tf8+a/L/Ar1dwVWZmYGgI/viPobAQ+vqgrw+amlhKhBCs2lrPA1+5nZ/93y+TjKc5tKeF+pUVPPwnu9BNDZfrZqGxyKWTGQa6x3EciVAE5VURTE+ESwmEthIhcnF9PKSEZDzFYMcIh149w+Hfnaa/fZhENIWUkjm6oZFXksuydTVs3L2SVdsaKKzIw+M1QXCTEgh9PVIpAHuQ+SQyexzhTIJahst1s0nZU2ScCO9NYss0tp0mQ4SENQycBgSK0FCFB1WYZJ0oVyKxGU28zTklwMq8P8erFfKhqSpYFsRikJsLsRiOpjEzNYVpmvh8PoQQLAW6oXHP5zbTeXaAN184TjKe5sWfvE1dczkb7liOEIJkLM30RJTiijxUTcHlWoo0FrlkLM1Q9zhzTI9GaeUYikhwCeFB6KtAmLhuLMd2mB6f5cw77Rx85SRnD3QwOTKDlbWZoyiCnLwA9Wuq2Lh7JWtvb6K0thBf0IMQgluCWoHQmpD2IJewB5BWK0Itw+W62SSsYWwnydWRODKLI7NkifJ+HJllMPYqhpJDU/hJDDWXDyUUgsZGeOEFyMtjjly2jJ6eHrq6uli9ejW1tbUYhsFSkJsf4JEn76KvfZTOswOMDU7z9Lf3UFqdjxCCF370FtMTUb7114+QE/bjci1FGovc1PgsU6MR5nh9NmUVU4DNQkIJoejNuG6cbNpiqHuMo3vOcuCVk3Se6iMRTSGlZI7pMyivK2LdzhVsuKuZhrXV5OT5UVSFW44SAGMTZPaBzDKPE4XMUTB2gtBxuRYrIQRFRUUUFBTg9/tJJpOYpsl7SVnjODLLjWLLND3R5zHUXBpyv4ym+PnATBMeeABaWyGdhvp6ksEg9sgIoVCII0eO0NXVxZYtW9B1nUwmg8fjwe/3I4RgMapbUcYjT97Jd//6OSJTMc4e7uYf//0LRGcStBztpqA4xMxElJywH5drKdJY5IZ7JkjE0szJDVvkFQxzOUKrA7UU13UmIRFP0XW6n3dfOs6RPWcZ6h4jm7aYoygKocIgTRvr2HLfatbsbKKoPA/d1Li1KQhjA1KEQY4xn4PMHkXIaRBFuFyLlbQllYFK8vLzkGFJZDxCOBTmveR51tAUfpKENUzSGiFhjZBxIthOElumcKTFtWY5cToiv0BXcqjJ+SyqMPnAcnNhyxZ+TwiURIJ4PM7w8DDFxcWoqsqZM2doaWlBSomu6zz00EMUFRWxGCmqwvZ7V9N5ZoAXfvQW2YzFO6+cRkoJEqIzCfo7xqhaVoLLtRRpLGJSSgZ7xkklM8wprczg86e4lEBoKxEiB9f1IaUkOh3n3OFO9j9/lBP7WpkajeDYDnN0U6O0ppCNu1ey5b41NKypIhDyIYTA9f9Ra0BbBpkxLmH1gNUBRhEu12KlqAoKCqd/dxpVU6lZW4Nu6LyXsNlM2FyBLbPYMoXlJEjbUyStEeLZIRLWEElrlIQ1RNqexnaSWDKFIzN8FBl7hraZf0RXglQEPoEiND4wIbjA5/OxY8cO+vr6OHnyJB6Ph6GhIQoLC9m5cyfnz5/HcRwWM8Ors3JzHXueOUxkykI6kguSiTQ9bcNs/8RqFEXgci01GotYOpllsHscx3YQAkorxjA9aS4hfCj6ChAarmtLOpLp8VlO7Gtl//NHaDnYwexUHCklQoA/x0vdqkq2fWotm+5eRVltIbqp47oMJQdhbERmDgA28zgRZOYowtgKqLhci5GiKlSurKT1rVZMn0lZUxlCCN6fQBUGqjAwlBx8Wglhs5k5jsxiyxSWkyTrREhYI8SzQySsIZLWKAlriKQ1TtqewJEWH4btJJhKn6bUvwtFBLhahmFQX19PSUkJ4+PjdHV1UVhYSGFhIY7j4PV6WawS0RRvv3yKZ7//BtGZBAs5tkNv2zCpeBpf0IPLtdRoLGLJeJqh7nHmGCaUVSVRVZuFhBJCaMtxXTuOI5kejXBk71neeOYQ5491E48mQYJQBKH8IM1bG7jj4U2s3tFIuCgHRVVwvRcVYWxCKiFwJpnPRmaOIpwIKHm4XIuRlJLp4Wl0U2dOZCxCYXUhH4UidBShoytBvBSRYyxjjpQWtkxjySSxTC9Hx/9n4tlBPghF6ITM5dQEP0upfxe64uejEkIQCATwer2UlpZy9uxZ8vLyOHToEHfeeSe5ubksNtKRnHinnV/8zSsM90+C5LL6OkaJRhL4gh5crqVGYxGbnY4xMTzDHI83S2nFDJcjtBpQi3B9dI7tMDE8w+FXT7PvuSOcP95DMpZijqoq5JeF2XBnM7d/ZgPLN9QSCPkQQuD6gLR60GohM8klrHawusHIw+W6NiS2zKIIHYHgo8qmsgy2DtK8q5lMMsPA2QHyyvJQdZVrTQgNTWho+EkpEzgyy/sRKPj0MioDn6IqeD9+vQKByrWkqio7duzgt7/9La+99hq1tbWUlJSwGAlFsGpLHY/92T28+JO36WkdxrJsFpoZjzLcO0FxRR4u11KjsYiN9E2RiKWYE8jNUlAc41ICoa1AiCCuq+c4kqmRGQ69epq9vzpAx8k+Uok0c1RNpbgyn62fWMMdn91EbXMFHr+J6yooYYS+EZk5BjjMI2eQ2WMIYz2g4HJ9NJJIpo+u6MtU+G+nwLMCgcJHoZkaq3avwvSZSEeSSWVQVIXrLWENYzlJrkxgqmFKfDupyXmYsNmMIgyul5KSEh5++GGy2SyGYeDz+ViscsJ+7n1sKys21PDbn7/Lvt8cZ2YihpSSC+KxFD1tw6zd0YgQuFxLisYiNtw7QSqRYU5xaQJfIMslhBehN4HQcX140pFMjUU4/OppXn/6EOePdZOMp5mj6RpldYVs//Q6bn9wI1XLSzG9Bq6PQgNjIyT/CZwI88gsZI6A9zFQcnG5PopYdoQTk9+lL/4Ww4mjbCj4FsXetQgUrpaiKHiDXn5PBa/u5UZIWMPYMsXlaIqXfM96anMepdC7BV0JcL1JKTl37hymaTIxMcHu3bsxTZPFSlUVqpeX8vi/uZ91tzfy6x/u5+zhLjKpLHOsjEVv2zCZdBbTo+NyLSUai1Q2YzHUO4GVtZlTUhHF47FYSCi5KFoTrg9HSkl0Os7xN8/xyk/f4tzhLpKxFHM0XaWsrojbP7ORnQ9tpKKhBN3QcF0bQluOVKvAOc1C0mpF2P2g5OJyXa2ENc7JqX+gL/4WjswykTrL4fG/YUPBNyn1bkYRKkuFIy0S1jCOzHIxRWjkGA1UBx+i3H83Hq0AENwIUkqmp6fx+XyMj4/jOA5LgddvsvWeldQ1l7PnmcO8+s+HGO2fxHEkvW0jxGeTmB4dl2sp0VikUokMw70TzNE0SUl5At1wWEioVaAW4/rg4rNJzh7o4Hc/f5uT+1uJzcSREjRdpbSmkNse3MAdD2+msrEE3dBwXWNKPkJfj8yeASTzOFPI7HGEvhIQuFwfVsqe5tT0j+iO7sGRWeZIJFPpdg6P/y3r879Bpf92FKGyFNgyRTI7zJxUzGCyP4THp1FTtI0670PkiTqwTGwhUVXBYuY4kqmRGVRNJRj2o+kqN5oQgqLyMJ/75m7WbG/gNz9+i8Ovn2NscJqJ4RnyinJwuZYSjUUqEU0x2j/FHNNrUVIR53KE1ogQAVzvL5PK0n6yl5d/sp/Dr54hMhFFSomiKpRWFbDz4Y3s+uxmKpeVopsarutEGGBsguSzIKPMI9OQOQLez4II4HJ9GGl7ljPTP6Nz9rfYMs18kmh2gJHEEcp8m5FoKEJHIFjMbCdJwhoGBGRzOfbCJqZGdPyeIKHco4TDrYRCPkJhH7khH6GQn3DYRyjsJyfHi2Fq+HwmpqlxLWmahqqq6LrOBxWPJPjHv36GsYEpmrc00LylnrpVFYQKczA8OjeSbmis3FRHZUMxa18+zZ5nDjHQNUbj2ipcrqVEY5EaH54hOpNgjtdnUVyW4BLCROiNIExcV2ZbNv3tI+z95QH2PX+EsYEpHNtBKIKCkjBbP7mGe764g/o1lRimjuv6E/pKpFoGVhsLyexZhD0EWiMu1weVdeKcm/kV5yPPYzlJFhIolPo2URu8h8H4u8xm+2kKPYqhBFnMMk4Ey0lQ6N1EWeghhhoyvNJ2jvhMgrGRBBdTVQVdVzEMDd1Q8flMauuK+NK/2kHDsmKuGQkNtQ14/B6KCooQUvBBjPROcPqddsYHp2g52IEvx0txVQFNm+pYubWBZeuqKSgN4fGbCCG47gTkhP3c+9gWmjfWkElnkVIihMDlWio0Fqnh3glS8TRz8gtT5ITSLCREEKE14ro8KSUTQzPsf/4Ir/3yXfpah7CyNkIIQgVBNt2zmnu+sI2mTXV4/CauG0gpROhrkdZ5QDKPM47MnkRoywCBy/V+LCfF+cjztM78M1knzkICQdhsoMBs5sz0zxlLnURX/FT6b8cwgyxugsbwH1Pk3YpHLWLDhnPs29tJIpFhIdt2sG2HVCrLHKVIYdPmWiqr8riW0vE00a4ovnof1ojFtDFNybIShBC8l8hkjECuj1gkQSqeJjaTIDbTR9fpfvb+6gD5JbksW1fNqu2NNG2qo6giD3+uF0VRuJxYJEHHyT6Wb6jBG/BwtVRVoaqxBCklQghcrqVEYxFyHMlI3yTpdJY5xeVxPF6bS6jFCLUC16US0STH3zzHiz94k7MHOkgnM8zxBjys2r6MTz9+B2tuX44/x4vrYyA8YGyC1G9AJphHJiFzBDz3g/Dhcr0XW6bpjP6WM9M/I+1EuRxV8WDJFK2Rp0nbUUBiyyxT6XbCZgOLWVCvIWjUIh1BJJJEOhJd14AM76W0NMRXn9jJrrtWYBga15In4MEb9HLsN8fIK8ujflM9Qgjez+ody/i3P/gG7Sd6OHugg9aj3Yz2TZCYTZKMpRjoSDHQMcrbvzlOqDCHmhXlrNzWQPOWeioaSgiG/Wi6ygWdp/r4+//2F+y4fx2f+fpu8opz+SiEELhcS43GIpRJZRjpn0Q6EiGguDyB6bFZSNGWIZRcXP+/bMai81Q/r/x0P+++dILIZAwpJbqpU7+6kvu+dBvbPrWWcFEOQghcHx+hr0GqxWB1s5DMnkLYY6DV4HJdiSOz9ET3cmrqh6Tsaa7EdtLMZvoByQWWk2Iy3UatvAdF6CxGUkpisSz9fZOcPN7LieO9dHaOEY0muRIhoLwijye+tosdtzWi6ypzbJlmjipMPipVUwmXhIlNxihvKscT8PBBmF6DymUlVC4r4bYHNxIZn6Xr7AAtBzs4e7CDwc4xYjNxMqksY/2TjPVPcuz1swTDfiqWlbBySwPNW+upba4gmOen5WAng52jPPvUa4z2TfLF//rTVDWWIhSBy3Wr0FiEUokMo/1TzDFMm+KyBIoimU9DaI0gvLhASsnE0AyvP32QV376FsM94zi2g6IolNYUcPcXtnPX57dSUlWAoiq4FgG1GKGvRlrdXMIeQVqnEVoNLtflONKiL76fE1PfJ2GN814kDpeSTKXbSDtRvGoei4WUkEykGRqa4fSpPo4f7eH8+RFmpuNYlsN7EUJQXZ3Pnzx5F1u21qNpCnNS9gTdkafRlQA1OY+iKV4+ikwiw2DrINVrq4lORpkZmSG/Ip8Pw/ToFFXmU1SZz6a7VzE7FWOgY5SWgx20HOqg++wAMxNRsmmL6bFZpsdmOXugA3+Ol+KqAhrWVNJ+sg/bsrEtm33PHWZiaJov/eUDrN7RiKarfCiWBZkMCAGmCYrCVZESslmwLFBV0HWwbdA0kBIcBzQNl+ta0ViEYpEkkyMR5pgem+LSBJdQfAitARDc6pKxFMffPMdv/uENzh7sIJ3MIATk5AXYct9qPvX4HTSuq0E3NVyLiPCBvglSvwOZYh6ZgMwRMO8DYeJyXUziMJQ4xPHJ7xLLjnC1otlBYtlhvGoeH7dsxmZ8fJbTp/s5fLCL1pZBpqbiZDIWFxNC4PMZWLZDOpXlAiEE9Q1FfO0bd7F+Qw2qqgCSWLaftunvMxB7FU3xoSl+qoIPoAidq5VOpPGH/TTuaGSse4xULIV0JEIRXA1NV8krziWvOJdV2xqIzyYZ6h6n9UgX5w530n6ih8mRCOlEmuh0nOh0nI6TvQjBH9iWw5l32/m7v/w5j/2Xn2TnQxvxBjx8IKkU7N0Lg4PgOLBhA2zcCIrChzY6Cnv3QiIBhgGrVsHoKOzcCcPDMDQEt98Oqsqilk7D+DjYNoRCkJMDQnBVZmdhagpUFQoKIJ0Gnw9UFWZnIScHVBXX1dFYhEYHp0jEUszxBbIUFCdZSIgQQqvlVmbbDn2tQ/z2x/vZ//wRZsajSCkxPDrNW+q5/4ldrL+zmUCuD9diJBDGOqRSAPYA80lk5gTCGQe1ApfrAonDaPI4xye/w2ymH5BcrbQ9y1S6jUJPMyC40RzHITKTpL19hCOHuzlxrIfhoRmSyQwXEwK8XoOy8jCr11Syak0l77zVzt7XziAlCCFoWlHK176xm9VrKlEUgcQhkm6lZeopxpIHcKSFbadom/kHTDWPEv9OBApXI5AXYNm2Zaiqij/kZ45QBNeCoioEw36Wh/00rq/m3i/tYHJomrZjPbQc6qDtaDejfZPEo0mkI7mYlJKBjhH+4a+eYaR3gs98/S5ChTm8r/Pn4ehReOwxGB+HF1+EhgYIh/lQLAveeguSSdi9G/bvhxdfhFQKioqgqwsmJmDHDlBVFq10Gl56CTo6wOsFx4HHHoOSEj60qSn4yU9A0yCRgOJiiMdh1y4oKICnn4bHHoOCAlxXR2MRGu2fIpXIMKegOIkvkGUhoVWBksetKjod550Xj/PC91+nu2UQ27JRFEFpTRH3/NF27vnCdgrL8xCKwLWIqeUIvRlpD3AJexCZPYdQK3C55kgkE6mzHJ14iul0ByD5KGyZYTLVhpWTRhMebgQpJYl4hv7+SY4f6+Ho4W66u8aIRlM4juRiHo9OUVEOq9ZUsm5DNSuay8nPD2AYGrbt8O7b50mlsqxcVcHXvnEXK5rLURSBIy3Gk4c5N/1tplNnkDhcEM8OcW76KQw1RL5nDSD4sIQiUBWVOYqqcL0IIfAFPPgaS6lsLGXnw5uYGYvQcriLn/7vv2awc5TLiUxG+Ze/f5WxgUm+8F99ioplJQghuKKREcjPh4YGyM+Hl15CJpMQCiGE4AOzLBgbgxUroLYWBgfh1CmYnIRXX4XxcSgrY9GbmICWFvjiF6GwEH74Q2jbTm79AAAgAElEQVRrg5ISPrSWFrAs+PrXYWIC/vZvIZsF24ZwGDo6wHFwXT2NRca2HUb6J8lmLOYUlyXweG3mEwitASH83GqsrE3n6X5+/b09HHz5FLFIgjmBXB+b71nFA396F40batANDdcSIPygb4L0GyAzzCNjkD0C5p0gdFy3Osl0up2jE99mMtWKRHItTKXbydizaJqH68mybMZGZzlxvJcjh7tobRliaiqOZdlcTNNU8gsCrFxVwfoNNaxaXUFRUQ6mR+diTU1llJaFCYV8fO0bd9GwrBghBLZMMRjfQ+vU94hl+wDJfJJIup3u2afJMerRlQBLhenRKa4qIJXMIKXkvaQSaV5/+hDjg9N8+S8fYOW2BlRN5bLy8mBkBAYHYWQEFIW0otB17hzFxcWEw2EUReG9SCmRQqAEg9DVBStWQHc35ORAbi489hi0t0NPD4ueZYFlgWmCpjFHWhaZdBpN01BVlQ8smQRVBU0DwwDbBscBy4JsFqTE9dFoLDLpZIbRvimklCiKpLgsgWE6zCMMhNYAwuCWIWFmIsobzxzipR+9yUDHKI7toGoqdasqefBrd7L9U+sIhvwgcC0ZCsJYj1TywB5hPgeZOYZwpkAtxnUrk8xkejk28RRjyZNIHK6VuDVCJNOPTyviWpNSEo2m6Ooc48ihLo4c7magf5JUKsvFFEUQDHqpayhi46Za1m+oobIqD6/XRAguK78gwOe/uJX6+iJqagsRQpB1YvTMPkd75MekrHEuR6CQazZS4b8XTXhZitqP9TA1GmGOoghUTUXVVDRdRdVVNE3F8Oj4gl7mHNlzhrK6IgrKwlxWUxOcOgW//CVICffdhxMIMHz2LMeOHaO5uZnly5fj8/kQQrBQOp2mr68P6TjUb92K+uKL8LOfga7DvfdCXx8UFEA8DtksCMG1JKVECME1Ew5DTg7s2QMlJTA7i11RwZkzZ4jFYqxatYpwOIyiKFyJbdukUik8NTWoe/fCvn0wNgbFxfze7t1QXAzj47g+Go1FJp3IMDY4xRzDtCkqTSCE5GJCBBBaA7cKO2tz/kQvz377VQ6/eoZkLIUQkFsQ5I6HN3H/E7uoaixFURVcS5BajdAakfYIl7D7wDoPajGuW1c0O8yJye8ynDyCxGEhTfESNupIWOMkrEkkNh9UxokxlW6jxLcBgeBayGZtRkcjnDzey4F3O2g7N8TMTBLHcbiY12tQXhFm3fpqNm6qpaGxhNxcH4oieD+mqXPX7mYURUEISNkTdMz8jO7ZfyHrzHI5QqgUejaxIu9b5HlWI1C4VhxHYls2uqFxPTm2g27q3P3YNvw5Xnw5XnwBD96Ah0DIhz/oxZ/jxZ/rQzc0NF1F01VMn8kVBQLwR38EExNgmpCXx9jAAMlkkrKyMtra2ujq6mLdunVUVVVhGAZzbNtmdHSUEydOEIlE2LhxI6KuDp54AqJRyMkBvx/WrQOPB5qaYNky0DQ+KikhHk3S3jJENmuzYXs9mqZyTQSD8Mgj8M47MDICDz6IVV6Op7eX/v5+XnrpJZqbm1m+fDl+vx8hBBdIKZmdneXMmTPMzs5yx2234X/0UTh1Cvx++PKXYXwcysrA54M774RAANfV01hkorNJpsajzDE9NoUlSS6h5CPUcm56EmanYux77gi//v5eBtpHcByJbmg0bqjhoSfvZtPdq/AFPbiWMCUH9I2QfgewmMeZRWaPIsztgIbr1hO3xjgx+T3642/jSJuFVGHSkHM/K0NfJGGN0xffz0D8HWYz/Uhs3o8jLSbTbVhOEl3xcbWklESjKTraRzl0oJNjR7sZHJwmncpyMV1XKSgMsmp1JRs21rBqdSUFhUF0XeXDUlUFkMSy/bROf4/B2GvYMsXlqMKk1H8nK8JPEjRqAcG1FI+l2PvqGTZuqae8IowQgutBURR23L+e7fevQ9NUFFXhmvB6obKSCwoLCwmFQnR2dlJYWIiqqrzzzjt0dXWxZs0aDMOgpaWFnp4eKioq2LZtG+FwGCEEhEIQCvEHmsbvKQroOh+F40imJ2OcOtLN23vOcfZ4L7fd3cy6LXWgcW0IAdXVUFkJUoKqko5E6OrqwrIsKioqOH/+PJ2dnaxbt47q6moMwyCVStHR0cGpU6cIBAJs3rwZbyAAmzbB+vUgBCgKVFbyB5s34/poNBaZiaEZUvE0c3x+i/zCFAsJrRohgtzMbMuh81Qf//LUqxz63WkS0SRCCMJFudz9hW18+vE7KKkpRFEErqVOQRgbkUoInAnms5GZowgnAko+rltL0p7i1NQP6I29jiOzLKQIndrgPawOfxWfVkBALyPfs4JCz0reHfsPpO0IH8R0uoOUPY2u+PiwLMthYnyW48d6efutNtrODROJJHAcyQVCCPx+k9q6QrZub2DT5jrKK8J4PQYIrprEYSbdyrmppxhLHsCRFpejKwGqgw+xLPRVvFoR14NlOex/vZV332rnK0/sZMWqchRF4ZoToJsa15vf72fHjh3U19dz9OhRJiYmKC0tZWZmhh/+8IcUFRVRUFDArl27KCsrQ1VVricrazMyOM3ht9t59/VWOluHSMTTSAmOI7kuFIULcnJyuPPOOzlz5gwdHR2EQiE8Hg8HDhygra2Nqqoqurq6SKfTbNy4kbq6OgzD4A9UFdf1obHIjA1Ok05mmJNXmMLrt5hPILQ6UHzcrOKzSd769VGe+/YeetuGcGwHTVdpXF/DI392H5t2r8TjN3HdRLQ60OogM8ElrE6wOsHIx3XrSNsRzkz9hK7oK9gyw0KK0Kjy38HavD/BpxVwgYLKbKafrJPgg0pYE0QyPQT1cj6oZDJDf98kB9/t5MC77fT1TpBMZrmYrqsUFuawem0lW7c3sHJlOaGwH1VV+KgcaTGePETL1FPMpFuQOFyOqebTkPslanM/h6HkcL0IIZDAscPdTE/F+VdP7GTrjgYMQ2OpUhSF0tJS7rvvPrq7uzl58iSjo6MkEgnWr19Pc3MzpmlyPSUTGfq6xjnwxjkO7jvPQO8EmbTFxTLpLJGZOIah8f4EXr+BYWh8GEIIgsEgW7dupb6+nmPHjjEyMkJhYSHnz5+nu7ubrVu3snLlSgKBAK4bR2MRcRzJ+NA0mbTFnMKSJKbHZh5hItRaQONm4ziSwY5Rfv39vbzxzCGi03EQECoIcufntvDAE3dSVl+MoghcNxklhDA2IjNHAZt5nBlk5hjC2AiouG5+GSdGy8wvaZ99ActJsZAQKuW+bawveJKAXsrFkvYUA4l3cGSWhfxaERJJ0ppCYnNB1kkwmW6j3L8dgcKVSCmJRlO0tgyx781WThzvZWI8imXZXCCEwO83qa0vZNu2BjZurqO8IozXa3Ct2DLFYGwPrdPfI5btAySXEgT0CpaH/5SKwH2owsv1JASoqoKUku7OUZ76m98xMTbLvZ9eQyDgYSkzDIPGxkbKy8t5++23CQaDNDU1YZom14OUkmgkSduZAd56rYUTh7qYGJvFthwu59iBTkYGp1EUwfsxTJ1HvrKDDdvquRqKolBUVMQ999xDf38/J06cYOXKlaxbt478/HyEELhuLI1FJJPKMjY4hZQSIaCwJIFh2lxMiABCq+Vmk05mOLr3LE//51c4f6wHK2ujagoNa6p59M/uZfO9q/EGPLhuVhrom0D5J3Cmmc+C7BFwvghKCNfNzXKStEWepXXmGbJOgoUECqXeDazP/wY5egULjafOMJPuYiFd8bI673FCRh19sTcZTLxLNDuEI7NIbCZTrWSdOIYSZCHHcZicjHPiWA/797XRcmaASCSJlJILNE2lsDDI2vXVbN1WT/PKckJhP6qqcC1lnSg9s8/SHvkpKWucyxEo5JrLac77FkXebShC53oTikBVFeZICeNjs/z4H/cxOhrhc1/cRkFhkKVMCEEgEKCxsZFoNMr14jgOZ4/38fwvDnL6aA+zMwmklLyXqfEoU+NRPgivz2D3p9fwUWmaRm1tLWVlZcwxTRPXx0NjEUknM4wNTjNHN2wKS5IoimQeJQ+hlnGzkBKmRmd4+cf7+e2P9jE5EkFKiT/Xx+0PbuDhb95DdVMpiqLgurkJvRGpVoMzzULSOo+we0EJ4bp5WTJNx+yLtEz/gowTZSGBoNC7ig353yJk1gGCi1lOisH4ATJOnIVyjGrKfdsI6KUUeFawLPsA/fG36Y/tZzrTyUymh6Q1iWEEucC2HEZHIxw80Mm+N87R2TFKIpHhYh6PTlV1Ptu2L2PbjgaqqgvweHSuh5Q9QfvMT+iZfZasE+VyFKFR4NlEc943CXtWI1C4EYQQqKrCxWLRFL959igT41G+/Pjt1NQVIoTAdWVCCApLclmxpoKZqRidbSMk42kWK9M0cX28NBaRRDzN5EiEOabHprAkyUJCq0aIIDcD23LoONnLr/72ZY68doZ0MoOiCCqWlfLQk7vZ9dnNBMN+XLcIkYcw1iOzpwCHeZwpZOY4Ql8DCFw3H1tm6I6+yqnpH5OyZ7iUIM9sZEP+N8nzLEcgWChmDTGaPAlILiaESrlvKz6tkDmqMAgZdeTq1dQG7mU4eZih+CFi2RFyjRqyWZvBgSneebudt/a10dszTjptcYEQgpwcLyuay7ht53LWbaimsDCIpqlcH5JYto/W6e8zGHsNW6a4HFWYlPl305T3JEG9GhDcKEKAqioslE5bvPVGK5MTUR7/012sXluFqim4Lk8IQUl5mM9+eTu7PrGKE4e6efeNVs4e7yUyk0A6koWWNZex6bZlqKrC+9F0ldplJbhuHhqLyNRohHg0xRyP16agOMl8AqHVgeJjqUtEU7z9m2M883e/o691GMdxML0GG+5q5vN//kka19eg6SquW4jQQd8EyjPgzDKPzED2CMhHQQRx3VwcadEX28fJqX8kaU1wKUHIqGFDwTcp8q5BIFhIIhlJHCNujbKQRw1R5tuKIjQuJoRKQC+hQX+AKv9Oslmb7q4x3ny9lbf2tTE4OEU2a3OBqirk5QdYt66aO+5qonllOTk5XoQQXC8Sh5l0Cy1TTzGePIQjLS5HVwJUBx9iWeireLUibjQhBKoquBzbdjh7aoD/9H+8zB89fhs7dzVhenRcV6aoCgXFudz9wFq23rGctrODvPXaWY4f6GRibBbbcrhgWXM5f/S1XRimhuvWo7GIjA1Ok05mmBPKSxMIZplHmAi1FtBYqqSUTAxO8/z39vK7n7/N7GQMBISLcvjkV3Zy/xO7yC8NIYTAdesR+gqkWg7OLAvJbAvCHgStCdfNQ0qbwcQBTkx9j3h2hMvJ0ctZn/9NSr2bEChcTsaOMpQ4iC3TLJRvNhEy6rgSK+sw1J/hzdfPsX9fG4MD01iWzQWaplJSksvW7Q3s3NVEXX0RPp/B9eZIi/HkQVqmnmImfQ6Jw+V41Hzqc79Ebe7nMJQcPg5CCFRN5UqklPT1TvDD776BpqnsvLMJVVVwvTchBMFcL5t2NLBqfRV9XeMceKOVg/vaGOiZJJ3O4rq1aSwSUkrGBqdJp7LMKSxJYHosLiZEAKHVslTZlsP54z388v96iWOvt5BJZ1FVhbrVlXz+v/gkWz6xGo/PxHULUwoQ+jpkthWQzONMIDMnENpyQOBa+iQOw8ljHJv4NrOZAS7HrxWzLv/rVPi3I4TKlcxkuphIt7KQKkzKfVsx1CAL2bbD8NAMb7zewut7WhgcmMaybC4wDI2y8jC37Wxk5x1NVFXnYxgaN4ItUwzG9tA6/T1i2T5AcilBQK9kefhrVATuRRUePi5CgKoqXIlhaFTXFrLzriYam0pRFMFSpOs6OTk5CCG40Txeg8aV5dQ1lnD3g+s4+k4H7+w9h89vguCGyyQzRMYi5BTmkIwkUQ2VQF4AIQSuG0djkchmbMYGp3FshzkFJUlMj8M8Sh5CLWMpSsXTvPPicX71ty/T1zqE40g8PpPtn17H5//8E9SsKEdRFVy3OOEBYxMkfw0yzjwyBdkjIB8E4ce1tEkk48nTHJt8ikimG5As5FXzWZv3BFWBXShC40ocaTOcOEranmEhv/b/sAcf4HGeh4Hn/+/7tRmUQQcIgAQJAmADe6fYm0iqFxfJcokdO5Zzt5t1srlNNrfP5smTzd0mJ+fivY0dx45txbIly5IlUVQhKbEXsYAkWACCDWzoA2AATPvaezvOQ4mEaIukWEBpfr8ShmVMRyC4xPcVXZ39bN92nA3rD9N8pgvHdrnENHVGjipkydLxzJtfQ2lZHoahcf0UvvKQQgME18rx+znT9zIne39GwuviagSSHGssE/L/kOLgXKTQuZOEEGia4Gp0XbJi9SQ++4V5lJblommSu1GsL4apTKZNnkasO4bMk5hBk9tNNzTKKwooHZ7PguUTiMdsdF3jdvNcj9P7TxPIDBDtjVI1q4qs/CzSbi+dISIZt+m82E2KbvgUDYuj6T6XE/oohMjmrqIg3N7L6z/azJvPbqO3sw8hoKA0l/u/upg1X15EXnGItLRLhD4JpQ0D9xSDKecwwmsHfTRpdzNFd7KJ/eHv0504jkIxmKXlMin/S1SG7kUTJr9L0o/QHj+ArzyuJCgJTiFLL+OS/r447713ijfWHqTpeCuJhMMlpqkzclQhS5ZNYP6CMZSW5aJpkhvl+nFao5spDE4nqA/jWiTcTk5E/pXmvldw/H6uRgqdouAsxuc9TV5gIgLJnSaEQNM0LjFMDd9TeJ6P7ytSCgqz0DTJXUlBtDtK064mCkcUEmmPULusFjNocqdIKcgvyuZOCWQFKBtXxo6f76BqVhX55fkIIUi7vXSGiEQsSWdLLymW5VE0LM6VBEKvBJnB3cL3Fc0NF3nhO2+w+61DJOM2UpNUTRzB5799H7NWTsQKmqSlXUErRhiTUe4pPsRrRzn1CH00aXcrRa/dTF3X9+iMH0ahGMyU2dTmPkF16AF0EeCj9CZP02ufYTBDZlCWMQtdBrBtl+ONrax9tY69752ivz/BJbquMaKigGUralm4aCylZblomuTjcvwBTvf9knCyngl538LUcvjtFP3OWRp7fkjLwDt4KsHVaMKiLHM54/P/gCyjAhAMBUKApkmCQZOascOYc08NdXvPULfvNL6v2PveKVY0TWLSlAruSgLyyvIIZgc5+PZBZj08i8ycTD7VFDgxByvDwrVdfNcHi7TbTGeI6A0P0N8bI8UKehSVxLiCsBDaKEDnbuDYLnWbjvGLZ9Zx4kAznudjBU3mrp7CZ/9oNaNrhyM1SVrah4ggmDMh8RaoOFdQcXD2QWA1iABpd58+5yJ1Xd+nNb4fhc9ghsxgXO7jjM19DENm8FF85dIWP0DS72OwLKOUfGs8rS29vPXGId7ZeISO9j58X5GiaZKSkhwWLR3H8pUTGTGiAF2X3CxJr5uY20rEPklAK6A65yl0mcFgCp+e5DEauv+RjvhelHK5GkNmMSr0CDU5XyagFzGUSCmonTScMeNKmTlnNPkFWRQPy+F4YwsD/QnCnf1s3niMmrGlBAIGt5Pv+biOh+d6GJaBbmjcEAVCCKQmSYOBngE6mjuYsmoKHWc66GjuYPiE4QghSLt9dIaIzos9JOI2Kdkhm5w8m8sJkYHQR3I3GIjEeOeFXbz8jxvpOB9GKUVOYTZrvrKIh76+lPziHBCkpf0WAmFMQcki8M5xJYWyDyH8TtBGkHZ3ibptHAz/Mxdju1DKYzBdBKgJPcCE3M9jyiyuRdKP0B4/gFIeVxKEGM+h93p49aXNHD16Ecd2SRFCkJubwfyFY1i9Zgqjq4sxTZ2bLepewPVjuH6UU5FfENAKqch+ACkMLvGVS0d8Nw3d36c32YDC52oCWiHVuU9RGXoMQ4YYanRdY/HyCei6RAhBytTpI5kwcTh7dp3E9xV7dp1kxapJjJ9Yzs3g2C5O0sV1XFzbw046xKNJBnqjDERi9HdH6e+J0tczwEBPjNziEPf/3iLyh+VyvZRShC+EiffFmbxyMm0n2yiuLCa7IJuPozcS40JrD1WjigkGDO4mZsBkzLwxhIpDFFYUIoQg7fbTGSI6W3tJxm1SCkoSWEGPK8gQQitlKFMKulq6eel/bmDjL3YyEIkhhGDEmFI+90erWfDgDIJZFmlpH0krQxi1KO8cH+K1oJyjCG0EaXePuBvmUPjHnBvYgq9cBtOESWVoJRPzvoSl5XCtepKniNjNXEFBvCeLrTs1jmx7l57uAZTiN4JBg4mTRvDgIzOYOm0kGRkmt4Yi6pzHVXFSkl4Px3t/hKXlMSxzEQKJpxJcGFjP8Z4fMuBcABQfJsgyRjAu7xuUZ61AEwGGKsPQuFxObgbLVtZytP480WiSzo4+Nr97jNE1JViWzsfhuT47Xz/AznUH6O+J0t8bJRqJYycdXNvFdTwc28V1PHzPo2h4Ad/4q8+SUxjiRpkZJmPnjyWnJIec4hykJvk4bMfl9fX1vL7hMIvvGcPDq6dQWpKDEIK7gZVpYWVapISKQqTdGTpDgOf5hFsjuI5HSmFxHMvyuJzQykGEGKp8X3Hm6Hl+/v+sY+/6w9hJB93QmDivhi/8xweonVuNpmukpV0TkQnmTEi+A8rmCmoA7H1gLQNhkjb0Jb1eDvc8y5n+DXjKZjApdCqyljAl/2sE9QKulVIeHfF6kl4/lyhP0HUmlyNv1NDW4OA6LilSCoaPyOeBB6ezeOk48guyEEJwq3jKJupcQCmPS6JOCw0938fUcsk2K2nue4WTvf9KwgtzNQJJrjWO8fnfojg4Fyl07iZCCKbNrGTchDL27z2D5/ns3t7EspUTGTu+lI9DagIzaHBwawOR8AC/S25RNk/+8X3MXT0FTZfcCCEEeaV5XFJaU8rHoZTi4JELvPb2Ido6+vjV2v0cP9nGE4/MYtrkCixTJy3tWugMAXbCoautlxQhFAVFCQzT43JCG4kQGQxFruNycEsjP/vbtTQdaMb3fAKZFosemcnn/2gNZVXFCCFIS7t2AmFMQ8kC8Fq5kkI5BxB+GLRS0oY22+/naO/znOxbh6sSDCaFxvDM+Uwr+AaZegnXw/YH6EocReGR4tkaZ+tKOfpGFZHWLJQSpGRmWsy9p4ZHHptBzZhSdF1yq7l+jAHnAldSRJInOBL+B7KMEbREN+P4/VyNFDpFwdlMyP8WudYEBJK7UV5+JktXTqTh6EViMZv2tghbNx2jsqoI09S5UUIIJs0bw5SF49j26n6UUlxNZijIo0+vZOln5mBYOkOFbXvsrTtDuCdKiuN4HDh8ngstPTy4agr3rZhEYX4WQvCJl4jbnDhykRGji8jJz0QIQdq10xkCkgmHrrZeUkzTp6A4jhBcRkfoFSBMhpr4QILNL+3hxe++TWtzJ0op8opCPPD7S7j/a0vILcwmLe2GaCMQ+jiU18qHeOdR7nGEVkra0OX4MRp7X+J478s4fozBBJJhwZlMK/gDso0yrteA20qv3UyKE9c5ub2Co29VEY9YpAghKC/P47HPzmLJ0gmEcoLcLo4/QNxtZTCFTzhxiO5EPQqfq9FEgPKs5YzL+wZZRgUguFsJIZgxezRjxpVysO4snuezc1sTS1fUUj1mGDfKdTzCbb1ouoaQAuUpBrOCJqu/vJD7v7qYQKbFUGKaGg+tmYrvKzZsaaC3L4ZSio6ufn72q900NLXyuYdnMml8OYah8UmmfMXmdYfoCQ+w5rOzmDSzkkCGSdq10RkCErEk3e19pJgBj4LiBFcQQYRWAQiGkkhXP6/9cBOv/2gTkfAAQgiGV5fw+W/fx8KHZxDIsEhLu2EyG8yZYG8H5XAFvw/s/WAtAHTShh5XJTjR9xrHel/A9gcYTCApDk5meuHT5JqjAMH1UXQlGkh4vdgxg4aNlRx/ZxTJqEmKbmhMmVLBE0/NY9LkEei6xu0Uc1uw/X6uTqFQXI0hsxkVepSanC8S0Iv4JMgvyGLJiloaG1pJxG3aWnrYtrmRkZVFGIbG9XBsl4un2tmxto5tr+3n4sl2fM9nMN3UWfToLB7/3+4lKzeDoUYIwYiyPH7/iwsYP6aUX766jxNnOvA8n2TSZde+0zSfD/PwmqmsWjqBvJxMhOATKRA0KS7LZf3L+zlef54F907k3kdnMGpMCZqukfa76QwBvV0DxAaSpFiWR35RgssJmYnQRjBUKKVoO9vFC3//Jlte3kM8mkTTJeNnVfHUnz7IpPlj0A2NtLSPRyKM6SiRC6qTK/koZz/C7wFZRNrQ4imbM33rOdL9HEkvwmACQUFgLNMLv0W+NQYQXC/XT9CVOEoi7tH4zmgaNozGieukBAIGy1bU8sRT8ygtzUUIwe0WdS7g+XGuR0AvpCbnS4wKPYohs/mkkFIwa241G986zJH687iuz46tjSxZMYHK0cVcC8d2uXCyjW2v7GfH63VcPN2Ba7ukGJaO8hWu45GiaZLZKyfx1J8+QH5JDkNZRtBk2cJxjB5ZyItr69i6q4n+gQRKKVraevnJL3bQ0NTK5x+eydiaYeia5JNGSMHImhICGSbdnf2se/49Du05zb2PzmDhqkkUloQQUpB2dTpDQFdrL3bCJiU7xyYr2+YKshBkIUOB7ytO1Z/jX//v16jbfAzXdjEDBnNXT+ELf/oAI8eWIaQgLe2m0CtBrwG7kw9xz4B7Cswi0oYOX7mcHdjMoe4fE/fCfJgg1xrN9IJvURSoRSC4EXGvh45oE817ymh8ZxROXCfFyvBZ/WANTz25mLy8TO4EpTyizgU8ZXNtBFnGCMblfYPyrBVoIsAnTWFRNktW1HKiqY1kwuHihR62bznOiIoCdF3jt3Fslwsn2tj26n62r62j5XQ7ruOREsgwqZpUwdz7ptKw5xS73jxISu3cGr705w9RUlHA3UBKwehRRfzhVxdTO7aUl16v48y5LnxfEU84bN3VxJlzXTz+wHSWLRhLKDvIJ82IyiJCeRkM9MXxPJ+zJ9p59rsb2LPlOF9y5u4AACAASURBVPd9fjYz5teQmR0g7cN0hoBwW4RkwiElvziBFfC4nNAqEDKTO811PA5uaeBn/30tTQea8X2fzFCQlU/ew+P/+yqKyvJAkJZ288gchDkdZb8HeFzBj6Ds/QhzFqCRducp5XEhuoOD4X8m6rZzNSFzBNMLnmZYcBoCyY3qTZ6hucHj6FtVJAdMUoygy7TVER75/Bjy8jK5U1wVJ+pcABTXQgqd4VmrKM9aiSYsPomkFMy5p5p33j5Mw9GLuI7H9s2NLF42noqRhQzmJF3On2hl6yv72LnuAC2nO3Adj5RApkXVpBEseXw2c+6dTEFZHgdrh9O47zR5JTl85f98hFHjyhFCcDfJzgqwZvlEqiuL+eVr+9i55xSxuI3vK86eD/ODZ7dy7HgLn3lwBlWVRWhS8kkRystk+KhCWs6GuSSZcKjfc4ozTa3MXjSO1Z+dxZiJ5RimTtoHdO4wz/PpauvFdTxSCooSmJbPBwRCrwAR5E5KJmx2vFbHc3/3Oi2nO1BKkV+SwyNPr2DNVxaSnZtJWtrNpyHMGSiZA343V3JRzn6E3wcyj7Q7S+HTEt9LXfif6HdauJoso5RpBd+gLGMOQmjcKKV8zl64yIG1ZQx0ZpKiGT7V888ze00mhbnDuJNcP0bUvcC18pVLW2wbwzLmkx+YDAg+iYqKQyxeNoFTJ9uxky7nz3axc+txyp/MR9MlKU7S4VxTG9te3ceO1+toPdOJ63ikBDItaqaMZMnjs5m1chKFpblITZIyftZo1nx5IWNnVDJ+5miEFNyNNE0yrmYY//7ry5gwppRfv3GAiy29+EoxEE2yYXMDp8508pmHZrBwbg1ZmRafBBmZFiNrhrF3axNKKS5RCvp6Yry79gBH65pZ+sAUVj46k5LyPIQg7X/RucPshENXay8pQioKihMYpsf7hIXQKgCNOyXaF2f9czv41f94m3BbL0IIhtcM48k/uZ8FD07HCpqkpd0yeg3oo8Du5kOcJvCaQeaRducofDri9Rzo+ici9llAMViGXsiU/K8xInMRUuh8HP3RKFvX9tF2IgelQAhF6YROxt97htK8BzFlNndS0guT9Lq5dopIsolj3d9jSuF/Itus5JNI0yRzF9Tw7oYjNDW24jgeWzc1sHDJeIqLsznb2MrWV/ayc90B2s524ToeKcFMi+qpI1n6+GxmrZxEwbBcpCa5XEZ2kM/8u9WYAR2pSe52uTkZPLJmKmNGl/DCq/vYe7CZRMLB831OnOngf/7LJhqaWnnsgelUlOcjpeBupumSUTUlBIIG8ZjNYL6vaLvQw9Y3D1NTO5zislyEEKSBzh2WTDh0tUVIMU2fgqI4QvA+ITIQegV3Sm9nH7/+3kbW/WQLA70xpJTUTBvJV/7zI0xZOBZN10hLu6VEHsKYjrIPAj5XUD0ouw5hTAEkabefQhFONLK/63t0J5sAxWABLY9JeV+hMnsFmjD4ODzPZ9e20+zd2ovvSlJySgeYuOYkOQWKfKsGKQyuh+/7xONxEokEyWQS13XxPA/f99F1HU3TME0Ty7LIyMjAMAx+l6hzAdePcj0UPp2JfTT0/IBJBd8mqBfzSTSsNJdFS8dz5nQnju1y9kwXrz6/CzMaZ9e6g7Sd7cJzPVKCWQFqpo5k2WfmMHPFRPKH5SCl5LcJZll8kui6xqQJwykvy+XNd47w2lv1tHf2oZSirz/B6+vrOXG6g889PJO5MyoJBk3uZhXVxWSGgsRjNoPpusb4aRV87uuLmTJnNFIK0v6Nzh2WiCbp6egjxbQ8CooTXEFmI2QZt5tS0H6ui+e/s47NL+0lEUuiGxpTF43ny3/+MNVTRyKlIC3tlhMGmDMh/iL4Ea6gHLD3QfCzIEOk3W6K3uQp6sLfpytxFIViMEsLUZv3BapD96EJi4/r5Il2XnpxL/19NilWls2EVacprOzF0orJs6r5KL7vE4lEuHDhAkePHuX48eM0NzfT0tJCOBymr68Px3FQSqFpGhkZGeTl5VFcXExFRQXV1dXU1tZSVVVFYWEhgUCADyii7gVcleB6KeXRGt1EQMtnXP43MWWITxpNk9yzcCybNhzl1Ml2bNtl3cv7Uefa8eM2KRnZAcZOr2TJY7OZsbyW/GG5SCn4NBICCvKy+NzDMxlXPYznf72Pg0fPY9surudz7HgL/+8PNrJqSS0Pr5lK2bAchBDcjQqLQ5SU59HVFmGw6tpyvvWfH2TUmBKEEKR9QOcO6+nqJzaQIMUKeOQXJbickGUgQ9xOSinOHW/l2b95lT3r63FsFzNgsODB6XzhTx+kvKoYIQRpabeL0MehtOHgRxhMuQ0I7wLICaTdToqIfZ668Pdpix1A4TOYITMZl/MZxuY8gi6DfFyRSIyXf7WH5jOdpEjNp3LORSqmtyI0RbY5nAy9mN9mYGCAxsZGNm3axPbt2zl8+DBdXV1Eo1F83+daWZZFTk4OI0aMYN68eSxfvpw5c+ZQXFwM0mXAOY9SHjfCU0nO9r+GpRVQnfskmgjySZKI2fRe7CbguqAUCIGNQAYDZOoaY6ePYuln5jBjeS35xTkIKUgD09CZMWUkI8ryeW39Id7ceIRwzwBKQU9vjJfW1XH8VBuff2QWM6aMxDJ17jYZWQFG1ZRwdH8zgw1EYvi+jxCCtCvp3GHhtgjJhENKdo5NVsjmckIfjhBBbhffV5w40MxP/vrX1O84juf6ZGQHufep+Xz2362ioDSXtLTbThYgjGko5xiguIIfRjkHEMZ4QJB2eww4bRwM/4CW2B4UHoPpMsCYnIcYn/s5DJnJx+W5PpvfbWDXzpP4vgIBRVW9jF3WjBF0AUG+WYMpMxmsr6+PXbt28cILL7Bp0yZaWlqwbZsblUwm6ejooKOjg7q6Op577jkmT57M448/zr1r5tMfOMfVCAQgEUIAAoEEBEIIQCCQgEAgOD+wjmxzNKWZixBI7nbxaJKTh86y5dd72bv+MJ3hARhWAJYBUpAxvIAvPDmHpQ/PIL84ByEFaVcSQlBSHOJLn53L+JpSfvnqPo40tuC6Ho7jcfDIBS609HL/ykk8cO9kigqyEEJwubaOCPGEw6gRhQjBkGJaOqNqSjBMHVBUVJXQ0dpLf2+Mtgs97NhwlJHVJeiGRtoHdO6wrtZe7IRDSkFRAsvy+IBEaOUgLG4Hz/Op33acn/y3X3PiQDO+rwgVZPHoN1fwwO8vITsvk7S0O0JYYM6E+CugBriCSoK9D4IPg8gi7daLuZ0c6v4Xzke34SuXwTRhUpW9hol5T2FpIW6GkyfbWftqHbFokpRgToLxK0+TXRwjRZcB8gM1SGFwieM4HDhwgB/84AesW7eOjo4OfN/nZlJK0dPTw5YtW9izZw8//+VY7v9KEQsWryI/rxApDKTQEUJHoiOEjhQaAh0pdITQkegIoSPRkUJHCB2JTlAv4a6mIDYQp3HfGba8spf97xyluz2C7/kgBZZtYwcMlAJX07CKc8krzkFIQdpvF7AM5s+uYtSIAl558yDrNx+jNxJDKUVnuJ9fvLyHxpNtPPHILCaNL8cwNFIGokmee2kP0ViS//AHywllBxlqRtaUMGx4PjPmV3Pv4zN55V93suHX+3Fdj13vHGPJ/VOoqCom7QM6d5Dn+oTbIriOR0pBcQLT8nmfCIA2HJDcao7tsuftep79v17l3PFWlFIUluXxuT9azcon7yGYFSAt7U4SRi1KKwX3BIMp5wjCawO9mrRbK+H1UN/zU870b8RTDoNJYTAqezmT83+PgJbPzTAwkGDtq3WcOxsmReo+o+depHRCJ0IoUiwZIs+s5pJIJMLzzz/Pd7/7XY4fP47nedxq8Xic93YcoqkhmxMPFPMnf/IE42tr0aQOCD4tlIJoX4yGvafZ8tIe6jYfo6ezD+UrhBBk52VSO7ea8QvH8+a7jVy82EMi4bD5nWPMnV9DUXGItN9NCMHwsjy+9oX5jB8zjF++up+mU+14nk/Sdnlv/xnOXejmoVVTWL2slpxQkK27mnh3WyMp79WdYfmi8UghGEpG1Qzj6T+/n3FTRpCRFWDxmsns3XKcnq5+Lp4N896mBspHFqLpkrR/o3MH2UmHcHuEFCEV+UVxDNPjEiGCCK2cWy0Zt9ny670897ev03G+CxCUjS7mi//pIRY8OB0zYJCWdsfJYoQxBeWeBBRX8DtQziGEXgUI0m6NpNfHkZ7nONX3Jp5KMpgUGiMyFzA1//fJ0Iu4GXxfsee9U+zc3oTv+6QUju6lZtE5dMvjkmxzOBl6ESltbW0888wz/OhHP6Knp4ffRQhBMBgkOzub3NxciouLycvLIxAIIKXEtm36+/vp6uqiq6uL/v5++vv78TyPq1FK0R3u4+fPvcCpk8389V//NQsXLkTTND7plFL090Q5uvskm1/ew6Ftx4l09aOUQghBTkE2k+aPYfFjs5g8fyzBrAADSvDi87vxXJ8Tx1vZt+c0q+6bgpSCtI+WETRZOn8coyuKeGldHZu2H6d/IIFSipa2Xn76wk4aTrQyb+ZofrW2jv6BBCmvrz/M5AnDKSkKMZRk5wSZPr+GS8ZOGs7k2ZVsffMwju2yfcNRFq6axLAR+aT9G507yE44hNv7SDEMn/zCJELwAZmN0IZxK8WjSTb8fAcv/P2bhNt6EVJQOWE4X/mLR5ixrBbd0EhLGxJEAMyZkFgHKs4VVALsfRC4D0SQtJvP8aM09L5IU+RVXD/OYAJJacZsphX8AVlGKTdLe3uEta/U0dcXJ8XKthm3tJmsohiXyzUrMWQm7e3t/NVf/RU//elPicViXI0QglAoRHV1NXPmzGH69OmMGzeO8vJyMjIyMAwDTdMQQuD7Pq7rkkgk6O7u5tSpU9TX17Nnzx4OHTpEe3s7juMwmOu67Nq1i29/+9s888wzLFmyBCkln0TKV0TC/dRvP86mX+3h6Hsn6e+JopRCSEFuYYipi8ax9DNzmDC7iqzcDIQQpCxaNp5tmxu5eKGbeMxm84ajzJlbTX5hFmnXRkpB5chCnv7KYsbXlPKrtfs5c64L31fEEw7bdp9g38Fm4gmHSxqaWtmys4nHH5iOpkmGqoysAIvWTObAzpP09cY4e6KdvdubuP/zc5BSkAY6d1Ay4dDT2UeKafnkFya4nJDDQGRzq0T74qz78RZe+v/WEwn3I6Vk3MxKvvpfHqN2bjVSk6SlDR0CYUxGyRLwmrmSQjn1CL8DtJGk3Vyun6Ap8hqNkRdx/CiDCSQlwalML3iaHLMCENwMjuPx7sajHG9sJUVIRcW0NsomdiCE4hJNmOSalcSjCb773e/y7LPPEovFuEQIQSgUwrIsgsEgc+bM4bHHHmPu3LmUlJQQCAS4FuXl5UyaNIkHH3yQSCTC8ePHeeONN3jjjTe4ePEinufR19eHbduk+L7PoUOH+Iu/+Av+8R//kalTpyKE4JPC93y62yPUbTrG1lf20bjvNNG+OEoppBTkl+QyfekEFj82m/EzK8kMZYDgCiNHFTF3QQ2vvLgXz/NpbGhh/74zrFg1ESEEadcuK9Ni9bJaqiqLePG1/ezcc5JozMb3FdGYzeUSSYe33j3KzKmjGD2ykKFKCJg4fSTjp1Xw3uZGkgmHbW8d5p5lEygoCZEGOndQf0+UWH+CFNP0yC1IcDmhD0eIILdCX3iAX39/I2t/tImB3hiaJpmycBy/918epWbKSIQUpKUNOVopwpiI8pr5EK8V5RxBaCNJu3k8leRU/5sc6fkZSa+PwQSCwsAEZhR+izyrGhDcLGdOdbBx/RFs2yUlb5jLmMUXMIIulzNkJiF9JOtef4Mf/vCHRKNRLpeVlcWf/dmfMW/ePPLz86moqCAUCiGE4EZomkZ+fj7z5s1jxowZfP3rX+fixYuEw2H+5m/+ht27d3OJUoq9e/fyzDPP8A//8A8UFBRwt/Ncn86L3exZX8/WV/Zx6vB54gMJUqQmKSrNY+aKiSx6ZBZjpo0iIzvAb2NaOkuWTWDH1uO0tfQSiybZtOEIM2ePJi8/k7Tro2mScdXD+PdfX8b4mlJeeGUv7Z19XE3z+S7WbzrKV78wH8vUGaqyczNYtHoyh/c2ExtIcOpYCwd2nWT5w9MQQvBpp3MHdXf2YScdUoKZLtk5Nh+QCFkOwuJm6+mI8MLfv8nbz+0gPpBANzRmrZzE7/3Fo1SMK0UIQVrakCQywJwJyQ2gklxBRcHeB9YKEBZpH5+vHJr736W++yckvB4+TJBn1TC98FsUBMYjENwsiYTD+rcP03KxhxTT0pm62CF/eJTBgnoBPW0u3/ve9+js7GSwvLw8Fi5cyPx58+DMGdixA5SCceOgshKk5LolElBfj9nezsjMTEZOnUq/YfDSSy+xZ88efN/nEs/zWLduHffeey9f/OIXkVJyPXxfIaXgTnMdj7bmTna/Xc/21/Zz5ugFknGbFE3XKBlRwKyVE1n4yEyqJ1cQyLC4FpVVxcyZV8PaX+/D9xUNRy5ysK6ZJcsnIIQg7frlhIIsmlvN9t0naO/s42pc12fT9uPMm1XFlNrhDFVCCKbOrWLMxHIO7j5FLJpk61uHmbVoLDn5mXza6dxB3e192AmHlLyCJFbA533CAn04ILmZwm29/PzvXmfj87tIxm0My2DBg9P40p89TGllEUII0tKGLoEwpqJkIXgXuZJCOQcRfhi0MtI+Hl95nI9u42D3D4m5nXyYIMesYHrBNykJTkEguZkaG1rYsb0Jz/NJqR5TxOT5FwlrNoOF9Ao2v7mLffv2oZTicrm5ufzhH/4hU6dOhY4OeOUVqK4GpeDll+HLX4aSEq6LUnDwIGzbBjNnQlMTdHSQ9eijPP300zQ0NLB3716UUlzS29vLL37xC9asWUNRUREfRSlFX3+ChqZWkkmXe2ZXYRgad4KddLh4sp0drx9g57oDXDjRhp10SDFMndJRRcy9byoLH5pBxdhSrKDJ9bACBktWTGDX9iY62iNEowk2bTjK9JmV5ORmkHb9HMdj49ZGGk608ru0d/WxbkM9VaOKyMq0GKpyC7JYuHoSjYfOk4jbNNaf59jBs8xbNoFPO507RClFd2cfju2SkleYwLQ8LhEiiNDKuZm6Wnr42X9fy6YXd5NMOFhBk2WfncOT//EBiofnk5Z2V9CGI4zxKO8iH+JdQLkNCK2MtBun8GmN7eFA+J8ZcNq4miyjlGkFf0BpxmwEkpspFrPZ8PZhwl39pGRkmCy7txoz7zDEFZcTSGSigHfWbyEajXI5wzB46qmn+OY3v0lmZiY0NvIbS5aAUnDsGHR3Q0kJ18V14eRJqK6GxYshFILNmxG2zezZs/mv//W/8q1vfYtz585xubq6Ourr61m+fDm/jev5dHb1U1d/ju27TnCsqZVF99Qwd9ZobrdELMnZxha2v7qf3W8dorW5E9fxSDEDBsNrhrHgwencc/80ykeXYFg6N6q6poRZc6t4c+0BfF9xpP489QfPsmDxeIQg7Toopag/doFX3zpIPOHwu/i+Yve+0yyYU8PCudUIIRiKpBTMmF/D+uoSjh8+z0Akzs6Nx5g6p4pgpsWnmc4d4joe3e19+L4iJa8ggWl6vE9mI7RSbpbu9gg/+9u1vPvibuyEQyDD4t6n5vPkH99HXkkOaWl3DZkFxkxIbgHlcAW/H+z9YC4CYZB2/RQ+7fED1IW/T8Q+BygGy9CLmVrwdUZkLkAKjZutsaGFfXtP4/uKlNqJw5k2u4S6ZAuD6TJIsjeDw4ePMFh1dTXf+MY3yM3N5TdME2IxiMXA9yGRwJWScHs7oVCIYDDIR4lGoyQGBsiTEtnbC7YNkQgIAVIipWTp0qU8/vjjfPe738XzPC7p6emhrq6OZcuWIYTgcvGEw7kL3ezae4pde09x9nyYeMIhxTR0NCm4HZSCWH+cpgPNbHtlH/s3HaOrpQfP9UixgiajJw5nwUMzmLNqCsNGFqIbGh9XIGiydEUt7+08QVdnPwP9cTZtOMrU6aPIDgVJu3a243H8VDsZQZOigiwSSZdk0sVxXZTiQyL9cdaur6d2XBkFeZkMVYUlOcxZOo5TjS24jseh907TfKKd8VMr+DTTuUPshENPRx8pmqbIL0yi6YpLhBwGIoubobern+e/8wabXnwPO+EQzLRY9aWFPPHtNeQWhUhLu7tIhDkdJfJBtXMlH2XvR6geEMWkXR+FoitxlP1d36MneRJQDBbU8pmS/1VGZS1DCoObLR6zeXfjUbrDUVKysgKsXDUJI7sPO9bHYKbMItIu6OnpYbD58+czZswY3ldRAQUF8Itf8BujR6OKizl28CBdXV3MmDGDiooKdF1nMNu2OX36NIcOHaKyspIZU6bAyy/Dv/wLRCKwYAEEg6QEg0FWr17Ns88+Szgc5hLHcTh9+jTJZJJAIIBSikh/gsamVrbuaqLu0Dk6w/24rs/lLEtHSsmtpJSivzvK0T0n2frrvRzadpzezj58X4GAjKwAVVMqWPjwTGavnETR8Hw0TXIzjRlXysw5Vbz9xiGUr6g/cI7Dh84zb8EYhCDtGpmGxkOrprBi0XgifXE6w/10hvvp6h6gs2uAznA/XeEB+gcSJJIOSdvl8LELbN99ggdWTUaTkqFI0yWzF49j46t1tJwN093Rx+5NDVTXlmMYGp9WOneInXTp7ugjxTA98goSXE5o5QgR5OMa6I3x0v94m/U/30EybhPIMFn95YU88cf3kVOQTVraXUkbCUYNJNv5EO8suCfALCbteih6kieo6/o+4UQjCsVglhaiNu8pRmevQhMmt8LJk+3s33sGpRQpEyaWM23GKDrdDTh+nMEy9CJ6BySO43A5KSWVlZUEAgHeFwrBE09AczNoGlRW0hOPo2ka+fn5bNu2jdLSUubNm0cikcB1XbKzs3Fdl+3bt9PT00N5eTm2bTNQXU3OV74CbW2Qnw8VFSAll4waNYrMzEzC4TCXi0QixBNJunsT7D94lm27T9J4opW+/gRKKa6m+WyYDZuPYVk6AcvAMnUsy8AydSxLR9c1NCmQUiA1iSYFUkqkFGiaREqBJiVSCgbzPZ+ejj4ObWtk6yv7OLbnFP09UZRSCCHIzstk3MzRLHpkJtMWjye/JAepSW6FYIbJ0hW17Nl1ku7wAH19cTZtPMLkqRVkZQdIuzZCCLIyLbIyLYoLs6kZXUyKUoqk7ZK0XRIJh95InM5wPx2dfbR39RNLOCQSDpkZFu9LJKCrCzwPcnMhFAIhuG5KQV8f9PSArkNREVgW12t4ZSHT51XTdr4bz/PZu/U4Kx+dwfBRhXxa6dwhiViS3vAAKablk1eY5AMCtOEgAnwciViSN36yhTd+upVENIkZMFj++Xl87j+sIacgm7S0u5YMIYwZqORuwOUKfgRl70eYcwGNtGuhiNjnqAt/n/b4IRQ+g5kyi/G5n2dMzkPoMsCtkEy6bN3SSDjcT0pGpsWy5bWEcixOdV/AUzaDhYwRJMwQUkoup5QimUyilEIIwW8IAfn5kJcHQpASAOLxOC0tLVRUVGAYBjt27ODIkSMEAgECgQDLli0jFAphGAbNzc2MHj0aMxiE/HwYMQKEYLBkMonv+wwWT3i8su4gu/efo/lcmETS4aO8t/80dfVnkVIipUDTBFJKpBRoUqJpEtPUsUyNgGVgmjqBgIFl6gQsA9PUCQQMLFMnYOmYpo5p6uhS0nU+TN07Rzh96Bzxvhh4Plg6hqEzYdZoFj48k8nzx5BXlI2ua9iuh+YrpBRIKRGCm2rshDKmz6zknfVHUEpxcP9Zjh25wOx51aR9PEIIApZBwDLIyQ5SUhRibHUJKZ7n47gepqHzvmQS3ngDTp2CYBCUgs99DkpKuG7hMDz7LAQCMDAA1dXw4INgGFwPK2Awb0Ut2zccpTc8wMXmMHXbT1BWUYCUgk8jnTukNzxAIpYkxbQ8cgsSvE9YCK0UkNwox3bZ/NIeXv7eRqJ9cXRTZ9Ejs3jyT+4nryhEWtrdTUOYM1AyB/wwV/JQ9n6EHwGZT9pH63daORD+J1pje1H4DKbLIGNyHmF87mcwZCa3ysUL3ex97xS+r0ipqRnG1Okj8YjTZ58HFJcTSLLN4YiicizL4nJKKQ4fPkwkEiEvL48rCMEloVCIZcuWce7cOfbu3UtBQQH79+9n1apVVFdX09TURE5ODqdPnyYajbJixQrKysrQdZ3fEILBlFLU19cTiUS4nBCC0tJiSopzsaxWrpXr+biez8clBEgpkUIgpUAIgZt08FwPyvOgLBcUCBTK0LmYm8Fbh8+xqakFy9QJWAaWqWMFDCxTJ2AZWKaOZelYpk4gYGCaOpapY1kGlqkTsHQsy0DXJZqUSCmQmkSTAikFUko0KZCaRJOCzEyLpStr2bfnNL09USK9MTZtPErt5BFkZlqk3RqaJtE0yRW6uqCxEZ54AgoL4cc/hhMnoKSE63b4MEgJX/sanD8Pzz0HixdDQQHXq6a2nAnTKtj5zjHspMPOd46xcNVE8oqy+TTSuUO6O/qwky4pWSGHzCyHS4QIIrQybpTv+9S9e5Tnv/MGvZ19SE0yc3ktT/0fD1BYlkfatVFK4fkK3/PxlQIFSikUaUOCX4FyRoPTx4c4ZxH6KTCyuBmEEAjBbwghEPwvQiAEvyGFQEqBEIK7TdTt4GD4nzkf3YGvPAbThEV16H5q876AKbO5VTzPZ897p2hvi5BiWToLF48lPz+LuN9Ov3ORwXQZIGSMIH9EBaWlpbS1tXG5Xbt2sXv3blavXo0Qgt/GMAyqqqooLS0lHA6zdetWcnNzycrKorCwEMMwmDZtGllZWViWxUfp6uri5ZdfZmBggMsFAgGmTpnE6uWTmDG1kq07T/DWu0c4ey6M43r8NrquIQDPV/i+z41SCjzPx2MQXeNyCkgCF9ojXGiP8LtIKZBSokmBlBIpBVIKNE0ipUCTEqkJTEPDNHUCdqTKewAAIABJREFUloFl6liWgWXqWJaOaeoELAPL0glYBq7tYuUH8WMJUIq9B5p5Z9MxqqpLCFg6pmVgGhqalEhNoEmJlAIpJZoUSE0gpUSTAiEEaTfIccB1wbJA10lRjoOdTKLrOpqm8VF838dxHMxYDKFpYBhgGOB54PvciKxQgHtW1HJg1yni0SSnGlo4euAs81dORAg+dXTukJ6OPuyEQ0peQQLT8nmfCCK0YdwIpRSnDp/nub97nfZzYYQUTJhdxZf+7GGGjSwk7QNKKZK2SyLhEIvb9PTG6InEiERiDESTDESTJBIOSdvFdlyUD67ngSJtSPBQznjwsvgQoYO+H6G187EJ0KRESIEUAk2TIECTAiklCDB0DdPQMA0d09QwDR3T1DFMDcvQCQQMMjJMMoMWwaCBoWtoukTXJLquYegaui4RQnA7xb1u6rt/zNmBTfjKYTApDCqzVzAp78sEtFxupZ6eKLt3nsRxPFLKh+czc9ZopBREkx0kvV4GM2QGIWM4GYWFzJ07l0OHDuH7Ppe0t7fzne98h6qqKmpqahBC8LtkZGRgmiZlZWVs3ryZcePGUVdXxxe/+EUKCgq4FvF4nJ/+9Kds3LgRpRSXKy0tZdasWUgpKSkK8dgD05g9fRQbtzTw7rZGWtsieL7P5SxTZ9WyWipHFpJMutiOS9L2sG2XRNLBtl0SCYek7ZJIOti2S9J2SSZdbNtlIBInHkvyGwKUEPyGEAgpQAiUUtwo31f4vofLzSGEQEqBUgo/Qyely7H5/rNbsSwDqQk0KTFNDcs0sCwdyzKwTJ2ApWOZOpZlYFk6lqljGBqWqWOaOgHLwDJ1rICBZeoELAPL1AkEDExDQ9MkUgqklEgp0DSBlBIpBZqUSE2gScmnRn4+ZGfDO+9ASQkMDOCVl1NfX088HmfixInk5uYipWQwpRSxWIyjR48Sj8eZN3Ik5rZtsGULnD8PpaWQnc2NEEIwedZoRtWU0HDwHNH+BDs3HmP6PTVkZFl82ujcAb6v6O7ow3U8UvIKk5iWx/tkAYgcbkTnxW5+/nevc7L+HEopKsaU8uU/f5jRtcMRQvBppZQimXQZiCZp7+zj/MVuWtsjtHf00dYRoTM8QCxuY9sujuvhuj6e55M21FlANVfXDzRwOwkBUkikFEgpkFIgpUDTJJom0TSJoWsEAgYZQZPMDIusTIucUJBQdpCcUJBQdoCcUJCcUAY52QEsy8A0dSxTQ9c1bpak18eR7p9xuv9tPGUzmBQ6FZmLmJL/NTL0Qm61hqMXaT7TSYqmSWbNqaJkWA4p/W4LjoozWFArIKgXENSD3H///bz00kt0dHRwiVKKLVu28Jd/+Zc888wzlJaW8lF0Xeehhx7i7bff5tChQ8ybN4+cnByuheu6vPjii3znO9+hr6+Py0kpWbp0KTU1NVyiaf8/e/AZY+d5GHr+/5S3nDIzZ3ph700iRVKiKFLdkmy5xSVxbhK4YLPO3iTAYhcIAuRLPuRDviwQYIOLTbJ3NwmuHcfOta8Tx7Zsy5LVKImSWERy2HsdcvrMKW95yubIGK80lmVVimV+P8miBZ186bfvYtuWZTz20wPs2Hmc0fEa3nuaglCz9falbL9zOTOc9zjncdZhncc5h3Meax3OefLcMnxxnJefOMBz39/DhdNXcAi8FAglKVSKLFu/kHXbVxIWI3LjSNKcNDOkSU6aGZI0J80MaZKTZoYkNeS5wVqPcw7nPNZ5nHNY53HW4ZzHOodznnfLe4+1ntcIXuOBWiOj1sh4p4QAKSVSCJSSSCmQUqCkRCqBlBIlBVorwlAThYow1MRRQBhq4iggCjVxrAnDgEIcEAaKOAoII00cBUShJgw1UaiJ44Aw1MSRRiuJVBIpBUpKpBQoJZFSIIVAKYmUAiEE16SWFvjc5+D552FoCD71KfKBAYp5zvnz5/nBD37ALbfcwurVqwmCAOccSimcc5w6dYrdu3fTtHz5cvIFCwg/+1k4cADa2uCjH4U45t3q6Glh64NrOD54gTy3HNh1mrMnrrB6wwJuNpoPQZ4Zxq5M4b0HAR1dCUHomCFUP0LEvFP16YR//bsneeWJQZx1tPe08p/+94+zbutyhBTcbLLcMjlZ5/S5UU6cHubUmRFOnx1heGSaWiMjTQ3ee+bMeb94D9Y7rOMdEwKUUgSBItCKIFAUCyHtlSKd7SU62kt0dpTpbC/R3dVCd2cLpVJEHGqiSKO14u3KXJWDE9/i2NS/Y1zCbEIo5hW3srHrDygH/XzQkiTnpZ0nqdVSmtoqRe68cxlBoPB4avkQ1qXMVg4GCGSRpu3bt/Poo4/y9a9/HWstM/I85/HHH+fAgQP09/fzdsybN48vf/nLOOfQWiOE4O2oVqt897vf5dKlS8y2cOFCvvSlL1EqlZgtCBRrVvazeEEn925bwQ8fP8DLe04xXU1QUhBFAa8nhUAqAUryeiYzXDozwsuP7+f5H+zhxP5zNKoJTUoK2jrLrN2ynHs+czvrt6+kvbsVqSTeg3MO5zzWOZzzWOtwzmOdwzmPsw5jHUlqyDJDmhmy1JCkOWlmSNKcLDUkaU6SGdI0J8sMSWJIM0OWG5IkJ8sMSZqTZoY0NVjrsM7jnMNZj3UO5zzOeax1GGvxnnfNe7DWYYHcWN4PUgqUlEgpkEqipEBKgZQSJQVSSpQSBIEmjjRRqInigCjUxFFAGGqiUBNFmjgKiCJNFGqiKCAKNXEUEEWaKAqIQk0UKqIoIAgUUgqUlEgpUEoipUBKiZICqSRSCqQQvC+EgEWLYMEC8B6UIp2Y4MSJEzjnmD9/PqdPn8YYw8mTJ6lWq3R3d7NhwwYOHjxId3c3tVqNI0eOsHDhQkp33gm33w5SghC8F0pJbr97JT/+9itcPDvK2PA0u547yop181BacjPRfAiyJGfsyhRNWjvaOxOk9MwQagBEgXfCGsuz//YKP/3n58nTnEIp4tNffZBtn9yE0oqbgfdQb2RcGZniyPHLHD56icPHhrg4NEGtnmKM49cRQhBoidYKrSVKSZSUCCkQQjDnGuTr4CYBzy8RRZBtgOA98x7veY33Hs9/8B7vweNxzuOcxzmPcw7nPM57nPM46/C8Ne/BGIsxlgY/NwqcuzDGDCkFYaiJQk0hDqi0FenpbqWnq4X+vjb6e9vo72mjrbVAIQ6JYo2SktczrsGRyX/l8MS3yV2N2QSSvsImNnb+L7QG87kaLg9NcmDfWbz3NK1e3c+Spd00OZ9RzS/hccxWDvpRIqKpUqnwR3/0R+zZs4d9+/bxerVajX/8x3/k+eefp7W1lfvuu4/Vq1dTLBb5VZRSKKV4K9ZahoaGeOaZZzh27Bj1ep3BwUFmK5VK/P7v/z5btmxBCMGvUiiEbL5tMauW9/HK3jP88PH9XLg0ThRp3kqjlnLm0AVefOxVXvrJPs4fv0yW5jQpLeka6GDTA2vZ/smNrNq0hHKliBCCGUKAUhKlIEDxXnkPzjmc81jncM7jnMc5h3UeZx3OeYx1ZLkhTQxpZkjSnDQzZJkhTQ21WsLTPzvEwcELeEBpxbr18+nqaSXNDEmak6WGJM3JMkOSGUxusc7jnMM5j7UO5zzWeZxzOOtx3uE975pzHucs7xcpBVIIpJJIKVBSIqVAKYmUAikFSkqCQBEGijgOCENNHAVEoSaOA8JQE0cBUaSJo4AwUEShJooCokgTRwFhqIkjTRRp4iggigLaWmKiKOAtScmMtrY2HnjgAfbv38+JEyeYP38+g4ODSCm56667OHDgAE2LFi1i//799Pf3s337djo6OniNUrxfBhZ1cusdS7h0bgxrLK88e5RHPreZ7v4KNxPNhyBPDRPD0zSFoaPSmfL/0wjVDyLg7fLec+jlk3znv/yEqbEqSku2fWIjj375XuJiyI0uSXMuD0+x/+AFdu09w+HjQ4yP10jSHO95U0pJ4jigEAW0tRbo7Wmlp6uF9kqJSluRlnJMSzmiEAdEUUAQKLSSzLkGZTtx0/8H+GlmE+FdiJbfAVHmvXLeY60H77HO45zHe4+1DmsdWW7IMkuWG7LMkuWGLDNkmaGR5NTqGfVGRr2eUm9k1OsZtUZGvZ6S5ZY8t+TGYnKLsY4345wnSXKSJGdyqsHQlSkOHxuiKdCKOA4oxAEd7SUG+ir097Yx0F9hXn87vd0tFIqSC9njHJz6BpmbZjaBoLtwC5s7/5BKtBQQfNC89wzuP8+VK9M0haFm8x1LKbfENBmXUDVDzKZEQFn3IYVmxqZNm/izP/sz/vRP/5Rz584xo9Fo8I1vfIOmIAhYtGgRDz30EI888ggbN26kq6uLUqmEEIJfJ8syJicnOXHiBE8//TSPPfYYe/bsYXp6Gu89s0VRxBe+8AW++tWvEscxv44AWsox929fyfq189h38AK93a3M5p1narzG4ZdPsOMHe9j7zGFGL41jjaMpiDQDS3q486Pr2faJjSxeO4+4GHE1CAFKSZSCAMW75b2ns1jg/KHLVKsJUloWd7bxld+/nyBQWOdwzmOdxzmHNY40M6SpIc1y0tSQZIY0NaRpTpoZ0jQnzQx5bkkzQ5oa0syQJDlpZkjTnDQzJGlOmhry3OKcxzmHdR7nHNZ6nPM457DO45zDOc+75ZzH4cE63g9CCKQUSClQUiKlQCmJlAIlJVIKlJK0tsT8wZfvZcumJbxdQghaWlrYunUry5Yt4+LFi+zevZtt27axevVqenp6CMOQLMt44IEHGBgYQCnFByEuhGy5bzU7fjpIdbLB2ZNXGNx9hvs+XkEIbhqaD0GjnjI1UaMpCC2VjpRfEDHIft6J0aEJvv1ffsy540MIIVi5cQm/9b9+jEpXCzcqax3jE3X2H7rAy3tOs//gea4MT5OkOW8mDDXlYkRXZ5nFC7tYsqiT+f3t9Pa00V4pUogDoigg0BIhBHOuI/YW3HgJzHl+iRpEtiegF/Jh8t5jnccah7EOax3WOoy1JIlhutpgcipharrB5FSDyekGExN1xsZrjI7XmJxqkKY5aW7IMoMxjtlyY8mrlulqwpWRaQ4fG0IICANNoRDS2hLT1R3gWw8SdXTS2hXR0lknKmYEkUEFjo5oJZs6/zMd8SoEgquh0cjZu/cMaZrT1NXVwq3rFyCEoCl3dermMrMpGVMK+ng9rTWf+cxnqNVq/MVf/AXnzp3De8/r5XnO8ePHOXnyJN/85jdZuHAh69evZ/Xq1SxevJi+vj7a29uJ4xgpJVmWMT09zcjICOfOneP48ePs37+fI0eOMDw8TJZl/CpxHPP5z3+eP//zP6e3t5d3QghBZ0eZ+7evBAQzTG4ZuTjOq88e5vnv7+HQKyeZHq/hvQcBhXLMkrXz2PaJjWx5ZD39S7oJQs31SAjBbZsXs+aWebz84gmc8+x6+SQf++QGVq+dx3vhvcc5j7UO5zzWOZzzWOdx1uGcxzpHnluy3JBlliTJSTNDkuZkmSFJctLMkKQ5WWZJ0pw0M6RJTpoZ0syQZYYkzUlTQ5LmZLnFWodzHmcd1nmcczjncc5jrcM5j3WOd8t7j7UeayHH8qvUGxnGON4NKSW9vb10dHTw6quvcurUKRYsWMCOHTvYunUry5cvRwjBB231hgUsXdnHvpdP0ailvPT0Ybbct5piOeJmofkQTI5WyRo5TWHkaGtPmSFEjFQDvF1ZkvPjrz3HnqcO4Z2na6CdL/xvH2Ph6gFuRGlqOH9xnJ27T/LCSyc5eWaYWj3Fe95ASkGxENLT1cqq5b2sWdnP0sXd9PW2Ui7FxJFGCMGcG4DsRoS34c1RwPMGbhif70XoFYDgwyKEQCuBVpKIN9PO6znnyY0lywxZZqg3MsYn6oyOVRkZq3JleJrLI1NcGZ5mfKJGI8lJkpwsN3jPL3gPaWZIM8PEZJ2z5/kPnUjVThAZwkJOub1Oa3eVjh7LHcsfouYHmGirUyiERKFGCMEHaWR4iqOHLzFj1Zp++vorzKjbETJbZTYtCpR1H7PFcczv/d7v0drayl/+5V+yf/9+rLXM5pxjYmKCiYkJ9u3bh1KKQqFAHMeEYYiUEiEEzjmMMaRpSqPRIMsyvPf8Ou3t7XzpS1/iT/7kT5g3bx7vlhCCprSRcf74ZXb+6FVeeGwv544NkdRSmoQUtHW2sPr2pdz9qU3cdu9qOvoqKCW53lXaizzw8C0M7j9PvZYyfHmKp584yNLlvYSh5t0SQqCUQCnJ+8F7cM7hnMc6h3Me5xzWepzzOOew1mOsJcsMaWZIUkOWGpI0J80MWWZI0pw0MyRJTpZbkiQnywxJmpNmhiTJyTJDmhnSzJCmBmMdzjqc81jncM5jrcM5j3UOZz3WOWYTAqQUvBdBELBt2za+//3v881vfpPe3l7a29sRQnA1VDpK3H7vKg7tPUueWwZ3neHcySusWr+Am4XmQzAxMk2WGZpKLTmFkuEXZAuobt4O7z17nznMj772LGkjIyqEfOyL97Dp/rVIKbiR1OopR45d5qnnj7Br7xkuD0+R55bXk0JQLkcsnN/J+nXzWbdqgGWLu2mvFImiACGYcyMSMQS3g/h38HXewCeQ7YL4kyCKXC+kFEShJgo1TZ3AgnkdzDDGkWY5SWqoVhOGR6YZujLFxcsTXBqa5NLlSUbHazQaGY0kwxjH6zkrSeshaT1kerTEpePdKAX740uUSt+lp6uF+QPtzB9oZ/5AOwN9FToqJQqFkDjSKCV5vxw5fInR0SpNYai5df0CCoWAGbV8COMTZiuodiJV4c3EccxnP/tZli5dyl/91V/x2GOPMT4+zlux1lKtVqlWq7wXQRCwdu1a/viP/5jf+q3folKp8G5576lO1jm29wzPf38Pu586yJXzY5jM0KQDRddAOxvvW8O2T25i1abFtLSXEEJwoxBCsOn2JaxaM8CeV05hreOF547x4CO3sGJVP9cKIUApiVIQoHivPOCdxzqHcx5rHc55rHUY48hyQ5YZ0sxQb2RUqwkTkw2GR6cZHasyPFpldKzK6HiNej3DZR7vPa9nrKOR5LxXy5cv5ytf+Qr1ep329naKxSJXi1SSTdtW8Nh/f5lLZ0cZG57mleeOsnztPJSW3Aw0H4LxkWnyNKep0pESho4ZQvaCKPF2XDk/xnf/5nFGLk4gpOC2+9bwsS/eTVQIuRF4D9VawuDhizz5zGFeefUM4xM1nPO8XqEQMr+/woZbFrB5wyJWLuul0lZEa8mcm4MIbsWrPjAnmc3n+xD2Mugl3Ci0lmgdUSpGdLaXWLSgkybrHGlqaCQ5k1MNLg2Ns/fUDg6c2cXkcMz0WJGsHpKnCmsUr2ctVGsp1VrK5StT7D94ASUlcRxQKAR0VEoM9FeY11dhoL/CQF+Fnq4WyqWIOAoIQ42UgnciywyHD10kSTKaKpUia9bOQwjBjJq5jPEps5WCPrSM+VW01mzatIm//uu/5rHHHuPv//7veeWVV5ienuaDoLVm0aJFfOYzn+FLX/oSa9euRWvNu2GNZeTiBPt2HOHFx17l4EvHmRyZxjlPU1QMWbiyny2PrOfOj65n4ap+4mLEjaq9o8QDD63j8MELNOoZQ0MTPPPkIRYv6SEIFdcz5zzWOox1GGMx1mGNI8stjUZGtZ5Sq6VU6ym1WkqtnlKrpVRrKbV6ynQ1ZbqaUK0lJKnBGIsxjtxYjHFYa/GeN+WcJ80M75WUko6ODjo6OvgwzFvcyfo7ljB0bgxjLLuePcYjn7ud7r42bgaaq8x7z8RIlTyzNFU6UoLQMUOofoSI+XWyJOcn/7SDwZ3H8d7Tv7ib3/zjR+jsr3AjqNVTXj1wnp/8bJC9+88xMdXAe88MKQXtbUVuWTOP7XcuZ/3a+XR2lgkDxZybkOpDBLfizUl+iR3C5wcQegk3OiUlxUJIsRDS0V6k3HOB8f5nKG44Rp4q0kZAdbzI1HCZqZEyjdFe8ol5VKct9UZGmhm898ywzlGrp9TqKSOjVY6euIwQEAaaQhxQLEZ0d7XQ19NKf28bfT1t9PW00tVZplgIiaKAKNToQCH4ZdNTCUePXMJ7XrNocRe9fW3McN5QNyN4b5mtpHvQIuKtCCHo7Ozkd3/3d3nggQd44okn+N73vsfOnTu5cuUKWZbxXkgpaW1tZfny5Xz0ox/lM5/5DOvWraNQKPCOeWjUU84fG+Klx/fz0k/2cfbwRRq1lCYhBC3tJVZuWsy2T2xk0/1r6Z7XgQ4UNzopBbffuZQVK/vZt/cM1jh2PHuUBx5ex9LlvVwLvAfnHNY6jHVY67DWYa0jN5ZGI6dWT6nWUmr1lFo9o1pLqdVSavWUai2lVk+p1VKq9ZRGIyfLDdY4jHUYYzHWYa3DOc/7wRjLdDXhehcXQrbct4odjw9SnWpw9sQVDu05Q/ej67kZaK4yk1smRqbx3tNU6UgJQsvPCVD9IGLeiveewReP8/g3dpAlOVEx5NEv3cPqO5YihOB61khyDh29xI+fHGTnrpNMTDbw3jMjCBTz+its2bSEbXcsY/nSHsqlGCGYczMTBQhuh+TH4BPewNchfwXih0HE3Bw8Y+lRdo3+LWPpEaT2RNoSlTJau2oMrBgmoJ01pUfo0w8wOtrg3MVxzp0f49zFcS5cGmd8ok6jkZGmBuc9M7yHNDOkmWFiqsHFoQleBYQQRKEmjgPiKKCttUBPdwvdnS30drfQ3dVCV0eZ9kqJYiEkDBWnTw8zdGmSJikFq1b3UypFzLA+pWFGmE0IRUF3IUXA2yGlZN68eXzxi1/k05/+NIcPH+b5559n586dHDx4kCtXrlCr1UiSBGstb0YIQRiGFItFWltbWbZsGRs3bmT79u1s2rSJ/v5+wjDknXLWMTla5fCuk7zwg73s23GEkYvjmNzSpLSis6+N9fesZvsnNrJmyzLaOsoIKbiZdHa1cP9Dazl6+CJJknPpwjjPPnWYhYu60IHi/eC9x1qHsQ5rPdY6rHVY57DWkaaGRpLTSDIajYx6I6feSKnXM+qNjEYjp55k1OsZjUZGPcloNDJq9Yw0MxjjsNZijMNYhzEW5zzvNyEEWkm0lmit0FoSaEUUBbSUI1rKMeVyTGs5ZumiLm4EqzYsZPHKPg68cop6LWXXjmNsuX81cSHkRqe5yrLUMD48TZNSnraOFKU8rxEhQvUDkrcyOTLNv/+/P2P4wjhCCDbcs5qPfOEuglBzvcqN5fjJK/zoiUF27DzO6FgV5z0zwlCzaH4n921bwd1bVzBvoJ0wUMyZ83MCEW7Ay26w53gjj8/2INwIqPnc+DwT2Wl2j/wNw439eDyzhbKFW9p/m9WVRwlkkf4euGXNPKx1JElOrZExMjrN+YvjXLg0wYVLE1wcmmBktEq9kdFIcoyxvJ73niTNSdKcpqErkxw5PkSTUpIo1IShJgo1LS0xHZUSyWTC9HRCkw4UOZ4jxy/T2hITRRorphmvjmFzhVAOKT1NSoQUdRfvlBCCSqXC1q1b2bJlC9VqlbGxMc6cOcPp06e5ePEio6OjTE1NkaYpzjnCMKRYLNLe3k5PTw+LFi1iyZIl9Pb20tbWRhiGvBt5mnPpzAi7nxzkhcde5eSBc1Qn6njvaYqKIQNLetjy8K1s/fhtLF49QKEcc7OSUrDlruU88eP9DO4/jzGW554+wv0fWcuCxV0463HOYZ3HOYe1Husczjqs8+S5JU1zkjSnkeQkSU6S5iSpIUkyGklOI8lpNDIajZxGklFPchqNjEaS02hkZLnFWoe1Dmsd1jqsdRjrcM7hPR8IIQRKSbSSaC3RSqK0ItCSQiGkpRzTUo5pKUWUyzEt5ZiWckxLOaJcjmkpx7SUYgqFgEArtFZoLQm0QmvJe5XVMyaHJ2nraaM2XiOIA8rtZRBcNZWOEpu2Lefw3rMYYxncdZqh8+MsXtHLjU5zleVpzsTINE1B6Kh0pPyCiBGqn7dijeO57+1m79OH8N7TNdDOb3z1QTr62rgeee+5PDzFT586xI+eHOTCpQmcc8wIA82yJd08cM8qtt2xnP7eNrSWzJnzS9Q8RLAWb8/xS+wFfH4QoeZzo5vKL7B79G+51NiFxzFbIIusrnyeVZXPEcgir6eUpFSKKJUierpaWLtqAOc8aZbTaORMTjW4eHmCi5cmuHR5kqHLUwwNTzI1ldBIc5IkxxjLbNY66o2MeiOj6fLwFE0qsUjjaMqM5bs/epUfPn2QMFCUihGlsqSuK6h4PUEhJ4wMQZxTLAQU+xxj7acpFUOKhZAoClBSIJVESoGSEikFSkmkFCgpkVIglUQAUkpaW1tpbW1l8eLF3HfffTQZY8jzHOcc3nuklCilCIIAKSXvhfee6kSdE/vP8dJP9rHryUEunR4mS3KapBS0draw4rZFbPv4bdx27xq653cQhJrrnQe88zjvcdbhvMc5j3Me5xzOgfMO5zzeeYx1ZLkhSy1JlpOlhnojozLQBseHcN5zdniCv/+nHcxf2Ema5qSZIUkNaZqTpDmNJCdJc5IkJ8sM1nqsc1jrcM5jrcM6h7Ue5xzOea4GpSRKSbSSaC3RSqG0pBAFlEoRpVJEqRhSLkaUShGlYkS5FFEqRZSLEaVSRKkYUSqGRKFGa4XWkkArtFYoJRGCq8Yay4lXTlBsLVIdrbLirhWU28tcTUpJbtu6jB9+6yVGLk8yPDTJ/pdPsmhZD0IKbmSaqyxNciZHp2kKQkulI2WGEDFC9vJWzh27xGP/7Rnq1QQdKB74/BZuuWsFQgiuN9Vays5dp/jej/Zy8MglsswwQ2vFovkdfOS+Ndy/fRV9Pa0oJZkz51cSZQg2Q/oz8Blv4GuQ74LofhAhN6qaGWLv6H/lQu0FvLfMpkXM8tZPsrby24SyzNshpaAQhxTikI72EksWddGUG0uS5CRpzuRUg8tXprh0eZJLlycZHplmeHSa8Yk6jSQnTXPSzOCc5xc8COuZ4QXUGhm1JOON2oF2XiP21KnVAAAgAElEQVRASodUsFMfRatTaC1RSqKkJAgUcaSJQk0UB0ShJo4ColATxQFRqCkWQuJIE0UBUaiJIk2gFTpQBFoRaEUQKLRWBFqiA0WgFVKmSCEQUiCFQEiBFAIECARCgBACwX8QIIRACBAIrHVMDk+x/4VjvPjDvRx+5SSTo9M462nSoaZrXju33buGbR+/jeUbFtHSXkJKQZO1DiEECH7Og/eeJg9473mNB+89M7wHj6fJe/De0+S9x3vw3uO9x3vw3uO9x3vw3uM9eO/x3uM9OO8xxpIbS547jLHkxmKMJc8dxlhyYzHGkhtHnluMseTGkucWYxy5seS5JcsMaWbIMkNuLGlmyHNLlhmy3JLnlizLMcbhnMc6h3Me5zxZZsgLCg8Y4Kmdx2DnMa42IUBKiVYSpSRKSbSWKCXRSlGIAwqFkGIxpFQIKRZCSqWIYiGkVIwoFUOKhZByOaZciigUQkrFEK0VWkm0lmil0FoipUQIrllxS8zAygF2fHMHq7ator2/HQRX3YKl3ay8dT4jlyfJUsPuHce5/xO30dJW4EamucqmJ+o0ahlNQeho60j5BdEKsp1fJW1k/PSbL3Dm8EWalt66gEd+bztRIeR6Yq3jxKlhvvuDPTy38zhT0w1mSCkY6KvwwN2r+Mi9a1gwrwOtJXPm/HoCEW7Cyw6wQ7yRw2e7EW4cVC83ooYZ5dXRf+Bs9WmcN8ymRMiS1oe5tf2LRKqN9yrQiqCsaCnHdHe2sHxJD03GWNLMkKaGWj1ldKzGlZFpRkanGR2vMT5RY2y8zpXLk4ycHsPheY2SCAGet+DBWYmzYDIDGN4pIUAKiVQCKSVKCoQUSCGQQiCkQAqBkAIpBEIKpBBoLQm0IggUWku0VmitUFIgpUApiZQCJSVCCpSUSClQSpLWUs4ducTQ2RGSWgKlCIohM6K2Ij2bl+AXdfHK2RFeOTfKbEpJpBA0OeexztHkvccYR5MHrHV478GDdQ7nPE3OeZxzOO+xxmGdw1qPtQ5rHdY6jHU457DWYazHWYexDmsdzjmcB+88znu89zjn8d7jnMd7j/Me7zzOe7zzOA/eeZz3eO+5lgghUFIglURJgVISpSRKSpSSaC2Jo4BCIaAQhxQKIcVCQCEOKRQCCnFIsRBSLIQUiyHFQkixEFIshhTikDBQKCVRSqK1RCmJVhKlJEIIbiTee7JGRlSKyNMcZx0fhlJLzObtK9j13FHSJOfo4AXOHr/Mus2LuZFprrKJkWmyNKepUDSUW3JmCNULosCb8nB41yme+e7LmNxSbIl59Iv3MG9ZL9eTyakGT+04wr/+cC9nzo5inaNJCGhtKbD9zuV86qPrWb60lzBQzJnzjqiFCL0Kb4f4JfYM3hxBqF5uNKmdYP/41zg1/TjWZ8wmhWZh+X42dPxPFHQnHyStFVorSsWIjvYSC+Z1MMMYR5Ybssyw88UT/F//50+omRQdKLbds4oFy7qZriZMTSdMTjW4MnGJsalRTK5wVuCsxDuBtwrnJM553invwXqHdfwHy1XVEkNLzGwTwM7DF+HwReb8akIIpBRIKXDWY62jSQClUkQcB0glUEoSaEUhDijEIXEcEIWaQiEkjgOiUFMqhhTikDgOiKOAQhxQKAQU4pBCISCOAgKtUEqilEQpiVISpQRKSqSSCOY0VceqDJ8ZZuOjG7l09BIjZ0foX9mPEIKrSQjBLbcvpmegwrmTw0yOVdnzwglWb1iI0pIbleYqmxiZIk8NTW3tKVFkmSFkL0LEvJnqVJ0ff+1Zhi+OI4Rg/fZV3PXx25BKcj2w1nHk+GW+8++7eOHlk9TqKTOiSHPL6nl8+tEN3H7bYsqliDlz3hXZCuFmSHcAhjdw05DvgmgboLlRZG6awYlvcnzq+xifMJsQivml7Wzs/Col3cuHSWuJ1iHFQki9mpJlhqZiIeTjH1vP5tuXYq0lzy2Zsbw6/HX2XdlBlgTkiSZLAvJEUxEb6VF302hY6vWMeiMlSQxJmpNmhjTNSVNDkhqMsVjncM5jrcM5j3MO6zzOepxzOO/x3uM9c94lKQVCCKQUCCGQQiCkQAqBlAIhBFIKpBRIKZBSoKQkCBRhoAlDRRBowlARBpowUIShJoo0UaiJooAo1ESRJgo1Rw5e4mePHyDPDEpKHrx/OZ/4jU0UCyFhqJBSoqRAKYlSEikFSkmUlEgpUEoy5/0RFkJWb19Na3crHfM6kEoiEHwYeue1s27zYs6fGsEax54Xj/PoF+6gs6eVG5XmKhsfniLPcpoqHSlBaPk5AaoXRMRs3nv2PXeEXU8O4p2nvaeVj3/lXtq6WrgeVGspT+04wrf/bRdnzo/inKdJCMFAXxufeHg9D9+/hu6uFoQQzJnz7klEsBkvK+BGeCOLz3Yh3ATILm4EuatzeOI7HJn4H+SuzmwCSX9hMxs7/4CWYIBrhTGOoaEJ8tzSVCpH9PVVEAK0VmitCH1OlEzRYmvMtq79XjZ33olHYq3DGod1Duc81jqc81jncdaRG0uS5qSZIU0NaZqTpIY0M6RpTpYZ8tySG0tuHCa35MZijCXPLblxGGPJc0tuLMZYcmPJc0ujljI+PEV1KsFZBwK8ECB4jdKKcqVEEGo8Hu95jfcePG/Ke4/n7RFCIPg5IQAhaBKAEILXCBBC0CQAIQRSCpSSaCWRSqCVRCqJkhKtJEpJlJIoJVFKoKREKYnWikBLtFYEgUJrSaAVWiuCQBFohdaSQCt0oAi0QmtJoBVhqAkDRRhoglARBpogUCglkUIgpUBKgZQCKSRSCqQUSCmQUqKUQAjBjLNrF3By/3lOHr+Cx3Hm6GUq5Zi+/gpzrq64FBOXYpraetr4MEVxwObtK3j2R/upTSecO3GFYwcu0PlgKzcqzVVkjWVipI61nqa2jowgdLxGBAjVB0hmmxyt8pN/2sHUWA0pJVseWc8td61ECMG1zHvPuYvjfOd7u3jimcNMVxNmFOKAOzYu5jc/fTtrV/UTBIo5c94XeinoZZCN8EvMSTAnIeziemd8wrGpf+fgxLfIXJXZBJKewno2df0hlXAxILhWZJlhdKTKjI6OMqVSxOs5n5GYCWYTQhGrCkIoBCC1ItCK94P3Huc93oHzHu88znu88zjv8d5jcsv48BSHd53i5Z8eoDZ4gWCyjveeJiEEhXLMwtUDbP7ILay/ZxWtHWU8YK3DOY+1jjfjPVjr8N7zawnQSiKEoElKiZSCJikFSgoQIIRAK0mTEAKlJFIIhAAhBEIIhAAhBEKAEAIhBEKAEAIhBEKAEAIhBFIIhBRIAUIIpBQIIbjaBua3c/d9qzl7ZhSTW06euMLO54/zqc9uRkrBnJvXqlsXMH9JN0f2naM6lbD7heNs2r6CMNLciDRXUZ4ZJkanaBLCU+lI0YHjNSJGyF5m886z+8lB9r9wFO893fM7ePh3tlFsibmWZbll197T/PN3XmLwyEWMcTQJIZg/0M6nP7aBh+5bQ3ulhBDMmfP+kW2IcDM+ewWwvIGbwGe7EOFmQHG9sj7j1NRPODD+dVI7yWwCQWe8ik1df0hHtBIQXEuyNGd0ZJoZnV1lwkjzetbnJG6C2ZQIiFWFD4IQAiUESN7Ae0+jmnL++BB7nj7E7p8d5OSBc1Qn63jnaQpCTWdfhXVbl7Pl4VtZd+dyOvraUFox5/2nteLu+1bz9JOHOHNqmDTJeeqJQe66eyU9va3MuXm1d5W57c6lHBu8gLOOwVdOMzY8Rd/8Dm5EmqsoS3MmRyZo0oGnrT1FCF4jiBGql9nGh6d44l9epDbVQGnJ9k9sZMVti7iWTU0n/OjJA3z733ZxZWQK73lNFGo237aI//TZO1i3egCtFXPmvP80ItiMl63gxnkjA/kucNMgK1yPnDecqT7Fq2P/QMOM8ssElWgpmzr/kO54HQLBtSZJcsbGaszo7GwhCjWv53xGaieYTYqAWFW4GvLMMDY0wcGXTvDST/ZzcOdxRocmMLmlSUhBS6XEojUD3PHQrWx6YC3zl/cSl2KEYM4HbP7CTrbfu4oL50YxxnH86GVefvE4j35qI1IK5tycdKBYf+cyfvSdV5gcqzF0YYwj+8/TN7+DG5HmKsqznInRaZqC0NFayfgF2QKyk9fzzrP7Zwc59PJJ8NCzoJP7f3MLUSHkWuS95/zFCb71ry/z5DOHqdVTmoSAzvYyH3/4Vj79sQ10dbYgBHPmfHCClaAWgRtnNm+OIOwZkBWuN95bztd2sHf0v1Izl3kzreECNnX+Z/oKGxFIrkWTE3UajYwmKQWdnWV0oHi93CVktsZsSoREqsIHxTnP9HiVkwfOs+vJQfY+c5iLJy/TqCZ4z2vCOKBnfifr717FHQ/dwqpNi2nrbkUpyZyrJwgU99y/mmd+dojzZ0dJGhlP/fQgd25bQVd3C3NuXktW9rJwaQ/7x07RqGXs23mSrQ+sIYoDbjSaqyipG6pTOU1BYGlrT5khVA+IAq83MTzFk//9RerTDZRWbPvERpasnc+1yFrHvsHz/Ld/eZF9g+cwxtGkpGTVij5+9/NbuGPTYuIoYM6cD5zoQISb8Pk+wPEGbhyf7UYEtwKS64XHcbHxMrtH/47p/CJvpqz72NjxPzNQvBMhFNeqqekEk1uagkDTVikyW+6mcT5nNklApFp5P3nvadRSLp28wqvPHWHXk4Oc2H+WqbEazjqapJJUOsss37CIOx66hQ13r6ZvcRdRIWTOh2fh4i623b2S73xrJ9Y6jh6+yK6XTvLIx9cjhGDOzam1UuLWLUs4uOcM1joO7jnD6OUpBhZ1cqPRXEVT41NkSU5TEDpaKxkzhOxDiJgZ3nv2PnuYI7tO0dS7sJP7P7eFMA641iRpzrMvHONr//IiZ8+P4b2nKY4Ctm9dzu99/k6WLOpCSsGcOVeFCCC4HeS3wU3xBj6DfBf43wTRwvXA47jS2Meekb9jMjsDeGYr6i42dP4+C8r3IYXmWlarJhhjadJaUi7HzJa5Kg7DbIEsoETE+yHPDKMXxzmw8zi7nhjk0MsnGB2aIE8NTUJAsSVm/vI+Nt63hk0PrmPJ2nmUKyWkFMz58IWh5t4H1/Dc04e5eGGcej3jZz8d5I6ty+joLDPn5qS0ZP0dS/nht15iYrTK5YsTHNl3joFFndxoNFfR5MgweZrSVCwbCiXDzwlQvSAiZkyP1Xj6f7xMfbqBUpKtH9vAotUDXGumphO+/+NX+fb3djE6XmNGZ3uJT31sA7/x6G10tJeYM+dqE8EavJoP7iCz+fwgwpyHYA3XOo9nNDnMrpG/YSw9Cnhmi1U7t7Z/mSUtD6FEwLWuWk0xxtGktaJUjpgts9M4nzNbqFpQQvNuWeOYGpvm+L5z7Hn6EPueO8yFE5dp1FLwvCaINF397azbuoLbP7KOtVuW0dHXhg40c649i5f2sHX7Cv7tO69grePwwQvs2XWaBx9ehxCCOTenRct7WLS8l4nRKkk95dWXTnLXQ2uJCyE3Es1VNDk2TZ4ZmlorKUFgeY0IELIXUDR5DwdePMbBl47jPXQNtHPPb2wmjAOuFR64MjzFN769k8efOkStntIkhGDJoi6++IWtbNuyjDgKmDPnQyG7EMFt+PwQ4HkDN4LP9yKC1YDg2uWZSE+we/RvGUkG8XhmC2UL69p/h+WtH0eJiOtBrZZijKNJa0m5HDFb5qo4b5gtlGUEmnfCe09tqsG5Y0PsffoQe54+xOmDF6hO1HDO0ySVpLWjzPL1C9n84FrW372agaU9FIoRCOZcw6JIc99H1rLj2aNcvjRBrZry5E8OsPmOJVTaS8y5ObVUiqzfsoQDu05hjePgnrOMDE0yf0k3NxLNVTQ1lpPnnqa2SkYQOn4uQqheZjSqDZ773i6mx+tIKdj8kXUsWTefa4X3njPnx/iHf9rBjpeOk+eWJq0k69fN5yu/u51b1gygpGTOnA+NiCC8HRr/Br7GG/gE8l3gPw2ixLXJM5mdY/fo3zFU34PHMVsgS6yp/CYr2z6DlgWuB957Go0M5xxNSkkKxZDZMjeN84bZQllGCs2v5SFppFw+O8r+HUfZ8/Qhjuw+xcTwFCa3NAkhKLUWmLe8l9vuWcOmB9ayZN18WtpLSCmYc/1YuryXO+9axvf/dTfOeQ4eOM+ru89w74NrEEIw5+ajlGT9HUv5wT/vZGxkmuGhCQ69eo55i7sRghuG5iqxJmditIqzvKa1PSMIHE1CRAjZw4wT+8/x6nNH8N5T6Wnjnt+4nbgYcS1wznPk+BD/z9eeY8/+s1jraIqjgHu3reCLX7iLBfPaEUIwZ86HTehb8KofzHFm8/l+hB0CvYxrUTUfYu/o/83F+k48ltm0jFnZ9mnWVH6bUJa5XngPeWaZIZUkCDSv53FkrorHMVsoW5Ai4FfJU8Po0ASHd51i988GGdx5nOHzY2RJzowwDuiZ//+xBx/AcZ6Hwef/z/OWfXcXZReLDqIRbAB7FalCddmOS3wuSewktpN8sf1Nbi5zM+eZzE3KXHKZyWd/M5e7ydz3TXxJ7FhxVWyf7ViWKatRFJtYwQISIEGCBNGx2L77lue5WWaYo2jJAiWCIsj9/epYvX05mx9bzaotS6lrqsW0DCoWJ8exeOSJ1ezdM8jURJpctsgLu06wcUsXNbURKu5N7T0NdK1sZnY6Q7Hg0n/gPA+9bw1O2OZuYXKbeKUSqekJyoSA2lgJ01JcJSIgE5S5RY89PzlCcjKNELB2x3KWb+jkThAEikPHLvIPT7/K2XMTKKUpq65y+MgH1vOJD2+mLh6louKOYTQirHVo/xygeYNgAu0dR5g93Gny/hTHZv+RS7ndKO1zI0PY9FR/gDXx3yZk1LCYKKXx/YBrTFMipeB6Wgd4qsCbsWQEKQyu53sBqZkMQ8dGOPrKaY7vOcvY8CSFbAmtNWWGaRBvqGb5xi42PdrHuvtX0tSZwImEqLg7LFvRzNb7evjZT46ilObE8Uv0H7vE/Q+tRAgq7kHVNWHWbe3m+P7z+H7Amf7LzEykaeuq525hcpt4rkdqJkWZaSpq4i5C8O+MBMgIZVeGJzn0ixOoQBGtjfDAhzcRrQnzXvP9gNcOnOP/efpVRi7PorWmLFFXxW9+dAsfemod0WiIioo7igiDvQWKz4Iu8Aa6AO7r4HwAhMOdohgk6U9+neHM8wTa40ZSWHRVPc66us/hGHUsNlprPC/gGssykEJwPUWArwrcSCAwZRiBRAWK9GyOiwOjHH1lgGOvDnDp7DjZVB6tNGXSkFTHonSubGXjw71seLiXjhXNRGsjCCGouLuEwzaPPrGa/a8NMTOdIZMu8sLPT7BuQwfVNWEq7j3SkPRt6qQ6FiY5nWVqPMXgyVHauuq5W5jcJp4bkEq6lFm2ojZW4hohGxHCQQWKQy+cZHxkmrKete2s3bECIQTvJdf1eXnPWf7xm3sYm5hDaxACWptjfPa37ueRB1YSCplUVNx5BMJah5YNEIzwRhrtHUOoSTA6uBOUgjQnkt9kKP0sgS5xIykM2qMPsD7xB0TMBhYjpTS+H3CNaRoIIbie1gG+KnIjgYGbE5wZHuboKwMcefkUF05fITObJQgUZUIIojVhWpc2sv7BVWx4uJeeNUuoSVRjmJKKu9uK3hY2b+tm17P9aK05duQiJ/svc9/9yxGCintQe3cD7UsbSU5nKeZdThy6wP1P9GGHLO4GJrdJqZAlk1KUmZaiJu5yjZCNQIi5qQz7f3YMr+Rjhyy2v389sYZq3kvFkseuF0/xz9/Zy+R0hjIhBEu76vlPv/MQ2zZ1YZoGFRV3LKMVYa1BByP8kuAK2juFMDr41TRoD4QFCBaCp3KcTn2Ps6kf4qsCNxJIWiLb2Jj4PNVWC3cVwRsoHeDrAjcKfM1zX9vPwHdPkpzM4Hs+VwlwoiEalyRYs2M5Gx/uZeWmLuJNtVi2ScW9IxIJ8eiTazi47zzJ2SzpVIEXd51k7foOolUhKu491bURVm/q5MShC6hAMXDsEnMzWRpb49wNTG6T9Ow4pUKJMssOqIm5/DuJMBpAWAy8fpLzJy9T1tRZz+bHViMNyXulWPT46fP9fOO7+5hN5igTQrByWRNf+NzDbFjTjpSCioo7moiCvQVKvwBd4g10DtzXIfQYCJs3UqAyEIygvWMg6xHOE4DJrearImdTP2Jg7nt4KseNBJKm8AY2Jb5Ird0JCBYrIUBIwTVKadCa62kCPFXgRoGruXRqmqlRjzLbsUi0xOjd0sPGR3rp29pDfVucUNim4t7V29fGxi1dvLjrJFprjhwa5vTJUbbct5SKe49hSlZv6qSq2iE9l2diNMm5gTEaW+PcDUxuk9TMHJ7rURaJ+kSrPK4SIZBNlAoeB39xglyqgJCCDTtX0dLVwHulUPT46a5+vvHdfSTncpRJKVjT28bnP7uT1StbkVJQUXHnEwhrA1omILjCG2m0dxihZsBoAQJQc+APo73D4B5C+wOAQtb8b4DJrRboEucyz3Ii+TSlIM2NBIJ6p49N9f+ZeGgZIFjspBBco7VGa65ySx6z4ynOnj7BdOMkVPMGKhAQWDQsqWPlxi7WPbSKtTuW09xZjxN1EIKKCqLREI89uZrDB84zN5dnLpnnxedP0LemjUg0RMW9p2t5M60dCdJzefLZIicPXWTrQysxLYPFzuS20KRmi/iuAiTVMRfLVpQJEUIYDYwPT9O/5yxaa2riVWx9Yg22Y/FeKBRcfvzccf7lmf3MpfKUGYZk0/oOPv+ZnSxf2ogQgoqKRcNoR5ir0MEVfklwCe3uRxhNaPcg2j0E/hDoJGifq0I7wdrAfBSDOQSCkFHL21Ha40LmBY7Pfo1ikOSXCeKhZWyq/yL1Ti8CwWInhEBKwTW+FzB1ZZbBg+c48vJpTu4bJJUfY9v/PkNtNW9gh2ze96lH6et8nCU9TURqwgghqKh4AwF9a9tZt6mT3S8OoLXm0IFhzgyMsXFzFxX3npp4hN6NHZzpv4xSmlNHLpJK5kg01rDYmdwO2ic1m8VzBWU1tS6mpbhKhNA0cGz3AJOXZyjr7mtj+YZO3guFosePnzvO09/bRypdoMwwJFs3dvHFzz1MV0cCIQQVFYuKrAZ7M7i7QXu8gcqgM19BE4BKAQFvIMKI0FMgY8zHZOEYY/mDrI5/miqrBRC8GaUDLuV2c3T2H8j7U/wyQa3dwcbEF2gKb0AguRsIAYYhuWZqLMn/8T/9M7OXpsmlC2iliTZ7SEtxIyfssON9m2mOdFNR8atUVTk89uQajh66QDpVIDmb5aXnT7Kqr5Vw2Kbi3mLZJqs3dfHz7x8ilyly5eIMF4cmSTTWsNiZ3AYqKJKenSEIBGU1MRfLUlwlqsmmLV7/xQncoodpm2x+fDW1iWput1LJ49nn+/mXZ/aTShcoMwzJtk3dfPFzO+lsTyCEoKJi8ZEIaw1aVIOe5Y0UqCnekrkMEbofkMxHMUhyLvMchSDJxsTnqbU7AMH1NIqx/AGOzHyVrDfGm6myWtiY+DytkfsQSBY73wtITWcYPD7CcP8lrinmXEaGx8H1EEIQrQ3TvrKOUPQy4HI9ISSGtKmoeDtCwNr1HaxZ18HeV8+glObgvnM88b61rN3QQcW9Z1lfK02tcc6fGSObLnDq8EXW37cUw5AsZia3gee5pGdnuaa61sW0FGVCNnLhxAyDRy9SlmiOsfHhPqQhuZ1Krs9zL57iG9/dx1wqT5lhSLZvWcoXPruTjiUJhKCiYhHRoHMQjKG9Y+DuB13kpggLEXocjGbmy1U5fFXkUu4VAl1iY+ILxEPLEAjKNIqJwlEOz/x3Uu4IoLlRxGxkQ+I/0R59ECkMFqvAV6RnM5w/cZnje87Q/9ogl86OkQnZ0BDjKikI14RpbWlm9fblrHtwJc1rBIfVAAWV53oCiSFsKirmo7rG4bGnVnP86EWymSIz0xlefP4ky1e14DgWFfeWWKKKlevaOX92jCBQDBwbIZcpUhOLsJiZ3Aa+65JO5ikzDE1NzEVKTVmg6jj00jlSM1mEgNX39dC2rInbyfUCnn/5NF//1mvMJnOUGVJy3+Zuvvi5h2lvq0MIKioWAQUqC8FltHcU3ANo7wSoKdBFQHNTZCsi9AhgMh8ajadyaAK0htHcPnxVZFP9f6be6QUE08VTHJr+v0mWhgDNjRwjzrq6z9FV9RhSWCw2ga/IJLNcHLjC8T1n6d9zlosDo2Tm8qhAUabqTdCAgEi1w6d/78M89OQa6pprsUMWs6VBxBVA8QYCgSEsKirmQwjB+o1drF67hP17h1BKc2DvEE+8fy19a5ZQcW8JORa9G9p58SdHKRZcLp6bZOJykppYhMXM5DbwSikyyYAy01ZU17pck5p16H/tAipQhKtCbH5sNeGow+3iB4pX9w7y9W+9xvRsljIpBZs3dPD5z+ykva0OIaiouLNpF/yzaPcAeIfQ3ilQ06BLvHMSEXoQzKXMl9Y+nspxjUYxUTjKwan/k031X8SSEQ5P/zdmigNoNDcKGTWsif8OPdXvwxA2i0XgKzJzOS6dHePY7jP07znDxTNjZGazBIGiTAgIVznUt8YxW+s4nywQKI0Vsli5dSnNnfVco7SHRnEjISRSWFRUzFdtLMxjT67hxPFL5LIlpqYyvPSLU/QsbyYUMqm4tyxf3UYsEWX8sks6mePsicssW92GECxaJreBW5whPacpsyxFTczl35mcO1Xk8pBLWVN7Pau29iAEt0WgFAcODfOP//IqE1NpyqQUbFjbwRc++zBdHQmEoKLizqcL6NIr6MJ3IBgHNO+arEM4T4JwmC9FgKfyXE+jmC6eZP/kf8WUEWaKA2gUN7JlFb2x32RF7UcwZZg7XeArMsksFweu0P/aIP2vnWXkzBXSs1kCX3GVACcaoqE1Tu/WHjY8vIqVm7o50n+Z//7fXiAoegSBIp9zuZ7SPmjNjU7etVIAACAASURBVAQGQhhUVMyXEIINW7pY1dfGoQPnUYFi/55BHn9qDSt7W6m4t9Q319K1opnxy0ncks/AsUs8/pGNOBGbxcrkNihkZynkAkBiWorqWpcy37Po35snl5IIIejb1kN9S4zbQSnNsROX+eo3dnN5LEmZEII1vW188XM76eluQAhBxb1Bo1DaR2kPpX00AUoHaAK01pRpAjQaiYEUFlIYCAykMDGEjRQmIHhPyFpE9LNgrUDnvwXu66ALvHMCYW8Gcw03Q2kfT+W4kUYz517grZgyzIraj9Ib+wSWjHKnCnxFJpnl4sAV+vecpf+1s1w8M0YmmSXwFdeEwjaJlhgrN3Wz8ZFeerf20NAWxwmHQMDFsRSmaQAevq/I5UpcT6PQaG4kkAgEFRU3Ix6P8uiTqzl9YpR8vsTEeIqXXzhNd08jtm1Sce+IVDmsWt/BwVfOEPiKwZOjJGeytETqWKxMFpwmPZvGcwNAYtsB1TUeZXMzkhMHFEoJItUO6x9aRShss9C01pwZGuer//wKwxen0RqEECxf2sgffuYhVvQ0IYSg4u6g0SjtobRLoD0CVaSk0hSDJEU/SUnNUQpSlIIUpSCNqzL4qoCvi/iqgCagTGsNaIQwMWUYS4SxZARLVuGYccJGgrCZIGwkCJsNOEYMU4YxRRgpTBaciCJCjyPMNejiT9CFfwX/AhBw00QUnKdAVnMztA5wVY6bYYgQy2o+yOr4p7FlNXca3wtIz2QZPnWZk/uGOLFvkJEzV8gkcwS+4ppQ2CbREmPl5m7W3b+C3m09NLUncKIhhBBcLxoNYZqSMt8PyOWKXE8TAJobCSGpqLhZQgg2b13KilUtHD18gSBQ7N19lseeXM2yFc1U3DukFKxat4TqmjBzszmmJ1IMnxmjpb2OxcpkoWmPdDKD53FVpMonFPYpO3cqwtgFTVlTRz0rNnVxO1waTfKP/7KHgcFxtNYIoGNJHX/4mYdYs6oNIQQVi4VGaZ9AeyjtEmgXV2UpBkmKfpJiMEspmKMYzFEMkpSCJIUgia9yBNoj0C5Keyjt824JJFJYGDKEKUKEjBhVZjNV1hKq7TaqzDaqrTZCRi2WjCCFxa0nwGhGRD6LsLejC99FF38OKglo5s3qRVjbAMHNUNrHUznmSwqL7urHWRv/DI4R407hewGpmQwXTo5y/LUznHhtkEtD42Tn8qhAcU0obJNoibFyUxfrHlhJ77YemtoTONEQQgjeSrTKwTANyoJAkcuWuJ7WCo3mRgIDgaCi4mbVJap45InVnDl9hULBZXwsye4XB+jsbsCyDCruHUu6G2hpTzA3m6OQKzFw7BLbHlmFaRosRiYLrkQ6mcL3JGU1tS6WpfBcyYkDcXJZEyEEa7YvI9EcY6FNTmf42rf2cPjYRZTSlDU31fIHv/Mgm9d3IqWg4s6h0SjtobSLr108laXoJykGsxSDJMVgjlIwRzGYoxjMUvSTuCqD0i6B9gi0i9I+oFloGkWgSwRBCRfI+1MkS4OUGcLGlA6WrKbaaqPW7iZmLyUeWkbUasaW1RjC5pYRFlhrEGYX2Pej898G7zDoIm9LhBChJ8Co52YpfDyVY75idjd9sU8RMet5r3muT3omy/CpUfr3nKF/7yCXB8fJpvKoQHGVACcaItEcY8XGLtY9uJLerUtpbE8QjoYQQjAfkaiNbRmUKaXJZIoEgcIwJGWKANDcSAgJCCoqbpaUgq3be/jFc8fpP3YJ31fseWWAR57oo7unkYp7R00swop1Sxg4fgmlNGf6L5NNFYglqliMTBaY1iXSsyk8T1JWXetiWop00uL00Vq0gmiNw7oHV2I7FgsplS7wzWf2s3vfEH6gKKuLR/nMb+7g/m09GIak4r2gCbRHoIp4ukDRnyUfTFHwZygEMxT9WYpBkoI/TSGYwVcFAu2htIvSHhrNnS7QLkHgUgrSZL1RxvIHMYSNbVRTZbWSCK0i4fRSF1pJxGzEklEEgndNVCGc9yGsdejij9CF74M/AijektGBCO0EDG5WoEv4qsR85bxxRnIvE7UasWU1t5tX8pmbSjN0fIQTewc5dWCI0XOTZFN5VKC4SoATDdHYVseqrUtZe/8KVm3upr41jhMNIYTgZoVsi2iVwzXpdAHfDzAMSZnWijcjkICgouKdqG+o5pHHV3P2zDilosfoaJJXXx6gvTOBaRpU3Bss22TVunZ+HjlEIVfi8vAUV0ZmiSWqWIxMFpjyS6RnM6jAoKy61sWyFGcGa5m4FKasoa2OZes7WUiFosf/+9OjPPfCSVzXp6wqGuI3PrqFx3auwjINKhZeoF18lcdVGfL+FDlvnJw/Qd6fJOdPkPPGKak0gSoR6BJKe2g0dx9NoEsU/BIFf5qpQj+mdHCMOupCy2kMr6fBWUu11Y5tVCOQvHMCjFZE5PcR9nZ0/jvo0i9ApQDNGxmI0CNgtPNOeCqPwme+SirNqeS3CVSJvvincIwYC61UcElOpBg6PkL/3kFOHzjHleFJcukCWmnKhBCEoyHqW+Os2trDugdW0Lt1KfWtdThhGwTvimUZ1NaGuSadLuB5AaGQxX/Q/BKBoKLinZJSsO3+ZTz/XD+nT47iewGvvjTAw4/10dFVT8W9o6e3lbr6akZzJTKpAoMnL9O7oR0hBIuNyQLzSmnScx5gIATUxFyEgIFjtWQzJghYsamLeGMtC8X3A17cPcD3/+0w+YJLmROy+PD71/Ph963HCVlU3HqBdvFUHldlyHpXSLsXSbsXSXsjZL0xPJXD10UCVUKjuBNIYSCxEMJACgOBgRASEFyjtUIToLSP1gEBHloHvDsaXxXIqlGy3iiXc3twjBix0DKawhtpCm+gxurCNqoQSN4RYYO1AVGzFEoPovPfAu8oaJf/YDQinMdB2LwTnsqhtc/NcFWWgdQzeLrAuvhnCZsJbikNxXyJqStJBo9eoH/PIKdfP8fU5VnymSJaa8qEEESqHBrbE/Ru62HN9mWs3NxNfWscJxwCwS1jWgY1NWGuSacKeF5ARcVCa2is4eHH+zg3NIFb8rk0MsOeV87QuqQO05RU3BvqGqrpWtHE6MVpPNdn8OQopYKHE7FZbEwWmFeaITOnKTMMRXWtSz5rMHC0FhUIQmGbvm09OGGbhaCU5uCRi3zje/tIzuUpM03Jow+t5Dc+uoWqaIiKWyPQLq7KkPPGSZaGSLqDpNwL5LwxXJXFU3mU9nivSGEghY0hLKSwsWQUx4jjGHFCRi0ho5aQrCVk1GDKCKYIY8owpgiBEPw7TaBcfF3AU3k8laMUpCj4MxSDGQrBDAV/Bldl8FURXxXRBNwspT3y/hR5f4rx/EEcI05daCUtka00hTdTZbViyTAguGmiBuF8AGGtQxd+iC78EIJRQCPs7WCu5J1ygxxK+9wsTxUYSv2YQBVZl/h9qsxm3g2tNYVsiYmRaU6/fp5T+4c4c2iY6bE5irkSWmvKhBBEa8I0dzbQu20pa7YvZ8WmLhLNMUJhm4ViWQY1tWGuSafzeG5ARcVCMwzJjgdW8MLPT3B2YAzPC3jlxdM89OgqlrQnqLg3hKMhlq9pY9+Lpwl8xfnTY6SSOZyIzWJjssC80izpOU2ZaSmqa13GL4e5dC5KWayhhhWbukFwy2kNZ89N8LVv7WFsfI4yKQWb13fyO5/cTl0sSsU7p7SPq9KkvcskS4OkSudJukNkvFHcIEOgS9wuAokUFoawMaSNKRxCRgzHiOMYcRwjTsiI4RhxHDOGY8QJGTEMEcIQFgITtxiQzxfIZ/KkUikymQylUhKlFLZtE41GicViRCJxqqNRIpEIhmFQprRPoF0C7RKoIoVglqx3haw3Ssa7TMYbJeeP4wYZPJ1H64D5Uton70+R96cYyx8gYjbQ4KyjLbqDBmctYbMeKSxujgSjHRH9AsK+H134Jto9Bs5TIKK8U57Oowh4J3xd4nzmOXxdZEPiD6mxlgCC+VJKk08XGL84zakDQ5zcN8TZIxeYnUhRKrhcI6WkKhahtbuR3m1LWbNjBcvXdxJvrMF2LG4H05TEYhGEEGityeddstkijU01VFQstKaWWh5+rI8L56dwXZ+RC9Ps3X2Wj/3mfRiGpOLuJ6Vg+eo2otUO6WSe6Yk0l85P0dQWZ7ExWVAarzhDNsVVpqWpqvE4e6yWdNKibOmaJTQuqWMhTEyl+Odvv8bZcxNoDULA8qVN/N6nH6CtJUbFzdFofJWn4M+QdM8yXTzFTPE0aW8EN8gQaJeFIoWJIUIYwsaUDraswTHqcMw4jhEnZNTiyBiOWYdjxAkZMUzhYEgbKSwMYSOQXM91XaanpxkYOMKxY8c4deoU58+f58qVK2SzWTzPQymF1hopJaZp4jgOjY2NdHd3s2LFCtavX8/atWtpaWkhEolgyQgYELWaqXf60GgCXcJXBUpBirQ3wlzpPHPuOeZK58j703gqhyZgPgLtkvFGyXhXuJR7hRqrndboDpZEH6DW7saSEUAwb8IGexPC7AF/AGGt5t3wVA6tfeZPIIWJKUKY0sGWNXiqwGzxLFVmC1KY/CqBr8imclwenODUgSFO7j/H+ROXmJtM45Y8rjFMSVUsSseKFvq29dB33zKWrmknVl+NFTK53YQQxOJRLMvAdX0812cumeMNBBUVC8IwJDseWsELu05wbnAC1/V5+YXTPPjwKlra4lTcG9q7G2hojpFO5slniwyeGGXTA8uRUrCYmCwk7VPIJinkBWWWpbCsgLPHa/BciWkZ9G3rIVId5lbLZIt8+/sHOXDkAkppylqaYvzepx9g5bJmhBBUvD1NgBtkSHuXmC6eYLp4ktnSIAV/Gl/l0WhuFSlMDOFgSoeQrCFs1hM2EoTNesJmgohRj2MmCBsJLBlBChtDWBjCRgiD+dBak06nOX78OM8++ywvv/wyQ0NDzM3N4bou83H+/Hn27duHYRhUVVWxZMkS7rvvPp544gl27txJc3MzhmFQJhCYwsE0HBwjTq3dxZLoQ/iqQClIMudeYLY0wEzxNEn3HEV/lkCXeHsaT+WYKQ2QdIc4n/4pjeH1LInupDG8nrBRhxAG8yNAxhD2dt4tL8ihdMCNpDAxRQhDhrBlFWEjQdhsoMpsImI2EDEbiFpNOEYcUziY0kEKgzfjuT7pmSwXB65wcv8Qpw+c48LAKOmZLL4XcI1pGdTUVdG+ooW196+g774eunrbqE1UYZgG77V4PIplGbiuj+sGJOfyXCMQvBmNpqLiVmhpjbPz0V5GLkzjeQEXzk+y77VBfv1jW5CGpOLuVx2L0tPbwrnTVwgCxeDJUfLZIlU1YRYTkwVVIjOXxvckZaalCDzB8JlqyqpqI6zc1I2UglvJdX1+uqufn794Cs8LKKutCfOpj29jy8ZOpBRUvDWlfUoqRao0zGTxOFOFY8y55ygGKZT2eLekMDFFGEtGCZsJomYzUauJiNlI1GwiajbjmHWYwsEQNoawEcLg3cpms+zevZunn36al156icnJSXzf550KgoBUKkUqleLUqVM888wzbNy4kU996lN86EMfoqWlBSklNxIILBnBkhGqrDbaojvwVJacN8F08SSThWNMl06R9yfxVYG3o7RPzp9gOLOL0dxrxELLaI/upC26gyprCYawuB00CkWAY8QwZZiwUUfEaiJqNhIxG4iajUTMBsJGAlM6GCKEKUMIDN5OqeCSnExzrn+Ek/uGOH3wHFfOT5KdyxMEimss2yTWUE336nZWb1/Gmu3LaVvWRHUsimFK7iSxeATbNsnlSniez1wyxzVCSEBwI40CNBUV75ZpSh7YuZIXnz/JhfNTlEo+L/3iFPc/tJKm5loq7n4hx2L56jZe+rdjuCWfi0MTzE5lqKoJs5iYLCCtXTJzaXxPUhaJekyMOsxOhihr7EjQ1tPEraSUZt+h8zzzo0Pk8iXKQiGTD71vHU883ItlGlT8MqU9isEcc+45JgpHmCwcI+1epKTSaB3wTklhYIoItlFN1Gymxm6nxuqgxu6g2lqCLWswpYMhQkhhshCCIODkyZN89atf5V//9V8ZHx9Ha82tpLUmnU7z8ssvc+jQIX7wgx/wR3/0Rzz++ONEIhF+FYHEljXYoRrioWV0V7+PnD/JdLGficJhpgonyPkTBLrEr6ZxVZbJwlFmiqc4l/4JbdEHaK/aSdxehinDLCxBZ9UjtEa24Bh1mDKMKRwMEUIKg5uhtaaQKzF1eZazhy9w6sAQA4eGmbw8Qz5TRCvNVQJCYZu65lqWreukb1sPfff10NrdSLQ2jJSSO1UsFsUOmZT5viI5m0MFCmlIBJI3o7UCNBUVt0LbkjoefHgVl0dm8f2A84MTHNg7xAd/fRNSCirubkLAsr42qmojzE6mmZvJMnx2nI6eRhYTk4WkS2SSGXzfoSwS9bl4Nko+Z4CAZes6qI5HuVW0hqHhSZ7+7n6mZjKUGYbkoe3L+fiHNhEJ21T8/5T2KQVzJN0hxvIHmSwcJeNdxg0yaBTvhBQmlowSNhLU2t3UhVYQC/VQbS0hZNRiyQiGsAHB7VAsFvnJT37Cl7/8ZY4cOYLv+yy0bDbLz3/+c06cOMHnP/95vvCFL9DU1MT8CEwZptbupNbuoLPqcbL+GJOFo4zlDzBdPEUxmEVpn18l0C5z7nlS3kUuZp+nL/7bLK/5KFKYLBSBIGZ3806pQJFLF5gYmeb0wfOc3D/E2SMXmB1PUSqU0JqrhBBEqsM0tMVZsbGL1duXsWrzUhrb6whXOQghWAzCYZuamjAT4ynKZmezuF6AY0iEMBAIbqQJ0GgqKm4F0zJ46JFVvPLCaUYuTlMserz4/Em2P7CchsYaKu5+TUvitLbXMTuZppB3GTwxygNPrMa0DBYLk4Wks2RSJTwvQpk0FBfPVqECQShss3xDF7ZjcatMz2Z5+rv7GDw/gdYghKBvZQu/88ntJOqqqACtA4pqjmRpkIn8YSYKR0l7F3GDDBrFzRJILBklajURD60gbvcQC/VQY3UQMmoxZRiB5L2QzWb5+te/zt/8zd8wOjqK1ppfRQhBJBIhGo0SiUSoqanBcRyklJRKJTKZDLlcjnw+TzabJQgC3orWmtHRUb785S8zMjLCn/3Zn9HZ2cnNEZgyTMxeSq3dTVf1k6Tdi1zJ7+dKbi8p9wKuygGat6J1QClIY4kIQhjMi++D64IQEApBEIBhgBDg+2CaIAS3gu8FpGezXB6a4NSBIU7uG+LC6VFSUxncksc1UkqqasM0ddbTt62HNTuWs2x9B3VNtTjhEAgWHTtkUFcX5ZrkbA7X9XEcC4EEBDfSWlFRcSu1d9Zz/86VjH5rlsBXDJ0Z5/X953jfBzcgpaDi7lZVE2bZ6jZOHr6I1ppzp6+QyxapjUdZLEwWkPJnyKQUQSAoCzzB+EiYsup4lGXrOrhV8gWXH/zkMPteP49SmrKWplo+8xs76OpIcC/TOqCkUsyVhpkoHGaicIQ59zxukEajuFmGCBEyaqmxO6h3VlPvrCFu9+AYcUzpAIL3WrFY5Gtf+xp/+Zd/ydTUFG/FMAzq6uro7e1l69atrFmzhqVLl9LS0kIkEsEwDMqUUpRKJWZmZrhw4QKnT5/m8OHDHD16lLGxMUqlEm8ml8vx9NNPEwQBf/3Xf01rayvvhEBgy2rqnTXUhVaxrObDTBVPcDn3KhP5wxSCKZQOeDN1oRU0R7YiELytQgGefx7Gx0EpWLcOkkno64OmJti1Cx56COJx3qlSwSU5mWb41GVO7T/HqQNDjJ6bJDuXw/cCrjFMg+p4lCXLmui7bxmr7+th6ep2ahuqsUMWi51tm8TrqrhmdjaH6/qUCSQCwY00Co2mouJWsSyDnY+uYvdLpxm9NEuh4PLi86fYtmM5ifoqKu5ulmWwrLeVUNiimHcZvTjDzESa2niUxcJkAflukmxKg+aq2QmbfFZTtmRZE41L6rgVgkCxe+8g/7arn5LrU1Zd5fDJX9/CxnUdCCG412gUbpAl5Q4zXnid8fwhUu4wJZVG64CbIzClQ9RsIuH00eCsIRHqJWq1YMtqpDC4kyilePbZZ/kv/+W/MDU1xZsxTZOuri5+7dd+jQ996EOsXbuWRCKBZVn8Kt3d3WzZsgWlFOl0muHhYXbt2sUPf/hDjh49SqFQ4EalUonvfOc7NDU18ad/+qdUVVXxbkhhEjEb6ax6lNbIdubc84zmXmU09xppdwRfF7nGECE6qh4jbCaYl4EBOHwYPv1pmJyEH/8YtAbfh85O2LMHNm2CeJz50lqTzxSZGp3l7OELnDp4jrOHh5m8NEs+U0ApzTV2yKK2oZqlq5fQu62H3q09dKxopjpehWkZ3E0sy6SuLooQoDVkMgXyuRLUVyOFCUJwI02A1gEVFbdSZ3cDOx5YwQ++d4AgUJw5fYXDB8/zxPvXIoSg4u7WtbKZ6towxbxLJpXnwtkJlq5qYbEwWUBeaZZMiquE0KRmLNxigBDQs3YJ0doI75bWcGZonG//4CBzqTxllmXw1KOreerRPizL4N6h8VSejHeZicJhxvOHmCkNUAqSKB1wMwQCS0aJWi00OGtocNZR7/QRMRsxpQMI7lRDQ0N85StfYXR0lDeTSCT4+Mc/zh/8wR+wdu1awuEwN0tKSSwWY+PGjaxdu5ZPfvKTPPPMM/zDP/wDg4ODKKW4XqFQ4J/+6Z/YsmULH/vYx5BS8u4JLBmhwVlDIrSSnpoPMpY/yEj2RWaKA7gqS8zupi26A4FkXq5cgYYG6OmBujr4wQ8gm4VXX4WBARgb42b17znLT/7xJQaPXSQ5kaJYcEFzlRCCcJVDfUuM5Ru66N22lFWbl9LcVU+0JoyUkruVlIK6uipM08DzAtySTzKZo6OzHilMBIIbaa1R2qei4laybZOHH+9lzysDjF2ZI58r8cKuk2y5r4d4XZSKu1t9Yw2tHQmmxlKUCh7nBq6w8wNrMS2DxcBkwSi8UpJMiquEAK01WoMTMenua8S0DN6t6ZkM//LMfi6MTFMmhGDj2g4++eubqYqGuBcE2iXvTzJZOMaV/D6miyco+NME2uNmCCSWUUW12UZDeC1N4U3UhVYQNhMYIsRiUCqV+OY3v8mhQ4fQWnM9IQQ9PT38yZ/8CZ/4xCeora3lVjBNk+7ubv74j/+YHTt28Fd/9Ve88MIL+L7P9aampvj7v/977r//flpbW5kvrTVaa6SUvBUpLKqtdqpq22ivepjJwlEuZXeTcHqJms3MW3097N0LV67A2BgIAfX18MQTsHQpfPWr3Ky56Qyv/+Ik+UyBMmlIojVhmtoTrNyylNX3LWPFhk4SLTGcaAghBPeKeF0UyzbxvADX9ZmdyVEmhQlIbqRRKO1TUXGrdfc0ct/9y/nR9w+hlOL0yVGOHLrAo0/0IYSg4u4VrXZYuqqF4weG0VozfGacXLZIbTzKYmCyULSHX5olm7YoUwo8V1BWVRuhs7edd6tY9Pjhs0c5ePgCSmnK2tvi/PYn76O5sYa7mUZRCuaYLQ1yJbeX8cLrZLxRfFXgZggElqyiymqlMbyBlshW4qHlOEYcQ9gsNiMjI3z/+9/HdV1u1NPTw1e+8hU++MEPYlkWt5pt2zzwwAP87d/+LV/60pf42c9+RhAEXKO15sCBA7z88sv81m/9FkII3pKGYr7I+PAkp/cPsnzjUpZt6ubtCCRhI0Fn1WO0RnYgEEhhMm99fXD8OHzrW6A1fOADMDkJra2QSMCyZRAKcTN61nXQ3FnP3FSaJcua6Nu2jL77eujqW0KsvhrbsbiR7wUopbBDFnezeF0U2zbI58B1A5KzWcokFgLBL9MofCoqbrVQyOKRx/vY++pZJsZT5HJFXtx1gs1bu6mNRai4e5mWwdKVLYQci2LBZfTiNLOTGWrjURYDk4WiS7jFJLmMxVUaVMBVTe0G9a21vBtKafYfGuanu/opuT5lNdUOv/HRLaxZ1YYQgruRr4tk3MuM5Q8wmt/LXGmQUpBGo5g/gSUjVFttNIY30BzeTJ2zEseowxA2i9lrr73G+fPnuVEsFuNLX/oSH/zgB7EsizelFHge2DYEASgFts1VQQD5PCgF4TDYNm9GCMGqVav4i7/4C0ZGRujv7+d66XSaXbt28ZGPfIRoNMqNPNdndizJwIEhDj57hBN7Bsil8vyP/9fvs2xTN/MnsGSEm1ZdDb/926ipKbRtYzQ0gOuCbYNhwCc+AeEwN6O+Nc7v/dn/QLQ2Qmt3A1WxKKZlcCOlNNlUnuEz4xx9bZDuVS3s/LX13M3i8SihkEWZ7wfMzuZQSiGFgRCSG2mtUNqjomIh9KxoZuv2Hn76oyOYpoFb8slmitTGIlTc3bpXNFNdG6ZYcMnM5blwdpzulc0sBiYLROOSTacplSz+g9aUda0KE602eTcuXprh2z84QHIuR5lpGjzxcB+PPbgK05TcTbQOKAZJZkqnuZx7lfH8YfL+BIF2mT+BJcNEzRYaw+toCm+m3llN2ExgCJu7geu6HDlyhHw+z4127tzJxz72MSzL4i1NTMCBA/DUUzAwAHNz8Oij4Ptw8CD094NhQDwOTzwBNTW8GSEEGzdu5Hd/93f58z//c4rFItdorTl69CjJZJJoNEqZUorMbI7h/ou8/vNjHHn+OKND4+TTBbTWRKrDBH6A5/rMlwAMy0AIwU2LRLgEpKamWNfSAqbJf4hGuVkhx2Lrk2t5M1prCrkSVy7OcHz/OY7sGeTcqStkMwU++z+/n7tdJGJTUx1mYjxFWTKZw3UDhGkgMbmRRqO0T0XFQnAci8efWsvMdJZ1Gzu5/8HlNLXEqLj7JZpraelIMDWeoljwOHdmjIc+sBbTNLjTmSwUXSSbyuD79VylNaCxQ4qu3hqsUIh3KpMt8r0fHeLM0ARagxCCNata+fiHNxGNhrhb+LpIxr3Mlfw+Luf2kHLP4QYZNJr5MkSIqNVEg7OOJylqwgAAIABJREFUlsg26p3VRMx6DBHibpPP57lw4QJaa67nOA5PPvkkiUSCXymXg337oKYG+vuhqgoefRTm5mD3bnj0UWhogGeegaEh2LSJt2KaJk8++SR/93d/x8jICNebnJxkamqKRKyeK0PjHH3xBId2HWfoyDDp6TRBoLieW/J4/huvcHrfIPMVrY3woS8+RX1bHe/E9PQ0Y2NjrFu3joVQKnpMjc1x6tAFDu0+y5ljI8xOZfBcnzLLNgk5Fnc7yzaJxSNcMzeXx/MCpCmQwuRGGo3SPhUVC2XV6jb+l//1w0SrQhiGpOLeEK12WLqymf6Dw2itGR4YI58tUROLcKczWSgqRS7tE3iC/6AhUuXTucJBSJt3wvcVv3hlgJf3nCEIFGUN9dV86uPbaGuJsdhpFKVgjuniKS7nXmU8f4i8P0GgXeZLCouwkaDeWU1zZAuN4fVUmS2YMszN0lrjeR6lUgnP81BKobVGSolpmti2TSgUQkrJe83zPFKpFDcKh8N0dnYihOBtZTIwPAzj49DVBdksZLNQLEJbG8RiYNuQz/N2Ghsbqa+vZ2RkhOu5JZfDLx3jla++zuFdx5i6PItX8ngrvutz8LmjHHzuKPNV31bHQ5/YQX1bHe+U1ppbKfADktNZzhy/xJFXz9J/cJjJ0STFgsubuXRuktdfOUMobBEKWYTCNrZjYRoSaQikIZFSYhgSaQikITEMiZQSaUiE4I5nWyaxeJRr5pI5PNfHCQukMPllCoVHRcVCMU1JTW2YinuLZRksXdVCyLEoFlxGL84wO5WhJhbhTmeyQLSaJZvW+L7kKq0pi9X7NC6JACY3S2s4ffYK//rjQ2RzJcocx+Ij71/PpnUdCCFYrJT2yPnjjOUPMJJ9mdnSGdwgjUYzHwKBbVQTs3tojWynJbKVGrsDS0YBwXwppchkMoyNjTEwMMDQ0BAjIyNMTU2RSqUolUoopbBtm6qqKhKJBG1tbSxdupTe3l46OjqIx+NYlsXtJoTANE1upJTCdV3mpasLPvYxeO012LsXvv1t6OmBSAR274bmZkinoaWFtxMEAa7rciMpJQ1L6lkSi5JN5vC9M8yOzeF7Pm9GCIEdtjEtg/kKV4eRhuBOUSp6vPqz4zz3vYMMD4yRyxTRWvNWPM/nuWcO8OKPj2AYEikF0pAYhsS0TeyQiRO2sUMmTtjGdiycsE0obGM7Jk7Yxg5ZOGEL27EIhW1CIRMnEiLkmITCNrZjEXIsDENiGBIpJdKQGKZESoE0JNKQGIZESsFCsGyDWCzCNel0gWLJI4xE/n/swQmc1ldh8PvfOee/Ps8z+8awDQzDEkgChGxAFrLXpKixrjE29eqNtvpRu/l67cfY18/VW+3t22qj1t5+cut9tWo1qakxIWZvFolJIIEQIAPDvswMDMM8y38959xO+tISJCwBIiTz/QqHQ1lrMSZnzJgxY062KTPGUawPiKOU8v4aWzcOMGV6B6c7h1PEmiGqI5Y8l7zC8ooJU3OKDfW8HnuGyvzgrmfYvmMfo6QUXLRgKtdfcw6e53AmykyN4bSP7dXH2VF9inK6jdzGHCslfOrcCYwrLKCzcBEt/lkEqhEhFMejVqvR29vLI488wuOPP86qVavYs2cP1WoVay2+7+N5HlJKhBAYY8iyjCRJ0FoThiENDQ1Mnz6dxYsXc+WVVzJv3jyampoQQvBG8H2flpYWDlWtVlm9ejXveMc7cByH19TcDIsXQ6EAM2ZAHEOSgBBw443w6KOwdi1cfz10dXE0vb299Pf3c6ggDJh+9jRmzZrFJb9zEdvX7WTlw6t57oFV9K3aQmVfBWMsB3iBy9KPX8vsRTM5Vn7g0j6pldOF6yqmzZ7AORfupTxcI4lTslTzmiwkUUYSZbxeUgqkkkgpUUoglUQpiVQSqSRSChxX4boOfujiBy5+6BGEHl7gEIQenu8SFDy8wMUPXDzfIQg9vMAlLHh4vosfeviBgx96uJ6DUhKpJEoJpJJIKVFKIpVAKomSEiEFo5SSNDYVUEqitSFJckb2RzR1BEjhciiLwZAzZsyYMSdba0c9HeMb2ds/QlxL2dLbj7lmDlJJTmcOp4jV+6iULVoLXmEtQlgmdmeEpXqOV5Lm/PwXq3n2+c0Yaxk1eWIL77/xApobi5xJLJZED7MnXsPWyqPsrj1LTQ9ireZYCCSBaqIlmM2E4iLGhedRdDtRwuN4RVHEc889xw9/+EN+8YtfsG3bNoQQtLW1sWDBAmbNmkVXVxcdHR00NjYSBAFSStI0ZWRkhD179rB161Y2bNjA2rVrWblyJU8++ST/8A//wMKFC3n/+9/P1VdfTXNzM0IITqVCocDMmTORUmKM4YA8z7n33nu56aabmDFjBq+puRkWLuQVPT0wMgLLl8P8+dDdDVOngrWgFEdTqVS48847GRoa4lBTpkyhpaUFIQTF+gIzL+xh+oJurvvwFfQ+18eKB1fx/KNr2LlhN1E1RrmKWRf2cOm7LuKNoHNNsVCkubkZnWmUo0BwQqSSTJkxjolT27js+rk89cCLPLlsNdv6BkiTnEMpJWlqq0MpidYGYyxGG4w2aG0wxmK0QWuD0QZjLIcyxmKMBjQnSgiQUiKVQCqJlBKlJFJJlJJIKZBKohxJEHp4vktQcPFDD9938UMPL3AIQg8/cAmLPn7g4oce23sHEIJXJHHG+he34zhNZMJyKGsNcRwRqxSlJFJKlJIgGDPm1KhWYdUqGBqCxkaYOxdKJca8+RRLAV09Hby0civGWDb39hPVUop1Aaczh1PCkKfDVMsCLP+LJQg1E7szpNPE8bDW8sKL27j3gdUkSc6oulLAu9++gJk94xCCM4KxOdV8N7tqz7Ct8m/sTV4i1SNYLMfCkQH17mQ6CxcxvnAxTf50PFWHQHC8jDH09fVxxx138IMf/IAdO3bQ2trKDTfcwNVXX81FF13ExIkTqa+vx/M8hBC8ljzPqVQq7Nmzh+eff55HHnmEhx9+mPvuu4/HHnuMq6++mk984hMsXLgQz/M4VZRSXHjhhTQ1NbF3714O9sILL/DNb36TP//zP6epqYljctZZ0NUFhQIIAUJwLLIs4+677+bOO+9Ea83BlFJcfPHFNDY2cjCpJE0djVx4/XnMv+ocBrcP8eITa3nugVVsWr0F5SreCEYb+p7rIwgDJjVPYsMzG+i5oAflKk4Gx1V0Te9gwtRWLn3buTz98FqeuG8Vfet3kcYZB5QaQv7gi+9k6sxxJHFOmmQkUUoS5yRRSppkxFFGGmdEtZQ0yYijlDTOSaKUNMmIo4w0zoijlDhKSeOMLNUYY9DaYLTBaIsxBq0NRlu01hhtsdZyMGtBa4PW/DvNiZJSIJVEKYn2HHTRAyGoVRP+598+SH0x5exbd9NyNq+SZRm/uGs52cYKfujhBw5BwccLHILAwwtcgtDF81380MMPHPzQIyh4eJ6LciRSCqSSSCVRSiKlQDkSKSVSSaQUjBnzCmPgqadgzRo45xx4+mmoVODqq0Epxry5uL5L1/QOXE+RpZrtmwYp769RrAs4nTmcCjYjT4eplh3+k7UUijkTp2qEbOJ4DOwp8+O7n2NgT5lRSkmuuHQmV1wyE6Ukp7vcxuxP+thefYLt1ScZSbeQ25hjIZD4qpG24GwmFBczrrCAotOBFC6vV57nPPbYY3z5y1/mqaeeorGxkVtuuYWbbrqJ+fPn09DQgBCCY+U4Do2NjTQ2NtLT08MNN9zAxo0b+elPf8qPfvQj7r77blauXMmnP/1pPvShD9HQ0MCpcv755zN//nwefPBBDpamKd/97ndpaGjgU5/6FK2trRxVGEIYcjySJOGee+7hS1/6EgMDAxyqo6OD6667Ds/zeC2u7zJ+Wged3e1ccuMF7OrbRLExJ03+DWyG6y9GiIBTQUhBWBey5tE1SCWZcfEMpCM52RxHMXFqG52/18Kia+bw9CNrefzeF+hbu4s4SnFcRceEJsZNauFYWAtGG4wxaG0w2mK0wRiD1gajDVpb8jQnTXLiKCVNMuIoI40zkiglSXLiWkISZSRxRppkxFFKGuckUUqSZCRRSlzLSJOMOErRucFogzEWrQ1GG7Q2GGMw2qC1xWjDoYyxGKPJM43VBkIXlMAC5XJMVq4QVzWHMsbw8prNbLg35j8JkEIglUQpiVQSKQVKSaSSSCVRSqIciee7+IGLH7r4vosfeniBQ1jw8QKXIHTxfBc/9PADBz/w8AKXIHTxfJeg4OGHHn7g4noKKSVKSaSSSCWQUqIciZQSpSRSCYQQjDlDpSn09sK8eXDZZWAt9PaC1qAUY95chICung4KxYD9aZXhvRV2btnLuInNnM4cTomULB2mUnY5wFpobk9o6vBAFDlWSZpz74Mv8sKL27DWMmp6dzvvuuE8SkWf05clNRX2xuvYWnmYnbWnqeUDGJtzLJTwKLkT6CxcwMTiYpr9s/BUHQLBiciyjLvvvpvbbruNvr4+Fi5cyGc+8xmuvPJK6urqOBnCMOTss89m5syZLF26lG9+85v8+Mc/5rbbbmP37t380R/9Ec3NzZwKbW1t3HzzzTz77LMMDw9zsP379/M3f/M37Nq1i09/+tPMmjULx3E4Gay1DAwM8P3vf59vfOMbbN26FWstB1NKcf3113P++efzmmyGsRWs2UOebwCxjraudeTZy5SHyxSKt+L5l3OqCCFom9JGnubkaU57dztCCE4VpSSdk1t4+82LWHT1HJ75t/U8ds/zjOyr4ocex0oIUI5EIXE5ccZYjDEYbTDaorXBGIPRBq0tRhu0NmRpThKlJHFOEqWkSUZUS0njjDhKSeOcOEpJk4wkykiTjLiWEkcpaZKTRCnVOGNrOSLJDaO8gkedW0QJj0MJaZGO4VUsGGsxRpNnmhMlBEgpkUqilERKgVQSqSRKSaSSKCVwXAfPdwhCDy9w8UMX33cJih6+7+KHHn7o4gcunu/ihx6+7+AXPILQw/dd/NDFC1yC0EM5EiklUgmUUkglUEoipUQqgVQSpSRj3kBCgBAwMgJ5DiMj4DiUKxW0lNTX1yOlZMybR+fkZppaS+zfV6VWTdi8oZ/5i3oQQnC6cjgFrE3J02GqZZdXWAvWMm5yRKGuEYTHsbDWsmrNdu57YDVJmjOqvi7kd5aeR9ekFk5HFkuihxmMVrG58iD9tRXEeh8Ww9EJPFmkyZ/OpNLljC9cTMntRAmfk8EYwy9+8Qs+//nPs2PHDj74wQ/yuc99jmnTpiGl5GRzXZe5c+fy1a9+ldmzZ/OXf/mX3H777fi+zx/+4R9SKpU42aSU/PZv/zYPPfQQ//RP/4TWmoOVy2X+8R//kRUrVvC7v/u7LF26lEmTJuG6Lq+HMYahoSGefPJJ7rjjDh5++GEqlQqHM3v2bG699Vbq6uo4wNoEa8sYvZM8W4/O15Fn69B6E8bsw5oqoBmVy6kIdRZGD6OEixIuSnhI4XCyWGsZ3DyIX/DxQo+BvgEmnzsZIQTHz4KNQHiAw5FIJWmf0MTb3ncRF11xFhtf2kljS4nfFCkFUipwFCfMgrEGrS1GG4w2aG0w2mK0YWiowte+9nM29PYz6uyLp3HjjXPY3Rixj90cTCrB/Eu7Obv1QpIoJUkykigjjTPiKCVNcuIoJY0z0jTHaIvRBmMMWhuMthhtMMagtcFoi7WWg1kLWhu0NmScOCkFQkqUkkglUEoilURKiVICqSRKSVzPwQ89vMAhLPh4vkMQeniBix+6+L5LUPBwfYcg9AhCDy9wCUIPz3fwQw/fd/ELLp7vopREKolSAiklUkmkEiglkVIilURKwZgj8DyYOxceegiGhmDnTrj2WvZXKjy1fDldXV3MmTOHUqnEmDeHuvoCk6a1s7m3nzzTbOntJ01y/MDldOVwKtiUPBmmWm7hACEsnZMi/EIXQngci8E9FX5897MM7CkzSinJFZfMZPGFPUgpOJ1YDFG+h121X7Gl/BB7kjUkugxYjkYgCZxm2oO5TC4toT2cR+i0IJCcTGvXruXLX/4y27Zt45ZbbuGLX/winZ2dnGpNTU187GMfo1gs8oUvfIFvfvObTJ8+nfe85z0opTjZWlpa+OM//mM2btzI8uXLMcZwsDzPWbFiBevWreN73/se1113HUuWLOGss86isbGRMAyRUnI41lrSNGVkZIStW7fy5JNPcv/99/OrX/2KvXv3Yq3lcDo7O/nsZ/+UefNmYvROdL6FPF+Pzl8mz9aj9Ras2Y+1EWA5lLaCtXHKztrtuLKOUDUSOo2EqpFQNRKqRgKngVA1EqpGXBmihIsSLkp4SOFwLHSuGdo+xFmXngUCBjYNMGHWBBzf4XhZM0he+Q7SmYEMr0eIOo5GSkHruAZaxzXwpiFAComUgKs4lPQUjU1FDnA8hxnnTiaLmtk3wqsIYZl/aTdzfvt6tDYYYzDaYLRFa4MxBqMNWluyJCNJcpIoJY0z4jgjjTOSKCVJcpIoJYkykjgljjLSOCOOUtIkJ4lSkjgjiTLSJCOupWht0NpgtMEYg9EWrQ3GGExu0NpgjOVQxlgwGp1rTpgAKQRKSaQjkVKilEQqgZQSqSRKSZQjCUIPz3fxQxc/cPFDD893CEIPL3AJQo8gdPECFz/08H0HP/TwApcgcPECFz/08AMXz3OQSiCVREqJUhKpBFJJpJQoJZFKIgRvLkLAggVQXw+Dg3DxxeRdXezv66Ojo4MtW7awefNm5s6dS3d3N57nMebMFhQ8pvR08KRag9GGLRsGqJZj/MDldOVwKtgqSRQRRYoDfF/TObmGcpoAj6NJ05x7H1zN86u3Ya1l1PTudt55w3yKRZ/ThbE5lWwHO2pPsbXyGPuSl8lMjWOhhEfJHc/4wkVMLF1Gsz8TTxYBwckWRRF33HEHzz33HFdddRWf+9zn6Ozs5I0ShiE33XQTO3fu5Gtf+xq33347F110EVOnTuVUOOecc/jyl7/Mn/zJn7By5UqMMRyqVqvx7LPP8vzzz/P3f//3dHV1MWfOHLq7uxk/fjxNTU2EYYiUkiRJ2L9/PwMDA2zevJm1a9fS29vL4OAgcRxzJOM7G/nsZy/lbdfuJq5+gTxbj9G7sHYEa1OOxT4TsC3zqJoBYICDCSRKOEjhoYSLIz08WSJUjYROIwWnmel1V9IezOJolKOYdeksHM8BAW2T21Ce4rjZGnn1++S1HyCEj8p7cYofRqjxgGDMf3EcRV0p4IByJUbnFiVcDmWxGDKUI1COw8lgjMVogzEGrQ1GW4w2GGPQ2mK0Ic80WZqTRBlJkpFEKWmSE0cpaZwRRylxLSWJM9I4I0kykigjjTPiKCVNcqJaQhrnJFFKluZobTDaoLXFGIPRBq0NRlu0NhhjsMbyKhaMtRijIdOcKCEEUgmUkkgpkUoilUApiZQSqSRKCVzfxfMdgtDD8x2C0MMLXPzQxfdd/NAjKHh4vksQuniBix96+L6DH3r4vktQ9PACFz9wUUqilERKiVQSqQRKSaSSSCVRSiKl4LTg+3D22WAtCIHQGmstW7dupaGhgWKxyDPPPMOGDRtYsGABHR0dSCkZc2aSUtA1vYOw4FEtxwzuGmZw1zDNbXWcrhxOAWv2Ua0Y8kxyQBDmjJscI2QzCJcjsRZWv7SDex9cTZLmjKqvC/mdpecxZVILpwNtU/anm9hWeYxt1ccZSbegbcrRCVxZoNmfzsTipYwvXEydNxElfE6ltWvX8tOf/pSWlhY+9alP0dXVxRutWCzy4Q9/mMcee4ynn36ae++9l9///d9HSsnJJqXk0ksv5etf/zpf+MIXeOKJJ8iyjMPJ85zBwUEGBwd59tlnkVLi+z6e56GUYpQxhizLSJKEPM85FkIIpk6dyn/7b7/H0rf9EpPfTpznHC+Dy07dTs24HI7FkNsUbMorNP+unwNC1cSU4kKOhRACL/Q4wCt4HD+Njh9C134ANsLaiLz2PWy+Caf0B0hvLuAw5j84jqRUF3BApRyT5xYpXA5H2wyLRSA4GaQUSKkAxYmyFowxGG0w2mKMQWuD0RatNcZYjDbkuSaJMtI4I4kykiQjjlKSWkqS5CRRShJnJFFKmuQkUUqSZMTVlCTJSKKMNM6Io5QkzshzjdEWow1aG4w2GG0wxqK1wWiDMQZreRVrLTq36NxwMkgpkEoipUQpgVQSqSRSSpQjkVLguArXdfBDFz9w8UMPz3cIQo+g4OH5LkHo4QUufuji+Q5B6OEFLmHBw/Nd/NDDDxz80MP1HJSSSCVRSiCVREqJUhKpBFJJlJQIKTghQjBKKcXs2bNpa2vjhRdeYNu2bXR2dqK1ZtmyZVxwwQXMmTMHIQRjzkyTutso1YdUyzG1SsK2vkFmnjuJ05XDqWCGqIxY8kzyCmupa8hoHadBNgOCI9k3XOWue1YwMFhmlFKSJYtnsOjCHqQU/CblNmY42cCW8sNsrz1OJduFsTlHIxD4qomOcB6TSpfTEc4ndFoQKE41ay2PPfYYO3bs4MYbb2ThwoUIIThW1WqVTZs20dPTQ6VSYc+ePUyfPh2lFMdr4sSJvPvd72b58uU88MADfPCDH6SxsZFTQSnFwoUL+fa3v81f//Vf85Of/IShoSGstRyJMYYoioiiiNcrCAIWLVrEZz/7WZYsWUSeQK3yIq+H651Ho3spKr2f3CYcrxa/m2Z/Km8Mi8lWk1f/Dmv28J9sgk4exejtuKWPoYLrQBQZA46jqKsLOCCqpaSJQYUeh2NshrUGISSnGyFAKYlSkpPBWovRFq0Nxhh0bjDGYLTFaIPWBqMNWZqTJDlJlBLXUtIkI44y0jgjiVOSOCeqJiRRShJnJFFGEqckcUYSZSRxRhKnJFFGluYYY9HaYLTBaIPWBmMsRhu0NhhtMMZyKGMsxmhAc6KEACklUgmkkkgpUUoilUQpiZQCqSTKkQShh+e7BAUXP/TwfRc/9PAChyD08AOXsOjjBy7F+pC5F0+jrbOR10tKSUdHB1dccQVbt25l5cqVpGmK4zhUq1XGnNkamouMm9hM/459JHHGtr5BtDYoJTkdOZwC1gxRLVt0LnmFhbbOiEJJImQzR5Jrw8OPr+O5F7ZirWXUtClt3HjDfEpFn9+U3EQMJevZXHmIHdUnqeb9WKs5GoEidFroLFzIlNJVtIZn48kSIHij1Go1Vq1axahFixZRX1/P8RgaGuL++++nvr6ebdu2sXr1arq6ugjDkOMlpWTRokW0traydu1a9uzZQ2NjI6eKlJKZM2fyF3/xFyxZsoTvfOc7PPvss1QqFU4F13WZNm0aH/jAB/jQhz5EV1cXUkqkuIq4dhfGDHA8hChRKLyPGe7l7Ix3sK22ArAcKykcJhbmE8h63ghWD5JX/g6TrQMsr2aw+ctkI1/G5L04hVsQqgMQvJVJKSgWfaQUGGPJc01Uy1AFl8PRNsNieCsQQqAcgXIkJ8paMMZgtMFoi9YGYwxGG7S2GG0wxqBzQ5bmxFFKEqUkcU4SpaRJRhxlpHFGHKUkcUYcpaRxThKlpElGHGWkcUYcp6RxThylZEmOMQatDUYbjLYYY9DaYLRFa43RFmstB7MWtDZozb/TnCgpBVJJGppL/PFX30tbZyMnynVduru76ezsZN26dTz44IP09PQghGDMmatQ9JnU3cYLT2/EWsu2TYPEtZRiXcDpyOGks2CGqI5Angv+g6V9fIwfOiCbOJKNmwa45/5VRHHKqGLR5x1vm0fX5BZ+EzJTZU/8ElsqD7Gz+ktq+SAWw9FI4VByJzChsIjJpctp8mfgygK/CXEcs3v3bgqFAlOmTEEIwfEwxrBx40b++Z//maGhIUqlEieivb2dtrY2du7cyd69e+np6eFUa2xs5L3vfS+XXHIJ9913H3feeScrVqxgaGgIrTUnQghBqVRi+vTpXH/99bzrXe9i9uzZ+L7PAY4zG8ebTxrfz/FQzhQcbx6+0845Te9ib7qJWj7EsQpVI+ML8xBCcioYmyGQCKF4hS1jbQWQgOFwrBkir/4jNu/DKX0c6Z4LKN7KwoKHUhJjNFoboihDChcQgOVgxqZYDGOOjxCglEQpyclgLRhtMMagtcFoi9EGYwxaG4yx6NyQpzlpkhNHKWmSEUcZaZyRRClJkhPXEpIoI4kz0iQjjlLSOCeJUpIkI4lS4lpGmmTEUYrODUYbjLHkmSbLNcKCsQajDVpbjDFgeRVjLMZodK5xPcXJIoSgUCgwb948du/ejRCCMWc213OY1N2G6zlkac6OzXuojEQU6wJORw4nm9VYs49qWZHnklFSWtrGR7i+g5DNvJZKNeHue59n6/YhRkkpuHjBVC5dOB0lJW8cS6rLDMYvsrnyALtqzxDnQ1gMR6OET4PXxaTS5UwqXka914USHr9J1lryPEcIgeu6vB4tLS1ceOGF7Ny5k02bNrF27VrGjRtHZ2cnQgiOh5QSx3Gw1pLnOW8UKSUTJ07kIx/5CO985ztZsWIFjz76KL/85S/ZuHEjw8PDRFGE1pojEUIQBAF1dXVMmDCB888/n8suu4xFixYxceJEPM/jUEI24AdXkyWPY22NY6XzTVRH/i+C8J20eXMYF5xFX+VJjlVbMIMmbzInk7YpsR5iX9LLYPwi4wsX0xHOZ5RwpuLVf5Gs8vfoeBnYCodlY3T8IFZvxSl+HBVcA6LAW1UYeiglyTKN1oYoSikJF4HEojmYtjlYC4Ixv0FCgHIkConLiTPGYozBaIPRFq0NxhiMNmhtMdqgtSFLc5IoJYlzdu/cx10/+hV5ktHWXk97ez2FgocEdK5J4owkykjijCROSaIMP/SoayxyskkpcRyHMW8Ok6a2ERY9sjRn/74qu7fvo2NCE6cjh5MuxeT7qJRdjBaM8vyc9vExQoYg6zkcYyy/fGYjjy/vRRvDqM6OBm68YT4N9SFvDEuiRxiIXmBTeRn90UoSPYzFcjTBHmltAAAgAElEQVSuLNLsz6CrdBXjixdTdMYhhcPpwPM8mpubSZKE/v5+jpdSinHjxjFnzhzq6upYt24dTz/9NM3Nzbz97W8nDEOOR7lcZmhoiCAIaGxs5I0mpaStrY3rrruOK6+8kn379rFt2zbWrVvHpk2b2L59O3v27GFkZIQkSbDW4nkexWKR5uZmOjs7mTJlCjNmzGDatGm0tLQQhiFCCF6bwPUWoZyp5NkajpW1VdL4QbL0aTIxBTePCUVObB0sR6aEx8TCeXiqxImzRPleBuPV7I5WMBitopLtJLM1tElpC85GCheQCGc6bv3/gXR6yGv/H1bvAiy/zmCydWQj/ycm34hTvBkh2wDBW00YeihHMkprQ1RLqRcOQgis5VUsORbLmDcXKQVSKnAUx6pzSiv/es/z9G4eZPdwjbrd+xk/sYmuKa1M7G5j0uQW2trrKYQerqsw1oKFYn3AmDFH0jmpmYbGIiP7akSVhG2bBpl7UTenI4djZrF6K1bvQoh6kHWAB8JDCBfwQDhYm5Knw1TLLgcEgaatMwY5HoTP4ezcPcy//HwlI+WYUb7ncP3V5zBreienniXRZQailfSV76M/WkmiRwDLkQk8WaItPJspddcyLjyf0GlBIDmdFAoFZs6cyV133cWKFSt43/veRxAEHKvW1lbe/va3U19fT09PDzfccAMvv/wyTU1NKKU4XqtWrWJwcJC5c+fS1tbGb5LrurS3t9Pe3s6CBQuw1pIkCUmSkOc5WmtGSSlRSuH7Pr7vo5TieEk1Hs+/nDxbB2iOncWaERxWcZYj6ZQ+O/ISu/MiVeNiEBxOwWlmfHguAsGJslg2lR9g9b7/l0yXsVgOGIifJ9J7KTrjOEDIZpzi7yGcaeTVb2HSVYDmcKzZQ179B2y+Eaf0caQ7G1C8lYShh1KSUVob4jhFogDBoYzNsRjGjCkUPCZ1tbJm9Xaq1YRqNWH3rmFWPrsJ13MoFn1a2+rpmtrKlKltdE1tY1JXC4W6gDFjjqTUENLZ1cK2TYOkac62vgGyVON6itONwzETYCro8v/A6m2AB7IeIZtANiJEE8gGQJHFm6mWmzmgUMxobksQog4wgAEkB6RpzrKHXuTljf2MEgLOmT2Ra6+Yg+sqTh1LossMRCvpKy+jP1pBokcAy5EJfFVPezCXKXXXMK6wAF81IRCcjhzHYfHixTQ1NfHggw/y8ssvc+6553KsgiBg0qRJjHJdl9bWVl5++WUaGxsRQnA89u/fz913302tVuOyyy6jqamJ04kQgiAICIKAk00IDy+4iji6E6P7eT1cYWhTEc0qZqo7ws68yM68xIjxyK3kYB3BWdR74zkZBJIGbzICgcVysHK6naF4PcXSOF5F+KjgSoSaSF79Djr+Bdgah2UjdLwMq7filD6O8q8EEfJW4XkOUkpGGWNJU40UDgLBoYzVgGXMGKkk7R0NKCXR2nCAtZAmOWmSs2+oSu/6XSglqW8ocOmSmXzw9y6luaXEmDGvJSz4TOpu45nH1mOtZVvfIFEtwfUKnG4cjoNwZiLDt5OX/28w/aDBcjABSLLEoVrp4ICmtoSgoDH5BtL9f4VyWhGyGWQjiCbWrPN54LGXyDLNqKbGIu/67fm0tZY4NSyJLjMQraSvvIz+aAWJHgEsRyIQ+KqJjsJ5dNddR1twLr6qBwSnu/PPP59LL72Ue+65hzvuuIMvfelL1NfX83pMnjyZzs5OlFI4jsOx0lqzbNkyli1bRldXF0uXLsV1Xd5KHOcsXPc8En0fJ0JhaZAJdV7KZKfMoA7ZmZfYq0MSq1DCZ2LhPDxZ4GRp8mdQ705mUK/mYJmp0B+tYHxxIUp4vJpEurNw6/8M6fSQ1/4nVg8All9nMNkasv1fwhY3oAo3IWQbr08O1oJwORM4rkIKwShjLVmmEUIhEBzKorHWMuatxVpIk4xKJWHPwAibNw2yaeMAL6zcgrWWoymWfK68Zg7vfPcFNDUXORWUUiilGHPmU45kUncbnu+QxBm7tw0xsq9KfWOB043D8RAOKliKzdaga3cCOQfEkUN5v4sQlmrZZWTY4xXW0tIW4wWaJOrnl8tX0tpUZUbXPjxPUK7V8a8/X8zAwDhGKSVZsngm5507GSEEoywGbVMc4QOC18+S6BEGoufpKy+jP1pBokcAy5EIJKHTQmfhAqaUrqU1nIMnS4DgTNHc3Mytt97Ks88+y/e+9z1mzJjBhz/8YcIw5HgppVBKcTyMMSxfvpyvfvWrVKtVPvGJT3DuuefyViNkPV5wNWnyGNbWOJQFysZDAgWZIbEcicRSlBlFmTHeqTJsfHbnBWqim3HhNEBwsgSqifZwHnviNVgMB1gs/dHzxPleim4nhyNkK07xIwhnGnnl25hsDaD5dRZrBsgq38HkfTjFjyHdWYDk2OXo+GGErEd6F3MmcF2FkIJR1liyLEfigJBgeRVjc8Ay5s3NWkjTjPJIzO5dw2x8eTcbevvZ1DfAnoERqpWEJMmwliMSQjCpq4X3fOBiLrviLApFn5POQhqn9EzrwfM80jjF9V2EEIw5c02a2kah5JPEGZWRiF3bhpg4tY3TjcPxkg2o4v+GyV7GZs8DllEvrWzme9+eRZZIXN+wc1uJ/yAY7C/y0L9OxitZ7nthDnurdVy2YANXXtRL75ZmfrWqCWN5RdfEZm645hzC0OOAWj7AlvLD9DQsxZN1HD9Lair011bQV76X/uh5Ej0CWI5EICk47UwoLmJK3dU0+7NwZYEzkRCCyy+/nE9+8pN85Stf4Stf+QpCCG6++Wbq6uo4lfI858knn+Tzn/88a9as4aorruXt1/8OI/tiysSAQEheIRAIAQjBKCEEozzfoVDyEUJwZhO43kKU002evcihEuuwOmmjZhwmumUmOBVKMkNiORpPaNpVjVYVkZOhat8mMdfieuchVTvgcCKkcOgIz2PDyL+S6P0crJLtYG+yjqLbyWsSASq4FqEmkVf+Dp08BDbisGyEjn6OzbfglH4f5V8OIuDoLCZ9gbzydVRwA9K7CBCc7lxXIaVglDGWPNNIoRAIDmVsjsUy5s3FWkiTjJGRiF07h+nb0E/fhn76Ngww0L+fSiUhS3OOh+c5zFswhfffvIjZZ09EOZJTwRjDhmc24PouxjNs3LiRGQtnoBzFmDNX27gGGptL7NtTIaql7Ni8hwsum8npxuF1EM40nNJHyff/d6wZYFTruIio5rJre5FXEbBuTQsb1jejAqhNbCL2Qu56cC6/fGEquZZUaj6jgsDl+mvOYUpXK//F0l9bwfr9P6bkdjK5tAQQHKvMVBmIXqCvvIxdtV+R6P2A5UgEkoLTzoTiYqbWXUuzPxNHBpzpgiDgox/9KMPDw3zrW9/itttuo6+vj49//ONMnToVKSUn2/DwMP/yL//CX/3VX9Hb28vVV13NB999K9/7myfYP1RllJACR0kQAikFSklGSSmRSiCl4PIb5nL9ey9COYIznVSdeP4S8mwtoDnAArvyIgM6JLeSkcRja1bPBKfMRLdCnUxRWI5GYvHYTxrdRZY8gONMx/OvwPOXoNwehCgBgtej2Z9OvdfFYLSKg2WmSn+0ggnFxSjh8dok0p2N23AbstZDXv0+1gxyeBqTrSIb+e/Yws2owvsQsoUjsXoXeeXbmGwdwpkJNgJR4HTnOBIh+E95bgAFCA5l0IBlzJkvzzSVSkz/rv30vryb9Wt3srF3N4MDZaqVmCzTHI5SkrDgUd8QMn5CM/uHq/Su383BGhoKXHv9ubzj3RfQ3lGPEIJTRSpJ6+RWnr37WaQjmf+2+ShHMebMVigFdE5uYdPLu8kzzY4te8nSHNdzOJ04vC4S6S9BFl5CV/8BbEJbR0TP7GF2bS9yKGsFWSZwi5qgqIkzyLVk2+5GDnbWjE6WLJ6JoyQHpKbCturjVLPdbBj5V9qCcwmdFo4mMzX2xC/SV17GzupyYr0PsByJQFJw2plQXMzUumtp9mfgyJA3k6amJv70T/+UxsZGvvGNb3D77bezfPlyPvrRj3LttdfS0dGBlJITYa2lXC7z3HPP8d3vfpef/exnpGnKe9/7Xv7sz/6MqVO6qQ9X8P1vPsTw3gpH09hcpHNSC8qRvBkI4eH6SxC1H2HNIAdE1mFLVkduJaMMghHjUUlb2MdUzqvvodFuJs/WYG0FsByZxZoRsvQ5smwVUe0HuN4FeP4SXO98pOpEiIDj4atGOsL57IlexGI4wGIZiF4gyvdQcsdzZAIh23CKtyJUN3n17zDZOsDw6yxW7yKrfAuTb8Qp3Yp0pgOSQ1lbIa/+Izp9AjDYvA9rKghV4LQnBCA4wAISB4HgUNbmWAxjzjzGGKqVhIH+ETb27mbjhgE29u5mx7YhRkYi0iTncJSSFEs+La11TOluY2p3O1O625g0uYX6xgKPPLCGLZseJE1zpBRM7mrlPTddzCVLZlEo+LwR6tvqsdaSJzkNbQ2MOfMFBY8JXS0IIbDWsnPLHqJaius5nE4cXi8RogofwGYvYZLHCAo5c+bv5enHxpEmikMpZThv4QAvZfUMD3JYSZLTu2mAYsGnUPAYtS/pZTBejcUyEL3A9uoT9DQsRSA5nNzE7E1eom9kGTtqTxHne7FYjkQgKbodTCguZkrpGpr9GTgy5M2qsbGRT37yk8yYMYOvf/3rLF++nNWrV3PBBRewdOlSLr/8crq6uqirq0MpxbGw1hJFEf39/fzqV7/innvu4ZFHHmFgYIDu7m4+8pGPcMstt9DW1oYQgqvfeR5pnPHD7zxKeX+N1yTgrPldzDxnIm8Ollq+j77aRmTu0CZ5hQV25SX2mYCDOcKns3Au5za9i/HhOShbJkt/SRL9nCx9DmP2AIajshlG7yCJdpLGD6DUJFz/Qjx/CY57LlK2gnA5GikcOsLz6FV3k+hhDlbOdrA3WUvJHc8xESEqvB7hdJFXvo1OHgUbc1i2io7uxurNOKU/QHmXgPD5Lzkmuhcd/QRswihrdmPNboRq50wjACkUIDiUsRqsZczpz1pIkoz9wzW2bt7DujU7WL9uJ5v6BhkZrpEkGdbyaxxHUSz5tLSU6OpuZ1pPO909HUzqaqGhoUAQugghOGDqtHYKRZ9RCy7s5n03L2LW7PEoJXkjWGvZ8dIOSs0lRu1Yt4PuBd0IKRhz5lJKMr6rFc93SOKM3dv3UdkfUd9Y4HTicAKE6kSVbsXqzZBvYtY5QzS1JvTvKHCocROqXHLtTl68dzqvZe3Lu/jLv72fi8/v5oZrzmHG9Ba2V58gzocYlZkaG8s/p7NwASV3PAfTNmFvvJ7N5fvZXn2CWj6IxXAkAknR7WBi8RKm1F1Dkz8DRwS8FYRhyNKlS5k7dy4/+clP+NGPfsRTTz3FE088QWdnJ/PmzWPevHnMmjWLKVOm0NraShAEKKUYZYwhyzKGh4fZtm0bvb29rF69mueee45NmzYRxzETJkzgYx/7GB/60IeYN28enudxQBB6/NZ7LqRWTfiX7z5BrZJwOFIIinUBlZGIQilAOZIzlbYpu6IXWb3vLrbXVjBBWZp8iSMMNeOyJasjt5JRAkmDN55Z9W9jRv3VFN02BAIo4ofvxPOvIM/WkMQPkCaPYvRWrE04Oou1VfJ8HXn+MnF0N8rpxvMW4/mXodyzkLIRkLyWJq+HBm8KA9HzHCwzNXbVnmFCcTGOCDg2Cumeg1v/RURtGrr2I6zZw+FpTLqSbP9t2MItqMJ7ELIJsJh0BVn1/8GafRxgTRmb94F7Lqc9y6sJEMJBCMGhDDkWy5jTk9aGSjlmoH8/69fuYt2aHfS+vIs9A2UqlQRjDIdSSlIo+rS0lJja086MmZ1MmzGOCROaqKsPCUIXIQSvZVxnA1O625gxq5N3/M4FtLXXIwRvGJ1rsjhjzuVzsNayd/tetNY40mHMmW1CVwthwSOJMyojEf079jG+q4XTicMJEUj3PFThd8nL/4P28TV6Zg3Tv6PAwRzHsPiqnXRMishzxWux1jK0r8qjT6ynVPBpHjeBndWnsRgOGIrXs6XyMGc1vh8pHIzNGE772FRextbKY1Sz3VgMRyKQFNx2JhUvZUrdNTT5M3BEwFuNlJIpU6bwmc98hhtvvJGHHnqI+++/nxUrVnD//ffzs5/9jEKhQKFQoFgsUl9fTxAESClJkoRyuUylUiGKIiqVCqOampqYN28eV111Fb/1W7/F2WefTaFQ4HAKJZ93fGgRcZTy8x8+TVxLOZQxlseXrWbrhgEuuvIsLl4yiwlT2/ADlzOFxTCS7Wb9/mWsH/kFlWwAi2WQkLJxaVQpO/ISwzpglCeLdJUu4pzGG2kLZqKEy6sJhGzE9RfjeOcT6A+QxY9Tjn6Gzl7EIQUMR2ewZj95upI8XUVc+yGOezaufymevxCluhCyHpAczFcNdITnMRivxlrNf7EMRC9Qywao9yZz7ARCjcMt/QHS6SGv/B0m7wUMv85i9U6yyt9i9Ebc4v8OwiOvfAub9/EqNsbkG1Bo/n/24CzIzvM+8PPv/77v952lzzm9742tsTX2leAuipJMSZEp2ZFje2zHY7uSilNZpnKTSi5TSeUqN3ORXEy5KjNz4XFmJvFEsWSJEiVSoEgABEDs+9bobqDR6L37bN/3Lkkrag8MUyQaBAmAPM8DmidbAAL3UihAuF8IHgg0PDmSxDI3W+HmjUnOnBrh3JlRRoanmJ+rUK9b7ici5PIxLa15Vq/pYPOWPjYN9bJ6TQfNLXmyuQgR4UG1tDTx5//1b9DX10ouH/NZM8aw8bmNKKNY0tbfhjaahqdfV18LpdYmZqfLVCsJY8OT7HlhA08SwyclESr3HXR6jpz/a7bunuLIwR7SRLGsf/UCL782Rj1kcV74dUSErs4ir399F9/82jYm5UcspKPcy4U61xd+SG/+AFpibiz8mBuLP2ExHcUHx0cRFDnTTn/TSwwWv0FbdjNGsnzRGWNYv34969at43d/93e5fv06H3zwAWfOnOHy5cuMjIwwMzPD+Pg4zjmWKKUwxlAoFNi8eTODg4Ns3bqVPXv2MDQ0RHt7O1EU8XGKzXl+58++RK2S8OO/PkZSt9yvXku5dGaUaxdv89P/+wP2vbyJF1/bxvqhPvKFLCI8sRJf5mb5CKdn/h0TtfO4kLKs6g3jrgktgZu2SBBDZ2Y921peZ7DwMlndzMcRyWDMZkxhI/XoWWYrb1FUU6TJOzg7TAgVHozD+0mS+lukybtUyx2YaBtx/DxR5lm0XouoEqBQYujN7+Py3L+j5qa5V9mOc7d2ilK8ChBWRPLo3OuIXoNd/N9wyUEIdT5UWMRV/i+CvYqodlzyHuD5+zzBXiWECiJFnmTeBwj8HSUCIny4QMPjFUKgVk2Zmlrg8sVxzpwc4cK5Me7cnmNxsYZznvtFsaFYzNI30MqWbf0Mbeln3fouWtuayDdlUEp4WHHGsH5DN4+NgI40y3Skafh8aCpk6Rlo4+bVCdLEMjY8hU0dJtI8KQyPgKgWdOHP8PYSW3YN09Ja5+6dHEuiyPPy18foW13mwo1mvFd8mCjS7Nw6wO//h8+we/sqvF7g5PhBXKhzv7nkBsfu/lMSv8Bsch0fUj6KIGRNG3355xksfoOO7DaMytHw9ymlaGlpYc+ePezZs4ckSSiXy1QqFRYXF5mbm6Ner+O9J45jCoUCzc3N5HI5CoUC2WwWEWGlWtoL/P6fv0qtmvD2D05hU8eSzt4WBtZ2cO3ibeZnKtjUMTY8ye2Rad554wzb963lpde2s33/WprbCiglPCl8cEwnNzg7+z2uLbxN1c1xP49wyxaoB0MqPWxreZVtza/TGq9GRLMyiubMNgrxJjTg3S3S5BBJ/WekyTG8uws4HkQICcHdInG3SOtvI+UOTLSdOPMSUfwsWq+mOV5Ha2YDtytHuJf1VW5XjrK68BUilWflNCreTdT8PyCVf4Gr/FuCn+bDWXxyDBAg8GGCvQ5+HnSRJ1maOrwPLBERotggCILwYQINnzXvA+VyndtjM5w7M8r5s2NcvnibqbuLVKsJIQTupZSQy8d0dJbYuLmHzVv62LS5l97+VoqlLMZoGhqedNl8TP+adhAgwNjwJNVKQrE5x5PC8IiI2Ygp/Kd0D/zPrNs0x907OZasHpznxa/eRkdNJDyLC02A516tLXm+/pVt/NY3d9PT3YyIMFo+x1T9Ah/GB8t49RgfT8jqFvryz7Ku9A06szuIVBMNDyaOY+I4prW1lU9bR3czf/Rffo16LeW9N89BgC9/axe/9ccvcvX8Ld798Vk+eO8Kk3fmcNYzPTHPwR+e4vgvLrNxWz8v/MY29r24kc6+FozRPE4upFxZ+Bknpv8PZpJhfHD8OguhSCl6jpdbvstAfh+RyvGwBIWRDEu0WYc2a8lk/wOsvUBS+xlJ8g7OXiP4eSDwIEJICO4WibtFWn8bpbow0U5M5jm64xamqkIaAoF/b7J2hsX0Fq2ZDTwcQXQfUeG/QpkNpIv/jGCvAZ4PF/h1gp8kuDFE9/MkS+oW7wNLlBLi2IAIHyYQaPhseB9YXKwxenOKs6dGOH1yhKuX7zAzs0iaOO5njKbUnGP12g62bO1n01Avgxu7aW1rIpuNEaGh4aliIk3f2g6iyJAmlvGRaSqLNYrNOZ4UhkdGoTJfpth1li27f86x9zxaBV75xijdAwbd9Eek+kt4/x5QZ4nWik3ru/m939rPc/sHyeVilthQY7R8kMTN83CEjC7Rk9vPYOmbdOV2E6sCDU+27v42/vE/eY2kZhm5NsELX9tKW2eRts7N7Ni/jhuX73Dop+c4/NYFbg1PktQti/NVPnjvCuc+GOZHg10895UtPPvqFlYNdpLJRjwOgrCYTjCbjOKD48MIQjHqYXPz1xkqfZ1C1I0gPFqCqGai+FmiaC85/8fY9DRJ/W3S+iGcGyGEKhB4ECHUcW4E50ZI6m/SQYbtmZRpFzPjMlSCwQZFxd5lonqClsx6BOGhSQGd+21Er8Mu/q+45F0ICSsRQhlvr6LiAzzJ6onFe88SpYU4Ngi/TgACDZ8O5zwL81VGb05z+tRNzp4a4erlO8zOVLDWcS8RyGQjWlsLrN/YzdbtA2zZ3s/AqjaKpRxaKxoannZ9q9vI5WPSxLIwV2Xyzhzd/a08KQyPkuQxTX/A9gO3Kf2rKp3dFZ77So249J+g8/8x9XQM5wNLCk0ZXnlxM7/z7X2sXdWOUsKy+eQm45WjBAIrFakCXbldbCi9Tk9uL7EuAkLDk08E+td28I//m9e4cOImazf2sCybjxnatYr1W3r56nf2cvTnF3n3zXNcu3CbSrlGvZZy5dwYNy6P89PvfcDeFzfy4m9sY8O2fpqKOUT4zCgxbCx9lZHKUW5VTgGBe0Uqz6qm/exs+W26c1vREvOpkwil+4h1H1HmFby7RZq8T1o/SJocw/s7hFDnQYVQw1CjS0OHrpIExaKPmHEZZnyG6eoh0uLXiHULn4xBxfuImv9HpPzPcdX/k+BneWChTrBXIKQgEU+qJLF4H1iilCKONeBo+Gx4H1hcqHJzeIqTx4c5cfwGN29MMj9XwVrPvUSEfFNMV3czm7f0sX3XKjYP9dHZVSSfzyBKaGj4POnqayVfyDI/W6FWSbg9MsO2vWt5UhgeMdF99G/+AwaH/or9L07Rs+FP0U2/B1KgVrsBIbB2dQff/c29vPryZoqFLPcKwXGrfIiyvcNKRCpPR3Yr64rfpL/pebK6FRAani4iwrpNPawe7MJEmvtFsWHVYCf9a9r50jd3curINQ7+6DTnPxhmbraCTR23bk4xPjrNL358lu371/Lad/ez57kNaKN4UM45Ll68SG9vL5lMhmvXrrFhwway2SwPohh1s6Plt5mpD1N1syxRommN17Ct5XXWF79MTjcDwmdNJIs2g2izjkzuWzg7TJq8R1J7G2vP4v00hJQHpQhkxZHVjnZdJw2KJPyE2mIJsq9gzCZEtSGS4eEIogcwxX+CmDXYhX9K8FM8mECwVwmhjEgLT6paNcE5zxKthGw2IoSUDyeA0PDJhBAoL9YZHZnm9ImbfHDsOlev3GF+toK1nnspJTQ1Zejpa2HbjlXs3LOGjZt6aGlrIpuNaGj4PCuUcnT2NDM+Ok29njI+Mo33AaWEJ4HhIVlrWVxcpFwuMz8/z/z8POVymTRNcTZh1Z4iuf4hzl3bRkvLFPl8lSRJePHZDXz39b1s3tCD1or7Vd0UY5Vf4EPKg2qO1zDU8nsMNL1MzrQjKBqeXiKCiTQfRWlFe3eJL//mLva/vIlLZ0Z5540zfPDeFSbH53DWMzO5wLs/Pkvfmg52P7uelbDW8uabb/L888/T2trKD3/4Q/7kT/6EbDbLgxAUq5qeYX3xFc7NfZ+MamJd8Utsa3md9ngQJZrHTxApYKJtmGgLmdx3cfYyaXKYtP4e1p7H+xkIKQ9KCMTiiLlLvfwXpNV/g9KrieI9RPE+TLQTpbsRaQKElRBpQnQ/oFkJ74bBz4Jq4Um1uFjHWs8SYzRNhSyBMoHA/RQKoeFhhBCoVBJuj81w5tQIJ47f4NL528zOlElTx72UVhQLWXoHWtmxcxU796xhcEM3La154tjQ0PBFkcvF9Kxq4/TR6wQfGB+dJqmlZPMxTwLDCqRpyuTkJMPDw9y5cwfvPVprSqUSpVKJ/v5+oihCRBga2ky1WmV2bpHR0TOkacrk5AJbB1vJmBr1eo18Ps/fF5ionmSmfpWVyOhW+pteJG86afhiERGKLXn2vbSJbfvWcvPKBO/99BxH3rrA6PVJii059r20ERNpVmpmZobvfe97NDU1MTY2RgiBlYhVnm0t38aFlFVNz7C66Rli1cSTSaFUKyo+QBTvw+f/EGevkCaHSOuHsOk5vJ8BLA/O4f003k9j05PUKv8apbsx0U6i+BmieC9ar0ZUEdB8nM1YinEAACAASURBVGCvYxf/GcHfZUX8LN4No81anlSLizWsdSwxRlMoZAHPhxIFCA0PLkksd+/Mc/rETY6+f42L524xPbVIkljupZRQKGZZs7aTnXtWs2PXatas66S5JU8UaRoavojirKF3oA2lBO8Dt0emqVYTsvmYJ4HhAdRqNW7cuMGlS5dwzjEwMMAzzzxDS0sLuVwOEeHjJEnC/Pw8ExMTXLhwnhMnPmBgYIChoSFKpRIiQuorjJQPkvoyKzFdv8RY+RdsbP4Ogqbhiymbi9m0Y4DBoV6++u09HD14iVo1Yf1QHw8jm82yYcMGmpubKZfLPIy2zFpe7PoviFQWQfF00CjVhooPEMX78Pk/xKUXSZNDJMl7uPQS3s8ClgcXCKGMs9dw9hpJ7W8R1Y6JthBFezDxbozZjKh2RDLcL/hZbPkv8MkxILASIZQJ9gpkvgQIT5oQAgsLNZzzLDGRplDMEoIHAvcTFCA0fDTnPHOzFa5cGufo4aucOD7M7bEZarWUe4kITU0Z+le1sXP3anbtXcPGzb00t+TRWtHQ8EUnIvSsaiWTjahWEqYm5lmYrdDaXuBJYPgI3ntu3rzJyZMnieOY3bt309PTQxzHrFQcx3R0dNDR0cHQ0BDT09NcvHiRN954gw0bNrB161bmw1UmqieAwEpYX+Hq/A/ozR+gGA3Q8MVmIs3Auk76VrdjrSeODSslIjQ3N7NlyxZaW1s5f/48SilWSlDEKs/TS6NUOyrzAlHmAFn/x7j0ImnyPmlyBGsv4v00hISVCKFOcLdI3C2S2lsoVULp1UTxLky0GxPtROs+RBUhWFz13+KqfwNYViykBHsVQh0ky5PGWs/iQo1luVxENmOo4wkhcD9B0fDhQghUygkjN6f44Oh1jh65xo1rd1lcqOJ9YJmIkMtF9PS1smP3anbtWcPmLb20thWIIk1DQ8Pf1zPQRjafoVpJqCzWmbg1y+r1XTwJDL9GrVbj2LFj3Llzhz179rB69Wq01jwKSik6Ojpob29nenqa48eP88aPf0jL1mvU/RwPY6Z+iRsLP2Fb6x+hxNDQoLQi1oqHYYzhW9/6Fs3NzWit+fa3v02pVOKLzaBUByrTQZR5Du/ncPYGaXKE+cr3SdNTxOJQBFbG4f0M3s9g01OI/BuU6kRHm4nifWjJ4sv/HMIiD8vbq4SwiEiWJ02aWubnKiwrFnOYSFMNFgjcT4lBRNHw79nUMTExz8njwxw9fJUL58aYnipjreNeccbQ3dPMjl2r2b13LUPb+mjvKBLHhoaGhl+vvbtEqSXPzOQCtWrC7ZFpnhSGD1Eulzl48CBRFPHaa69RKBT4NIgI7e3tvPrqq1y4eI4jx86weuvrFDsDi+kYZTtO4uZJQxXn6wQ8v44LCTcW3mCg6UVaMxtpaPgklFIMDAwwOzvL9evX2bp1K8YYGpZplGpDxW1E8W5mWc+Zu/8TeaZo1XWaVUJGHFoCKxMIoYpzN3HuJkntZ4hEqFBHCSgUGkEQhAclBDcOfgZUB0+apG6ZmlpkWVt7E3Fs8D4l4LmfkghB+KILIVBerHP92gRH3rvK0cNXGb05Ra2Wci+tFS2teTYN9bH/2UF27llDb18LmUxEQ0PDg8nlM3T3tzJ85Q5pYhkfncZahzGax81wn1qtxsGDBykWixw4cIAoivi0GWPYtnUHuWwTx48fY9uXXqCtp4j1FSpuksV0jIV0jMX0FovpGGU7QerLWF/FhRQIuLpiqjrKtfwP2d2xGi0ZGp5eIQSCD4QQ8D4QQiD4QAgQfMCHQPCBEALBB0IIeB8IIRBCYEmxJU+cifgk5ufnuXjxIps3b8YYQ8OHUbRkdyFmEzdrp7nlmsiKpVkltOiEVu0oKA2hAnhWxhKCxQEu8P/xCIJGUCIoBE2EqHaU7gQpIFIA1YRIE0gTooqg2kFKPIlqtZTp6TLL2tuLZDIGV0kJBO6nJUJQfFHZ1HH37gKnPhjm8LuXOXdmjNmZMs55lokITYUMq9d0sPeZdex7Zh1r1nVSKGYRERoaGlYmm4vpGWhl2Z2xGerVFFPUPG6Ge3jvOXHiBFEUceDAAaIo4rMiIgwODpIkCUcOHeO1116jKddMU9RLZ3YHgYDzdWyokrh5Fu04C8kYEzNXuXD6Eud+WqZljaX9tw+zuvhlOrM7aHgAAXzwBA8hBLwPhBAIIRB8IPhACAHvAyEEQggEHwgh4H0g+EAIELzH+4CzDms9NrU467Gpw1qHSx02dTjnSROLsx5nHc56bGqx1uOsI00czjqSeoqzHps6nHXY1GGtw1mPTR3OOmzqsNbhUo+zDps6rHU468jkYv70v3ud7QcG+SRCCHjvafhoWd1Gb/4ZJuvnsMGxGCIWfcS4zdMctXCg7bvkmSZNj+PsFbyfgZDwMAIBS4AAAohkMbqPKN6LiXajo40o1Y5IEcQAGhA+VrUKp0/D3bvQ3AyDgzAzA5s2wd27UK3C+vU8arMzFaqVhCVKK9o7Chij8SElBM/9lBgE4YskBCiXa1y/MsGRQ1c4duQaozenqVYT7hXHhp7eFnbuXcO+Z9YxtLWf1tYmtFE0NDQ8vCjWdPW1oI3CWc/ErVlq1YSmYpbHzXCPiYkJRkdH+frXv04URXzWRIRNmzZx+/Ztzp49y759+xARlgiCUVkMWWJpwc21cf1olne+P8epQ1PMTTbx9T/dyvbWQbTEQACEJ0UIgRACwQe8D4QQCD4QAoQQCD7gQyD4QAiB4AMhBLwPhBAIPhBCwPuAsw5nPc56rHXY1OGsx6YWZx3Wemxicc5jE4e1Dmcdznls4rDW4azDJg7nPDa1WOtxqcOmDuc8zjqsddjE4ZzHJhZrPc46bGJxzpOmDpc6rPXY1OJ9IPhACIHgAyEEvA+EEAg+EEIghID3geADIQRCgOA9IYD3geADIQRCCHwSheY85fkqDZ8NJYbe/AEuz3+Pqp1kmUOYszWmQxsdpT8lhDmcvU6aHMMm72PtebybJIQKEFipAISwSJIcIU0/QKQZpXsx0VaieD9x5sso3cfH8h6OHYMjR2DnTjh6FE6dgkoF2tvhxAmYnob163nUJqcWqCcpS+LY0N5RZIkjBTz3UxKBKL4IvA/MTpc5ffImB9+6wJlTI8zOlHHOs0xEKJayrN/Yw/MvbmTvM4P09LWQyRgaGhoene6+VjLZmMpijdmpRRZmK7R3lXjcDL8SQuDs2bNs2rSJYrHIigVwzqGUYon3Hm00K6W1ZufOnbz99tts2bKFpqYmljnruHtrluM/v8g7PzjB5dOjlOerhBBYkgkd9GdfQWtNmjqChxACwQdCCAQf8CEQfCCEQPCBEALeB0IIBB8IIRB8IARw1pGmDu881jqc9djE4pwnTS0u9TjrSBOHcx6bWlzqcM7jrCdNLS712NRircM5j00czjqs9djU4qzHWYeznjSxOOexqcOlDmsdNnU467GpxVqPSx3ee0IIBA8hBLwPhBAIPhBCIISA94EQAsEHgg+EEAgh4H0ghEDwAe8DTxsRQZSgRBAliAiiBBFBKRARRAlNpSyihIbPTnO8jvbMZkbtJPdyoc7t8mHWFV8jVh2ouIMo3kfwf4D346TpGWxynDQ9gbc38WEOgmWlQkgJYRLvJ7HpaZL6Wyg9QKz7+FjWwpUrsGULvPoqaA0/+AFMTsJf/RUMD8OWLXwa7k7Mk9QtSzKxoaOjwBLnEwKe+2mJERSfZ2nqGL81y9HDV3n34EWuXLpDuVwjBP5OFGu6u5vZvW8tB57fwNDWfppb8iglNDQ0PHpdfS1kcxGVxRrVasLE7TnWburhcTP8SrlcZn5+nn379vEwnHVcO3aNprYmCFAr11i7ay1KK1aqra2NXC7HxMQE69atI6mljFy9w+GfnOXQj88ycnmcWjXhfueOXudf/i8/IHiw1uJSj7UOlzqsddjU4azHWodLHdY6bOpw1mNTh7MOmzqsdQQfCCHgfSCEQAiB4CF4Twjggyd4CCEQfCCEgPeB4AMhBEIIBB/wIRB84KkjoEQQJYgISgkigihBRBAlKCWICCKCiCBKEBGUEkQEUaCUwkQabTQm0hij0ZHCGI2ONMZotNGYSGMihTYaYzQ60hijMUahI40xGh1pjNGYSKONwhiNiTTaaHSkMUZjIoU2mkw2Yt2WPj4ppRSZTIaGjxfrIr35Z7ldeR8XEu41Wb/AbP06Xbld/P8UokpoVUKbTYTstwh+BmevkaYfYJPj2PQc3k8SQhUIrJRICa1X80BEQAQWFsBamJ8HraGrC559FvJ5UAqGhyFNYe1aMIZPKk0dt8ZmSVPHknxThs7OEktsqOKD535GsijRfB5VKgnD1+/y7sFLHH73MmOj0yR1yzIRoVjKsn5DNwde2MC+Zwbp628lk41oaGj4dLV2FCi25Jm+u0C9mjJxa4YngeFXFhcXERFKpRIPQxlFnI85/ZPTRHHE0MtDiBIehlKKnp4erl8dZv625d0fneLYWxe4MzqNTR2/zuVTI1w+NcLTREQQEUQJSgkiIEohAkoJIoIoQUQQJYgIIoJSgoggShARlBK00WijMJHGGI02Cq0VJjZoozFGYWKD1goTa4zRaKMxkUYbhYkMJlIYo1FaYSKDMQptNCbWaK2IIoOONNoootigtUIbhTYaExm0UZhIY4xGR4ooMiitUEoQEUQJIoIoQYkgShARRAkioJQgIogSRARRghJBRBAlfFa89UzcmCCby7J903ZmRmfoWtuF0oqGDycoevL7yJtuFtIR7lV309yuvE9HdjtKNPcTySC6B6V7iDLPEfwizo1h09PY9BQ2PY1zNwl+lhASHoSJtqB0Bw/EGNixA77/ffjLv4Txcdi3D+7ehe3boV6H69fh2DGYnITvfhfa2/mkatWEsbFplnV3lygWswQ81teAwP2MyiFoPi9CCMzPVTl7eoR33r7IyePDTE0u4JxnmTaKzs4Se/av5YWXN7N5Sx/NLXmUEhoaGj4b2XxMV28zw5fvkKaWO2OzOOfRWvE4GX7FWovWGqUUD0NE6Fzbyck3TrKkfVU7IsLDKpVKHH3nDO9fvskH71xifqZM8IGHIqBEEBEQQSlBRBAlKCWICKIEEUEUKFGIgChBRBAliAhKCSKCNhoTa7RWRJFBRwptNForTGQwkUIbTRRptFGYyKCNRkeKKDJorTCxxhiNNhqlFVGs0UZjjMJEBm0UJjJoozCRxkQabRTaaIzRmEijjcJEBmMUJtKIUogISgkigigQEUQJIoKIoJQgIogSRAkiglKCiCBKUCKIEr7wBGZvzzI9No3SClkryDqh4aMVTB9duZ0spKNAYJkPjvHqETa675A3nXw0hagSRpUw0RZC+A7Bz+HcMDb9gDQ5iU3P4f1tgi8Dnn/IYKLtiOR5ICKwfTvkcjA+Ds89B319MD8PuRzs3Alr18K5c1AqQRTxKJTLdcZvz7Ksr7+VbC7GB4cNVT6MUVlEFE877wPTU4ucPH6Dt948x7kzoyzM1wghsCzOGAZWtfHsCxt54eVNrF3XSTYX09DQ8NnLZGO6+lr5pQATt2aoV1PyhQyPk+FXRIQQAg8r+MDdG3fJl/KIEqZGpujd1IuI8DCccwxu6WPfPzrA5VMjHH3rPKfeu8L4yDT1asKH6R5YZMu+CTJZRza/k2z+eUwUobRCG43WCm0UJjIYo9CRxkQGrRVRrNFGoyNFFBm0Vmij0UYRxQalFVGs0UYjIigliAiiBBFBlCACSgRRgoggShARlBJEBFGCKEFEUEoQERqeTEorBrYNcOnQJTL5DLu+sQtRQsNHMypHX/45bi6+RerL3Gs2uc5U7Rz5wiushEgG0V0o3UUU7yebL+PdXaw9j01OYtPTOHsF72cIoQoElCphoh2A4oHFMWzZAkNDIMIvNTfzS21tkMlApQKtraA1j8LExDzz81WWaK3o728ljg2OGtbXuJ8gGMkhKJ5WznnujM9x5N0rHHzrPFcu36FSrrNMBJoKWTYN9fLCS5vYd2CQ7t4WokjT0NDw+ESxoauvBa0Vznkmbs1SryXkCxkeJ8OvxHGM9540TYmiiJWyqWXuzhxbv7yVtJYyc3uG7sFudKR5GFNTU7R3tNPaWeLAV7ex+8VNTIzNcPrQFd7/2TkunrjO3FQZ5/g7qzfO8h/952doKkYUW/6YbNNvopSioeFh1BZrmMiAQL1cJ1fM0fDxOrPbKUWrmKpf4F6pW2Ss8h69Tc9iJMvDEUQKaFNAm3Vksq/h/QLe3cKmZ7HpKWx6GpEsxmzgoYjwofJ5eP11fimOeRTGRmeoVlKWZLMRfQNtiEDwDuur3E9EY1SWp5G1jtu3Zjn0ziXe/ul5blyboF63LFNKaGsvsGP3al760hDbd6+ipaUJpYSGhobHTwS6+1qJsxHVcp3pyQUW5qq0dhR5nAy/UiqVWDI9PU13dzcrZWLD0EtDmIyBADaxKKN4GGmaMjExwbPPPsuyOBsxsL6N3jXrOPDVO1w5c5gT79zi9OF2bg8XqZYjQhC08cTZVWRyB1BK0dDwMGxiGTkzwuD+QdJ6ysjZEYodRbTRNHy0nOmgJ7+f6folAp5lgcCd6nEW0zFa4vU8GgalWlGqFRNtI4TvEPwcIVRQqpNHSgQyGR4Vax3DN+6SJClLmgoZ+vtbWeKDJfGL3E9hiFUTT5M0dYyNTvOLty9y8GfnGbk5RZJYlhmj6Opp5sBzG3j51S2s39hNPp9BhIaGhidMV18L2VxEtVynVkmYHJ9j9fouHifDr2QyGfr7+7l06RJdXV2ICCshIsS5mGVxLuZhjY2NoZSivb0d8Hg/j7MXSOoHSevvELjC4NY51mwSXvlOlqtn2jjxbi/ZrENQRPHzKN1HQ8PDEiWs3b2WptYmvPdU56uICA0fT0lEX9PzXJv/W6puinuV03FuV47SHK9DUDxqIhlEd/E0qJQTrl+/Swj8Um9vC23tBZb4YEn8AvdTYohVkaeBTR2jo9P8/KfnOfjWecZGpklTx7IoNvQPtPLCy5t56ZUhVq/tIJMxNDQ0PLlaOwrkC1lmJhep11Im78zzuBnuMTQ0xBtvvMGtW7fo7+/ncahWq5w4cYLt29ej5ArV8nsk9YPY5CTeTwGOZdoE2rsrtHdX2PnCOLWKIdvURJx5BZEMDQ0PSxtNa18ry7JNWRoeXGu8gfbsFkbL73AvFxJuld9lXfE1srqVL7Lp6UXGRmdYtnZdJ035DEs8KYlb5H5KDLEu8CSz1jE2Ms3Pf3aen//sPKMj09jUsSzOGNas7eBLX9nKCy9tore/lSjSNDQ0PPly+QztnUXGbkySJJa743OEEBARHhfDPYrFIrt27eLQoUN89atfpaWlhc9SmqYcO/oWpeK7dLT+lPmZ43h3ixDqfJxszpLNWaJ4NybeSUNDw+MT6xL9Tc9zu/I+LtS513T9ItP1i/Tln+NRC6GK93dx6UWUWYUxQzyprl+bYH6uwpJMxjC4voso1ixJfRUX6txPiSFWRZ5Eznlu35rl5z87x1s/OcfozSnS1LEsk41YN9jFl7+2lede3EhPTwvaKBoaGp4ecTaio6eZJcEHJsfnSOqWTDbicTHcZ3BwkIWFBd566y1eeeUVWltb+SwkScLhw4cpl2+xZ8cp0voZILAiEhFnvoRS7TQ0fNYCcHNxmrq3tGeaKEYZYmX4IhKE7tx+ClEfc8l17lV384yV36M7txctMZ9MIIQy3t0iTT4gTY5i0xM4d4tc/g8wxf8WJOJBJNWEqdEpWrpbKM+VMZGhubsZEeFRs9Zz+dIdqtWUJcVijvUbulmWuAV8sNxPSUykmniSeB+4OzHPuz+/yI9/eJob1++SJpZlmYxhcGM3X/mN7Tz34kY6u0porWhoaHj6ZDKGzp5mRCAEuDs+R1JLyWQjHhfDfZRS7Ny5E6UUb775Jvv372f16tUopfi0zMzMcPjwYbTWvPzy7yAhobJwmRBqrISSZky8GxAaGj5rArwzcZX//fIhenIlNjd3sbHUxcZSFwP5FopRhpyJEIQvgkLUQ09+P/PJMAHPsoBnvHKUcjpOKV7NyjmCX8C5YdLkOGnyPjY9iXcThFAFAkvS5DDeT6F0Dw/q1sVbjJ4dJakmbHxuI5+WxYUaly7eJoTAkr7+Vrp7mllW9/O4kHK/SDWhJeZJEEJgZrrM4Xev8MbfnuTyxXHqtZRlmUzEuvVdvPq1rbzw8ma6uksorWhoaHh6Ka3o6GnGRIY0sUzemaNWSyny+Bg+hNaaHTt20NLSwrFjxxgeHmbnzp20tLQgIjwq1WqVy5cvc/HiRdavX8/27duJ4xjnfpOk9gZpcoSVCGGB6uJf4OxVovhZtF6FqCIgNDR8FkpRlul6mZHyDO9PDpPRhmKUpSdXYkOxg03N3WwqdbG20EZLnCNvYrQoPo+0ZOjPP8+NhR9Td7PcazEd4071OMV4FYLwcUKoE/w01l7GJh+Qpsew6XmCnyKEOh/G2etYe5FY9/Ag4mzMwJYB3v4Xb7Nu7zra+tsQET4Nt2/PMDIyxRIRYdPmHgqFLMtqbgYfEu6X1c0oiXisAiwu1jj+/nV++DcnOHt6lEqlzrIo0qxZ18nXvrGDF17eTFd3Ca0VDQ0Nnw8dPc1kshFpYlmcqzI3Xaazp5nHxfBrKKVYs2YNHR0dnDlzhjfffJOuri42btxIR0cHURTxMLz3zM3NcePGDa5fv06hUOCVV16hs7MTEWGJ1v1k87+HTc8TwgIPKoQ6Sf2npMkvUKoLE+8kzryMiQ+g9QAieUBoaPi09ORKZHRE2SYsqTtL3S0yWVvkzMwtjNIUTEx7ponBYgebm7vZXOpisNhBe7aJgskQKc3nRXt2iLbMRm5X3udeNtQYK7/LmsJXiHWJf8gT/ALej5OmZ7HJcdL0BN4O4/08YPk43s+RJoeJMy8Cho8TQqAyXyFTyJDUEmxiMbHhUQshcOH8bebnqizJ5WKGtvYTRZplNTeDCyn3y+pWtMQ8LrVayrnTo/zo+yc5euQqC/NVQuCXjNGsWtPOK1/Zypde3ULfQCtaKxoaGj5fOrqbyWQjFuer1Gspk3fm2LC1j8fF8DGampo4cOAAQ0NDXL16lcOHD7Okq6uL/v5+CoUC+XyeTCaDUop7hRBI05RqpUq5XGHk5h1uXL+JNXepZs+yY8c+1vVvohAHUr+AVlm0xIAizn6NqPZDktpPgMBKhFDHuRFcdYSk9iZK9xJFezDxAaJ4L1qvQlQREBoaHqXObJEmEzNdL/NhrHfMJlVmkypXFyZ58/ZFmkxMc5xjQ7GTPxx8hpe616NE+DzI6Bb68i8wUT2JCwn3mqyfZSa5QnduL0tCqBP8LM5eJU2PkybHcfYC3k0SQgUIrIwjrR/BN82gVCcfpzJf4e6Nu+z42g4mhyeZuD7Bqu2rEBEepWol4czpEdLUsaS9o8CGDd0s88FSs7MEPPfL6la0xHzWnPXcuHGXN35wioM/O8/k3QVCCCxRSujpa+HLX9nGq7+xlYHV7RijaWho+Hxqbm2i0JxjamKeei1lcnyOx8nwAESE5uZm9u7dy/bt25mamuLWrVucOXOGNE0REZb4YAmqgg+W2oIgNsfClGV64Q43b85zd0zRP9DJf/bf7+OS/j7X/UlG7uTIqmbyUQ+FqJeC6aUp6qVgelDx17D191FhDkXgYYRQw9nrOHsdqf0ApTox0U6izPNE8X60XoWoEqBoaPikCiamPdPESHmGB+FDYCGtk3jH/vbVrCu2IyJ8XgiK3vx+Ls11sZCOcq+6m2G8/DZtJouz57HJCWx6EmeH8WEWguXhCSJNLAl+AVQnHyfOxmx6bhOF9gJda7sg8KmYmJjn8qVxlm0e6qW9o8AyF1Jqbob7CYqsbkGJ5rMSQuDuxAI//9k53vjBKW7emMQ5zxIRoa29wPMvbeS1b+5kw6YeotjQ0NDw+ZbJRXR0lRi+fAebWibvzON9QCnhcTCsUBzH9Pb20tvbSwiBer1OpVIhSRKmq+c5N/2XzJfvcORvVnPzUC8SDHGzIlE50jqMpAtcuzAH2yD1ZVJfpsokM8lVligxaMlgVI6MyhD7ElkRcmLJiSOnLBlxaAJaAorAgwqhhnMjODdCUv8JSnWgoyGieD9RtB8dbUKpFsDQ0PAwsjqiJ1diJfIm5rdW7+TPN79Md67I500xGqA7t5fFdAwtnghHQVmadUJT/V8yN/2vwM8SQgUIPDyNUs1oswYT7SWK92OiXWjdx4OIshEtvS0sKbQV+DSEAOfOjjE1tciSTMawfccqstmYZT4k1NwM91MSkdWtgPBZqJTrHD1yjf/nr49x/uwY9VrKsmIpx74Dg3zjW7vYumOAXC6moaHhiyGTjWjvLrEkBJiemCepp2RzMY+D4RMQEbLZLNlsliXZ+iw31AJSqtA+YLnpInwQtLFkokBaF8rlGj//8QV2rxbI8Q/4YPHBkvoyVZYVEAJaAppALJ6cWEo6YcCUySlNCB6wPKgQ6jg3hnNjJLW3UaoVbTYSxfuI4n3oaAil2hHJAUJDw4PIaENPrsiDKkZZfn/dPv5s4/O0ZfJ8vgRCqKHCDAOZIiGuUZBFiiolIw4jHgGC4+FJhFKtGLMZE+8nip/BmE2Iakck5klTrSac+GCYei1lSVt7ga3b+hHh79hQp2qnuJ+WmKxu49NmrePalQl+8L0PeOftC8zPVQiBX4ozhqGt/Xzr23t45rn1FIo5RGhoaPgCiWJDW2cJESGEwNTdBZK6JZuLeRwMj1CkimjJIipQ6i9jMp60ptEhYu2WJs4ereGc59KZaTrORfTtBYQHEhBsECxQD5pUFB26RiSKTO630HoNafIuNr2I9zOA48FZvL+LT+6SJocQVUTrXky0iyjej4l2o3UfooqApqHh14mUpjtXwojCBs9HKUQZ/mzjc/zR+gOUoixPv0AINYKf7H2LgAAAIABJREFUxblhbHoWm57HpufIuZtsiOYQPJ+MIJJDqU5MtBUT7yWK96PNepRqBgxPsvHbs1w4N8ayoS199PQ2c6+6m6Pu57mfVjF508GnJYTA1OQiP/3xGX70/ZOMjUzjnGeJ1opVq9v52jd38OWvbqOzq4RSQkNDwxePUkJ7VxETadLEMj0xT1JLeVwMj5BWGWLVTJkRmnsrRDlLWtOk9cDGTZ1MjM4zPjZDdVG48os2OobGiJtSViqvLBuiOXpMFaO7yeb/EVG8D+//CJteIE0OkSaHcOlFvJ8DHA/OE/wc1s9h04vUq99DqQ50tBkT7SSKdqGjzSjVjkgOEBoa7tWdK5HREdbW+SgFk2F7Sx8Fk+Hp5AmhSvCzODeCTc9h07PY9DzejRHCPCEkLBMelkGpEkqvIop3YaK9mHgnWvUiqgAongYhBE6duMnk5CJLMtmIPXvXksvF3KtiJ7C+xv1iVSCrW/k01Ospp07c5K//9fucOjFMvZay5P9lD76j9DoPw07/3nLv/XqZ3jGDXggQhQBBgBWkxGKqUpElO+tItmOtN8eJ7ezuWZ/9c8+ePbtn48TJltiK1nYkN9mqVDUlsIBFBNjQ6wCYgun1699t72akM/YIYefMEBDv8wgBuXySO+/ZzCMf201vXxNaKyKRyAdbY0sG29F4rk+pUKM4X6WpLcv7QbOMpLBxVI4FyaYasZxLZdbBrRpSdiP7DrTwna+9RBgaxs82MHkxR+fOSd6JtPTYaM/TpGoIDNq6Fa03Agopm7CdO7Gd/YThDL53Bq/+Ap57lMC/TBjOAgFvn8GYKkEwRBAM4daeRMg0SrWjre1o61a0dQtKdSNkFiFiRCJt8QwxpSn7dd7MeK3I/3P+CHknwS35dgSCG1uACcuE4QyBfxnfP4vvnSHwLxAGExhTwBiX5SBEHCmbUNYWLHsX2tqF1usRMo8QMW5GxWKNl45dxnV9FrS0ZNi2vQshBEtV/EkCU+d6Cd2MljGWUxgaxkbm+OF3X+OJH5xkarKIMYYFsZjFth3dfPSTe9i5p5dEwiESiUQWNLRkcGIW5WKNet1jerJA36Y23g+aZaSEhaPyLLDiPtn2CjNX0gSeYHaiyh0f3sULz5xncrxAvWhz+blOmjfOYSc83opAkleGDdYsOVVHAELEsJ17EDLLz9NI2YLttGDbBwnNLL53Ec/9Cb77Er53jtDMgvF4ZwJMOIcfzuF7ZxHiWwiZRaoOLOsWtN6Btm9Bqk6EyCCETeSDpzmWIqkdputl3owxhuMzw/zh6cP8wY4PsyHTguBGYTCmhjFFwmCCwL+I718g8C7i+xcJwylMWAJ8loNBIEQGrXuwrFvR9q1oaydKdSJkGpDc7K5cnuTC+TEWCCHYcWsPba1ZljKElP0JAuNxvYRuRguH5VKtuhz7ST/f+OpRzp8dwfMCFkgp6Opp5OGP7OTe+7fR2JRCCEEkEoksyjUkiScdmCzi1jxmJoq8XzTLSGJjqxwLrFhAtrOMEGAMDF+dpKs7z9471vODb79KGBrGTjUxeSFP584J3oxA0Z7Yy9ZkB1b1SxhTZ4FUnVjOfkDwhoSFFC3YTgu2s58wnCPwL+G5x/DcYwTeWcJwGmNqvFPG1DHBBGEwge++hhAxhMyjdB9ab0FbW9B6C1K1I2QGIWKAIPKLLaltmmNJBsszLBJC0B7PUAt8ZuplFoXG8OLkVf7t6Sf5n7Z/iDWpBt4PxrgYU8aEMwT+VQL/Er5/kcC/QBCMYMICxlSBkOXiG4FrFMXQpmBitKU/w5rs55CyESFi/CLxvIBjL/YzP19hQTLpsHffWpyYxVJB6FL2JwDDzxMkdQtKOrxXJjSMXJvlO996hR//8CRzs2WM4adS6Rh3HNzIRx+7jfUbW9FaEYlEItdz4jb5pjTXrk7huT7TEwWMMQghWG2aZSSEwlF5BBJUSKajgrID/Lpi8lqJwDMcemg7x164xOR4gXrR5vKznTRvmMVOerwRKTTN8R00ph6gGpzErT/JAsu+HaV6ePsUUjYi7UYsey8mLBAEw3juK/juUTzvJGEwhjFlwPBOGVPDBKOEwShe/QWEiCFkBqna0Xor2tqG1huRugcpswiRABSRXywxpWmNZ1gkhWBHvpPf2XIP1yrz/PuzTzFVK7EoMCHPjF8ioS3++1vupz2eZeUYjHExpowJ5wmCAQL/MoF/mcC/TBAMEIZzGFMG47F8BELEETJHIQiZ9CoUQotiaFEzisBIarUZOrNJHBHjF83kRIGXjl4mCEIW9PY1sXlLB9fzTZWyN8r1lLBI6BYEkveiWnV56Sf9fP1vj3LuzAi+F7BAa8m6DW185BN7OHDXRtKZOJFIJPJGHEfT2JJmQRgaZiYL+F6AZWtWm2aZ2TKHFDaBqZHtLGPFA/y6ojRfZ3R4lm2717Dv4Aa+/81XCEPD2OlGJs430LVrHASvKzB1Lsx9DVsm6Y5/HN97DYOP7dyDEHHeHYmQObTMoa1tmMQnCYMJfO8UnvsKvvcqgX+V0MyD8XjnDMZUMUGVMBjHd19DCAchUkjVjNLrUHojWm9E6XVI1YwQKYSIA4LIzctRFm3xDAuUkOxtWsPvbzvE9nwH9dCnGrj8v+eOMOdWWeSHAX9/7RwJbfOvttxHUyzJexdiTBUTlgnDKYJgkMC/ShhcJfCvEgTDmHAOY8oY47K8BELEETKH0n1oaxva2obWm5ksvUh/5c/wjcdS07UzTNXO0pm8g18kxhhee3WA4eEZFmit2Ld/PfmGJNdzwyJlf4LraRkjZbXzbhljGB+b5zvfeJm///4J5mbLGMNPZbJx7r1/Gx/95B661zQhpSASiUTejOVoGpozLJqZLOLWfSxbs9o0y8xWOaSwCEyNVHOVRL5Odc6mUq4zdGmC3QfWc+ih7Rx7/hITY/PUijaXn+2gZdMMdtLjjVSDaU7O/Bl+9iO0W/vQZhLL3s3yEAiRQukUSq/Fjj2ECWcJ/H487zV89zV8/wxhMIkxZcDwbhhTx5g6YTiN750Dvo8QCYTMoFQ7SvWh9FqUXovSfUjZjJBJhIgDisjNQQtJazxDXFnc0dLH7207xIZMMwJBXFn8k95dlD2X/+/SC5S8Oovc0OfxwZMktc1vb7qLrB3n7QkwpoYxFUxYIAhGCINhgmCIwB8gDAYIgnGMKWHCCuCz/ARCJBAyh9Jr0Hor2tqGtrYiVTtCZBDCYkFbMk6i8EMK7iBL1YN5hsvP0JrYhRYxflEUClWee/YCtZrHguaWNHv3rUUpyfVK3jhuWOJ6lkyS0u28G54XcPL4IH/7Fy9w/LVBPNdngdKS9Rva+MSn97H/4AaSSYdIJBJ5O7RW5JtSKCUJgpDZqRJu3SeZZtVplpmj8khhscBJ+mS7SkxfSeN7AYP943h1nw2b2rntwBq+/83jmFAwdqaR8XMNdO8eB8F/IQDD9WrBLKfnvkktsYb1qQ8hZTMrQQgboVqRqhXL2Y8Jy4ThOL53Bs97Dd87TuBfxYRzGFPj3QsxpoQJSoTBCB4vAwohEgiZQspWlF6DUj0o3YNU3SjViZBZhIgjhAMoIjeenmSej/bs4Nc33MGaVAOCf5TUDv903V5Kfp2/uvISVd9jUTXw+Nurr5LSDp9bv5+U5fAzIcbUMaYGpkoYzhIGY4ThCIE/TBAMEwbDhME4xpQxpoIxdcCwMhRCJpEyj1Jr0dYWtLUFpTchVRtCpBHC5vWkrS7aE/sousMYQhYZQkYrxyi4gzQ4G/lFcfbMCOfOjLBACMHOXWvo7mnk9ZS8a/hhjesldDOOSvNOzc1VeOJ7x3n8Gy8zNjqPMYYFmWycex/Yxkc+sYeeNU1IKYhEIpF3It+UwrI1QdVlfqZMvebyftAsM1tmUcJmgY4F5HvKCGkwoWDw8iTlcp18Y4qd91ocOeJRnLSpl2wuH+mkZdMsjfkmWuI7Ga0cpepPcT03LHCxfIFA9bA9PkdCN7OyJEKmUTKN0uuxYw9jzDxhMITvnsbzT+K7pwmDYYyZxxiX9ybAmCImKBIGo/jea4BACAchEgiZRsp2lO5Eyg6kakepDqRqR8oGEDGEcBDCATSR98eexm52NXaRtxO8nqwd5zc3HqDiu3xj8Dj1wGdRyavz5f6jxGWNT3UpHEYJwjHCYIwwGCUMxgnNHMbUwFQxxgUMK0kIByHSSNWC0uvReiPK2oTWG5CyGSFTgObtUMKhO3k3A8XD1IIZlir744yUXyBnr0MKxc2uWnV59pnzFApVFmSyce68exOxmMX1jAkoeiMExuV6aasTLeK8XWFoGLgyyVf/8gWee+Y81YrLAikFfWtb+OQv387BezaRTDpEIpHIu5FvTGM7mlrVpVZ1KcxWaOtqYLVplpmWCbRMsUBIQ667hBULcCuaiWuzzE4UyTemaFkb0L17mrNPtGFCwdiZRkrnd/ChX3qM9uReBkuHOTH9Jcr+ONfzTZ3+wo/wQp8dDb9Bxu4GBKtBCAshmpCyCW3twjE1TDhPEFzF907je6fxvXOEwQjGFDCmxntnMKaGMTUIZwgYwHP5LwRC2CBiCBFHihxStSBlM1I1IWQzUjUhZTNSNiJkBoEDwkJgg7AQQgMKEESWT9Z2wAQYUwN8jPEAD2NcjCljwgIpM8fn10wwX5njiYkEvpEsmnOrfOniC4jaCR5qOoklqoBhdWiETCJFBqm70XoTSm9EWxtRqhshswiRACTvVoOzmebYLQyVn2Gp0HgMl5+lL/MQSd3Kze7CuVFePnYZYwwLtmztZPOWTl6Pb2oUvWuAYSmBJG11oKTD21Gv+7x89DJ/85XnOX92hCAIWRBP2NxxcAOPfWY/6za0opQkEolE3q18UwrL0Sxw6z6z0yXeD5plJoWNo/IsynWVsZMebkVTLtYYujLJ2i3txGIW6w6OMfRaluJ4ArdsMfLcTpIP7MZOp+hLP4QUNsen/4SSNwoYlgpMnYHSj6kFc+xo+HWaY7cghGK1CRFDqBhStWLZ+zCmhgnnCYJhAu8svn8W3ztLEAxhwgLGVIGQ5WEwpg6mjmGekDHwz/GPFEI4COGAsBE4CJlGyBxSZBEyh5QZEAmESCBEAiHiCBFHiDgIjUADCoQGFEJoPpgCjAkAH0yIwQcCMD4GH2MqYKoYU8WEFYypYkwVYyoYU8KE85hwntAUMKYKxsPgkTIen+uIUfL28vxsD4GRLJp2JX86tJ6YmOa+xstoYVh+CiETCJFBqQ6UXofS69B6HUr3IWQjQqQRwmY52SpNd+puRqvH8MMqS825/YxXX2Ft+iFAcLOqVFx+9MQppqdLLEgmHe65bzOZTIzX44Zlit4w11PSIaU7EUjeytxche9961Ue/8ZLTE8VMQaEELS2ZfnYY7fxwEM7yOUTRCKRyHuVysZJJB2mAc/1mZ0q8n7QLDMlbByVZ1E8VyfdWqU0GadWdRnsnyAMQ5SM0dBbZs2+Mc58r48wEJw/OcWxZ/t58KO7UNKmN3U/Sti8Nv3HFNxBwLBUaHzGKseoBdNsb/h1upJ3ooTN+0cgRByh4kjVhmXfhjF1jCkQBuME/kV8/yKBd4kg6CcMJjCmhDEuKyPAmArGVPgHAW9AIYQCNKBAKAQCEIAAJD8lJB9MBowBDGCAEDAYDGDABECAIQDjA4a3q8Op8FvdR6kFmpcLnYRGsGjCTfGl4duIK587cgMoYXi3hLARIokQaaRqRek+lF6L0utQqg+pmhAihRAxQLCSBILW+B6ydh/TtTMs5YVVhkrP0JU4iK0y3IyMMZw4PsiLL/QThoYFW7d1sue2tQgheD1lb4yqP831LJkgY3fzZowxDA1O89W/eIFnDp+lWnVZoLVk6y1dfOa/OcjOPb1YliISiUSWg+NY5BpTDF2exHN9ZqdKGANCsKo0y0wKG0c1sshO+OS6y4yeaiAMDYP949QqLlo4OI7F7fe3MXcqw/CVItWKyxPfPc7ufWtp7cghhUV38m4sGee16T9hpnYeQ8hShpDZej8vT/4RJW+U9ZlfwlE5bhRCOAjRjJTNaOsWHAJMWCE0c4T+AL5/icDvJ/AvEwSDmHAeY8oYUwcMqyfAmABw+SkDhshqEEBvfI4vdB/ljwYOcqrYgkGw6FotyxeH9hKTHrszI0hheHMKIeIIkUCqPFL1oFQvSq9B6V6U6kbIHEIkECIOCN4PCd1MV/Igs/ULhMbnHxkmqseZrp+jPbGPm9HMdJnHv/kys7NlFqRSMR748Hby+QRvZN4bwAvLXC+hmkjqFt6I7wecOj7EV/7sCKdODBH4IQuSqRj3HNrCpz6zn66eBoQQRCKRyHKxHE2+KcWCMDTMTZfw/QDLUqwmzTKTQhNTDQgkhhBlh+R7SigrJPAkw1emKBVqOA1Z1mUepa/tI4QPXeErXzqC5/pcPDfGkSfP8olfvh2lJVJo2hO3Y8s0r07/R8arr2JMwM8zlP1xTs58iXn3Ctvyv0rGXoNAcuNRCJlGkUapbiznToxxMaaMCQuEwTUC/zK+308QDBAGQ4ThNCasYEwV8In84hEYNqam+EL3i/zRwAEulZsw/IwBLlfy/PHQPn6393m2piYQgBA2iBhCxJGyAak6UaoLqTpQqhOpulGqFSFSCJEAYXEjkULTmTxIf+F7lLxrLFUP5hgsPUVzfAdaxLiZeF7A4R+f5vjxQYwxCCHYs7ePvfvWIoTg9YTGZ94dwDcu18vYa7BkktdTq3k8c/gMf/Xl57k2NIMxBiGgpTXLY5/ZzwMP3kI6EycSiUSWm21r8o1pFs1OlfDqPpalWE2aZSdwVCNSWASmzoJcdwkr7hN4NnNTRcaGZ9javo6s3YclE9z9QILnnz7P+TMj1Oseh39wkn0H1tPT18wCgaQxto29zb/Pien/xHD5WQLjcj0vrHCl+AMK3iC35H+NtsRtaBHjRieEjRA2yDxKr8FyDoDxMKaCMRXCcILAHyIIBgmDQYJghDAYJQxnMaYKpooxLmCI3Lwkhh3pMb7QfZT/MHCAwWoOw88YBOdLzfzx0AH+9Qafzbk+lGpHqjaUakfKJoRIgIgjhM3NImv10p7Yy6X5UQwhiwwho5WjFNwBGpxN3CyMMZw5Nczj33qFWtVjQWtrho9+fDfpTJw34ocV5t2rgGEpgSRrr0HLGNcrFqp891uv8PWvHmV2pswCqSSbNrfzK//sTvbsXYtlKyKRSGQlaK3INaaQUhCGhrmZEp7rAw6rSbMCHNWIFA6BqbMg014hlnWpFWzKpToDl8bZsW8tCH6qrSPHA4/sYODKJLWqx9XLkzz1xGk++/m7sCzFAoEgZ/exp/lfkdAt9Be+ixsWuV5ofCarJ3nR+z9Yn3mU9dmPkdQtgOCmIiyEyCLIIlU72roVMBjjgqliTJUwnCUMRgnDEYJglDAYJwwnCIMpTDiLMTUMdTB1jPGAkMiNQIDQCCwQFgILIRyEzCJlE3fGm8FZx7+76DJcKbIoRHC80MqfDPXwB/mH6U22ILi5aRmjJ3UvQ6WnqQWzLFX2xxguP0vOXocUmpvB5ESRr/71i4yOzLHAcTQffngHW7Z2IgRvqB4WKHjDXE/LODl7DQLJUlOTRb76Fy/ww+8dp1Kus8BxNPsPbuSzv3aQvnUtSCmIRCKRFSMg15BEWxq37jE/U8at+6w2zQqI6QaUsPH4GSflke8uMzeUwnN9rl4Yw6172I7FAqUkB+7ZzLNPnuP4y1fxvYCnnjjN7XduZNPWDv6RIKlb2dH4GyStNs7M/iUVfxIw/DxDxZ/g9OxfMFU7w5b8Z2mN70QJh5ubQAgHhIMgh1TtYG3lZ0KMqYOpY0wdY8qE4TRhOEUYTGHMHCacIwznMeEcoZnHhPMYU8IYDwjABICPMQEQAiFgAAMYDAaM4QNLSAQCEIAABCAAAUIhUIACoRBoEA5CxBEiiZAZpMwiRBYhs0iZRYgsUmYRMoeUDQiRAmEjhMODWYWvz/NvTx9mvFZkUWAMz00M8UdnnuF/2P4AnYkcN7tGZwvN8e0MlZ5hqdD4DJeOsDb9ECmrkxtdpVznG18/xquvXMUYgxCCnbt7efiRW7FtzZspuEPUgzmuZ8sUGauHpSbG5/nPX3qGJ390GrfusyCVivHQozv51Gdup7EpDYJIJBJZcdmGJJatcOselXKdcqlGM1lWk2YF2DKHknEI+CkrHtDQW+TqT1owoeDqhXHKxRq2Y7GosTnNhx+9lUvnxyiXaowMz/KDb79Kd28TiYTNUrZMszH7SZK6jdOz/5np2nkMAdcLTJ2RyovMu1foS3+YtZlfImN1I4TiF49EiDiIOIKfUazl5/kY44HxMHhgPAw+mBrGVDCmgjEVjKliTA1MAPhgAgw+EIAJ+GCSIBSgEEIDClAgNAKNEDGEiINIIEQcIeIIYQMKhEJggbAQWCA0IHgztoKHu7ZR9l3+73NPM1OvsMg3IT8ePU9c2/zetkO0xFLczByVoSd5H2OVl/DCCkvNe1cZrRxlffZjCCQ3spMnh/jxE6dxXZ8FHZ15Pv2Z22lqTvNmDIaZ+iW8sMz1UlY7cd3IotGROf7si09x5KlzeK7PgsamFI99Zj8PP7qTVDpGJBKJrJZsQxLL1izw6j6FmTKrTbMClIzjqBxlb4gFQhryvUWseIBb1oyPzDI5Nk++Kc0iKQX7Dm7ghWcu8NxT5wiDkOefPs/+Ozew7+AGhBAspYRNd+pu0lYnp2a/zHD5CH5Y5b9mKPvjnJn7K0Yrx9iQ/ThdqbuIqQYEgg8WjRAaRBxB5EYXU5pPrrmVsl/nixeep+jVWOSGAd8bPk1S2/yLLXeTtxPcvAStid3k7PVM1k6wlB/WGCg9SVfqHuKqgRtZb18zBw5u4PCPTqOU4lOf3se2W7oQQvBm/LDKrHuR0AT8PEHeWY8lkyyYnCjw5198imeePIvvBSxo68jxa79xD3fftxnHsYhEIpHVlMkncRzNAs/zmZsts9o0K0AJG0c1slS+u4yTdnHLmnKhxsDFcTbe0sVSmWyCRz6xm7OnhpmeLDI3U+a733iFjVs7yTckuZ5Aknc2cFvz75Kz+7gw/w0q/iRguF5ofKbr5yhM/QeGyk+zNv0IbYnbiKkcIIhEbkQJbfPZtbdR9l2+0n+Usu+yqBZ4fH3gNVKWw29suIO0FeNmlVBNdKfuZqZ+lsB4LDVdO8tE9VXWpA4BghtVa2uWX//Ne2lrz1Gv+xx6YBtaK95KPZhntn6Z62lh02BvQAmb2ZkyX/nTIxx56hy+FyAEdHY18LnfupcDd23CshSRSCSy2uIJm2QmDiNzeG7A/EyZ1aZZAVI4xFQTS8VzdbKdFYpjCeo1jyvnR/G9AG0pFgkBt9zazZ33beE7X3uJIAg58coAzz99noc/uhOpJK8nrhrYmv8VGpxNnJn7SyarJwiMy+vxwjLXyj9hsnqKlvgO1mYeoSW+i5jKIZBEIjeajBXj8+v3U/Zd/u7qK9QCn0Vl3+Uv+o+RUDb/dN1eEtrmZiSEojN5gP7Cd5l3r7CUG5YYKB6mPbEPW6a5kWWycR77J/sIgpBYzOLtKHhDVINprmerNHlnHeVyna/99U84/PencF2fBR1dDfzmf3c/tx/YgNaSSCQSeT9YtibbkGSB7wXMz5QwxiCEYLVoVoASFnHdjEBiCFlgJXwae4tce6UJYwyXz41RLtbINiRZKha3efAjO3ntpSsMXJ6kUq7zg2+/yq171tDV08gbUcKhI3kHWbuXi4VvcbnwPSr+FGD4rxncsMhw+XkmqidojG2mO3UvnYn9JHQrUmgikRtJ3knwhU0Hqfh1Hh86hRcGLCp4Nf700gskLZtPrdmFozQ3o7TVRVfyIAVvEGMC/pFhovoq07WztCf2sRrCMKS/v5/+/n6klOzcuZOWlhbeDstSWJbi7TAYZusX8cIy10tZHdimicN/f4rvPf4atZrHgta2LJ/7zXu4/cAGtJZEIpHI+8WyFdl8kgXGGOZnyvhegGVrVotmRQhiqgkpLAJTZ4FUhoa1BXTMx6tqRgammBqfJ9uQ5Hq965p54JEdfPmLT+PWfS5fGOPH3z/Jr3z+Tixb80YEgpTVwfaGz9MS28H5+a8zXn0FP6zy+gxuWGS0cozJ6kn6ne/QnbyLruRdZOwelHCIRG4ULbE0/2LzPZR9lx+PnMc3IYtm6hX++PyzJLXDL3Vtw5KKm40SNj2pe7la+jFlb5SlasEcA6XDNMe2o2WclTY+Ps63v/1tNm3axMzMDMePH+f+++9HSsly8sMq0/ULhMbnejlrHWdem+arf/kCxUKVBbl8kl/93F0cvGczWksikUjk/WRZmlxDikXzs2U818eyNatFs0JiuhklHAJTZ1FDb5FYxsOraorzVa6cH2Pdlg6up7Xi3g9t4+hzlzj56gCeF/DkD0+y9471bN3RxVvRIkZn8gANziYGS09yqfAd5tx+QuPzRnxTY7p2ltn6RS4Xf0BHYj+dyYM0OpuxVQaBIBJ5v3Umc/zu1vuo+h7PTvQTGsOi8WqR/+vs08SVxf0dm9BCcrPJ2evoSOzj0vzjGEIWGUJGKy8y516mKbaNlTY8PIzWmvvuu48wDCmXywghWG61YIaZ+kWup4RDfbqJ7/7lS4yPzrMgFrf5yCf2cN8DW7EsRSQSibzftFZk8gmEFJjQUJir4HkBq0mzQmKqCSkdCPkHiYY62c4yxfE49ZrH5XMj+N6taEtxvebWLI98fDdXLo1TKtYYG5nje998hZ6+JlLpGG9NENdNbMx+ktbEbi4XfsBQ+WlK3jVCE/BGQuNTcAcpusNcLT5BU+wWupIHaUvsIaFbUcImEnm/CKAv3cjvbTtENfB4eXqQ0BgWDZdn+aMzT5HQNgdb1iKF4GaiZZye1CGGSkeoBTMsVfEnGCw9Rd7ZgBI2K8myLCqVCrVajbm5OSYnJ2lubkYpxXKarfcqS8SXAAAgAElEQVRT9ae4nnETPP+9MqdPFjHGoJTkzrs38dFP7iEWt4lEIpEbgoBMLoHWCs/1KcxV8NyA1aRZIbbKYckkNSZZZCd8GtcWuPZqE8YY+s+NUi7WyDYkuZ6Ugr0H1rNn/zqe+dEZwtDwkyPnuW3/Wu5+YBtSCt4OIRQ5ex23Nv5zetP3c6X4QwZLz1D2xzAm4I0YQmrBLMPlI4xVjpG2u+hI7KcreSc5ey2WSiMQRCKrTSDYkm3l97cd4n898UNOz45iMCwwwOXiFH94+jAJbbGroRspBDeTpthWWuM7GSg9CRgWhSZguHyEvvSD5J31rKQ1a9YQi8X46le/SrlcZu/evQghWE6h8Zmqn8ELKyxlDIyeyfHSU/N4nmHBug2tfOqz+8nlk0QikciNJJ1LYNkKz/UpF2vUqy6rSbNClIgRU00UucoiqQyNfUV0zMerakYHppkcmyPbkOT1pDNxHv3kHs6dGmZ8dJ5CocrjX3uZTds6ae/M804oYdPgbCZr97Em9QCDpae4Vn6OojdMYFzejG9qzNYvMede4XLxBzQ5W2lP3k5rfBcpqwMtYkQiq0kIwc6GLn5/2yH+txM/5FJhEsPPGAzn5sf4N6cO8z/f+iBbc20IBDcLW6boSR9itHIMNyyyVNG7xlD5abJ2L1JoVko2m+VTn/oUly9fJpVKsXHjRoQQLCc3LDFVO4shZKnqbIzTT7RQmjMsyGTjPPbLt9O3roVIJBK50WRyCSxLA3U8N6A4X2U1aVaIEg4x1cT1GnqLxLIuXlVTmK/Qf3aU9Vs7eT1CwJZbujj00A7+7ivP43kB509f48ffP8kv/9oBLFvzTinh0BTbRoOzkXWZX+Ja+TkGS08z617ED6u8GWMCqv4UQ/4zjFReJGm10hrfRUdiP02xbcRUA1JoIpHVIIVgf3Mvv7v1Pv73k08wWJ5lUWgMr84M8YenD/MHOz7MunQzgpuFoDW+m8bYVkYrL7JUaDwGS0/Rm3qAjL2GlVKpVBgYGKCjowNjDCdOnGD79u1kMhmWS8kbZd4dYCkTCAZfbmPiYg5jQCrJwXs2c/uBDUgpWFa+D1KCEOD7oBS4LoQhaA22TSQSibyVTC6BthQLfM+nMFdhNWlWiBI2Md3M9RKNdfLdZYpjCdyax6XT17jv0Z3Yjub12I7mw4/eyvGXrnDm5DCu6/PE946z87Zett3agxC8K1JYZO1eMlY3a9L3M1o5xmDpSaZrZ6gHBQwhbyYwdQruIAV3iIHiYbJ2L62JXbTG95C31+OoLFJoIpGVpITknrYNVAOP//PUjxmrFlgUGsMLE1f4d6ef5H/c/iF6knluFjGVpzf9AFO1k3hhhaUK7gDD5WfZYnUhhGIllMtlnnrqKXp7e3Fdl8nJSdavX08mk2F5GKbrZ6kH8yxVnEhy+blO/LpiQVdXA49+bDfJlMOyCkN4+mno7YWODvjRj6ClBU6dAmMgmYQHH4SGBiKRSOTNJNMxnLjFAs8NKM5VWE2aFSKEJqZakEITGp9FdsKnaX2RoZebMSFcOjNCqVCloTnNG2nvzPPoY7cxeHWKUrHG+Mgc3/zqUbp7m8jmErwXQiiSuo11mUfpTt7FdP0sw+XnGK0cpeSNEhqPN2dwwyKTtZNM1U5zUX2brL2G1vhu2hK3kbPX4sgMQigikZVgScWHO7ZQ9l3+/ZmnmK6XWRSYkKfGLpLQNv962yFa4xluBgJBzt7DjLsRzDkS2kWJkAWBcRkoHaYndR8pq4OV4nkenufheR6+77OcvLDKRPUkgXFZFAaSwZfamBtOs8C2Nfc/eAtr17Ww7MIQTp2C+XkoleDwYZAS7r4bdu6Ev/s7+MlP4JFHiEQikTdj2Zp0JgFM43sBhbkKq0mzguK6BSkcQuOzSEhD8/oCdsKnXtKMX5thZHCahuY0b0RKwe13buCVo5c5/IOThKHhpRf6OXL4LA9/bBdKSd4rgcBROToSd9Aa303BHWK08iLXys8zU7+AG5YAw5sxhNSDOSaqc0zWTnFx/lvknHW0xHbQHN9Ozl5HTOWQwiISWU6O0nysZwdl3+WPzz/LvFtlkRcG/ODaGRLa5ne23EOjk+RmIEWW12b3crGQoCcxy5rkNK3xAkntMlfv51rlBTZmP4FAcrOp+JNM18+xVGkiwcCxNkJfsqBvXQv33L8VbSlWRL0OL7wA/f1w5QpkMrB9O/T0QE8PTEwQiUQib8WyNelcggW+H1CYq2BCg5CC1aBZQXHdghIxfMosle8pkWow1EtQKtToPzPCtt1rEELwRtKZOB/51F7Onb7G8MA0lXKd7379ZbZu72LthlaWkxIOeWc9OWctfZmHmKye5FrleSYqr1L2xwmMy1sxJqAWzDBWmWG88gq2SpG2umiJ30pL7FbyzkbiugElHCKR5RBXFp/u3U3Zq/Pnl16k5NdZVA98vjV4gqS2+cKmO8lYMW50aSvGhswajoyPMFrJcny2i7xTpicxy5rkNFodoS1+J1m7lZvNdP0sFX+CRWEgGHq1lcJoigW2o7nvgW20tedYMfE4PPggbNwIk5NQKMC5c5BOw8AAbN2KMQZjDFJKIpFI5PVoS5HJxVlUnK/g+wGWrVkNmhUUU41omaAeTLNUIhfSug6mB8FzfS6evka96hFL2LyZDZvaePhju/jyF5+mVvW42j/Bd772Er/5Ow+QSDosN4EkrhrpSd1LR3I/RXeYserLjFaOMlM7Ry2cw5iAt2IIqAfz1IN5pmtnuSQfJ2V10BjbSlNsC43OFpK6FUulEEgikXcrbTn82vrbKfsuf3PlZaqBx6KK7/I3V14mqR3+2frbSWqbG5klFbfmO0lqm6JXpxpYVCs5RitZjs928dykz8m5p7m37VY2Z9tojCVxpGY5CCFwHAfHcZBSYts2yyUwdcarJ/DCGosqM3EGX2ol8CQLevuaueOujSglWRFCQFcXdHRAYyNs3w6NjXD8OJw7B6kU3H47xWKR8+fPs27dOnK5HFJKIpFIZCnLUqSycRaVClU8L8CyNatBs4K0TBJTjZS9IZbScY/WDXUuPBvD9wL6z44wN1OiLdHAm9GW4tCD2znxygBHn7tEEIQcOXyW7bvWcM+HtiGlYKVoESPvrCfnrGVt+iFm3UuMVl5ktPISRXcILyxhMLwVQ4gbFpmpn2emfp4rhe/j6Dw5ey3Nse00xbaRtdfgqCxKOEQi71TOjvPPNx6g4rt8c/AEbuizqOjV+fNLL5LSNp/u201MWdzINmdbaY1lKHqTLDIIqoHFcMXib6+e5/vDV+lK5rmtsZvbm/vYmmujKZbElpp3S6PZuX4nW3ZtYW5sjnJXmWQyyXKo+jNM1k4BhgUmFIycbGZ+OM0Cy1Lcee9mWtuyrBil4KGHQGvQGh57DCwL9u2DSgUaGyGZRJXLzMzMcP78ebZu3cqmTZtIJBIIIYhEIpEFSkvSmThCgDFQmq/iewGrRbOClHCI61auZ/Do3qJJpm3mZ6pMjc1z9cI4bV0NvJWGphQf+/Q+Ll8cZ3K8wPxchW/+zVHWbWqjp7eJlSaQOCpLW3wPLbEdbMw+xnTtLOPVl5moHqfkjeCGZcDwdvimhu+NUvZGGa38BFumSVrtNDgbydsbaIhtImV1YMs0SthEIm9HUyzFb2++i7Jf54cj5/DDgEVzboUvXXyBNakG7mnbwI2sMZZia66NS8VJXk9oDAWvxpm5Uc7Nj/HNwRP0JPPsaerhQx2b2d3YjRKSdyoei5M1WWbOz1CZr7D13q0kk0mWw3T9PGVvjEW1gs3gsTZ8V7GgoyvPHXduRCnJiorH+QeJBD/V1MRSyWSSQ4cOcfXqVV599VX6+/vZtWsXPT092LZNJBKJCCFIZeIopfD9gFKhiu8FrBbNClLCIa5beD0NXQEtXUnmZ6pUSjXOnxxi7z2bUEryZoQQbN/Vw4cf3cnffvl5XNfn4rlRvvO1l/n8b99HPGGzWqSwSOpWkqlWOpMHqPrTTNfPMlo5xmT1OGV/DC+sAoa3IzQBtWCOWjDHdO0sStjYKk3K6qTR2UyDs5m8s46EbsGSSZSwiUTeSEciy7/ceh+VwOOZsUsEJmSBloptuXa6k3ludHFlsSXXxvevncELA95MaAwFr8apuVFGqwW25zsAwbsRS8fo3trNka8cYceHdpBvzSOE4L0KjcdE7QReWOanDIydbWL6apYFSknuOLiRzq4GbhSWZbFhwwY6Ojo4e/Yszz//PBcuXOC2226jpaWFSCQSSWXiaEvh+wGlQg3fC1gtmhUkhCauW5BCExqfpXSqyNptTVw6OU0YGi6cHKZcqJLJJ3krjmPx0Ed3cubEEK+9dBXfD3jq709xy63d3HloC1IKVpsSNimrnZTVTmfyAFV/kunaWSaqJ5iqnaLoXcMLyxhC3q7AuFT9aar+NJPVk2gZw5Zp0lYnOWc9OXsteWcdKd2BpVJo4QCCSGTRmlSe39t6H1Xf4+jUVbRQfKhjM/9y672sSTVwI/LDgHmvxmBphlNzozw3cRmD4e1KaJvP9O3hUPsmlBC8GyY0VOYrJLIJqqUqgR8gteS9qgbTjFdfw2BYUC/ZDLzYjlfVLGhpzXDnvZuxLMWNJplMsmfPHnp7e3n66ad57rnn+PjHP44Qgkgk8sGWysbRloIq1GselXKd1aJZYXHVihIOofFZKpCzrLuliVj8MtWKy1D/BOMjc2TySd6OlrYsn/jsfgavTjE9WWR+rszX//pF+ta30N3bxPtJixhpq5u01U136l5qwQwz9QtMVk8yWTtBwR3EDYuExuftM/hhFT+sUvEnGK++ihIOtkqR1O3k7D6ydh8Zu4eM1UNM5dAygRSayAeXQLAx28LvbzvEvzn9Y3pTDfy3m+6iI5HlRmGAqu8yVS9zfn6c4zPDnJgd4Upxmjm3ghsGvF2WVDzctZVfXbeXpLZ5t4pTRWZHZtnz0T0MnRpiamiK9g3tvFdTtXMU3WEWTVzMM3kpzwIpBXv3r6e3r5kblRCCpqYmtm3bxvHjxzHGIIQgEol8sKUycbSlWOD7AaVCldWiWWFx3YIUMaDMUn5YomujTa4xRbUyw/xchYunr7F+aydC8JaEEOy8rZcHHtnB1//qJ3huwIUzI3z7747xud8+RDLpcCNQwiap20jqNjoTB6gHc8y7V5mqnWaqfprZej/1YBYvrAKGdyIwdap+nao/zVTtFFJotIgTUznSdjdZu4+s3UvG6iGpW7FUEi3iSKGJfHAIBNvzHfwvux4lY8fI2wneb74JKbo1hitznJi9xvGZa5yeG2W8WqTs1wmN4Z2SQrC/uZcvbLyTRifJe+GkHLbcvYV0U5pcaw5lKd6rwNQZrbyEF5ZZ4FY0A0fbqZctFjQ0prj70BacmMWNTghBJBKJLEpl4mitWOB7AaX5KqtFs8Ic1YQlU9SDaZbyTY1EY4XejW2MDs3g1jzOvTbIoY/sJBa3eTtiMYtHPr6b86dHOP7yVXw/4MkfnmLT1k4OPXgLUkluJFJo4rqJuG6iNbEbLyxT8aeYrZ9nonqC6fpZyt4YblgkND7vVGh8XFPEDYsUvCGulV9ACwctEzgqS9rqJGOvIWuvIW31kNQtWDKJlnGUsABB5BeTFII1qQbeijGGkZERTp8+TRiGbNiwAa01Czo7O+nv76exsZGmpibeCQNUfZfpepmLhUmOz17jxMw1+otTzLkV6oHPe9WVgN/auJueVJ73KpaMEUvGWJBpzrAcKv4kE9XjGAwLpq/kGD/bCAaEEOy6rY8Nm9qIRCKRm00i6eDELBb4XkCpWGW1aFaYlgniuoWSN8BSgamBM8vmnX0ce/o8vh9w8dQws1Ml2rsbeLvaOnJ86lfv4NrQNJPjBQrzVb7x1y/St6GVdRtauVEJJLZMY9tpcnYfPan7qAfzFL1hpmvnmHUvMlu/SNmfwAvLGBPwzhl8U8MPatSCGebdK1B+DiVsLJnAVmmSup201UHa6iJldZCyOompBiwZQ4kYUmgiHxyFQoHHH3+cXC6H9f+zBx9Odl2Hgad/55x777sv9evXGY1u5JwIIhAkQAJgEoMoiqQsSrKtsC7HHW9wTc0fsVMzW7W2x7PyyGtLlm2ZlCWRFHMCQRBEJHJOnXPuF284Z/3kwrgFkzQAohsAeb/Pttm3bx9KKYQQbN++nXfeeYeNGzdSV1fH1TBAW26Y3QMXOTrSzYmxPvqLE+SCMtoYrpYlJRgIjObjZJwim+svkrKXgVkCQnGrGSydIBf0UuEXLdr2NFOacKjIVMfZ/uAKEokYkUgkcruxbEUiHaMiCELykyVmisU0s6RLwmriSsaElHQ/S9fcQzoTZ3Q4x2DfOBdP9zKrtYarJYTgjg3zePTJO3nuR7spl30unuvn5/+wl9//Px6mKhPndqBEjITVQMJqoDF+J4EuUQrHGPcuMlw+w2j5LOPeJYrhKIHOo03I9TGEpkwYlimFo0x4HfQCUiiUiGPLBHGrlqTVRNJuImU1kbSaSNpNuCqLJVyUjCGFg0AQ+XwZGRlhbGyMp556ikwmw/DwMO+//z67d++mt7eXEydOsHbtWq6e4YP+i/zfJ94mH3hcLYEgYdnUu2mWZRpZWd3E3qF2dvVf4Epx5XNP3UXmpzppn3yN1uQ9pO0WbiWBLtJbOICvi1QMXaim51g9xgiEEKxZO5flK1uIRCKR25FlSZIpl4ow0OQnS2AAwbSzmGZSxIhbTYAADFMVgj4Wzksze14do8M5Cvkypw63s2n7MixbcbViMYvHvnonZ0/1sO+D84Sh5oMdp1i0tIknnlmPZStuLwJLxknJOCl7Fs3Je/B1gXI4xoTXwWj5PGPeBca8ixSDQTydRxufz0KbEG1y+DpHIRhgmFNUSGFjCRdLusRUhoTVSMKqJ6HqiVu1JKx6knYTjqxCiRhKOijhIJBEbj+WZREEAfl8HiEE58+fJwxDFi9ezKZNmxgfH0dKydUSCBam64gpi3zg8WksqcjYLnNSNazONnNHdjYrqptocNMkLIeU7bJ/qJ1yGHCZLUPurOlgdXU3SmhGy+fpyO1gefU3kcLi4xgM5XAMS8SxpMtMyAV9DJSOAQavYHPhgxZK4zEqqjJxHnxkNam0SyQSidyOlKVIpl0qjDHkJ0uEoUZZkulmMc0EkoQ1CyUcQlNmqmLQR7xOsOyOOZw41I7RhtOHO5kYK1BTn+Za1Nan+Y3fuofOtmF6ukbI58q88Nw+FixuZPWdcxBCcLsSSByZwpEp0nYLzcl7CHWRsp5g0utizLvIuHeJca+NXNCLF+YIdBFDyGeljY9nfDw9SSEYZLR8ngqBQAoHJWNYwsVV1cRVLXGrFteqI65qiVu1xFUtrspiSRclHKRwUMJGCgsQRG4ttbW1tLS08MILL2DbNo2NjaTTabLZLKtWreL06dPYts21WJCuoyWZZaRcYCoBxC2HuliSpZlG7qhpYU22mQXpWjJOAkcqplqdbSbrJOgrTlAhhWFpVR931bURUwEVoSnTNvkmLcn7yDhzuVJgSvQVDtCR28Hqmu+Rli1MN4Ohv3iYvN+PMdB3spbe43UYA0II1m2Yz5q1cxCC24bjOGQyGSKRSKTCshSJlMtlhVyJIAhRlmS6WcyAuNWEki5hWGaqcjiKlpMsv3MOiedj5CdLdLcP0dU2SE19mmshhGDlmla++uxGfvj9HRTyZXq6RvnHH31AU3M1DU0ZPi8EAksmsGSCpNVEU2IDofHwdZ5SOMqE1864d4kx7xKTXieFcIhAFwh0CYPmRjAYQlMmDMt4TFAIBvhXAikslHBQIoYSDo5M4VpZXJUlprLErRpclSUmq4mpDDFVhSUTKGEjhY3ERgoLKRQgiMyMeDzOl7/8Zc6dO4cQgqVLl6K1xhiD67o8/PDDpFIprkU2FmdNtpljIz0oIahy4rQmq1mdnc3qbDOrqmfRGE+TtGJIIfgkLYlqFqTr6CtOIIVgaZVga2MHKavMVGPeRdpyb7A6+z2ksKkwGHJ+D+fHX+Ti5CvYMoUUNjPBCyfpzu8hNGVK4zEu7GylnHOoyNYm+dLja0imXG4HOtSMD4yTTWdZs2INEwMTZBoyCCmIRCJfXMqWJNMul+Uny4SBZiZYzICE1YglEniMM1WoixSDfhYsXUn9rGryk33kxoucOtTBqvXzkVJwLSxb8eBja7hwtp+3Xz1KGGqOHGjjpZ8e4Dd/5z7iCYfPKyUclHJwVZZqZwGGbQS6hK/zFIMhJvxOJv0OJrxOJvxOisEQgS4QmBLaBNxYBm18tPHxyVOR5595/E8CiRQ2SjhIYaGEgyXjxFSGmMzgqDSOTOGoNI5MY8s0jkrhyBS2TGLLBErEEEIhsRBCIVEIoRBIhFAIBF9cBhBcqzAMGRkZobm5mYqJiQnq6+tJJpNUNDc3c60cabG5YQHjXoklVQ2sqWlmQbqOaieOIy2uVtpxuaNmNnsH21iYruNPVq6j4HcwVBplKm182ibfoiV5H7WxZQS6SE9hL6fHnmOodJzQeDTEm1HCZiaMeRcZKp/EhIKOg030n82CASkFd29ZyMrVrQjBDWWMoVDwcF0bpSQ3itGGrhNd+GUfIQTxqjhV9VUIBJFI5ItLKUky7SIEGAP5XIkgCJkJFjPAVlXEVC2FoJepAlOiEPTRXLeJJatbaDvXRxCEnPyonfxkkXQmwbWqysT52m/eTfvFAc6e6sHzAl5/6TBzF9Rz/yOrUEryRSCQ2DKBLRMkrHpq3eUYNIEuEegCxXCEnN9Dzu9m0u8h53eTD3oph5MEpkioyxg008WgCU2Z0JT5dAIpFFLYSCyksBBCIbGwZBxbJrFlAlsmsISLknEsEcOScSzhYkkXS8ZRwsWSLpZwsaSLEjGksJDCRmIjhEQgEEiEkIBAIBFCAgJBhaRCUCFBgEDwLwQCwVQGAxiuZDBg+GcGgwEMBg3GYDCAwWAAgzEag8agMSYkND6h8dDGIzQ+oS4RmDKhKRHoMoEpEeoSUlgsqHoMV9VwLYIg4NSpU1iWhed5hGHIpk2bSCaTfBb3NS7k7vp5xJWDFILrYQnJHdnZLEzX8UfL7mNLw1IuTj7KmHeeQBeZatLv4sLEL5FViouTr3Jp4nWK4QhgqHBkFVLYTDdtAnoKeykFY4z1pDj/XitByaKifpbLw4+vJJ5wuJHyuRKH9l1i984zfPnp9ay8o5UbRdmK1lWt7PzRTpy4w72/dS9SSSKRyBebEIJkykUqRRiEFCZLhEHITLCYAUq4JOwmRsvHmUobn4Lfi5NWrFo3j52vHKVU9Lh4ppfejhHSqxNcj7kL6vn6tzfzF//lNUaGc4yN5nn+x7uZPaeGZStbEIIvJIHElglsmSBu1VETWwIYQuMT6CK+zlMIBsgFfRT8fvJBH/mgn7zfR1mPE+gSoSmjTcDMMWgToE3AtRJIhJAIFFIoBAohJAKFEBKBRCAQQiGFhRQ2ChspbKSwUcJGChspLAQCISwEAhBIYVEhhEIgEQiEsJjKmACD4UraBIDBmBBNiDEhmgBtQowJ0YQYE6KNjzY+ofEJjYcmAKMxaAwaYzSGEGM0mhBjNIYQYzSuVUNTYgOuquFahWFIhe/7hGGI1prPypEWjrT4rFZnm/mTlQ+wpWEBlrRoSd5HR24HvYUDgOEyY0LaJt+gv/ARE34n2vhMFVMZpLCZbsVwmJ7CfryS4Px7cxjvTlOhbM3mh5pYtKSZG8X3As6e7uXVXxxi766zTE6WMMYwd349qSqXG8UYg1QSBGD4RL4fEvghtmNhWZJIJPL5lkjHsCxJGITkcyUCXzMTLGaAEi4Jq4l/y1AMetGmzNI1rdQ2VNHdPsT4SJ6Th9pZvGo2QgiulZSCu7Yspu3CAM//+EPKJZ/2i4P85G8+4I//02PUN1YRuUyghINSDjGVIWU300CFITQ+oS7hmwLFYJh80E8xGKQYDJMPBigEAxTDIfwwR2g8QlMmNAFguBUYNMZoICA0fKEYExLoIp83tW6K7U2LkUJQEbfqWVj1BMOl03h6kqnK4QTlcIKPE1NVSGym20DxGGPlDnqO1tO+bxY6FFQ0L/bZ9vACXMfls9Ja09M5ytuvHePd14/R1zOG1oaKj/Zd4tTxLjZuXsSNEHgB7UfaaVnZQuAFtB9rZ/l9y5FKcqXB/nFe+ukBKmrr09TWpamtS1NTnyKZconFLJyYjWVJIpHI7S+ZdFGWAnzKJR+v7DMTLGaAFBZxaxZS2GjjM1Uh6CUwRepnZVi8ajbd7UP4XsDxg208/PR6kmmX6+G6Nk88s4GOS0PsevcUWhsO7r3Ai8/v5zd/5z7iCYfIpxEo4aCUg0MVSauJOlZSYdCEukxgSgS6SDEcphgMUQyHKQUjFMMRisEQxWCIsh4nNB6h9giNhzY+Bk1kehlCfF3k80YAQgguEwiaE3fTlNhAR24HYPj3CCQxmUEKxXQKdJHuwh5GeuD0G/MoTThUuFUeGx+TzGtZxGdhjGF8tMCH75/l1V98xIWzffh+SIUQgrqGNNseWknL3FpupIb5DWSbs4R+yOTQJMYYPk5tXRonZvFPf7eHUGscx8KJ2SQSDjW1KWob0tTVV1FTl6K+oYraujR1DWkamjJYtiISidxe4skYypJUBIGmWPCYCRYzJGE1o4SLNj5TFYMB/HCcVKKGVRvms/utk3hln/Mnu+nvGWXB0llcr5raFN/47hZ6u0c5d6YXrxzw2ouHaG6t4eEvr8GyFJFrJ5BYMo5FHFSWlN3MZQaDNh6h8Qh1mcCUKIfjlMJRSsEIxXCEUjhCKRylHI5TDsfx9CSh8dDGJzQ+2vgYE2AwRK6PNiGBKXI9bNvGsiwqfN9HCMGtzJYpZiU20lPYQ6CL/HuksImpKqbbuNdO98hxzr4zh+FLGSqkMszfNMCGTXcTt7Jcr2LB49jhDl7+2UGOHGyjkE5G2Z8AACAASURBVC9zWSrtsn7TQh5/eh0rVrcQc21uFMuxaF7azGWpmhSfJObaPPrknZw82sXRj9ooFjyKBY/x0Ty93aNcppTEiVnEYjar1rbyH/7TY9TWpYlEIreXeNLBUpKKMAgp5MvMBIsZkrRnYckEvp5kqsAUKAR9pJ0FLF87h2xdiv7uUUaHcpw+3MH8JU0IIbguAhYuaeIb393Cf/+vrzM8NMn4WIHn/3Y3Tc3VrN0wDyEEkRtHIFAihhIxkGkq0nYL/8qgTUBofLTx0cYnMCW8cJKyHqccjuOFE3h6Ek/n8MJJPD2Jpyfxwhy+LhAaD2MCNAHaBBgTogkxJsSgiYAhJNBFrpUJDfXxeprmNuEVPHK5HNWZaj4Lg8YLJ7FkHCUcboTQeOSDfhyZoiu/i7PjPyfUZa6GFBaOyjCdtPFpn9zFmf2CS3ua0aGkombeOGsenmRuzXqksLhWQRDSdmGQ1188xK53TzMynMMYQ4XjWCxZ0cxjX72TTfcuJl2VQAhuqqbmap751ia62ocZHprk44ShpljwkFJy1+bFVGeTRCKR208iGUNZkoow0BTzZWaCxQyJyRpiqoZi0M9UoS6SD7qpaJydZeHyZvq7R/FKPsf2X+L+J9YST8a4XlIKNm1ZTFf7MP/4ow8oFjy6O0f4u7/aSW1dijnz64nMJIEUNlLY/Bqbf0ObEI2PNgHGBGgToAkIdBFf5/F1Hk8X8HWeQBcJTYlAlwhMkUCXCEyJUJcITJFAlwhMiUCXCE0ZY0IMGoPBGA0YDBpjNAYDaAwaYwwGzb8wgMHwz4yhwmAAw9UTCAT/QiCEAAQCAQgEAoRAIACJQCCERCARQiKQCCQIicRCyRiWiGFJFyViWCKOkjEcmaLKbuVaWcrCDVwGjg0QBiGtq1pJV6X5LAp+PweH/hsJq57W1FayscU4MgkIrtek38mhof8XIST9hY/w9CRXSwmbmMownSb9Xo6eOsKJV1spTzpUuFUey7/UxsJ5y6iOzeNaGG0Y6J9gx5vHeevlo3R1DBOGmgqlJM0tNTz0+Gq2f2kVjbOqkVJwKxBCcOfGBTzw2Gp+8ZO9+H7Ix5FSsOnexWzevgylJJFI5PbjJhws26IiDDXFfJmZYDFDlIyTtJsZK59iqtD4FPxujAlJJGOs3jif/TvP4HsBZ4910d89yrwlTXwWMdfm8afX0dM1ytuvHSUMNCeOdPKTH37A7//vD1NdkyRy65FCIVEguAYGYzSaEGNCDBptQgwhxoQYNNoEaOOjCQiNjzY+2viExkcbH218QuOjjY82PtoEgEETYoymQhOAMRg0hhBjwBBgMFRIFEJIriRQCCQVQiikUAgspFAIFFJYCKGQKKSwkMJCCgclHJSwkcJBCQclbIRQCBRCSAQKiUQIhUAihEIKi2tluzatq1rZ8dc7aFzYSOOCRqSUXC+Doa94kO7CB4Taoy33Fg3uGuakttMQX0tc1SCE4lqUwzEuTLxMT2EP2gSA4VpIYROTVUwXbQLO9u5mz4uK0a40FcrSLNjSxbw788yt2oojU1ytyYki+3ef59UXDnH6eDflsk+FEILqbILN25fx2JN3smBxI5atuNW4cZvHn1rHqWNdnDjSgTH8G8pS1DdWEYlEbl+WbeEmHCrCIKSQLzMTLGaIJVwS1mxAAIZ/ZcgHPQSmiC1TrFw/j2xdioGeMYYGJjjxUTtzFzcihOCzqM4m+cZ3NtPfO8bRj9oJQ82ud08za3aW3/ite4gnHCKfBwIhFAoFghllMIChQiAAwe3GaENxokgsESP0Q7yihxN3uF5eOEFH7j0CXaSiGAzSnnuH3sJeqmOLaE3eR3PyHtL2bJSI8Wm0CRgpn+H02HN05d9HG5/roYSLLVNMl9FCJ2+/dpL2Q9UYLRACGpaOsOSBDhozy2iKrwMExhhKRZ+YayOl4EpeOeD0iW5e/vlBDnx4gcmJIpfFEw5r1s3ly0+vZ836uSQSMW5ls2Znefqbm+juGGZ0JM+VfC/g5Z8dZGhgkie/voHFy2ZhWYpIJHL7UJYkkYxREQaaYr7MTLCYIUJYJO3ZSGGjjcdUBb+bUBexZYrmObUsXjmbgZ4xvJLP0X0Xuf+JO0ikXD6rlrm1/PbvbuVP/69X6GwbolT0ePH5/dTUpfjSE2uxbUUkcr0EAhDczkq5En3n+li+bTnjA+P0nutl4YaFSCW5HsPlUwyVjvPrDJ7OMVA8zHDpJOcnXqI5sYmW1FZqYktwZAoQXCnn93By9B/oLuwm0AWuV0ylUcJhOgS6zO79e9j/KgQli4pkXYEVj18k02CYm36AuFVDRU/XKK+9cIjHn17HrNlZLgtDTVf7MG++cpT33jzBYP84WhsqbFsxf1Ejjz65li3bl1Fdk0QIwa1OSsGGuxdy/yOrePH5AwRByGVCCIwx5CZLvPv6Mc6d6uGxp9Zx/5dWka1NIoQgEonc+iwliSdjVIShppgvY4xBCMF0sphBCWs2lozjhR5TlcJhynoMl3oSqRhr7lrA/p1n8MoBZ4910tc1yoJls/ishBCsumMO3/zuFn7wZ28xOpJnfKzAcz/aTW1dmru2LEZKQSTyRWXFLBZtWkS6Jo1X8vDLPkIIrkdgSnTmdlIOx/kkofEY99qY8Dpoy71Ng7uG1tQ2GuN3Ele1CKG4LGk3sarmO+SDPoZKx7lejsoghc2NZzjffoaXfnKRiSGHCtsNWPpgO41LR6hz76A1uQWBpJAv8+Jz+3n9l4dx4zbPfmcLliUZGc6x693TvPHSYS6dHyAIQiqkFDQ0Zbj/kVU89PgdNLdkUUpyO4knHL78zHpOH+/m5PEuMFBbn2bD3Qs5dqiDvp5RtDZ0tA3xw+/v4MjBNp569i5Wrp1DLGYRiURubdKSxBMOl5WKPloblBJMJ4sZlLBmYYkEHuNMFegCBb+HjLMYIQQr188jW5+mv2uUkcFJThxsY/7SJoQQfFbKktz3wAoG+yd47ke7KRTK9PWM8rc/eI/qmiRLVzQjhCAS+SKyYzbZWVkqrJjFZxHqMqEp4ag0XjiBwfBJDJpiMER77l16CnvJxhbRmtxKc/Ie0vZslIihhIOvc+SDPq4khMISLoEuYtB8mpjMoITNjTY2McrPn9tPxykNRiCkoeXOAeZv6SbmxFlU9RgJq54w1Ox69zRvv3aUQr7M268eY8WaVooFj1d+fpBjhzooFj0qhIB0VZyNmxfx+FPrWLpiNk7M4nY1u7WWp7+5ie7/MkIhV+bhL9/Bs9/eTNuFAX7x3D4OfHiBQr5Mqeixd9c5Lp7r56HH1/DIV9bSNKsaIQWRSOTWpKQk5tpcVip66FCjlGQ6WcwgR1XhWvUUgl6mCk2JQtDNZU2tNSxZ1UJ/1yheOeDIvos88OSdJNMuN4Ibt3nia+sZGpzk9ZcO4XshF8708bd/uYM/+o+P0jKnlkgk8tk4Ks26uj+mNXU/nbn36CscoBgOok3IJzP4Os9A8QjDpVOcn3iJWYm7aEneR7WzgM7cTkrBCFeyhMuSzNMIJP2lw0x4HXjhJIaQK8VUBilsbiQ/8Hnr7f3seaePMBBU1MydYMVjF3HTPk3xu5id3IwwkvNnevjZ3+9hYrxIRU/3KH/+n19hcqLE+FgeY/iVmGuzfFULX35mPes3LSCVdrndSSnYuHkR2x9eRdvFAR79ylpSaZeVd8yhZW4t7799il/+7AAdl4YIQ81A3zjP//hDjh3q4KvPbmTD3QtJJGNEIpFbj1QSN+5wWbnoE4Yam+llMYMskSBhNTPCUabSxifvd6ONjxQ2iWSMO+5ayN53T+OVfc4d76K7fYglq1q4UaoyCb7xnS2MDuf48P2z6FBzaP8lfvyDnfzuHz9IXUMVkUjk+gkkrqqhNXkfTfH1jHuX6Mp/QHf+Aya8dgJT4tOExmPca2PC66B98m2qY4sY9y5h0Fwp0AUKwSAb6v9PlplnGfMuMFA8ykDxMGPeJTw9jjYhAkFMVSGF4kbq6Org9ZeOU8gZKuKZMiseu0h1yyQJq55l1V8jrrKMDuf56Y8/pO3iAJfpUNPZPsxlSkla59XxyBN3sPWhldQ1pBFC8HmRSMb42rc2MTqSp2l2lgohoDqb5PGn17FidQsv/ewAu949zcR4Ad8LOH64nc62Ie57cDlPPLOBOfPrUEoSiURuHUpJYnGby0pFDx1qppvFDFIyRtKeDQjAMFU+6CY0RaSwEUKwcv1c6pqq6GkfZmRwkqN7L7JoRTNSSm6UhqYMv/27WxkdyXPqWBdBoNn17inSVXG+/XtbqcokiEQin50tE9S5K6mJLWVh1eP0FvbRmXuP4fJpvHACg+GTGDTFcJhiYZhPYjD0FvYxWDpGa/I+4lYdTfENlPU4Y94lBotHGSgeZtzvwFU1gOBGqq3NsPnBVibGzjMx6rNoWyez7xhAKcX89MM0xO/A80Je/+Uh9n5wDq0NVxICsrUptj64gke+spa5CxqwLMnnUdPsLI3NWYTg1yglWbi0id/73x5m7fp5vPD8fs6c7CHwQ8ZG87zyi484dayLJ57ZwL33L6OqOkEkErk1SCVw4w6XlYs+YWiYbhYzSKBIWi0oESM0JabK+134Oo8tq6hoaqlhxZ1z6e0YJvBDDu0+z8NPrydTk+RGEQLmL2rke394P3/xX1+j/eIAXjngzZePUJWJ87XfvJtEMkYk8nlm0BgTIoXNdJPCIm23kMo0Myd1P0OlE3TmdtJXPEAhGECbgOtVCse4MPEyDe4aYqoaIRSuqqEpXkNjfC1e+DQTfheuynKjVafr+OZvfJn58w7x3t43aby3CyumqXNXs6TqKyhiHDpwgV/+00FKRY+PI4TgvgeW890/uJ9kKsbnnRB8omQqxtaHVrJ4WTOvvXiIt187xvDgJGGgOX+mj//xZ29y5GAbT359I0tXNGPZikgkcnMJIYjFbaQUaG0olTx0qJluFjMsZbdiyThhWGKqcjhGMegnYc2iwo07rNu8mA/ePEExX+bimV4unelj7T0LuZGkFKy+cw7f+f3t/OX/8wZ9PWMU8mVeeG4fqbTL40+tI+baRCKfP4ZSOEJ/YRcCi9bUIwhhMRMEEldlaUneS1N8PeNeG135D+gufMC4d4lAl7h2hv7CR/QU9jIv/SUEgssEipiqpl5VM13isSRb77mHZWtqOZ0LGSmfYUX1N0k7LfR0jvLc3+5msH+CT6K14eTRLoYGJ0im6vmik1Iwe04Nv/27W1mzfi4v/OM+jnzUTrnkk8+Vee+tE5w73csjT67lwUdXU1ufRghBJBK5edy4g1QSrUPKRY8w1Ew3ixkWt5pwZIZyOMpUoSmQ97uoddfyKwKWr53DrNYaLp7uZWKswKEPz7FqwzwsW3EjKSXZdO9i8rkSf/0X7zAynGNivMg//vADYq7NQ4+vwXEsIpHPB4MXTjBQ3Ev75IsMlw5TE1tFY2IzMZVlplkyTq27nGxsMQurHqe3sJ/O/E6GSifwwnEMhqvl6UkuTLxMU3w9cauOT2UMBAFYFhgDWvMrvs+vOA4oxbWQUtGUXkYm8SeMl9uoc1dQzPu88Nw+ThztxBjDp7l0foC3XjnKt393G07MIgIx12bD3QuZv7CRt187ymsvHqK3axStDV0dw/z4Bzs5erCdr37jLu5YN5eYaxOJRG6OWNxGKUngh5SKPmGomW4WM8xWKRL2bCb9NqYKdYmc34FBI5BU1DZWseauBbSd7UOHmiN7L/LEt3LUz8pwo9m2YvvDK5kYL/IPf/0+uckSI8M5/u6vdhJzbbY9uALLVkQitzNf5xguHaJ98kUGi/vxwgnAMOlfIu93E1NZbhYpLFJ2M4syTzIntY2h0kk68zvpzn9AIRjkag2VjtOV38WizJMIJJ9oZAT274d774X+fjh/nl/p6ABjYPly2LQJHIdrI4irWuKJWsJQs+vdY7zz2jECP+QyIUAphW0rLEdh2wrHsUil44yPFpiYKFJXnybyL4QQ1DWkeeZbd7N67VxeeH4f+z44Tz5XolzyObDnApcuDPDgo6t59Kt3Mmt2FikFkUhkZrmug1KSinLJJwxCppvFDLNEgpTdSj+/zmDI+Z2Euoglk1TYjsWdmxfxzouHmBgr0HVpkDPHOqmflWE6xFybx59aRyFf5uc/2UshX2awf4IffX8HjmOxeetSlCWJRG43oSkyUjpBx+RL9BU+oByOAIbLyuEYo+Xj1LgrAcHNJBDEVDWzk5upd1ehjceFiVcBw9XwdYELk68wK3EXKbuZT5TLwd69UFcH7e2wYwdks/C1r4Hnwauvwrx50NrK9ertHmXXu6eoqUszd0EDVZk4mWyC6mySTHWCqkyCquo4mUyCVFWcmGvhOBaJZIzIv2XbihVrWmiZW8vaDad46acHuHR+gDDUDA1M8LN/2MOxwx189esbuWvLYpKpGJFIZOa4cRupJBVhoCkXfaabxQyTwiZptyKFjTY+U+X9TgJTwCLJZYtWzGbOokaOH7hEIVfm4K6zbLxvCbG4w3RIpmI8861NlMs+v/yng5SKHn09o/zNf38X21FsvGcRSkkikdtBaDzGy6fpyL1Mb34npWAAg+ZK2niMlI8xVz+JJRPcKorhCMOl04DhWoyUztCR28Gy6m8gheIT9fbCW2/B0BC0tUFLCyxZAp4Hr74KuRyfRXU2yR/9ySPYjsKyFbatsG0Ly1ZIKYhcn6pMnC89sZZlK2fz8s8/YudbJxkfy+P7ISePdtLVMczRj9p54mvrmbewAaUkkUhk+sXiDlJJKrTWlEo+083iJkjZrVgijmd8piqFQ5SDEVxVz2WZmiTrNi/i9OEOgiDk2P5L9HaOMG9JE9MlXRXn2W9vxisHvP7iYcpln66OYX7wZ2+DgY2bF6GUJBK5VWnjM+FdoCv3Ot35tyj4PRg0n2asfJpSOERKzuFWYND0FPYw6XdxrbTx6crvYm76QZJWI59o7lx49lm4cAGKRRgZgY4OKJXA9yGdRmuNEAIhBNcqlXZJpV0iN55SkvmLGvmd//Agd6ybxy+e28vpE934XsjEWIHXXjzEqeNdPPHMeu57cAWZTAIEkUhkGsXiDkpJKsJQUy56TDeLmyBptWDJFJ6eYKpA58kFXWRiS7lMKcm6LYt57fn9DPSOMdg7xuE9F5izqBEpBdOlOpvkW//LvZRLPu+8fhzfC+hsG+QHf/YWFRs3L0IpSSRyKzEmIOd30pV/na7cG+T8TowJuBqlYIBx7ywpew63glIwQlfufULjcTWUcIipDFX2HOrcldTH1+DINJ/IdWHBAqithVIJ7rsPPA9eeIFf2bIFGhpoa2ujVCoxf/584vE4nyfGGHzfR2tNhe/7FItFtNZMJYTAtm1c10VKSYXjOEgpudkSCYct9y9j4dIm3njpMG+9cpTBgQnCUHPxXD8/+PO3OXKwnSef3ciylbOxbUUkEpkebtxGKUGFDjWlos90s7gJHJUhYTVSCHqYKjBF8n4nYADBZa0L6ll+51wG+sbwygH7d57h/ifWkqlJMp1q69J8+/e2obXhvTdP4HkBne1D/ODP38IYuGvLIpSSRCI3m0FT8Hvoyb9DZ+4VJryLaONzLQKdZ6R0jFmJbUhhc3MZBkpHGSmf5ZMIFLZKkrQaqYktpTa2jFp3OSm7GUemkcLiU9XVwVe+Aq4LixfD/PkgBAwPg1JQWwuWhVKKI0eOcO7cOdauXUtzczO2bXO78n0f3/fJ5XJorTHGIISgwrZtUqkUUkquVC6XmZycxBiDMQYhBBXxeBzXdbFtGyklN4OUguaWLN/6nftYvW4uv/jHvRw52Eap6FPIl3n/nZOcO93DI19Zy4OPr6G+oQohBJFI5MZyXRulFBVhqCkXPaabxU1gyQRJu5Wh0iGmMiYk53cSGg8lYlwWT7ps3LqUfe+dppgvc+FUD+dP9bB+y2KmW0NThu/94f0IATveOIHnBXS2DfGDP38LrTWb7l2MZSkikZsl1EW6829xaeKfGCufJjRlrofBMFo6jqcncFUtN5OvC3Tm3sPTOaZSIoarqsk486h1V1LnrqDaWYirslgyBgiumlKQSPArUoJt8yuzZzPVnDlzqKmp4dixY7z33nvMnj2bO+64g5qaGqSU3A601hSLRXK5HFprpJSkUimUUjiOg5SSf4/rumQyGSqMMfi+TxiGFItFRkZGqIjH4ySTSWzb5maIxSzW3TWfeQvreff147z6i0N0dw6jtaGna5S///92cfSjDn7jt+9h7YZ5KCWJRCI3jmVb2DGLCh0aSiWf6WZxEygRI2XPQaAwhEyV9zsIdAGlYlwmBKxcP4/Z8+o4f6KbybECB3aeYc3G+diOxXSrb6ziu39wPwjBjteP43kBXe1D/I8/fZNyyefeB5bjOBaRyM1gMAihcFQ1lkygQw+D4Xrk/HZyfgeuquVmGi2fp794CCEkjkyRtBqpdZdTG1tOrbucpNWELVNIoZhuQgjS6TR33303Cxcu5KOPPuLFF19k1apVLF26lFQqhVKKW5HWmnw+Ty6XQwhBOp3GdV2UUnwWQggcx6EiHo9jjMHzPAqFAoODgziOQ1VVFY7jMNOEENTWpXnqG3exck0rL/50P3t3nSM3WaJc9jl88BLzFtazau0clJJEIpEbRyqBE7Oo0FrjlX2mm8VNIUjarSjpEug8UxWCXrxwjJjKMlVdYxXr7lnExdO96FBzeM8FBnrGmD2vjplQ31jFd39/OwJ4943jeOWAnq5R/uq/vU2x6PHgo2tw4zaRyEyzZIKW1GM0xjczUj5OX34nA8U9FII+tPG5Fp6eYLR0jFp3LQLBzaBNyKh3jlp3OTWxpdS5K8k4c3FVFiVi3CxSShobG3nooYd4/fXX2blzJz09PWzbto1sNsutplQqMTY2hpSSbDZLLBZDCMF0EEIQi8WIxWJUVVUxOTnJ8PAwruuSyWSQUjLTLEuxfHULLXNrWbthPi/99AAXz/Uxe04t9z+ymljMIhKJ3FhSCmzHokJrg+8FTDeLmyRlz8GWSQKdZyovnCTnd5J25jOVZSvWb13KWy98xMjgJL0dwxzec4HmObUIKZgJ9Y1VfPcP78dxLN585Qilos9g/wQ/+v4OigWPx59aRyIZIxKZaQKBo6ppStxLfXwDk14b/YUP6CvsYtw7R6DzXA1tfEbKxwh0HlumuBmEEMxNPcT89CPYMolAciuxbZtMJsPixYsZHR2lXC5zKzHGMD4+Tj6fJ5vNEo/HEUIwU5RSVFdXk0qlGBsbY3BwkGw2i+M43AzpqjgPP76GZStn88YvD9Myt5YFixu5ZoUCHD0Kg4OQSsGSJTAyAgsWgO9DdzcsWQK2TSTyRSWkxHEsKrQ2+F7IdLO4SVyrjrjVSDEYYKrQFMj5bcB9gGCq+UuaWLqmlQ/fPkm55LPnnZPc+8gqMtkkM6WuPs23f28bbtzmlV98RD5XZnQkzz/8zS7yuTJPPXsXmWyCSORmUcKlOraMjLOYOeknuDjxHOfH/o7QlLka4+WzlIJBbCfFzSCQuKqaW51lWUgpuZUYYxgZGSEIAhoaGrBtm5vFsixqa2uZnJxkaGiI2tpaYrEYn1XghyhLIoTgakklmbugnu/+wf0gwLIk10Rr2LcPDh6Edevg9Gk4ehQKBXjmGcjnYdcuaG0F2yYS+aKSUmA7igqjNb4XMN0sbhJLJEnZcxkpHWMqbQIm/TZCU0YJl6lSVS73PLCCwx+ep1jwOHe8m7PHuti4dSkzqbomyTe/dy+JZIyf/2QvE+NFJseL/Ozv9zA6kudb39tCQ1M1QhCJ3DRCKGIqizY+2gRcrVI4xJh3irQzn8jtwxjD2NgYYRhSX1+PlJKbTQhBVVUVSilGRkaoq6vDtm2uVxCE7Hz7JOVywLpNC6irT6OU5Go5MYuPUywWGRgYIAgCPk7Ktqk/cwa5YgVs2wbpNPzkJzA6Cj/9KZTLEAREIl90Ugpsx6LCGPC9AKMNQgqmi8VNoqRL2p6HQGEImSrntRHoAkq5TCWEYM2mBbQuaODs8S4mxgvseecUazYuIBa3mUnpqjhPf3MTbtzhub/dzehwjmLR481fHmZ8NM+3f28b8xc2IKQgErlZ8n43/YXdGEJ+ncBRGYwJ8XUOMFwW6CIjpWPMTj6EFA6R20OxWKRUKtHQ0ICUkltJMpkkCAJGRkZoaGhACMH1MBpOHu3ijZePsGBRA5u3LWPTvYtpbq3BthXXa3x8nCNHjlAqlbiSEIKWhgZqADk6Cp4HY2MgBNTVwebNkM/D8eNEIl90Ugpsx+IyrxygtUFJwXSxuEkEgpQzD0vG8XWOqQpBH+VwhJiq4Uq1jVVs3LaUC6d7CYOQw3vO090+xIJls5hpiWSMJ55ZT7oqzt//9fv0do3i+yEfvn+WsdE83/2D+1m9dg7KkkQiM82g6S9+SN7v4kqWTLA8+we4Vj29+R0MFQ9QDAcxJgQMo+UTlMMx4lYDkVuf1prx8XGqq6tRSnElrTW+72PbNsYYgiDAcRyEEBhjKBaL+L6PbdvE43GEEHwiY6BYBM8D2wbXhSAA2wZjIAjAcUAIpkqn0+TzeYrFIolEgutlgFLR4+SxLs6d7uXNV45wz9albNm2jLkL6nHjNteqoaGBRx99lE8ihcCqqoKXXoIf/hBGRuDuu6GvD5YsgXweentBCCKRLzIhJbZjcZnvhWhtUEwfi5soZc/Blil8nWMqX0+S8zuochZxJctSbNy6lLd+/hH9PaMM9oxx4P2zzF3ciFKSmRZzbR54dBXZmiQ/+ssdnDvdiw41J4928ef/+RW+/p3NbH1gBfGEQyQyk8rhCL35HYSmzJWqnEU0J7cTtxppjN/NhHeB3sJO+gsfMOm1kfe7mPQvEbcaiNz6PM+jwnVdPs7Y2Bg7d+5k69atTExMcPz4cR566CFc16Wjo4MdO3YQhiFSSr70zapZZAAAIABJREFUpS/R3NzMJ+rogHfe4VeCAJYtg8FB2L4dJibg+HF46CFwXaaSUlJVVcXQ0CippMYYw7UK/JBSyeMy3w9pvzhIV8cwO944zrq7FnDv/ctZtmo2yZSLEFwVKSWO4/CpVq2CTAb6+6G2FpqbIZeDmhqoqYEnn4REgkjki0xKge0oLvO9AKM1oJguFjeRq2qIW00Ugj6mCnSRSa8NkzQIBFeas7CB1XfNZ+CFMXw/ZN+OUzzwlbXUNWW4GSxLsf7uhaQzcX74/R0cPnCJMNB0tA3xgz99i57OEb769buoqUsRicyUkdIRxspnuJIUNrMSW3FVPSCwZJIadw3VseXMTX+VweJe+vLvk/M6qI9vRCCJ/Lp4PI7WmiAIsCyLm61YLJJIJBBC8HFKpRIHDhzAsizGx8fp7Oxk+/bt+L7P7t27icVibNu2jYsXLxIEAVprwjDkSjIMUbt2QSwGDz4Ie/bAm29CPg+OA+Pj0NkJ27fzcRzH4ciBdt5+5TS+F3KtjDEMDkxypTDQ9PWM8eoLh/hw5xlWr5vLvduXs2b9XKqzSaQUfGa2DQsWwPz5IAS/kkrxP8XjRCJfdFIKHMfiMt8L0NownSxuIksmSTvzGC4dZipDSM5vI9QlLBnnSvFkjLsfWMGed06Rmyhy6WwfR/dd5P6vrEUIwc0gpWDpimb+1//4KD/56/f/f/bgM0iv6zDQ9HvCvfeLnRMa6G4kAkTOTADBAAbRIiUqWrYsydY4jVe2d2pn989W7c/Zramt2tpxKNmz9owsS7JlWdkixUwCJEgCIEEQici5G53Dl24456whD+VWm4QAAg00wPs8bH3+ILVqxNhohe9+6zV6z47wuS9tYu6CNqQUpFLTKbFlzpVfILYTTJXTs+jIb0QIxWRSeBS8LvLeHDrzWzCuSurfCishbcU28j15RvtH8YXP9RaGIQ0NDVxMtVrl1KlTTExMUKvVKJfLWGsZGxtj/vz5tLe345xDa82xY8fYu3cvSZLwLiEECzo7WT4wgF62DNraoLUVSiUol+HUKZiYgCji/Xieh4kFhw/2EkeGq805x8hwma3P7mfXq8dYtqqLxz97G2tum4dSkqtCCFKp1HsTUuD5mnfFUYK1jumkuY6UCCh4cxFC41zCZBPxSRJXRpPlvSxd083CZbPZvf0IlXLItqf2smHzYooNOa4XIQRdPc38zh89SGdXEz/6zk6Gh0qEtZiXnj1A37lRPvuFu1h/x0IyWY9UarqMR0cZrO4EHJMJJK3Z2yl4PbwfgSBQjUAjqX8rqkac3HmS9vntDBwfoLGhketNCIFzjovp6Ojg0UcfZXBwkO985zt8//vfp6enh/b2dt566y0KhQK7d+9m8+bNdHd3s3btWpxzTFbM5VB9ffDGG9DYCG+8AXPmQK0Gjz4Kg4OwdSvvxzmHsYbp5gceHZ0N3LpsNu2d9UgpSKVS009Kiedr3hVFCdZappPmuhIUvblokSV2E0xWTc5TSwbJqBbeS31TgU0PLuPAmycJazH73zzJwT2n2bB5MddbQ1OeT33+TjrnNPF3X9vGyWMDWGN5Z99Z/vQ/P8HDH1vDo59cR0tbESEEqdTVZF1Mb2UrVTPIVL6qpzN/D0pkSH0whcYC7fPb2fGDHazYsoL69nqut1wuR7lcJpvN8l6KxSIbN26ksbGRIAi48847ieOYM2fO8Mgjj3DBG2+8weLFi5k/fz65XI66ujre0/33gxCwfTvMmQPr1sGZM9DYCEEAd9wBvs97ieOY1o48n/y1OzCJ5XIZY9nzxkmOHupjKiEglwtYsLiDu7csZcMdC2ibVY/WissV1SIu0L4mrsboQKO0IpVKXZyUAi/QvCuODM46ppPmOit4XfiqSGwnmCy2JUrxKRqCW3kvUgrWblpE93d3cnjvWcZHKmx7ai/L188jm/O53jIZj80PLKW9s4Fv/NVL7N55gjhKGB4q8Y/f3M6xw3189osbWbJ8NlorUqmrpZr0cb6yDecSpmoKVtAYLCN1ZZxzKK1wzjETBEHAxMQExhiUUkxVLBa56667uKBYLLJ+/Xpee+01WlpaaGxs5PHHH8dai5QSIQQXVV8PH/84WAtSghDQ3c3PFIvQ3s77qVarLF3RzcbNq/gg4ijhL//LMxw91Me7hBDUN+RYvrqLTfctYeW6uTQ1F5BS8EE46+g73MfAyQFa57bSf6yfJXcvId+YJ5VK/XKep5FSYK0jjhKsdUwnzXXmq0ZyupNyfI7JjK0yER3DYRFI3kvrrHruuH8px9/pI4kNu7cf4cShPpas7mYmUEqyZPls/vB/+xV+/N1dPP3j3YwMl4nChNdfOcLZ08N89BPruP/h5TQ0FRCCVOqKOCz91deZiE4wlZZZZuXvxVP1fKg4cDiEEFwN44PjnD96nvWPrefMwTOM9I7Q0tXC9eR5Hp7nMTExQUNDA79Ma2sr99xzD57nkc1mEUKglOKSCQFKcTniOKZcLtPa2opSkg/CKoUQgguUkjS3FlmzYR6bH1jKrctmUyhmEEJwJYQUtPS0cPKtk+z60S5WPrCSbF2WVCp1aTxfIaQA64ijBGsd00lznWmZp+jPY6C6k8kclvH4KImt4MkC70VrxR33LeG5H77J2RODDJ0f55Vn9rFwaSeer5kJhBB0dDbw+X93NwsXtfOdb2zn6KHzGGM5c3KIv/mLF9i7+xQf/+wGlq7swvc1qdQHFZkxesvPY1yNqYrePFqzGxAIPiyMsezffYryRI11G2/B8xRXSirJojsX0drTSrG1iOd7XG9CCOrr6xkYGCCbzRIEARejtaaxsZFrxTnHyMgIuVwO3/e5Ep6v6J7Xwm0bb2HTfUuYt6CNbM7navIzPkE+ICyH5BpySClJpVKXRnsKIQQXmMTgnGM6aa4zJXzqvAVI4WNdxGQT0XFiO44nC7yfOfNaWH/3InpPD2OMZceL7/DA42vpWdjOTJLN+mx+YBldc1v5x29u55UX36FSDqlWI1558R2OvNPHw4+t4qFHV9PaXocQglTqco2EexkO9zGVEJr23CayuoMPiyQ2vPbSO3z9z56lVov57f/wMHfevwSlJFei2Fyk2Fzkgvb57cwUvu/T1NTE4OAgzc3NZDIZZgLnHENDQwghaGho4EooJbjvoeU88rE1zJrTiO9rrjbnHP3H+6mVaiy8bSEn3zpJ46xGMoUMqVTql1NaIqXggiSxOOeYTpoZoOgvwJN5QhMxWWiGKcdnyOlO3o8feGx8cDnbntrL0Plxzp0aYvuz+5k9twWtFTOJlIIFi9r5vf/5IW5dNpt/+u4uTp0YxBjL+d5R/u5rL/P2m6d49JPrWHv7fPKFDKnUpTKuSm/5RWIzxlRZ1cas/N1IofkwCGsxLz21l2989XnOnx3mgr//q5fomtdKz8I2blbZbJaGhgYGBwdpbGwkl8shhOB6ieOYkZERhBA0NzcjhOBKSCVZvLSTODYcP3KeMExQSqKUREqB1hIpJUpLpJQoJRBCgAApBNmcTz6fAcH7ctbhnGPRnYuob6vn3KFzJFFCKpW6NEpJhBBcYIzFOcd00swAeW82GdVCaEaYLLYlxqOjtGY3AIL3s2BJJ6vvWMhzP3yTOErY9tRe7n54BbPntjAT1Tfk+Ogn1rF0ZRc//M4OXn7+IBPjVaIwYffO4xw7fJ7bN93Cw4+tYdHSToJAk0r9MhPRCfqrr+Fw/CJBa3Y9RW8+HwbVcsjTP3iTv/+rFxkamOCCXCFg5YZ5NLYUuNnl83m01gwPD1OtVqmvr8fzPK4l5xylUonx8XHy+Tz19fUIIbhaktjwxPff5JUXD4IQCAECgZAgEAghQICUAqkkUgqaW4p87ksbWXv7fASC9yOVZPbi2SD4mQXrFoAglUpdIqUVQgguMInFWaaVZgbwZR1Ffx5j0WEmsy5mPDqKcRFKBLyfXCHg3o+uYte2Q4wOlTh9tJ/tz+3nE1/ahFKSmUhpycLFHfzuHz3IitXd/PAfdnD00HmSxDA2WuGZn+zhrV0nueeBpdz/yAq6e1rQniKVei/OJfRVtlFNzjOVr+rozN+HljludqXxKj/6+9f43tdfYXy0wgV1DTke//ydPPa5OyjWZ/kwCIKAtrY2xsfHGRwcJAgCisUinucxnay11Go1xsfHEULQ3NxMJpPhastkPVas6eb5p/ZSKYf8MvlChoc+uoqlK7sQQvBLCf6VIJVKXQalJELwMyYxOOeYTpoZQMksdf4CBBKHZbLx6BiJLaFUwMXcuqqLVbcv4KUn9hCFCVuffJuNDy5nVlcTM1mhmGHLIytYvLSTn/7oLV58Zh8D58ex1nG+d5Tvfus1Xnv5MJu3LOXuLUuZ3dWE5ylSqcmqZoC+ylasi5mqwV9CU2YFN7uRoRL/+LVtPPGdnZRLNS5oai3y2S9v5uHH15LNB3yYKKVobGwkjmPGx8cZGBhAa02hUMD3fbTWXA3OOaIoolqtUq1WEUJQV1dHNptFCMF0EEKwYm0P8xa2se+t01xMNuvz6CfX8ein1pPN+aRSqemltUQIwQXWOqx1TCfNDCCQFP0FaJkjtiUmqyTnqCYDBKqZi8kXs9z70VW8uf0I4yNlTh4+z+svHOSxX78DqSQzmZSS7nmtfPF372HDXQt58odvsnP7ESbGqySJ4eSxAf7u9DZeenY/G++9lbu3LKWrpxnf16RS4Bis7mQ8OspUSgTMyt+Drxq5mfX3jvKtv3yB53+yh1o1Qgho72zk879/H5sfXkGQ8fiw8jyP5uZmkiShVqsxPj6Ocw4hBNlsliAIuMDzPJRSXIxzjjiOsdZijKFcLmOM4YJMJkNTUxO+7yOEYLoYYxkdLnNo/zmscVyMH2gefHQVn/78nRSKGVKp1PRTWiKk4AJnHcYYppNmhih6c/FUHbEtMVlsJ5iIj9EQ3MrFCAHL1vawYv1cXnlmH2Et5qUn9nDnlqW0dTZwIwgyHqvXzWXhog52vX6Un/5wN/vfPkOlHBLHhpPHBjh7apitzx7gto0LueveW5l/Szu5XIAQpD6kIjvBufILJLbCVAWvm7bcHQgkNyPnHGdPDvH1P3+OV57bTxwlCCHomt/Kl77yALdtXoznKVKgtaZQKFAoFEiShDiOqdVqjI6OcrmccyilyOfzaK3xfR8hBNPFGsvEeI1TJwbYvfMEb7x+jFPHBylN1Hg/2lPc88AyPvebm6hvzJFKpa4NqRRCCC5wzmESy3TSzBAZ1UxBd1GJzzGZsVXGo6M4ZxBCcTGF+iz3fnQ1e14/xsRYlWMHe9nx0js88tnbkFJwQxBQqMuwectSVqzuYccrR3jmiT0cOnCOaiUiSQynTw5y9swwLz6znxVrurlj0yKWreqiqaWA1orUh8toeJDh2ltMJVC05+4irzu5GTnnOPZOH1/7k2fYtf0wJrEIKbhlSSe/+YcPsur2+SglSf1bWmu01mSzWS5wzpEkCcYYLkYIged5SCmZbtZaJsZrnD4xyNtvnuStN05y4kg/Y6MVjLFcjFKSOzYt4jd+ezMtrUVSqdS1o7VECH7GOYdJLNNJM0NomafOX0B/9XXA8S6HYzw6SuIqeKLIxQghWLFhHkvXzOX1Fw9Qq0Y8/6PdrL97Ee2zG7mRCCFoainw4KOrWHfHfHa+epSXntnPgb1nqZRrWGMZ7B/nhaf28tq2w/TMa2H1hnms2TCfeQvbKNZlkFKSurkZF9JbfoHQjDBVRjfTkb8HKXxuNtY6Du45zX/7f59i35unsNYilWT52h5+848e5NYVXUgpSF0aIQSe5+F5HtdTFCaMj1U4c3KI/W+f4e3dpzh+5DzjoxWSxDKZ52taWovM7m7i4N6zlCZqXCClYM2Gefzm799HR2cjqVTq2lJKIoTgAuvAGMt00swQUngU/QUo4WNcyGSl6CSRGcWTRX6ZusYc9z22mn1vnKA0XuXI/rNsf24/j/36nSgludFIKWhpq+Phx1Zz+8Zb2L3zBFufO8C+t04xNlrBWkelHHJg71neOdDLkz94k/mLOli5poflq7uZ09NMsS6D1orUzaccn6a/sh2H5RcJmjNrqfdv4WZjEsubrx3la3/yNEcO9uKsQ2vFuo238KWvPMC8Re0IIUjNfEliqJRCBgcnOHKwl4N7z3LoQC/n+0YpTdQwiWUypSX19TnmL+pg/R3zWbV+HnV1Wb76//yUbc8fAARLV3bxW39wP11zmxGCVCp1jSktEUJwgbMOkximk2YGqfPn48kCxoRMFpoRSvEp8l4Xv4wQgjV3LmDlbfPZ/ux+wlrM8z/azYbNtzK7p5kblRCCxuYC9z60jPV3LuDwgV62b32HN18/Tl/vKFGYYI1lZLjMrleP8tbO4xTrc3R1N7N42WwWL+1k7oI2Gpvz5HIBSktSNzaH4XzlFcrJOabyZJ7O/L14Ms/NJI4Mr754kL/502c4c2IQ5xx+oNn4wDJ+49/fT2dXE0IIUjOPtY5aNaJSiRjsH+f0iUGOH+3n+OHznDk1xNhohbAW4xy/QGlJXX2OeQvaWLm2hxVre+ie20KxLouUAuccG++9lTdeP07nnEa+/Af3s3BxB0IIUqnUtaeUQgjBBc45jLFMJ80MktOdZHQbNTPEZLErMxoeoi13FwLBL1NsyPHA42vZt+sEYyNlThzq4+Wn9vLJ39qE1oobmRCCYl2WtbfPZ/nqbnrPjbB7xwl2vXqUwwd7GR0pY4wlSSwjQyVGhkq8vfsU2ZxPfUOOrrktzJ3fSve8FmZ3N9PSWkcu7xMEHp6vEEKQujHUkiF6yy9iXcRU9f4imjNrAMHNIqzFvPDEHr75F8/T3zuKc5DJ+mx5dDWf+917aG2vJzUzJImhVo0pl0IG+8c5e2aYc6eHOXd6mLOnhxkaLFEp1whrCc45pvIDTX19ju75rSxf1cWKNT10z2ulri6DVJLJhBCsXNvD5i1LuHvLUpau7EIIQSqVuj6UkgjBv3AOYyzTSTODeLJInb+Q0fAAkzmXMBa9g7EVtMzzywghWLFhHqvvWshLP9lDFCa8+JO3uOP+JXQvaONm4QeannmtdPe0cP/Dyzl5fIC3dp1gz5snOXl0gPGxKklicM5RKYdUyiG9Z0fY8coRgkCTzfnU1edon1VPa3s9za1FmloK1DfkKNZnKRQyZLIenqcRQiAkH0oCEEKAEEwl+GdCIPgXQvLPBEKAEAIh+GcCIUAIgZACKQRCgJACIQRCCKQUXB7HUO1NxqJDTCWFz6z8PWR0MzeLSjnkye/u5B/+2zZGBie4IF/M8NHPbOCTX9xEQ1Oe1LVnrSMMY2rVmNJ4lfO9o5w7M8K5MyOcOzNM79kRxkcrVKsRYS3BOcd7kUqSy/m0ttdxy62zuHXZHBYtnUXHrAbyxQxKSS6mqbnAl/9gC4W6DFIKUqnU9SOkACG4wAHOOqaTZgbRMkODv4gzwsO6mMnGo6NEdgwt81yKfDHLA4+vZc/rxxgZmODU0X5eemIPv/p79+F5ipuJkIJifZblq7tZsmIOH/3kOs6cHOLA3rMc2HuG44fPMzpSplqJsNbhnKNWi6nVYkaGy5w8PsAFQgg8X+F5Gs9TaC1RWuIHHlortJZ8GAkBSimEEEwllUBKgeCfCYHSEikESkuEECglkVIglUQridISrRVKS7RWKC3RWqG1RHsK39N4vsLzNJ6v8HyN5yl8X+NnPIJAE2Q8/GzMGZ4jtmWmysgOmvRt2EQglUMIwY1sfLTCD7/1Kj/45qtMjFW4oL4xzye+cBePfvY2CnVZUtPLWkcUJYS1mHIpZLB/nN6zI/SdG6Xv3Ah950YZ7J+gWgmpVmPiKOFiPE+RywfUN+bomdfK/FvaWbCog7kL2mhozBNkPITgkkklqW/MkUqlrj8hQPA/OHDOMZ00M4qgPliEJwuEZoTJamaQiegkOd3JpRAClq7uYf3di3j2+2+QxIaXntjDHfcvYeHS2dyslJI0NOZpaMyzbFUXlXLE8NAEJ44OcOxQH8eP9nP21DCjo2VqlZgoSnDOcYFzjihMiMKE1LUnhEBKgZQCIQVSCqSUCCGQUiCVREmBVJJZtw5x2xe34+UdkzkrOL67mXeOHCATnCLIeGRzPtmcTzbrk8sFZHM+2ZxPNueTyfpoLVFKorREKYVSEqUlWkuEEFxPw4MTfPuvt/LU93ZRKYdc0NJex+d++x62PLaGbM4ndfWYxBKGMbVaTHmixkD/OP19Y/T3jdHfN0Z/3xgD58cpl0Kq1YgoTHDO8X6EEPi+JpvzKNZl6ehspHNOI3N6Wuie28KsOY0U67Jkcz5SClKp1I1PSAGCn3GAc0wrzQyT97rJqDZCM8JkiS0xFr1DW+4OBIJLkSsEPPCxtbz5yhEG+8Y4d3KIp7+3izlzW8nkfG52QgjyhYB8IaCrp4W77llMtRJRmqhxvneUc2dG6D07wvneUYb6JxgeLlGtRMSRIUkMSWKwxmKMwzlHano55zDGYQwXpbRl4ZxD6GyJqaoTPjv+Kc+ZvW/zLikFSkuUkiilUEqitEQpiecpMhmPbM4nm/PJ5gKyOZ9cPiCfD8gXAnKFgHw+IFfIkC8E5PMBmayP5ymUlmitUFqitUJriRCCK+Uc9J8b4Rt/8QIvPrmHsBYjBMya08Rv/MEWNj2wDD/QpC5fkhiiMCEME6qVkOGhMkP94wwOTDDYP85A/zgDfWMMD5WpViPCWkwUJjjnuBilJEHGI5v1aWjK0zmnkc6uJjrnNNHZ1Uhbez2FQoZMzsfzFKlU6uYkhODnnMNZx3TSzDC+rKM+WMhY9A6TWZcwFh7C2Cpa5rhUi1bOYeODy/jxN1/FGMvLT+/j9nuXsOauWxCCDxWlJIVihkIxQ0dnA6vWzcUaSxgmhGFMWIuZGKsyNlZlYrxKpRRSq0bUajFJYjCJJTEWZx0psNZhjOVd1lqMsTjrMMbiHJjE4pwjMQaTOExiSIwliQ3GWJLEYBJLEhvi2BAnBmsczlqsc1jrcNZhrcMYi7WOQusY3avOI6RjqvOHmhk4Uc9k1jpsZIgxQMzlUEqitEQpidYKrSVKKzxfkc8H5PIB+XxArpChUAzIFzLkCxnyhYBCMUO+EFAoZMgXMgQZD60lSiu0lmitUFqilGQy5xynjw/wN3/2LK+9cJA4NgghmLuwjS9+5QE2bFqE9hSpf8s5RxJb4jghihKiMGF8rMrIcImRoTIjQyWGh0oMDUwwODDByFCJajUiChPCMMYkll9GSoEfeGSyHsVilraOejpmN9DR2cCszkY6ZjfQ1FwgmwvIZD2UkqRSqQ8PIQRCCN7lnGM6aWYYLbPU+4uQ4qdYlzDZeHSEyI6hZY5Llcn6PPiJdezefpSTR84z3D/BE//wOguXzqauMceHnVSSbM4nm/O5oH1WA+/HWYdzDkfqAufAOcfPOYdz4HA4BzhwznGBdQ5nHc45nANnHc45rHM453DWYa3DWkccG+IoIY4NcZwQR4YoSghrMWEtYlj9E2pWmamEzVDn7mD1moWE1YSwFhOGMdVqRBIZjLEYYzHGYhJLYizGWKyxvB9jLMZYLodSEqUlWiu0lmit0J4ik/HIFzPkCwGFQoZcISCfz5AvBuTzGfKFgHwhIK7FPPGdnezZcQxjLEIIuhe08YWvPMDq2xeAAOccQgg+LKx1JIkhiQ1JYkliQxwnlEshY6MVxkYrjI1WGBupMD5aYXS0zMhQmdGRMpVySBQlxGFCFBmstVwKpSRBxiPIeBQKGVrai7S119M+q4GOzgY6Ohtoaasjlw/IZDw8XyMEqVTqQ04Ifs4Bzjmmk2bGEdQHi9GyQGRGmaxqBijFJ8npWVyOnoXt3P+xNXzjz54lCmN2bz/Kzq3vcO+jq5FSkLo0QgoEgtT1E5phdpw/Q381YaqG7ELueeyLeB9tw1qHNRZjHSYx1Kox1WpEtRJRrURUKyHVSkSlElGtRFQrEdVKSLUSUalEVMoh5VJIrRoRRwlJYjHGkiQGk1iSxGCt470YYzHGEoUJl0IIgdYSpSVaSogTqqUazjp+RkmMlDz70728+vIRcnmfbC4gl/PJ5nyy+YBcziebC8jmfDIZDz/QKC1RUiKVQEqJlAKlJFJKpBJIKZBSIoRACKaNcw5rHc46rHVYazHGYa3FGIs1DmMtSWyoViIq5ZBKOaRSiaiUQ8qlGqXxGhMTNUrjVUoTNSbGa5RKVcJqTBwb4tgQRwlJYnHOcamkFPiBRxBogoxHfWOOltY62jrqaOuop629nraOeppaCmSyPpmMhx9ohBCkUqnUexFSgOBfOHCOaaWZgQpeN1nVSmRGmSyxJcbCQ7RlbwcEl0p7is2PrGTHiwfZu+sEpfEqT35nB8vWzaV9diOp1I1iuLaH0egAU0mhmZXfTGN+NkJoLodzDmMcxhhMYjHGYhJLkljiOKFaiSiXQirlkHKpRqUcUi6FlMshlXJIuVSjXAopl2qUJkKqlZAksSSxIUkMxliS2JAYi7OOqZxzxLEhCWOixIB1vMspiVWSU6eGOHVqiMmUkiglUVqilEQpidISJSVSSTxfEQQeQUYTBB5+oAkyHkHgEQQaP9B4nkZ7Cq0V2pN4WqG0REqJUhIhBUpJhOBnnOM9GWOx1mGMwVmHMZY4NsSxIYkMcZwQx4Y4MoRhTFiLqdViwlpMWIup1WLCWkwSGxJjMYnFGEuSGExiMcbyQQgBWiv8QOP7mkzWp74xR3NLkebWIi2tRVra6mhuLdLcUiRfDAgCjyDj4XmKVCqVulxCCATvcljrmE6aGciX9dT5CxmLDjOZdQlj0SESW0XLHJejrbOBhz+9geOH+ihP1Dj09hm2Pvk2j39pI1orUqmZLrEVzpVfIDLjTJXVHXTkNiGE5nIJIdBaoLWEgEtmrcMYS5IYTGJJEkMSW+I4oVaNKU1UKZdCyuWQ0niNUqlKabxGaaJGuRQ7gl1QAAAgAElEQVRSLtUol0LGRisM9Y1iYwPOcYEQAqEVRgoQgvdijMUYCxFXTAiBECClQAgBQiAECARCAIJ/4XhPzoHD4RzgHM45rHU453COaSGkwNMKz1d4nsbzFdlcQH1DlvqGHA1NBRoac9Q35GlqKdDcUqC+MU825xMEGj/w0FohBKlUKnXVSCEAwQXOgXOO6aSZgbTMUh8s5mz5aaxLmGwsPExkx9Ayx+WQUrDhnsW8+vwBXnl6H2Et5unv72L1HQtYuGw2qdRMNxEfZ6C6A3BMJhC0Zm+j6M/lWpJSIKXC8xSXwjmwxpIkhiSxJImhPFHjqR+8wQ++sZ2qc1yQzQXcef8SehbPolqNqJRDKuWIaiWkWomoVCKqlZBqJSZJDCYxGGMxxmISi7EOayzWOpxzXArnHM6BtY7rQoCSEqUlSkm0ViglUVrieYp8PqBQl6VQzFCoy1AsZinUZairy1HfmKO+IUddQ458PsDzFZ6n8HyN5ymEEKRSqdS1IoQAwc8555hOmhlJUO8vQssCkRllspoZoByfJqdncbnqGvI88pkNHNx9iqH+cc4eH+Qn336d3/5fHyFXyJBKzVTWJfSVX6Jm+pnKU/V05u9FiSwzkXMOZx1SSZSWKC0JgHKpxsvP7uPJf9xJtRxyQaEuy2O/ejuf+MJd1DXkcM5hEktiLCaxGGMxxmISQxwbatWYaiWkUomoViKqlYgwjAlrMVGYEIYxYS0hCmNqtZgoTAjDmChMCMOEJE5IYkucGJLYYI3FOXDO4QDnHDhwzuH4twQghAABQgiEACEEFygt8TyF52k8T+H5Cs/TBBlNEHgEGY8g45HJeAQZj2zWJ5cPyOZ9cvmAXC4gXwjI5nx8X6O1QnsSrRXaUyglSaVSqRlHgmASx7TSzFBFv4eMaiEyo0wW2wlGw4O0ZDcgEFwOIWDZurlsfmQlP/zGdkxieOWZfay96xY2PrgMIQWp1ExUTc7TV9mGdQlTNQbLaAyWM1P1nR3h8L5z3LZ5MZmsxwVjI2W+/7fb+dHfv0ZpvMoFjc0FPvWlTTzyqfXkixkuEEKgPYX2FB+Ecw5jHNZarLFY6zDGYq3DWoezFmvBOYe1DmssxliMsVjrsNZircMai7EOcEwmpUQpiZQCKSVSCZSSSClRSiKlQEqBkAIpBVIIpJJIKVBKIpVESYGUEgSpVCp143NcU5oZypcN1PsLGY+OMJl1CSPhAYytoGWey5XJ+jz8qfW8veMYR/afY3ykzI+/tZ1bls+mfXYjqdTM4xio7mAiPs5USmTozN+Lr+qZiYyxvPzMfn74rVcpl2pseWw1E6MV/v6vXuLpH7xBtRJxQWtHPb/+e/dy36+sIpP1uVqEEGgtAEkqlUqlpp9z4PhXQjCtNDOUklkagiWcLT+LdTGTjUeHCM0IWub5IObMb+WRz97GX/3fT1AphRzYfYpnvreLz/zOvfiBJpWaSSIzRm/5eRJbZaqi30Nr9nYEkploqH+cV57dT3/vKN/6yxcIazGH9p1l29N7icIEIQSzu5v5jT+4n41bluL5mlQqlUrdwJwDx78SgumkmaEEgoZgCZ4sEJoRJqsmg4xHR8l7c/gglJJsfHA5u189ystP7SUKE57+/hss3zCPlbctQAhSqRljJNzPcLiXqYRQtOc2kdMdzETOOXa/dpTjh/u4oL93lK/9ydNEUYJJLEII5i/u4EtfeYB1d92C0pJUKpVK3dgckwgQQjCdNDNYweshp2cRmhEmS2yJ0fAAHflNCBQfRF1jno99/k6O7D9H76kh+ntH+cHXX6FrfhtNrUVSqZnAuBq9lReIzChTZVQrs3KbkcJjJhofrbD16X1UKxHvqlYiLpBScOvKLn7rjx9i2ZpupJSkUqlU6sbnnAMcFwhAML00M5iv6qgPbmUk3M9kDstIdIDYlvFlHR+EELB4ZRcPfXIdf/fV5wlrMW++coTnfvgmH//CRjxfkUpdb6X4FP2V13BYfpGgNbuOOn8BM5KD/btPcXDPGd5LNh/w6GdvY9nqbqSUpFKpVOom4cAxiWRaaWYwJTI0Bks4LQKMC5lsIjpKLenH9+v4oDxfs+Xja9m36wS7th2mVo144h9e59ZVXSxbNw8hSKWuG+cMfeVtVJJepvJkkVn5+9Ayx0xUKYdsfXofpfEq76VaDnn+J3u4ZfkcunpaQJBKpVKpm4BzDhz/g0AgmE6aGa4huBVf1VNN+pksNCOMhgep8xdyJVra6/jElzZx6mg//edG6T09zHe/9jKdPS00tRZJpa6Xmhmkr/IS1sVM1RAspjmzChDMREff6WXP68dwzvFerHW88eoR/vbPn+V3/+MjNLfVkUqlUqkbn3OOnxMgBNNKM8PldCcFr4dq0s9kia0yEu5jTuEhpPD5oIQQLF8/j4c+uZ5v/9cXicKYN14+zFPf3cknf/Nu/ECTSl17jsHaLsaiI0ylRMCs/D0EqomZKAoTXn5mH8ODJd6LEIJszqd9diNNLUVq1ZhUKpVK3RyUVjQ0F3DOUajL4vma6aSZ4TxZR2OwjMHqLhyWf+UYCfcT2TEyqpUr4Qeahz65jnf2nGbn1kOE1Ygnvv06C5fOZt2mWxBCkEpdS7Etca78AomtMFXem0N79k4EkpnozIkBdm47jLWWdwkhyOZ82jobWLq6m5Xr57F4+Rya24r4gUcqlUqlbg6zupr4X/7PT5PEBikFHXOamE6aGU4KTWNmGVrmiG2JycrxGUrRKTLZVq5US0c9n/ry3Zw5PkDv6WEGesf4zl+/RGdPM53dzaRS19JY+A5Dtd2AYzKBpD13J3lvDjNRkhhefeEgfedGQEAm49M+u5Flq7tZuWEei5bPobm1SJDxSKVSqdTNJ8h4zFvUwbWiuQHU+7eQUS3EtsRksZ1gJNxHc3YtAsGVEEKwdM1cPvprd/CNP32WaiVk364T/PDrr/CFP36QfCFDKnUtWBdxrvwiYTLEVIFupiN3D1L4zESDfeO8+doxZs1pYsnKLlZsmMfSVd20tNcRZDxSqVQqlbqaNDeAjGqhPljERHyCyayLGQ73ktgKnsxzpTxfseVjaziy7ywvPfk2SWx47se7mbu4gwcfX4fSklRqupXjM/RXX8Fh+UWC5sxqGoLFzFTGWD72uduZt6iDlvY6MlmfVCqVSqWmi+YGoGSOxmA558rPY13MZGPhO9SSfjx/HldDQ3OBT395M2dODHJk/1kmRit8779vo2teK0vX9iCEIJWaLg7L+ep2yvEZptIyR2fuXjxZYKbq7G5idk8zqVQqlUpdC5obgEDQmFmGL+uomSEmq5lBRqODFP15XC3zFnfwmX+3ma/+px8zMjjB6eMDfOurz/OV/+PjdHQ1kUpNl9AM01t+EeMipqr3F9KSXQcIZiohBKlUKpVKXSuaG0TB6yHvdVMzQ0yW2CrDtT3Mzm9BCp+rQSrJbffeyskj5/nHv95KWIvZ89pRvve1bXzhjx6kUJcllbr6HEO13YyG7zCVFB4duc1kVAupVCqVSqX+heYG4cs6mjIrGK69hcPyrxwj4V5CM0pWt3G1ZLI+H/3cHZw5Psi2p/YSx4bnfrSbWd3N/Mqv3o4faFKpqymxFXrLLxDbCabK6Vl05DchhCKVSqVSqWvGOTh+HIIA2trg0CEoFuHYMZiYgJYWWL0aslmuB80NQgqPpswKtMwR2xKTleOzTMTHyeo2rqamliKf/Z176DszzOG9ZyiNV/nuf99G66wG7rx/CVJJUqmrZTw6ymB1F+CYTCBpy95OwesmlUqlUqlrylrYsQPyediwAZ54AqIIGhpg6VJ44QWIY7j7bhCCa01zA2nwF5PRbcRRickiO8Fw7W1asxsQSK4aAfMWz+LXfv9+vvqffsT5syMM9o3yra8+R3NbHYtXzkEIQSp1payL6a28RNUMMJWvGpiVvxclMnxgzsHhw5DNQkcHHDgAxSIcOwbj49DcDOvWQT7PZXMO+vrgzTchimDOHFi5EnyfVCqVSt0EymV49VU4fBh27gTfh//wH2DVKhgdhSNHYNMmEIJrTXMDCVQzjcESJqJjTOZcwnDtLWIzga/quZqkFKzbdAuf+q27+fqfPM3EWJXjB3v52z99hn//vz/G7LktpFJXqpL0cb6yDecMUzVlVtAYLOWKWAs7dkBdHaxbB088AbUadHTAqlWwdSuEIWzZAlJyWSoV+MEPoK4O5syBp58GrWH1alKpVCp1E/A8WL4cVq6Es2dhYADGxiBJYGQEggCE4HrQ3EC0zNKUWcnZ0jMYFzLZWHSEcnIWX9VztXm+5v6PreH8uRF+9M1XiWoxb716lG/++XN8+T9+hOa2OlKpD8phGai+xkR0kqm0zDIrdw+equeKVSrw6quwfz/s3AlBAB/7GKxeDUNDcPw4OMdlGxuD/n549FFoa4OjR+H0aVi9mlQqlUrd4ISAfB66umDJEli4EBYsgJdegqNHobcXPvMZrhfNDUXQFKwgUI1Ukj4mC80ww7U9NAZLAMHVli9m+MQXNzF0fpytP32bJDG8/PReGlsKfO7376NQlyWV+iAiM8a58gsYV2OqojeP1uxtCARXzPfhrrtgzRoYH4ezZ6G/H8IQzp+HXA6E4FI55xgbGyMZG6M5SRCDg1BXB0ND0N3NxZjEkiQGKSVKS6QUpFKpVGoGEgI2bwatIZuFj38cMhk4dw5GRmDLFtycOZw+fZpCoUBTUxPXkuYGk/NmU+ffQiXpYzLrIoZqu+kpPoaWeaZDc3sdn/+ftjA+UmH3q0cIazFPfmcH+WKGx7+4kWw+IJW6XCPhXkbCfUwlhaYjdzdZ3c4VEwLq66GlBbq6YP58uPVWePll2LsXwhB+7deohiGnT59mzpw55HI53otzjmq1yr59+3j77bdZt2oVzevXw3e/C8Ui+D6sWsXFHHjrFM//+C2UkmRyPpmMR5D1CDIeQdYnm/PJ5gOCQBNkfXL5AD/QSCWRUqK0RCmJ0hIpJUpJlJIgSKVSqQ+tKEw4sPskDc0FZnU14weaKyYEtLTwc7Nm8TONjeAcCIEABgcH2bp1Kx/5yEdobm7mWtHcYDxZoDmzmv7qdqxLmGw0PEA1OU/Rn890mT23hd/4wweYGKtwZP85yhM1vv/1l8kXs3zk0+vxMx6p1KVKXJVz5ReIzRhTZVQbHfm7kUJzxaSEBx8EKSEI4DOfAd+H4WEYG4O2NmhqwlWrHDx4kB07drBu3Trmz5+P7/u8KwxDjh49yq5du9Bas3DhQobHxylv2kRh5UoIQ5g1C+rquJhTR87zzPd3EYUJFwgBUkqkkiglUUqitERKgVQSrRV+oAmyPn6gyeYDsrmATM7DDzyyOZ98IUMm5xNkPIKsT5DRBBmfIOMRZD2CjEeQ8dCeQimJlBKlBFJJpJRIJZBSIqVAKomUglQqlbqRxFHCT769g+Pv9LJu4y3cuWUpC5Z0kitkEIKrTwjetXz5ckZHR3nyySd55JFHaGpq4lrQ3GAEkubMKjxZT2iGmKxmBhgJ91P05zNdhBAsXtnFF//4If7y//onzhzvZ3ykwrf/6wtkch73Pboaz9ekUpeiFJ1goPo6DscvErRmN1D05nHV5PP8XF0dP9PZCZ2dvCuXy/GRj3yEI0eOsHPnTg4cOMD69etpa2vj/Pnz7Ny5k1KpxJw5cyiVSpw4cYIVK1aQqauDpiYuVbUSYRLLu5wDYyzGWGI+GCEEUgmUlEglkUqglERKiVQSpQRSSTxfE2Q8goxHkPEIMh5+4OFnNEHg4QcefkbjBx5+oAkyHn6g8QOPIKPxAw8/8PB8hR94eL7C8zVaK6QUCCmQUiKlQEqBkBKpBFIKpBQIIZBSIKRACIEQglQqlbpa4ijh9LEBzp4Y4qUn32b5unlsemgZy9bNpaE5j5SS6eD7Phs3buTll1/miSee4JFHHqGpqYmLcg5OnoQ9e8AYWLgQliwBrblUmhtQ0Z9L0Z9LWB1issTWGKy9wezCAyiRYbpIKVhz50K++McP8v/9559w/uwIQ/3j/O2fPovSis2PrMTzFKnUxTiX0FfZRjXpYypf1dGZvxctc1xrvu+zdOlSenp62Lt3L8888wzOOWq1GgsWLCCfz3Pq1Cl6enrYvHkz9fX1CCG4HHMXdfCRT2+gWgmpVSJq1YhaNaZWjahVIuLYYIzFJhZjLMZYrLEYYzHGYo1lKuccJnEYLFeFACklUgqUkkgpkEoipUBKiZQCoSRSCqQUKK3wfYXnazxf4/kaz9f4vsYLFJ6v8XyN5ym0p9CeQnsKrRXa+//ZgxMgLc/DwPP/572/++j7gm6amxYIGZAQIIEOS3bkyLIt27HjxFnbSjabSnZrq3aTym4qSe1WnJpUnHFmNplJjZ1J7FiexIqMnRkb2RayhIQQQjISSEA30N00fR/f1/1d7/E8KyrDpN0BCWTO1vP7mdi2hWUbWJaFZZtYtollm1i2gW2bmKaJaRmYpoFhGpiWgWEYWJaBYRqYpoFpGghTIIRACIEQIIRACMF8Qgj+BwGGEMwnBCAEmqbdXMpzVcIg4hwpJVPjszz7/cO8vO84y1a3sPXetWzavpLm9hy2Y3Glua7Ltm3beO655/je977Hgw8+SD6f56Kmp2H3bmhvh2QSvvtdSCRg2TIulcVNyDYy1HkbmKy8gkLyLxRT1deohuMk7A6uJtMyuH3XGiqlGv/5z/YwOVZkfHiGv/3yU1iWybb712HZJpp2MZVonJHyj5EqZKGsu4a8t57rKZFIsGXLFpYvX84LL7xAsVhkYmKCTCbDAw88QFNTE4Zh8G5s3NrNLZu6kJEkiiRRJIkiiYwkUSjxawHVSkC17FOt+FTLPtWKT7XiUyn7VCs+tYpPtRxQqdSolgOqFZ9axadaCfCrAb4fIiNJFEmkVMhIEkUSKRUykkSRREYSKRUXpEBGEhlBGERcLUKAEAJhGBgGCGFgGAIhBMIQGAYIIRBCIAyBEAIhQAiBEAIhQAgBQiAEGIbANE0MU2BaBqZpYBgG5xmGwDANzhNCYFoGAsF5hikwTANN024uUSjpPzHKfEpBabbKay+d4tjhQfZ86yCbdqzk9l1rWLa6hXjcBcEV47ou27Zt45lnnuGrX/0qnZ2dmKbJQslkktsSCfLlMtx1F8Ri8MYbMDICy5ZxqSxuQoawqPNuxTZT+FGB+crhMNO1oyTsDq422za56wPr8WshX//3P2R6YpbRoWn++s++j5KKbe9fh+1YaNq/phivvETRP8lCpnBpie/EMbNcb0II6urq+MAHPkBfXx+WZdHR0YFt2/wsDMPAcQ3eLaUUUiqiUCIjSRRJokgiI0kUSWSkiKKIwI+oVXxqtZBaxadaCfBrAdWKj18LqZZ9qhWfWjXAr4X4tQC/GlCrhfi1EL8a4NcCarUQvxoQhhEyUkgpkVIhpURJhZQKGSmklCipkFIhpUQqBYq3pRQopUBGRJwToWmadjX4tZDTJ0YZODnO3v96mC13r+JDn9rK0uVNCMEV43keGzdu5OjRozQ2NpJOp1nIdV3cIIBqFQoFUArm5sDzuBwWN6mMs5Kk1cFUVGC+UJaZqLxMS2InpnC52lzP5r6HbyMKI77xFz9iZqrEyOAUf/2l7xNGEXd9YD2OY6Fp8/lyluHSXkJZZqGkvYSm+B0IDG4UpmmycuVKbhRCCExTYJoGPyulFDJSSCmRUiEjiZQKGUkiqZCRREqFjCRhGOFXQ/xagO+HBH5I4IcEfoRfCwn8kMAPCfwQ3w8J/IjADwlqIb4fEvghYRARBhFhGBEGEUEQEQYRYRgRBhFhEBEGEWEQEYUSqSRKKqQClEIphVKglEJJhVKglEIphVKglAKlUAqUUijFWxRKAUpxngKUUvwPCpRSaJp281KAUgoUFyWEIJmO0bmiiZXr2snmEwjBFWfbNg0NDaxbt458Ps8FlcvQ1QX/5b+A50F9PXR1cTksblKumacutpHp2lEUkn+hmKwdphpNkLDauBbcmM37P7IJKRXf/I97mZmcY/TsNH/zZ3sI/YidD23Aizlo2nkztTeYqh5mIYFJU3wbcasV7doQQmBaAhODq0FKhZIKKSVSKpRUSKVQUqGUQkqFkgqlFFIqlFJIqVBSIaUkDCLCICIMJTKSRJEkiiQykoRhhIwUUSSJIomMJFEoiSJJFElkJJGRQqGIQolSivOklMhIcZ5SiiiUKKXQNO3m5NdCntvzOgN9YyxkWgb1TRk23N7NtvvXseqWdtLZOMIQXE1CCC4qHoePfISorw8Zhtjd3ZDNcjksblKGsKnzbuO08SSBnGW+cjDETO1NElYb14oXd3jw0c2YlsHjf/k0U+OzjI8U+Jt/u4fSXJUHH91MIumhaZGqMVzaSy2aZiHPqqclcReGsNEWB8MQYAhMDDRN066m0myVU8dHGOgb4zzXs+lY1sCWu1ez5e5VLF3ehBd3uGGkUvSnUhSLRW5JpzGF4HJY3MSy7ioSdjsztTeYL5QlJioHaY7vwBQO14oXc3j/RzZhmgZ/9xc/YnK0yPTkHN/8D09Tmq3y8GfuJJNLoL23lYJBxsr7UUh+mqDe20jaWYGmaZqmXS7FPxNCkEx7LF/Xxp33ruW2bStobMli2SY3oplCgfHxcXqU4nJZ3MQ8s44671YKtTdRKM5TKCarr1ANx0nYbVxLrmdz34dvw405fP3f/5CRwUlmCxWe/Jt9FKbm+PgXdtLYmkMItPcgRcRo+XlK4VkWso0kLYld2EYCTdM0TbtcQoDj2pimoKktx+r1HWRyCQpTJYQQeDEHx7VwPRvLNrmaDMPAcRyEELwTwzCwLIt3w+ImZgiH+tj7GJj9LoGcZb5SMMR07QgJu41rzXFt7v7AeuIJl7/5t3vo7x2jUqrx1D8eYmayxKf/l3vpXNmMYQi095ZqOMlw6Rmk8lko46yg3tsICDRN0zTtcnkxhzvvXcOh547Rd3SI/uMjOJ6N41p4cZdsPkG+MU19U4bGlgx1TWnqGjO0La0jW59ECMGVEPohhjTYsnkLpjIJ/RDLsVhIRhK/4tPR1kFdto7Ij7BMCwSXzOIml3PXkrDbmam9wXyBLDFReYmWxN2YwuVas2yTLTtXE0+6fO3Pf8DRVwcI/JD9T7/B1Pgsv/Bru9h453Jsx0J7r1BMVl+h4B9nIUM4tCTuxrXyaJqmadq7YZoGqzcsoaEly2yhQhBEBEFEaZa3zDE8MMl5pmXieTadq5r51K/fw611yxGCK6IwVuDYvmMs3bCUoz86yqptq8g2Z1nIr/gcefoI2ZYsc1NzhNMhnRs6EUJwqSxucp5ZR713G4XaMRSSf6GYqL5KJRwjaXdwPZimwfoty/if/6+f52v/7gccfPY4gR9y7PAg/9//u5uPfHYH93zoVpLpGNriF8gSZ0t7CWSJhRJWK03xOxGYaJqmadrliiJJZa7GbKFMOhvnnSmWrWnhU79+Lz2bOjEMwZWSacrgpTye/+bzrNm+hlR9igtx4y4NnQ28/N2XybflWb5lOcIQXA6Lm5whHBpimxmY/Q6+LDJfOTzLdPU1knYH14sQgq5VLfzq7zxEXeOPefq7r1KarTJ6Zpq//fJTDJ4c48Of2UbrkjqEIdAWr6J/gsnqIUAxn8CgMb6VhN2Bpmmapl0KKRWVUo3CdInBvjGOvz5E79EhBk+OMzVW5O14MYc771/HJx7bSceyBoQQXEmmaZLIJqjOVoln4ximwYUIQxDPxIn8CMuxcDyHy2WxCGTd1STtpUzVXmO+UFYYqxygNbkLU8S4XoSAprYcv/xb76ets54n/vo5JkZmmCtW+N7fv0T/iVE+/oWdrN+yDMe10BYfqXyGS89QDSdZyDFztCTuxhQumqZpmnYhUiqq5RrFmQpDpyfoPTJE79Eh+ntHmZ6Yo1yqISPJO8nkE3zg41v4+U9vJVef4mooThQZPjbM+vvXM3hkkMauRpL5JAv5FZ/+n/TTeWsn5WKZ0b5R2ta2IYTgUlksAq6Zpz52G9O1Iygk/0IxWX2VUjBM2lnG9ZbMxPjgJ26nsTXHN//j0/QdPUsYRLx+8DSjQ//Ig49u4f4P30ZdUxohBNriUQrPMlJ+HkXEQnXeBrLuGjRN0zTtvCiSVEo1ZibnGOgb4/TxEU4dH2Ggb4yZiTlKc1WiULKQ49kkUx5+LWSuWOE8IQStS+v4+BfuZscDtxBLuFwtYS2k631dtKxoYejNIYJawIWEQUiuNUfz8mZmJ2cJayFKKoQpuFQWi4AhbBpimzk9+238aIb5KuEok9VDpJ0uQHC9Oa7FHfesobkjxxNffY4XfniE8lyNsbMzfPM/PM0br/TzyGe3s+62pTiujXbzU0jGyvspBQMsZBlxWhM7cYwUmqZp2ntXGESU56pMjBbp7x2l/8Qo/b2jDPaNMTNVolL2kZFkIduxSGViNLfnWba6hWWrW+hc2cze777Kd76xHyUVpmmwZuNSPv3r99CzuQvLMrma6jrqqOuo45yujV1cTDwdZ9n7lnFOPBPn3bBYJDLuKtJONxOVl5kvUlXGyvtpTz6AbaS4ERiGYNmqFh77Pz9I95oWvvP1Fxg5M02tGnDw2eP0945yz89v5P5H3kdzex7DEGg3Lz+aZrj0DJGqsVDa6aY+tgkQaJqmae8NSilqlYDSXJXx4QL9J0bo7x3l9IlRhk5PMDtToVrxUUqxkO1YJFIeja1Zlq1uYdnqFrrXtNLcnieZjuG4FudMjBb4wbdfIYoi7rx3HZ/41Z0s6W5ECMFiYrFIuEaOxtjtTFV/glQh803VjjAb9JN3e7iRpHMJHvqFO1i2upV//M/P8er+XmqVgLGzM3zrK89y+MBJPviJ29l81ypSmThCoN2EJquHmam9wUKGsGmO7yBmNqBpmqYtXmEQUS7VKE6XGDo9wUDvGP19Ywz2jTExWqA0W8WvBSjFTxECHAj5lDwAACAASURBVNcmkY7R1Jqlc0UTnSubWba6hZaOOpKZGK5rg+BfWbaqhc6VTazfvIwPfXor+YYUi5HFIiGESUNsMyeLf081HGe+WjTJRPklcu4aBCY3EtuxWL+li/auen745CG+/62DjJyZIvBDjh7qZ6B3jP0/PMoDH9vMutuWEku4aDePUJYZLu3Fl0UWillNNMd3IISFpmmatjhEkaRa8pmbrTA6NM2ZU+MMnhxnsG+Ms4NTzM6UqZRrRKFkIWEIvJhDKhOjpaOOzlXNdK1spnNFEw0tWRIpD8e1EYJ3VN+c4dd+50O0d9UTS7gsVhaLSMpZRs5dy3D4DPNJFTBWeZGl6YdxzTw3GiEEdY1pHvnsdno2dfHdx/fz0jPHmCtWmCtW2PfUEY6+0s+Wu1ez60O3sqKnnVjcQbvxzQYnGa8cBBTzCQSNsS2knKVomqZpN6colFTKNcpzNcZHCpztn+DMqXEGT44z1D9BYapEpVTD90NQ/CumZRCLu6Rzcdq7Guha2UznymaWLm8i35AinvKwbZN3w/VsVvS0sdhZLCK2kaQxdjtj5f1EqsZ8Bf84M7U3aYrfyY3KdizW3raUju4Gbtu2gu/9/UucODKEXw2YGp9lzxMHOfjscTbdtZKdH9zA8nVtxJMeQqDdgKQKGS49SzUaYyHbzNCS2IUpYmiapmk3vsAPqVYCSrMVxs7OMNQ/wdnTkwz1T3B2YJLiVIlyuYZfDVFKsZAQ4Lg28aRHQ3OGju5GlnY3smR5I22d9WTzSWJJF9M00C6dxSIiMKiPbSJmNTIXDDKfHxUYLe+jIbYJQzjcyFKZOPd8aCO3bOriuT2v86PdrzDQN0YYREyMFtjzrYMc2PsmPZu62P7+Hnre10mmLoFhGGg3jko4wkj5WaQKWSjnriPnrkPTNE27sUShpFb1qZZ9ijNlRoemGeqfZPTMFMNnphgZnKY4U6JS8gn8AKW4INuxiCdcUtk4rUvr6OhqoH1ZA0u6G2lqzZFIebgxGyEE2rtnscgkrHbqvI3MBWcAxXkKyXjlJcrhCEl7CTc6wxA0teX48Ge2sWn7Sp75b4fZt+d1zg5MEgYRU+OzPPu9wxzad4Lla1vZdNcqNm5dTuuSOry4g3Z9KRTjlZeYC06zkCk8WhO7cMwsmqZp2vURBhG1akC14lOcKTN2doaxoWlGz04zNjTD6NA00xOzVMo+1bJPGEZcjO1YxOIOyUyM5vY87V0NdCxroKOrgab2HMlUDC/hYFkm2pVlschYRoym+DbOln5EIOeYby44w0TlEEm7AxDcDEzLYOmKJn5h6T3seOAWnvv+azz/g6OcHZjAr4XMFSu8ur+PI4f6+afHX2TdbUu59Y7lrN7QQX1TGjfmoF17QVTgbGkvoaywUMrppDG2BYFA0zRNu3qiSOLXQvxqQKVUY2pilomRAuMjBSZGCowPFxg7O83M5ByVsk+tGhD4IRcjhMBxLby4Qzobp7k9T1tnPW1L62ntrKO5LU8yEyMWd7EdE+3qs1iE8t56Uk4XU9XXmC9SFUYr+2hL3ottpLiZ2I5J16pm2pc1sPOhWzn47DGe/8ERTr45QqVUJfBDhgcmGRmcZN+e12loybJ6wxJWb+hg+bo2mtpyJFIepmmgXX3TtaNM115jISFMmuPbiVnNaJqmaT8bGUkCP8L3Q/xaQLXsU5guMT0+y+RYkfGRApOjRSZGC0yNzVIuValVA2rVgCiUvB3LMnFjNrGES64uSXN7ntaldbQsqaNlSZ7GliyJVIxY3MGyTbTrw2IR8sx6GmN3MF07ilIR801VX6Pon6TO28DNyLZNOpY10La0jh0P3sLrB09z8NnjvP7yKSZHi4RBRKXsM9A3xkDfGHv/60/I5OIs6W6ie00LS7obWbq8ibqmDLGEg+PaGIZAu3IiVWW4tBc/KrBQzGygOb4DQ9homqZpFyalIgwiwjAiDCLCICLwQ0qzVQpTJQpTJaYnZ5memKMwNcfMZImpiVlmZ8r4tQC/FuJXA4IwAsXbsmwT17Px4g6pTJzGlixNbTmaO/K0tOdp7siRziWIxR3cmINpGmg3DotFyBAWTfGt9M8+SSUcZ75qNMFoeR85dx2GsLhZGaZBfVOGnR/cwO27VnPm1ASvvtDLT148yaljwxSny4RhhF8NGB8uMD5c4NC+E7gxm2Q6RmNrlpaOOprbczS356lvzpCrT5JIediOhWWZmJaBZZkYhkAYAiEE2jub8/sZq7yIQvLTBPWxTaSdbjRN0xYVBUopFKCUAqWQUiGlQkYSKRVSSmSkkFIShZIgiKiWa5RLPpVSjUqpRmmuSqlYYbZQYa5YYbZQYa5YYbZQoVSsUKsFBH5I4EcEtZAwjLgUhmHgeBauZ+PFHHL1KeqbMzQ0Z2hszdLYmqWpNUcmn8CNOXgxG9u2QKDd4CwWqbTTTc7toRI+zXxKRYyWn6cz/WHiVis3PQGxuMuKdW10r2nhgY9uYvDUBK8fPMUbrw7Qf2KEmakStYqPUopq2ada9pkYKXD0UD+GIXBcG9ezcVyLZCZGJpcgkYoRT7rEEy6OZ2NZBqZlYloGQgi0CzMMRWLtPvzmYRYKKw5HXkjTVz4ACDRN0252UkpkpJBSEUURSkIURkipCPwQvxbi1wL8WohfCwn8gFo1oFL2qZZ9wjAiCiVRKImiiCiUhEFEFEkuhxBgWSaOa+O4Fl7cIZNPkm9IkW9IUdeUpqE5S31zhrrGFImUh+vZOJ6NZZloNy+LRco2UjTHdzBa3k+kKsw3G5xionKIJakWQLBYGIZBOpdgXS7BmluXUJ6rMjFSoPeNs/QeGeL08VGGByeZK1apVnxkJJFSUa34VCs+54yPFHg7whAItItJ1Fe55/94lcamgIXGTiTZ+5cjVKafQtM0bTFQCpRSXE1CCCzbxLJNbNvEdiy8uEMmnyCTS5CtS5LNJ8jWp8g3pMg3pMjWJYnFHRzXxnEtLNtECIG2+FgsWoKG2CaS9hIK/jHmC2WZ4fKPaUncjW2kWIwMQ5BMx0imY3SubObuD6ynPFdjemKWwZPjDPVPMHJmipHBacZHClTKNYJaiF8LCIMIKRUXoqRCoV2QgKZ1k+SWzLJQ5Bv072+kPG2jpELTNO29RggQhoFhCEzLwDRNTMvAsgxM08SyTby4QzLlkczESGXiJNMxkpkYqUyMVCZOOhsnk0+QzMRwXRvbsbAdE8u2MAyB9t5jsYjFrGaa4lsp+r0oIuabqv6Eot9LnbeR9wLbscjkLTL5BJ0rm1FK4ddCqhWfSqlGYarE9MQs0xNzFGfKlOeqlOZqVEo1/FpAFErCMEKGEoV2IcKu0HrvUex4yL9SbaDO2cLGrWk0TdMWCyEEpmUghMA0DQxDYJgGpmlg2SaOa+G4No5r4bgWtmvjuhZe3CGe8IglHGIJl3jCxYs7WLaJZZlYtollm9i2iWmaINC0C7JYxAxh05zYwcDcP1ENx5mvGk0yUn6WnNuDIWzea4QQuJ6N69lkcgma2/PMJ6UiCiPCUKKkREqFUqCUQruwyepBXi89QcBPE5isaL2P9//vv4LARtM0bTExhAABQggQIBAIAYYhEKaBYQgMw8AwBJp2pVkschlnBXXueobCHzKfUhEjpX0sTT1M0l7KhYSyTNE/QdpZgWXEeS8xDIHhWNgO2iWIlM/p8AAhMyzkWnna07vIxDJomqZpmnblWCxytpGkOXEXo5UXCGWZ+eaCfsbK+0lkOhAYnKeIKPonOV18glJwltsa/28s4mjaxZSCM4xWXkAh+WmCeu9WMu5KNE3TNE27siwWPUFDbBMpexnTtdeZL1I1zpb20pa8D9esAxS1aIazpR9xqvgPFPwTNMe3YQoHTbsYhWSs8jzl4AwL2UaclsQubCOJpmmapmlXlsV7QMxspCVxFwX/GFIFzDdTO8pk9Sc0xbcxXT1CX/FxxsovEMg5znHNegzhomkXUwunGC49Q6R8Fko7K6j3bgMEmqZpmqZdWRbvAUJYNMe30z+7m1Jwhvl8OcvA7HeZrh3hzNz3KQfDKCT/TOCZdRjCRtMuTDFZfZWZ2jEWMoRNS+IuPLMeTdM0TdOuPIv3iJTTRWPsdk4HZ1FI/oVipPwcI+XnkCpgPkPYeGY9AgNNu5BQljlb3ksg51gobrXQFN+GECaapmmapl15Fu8RpvBoTezibOlH1KJp5pMq4EJM4eBZdWjaxRT8XiYqLwOK+QQGjfE7SNpL0DRN0zTt6rB4D8m568i56xgpP8elMISLa9ajaRciVcBI+cdUo3EWcswsLfGdmMJD0zRN07Srw+I9IlI1Cv5xAjnHpbIMD9fMo2kXUg6HGSntQ6mIhfLeLeTctWiapmmadvVYLHIKSTkYpn92NwOz36USDnOpHCOHZcTQtIUUkvHKi8wF/SxkGTFa4ztxzDSapmmapl09FotYIOcYLb/AyeI3maq+hlQ+l8Oz6jGFi6Yt5EcFzpaeIVJVFkrZy6iPbQYEmqZpmqZdPRaLkFIhRb+Pk8V/4Gzph9SiGUBxuTyzDkM4aNpCU7XXmK4dYSFDWDQnthOzmtA0TdM07eqyWGQiVePM3Pfpnfk6xaAPpSLeHYFn1mEIB02bL5QVhkt7CaICC8XMJprjOzCEhaZpmqZpV5fFoqNwjAx57xYUknJ4llBWAMXlMISNa9UjEGjafLPBKcYrL6FQ/DRBQ2wTKXsZmqZpmqZdfRaLjCk8WhJ30xi/nUo4zlT1NcYr+5msHqYSjhKpKpfCFC6eWYemzadUyGj5OSrhCAs5ZpqWxC4sI4amaZqmaVefxSJlCo+k3UHSbqc1sYtyOMxU9SeMV15iqvY61XCMSNW4GFM4eGY9mjZfTc4wXjmIVBEL5dy15L1b0DRN0zTt2rBY9ASWESPtLCPtdNGefIByeJbJ6quMVw4yVX2NajSBVD7zmUYM18yhafPZRoKu9MdwzTyT1VeohpMoIkzh0RLfiWNm0TRN0zTt2rB4TxFYRpy0s5y000178gOUgkEmq68wXnmZmdoRqtEkUgW4Zg7TiKFp85kiRnvyfprid1LwjzNceobR8vOYwqMxfjsCA03TNE3Trg2L9yyBbSTIuqvJuKtYknqIuaCficohJiov41r1mMLjRqOQCAQgeC9QSAQCENw4BLaRpN67jbzbQ2fqw/hyhrjViqZpmqZp146FhkBgGylybg9Zdy1LUw8TqSqWEeNGU6gdR6qAnLsWIUwWu0LtOFL55Ny1CGFxozGEQ8rpQtM0TdO0a89C+ykCA8fMABluREW/l77CN1ie+TStyXswhcdiVvRP0Fd4nO7Mp2hL3oMpYmiapmmapp1jod1kFLPBKV6b/BLlcISu9EdwzCyLlUIxG5zi9ckvUQ6HWZb+GI6ZRdM0TdM0zUK7ZFJKTpw4wcmTJ7Esi1tvvZWJiQlaWlqwLIuBgQG6u7txXZerSQHVaIJjM1+hHJ5lZfazJOw2QHAlSSk5ceIEJ0+exLIsbr31ViYmJmhpacGyLAYGBuju7sZ1Xa4mBVSjSY7P/DXlcJhV2c+SsNsBwZUkpeTEiROcPHkSy7K49dZbmZiYoKWlBcuyGBgYoLu7G9d10TRN0zTt+rPQLtnw8DC7d++mp6eHM2fOEEURvb29bN26lWQyyVNPPUVLSwuu63IthLJE/+xuKuEoq3OPkfPWITC4UoaHh9m9ezc9PT2cOXOGKIro7e1l69atJJNJnnrqKVpaWnBdl2shlCUGZr9DJRxlTe4xcl4PAoMrZXh4mN27d9PT08OZM2eIooje3l62bt1KMpnkqaeeoqWlBdd10TRN0zTt+rPQLtng4CCe57Fr1y5832d6epoDBw6we/duPM9jamoKpRTXklQBo+XnqUYTrM59geb4dgzhcCUMDg7ieR67du3C932mp6c5cOAAu3fvxvM8pqamUEpxLUkVMFZ+gVo0wercF2iK78AUDlfC4OAgnuexa9cufN9nenqaAwcOsHv3bjzPY2pqCqUUmqZpmqbdGCy0S2bbNuVymVqtxujoKCMjI3iex4oVK4jH4xw4cIBisUgQBDQ0NGAYBteCQjJTO8bhiX9DJTvKktRD2EaKn5Vt25TLZWq1GqOjo4yMjOB5HitWrCAej7Nv3z5OnDhBW1sbra2tGIbBtaCQzNSO85OJP2FFdpSlqQ9hGyl+VrZtUy6XqdVqjI6OMjIygud5rFixgng8zr59++jt7aW5uZn29nYMw0DTNE3TtOvHQrtknZ2dmKbJ448/TqFQ4PbbbyebzbJmzRoSiQTHjh1j3759xGIxHnroIRzH4dpRlMMRjk79BaVgiBXZzxCzGgHBu9XZ2Ylpmjz++OMUCgVuv/12stksa9asIZFIcODAAQ4ePMjJkyd5+OGHicfjXDuKSjjCG1N/STk4y4rsLxKzmgDBu9XZ2Ylpmjz++OMUCgVuv/12stksa9asIZFIcODAAV566SUymQwf/vCHSSaTaJqmaZp2/VjctBQguJby+Tyf/OQn6evrI51Os2rVKrq7u8nlcpimyR133MEzzzxDXV0dQRDgOA6XSiHxoxmkCnk7viyCUlxMIGc5VfwHKtEoq3NfIO0sR2DwbuTzeT75yU/S19dHOp1m1apVdHd3k8vlME2Thx9+mIGBAUZGRgjDkMuhkPjRDFKFvJ1AFkEpLiaQs5wq/j3lcIQ1+cdIO8sRGLwb+XyeT37yk/T19ZFOp1m1ahXd3d3kcjlM0+Thhx/mzTffJB6PY5ommqZpmqZdXxY3qWo4wVTtMFlnDZ7ViCEsrjYhBO3t7bS1tXGOEIJ4PM55PT09OI5DpVLBsiwuRxAVOTzxJxT8E7ydQM4ilc/biVSNs3NPUw3HWZ17jIbYZgxhc7mEELS3t2MYBq7rEo/HicfjnLdkyRLGxsbo7u7GcRwuRxAVOTzxJxT8E7ydQM4iVY23Eymf4dJeatEEq3OP0RDbjCFsLpcQgkQiQVdXF0EQcE57ezvnNTc3c/ToUbLZLIZhoGmapmna9WVxk1Io+gqPE8oKLYm7aI7vIGV3YhoxrjYhBBcSj8fZsGEDUkpM0+RySELmgkGKfi9XgiJisnqYVye+yKrsr9CefADLiPNuvPHGG+RyOerq6pgvk8mwY8cOhBA4jsPlkITMBYMU/V6uBEXEZPUwr058kVXZX6E9+QCWEedyDQ8Pc/LkSWZmZti1axfxeJzz6uvreeSRRxBCYNs2mqZpmqZdXxY3KcfMkHK6OFn4Bwr+Mfpnv0NjbAutiXvIuetwzAwguNaEEJimyY1BUQoGOTL155TDEVZkP41tpLlcYRgSRRELCSFwXZcbh6IUDHJk6s8phyOsyH4a20hzOaSUhGFIEARIKZnPMAxc10XTNE3TtBuDxU3KFC45twfT+C6RrFAKznA6GOJs6Wny7i20Ju+hIbaZmNmIEBbvZYGco+j3EsgStpFmsQvkHEW/l0CWsI00mqZpmqYtThY3say7Bs/IU5JDnKNQ1KJphss/Zrx6kJTdRUtiJy2JHSTtpZjC473GMuK0Jx9kVfazxK1mFjvLiNOefIBV2V8hbjWjaZqmadriZXGFRFFEEARIKTlHCIFlWViWhRCCqyFuNZF2uimFQywUyjLTtSMU/OMMzH6HxvjttCbuIeuswTHTgOBGIhBYRhzbSPJ2pAqJVA1QvBPPrGNZ5uN0pR/FNXO8W47jYNs2V5JAYBlxbCPJ25EqJFI1QPFOPLOOZZmP05V+FNfM8W6Yponrunieh2EYaJqmaZp247J4F2q1GtPT0wwNDdHX18fg4CDj4+MUi0VqtRpSShzHIZlMUldXR2trK11dXXR2dlJXV0cikUAIwc/KMpLkvB5GKvtQKuJCpAqYCwYoFc4wNPdD8l4PrYl7aYhtJmY2IoTJparMVpgenqa+o56poSmS+STJfJIrwTJSrM59Hl8WeTsTlYOcKj6BVD4XIxAknU5WZT9HW/IeTBHj3ajMVpgenmbNyjXMjs0yNzVHMp/kSrCMFKtzn8eXRd7OROUlThX/Eal8Lk6QcjpZlf0cbcl7MEWMd6MyW8GsmKxft56x/jE84aFpmqZp2o3L4hIFQcDw8DAvvvgizz77LIcOHeL06dPMzs5SLpcJw5ALMQwDz/NIJpM0Nzezfv167rzzTrZt20Z3dzeJRIJ3S2CQc3uwjRR+NMPbUUhq0RTDpR8zXjlI2llOR/IBlqYexjISXAqlFKcOnWK0d5S5qTluffBWrhRTODTENvNOIlnmtPg2KC5ICJM6bwNrcr9GvbcRISzeLaUUpw6dIp6OMzc1R3NHM1eKKRwaYpt5J6EsIcRuUFyQECZ13npW536NBu82hLB4t5RSjB8fpzRSYm5qDmeNg6ZpmqZpNy6Ld+D7PidOnODJJ5/kO9/5Dm+++SbFYhGlFPMJIbBtG8MwEEIgpSQMQ6IoolwuUy6XGRsb4/Dhw3zrW9+itbWVnTt38uijj7J161bS6TSXRxGpKrYRxzZS+NEMlyqUZaZrR8g4KwHBpYqlYrStbuPZrz3Lpoc3kcwnuZGYwqM1sYtVuc+RcroQGPwsYqkYbavbePZrz7Lp4U0k80luJKbwaE3sYlXuc6ScLgQGP4tYKkbb6jae/dqzbHp4E8l8Ek3TNE3TblwWF6GU4syZM3z961/n61//OsePH8f3fc4xDIN0Ok1jYyPd3d10dXXR1NRELpfD8zyEEPi+T7FYZHx8nMHBQXp7exkaGmJmZoZKpUJfXx+nTp3in/7pn/jQhz7EY489xoYNG7Btm4tRKsSXs5TDs0zXjjJdfZ3p2lEq4QiXR5B11tCd+QSWEedSKakoF8okcgkqxQoykpiGyY3AMTN0pj7C8uyn8Mx6rgQlFeVCmUQuQaVYQUYS0zC5EThmhs7UIyzPfArPauBKUFJRLpRJ5BJUihVkJDENE03TNE3TbkwWFxCGIfv27eOP//iP2bt3L5VKhXMSiQQrV65k586dbN++nZ6eHurr64nH47iuixCChYIgoFwuUywW6e3tZf/+/Tz99NMcOnSIqakpRkZG+MpXvsLzzz/Pb/3Wb/GJT3yCdDrNP1OEqkotnKLo9zJde42p6hFmg5P4UYFI1Xg3XDPHiuwvknKWcTmK40VmRmbY8sgWTh06xdTQFA2dDVxfgoTdxsrsL9OefBDbSHKlFMeLzIzMsOWRLZw6dIqpoSkaOhu4vgQJu5UV2V+mI/kBbCPJlVIcLzIzMsOWR7Zw6tAppoamaOhsQNM0TdO0G5PFArVajSeffJI/+IM/4NixY0gpicVibNq0iU996lPcf//9tLe347oul8K2bTKZDJlMho6ODu666y4+97nP8eKLL/KNb3yDPXv2MDU1xZEjR/id3/kdTp8+zf/6v/0WbrrIeOUgM7WjTNfeoBKOEco5FJKfhSEclqY+RHN8BwKDy+ElPdbuXEu6Pk2qLoXt2VxPAoOsu4Y1+V+lMXYHhrC5GKUUUaSIpERGknM8z0YIwcV4SY+1O9eSrk+TqkthezbXk8Ag665hde4xmuJbMYTNleQlPdbuXEu6Pk2qLoXt2WiapmmaduOymCcMQ5588kl++7d/m/7+fs5ZunQpn//85/nFX/xFOjo6ME2Tn4VpmjQ2NvLQQw+xfft29uzZw5e//GUOHDjA5OQkX/7ylwmCKo/8WiNj/CORqnHlCOq9jXRlHsUy4lwuL+nhJT3OyTRluJ4M4dAc38by9P9EMNvG6bEZKhWfmh9RrQZUKj41P6RaDahUfCrVgGrVp1oN8YOQnjVtPHh/D45jcTFe0sNLepyTacpwPRnCoSl+J2tyj5FxVyEwuNK8pIeX9Dgn05RB0zRN07Qbm8V/p5Ri//79/OEf/iH9/f0IIdi4cSO///u/z3333YfneVxJQghyuRyPPvooPT09/NEf/RHf+ta3mJub46/+6iuY9Xex+RHA4IqJWy2syP4yCauVm5ltJGlL3MuK7C8RVrL81dee5tCr/USRJJISGSmiSBJJhZSSKJJIqTivoy3Pzz24Htu2uBnYRoLWxL2szP4ScasFEGiapmmapln8d+Pj4/zpn/4pb775Juds3LiRL33pS9x5552YpsnVYhgG69at44tf/CK2bfN3f/d3zMzM8K2vPUfXHR3UtwnejsDENpPYRppKOIpUPhdiGTGWZT5GQ+x9gOBm5Zp5Vuc+T3vyQRwjjUoqNt/WyfP7e5mdq/JOEnGXR37+NtatbkUIbnieWcfq7BdoTz2IY6TRNE3TNE07z+ItSim+//3v86Mf/QgpJe3t7fze7/0e27ZtwzAMroX29nZ+93d/l4GBAZ5++mmGThfofS1DfVuGnyYwhYdr5kg73eS8deTdHmwjzSvj/w8F/zgLCQya4ttYkvp5DOFwM6uPbaKBLRjC5hwhBJvf18Vtty7lx/uOo5TiYkzTYMe2Fdy3cw2WZXIzqI9toiG2BUPYaJqmaZqmzWfxlmKxyO7duykUCliWxcc//nHuu+8+DMPgnfi+T6VSwTAM4vE4YRhiWRZCCIIgwHEchBBciu7ubn7jN36Dw4cPMzk5wbFXSmy6N43t2NhGkoTVStZdS97rIeuuIWY1YxtJBAaRqpLz1lHwj7NQyulkReaX8Mw8NztTuCxk2yarVzaz/6U+arWQi1nR3cTHH9lMOh3jZmEKF03TNE3TtAuxeMvQ0BCHDh3inKamJj760Y8Sj8d5J+VymT179jA1NUWtVuOOO+7gzJkzbNiwAc/z2L9/P/fccw/JZJJLIYRg+/btbNq0ie9973u8cbBEeWgZW2/7ObLuWtLOMhwziylcFjKFR97tYVD8NyJV5TzbSNOd+RQ5dw0gWCyUUszN1Xjj+DB7nz3GSwdP4fsRF5PLxvn4RzbRubQeTdM0TdO0xcDiLadOnWJmZoZzli9fzvLly7kUfX19nDhxgk984hNMTk4SBAFHHOYergAAEcpJREFUjx5ldnaWRCLBq6++yvbt27kc+XyezZs3s2fPHk4eKXPsR118+u7PYFsO7yTrrsU1s5TDEc4RwqI9eR/tyfsRwmIxCCPJ5OQcrx4e4Ln9vbx+5AwzhQpKKS7Gtk0euK+HrVu6MQyBpmmapmnaYmDxlunpaXzf55zm5mY8z+NSzM3N4boujY2NpNNpRkdH8X2fM2fOEIvFqFQqRFGE7/vYto0QgndimiYtLS3Ytk2tVmNirEgYRNgW7yhutZByllEORwBBzl1Dd+ZT2Eaam5lSUKn4DJyZ5MWXTrH/pT5OD0xSqfjMZ9smiYTL7GyVKJKcI4Rgwy0dPPzQRmIxB03TNE3TtMXC4i2WZSGE4JwgCFBKcSlaW1uZmJjgxRdf5PTp0+RyOVKpFLt27SKZTPLEE09w+PBhhBDs2LED27a5FEEQoJTiHMuyEEJwKWwzSd69hbHyi7hmlhWZz5ByurhZVasBY+NFXn/jLC+/cprXjw4xOTVHGErmc12LziX13LV9JV1L6/lPf/McfSfHOKe5Kc0vfOx2mhvTaJqmaZqmLSYWb2lqasLzPGZnZzl9+jTFYpFMJsM7aW9v54Mf/CAvv/wy+XyeO+64g6amJlpaWnAch9WrV/PKK6/Q3NxMGIbYts078X2fvr4+giDANC2y2QbCCKRUGIbg7QhMct46XDPP0tRDNMW3IzC4WUipKJVrTE7OcezECK++NsiRN4YYG5+lWg2YTwhBKumxcnkT2+9cwZb3ddHUmOacM0PT/KehKQzD4OGf28j6nnaEEGiapmmapi0mFm9ZtmwZLS0tjI+Pc+rUKQ4ePEh7eztCCN6OaZrccccdbN68GcMwEELQ2NjIedu3b8cwDMIwRErJpThz5gz79u1DKUUy1crx0zG+9O9+QEtTmuamDM1NGRob0yQTLq5j4bgWtmVyXtpZTkfqA3RlPoZlxLiRBWFEuexTKFQYHJqit2+M470jnOqfYHq6RLUWoBQ/xbJMGuqTbFy/hG1bV7B2dSuZdAzDEJx39/ZVvHCgj3wuwQP39WDbJpqmaZqmaYuNxVsaGxu56667eP3115mZmeFv//ZvufPOO2lqauJSmKbJheRyOR588EGiKMK2bd6J7/s88cQTvPHGG5yTyrQwMaX44d6jCCFwbBPPs4nHHPL5BPV1SerqUtTlE9TlktTVJcnnXfLxR/FLGZTtY9smtmUghOB6UArCMKLmh9RqIbNzVcbGigyPFhg8M8XpgQnODs9QnK1SKftEUrKQYQhSSY/OpfVsfl8Xm2/rZElHHTHP5kIa6lP80i/cSTYbJ5eNo2mapmmathhZvCUWi/HRj36Ub3/72wwODvKDH/yAr371q/zmb/4m8Xicn4VpmpimyTuRUrJ3717+//bgLTau+k7g+Pd/zn/mzMyZ8TjjYezYOImxXewEQy7gODa1m0RITdKotxVqVaSqD1V57UNVZVc8NE99acsrL6VPFW2CUIVZpxUCHiK1QAiQBJcEbNmOx5cZe+y5esbnthqpWdFuyqVdVuvq9/k888wz1Go1LCvC7q4+DEMTAEEQ0Nh2aWy7FEtbLK8WucMwFOGwJhzWRCxNIh4h2RKjpSVKMhklmYiSbInS0hKlJRHBti1isTDRSBitDUzDwDAVhmFgGApDKZQCpRR34wcBgR8QBAGeH+B5Pr7v47o+1do25XKdUnmLUmmLwmaV9UKVQqHC2nqFwkaVrS2HesPBcVyCgLsyTYO4bXFv1y4efKCbQw/toa8nQzIZxTQNPo5hKB4a6kYphRBCCCHEvyrNXwwPD/Od73yHX/ziF5TLZZ5++mkSiQTf/e53icfjfJ48z+Py5cs89dRTzMzMoJRi+OhRvvn4v3Frpsp6oUJta5t63cFxXIKAv+L7AfW6Q73uUAJy+TIfpRSYpkkoZKK1gTZNtDbQ2iQS0USsEJYVwrI04ZCJ1iamaaBNAxR/JQjAdT1c18d1PeoNh3rdoV53qde3aTgeruPhuB6u4+E4Hn4Q8EmUUkQjIZItUfbuaWPw/t0cGOxi3940rckoWpt8FoahEEIIIYT4V6b5i1gsxpNPPsn09DQvvfQSq6ur/OQnP2FlZYUf/OAHdHV1oZTif1u5XGZycpKf/vSn3Lhxg6a+vj7+49/PMT5+nK26Q6VSZzVfYmW1xMpKkZVckfxahcJGhVptm+1tl8a2i+t6BAH/QxCA63q4rsf/B0oprLAmEg3RmozR3ZVi7542evam6dmXJt2WwI6FMU0DIYQQQghxd5qP2LNnD+fPn2dra4tXX32VfD7Pz372M65evcqTTz7JF7/4RZLJJEop/ln1ep3p6WmeffZZfvvb35LP52nq6enh/PnznDhxglAoRDQaJrXLZk93G02e79NouDQaLvW6w+ZmjbVCmbX1CmvrFdYLVTaLNUqlLUrlLep1B8fxcFwPx/FwXZ8gCPi8maZBSJuEwibhsMaOhkntsslkWtjdnqSjI0lnRyvtmRbi8QjRaAjTMBBCCCGEEJ+O5iOUUjz44IP8/Oc/5/z587z00kvUajWmpqa4cuUKJ06c4Otf/zojIyO0t7djWRafhed5bGxs8N577/Hiiy/y4osvMjs7i+u6mKbJQw89xFNPPcXp06cJhULcjWkYxKJhYtEwTbs7ksBumnw/YHvbxXE8HNdje9ulWm1QLG1RLG1RLG1RqdSp1rap1bap1hrU6w6NhkO94dJoODiuj+t6eK6P5/sEAf9NKVBKYZoGWhtobWKFNZFIiGgkRCQSIm5bJBIREvEoLYkIra0x2lJxWlqiRCyNZYWwwhrDUAghhBBCiH+c5m8opThw4ABPP/00Q0NDPPvss8zPz5PL5fjNb37D1NQU/f39HDt2jEOHDjE4OMju3buJxWKEQiFM00Qphe/7OI5DvV5nfX2dDz/8kHfffZc//elPXLt2jXw+j+d5NLW2tnLmzBl++MMfcvDgQUzT5B9hGIpIJEQkEuLj+H6A6/l4rofnB/iej+cH+L6P7wcEQUAQgOf5eL7PHQqFaRoYhkIphWEoDENhmgamoTBMA60NtGliGAohhBBCCPH50dyFUorOzk5+9KMfMTExwa9+9Sv+8Ic/sLKyQrFY5MqVK7z11ltEo1FaWlpIpVJkMhlaW1uJRqMYhkGj0aBUKpHP51lbW6NUKlGpVPA8jyalFC0tLRw5coTvfe97nD59mlQqhVKKz5thKMKGCSETIYQQQgixM2k+RiQSYXx8nEOHDnHlyhUmJyd55ZVXmJubo1QqUavVqNVqrKysMD09zSdRShGLxejo6GBkZISvfOUrTExM0NHRgWEYCCGEEEII8WlpPoVEIsHx48cZHR1laWmJd955hytXrnDjxg1mZ2cpFAo0Gg0cx8HzPJoMw0BrTTgcJpFI0N3dzf79+zl48CDDw8P09PQQj8dRSiGEEEIIIcRnpfkMLMuip6eHnp4ezp49S7lcplwuk8/nWVtbo1gs0mg08H2fcDhMPB6nra2NTCZDMpkkkUgQiUQQQgghhBDin6X5B2mt2bVrF7t27WLPnj0IIYQQQgjxf0kjhBA7TLVaJRQKEQ6H+SSbm5t4nkcqlSKfz1MoFLj33nuJxWLcunWLdDpNOp3mjkajwfLyMl1dXYRCITzPY35+nnK5TCqVIpVKMTc3h9aaffv2sb6+zurqKt3d3di2zeLiIpFIBNu2yWazeJ6HZVl0dnaSy+WIRCLYtk02m8XzPCzLore3lyAIWF5epqOjg6WlJcrlMqlUilQqxdzcHFpr9u3bx+bmJhsbG3R1dREOh1lYWCAajdLe3s7y8jLVapXu7m6a5ufnSSaTxGIxstksnudhWRa9vb2Ew2GEEGKn0wghxA7ieR7PP/889913H2NjYyil+HsWFhb45S9/yYEDBxgfH+fXv/414XCYeDzOY489xnPPPcfQ0BDf+MY3UErh+z6XL1/m0qVLnDt3jlQqxcbGBs899xzpdJqBgQFef/11stksxWKRgwcP8uc//xnbtnFdl46ODnK5HOVymeHhYbLZLLlcjlwux9DQEMVikXK5zPDwMNlsllwuRz6f58c//jHvvvsuly5d4vvf/z4XL14knU4zMDDA66+/TjabpVgscvjwYd5//30sy8K2bVKpFAsLC9TrdQ4ePMibb75JPB6npaUFy7JYWVlha2uLkZERbt++TS6XI5/Pc+7cOVKpFLVajXw+TyKRYNeuXSilEEKInUQjhBA7SKPRYHp6miAIGBkZQSnF7Owsa2trNKXTae677z5M08SyLBKJBI7j8OGHH5JKpfjyl7/MM888wxtvvEFfXx8bGxusrq7S2tpKNpvl+vXrRKNRgiCgqVKpsLGxQVdXF/F4nFAoxNjYGFNTUxQKBU6ePEkikeDChQssLS0RBAGlUolMJsPx48eZnJzkkUceYXZ2FsdxKJVKZDIZjh8/zuTkJMPDw2xubnL9+nWi0SilUomNjQ26urqIx+OEQiHGxsaYmppiaWmJtbU1urq6WFxcJJfL8a1vfYu33nqLDz74gNOnT3Pz5k3m5+c5efIkAwMDXLx4kXQ6zcTEBJOTkwwPD9Pa2orv+0xNTbGwsEAymeTxxx8nHo8jhBA7iUYIIXaQWCzG4OAgAwMDaK1xHIfFxUVmZmZo6uvrY9++fZimSXt7O4ODg1QqFcrlMlprLMvCtm1s22ZkZIT5+XkuXbrE9vY2hUKB1tZWyuUyuVyOtrY2otEoExMThMNhXnjhBZ544glefvllfN/nzJkzzM7OMjU1xdjYGDdu3KBer9NUrVZZXFzk9u3bPProo0xPT+P7Pk3VapXFxUVu377NsWPHuHDhApFIhHK5TKVSYWJignA4zAsvvMATTzzByy+/jO/7DAwMMDMzg+u6VKtVGo0GlmWRSCRoNBp0dnZy9epV6vU6nZ2dLC8v4zgOxWKRxcVFbt++zYkTJzAMA8/zaGo0Gti2jVIKIYTYaTRCCLHDKKUol8sEQUCT67o0Gg2aHMfhbnbv3s21a9e4ceMG0WiU0dFRbNsmk8nQ19dHpVLh/fffJ5fLUS6XKRQKfPDBB2it8X0f27ZpunjxIrFYjPHxcWZnZ3n++ec5efIkqVSK9fV1JiYmuHnzJuvr6+RyObq7u4lEImxsbDA2NsbNmzdZX18nl8vR3d1NMpnk/vvvZ2VlhXK5zObmJoZhYNs2TRcvXiQWizE+Ps7i4iKpVIrR0VF+97vfEQqFuH79OgsLCyil+P3vf8/g4CA3b97kwoULPPzww+zdu5fNzU0KhQLd3d0kEgmafN8nmUyyf/9+rl69yqOPPopt2wghxE6iEUKIHebw4cOsra3heR5aa0ZHRzly5AhNlmWhteaO/v5+tre36evrI5vNcuvWLb70pS8Ri8VoMgyDtrY22tra2Lt3L1tbW/T399Pb28vMzAxf+MIXaJqenubUqVOsrq6Sy+W4du0abW1t9PX1sbS0RL1e59SpU7z33nvEYjGOHj3KwsIC7e3t2LbNV7/6Vd58801isRhHjx5lYWGB9vZ2IpEIjz32GFtbW/T399Pb28sf//hHpqenOXXqFKurq+RyOa5du8bg4CBNb7/9NmfOnOGee+7h8uXLZDIZHnnkEV555RXefvttvva1r6G15o033qC1tZXR0VHm5uZob29HKUWT1ppEIsHc3BzHjh0jlUohhBA7jUYIIXaYBx54gCAIUErRZNs2tm1zN/39/dxx6tQpfN/HNE3+nmg0ysjICE333HMPTWfPnsX3fUzT5JM8/PDDKKUwDINMJsMdQ0ND7N+/H6UUhmGQyWT4qGg0ysjICE1nz57F931M0+RvBUGA53mYpolSit7eXgzDQCnFt7/9bXzfR2tN0+HDhzEMA8MwSKfTfJRSiuHhYY4cOYJpmiilEEKInUYjhBA7kFKKz0ophWmafFZKKUzT5NMwTZO/xzRNPg2lFKZpcjdKKbTW3GGaJncYhoFhGNyhtebjKKXQWiOEEDuVRgghhBBCiB1II4QQQgghxA6kEUIIIYQQYgfSwDZQRQghhBBCiJ1jW7/22mv/CSwhhBBCCCHEDvHaa6+9819EF+uxR6iLEQAAAABJRU5ErkJggg==",
"text/plain": [
- ""
+ "1102×1378 Array{RGBA{N0f8},2} with eltype ColorTypes.RGBA{FixedPointNumbers.N0f8}:\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " ⋮ ⋱ \n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,1.0)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,0.667) RGBA{N0f8}(1.0,1.0,1.0,0.667)"
]
},
+ "execution_count": 13,
"metadata": {},
- "output_type": "display_data"
+ "output_type": "execute_result"
}
],
"source": [
@@ -486,13 +685,13 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 14,
"id": "cb832d8c",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
""
]
@@ -552,7 +751,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.16"
+ "version": "3.9.23"
}
},
"nbformat": 4,
diff --git a/examples/rmg/catalysis/methane_steam/input.py b/examples/rmg/catalysis/methane_steam/input.py
index 22c4e098502..5eb8078b7d4 100644
--- a/examples/rmg/catalysis/methane_steam/input.py
+++ b/examples/rmg/catalysis/methane_steam/input.py
@@ -1,7 +1,7 @@
# Data sources
database(
thermoLibraries=['surfaceThermoNi111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC'],
- reactionLibraries = [('Surface/Deutschmann_Ni', True)], # when Pt is used change the library to Surface/CPOX_Pt/Deutschmann2006
+ reactionLibraries = [('Surface/Methane/Deutschmann_Ni', True)], # when Pt is used change the library to Surface/CPOX_Pt/Deutschmann2006
seedMechanisms = [],
kineticsDepositories = ['training'],
kineticsFamilies = ['surface','default'],
diff --git a/examples/rmg/ch3no2/input.py b/examples/rmg/ch3no2/input.py
index 1e1de348eab..5cebce3dbdc 100644
--- a/examples/rmg/ch3no2/input.py
+++ b/examples/rmg/ch3no2/input.py
@@ -80,8 +80,13 @@
)
simulator(atol=1e-16,rtol=1e-8)
+
options(
units='si',
generateOutputHTML=False,
generatePlots=False,
+ # Large model: write output every 5 iterations to reduce I/O
+ generateChemkin={'saveInterval': 5, 'saveEdge': False},
+ generateRMSYAML={'saveInterval': 5},
+ generateCanteraYAML2={'saveInterval': 10, 'saveEdge': True},
)
diff --git a/examples/rmg/commented/input.py b/examples/rmg/commented/input.py
index 6cc5173c9f3..40649d2814d 100644
--- a/examples/rmg/commented/input.py
+++ b/examples/rmg/commented/input.py
@@ -217,25 +217,50 @@
generateOutputHTML=True,
# generates plots of the RMG's performance statistics. Not helpful if you just want a model.
generatePlots=False,
+ # generates potential energy surface diagrams for pressure dependent networks in the model.
+ generatePESDiagrams=False,
# saves mole fraction of species in 'solver/' to help you create plots
saveSimulationProfiles=False,
- # gets RMG to output comments on where kinetics were obtained in the chemkin file.
- # useful for debugging kinetics but increases memory usage of the chemkin output file
+ # Verbose comments (controls how detailed the kinetics/thermo source comments are,
+ # e.g. listing every rate rule that was averaged).
+ # Useful for debugging kinetics but increases output file size.
verboseComments=False,
- # gets RMG to generate edge species chemkin files. Uses lots of memory in output.
- # Helpful for seeing why some reaction are not appearing in core model.
+ # Global fallback for saving edge-species files. Uses lots of memory in output.
+ # Helpful for seeing why some reactions are not appearing in the core model.
+ # Individual writers can override this with their own saveEdge key.
saveEdgeSpecies=False,
- # Sets a time limit in the form DD:HH:MM:SS after which the RMG job will stop. Useful for profiling on jobs that
- # do not converge.
- # wallTime = '00:00:00',
- # Forces RMG to import library reactions as reversible (default). Otherwise, if set to True, RMG will import library
- # reactions while keeping the reversibility as as.
+ # Sets a time limit in the form DD:HH:MM:SS after (or shortly before) which the RMG job will stop.
+ # Useful for profiling on jobs that do not converge.
+ wallTime = '00:00:00:00',
+ # If keepIrreversible=False (default) forces RMG to import library reactions as reversible.
+ # If set to True, RMG will import library reactions while keeping the reversibility as specified.
keepIrreversible=False,
# Allows families with three products to react in the diverse direction (default).
trimolecularProductReversible=True,
# Allows a seed to be saved every n iterations.
# The default of -1 causes the iteration to only be saved at the end of the RMG job
- saveSeedModulus=-1
+ saveSeedModulus=-1,
+ #
+ # --- Per-writer output configuration ---
+ # Each writer accepts True/False or a dict with keys:
+ # 'saveInterval': N (positive = every N iterations; -1 = end of run only)
+ # 'saveEdge': True/False (overrides the global saveEdgeSpecies above)
+ #
+ # Chemkin writer: always on by default; saves every iteration.
+ generateChemkin=True,
+ # generateChemkin={'saveInterval': -1, 'saveEdge': True},
+ #
+ # RMS YAML writer: always on by default; saves every iteration.
+ generateRMSYAML=True,
+ # generateRMSYAML={'saveInterval': -1},
+ #
+ # Cantera YAML v1 writer: off by default.
+ generateCanteraYAML1=False,
+ # generateCanteraYAML1={'saveInterval': -1, 'saveEdge': False},
+ #
+ # Cantera YAML v2 writer: off by default.
+ generateCanteraYAML2=False,
+ # generateCanteraYAML2={'saveInterval': 1, 'saveEdge': True},
)
# optional module allows for correction to unimolecular reaction rates at low pressures and/or temperatures.
@@ -248,8 +273,8 @@
minimumNumberOfGrains=250,
# the conditions for the rate to be output over
# parameter order is: low_value, high_value, units, internal points
- temperatures=(300, 2200, 'K', 2),
- pressures=(0.01, 100, 'bar', 3),
+ temperatures=(300, 2200, 'K', 10),
+ pressures=(0.01, 100, 'bar', 10),
# The two options for interpolation are 'PDepArrhenius' (no extra arguments) and
# 'Chebyshev' which is followed by the number of basis sets in
# Temperature and Pressure. These values must be less than the number of
@@ -258,6 +283,11 @@
# turns off pressure dependence for molecules with number of atoms greater than the number specified below
# this is due to faster internal rate of energy transfer for larger molecules
maximumAtoms=15,
+ # (optional) list of networks that have been thoroughly studied and should not be expanded
+ # by RMG. This is useful when you have a detailed mechanism for a specific network (e.g., from
+ # a seed mechanism or reaction library) and don't want RMG to add its own estimates which may
+ # make the model worse. Specify networks by their chemical formula, e.g., ['CH2O2', 'C2H6']
+ # completedNetworks=['CH2O2'],
)
# optional block adds constraints on what RMG can output.
@@ -285,8 +315,6 @@
# If this is false or missing, RMG will throw an error if the more less-stable form of O2 is entered
# which doesn't react in the RMG system. normally input O2 as triplet with SMILES [O][O]
# allowSingletO2=False,
- # maximum allowed number of non-normal isotope atoms:
- # maximumIsotopicAtoms=2,
)
# optional block allows thermo to be estimated through quantum calculations
diff --git a/examples/rmg/diesel/input.py b/examples/rmg/diesel/input.py
index 0492c2b8db2..4fae7410917 100644
--- a/examples/rmg/diesel/input.py
+++ b/examples/rmg/diesel/input.py
@@ -86,4 +86,9 @@
units='si',
generateOutputHTML=False,
generatePlots=False,
+ # Large model: write output every 5 iterations and skip edge species to reduce I/O
+ generateChemkin={'saveInterval': 5, 'saveEdge': False},
+ generateRMSYAML={'saveInterval': 5},
+ generateCanteraYAML1={'saveInterval': 10},
+ generateCanteraYAML2={'saveInterval': 10},
)
diff --git a/examples/rmg/e85/input.py b/examples/rmg/e85/input.py
index 6dcf96aa433..2b895c27374 100644
--- a/examples/rmg/e85/input.py
+++ b/examples/rmg/e85/input.py
@@ -4,7 +4,7 @@
reactionLibraries = [],
seedMechanisms = ['GRI-Mech3.0'],
kineticsDepositories = ['training'],
- kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'],
+ kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'],
kineticsEstimator = 'rate rules',
)
@@ -87,5 +87,9 @@
units='si',
generateOutputHTML=False,
generatePlots=False,
+ generateChemkin={'saveInterval': 5, 'saveEdge': True},
+ generateRMSYAML={'saveInterval': 5},
+ generateCanteraYAML1={'saveInterval': 5},
+ generateCanteraYAML2={'saveInterval': 5},
)
diff --git a/examples/rmg/ethane-oxidation/input.py b/examples/rmg/ethane-oxidation/input.py
index 64fdfbd67c4..c90797ec987 100644
--- a/examples/rmg/ethane-oxidation/input.py
+++ b/examples/rmg/ethane-oxidation/input.py
@@ -61,10 +61,12 @@
temperatures=(300,3000,'K',8),
pressures=(0.001,100,'bar',5),
interpolation=('Chebyshev', 6, 4),
+ completedNetworks=['C2H6'],
)
options(
units='si',
generateOutputHTML=False,
generatePlots=False,
+ generatePESDiagrams=True,
)
diff --git a/examples/rmg/gri_mech_rxn_lib/input.py b/examples/rmg/gri_mech_rxn_lib/input.py
index a4749408099..033663936d6 100644
--- a/examples/rmg/gri_mech_rxn_lib/input.py
+++ b/examples/rmg/gri_mech_rxn_lib/input.py
@@ -40,6 +40,10 @@
maximumEdgeSpecies=100000
)
+generatedSpeciesConstraints(
+ maximumCarbeneRadicals=2,
+)
+
options(
units='si',
generateOutputHTML=False,
diff --git a/examples/rmg/heptane-eg5/input.py b/examples/rmg/heptane-eg5/input.py
index ee19001b306..b3d9b50e775 100644
--- a/examples/rmg/heptane-eg5/input.py
+++ b/examples/rmg/heptane-eg5/input.py
@@ -3,7 +3,7 @@
thermoLibraries = ['primaryThermoLibrary'],
reactionLibraries = [],
seedMechanisms = [],
- kineticsDepositories = ['training'],
+ kineticsDepositories = ['training'],
kineticsFamilies = 'default',
kineticsEstimator = 'rate rules',
)
@@ -71,4 +71,12 @@
interpolation=('Chebyshev', 6, 4),
)
-
+options(
+ units='si',
+ generateOutputHTML={'saveInterval': 10, 'saveEdge': True},
+ generatePlots=False,
+ generateChemkin={'saveInterval': 1, 'saveEdge': False},
+ generateRMSYAML={'saveInterval': 5},
+ generateCanteraYAML1={'saveInterval': 5, 'saveEdge': True},
+ generateCanteraYAML2={'saveInterval': 10, 'saveEdge': True},
+)
diff --git a/examples/rmg/methylformate/input.py b/examples/rmg/methylformate/input.py
index 783e04130e8..9ed267a9242 100644
--- a/examples/rmg/methylformate/input.py
+++ b/examples/rmg/methylformate/input.py
@@ -4,7 +4,7 @@
reactionLibraries = [('Methylformate',False),('Glarborg/highP',False)],
seedMechanisms = ['Glarborg/C2'],
kineticsDepositories = ['training'],
- kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'],
+ kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'],
kineticsEstimator = 'rate rules',
)
@@ -157,6 +157,7 @@
pressures=(0.02,100,'bar',5),
interpolation=('Chebyshev', 6, 4),
maximumAtoms=16,
+ completedNetworks=['CH2O2'],
)
options(
diff --git a/examples/rmg/minimal_sensitivity/input.py b/examples/rmg/minimal_sensitivity/input.py
index c9358cadcd7..85eb1cdf73e 100644
--- a/examples/rmg/minimal_sensitivity/input.py
+++ b/examples/rmg/minimal_sensitivity/input.py
@@ -4,7 +4,7 @@
reactionLibraries = [],
seedMechanisms = [],
kineticsDepositories = ['training'],
- kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O'],
+ kineticsFamilies = ['!Intra_Disproportionation','!Substitution_O', '!surface'],
kineticsEstimator = 'rate rules',
)
diff --git a/examples/rmg/nox_transitory_edge/input.py b/examples/rmg/nox_transitory_edge/input.py
index a130c79fd06..569f116699c 100644
--- a/examples/rmg/nox_transitory_edge/input.py
+++ b/examples/rmg/nox_transitory_edge/input.py
@@ -12,10 +12,12 @@
reactive=True,
structure=SMILES("CC"),
)
+
species(
label='O2',
structure=SMILES("[O][O]"),
)
+
species(
label='N2',
reactive=False,
@@ -76,6 +78,7 @@
generatedSpeciesConstraints(
allowed=['input species','seed mechanisms','reaction libraries'],
+ allowSingletO2=True,
#maximumCarbonAtoms=5,
#maximumOxygenAtoms=8,
#maximumNitrogenAtoms=0,
diff --git a/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb b/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb
index 44befc780f1..466a9c50295 100644
--- a/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb
+++ b/examples/rmg/superminimal/sensitivity_analysis_superminimal_RMS.ipynb
@@ -15,10 +15,128 @@
"execution_count": 1,
"id": "82bfbe9d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "[ Info: Waiting for another process (pid: 19179) to finish precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/ReactionMechanismSimulator/e5wF8_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n",
+ "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n",
+ "[ Info: Waiting for another process (pid: 19179) to finish precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/Symbolics/eABRO_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n",
+ "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n",
+ "[ Info: Waiting for another process (pid: 19179) to finish precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/ModelingToolkit/Qmdqu_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n",
+ "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-88f2-9430b429cb81 is missing from the cache.\n",
+ "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n",
+ "└ @ Base loading.jl:2018\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n",
+ "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n",
+ "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n",
+ "[ Info: Waiting for another process (pid: 19159) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n",
+ "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n",
+ "┌ Warning: MKL_jll is not available/installed.\n",
+ "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n"
+ ]
+ }
+ ],
"source": [
- "from pyrms import rms\n",
- "from diffeqpy import de\n",
+ "from juliacall import Main as rms\n",
+ "rms.seval(\"using PythonCall\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n",
+ "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
@@ -35,7 +153,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "f9caf172",
"metadata": {},
"outputs": [],
@@ -68,7 +186,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"id": "76557080",
"metadata": {},
"outputs": [
@@ -76,13 +194,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "RDKit WARNING: [21:48:22] WARNING: not removing hydrogen atom without neighbors\n",
- "[21:48:22] WARNING: not removing hydrogen atom without neighbors\n"
+ "[22:41:39] WARNING: not removing hydrogen atom without neighbors\n"
]
}
],
"source": [
- "mechanism_path = \"/rmg/RMG-Py/examples/rmg/superminimal/rms/chem13.rms\" # You may change the path to actual mechanism file path\n",
+ "mechanism_path = \"rms/chem13.rms\" # You may change the path to actual mechanism file path\n",
"\n",
"phase_dict = rms.readinput(mechanism_path)\n",
"spcs = phase_dict[\"phase\"][\"Species\"]\n",
@@ -164,7 +281,7 @@
"metadata": {},
"outputs": [],
"source": [
- "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)"
+ "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))"
]
},
{
@@ -203,13 +320,13 @@
},
{
"cell_type": "code",
- "execution_count": 24,
+ "execution_count": 8,
"id": "051a8d03",
"metadata": {},
"outputs": [],
"source": [
- "sol = de.solve(react.ode,\n",
- " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ "sol = rms.solve(react.ode,\n",
+ " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
" abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n",
" reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n",
" )"
@@ -273,13 +390,13 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 10,
"id": "d6cc9fcc",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
""
]
@@ -314,13 +431,13 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 11,
"id": "9576bfd2",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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2nZmZqYyMDIcFAACUXaUSXo4ePSpjjMLDw/PcHh4erkuXLun77793WH/jxg1NnjxZAwYMkI+PT55t4+Li5Ovra18CAgKKvX4AAOA6XOJqo5wRF5vNZl+XnZ2t/v376/bt24qPj8+3bWxsrNLT0+1LampqidcLAACcp1TCS0hIiGw2m5KTk/PcfvjwYVWtWlU1atSQdCe49O3bVydPntTmzZvzHXWRJHd3d/n4+DgsAACg7CqV8FK9enV17dpV8fHxun79usO2c+fOKSEhQf369ZPNZrMHl6NHj+qzzz5T9erVS6NEAABgEaX2tdGiRYuUmZmpbt26aevWrUpNTdUnn3yirl27qm7dupo5c6Zu3rypX/3qV9q9e7cSEhJ069YtnTt3TufOnVNWVlZplQoAAFxYqYWX0NBQ7d69W8HBwerXr5+Cg4M1YsQIde7cWV999ZWqVaum7777TuvXr9d3332niIgI1alTx75s3769tEoFAAAurNT+zoskBQYGatmyZfluDwoKyvNyaQAAgBwucbURAADA/SK8AAAASyG8AAAASyG8AAAASyG8AAAASyG8AAAASynVS6VhPadm93R2CQAAOGDkBQAAWArhBQAAWArhBQAAWArhBQAAWArhBQAAWArhBQAAWAqXSqPYBU3eWOLH4BJuAHh4MfICAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAspdTCy5AhQ9S7d+9c65OSkmSz2XT58mUlJSWpV69eqlOnjipXrqyIiAglJCSUVokAAMACXGrkZfv27WrWrJnWrFmjAwcOaOjQoRo0aJA++ugjZ5cGAABchEv9ttFLL73kcHvMmDHatGmT1q1bp+joaCdVBQAAXIlLhZe8pKenKzw8PN/tmZmZyszMtN/OyMgojbIAAICTlGp42bBhg7y8vBzW3bp1K9/9V69erV27dumtt97Kd5+4uDhNnz692GoEAACurVTnvHTu3Fn79u1zWN555508901KStKQIUP09ttvq3Hjxvn2GRsbq/T0dPuSmppaUuUDAAAXUKojL5UrV1ZISIjDuu+++y7Xflu2bFF0dLRef/11DRo0qMA+3d3d5e7uXqx1AgAA1+VSVxtJd0ZcevbsqdmzZ2vEiBHOLgcAALgYl5qwmxNcYmJi1KdPH507d06S5ObmpmrVqjm5OgAA4ApcauRl+fLlunbtmuLi4lSnTh378tRTTzm7NAAA4CJsxhjj7CKKU0ZGhnx9fZWeni4fHx9nl/NQCpq8scSPcWp2zxI/BgCg9BTm/dulRl4AAADuhfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAsxaX+wi7KBv4GCwCgJDHyAgAALIXwAgAALIXwAgAALIXwAgAALIXwAgAALIXwAgAALIVLpWFJQZM3lvgxuOQbAFwTIy8AAMBSCC8AAMBSCC8AAMBSCC8AAMBSCC8AAMBSCC8AAMBSCC8AAMBSCC8AAMBSSjS8REVFyWazyWazad++faXWFgAAlF0lPvIyfPhwpaWlqUmTJjp16lS+YSQqKkpjx4613167dq127txZ0uUBAACLKfGfB/D09JSfn1+h21WrVk0ZGRklUBEAALAyy/+2UWZmpjIzM+23CTwAAJRtlp+wGxcXJ19fX/sSEBDg7JIAAEAJckp4ad++vby8vByWL7/8skh9xcbGKj093b6kpqYWc7UAAMCVOOVro1WrVik8PNxh3cCBA4vUl7u7u9zd3YujLAAAYAFOCS8BAQEKCQlxWOfh4eGMUgAAgMVYfs4LAAB4uBBeAACApRBeAACApZTqnJegoCAZY/LclpSUVJqlAAAAiyrxkZf4+Hh5eXnp4MGDhWrXvXt3NW7cuISqAgAAVlWiIy8JCQm6fv26JKl+/fqFavvOO+8UuS0AACi7SjS81K1b1yltAQBA2cWEXQAAYCmEFwAAYCmEFwAAYClO+XkA4EGdmt3T2SUAAJyEkRcAAGAphBcAAGAphBcAAGAphBcAAGAphBcAAGAphBcAAGApXCoNSwqavLFI7bjEGgCsj5EXAABgKYQXAABgKYQXAABgKYQXAABgKYQXAABgKYQXAABgKYQXAABgKYQXAABgKYUOL1FRUbLZbLLZbNq3b1+h2iYlJdnb9u7du7CHBgAAKNrIy/Dhw5WWlqYmTZrY161YsUJt27ZV5cqV5e3trU6dOmnDhg0O7dq3b6+0tDT17ds3V5+HDh1S3759VbNmTbm7uys0NFRTpkzRtWvXilIiAAAoo4oUXjw9PeXn56cKFe78usCECRM0cuRI9e3bV/v379fOnTvVsWNH9erVS4sWLbK3c3Nzk5+fnzw8PBz627Fjhx599FFlZWVp48aNSklJ0axZs7RixQp17dpVWVlZD3AXAQBAWfLAv220Y8cOzZs3T2+++aZGjx5tXz9z5kzduHFD48aNU69evRQQEJBne2OMhg0bpvDwcK1du1blyt3JU4GBgQoLC1OLFi00f/58TZo06UFLBQAAZcADT9hNTEyUl5eXRo4cmWvb+PHjlZ2drTVr1uTbft++fUpOTta4cePswSVH8+bN1aVLFyUmJubbPjMzUxkZGQ4LAAAoux44vKSkpCg4OFhubm65tvn7+8vX11cpKSkFtpek8PDwPLeHh4cX2D4uLk6+vr72Jb8RHgAAUDaU+KXSxhjZbLYSax8bG6v09HT7kpqaWuRjAQAA1/fA4SUsLEzHjx/Pc1Lt2bNnlZGRodDQ0ALbS1JycnKe2w8fPlxge3d3d/n4+DgsAACg7Hrg8NK/f39dvXpVb731Vq5tc+fOVcWKFdWnT59820dERKhhw4aaP3++bt++7bBt//79+uyzz/TrX//6QcsEAABlxANfbRQZGamYmBhNnDhRWVlZ6t27t7Kzs/Xuu+/qjTfe0IIFCwqch2Kz2fTOO+/o8ccfV58+fRQbGys/Pz/961//0vjx4xUZGamxY8c+aJkAAKCMKJY5LwsWLFB8fLxWrlyppk2bqlWrVtqyZYs++OADh8un89OhQwft2LFD5cuXV48ePRQSEqLY2FgNHjxYmzdvlru7e3GUCQAAyoAHHnnJMXToUA0dOrTI7Zs2barVq1cXVzkAAKCMKtLIS3x8vLy8vHTw4MFCtfvyyy/l5eWlhISEohwWAACg8CMvCQkJun79uiSpfv36hWrbunVr+485enl5FfbQAAAAhQ8vdevWLfLBPDw8FBISUuT2AAAAJf5H6gAAAIoT4QUAAFgK4QUAAFhKsV0qDZSmU7N7OrsEAICTMPICAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAshfACAAAspUjhJTU1VcOGDZO/v7/c3NwUGBiomJgYXbhw4YGK2bBhg6KiouTt7S1PT0+1adNGy5cvf6A+AQBA2VLo8HLixAm1bt1aKSkpSkxM1LFjx7RkyRJ9/vnnioyM1MWLF4tUyMKFC9WrVy+1b99e//rXv3TgwAH1799fzz33nCZMmFCkPgEAQNljM8aYwjTo3r27vv76a6WkpMjDw8O+/ty5cwoODtagQYO0ePHiQhWRmpqq4OBgjR49WvPmzXPYtnDhQo0ZM0Y7duzQo48+es++MjIy5Ovrq/T0dPn4+BSqDgAA4ByFef8u1MjLxYsXtWnTJj3//PMOwUWS/Pz8NHDgQK1atUrGGD333HPy8vIqcDl9+rQkafXq1crOzs5zhGXkyJHy8vJSYmJinjVlZmYqIyPDYQEAAGVXhcLsfPToURljFB4enuf28PBwXbp0Sd9//71mzJhxz697/P39JUkpKSny9fVVnTp1cu3j5uamn/zkJ0pJScmzj7i4OE2fPr0wdwMAAFhYocLLveR8A2Wz2VSzZk3VqlWr2Pq12Wx5bouNjdW4cePstzMyMhQQEFAsxwUAAK6nUF8bhYSEyGazKTk5Oc/thw8fVtWqVVWjRo1CfW0UFham9PR0nT17NlefWVlZOnHihEJDQ/M8pru7u3x8fBwWAABQdhV6wm63bt106NAhHT16tMAJu+fPn7/n/JOgoCBVqFBBp0+fVnBwsMaMGZNrwu6bb76pmJgYJuwCAFCGFeb9u9BfGy1atEjt27dXt27d9Nprr6lBgwY6dOiQJk6cqLp162rmzJmSpFq1at3310b169fXH/7wB02YMEGVKlXSM888o4oVK+rDDz/USy+9pPHjx99XcAEAAGVfoUdeJOnbb7/VtGnT9Mknn+jChQvy8/NT7969NXXqVFWvXr3Ixaxfv15z587V3r17devWLTVu3FijRo3Ss88+e999MPICAID1FOb9u0jhxZURXgAAsJ4S+zsvAAAAzkZ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAlkJ4AQAAllJq4WXIkCGy2WyaPXu2w/oPPvhANptNkpSUlKRevXqpTp06qly5siIiIpSQkFBaJQIAAAso1ZGXSpUqac6cObp06VKe27dv365mzZppzZo1OnDggIYOHapBgwbpo48+Ks0yAQCAC6tQmgfr0qWLjh07pri4OP3hD3/Itf2ll15yuD1mzBht2rRJ69atU3R0dJ59ZmZmKjMz0347IyOjeIsGAAAupVRHXsqXL69Zs2Zp4cKF+u677+6rTXp6uqpVq5bv9ri4OPn6+tqXgICA4ioXAAC4oFKfsPvLX/5SERERmjp16j33Xb16tXbt2qVnn302331iY2OVnp5uX1JTU4uzXAAA4GJK9WujHHPmzNHPf/5zjR8/Pt99kpKSNGTIEL399ttq3Lhxvvu5u7vL3d29JMoEAAAuyCmXSnfq1EndunXLNcclx5YtWxQdHa3XX39dgwYNKuXqAACAK3PKyIskzZ49WxEREQoLC3NYn5SUpCeeeEJz5szRiBEjnFQdAABwVU4LL02bNtXAgQO1cOFC+7qkpCT17NlTMTEx6tOnj86dOydJcnNzK3DSLgAAeHg49S/svvrqqzLG2G8vX75c165dU1xcnOrUqWNfnnrqKSdWCQAAXInN/Dg9lAEZGRny9fVVenq6fHx8nF0OAAC4D4V5/+a3jQAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKUQXgAAgKVUcHYBxc0YI0nKyMhwciUAAOB+5bxv57yPF6TMhZcrV65IkgICApxcCQAAKKwrV67I19e3wH1s5n4ijoXcvn1bZ8+elbe3t2w2W6HbZ2RkKCAgQKmpqfLx8SmBCvGgeIysgcfJ9fEYub6H6TEyxujKlSvy9/dXuXIFz2opcyMv5cqVU7169R64Hx8fnzL/RLE6HiNr4HFyfTxGru9heYzuNeKSgwm7AADAUggvAADAUggvd3F3d9fUqVPl7u7u7FKQDx4ja+Bxcn08Rq6PxyhvZW7CLgAAKNsYeQEAAJZCeAEAAJZCeAEAAJZCeAEAAJZCeMnHqVOnNGzYMDVo0EAeHh4KDg7W1KlTlZWV5ezSHnrx8fFq0KCBKlWqpFatWunLL790dkn4P3FxcWrTpo28vb1Vq1Yt9e7dW0eOHHF2WShAXFycbDabxo4d6+xScJczZ87oN7/5japXry5PT09FRERoz549zi7LJRBe8nH48GHdvn1bb731lg4dOqT58+dryZIleumll5xd2kNt1apVGjt2rF5++WX9+9//VseOHdW9e3edPn3a2aVB0pYtWzRq1Cjt2LFDmzdv1s2bN/X444/rhx9+cHZpyMOuXbu0dOlSNWvWzNml4C6XLl1Shw4dVLFiRf39739XcnKy5s2bpypVqji7NJfApdKF8Mc//lGLFy/WiRMnnF3KQ+vRRx9Vy5YttXjxYvu68PBw9e7dW3FxcU6sDHn5/vvvVatWLW3ZskWdOnVydjn4katXr6ply5aKj4/Xa6+9poiICC1YsMDZZeH/TJ48Wdu2bWNkOR+MvBRCenq6qlWr5uwyHlpZWVnas2ePHn/8cYf1jz/+uLZv3+6kqlCQ9PR0SeJ144JGjRqlnj17qkuXLs4uBXlYv369Wrduraefflq1atVSixYt9Pbbbzu7LJdBeLlPx48f18KFC/Xcc885u5SH1n//+1/dunVLtWvXdlhfu3ZtnTt3zklVIT/GGI0bN04//elP1aRJE2eXgx9ZuXKl9u7dy2ilCztx4oQWL16s0NBQbdq0Sc8995zGjBmjv/zlL84uzSU8dOFl2rRpstlsBS67d+92aHP27Fn94he/0NNPP63f/va3TqocOWw2m8NtY0yudXC+F154QQcOHFBiYqKzS8GPpKamKiYmRu+++64qVark7HKQj9u3b6tly5aaNWuWWrRooZEjR2r48OEOX5k/zCo4u4DS9sILL6h///4F7hMUFGT/99mzZ9W5c2dFRkZq6dKlJVwdClKjRg2VL18+1yjL+fPnc43GwLlGjx6t9evXa+vWrapXr56zy8GP7NmzR+fPn1erVq3s627duqWtW7dq0aJFyszMVPny5Z1YISSpTp06atSokcO68PBwrVmzxkkVuZaHLrzUqFFDNWrUuK99z5w5o86dO6tVq1ZatmyZypV76AaqXIqbm5tatWqlzZs365e//KV9/ebNm9WrVy8nVoYcxhiNHj1a69atU1JSkho0aODsknCXxx57TAcPHnRY9+yzz6phw4aaNGkSwcVFdOjQIdefGUhJSVFgYKCTKnItD114uV9nz55VVFSU6tevr7lz5+r777+3b/Pz83NiZQ+3cePG6ZlnnlHr1q3to2GnT59mLpKLGDVqlN577z19+OGH8vb2to+S+fr6ysPDw8nVQZK8vb1zzUGqXLmyqlevztwkF/Liiy+qffv2mjVrlvr27audO3dq6dKlfAPwfwgv+fj000917NgxHTt2LNewN1eXO0+/fv104cIFzZgxQ2lpaWrSpIk+/vhjPo24iJzv46OiohzWL1u2TEOGDCn9ggCLatOmjdatW6fY2FjNmDFDDRo00IIFCzRw4EBnl+YS+DsvAADAUpjEAQAALIXwAgAALIXwAgAALIXwAgAALIXwAgAALIXwAgAALIXwAgAALIXwAgDAQ2rr1q2Kjo6Wv7+/bDabPvjggxI/5pkzZ/Sb3/xG1atXl6enpyIiIrRnz55C9UF4AQopKSlJNptNly9fliQtX75cVapUKdFjDhkyRL179y7RYxS3adOmKSIiwtlluJRTp07JZrNp3759Be4XFRWlsWPH3ne/9/P8uPt5WxI++OADhYSEqHz58oWqH87zww8/qHnz5lq0aFGpHO/SpUvq0KGDKlasqL///e9KTk7WvHnzCv9/qAGcZPDgwUaSiYuLc1i/bt0648pPzS+++MJIMpcuXTLGGHPt2jXzn//8p0SPOXjwYNOrV698t0kqcHGGK1eumP/+978OdeZ3H0rL6tWrTdu2bY2Pj4/x8vIyjRo1MuPGjSu149+8edOkpaWZ7OxsY0zu51KOCxcumIyMjPvu9/Llyw59/OxnPzMxMTEO+2RmZpq0tDRz+/btopZ/T7Vq1TKTJk0yZ86cKVT99yO/58/d5/CLL74wTz75pPHz8zOenp6mefPm5t133y3WWsoqSWbdunUO6zIzM83EiRONv7+/8fT0NG3btjVffPFFkY8xadIk89Of/vTBCjXGMPICp6pUqZLmzJmjS5cuFWu/WVlZxdpfQTw8PFSrVq1SO97d3njjDaWlpdkX6c5vCd29LkdpnRsvLy9Vr1692Pstav2fffaZ+vfvr1/96lfauXOn9uzZo5kzZ5bqc6V8+fLy8/NThQoF/6xctWrV5O3tfd/9+vr63vOTq5ubm/z8/GSz2e6738K4evWqzp8/r27dusnf379Q9f/Ygz4e27dvV7NmzbRmzRodOHBAQ4cO1aBBg/TRRx89UL8Pq2effVbbtm3TypUrdeDAAT399NP6xS9+oaNHjxapv/Xr16t169Z6+umnVatWLbVo0UJvv/124Tt64PgDFNHgwYPNE088YRo2bGgmTpxoX5/XyMvq1atNo0aNjJubmwkMDDRz58512B4YGGheffVVM3jwYOPj42MGDRpkli1bZnx9fc1HH31kwsLCjIeHh+nTp4+5evWqWb58uQkMDDRVqlQxL7zwgrl586a9r7/+9a+mVatWxsvLy9SuXdv8+te/dhhZufuTXs5xflyLChj9+O6770zfvn1NlSpVTLVq1cyTTz5pTp48ad9+8+ZN8+KLLxpfX19TrVo1M3HiRDNo0KD7HrXQXZ+efvazn5lRo0aZF1980VSvXt106tTJGGPMvHnzTJMmTYynp6epV6+e+d3vfmeuXLlib5dzvz755BPTsGFDU7lyZdOtWzdz9uxZh3PRpk0b4+npaXx9fU379u3NqVOnjDHGTJ061TRv3tz+77vPR86ntwMHDpjOnTubSpUqmWrVqpnhw4c71JHziXvWrFmmTp06JjAw0EyfPt00adIk131v2bKlmTJlSp7nJSYmxkRFRd3z/K1fv960bNnSuLu7mwYNGphp06bZR0pyzu/bb79tevfubTw8PExISIj58MMP7dsvXrxoBgwYYGrUqGEqVapkQkJCzP/+7/8aY4w5efKkkWT+/e9/2//942Xw4MH2xyxn5GTy5Mnm0UcfzVVn06ZNzSuvvOJwjnL+fXe/J0+ezHOUZ9u2baZjx46mUqVKpl69emb06NHm6tWr9u1/+tOfTEhIiHF3dze1atUyffr0yfOc5fSd1+NblNduXu535CUvPXr0MM8++2y+23HH3f93HDt2zNhsNnPmzBmH/R577DETGxtbpGO4u7sbd3d3Exsba/bu3WuWLFliKlWqZFasWFG4Wot0dKAY5PxntHbtWlOpUiWTmppqjMkdXnbv3m3KlStnZsyYYY4cOWKWLVtmPDw8zLJly+z7BAYGGh8fH/PHP/7RHD161Bw9etQsW7bMVKxY0XTt2tXs3bvXbNmyxVSvXt08/vjjpm/fvubQoUPmo48+Mm5ubmblypX2vv785z+bjz/+2Bw/ftx89dVXpl27dqZ79+727fcKL+fPnzdpaWkmLS3NfPfdd6Zdu3amY8eOxhhjfvjhBxMaGmqGDh1qDhw4YJKTk82AAQPMI488YjIzM40xxsyZM8f4+vqa1atXm+TkZDNs2DDj7e39QOHFy8vLTJw40Rw+fNh88803xhhj5s+fb/7xj3+YEydOmM8//9w88sgj5ne/+529Xc7569Kli9m1a5fZs2ePCQ8PNwMGDDDGGJOdnW18fX3NhAkTzLFjx0xycrJZvny5+fbbb40xjuHlypUrpm/fvuYXv/iF/dxkZmaaH374wfj7+5unnnrKHDx40Hz++eemQYMG9jfxnOeJl5eXeeaZZ8zXX39tDh48aFJTU025cuXMzp077fvt37/f2Gw2c/z48TzPS1xcnKlZs6Y5ePBgvufuk08+MT4+Pmb58uXm+PHj5tNPPzVBQUFm2rRpDue3Xr165r333jNHjx41Y8aMMV5eXubChQvGGGNGjRplIiIizK5du8zJkyfN5s2bzfr1640xjuHl5s2bZs2aNUaSOXLkiElLSzOXL1+2P2Y54eXgwYNGkjl27Ji9hq+//treLucc5Tw/Ll++bCIjI83w4cPt5/rmzZu5nrcHDhwwXl5eZv78+SYlJcVs27bNtGjRwgwZMsQYY8yuXbtM+fLlzXvvvWdOnTpl9u7da9544408z1tmZqY5cuSIkWTWrFljf3yL+trNy4OElw4dOpjx48fnux133P1/x/vvv28kmcqVKzssFSpUMH379jXGmDxD+N3LqFGj7H1WrFjRREZGOhx39OjRpl27doWrteh3E3gwP/7PqF27dmbo0KHGmNzhZcCAAaZr164ObSdOnGgaNWpkvx0YGGh69+7tsM+yZcty/ac/cuRI4+np6fDJvlu3bmbkyJH51rlz504jyd7mXuHlx8aMGWMCAwPN+fPnjTF3gtEjjzziMO8gMzPTeHh4mE2bNhljjKlTp46ZPXu2fXt2drapV6/eA4WXiIiIe7Z7//33TfXq1e238zp/f/rTn0zt2rWNMXfmZUgySUlJefb34/BiTN5vPkuXLjVVq1Z1+LS/ceNGU65cOXPu3Dl7u9q1a9vDXY7u3bs7hK2xY8cWOLJy9epV06NHDyPJBAYGmn79+pk///nP5saNG/Z9OnbsaGbNmuXQ7q9//aupU6eO/bYk8/vf/96hX5vNZv7+978bY4yJjo7O91P+j8OLMfm/8d49Z6VZs2ZmxowZ9tuxsbGmTZs29tt3n9u85rzcfaxnnnnGjBgxwmGfL7/80pQrV85cv37drFmzxvj4+Nz33JVLly45jLgYU/TXbl4GDx5sypcvn+uNtFKlSgWGl7/97W/Gzc3NfP311/d1Px5md//fsXLlSlO+fHlz+PBhe7DMWdLS0owxxmRlZZlvvvmmwCXntWyMMfXr1zfDhg1zOG58fLzx9/cvVK3MeYFLmDNnjlasWKHk5ORc27755ht16NDBYV2HDh109OhR3bp1y76udevWudp6enoqODjYfrt27doKCgqSl5eXw7rz58/bb//73/9Wr169FBgYKG9vb0VFRUmSTp8+Xaj7tHTpUv35z3/Whx9+qJo1a0qS9uzZo2PHjsnb21teXl7y8vJStWrVdOPGDR0/flzp6elKS0tTZGSkvZ8KFSrked8KI6/2X3zxhbp27aq6devK29tbgwYN0oULF/TDDz/Y97n7/NWpU8d+rqpVq6YhQ4aoW7duio6Ots+9KYxvvvlGzZs3V+XKle3rOnTooNu3b+vIkSP2dU2bNpWbm5tD2+HDhysxMVE3btxQdna2EhISNHTo0HyPVblyZW3cuFHHjh3T73//e3l5eWn8+PFq27atrl27JunO4zNjxgz7Y+Pl5aXhw4crLS3Nvo8kNWvWzKFfb29v+3n53e9+p5UrVyoiIkL/8z//o+3btxfqnORl4MCBSkhIkCQZY5SYmKiBAwc+UJ979uzR8uXLHe5rt27ddPv2bZ08eVJdu3ZVYGCgfvKTn+iZZ55RQkKCwzm4Hw/y2s1L586dtW/fPoflnXfeyXf/pKQkDRkyRG+//bYaN25cqNohtWjRQrdu3dL58+cVEhLisPj5+UmSKlasqIYNGxa41K5d295nhw4dHF7bkpSSkqLAwMBC1UZ4gUvo1KmTunXrppdeeinXNmNMrkmGdz4kOPrxG2COihUrOty22Wx5rrt9+7akO5cNPv744/Ly8tK7776rXbt2ad26dZIKN5EwKSlJo0eP1l/+8hc1b97cvv727dtq1apVrv+AU1JSNGDAgPvuv7DuPjfffvutevTooSZNmmjNmjXas2eP/vSnP0mSsrOz7fvlda5+fO6XLVumr776Su3bt9eqVasUFhamHTt23HddeT22Pz5WfvVLUnR0tNzd3bVu3Tp99NFHyszMVJ8+fe55zODgYP32t7/VO++8o7179yo5OVmrVq2SdOfxmT59usNjc/DgQR09elSVKlWy91HQc6h79+769ttvNXbsWJ09e1aPPfaYJkyYcO+TUYABAwYoJSVFe/fu1fbt25Wamqr+/fs/UJ+3b9/WyJEjHe7r/v37dfToUQUHB8vb21t79+5VYmKi6tSpo1deeUXNmzcv1KXWD/LazUvlypVzvYnWrVs3z323bNmi6Ohovf766xo0aNB91/ywuXr1qv3xl6STJ09q3759On36tMLCwjRw4EANGjRIa9eu1cmTJ7Vr1y7NmTNHH3/8cZGO9+KLL2rHjh2aNWuWjh07pvfee09Lly7VqFGjCtVPwVPegVI0e/ZsRUREKCwszGF9o0aN9M9//tNh3fbt2xUWFqby5csXaw2HDx/Wf//7X82ePVsBAQGSpN27dxeqj2PHjqlPnz566aWX9NRTTzlsa9mypVatWqVatWrJx8cnz/Z16tTRjh071KlTJ0nSzZs3tWfPHrVs2bII9yhvu3fv1s2bNzVv3jyVK3fnM8z7779fpL5atGihFi1aKDY2VpGRkXrvvffUrl27XPu5ubk5fNqW7jy2K1as0A8//GB/A9u2bZvKlSuX63lwtwoVKmjw4MFatmyZ3N3d1b9/f3l6ehaq9qCgIHl6etpHm1q2bKkjR44oJCSkUP3crWbNmhoyZIiGDBmijh07auLEiZo7d26u/XJGk+4+L3erV6+eOnXqpISEBF2/fl1dunRx+DSbV7/36rNly5Y6dOhQgfe1QoUK6tKli7p06aKpU6eqSpUq+sc//pHreZ2f0nzt/lhSUpKeeOIJzZkzRyNGjCix45QFu3fvVufOne23x40bJ0kaPHiwli9frmXLlum1117T+PHjdebMGVWvXl2RkZHq0aNHkY7Xpk0brVu3TrGxsZoxY4YaNGigBQsWFHokkfACl9G0aVMNHDhQCxcudFg/fvx4tWnTRq+++qr69eunr776SosWLVJ8fHyx11C/fn25ublp4cKFeu655/T111/r1Vdfve/2169fV3R0tCIiIjRixAidO3fOvs3Pz08DBw7UH//4R/Xq1UszZsxQvXr1dPr0aa1du1YTJ05UvXr1FBMTo9mzZys0NFTh4eF6/fXXi/0PiwUHB+vmzZtauHChoqOjtW3bNi1ZsqRQfZw8eVJLly7Vk08+KX9/fx05ckQpKSn5fsoNCgrSpk2bdOTIEVWvXl2+vr4aOHCgpk6dqsGDB2vatGn6/vvvNXr0aD3zzDMFvjnn+O1vf6vw8HBJd0JPQaZNm6Zr166pR48eCgwM1OXLl/Xmm28qOztbXbt2lSS98soreuKJJxQQEKCnn35a5cqV04EDB3Tw4EG99tpr93VeXnnlFbVq1UqNGzdWZmamNmzYYK/xboGBgbLZbNqwYYN69OghDw8Ph680f2zgwIGaNm2asrKyNH/+/AJrCAoK0r/+9S+dOnXK/tXk3SZNmqR27dpp1KhRGj58uCpXrqxvvvlGmzdv1sKFC7VhwwadOHFCnTp1UtWqVfXxxx/r9u3beuSRR+7rPEil+9rNkZSUpJ49eyomJkZ9+vSxvwbd3NzyPA8Pu6ioqDxHw3JUrFhR06dP1/Tp04vtmE888YSeeOKJB+qDr43gUl599dVcL6SWLVvq/fff18qVK9WkSRO98sormjFjhoYMGVLsx69Zs6aWL1+uv/3tb2rUqJFmz56d5yfm/PznP//R4cOH9Y9//EP+/v6qU6eOfZHuzCHZunWr6tevr6eeekrh4eEaOnSorl+/bh+JGT9+vAYNGqQhQ4YoMjJS3t7e+uUvf1ms9zMiIkKvv/665syZoyZNmighIUFxcXGF6sPT01OHDx9Wnz59FBYWphEjRuiFF17QyJEj89x/+PDheuSRR9S6dWvVrFlT27Ztk6enpzZt2qSLFy+qTZs2+tWvfqXHHnvsvv/aZ2hoqNq3b69HHnlEjz76aIH7/uxnP9OJEyc0aNAgNWzYUN27d9e5c+f06aef2t+Qu3Xrpg0bNmjz5s1q06aN2rVrp9dff71Q38e7ubkpNjZWzZo1U6dOnVS+fHmtXLkyz33r1q2r6dOna/Lkyapdu7ZeeOGFfPt9+umndeHCBV27du2ef013woQJKl++vBo1aqSaNWvmOV+rWbNm2rJli44ePaqOHTuqRYsWmjJliv25WqVKFa1du1Y///nPFR4eriVLligxMbFQc0dK87WbY/ny5bp27Zri4uIcXn/3O1oEa7CZgiIXALgwY4waNmyokSNH2oe7AZR9fG0EwJLOnz+vv/71rzpz5oyeffZZZ5cDoBQRXgBYUu3atVWjRg0tXbpUVatWdXY5AEoR4QWAJfGNN/DwYsIuAACwFMILAACwFMILAACwFMILAACwFMILAACwFMILAACwFMILAACwFMILAACwlP8HRbX2kJgBni4AAAAASUVORK5CYII=",
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",
"text/plain": [
""
]
@@ -352,7 +469,7 @@
},
{
"cell_type": "code",
- "execution_count": 25,
+ "execution_count": 12,
"id": "1d06630d",
"metadata": {},
"outputs": [],
@@ -360,7 +477,7 @@
"spc = \"H2\"\n",
"dps = rms.getadjointsensitivities(sim,\n",
" spc,\n",
- " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
" abstol=1e-6, # You may tighter the tolerance with a cost of more computational time\n",
" reltol=1e-3, # You may tighter the tolerance with a cost of more computational time\n",
" )"
@@ -384,13 +501,13 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 13,
"id": "39e9ed12",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -423,13 +540,13 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 14,
"id": "bf2ece42",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -457,16 +574,16 @@
},
{
"cell_type": "code",
- "execution_count": 32,
+ "execution_count": 15,
"id": "6c20dd69",
"metadata": {},
"outputs": [],
"source": [
"sol_tfs = rms.threadedsensitivities(react,\n",
- " odesolver=de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
- " senssolver=de.CVODE_BDF(), # You may use a different ODE solver for the sensitivity equations. This is the one also used in Cantera\n",
- " odekwargs={\"abstol\": 1e-18, \"reltol\": 1e-6,}, # You may tighter the tolerance with a cost of more computational time\n",
- " senskwargs={\"abstol\": 1e-6, \"reltol\": 1e-3,} # You may tighter the tolerance with a cost of more computational time\n",
+ " odesolver=rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ " senssolver=rms.CVODE_BDF(), # You may use a different ODE solver for the sensitivity equations. This is the one also used in Cantera\n",
+ " odekwargs={rms.Symbol(\"abstol\"): 1e-18, rms.Symbol(\"reltol\"): 1e-6,}, # You may tighter the tolerance with a cost of more computational time\n",
+ " senskwargs={rms.Symbol(\"abstol\"): 1e-6, rms.Symbol(\"reltol\"): 1e-3,} # You may tighter the tolerance with a cost of more computational time\n",
" );"
]
},
@@ -484,7 +601,7 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 16,
"id": "ab102117",
"metadata": {},
"outputs": [],
@@ -510,7 +627,7 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 17,
"id": "11fb2b9a",
"metadata": {},
"outputs": [
@@ -520,13 +637,13 @@
"Text(0.5, 0, 'dLn([H2])/d(Ln(k_i))')"
]
},
- "execution_count": 35,
+ "execution_count": 17,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -560,7 +677,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 18,
"id": "dafa1642",
"metadata": {},
"outputs": [
@@ -570,13 +687,13 @@
"Text(0.5, 0, 'dLn([H2])/d(G_i) mol/kcal')"
]
},
- "execution_count": 41,
+ "execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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1CC4AAMAaBBcAAGANggsAALAGX0CHRhU3f4OvS/AavngPALyPFRcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANRoluEydOlXjxo2r1J6VlSWHw6HTp08rKytLycnJateunUJCQtS7d29lZmY2RnkAAMASfrPisnXrVvXs2VOrVq3S7t27lZKSoilTpuidd97xdWkAAMBPBPi6gEv+8Ic/eDyeOXOm3n33Xa1Zs0ZjxozxUVUAAMCf+E1wqUpRUZESExOvuL+0tFSlpaXux8XFxY1RFgAA8JFGCy7r169XaGioR9vFixev2P+tt97Sp59+qmXLll2xz6JFi/TEE080WI0AAMC/Ndo9LkOHDlVubq7H9tJLL1XZNysrS1OnTtWLL76obt26XfGYqampKioqcm/5+fneKh8AAPiBRltxCQkJUUJCgkfbkSNHKvXbvHmzxowZo6efflpTpkyp9phOp1NOp7NB6wQAAP7Lbz5VJP200jJ69GilpaXpvvvu83U5AADAz/jNzbmXQsusWbN0xx13qLCwUJIUFBSkiIgIH1cHAAD8gd+suLz88ss6d+6cFi1apHbt2rm33/zmN74uDQAA+AmHMcb4uoiGUlxcLJfLpaKiIoWHh/u6HFQhbv4GX5fgNYfTRvu6BACwUm1ev/1mxQUAAOBqCC4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWCPA1wXg/xZ+QRkAUB+suAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAa/DNuUADiZu/wdclNCi+5RiAP2LFBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYILAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1vBpchgwZIofDIYfDodzc3EYbCwAAmiavr7hMmzZNBQUF6t69uw4fPnzFIDJkyBA99NBD7serV6/W9u3bvV0eAACwSIC3T9CyZUtFRkbWelxERISKi4u9UBEAALAV97gAAABrEFwAAIA1vP5WUVVuvvlmNWvmmZlKSkrUu3fvWh2ntLRUpaWl7se8tQQAQNPmk+DyxhtvKDEx0aNt0qRJtT7OokWL9MQTTzRUWQAAwM/5JLhER0crISHBoy04OLjWx0lNTdXs2bPdj4uLixUdHV3v+gAAgH/ySXBpKE6nU06n09dlAACARsLNuQAAwBoEFwAAYI1GfasoLi5Oxpgq92VlZTVmKQAAwEJeX3HJyMhQaGio9uzZU6txv/rVr9StWzcvVQUAAGzk1RWXzMxMlZSUSJJiYmJqNfall16q81gAANA0eTW4tG/f3idjAQBA08TNuQAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgjUb9dWigKTucNtrXJQBAk8eKCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYILAACwBt+cCzSQuPkbrtqHb9cFgPphxQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoEFwAAYA2CCwAAsAbBBQAAWIPgAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGrUKLkOGDJHD4ZDD4VBubm6tTpSVleUeO27cuFqNBQAAkOqw4jJt2jQVFBSoe/fu7rZXXnlFAwYMUEhIiMLCwjRo0CCtX7/eY9zNN9+sgoICjR8/vtIx9+7dq/Hjx+vaa6+V0+lUp06dtGDBAp07d64OlwQAAJqqWgeXli1bKjIyUgEBAZKkuXPnavr06Ro/frw+//xzbd++XQMHDlRycrKWLFniHhcUFKTIyEgFBwd7HG/btm268cYbVVZWpg0bNigvL09PPvmkXnnlFQ0fPlxlZWX1vEQAANBUBNRn8LZt27R48WI999xzmjFjhrt94cKFOn/+vGbPnq3k5GRFR0dXOd4Yo3vvvVeJiYlavXq1mjX7KUfFxsaqc+fO6tOnj5555hk98sgj9SkTAAA0EfW6OXflypUKDQ3V9OnTK+2bM2eOysvLtWrVqiuOz83N1b59+zR79mx3aLmkV69euvXWW7Vy5corji8tLVVxcbHHBgAAmq56BZe8vDzFx8crKCio0r6oqCi5XC7l5eVVO16SEhMTq9yfmJhY7fhFixbJ5XK5tyut7AAAgKbBqx+HNsbI4XB4bXxqaqqKiorcW35+fp3PBQAA/F+9gkvnzp319ddfV3kD7dGjR1VcXKxOnTpVO16S9u3bV+X+AwcOVDve6XQqPDzcYwMAAE1XvYLLxIkTdfbsWS1btqzSvqeeekqBgYG64447rji+d+/e6tKli5555hlVVFR47Pv888/1/vvv684776xPiQAAoAmp16eKkpKSNGvWLM2bN09lZWUaN26cysvL9dprr+nZZ59Venp6tfedOBwOvfTSSxoxYoTuuOMOpaamKjIyUp988onmzJmjpKQkPfTQQ/UpEQAANCH1vsclPT1dGRkZev3119WjRw/169dPmzdv1tq1az0+In0lt9xyi7Zt26bmzZvrtttuU0JCglJTU3XPPfdo06ZNcjqd9S0RAAA0EfVacbkkJSVFKSkpdR7fo0cPvfXWWw1RCgAAaMJqveKSkZGh0NBQ7dmzp1bjsrOzFRoaqszMzNqeEgAAQFItV1wyMzNVUlIiSYqJianVifr37+/+YcbQ0NBajQUAAJBqGVzat29f5xMFBwcrISGhzuMBAAC8+gV0AAAADYngAgAArEFwAQAA1iC4AAAAaxBcAACANQguAADAGgQXAABgDYILAACwBsEFAABYg+ACAACs0SC/Dg1AOpw22tclAECTx4oLAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDUILgAAwBoBvi6gIRljJEnFxcU+rgQAANTUpdftS6/j1WlSweXMmTOSpOjoaB9XAgAAauvMmTNyuVzV9nGYmsQbS1RUVOjo0aMKCwuTw+HwdTl+o7i4WNHR0crPz1d4eLivy2mSmGPvYn69i/n1Pua4esYYnTlzRlFRUWrWrPq7WJrUikuzZs3UoUMHX5fht8LDw/kXxsuYY+9ifr2L+fU+5vjKrrbScgk35wIAAGsQXAAAgDUILv8HOJ1OPfbYY3I6nb4upclijr2L+fUu5tf7mOOG06RuzgUAAE0bKy4AAMAaBBcAAGANggsAALAGwcUCp06d0uTJk+VyueRyuTR58mSdPn262jHGGD3++OOKiopScHCwhgwZor1793r0KS0t1YwZM9SmTRuFhIRo7NixOnLkSK3O/fnnn+vOO+9UdHS0goODlZiYqGeffbahLt0rMjIy1LFjR7Vo0UL9+vVTdnZ2tf03b96sfv36qUWLFrr++uu1dOnSSn1WrVqlrl27yul0qmvXrlqzZk2tz1uT58wW/jjH5eXleuSRR9SjRw+FhIQoKipKU6ZM0dGjR+t/wY3MH+f3ctOnT5fD4VB6enqtr8/X/Hl+9+/fr7Fjx8rlciksLEw33XSTvvvuu7pfrI0M/N6oUaNM9+7dzdatW83WrVtN9+7dze23317tmLS0NBMWFmZWrVpl9uzZYyZMmGDatWtniouL3X3uv/9+0759e7Np0yaza9cuM3ToUNOrVy9z4cKFGp97+fLlZsaMGSYrK8t8/fXX5tVXXzXBwcHm+eefb/iJaACvv/66CQwMNC+++KLZt2+fmTVrlgkJCTHffvttlf2/+eYb07JlSzNr1iyzb98+8+KLL5rAwEDz1ltvufts3brVNG/e3Dz55JNm//795sknnzQBAQFm27ZttTpvTZ4zG/jrHJ8+fdrceuut5o033jAHDhwwOTk55sYbbzT9+vXz7oQ0MH+d359bs2aN6dWrl4mKijLPPPNMg8+BN/nz/H711VcmIiLCzJs3z+zatct8/fXXZv369eYf//iH9ybEDxFc/Ny+ffuMJI8/8JycHCPJHDhwoMoxFRUVJjIy0qSlpbnbzp8/b1wul1m6dKkx5qf/iAcGBprXX3/d3ef77783zZo1Mxs3bqzzuY0x5oEHHjBDhw6t2wV72YABA8z999/v0dalSxczf/78Kvv//ve/N126dPFomz59urnpppvcj8ePH29GjRrl0WfkyJFm4sSJNT5vTZ4zW/jrHFdl+/btRtIVX5T8kb/P75EjR0z79u3NF198YWJjY60LLv48vxMmTDB333137S6oCeKtIj+Xk5Mjl8ulG2+80d120003yeVyaevWrVWOOXTokAoLCzVixAh3m9Pp1ODBg91jdu7cqfLyco8+UVFR6t69u7tPXc4tSUVFRYqIiKjbBXtRWVmZdu7c6XHNkjRixIgrXk9OTk6l/iNHjtSOHTtUXl5ebZ9Lx6zJeWvynNnAn+e4KkVFRXI4HGrVqlWNrs/X/H1+KyoqNHnyZM2bN0/dunWr20X6kD/Pb0VFhTZs2KDOnTtr5MiRatu2rW688UatXbu2ztdrK4KLnyssLFTbtm0rtbdt21aFhYVXHCNJ1113nUf7dddd595XWFiooKAgXXPNNdX2qe25c3Jy9Oabb2r69OlXubLG98MPP+jixYvVzsvlCgsLq+x/4cIF/fDDD9X2uXTMmpy3Js+ZDfx5ji93/vx5zZ8/X3fddZc1vx3j7/P77//+7woICNDMmTPrdoE+5s/ze+zYMZ09e1ZpaWkaNWqU3nvvPf3617/Wb37zG23evLnuF22hJvUjizZ5/PHH9cQTT1Tb59NPP5WkKn/p2hhz1V/Avnx/TcZc3qc25967d6+Sk5P1xz/+UcOHD6/2PL5U23mpqv/l7TU5ZkP1sYE/z7H00426EydOVEVFhTIyMqq5Ev/kj/O7c+dOPfvss9q1a5eVf7M/54/zW1FRIUlKTk7Www8/LEnq3bu3tm7dqqVLl2rw4MFXva6mguDiIw8++KAmTpxYbZ+4uDjt3r1b//jHPyrtO378eKV0fklkZKSkn1J+u3bt3O3Hjh1zj4mMjFRZWZlOnTrlsepy7Ngx3Xzzze4+NT33vn37NGzYME2bNk3/8i//Uu11+UqbNm3UvHnzSv/n9PN5uVxkZGSV/QMCAtS6detq+1w6Zk3OW5PnzAb+PMeXlJeXa/z48Tp06JA+/PBDa1ZbJP+e3+zsbB07dkwxMTHu/RcvXtScOXOUnp6uw4cP1/6CG5k/z2+bNm0UEBCgrl27evRJTEzUli1banmlduOtIh9p06aNunTpUu3WokULJSUlqaioSNu3b3eP/eSTT1RUVOQOGJfr2LGjIiMjtWnTJndbWVmZNm/e7B7Tr18/BQYGevQpKCjQF1984e5T03Pv3btXQ4cO1T333KOFCxc2zAR5QVBQkPr16+dxzZK0adOmK85lUlJSpf7vvfee+vfvr8DAwGr7XDpmTc5bk+fMBv48x9L/Dy0HDx7U+++/735hsYU/z+/kyZO1e/du5ebmureoqCjNmzdP7777bt0vuhH58/wGBQXpF7/4hb788kuPPnl5eYqNja3llVquUW8FRp2MGjXK9OzZ0+Tk5JicnBzTo0ePSh+HvuGGG8zq1avdj9PS0ozL5TKrV682e/bsMXfeeWeVH4fu0KGDef/9982uXbvMsGHDqvw4dHXn/uKLL8y1115rJk2aZAoKCtzbsWPHvDgjdXfpI4fLly83+/btMw899JAJCQkxhw8fNsYYM3/+fDN58mR3/0sfdXz44YfNvn37zPLlyyt91PF///d/TfPmzU1aWprZv3+/SUtLu+JHHa90XmNq9pzZwF/nuLy83IwdO9Z06NDB5Obmevy9lpaWNtLs1J+/zm9VbPxUkT/P7+rVq01gYKD585//bA4ePGief/5507x5c5Odnd0IM+M/CC4WOHHihJk0aZIJCwszYWFhZtKkSebUqVMefSSZFStWuB9XVFSYxx57zERGRhqn02kGDRpk9uzZ4zGmpKTEPPjggyYiIsIEBweb22+/3Xz33Xe1Ovdjjz1mJFXaYmNjG3gWGs5//dd/mdjYWBMUFGT69u1rNm/e7N53zz33mMGDB3v0z8rKMn369DFBQUEmLi7OvPDCC5WO+be//c3ccMMNJjAw0HTp0sWsWrWqVuc1pmbPmS38cY4PHTpU5d+qJPPRRx812LU3Bn+c36rYGFyM8e/5Xb58uUlISDAtWrQwvXr1MmvXrq3/BVuGX4cGAADW4B4XAABgDYILAACwBsEFAABYg+ACAACsQXABAADWILgAAABrEFwAAIA1CC4AAMAaBBegkQwZMkQPPfRQgx938uTJevLJJ92P4+Li5HA45HA4dPr06QY/nyT38Vu1auVumzt3rmbOnFmn402dOlXjxo3zaDtx4oTatm3b4D/O9/jjj6t3797ux/WpuyHExcUpPT39ivtffvllj3n2BofDobVr13r1HEBDIbgAPtIQQWb37t3asGGDZsyY4dH+pz/9SQUFBXK5XJKkrKysKwaZn79wnjx5UjNmzNANN9ygli1bKiYmRjNnzlRRUZHHmIKCgkovtr///e+1YsUKHTp0qNI5vv32WzmdThUXF9f42hYtWqQxY8YoLi7Oo33VqlUaNmyYrrnmGrVs2VI33HCDUlJS9Nlnn9XouHPnztUHH3xQo7p9qWPHjtq4caOvywD8DsEFsNiSJUv029/+VmFhYR7tYWFhioyMlMPhqNXxjh49qqNHj+qpp57Snj179PLLL2vjxo269957PfpFRka6Q9Elbdu21YgRI7R06dJKx3377bc1ZMgQhYeH16iOkpISLV++XP/8z//s0f7II49owoQJ6t27t9atW6e9e/fqz3/+s+Lj4/WHP/yhRscODQ31+FXo6ur2ld27d+vEiRMaOnSor0sB/A7BBfCCH3/8UVOmTFFoaKjatWunxYsX12r84cOH5XA4tHr1ag0dOlQtW7ZUr169lJOT4+5TUVGhv/3tbxo7dmyD1d29e3etWrVKY8aMUXx8vIYNG6aFCxfqnXfe0YULF646fuzYsVq5cmWl9rfffttd58WLFzV79my1atVKrVu31u9//3td/pNp//M//6OAgAAlJSW527Zt26b/+I//0NNPP62nn35aAwcOVMeOHTV48GA9+uij+vvf/16ja7z8raLq6v65uLg4/du//Zv7eY2NjdXbb7+t48ePKzk5WaGhoerRo4d27NjhMW7VqlXq1q2bnE6n4uLiavS38Pbbb2vkyJFyOp2V9p04cUIDBgzQ2LFjdf78eUnS3r17NXr0aIWHhyssLEwDBw7U119/LUn69NNPNXz4cLVp00Yul0uDBw/Wrl27rloD4K8ILoAXzJs3Tx999JHWrFmj9957T1lZWdq5c2etj/Poo49q7ty5ys3NVefOnXXnnXe6A8Tu3bt1+vRp9e/fv6HL91BUVKTw8HAFBARcte+AAQOUn5+vb7/91t12+vRpZWdnu4PL4sWL9Ze//EXLly/Xli1bdPLkSa1Zs8bjOB9//HGl61q5cqVCQ0P1wAMPVHnu2q4uXa3uqjzzzDO65ZZb9Nlnn2n06NGaPHmypkyZorvvvlu7du1SQkKCpkyZ4g5iO3fu1Pjx4zVx4kTt2bNHjz/+uBYsWKCXX3652vOsW7dOycnJldqPHDmigQMHqkuXLlq9erVatGih77//XoMGDVKLFi304YcfaufOnUpJSXH/nZw5c0b33HOPsrOztW3bNnXq1Em33Xabzpw5U7fJAnzNtz9ODTQ9Z86cMUFBQeb11193t504ccIEBwebWbNmudsGDx7s8fjnDh06ZCSZl156yd22d+9eI8ns37/fGGPMmjVrTPPmzU1FRYXH2NjYWPPMM894tH300UdGkgkJCam0ORyOSv0v+eGHH0xMTIx59NFHK+1bsWKFcblcHm1FRUVGksnKynK3ZWZmmr59+7oft2vXzqSlpbkfl5eXmw4dOpjk5GR3W3JysklJSfE49qhRo0zPnj092hYvXuxxLadPn67yOn7uscceM7169bpq3ZeLjY01d999t/txQUGBkWQWLFjgbsvJyTGSTEFBgTHGmLvuussMHz7c4zjz5s0zXbt29Tjuz+f/yJEjJjAw0Jw4ccIY8//n+csvvzQxMTFmxowZHs95amqq6dixoykrK7vqtRtjzIULF0xYWJh555133G2SzJo1a2o0HvA1VlyABvb111+rrKzM422OiIgI3XDDDbU+Vs+ePd3/3K5dO0nSsWPHJP10H4jT6azVSkN2drZyc3M9tqioqCr7FhcXa/To0eratasee+yxGh0/ODhYknTu3Dl328/fJioqKlJBQYHH3AQEBFRaXSkpKVGLFi0qHf/ya01JSVFubq6WLVumH3/8sdJbTjVVVd1V+fnzcd1110mSevToUant0nO0f/9+3XLLLR7HuOWWW3Tw4EFdvHixynOsW7dOt9xyiyIiItxtJSUl+uUvf6lx48bpueee85iH3NxcDRw4UIGBgVUe79ixY7r//vvVuXNnuVwuuVwunT17Vt9991211wr4q6uv/QKolbq+eFbl5y9Gl16sKioqJElt2rTRuXPnVFZWpqCgoBodr2PHjpU+WlvVW0BnzpzRqFGjFBoaqjVr1lzxRfFyJ0+elCRde+21kqTy8nJt3LhRqampNRp/SZs2bXTq1CmPtk6dOmnLli0qLy9319OqVSu1atVKR44cqdXxr1b3lVT1fFT3HBljKoWtq/19VPU2kdPp1K233qoNGzZo3rx56tChg3vfpdB1JVOnTtXx48eVnp6u2NhYOZ1OJSUlqaysrNpxgL9ixQVoYAkJCQoMDNS2bdvcbadOnVJeXl6DnufSDab79u1r0OMWFxdrxIgRCgoK0rp166pc+biSL774QoGBgerWrZsk6aOPPlKrVq3ctbpcLrVr185jbi5cuFDp/p8+ffpUuq4777xTZ8+eVUZGRh2vrOZ1N5SuXbtqy5YtHm1bt25V586d1bx580r9z549q48++qjSDdfNmjXTq6++qn79+mnYsGE6evSoe1/Pnj2VnZ2t8vLyKmvIzs7WzJkzddttt7lvEv7hhx8a4OoA3yC4AA0sNDRU9957r+bNm6cPPvhAX3zxhaZOnapmzSr/63b8+PFKb90UFhbW6DzXXnut+vbtW+mFsT7OnDmjESNG6Mcff9Ty5ctVXFyswsJCFRYWXvGtjZ/Lzs7WwIED3asA69atq/QiPGvWLKWlpWnNmjU6cOCAHnjggUrfLzNy5Ejt3bvXY9UlKSlJc+bM0Zw5czR79mxt2bJF3377rbZt26bly5fL4XBUOcc1cXndDWXOnDn64IMP9K//+q/Ky8vTK6+8oiVLlmju3LlV9t+4caM6deqk66+/vtK+5s2bKzMzU7169dKwYcPcfycPPvigiouLNXHiRO3YsUMHDx7Uq6++qi+//FLST0H61Vdf1f79+/XJJ59o0qRJDX6dQGMiuABe8J//+Z8aNGiQxo4dq1tvvVW//OUv1a9fv0r9/vrXv6pPnz4eW22+T+S+++5TZmZmg9W9c+dOffLJJ9qzZ48SEhLUrl0795afn3/V8StXrtS0adPcj6t622POnDmaMmWKpk6dqqSkJIWFhenXv/61R58ePXqof//+evPNNz3an3rqKf31r3/VZ599pttvv12dOnXSb3/7W1VUVCgnJ6fG3xNztbobSt++ffXmm2/q9ddfV/fu3fXHP/5Rf/rTnzR16tQq+7/99ttVfprokoCAAK1cuVLdunXTsGHDdOzYMbVu3Voffvihzp49q8GDB6tfv3568cUX3W9h/eUvf9GpU6fUp08fTZ48WTNnzlTbtm0b/FqBRuPbe4MB1EdJSYmJiYkxW7dudbdV9akib7j8U0Xr1683iYmJpry83BhjzM6dO43L5arxp10ut2HDBpOYmGguXrzYEOVe0eV1+8qFCxdMRESE+eSTT3xaB+DvWHEBLNaiRQv993//d6V7Fh555BGFhoZW+qr+hhIaGqr777/fo+3HH3/UihUr3Df7XrhwQc8//3yNb+y93G233abp06fr+++/r3e91bm8bl85ceKEHn74Yf3iF7/waR2Av3MY04AfgQDgc99++637Rs3rr7++zvd9VOerr76S9NN9Fx07dmzw49dHt27drvhFcsuWLdOkSZMauSIADYngAqBJ+Xlwu9x1111X6XedANiF4AIAAKzBPS4AAMAaBBcAAGANggsAALAGwQUAAFiD4AIAAKxBcAEAANYguAAAAGsQXAAAgDX+H+Z1HnI5ghGAAAAAAElFTkSuQmCC",
+ "image/png": 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",
"text/plain": [
""
]
@@ -615,7 +732,7 @@
},
{
"cell_type": "code",
- "execution_count": 43,
+ "execution_count": 19,
"id": "f4fad1d3",
"metadata": {},
"outputs": [],
@@ -637,17 +754,15 @@
},
{
"cell_type": "code",
- "execution_count": 47,
+ "execution_count": 20,
"id": "c6debf45",
"metadata": {},
"outputs": [],
"source": [
- "sol_fs = de.solve(react_fs.ode,\n",
- " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ "sol_fs = rms.solve(react_fs.ode,\n",
+ " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
" abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n",
" reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n",
- " sensabstol=1e-6, # You may tighter the tolerance with a cost of more computational time\n",
- " sensreltol=1e-3, # You may tighter the tolerance with a cost of more computational time\n",
" )"
]
},
@@ -665,7 +780,7 @@
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 21,
"id": "fd00afab",
"metadata": {},
"outputs": [],
@@ -691,7 +806,7 @@
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 22,
"id": "827e0a9f",
"metadata": {},
"outputs": [
@@ -701,13 +816,13 @@
"Text(0.5, 0, 'dLn([H2])/d(Ln(k_i))')"
]
},
- "execution_count": 50,
+ "execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -741,7 +856,7 @@
},
{
"cell_type": "code",
- "execution_count": 51,
+ "execution_count": 23,
"id": "e658e2c6",
"metadata": {},
"outputs": [
@@ -751,13 +866,13 @@
"Text(0.5, 0, 'dLn([H2])/d(G_i) mol/kcal')"
]
},
- "execution_count": 51,
+ "execution_count": 23,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -772,6 +887,14 @@
"tol = 1e-5\n",
"rms.plotmaxthermoforwardsensitivity(sim_tfs, spc, N=N, tol=tol)"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4121e729-1187-4413-be3d-4c190353fe79",
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
@@ -790,7 +913,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.16"
+ "version": "3.9.23"
}
},
"nbformat": 4,
diff --git a/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb b/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb
index 8ca7eb00292..e23f1496e8d 100644
--- a/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb
+++ b/examples/rmg/superminimal/simulation_flux_rop_superminimal_RMS.ipynb
@@ -15,10 +15,125 @@
"execution_count": 1,
"id": "82bfbe9d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n",
+ "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n",
+ "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n",
+ "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n",
+ "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n",
+ "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-3470-cf4fd6a40002 is missing from the cache.\n",
+ "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n",
+ "└ @ Base loading.jl:2018\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n",
+ "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n",
+ "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n",
+ "[ Info: Waiting for another process (pid: 19143) to finish precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]. Pidfile: /Users/mjohns9/.julia/compiled/v1.10/SciMLSensitivity/bIrP1_Hoq3Z.ji.pidfile\n",
+ "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n",
+ "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n",
+ "┌ Warning: MKL_jll is not available/installed.\n",
+ "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n"
+ ]
+ }
+ ],
"source": [
- "from pyrms import rms\n",
- "from diffeqpy import de\n",
+ "from juliacall import Main as rms\n",
+ "rms.seval(\"using PythonCall\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n",
+ "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
@@ -35,7 +150,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "f9caf172",
"metadata": {},
"outputs": [],
@@ -68,7 +183,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 3,
"id": "76557080",
"metadata": {},
"outputs": [
@@ -76,13 +191,12 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "RDKit WARNING: [16:23:31] WARNING: not removing hydrogen atom without neighbors\n",
- "[16:23:31] WARNING: not removing hydrogen atom without neighbors\n"
+ "[22:41:10] WARNING: not removing hydrogen atom without neighbors\n"
]
}
],
"source": [
- "mechanism_path = \"/rmg/RMG-Py/examples/rmg/superminimal/rms/chem13.rms\" # You may change the path to actual mechanism file path\n",
+ "mechanism_path = \"rms/chem13.rms\" # You may change the path to actual mechanism file path\n",
"\n",
"phase_dict = rms.readinput(mechanism_path)\n",
"spcs = phase_dict[\"phase\"][\"Species\"]\n",
@@ -164,7 +278,7 @@
"metadata": {},
"outputs": [],
"source": [
- "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)"
+ "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))"
]
},
{
@@ -208,8 +322,8 @@
"metadata": {},
"outputs": [],
"source": [
- "sol = de.solve(react.ode,\n",
- " de.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
+ "sol = rms.solve(react.ode,\n",
+ " rms.CVODE_BDF(), # You may use a different ODE solver. This is the one also used in Cantera\n",
" abstol=1e-16, # You may tighter the tolerance with a cost of more computational time\n",
" reltol=1e-8, # You may tighter the tolerance with a cost of more computational time\n",
" )"
@@ -278,7 +392,7 @@
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -313,13 +427,34 @@
"outputs": [
{
"data": {
- "image/png": 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",
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",
"text/plain": [
- ""
+ "598×683 Array{RGBA{N0f8},2} with eltype ColorTypes.RGBA{FixedPointNumbers.N0f8}:\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " ⋮ ⋱ \n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) … RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,1.0) RGBA{N0f8}(1.0,1.0,1.0,0.667)\n",
+ " RGBA{N0f8}(1.0,1.0,1.0,0.867) RGBA{N0f8}(1.0,1.0,1.0,0.58)"
]
},
+ "execution_count": 11,
"metadata": {},
- "output_type": "display_data"
+ "output_type": "execute_result"
}
],
"source": [
@@ -349,7 +484,7 @@
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -381,13 +516,11 @@
"cell_type": "code",
"execution_count": 13,
"id": "ce68cc03",
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
""
]
@@ -436,7 +569,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.16"
+ "version": "3.9.23"
}
},
"nbformat": 4,
diff --git a/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb b/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb
index 555e49c14ce..2e54f3d4c41 100644
--- a/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb
+++ b/examples/rmg/superminimal/tolerance_superminimal_RMS.ipynb
@@ -14,10 +14,124 @@
"execution_count": 1,
"id": "82bfbe9d",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Detected IPython. Loading juliacall extension. See https://juliapy.github.io/PythonCall.jl/stable/compat/#IPython\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "[ Info: Precompiling ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f]\n",
+ "WARNING: Method definition getGibbs(P, N) where {N<:Number, P<:ReactionMechanismSimulator.AbstractThermo} in module ReactionMechanismSimulator at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Calculators/Thermo.jl:6 overwritten on the same line (check for duplicate calls to `include`).\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ReactionMechanismSimulator [c2d78dd2-25c4-5b79-bebc-be6c69dd440f].\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getpairs :: Tuple{T} where T<:ReactionMechanismSimulator.AbstractReaction` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.getsimilarity :: Union{Tuple{T2}, Tuple{T}, Tuple{T, T2}} where {T<:ReactionMechanismSimulator.AbstractSpecies, T2<:ReactionMechanismSimulator.AbstractSpecies}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for getreactionindices at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Phase.jl:320 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for Inlet at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Interface.jl:243 declares type variable B but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTPDomain#328 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:42 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantVDomain#339 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:120 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantPDomain#348 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:188 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTPDomain#357 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:257 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedVDomain#366 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:337 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedPDomain#375 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:414 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTVDomain#384 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:500 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ParametrizedTConstantVDomain#395 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:580 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTAPhiDomain#404 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:660 declares type variable E but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X3 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable E1 but does not use it.\n",
+ "WARNING: method definition for #FragmentBasedConstantTrhoDomain#413 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:747 declares type variable X1 but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #ConstantTLiqFilmDomain#422 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:848 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1563 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1635 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1722 declares type variable J but does not use it.\n",
+ "WARNING: method definition for calcthermo at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1801 declares type variable J but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#477 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1839 declares type variable W but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable Y but does not use it.\n",
+ "WARNING: method definition for #calcdomainderivatives!#478 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:1863 declares type variable W but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3095 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3204 declares type variable Q3 but does not use it.\n",
+ "WARNING: method definition for jacobianpnsderiv! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Domain.jl:3290 declares type variable Q3 but does not use it.\n",
+ "[ Info: Precompiling Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7].\n",
+ "[ Info: Precompiling DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf]\n",
+ "WARNING: Method definition isapprox(IntervalSets.AbstractInterval{T} where T, IntervalSets.AbstractInterval{T} where T) in module IntervalSets at /Users/mjohns9/.julia/packages/IntervalSets/kyCuf/src/IntervalSets.jl:296 overwritten in module DomainSets at /Users/mjohns9/.julia/packages/DomainSets/aafhp/src/domains/interval.jl:52.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing DomainSets [5b8099bc-c8ec-5219-889f-1d9e522a28bf].\n",
+ "[ Info: Precompiling ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78]\n",
+ "┌ Warning: Module Symbolics with build ID ffffffff-ffff-ffff-aada-48ce8e1e7ff1 is missing from the cache.\n",
+ "│ This may mean Symbolics [0c5d862f-8b57-4792-8d23-62f2024744c7] does not support precompilation but is imported by a module that does.\n",
+ "└ @ Base loading.jl:2018\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing ModelingToolkit [961ee093-0014-501f-94e3-6117800e7a78].\n",
+ "WARNING: method definition for #Reactor#612 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:267 declares type variable F but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:465 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable W2 but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:509 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributions! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:556 declares type variable T but does not use it.\n",
+ "WARNING: method definition for addreactionratecontributionsforwardreverse! at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:601 declares type variable T but does not use it.\n",
+ "WARNING: method definition for jacobianyforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:789 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for jacobianpforwarddiff at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Reactor.jl:841 declares type variable Q but does not use it.\n",
+ "[ Info: Precompiling SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1]\n",
+ "WARNING: Method definition (::ChainRulesCore.ProjectTo{var\"#s434\"<:(ChainRulesCore.Tangent{var\"#s433\", T} where T where var\"#s433\"<:Tuple), D<:(NamedTuple{names, T} where T<:Tuple where names)})(StaticArraysCore.SArray{S, T, N, L} where L where N where T where S<:Tuple) in module StaticArraysChainRulesCoreExt at /Users/mjohns9/.julia/packages/StaticArrays/MSJcA/ext/StaticArraysChainRulesCoreExt.jl:10 overwritten in module SciMLSensitivity at /Users/mjohns9/.julia/packages/SciMLSensitivity/VumeD/src/staticarrays.jl:2.\n",
+ "ERROR: Method overwriting is not permitted during Module precompilation. Use `__precompile__(false)` to opt-out of precompilation.\n",
+ "[ Info: Skipping precompilation since __precompile__(false). Importing SciMLSensitivity [1ed8b502-d754-442c-8d5d-10ac956f44a1].\n",
+ "┌ Warning: MKL_jll is not available/installed.\n",
+ "└ @ MKL ~/.julia/packages/MKL/kCNzy/src/MKL.jl:39\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:554 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:560 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:566 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable V but does not use it.\n",
+ "WARNING: method definition for sensg at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:572 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:579 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:583 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:587 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:591 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:646 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:650 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:654 declares type variable Q but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable V but does not use it.\n",
+ "WARNING: method definition for g at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Simulation.jl:658 declares type variable Q but does not use it.\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "┌ Warning: Replacing docs for `ReactionMechanismSimulator.plotrops :: Union{Tuple{X}, Tuple{Y}, Tuple{Y, X}} where {Y<:ReactionMechanismSimulator.Simulation, X<:AbstractString}` in module `ReactionMechanismSimulator`\n",
+ "└ @ Base.Docs docs/Docs.jl:243\n",
+ "WARNING: method definition for #plotradicalrops#942 at /Users/mjohns9/code/ReactionMechanismSimulator.jl/src/Plotting.jl:371 declares type variable X but does not use it.\n"
+ ]
+ }
+ ],
"source": [
- "from pyrms import rms\n",
- "from diffeqpy import de\n",
+ "from juliacall import Main as rms\n",
+ "rms.seval(\"using PythonCall\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator\")\n",
+ "rms.seval(\"using ReactionMechanismSimulator.Sundials\")\n",
+ "from rmgpy.rmg.reactionmechanismsimulator_reactors import to_julia\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
@@ -70,8 +184,7 @@
"name": "stderr",
"output_type": "stream",
"text": [
- "RDKit WARNING: [20:27:05] WARNING: not removing hydrogen atom without neighbors\n",
- "[20:27:05] WARNING: not removing hydrogen atom without neighbors\n"
+ "[22:40:45] WARNING: not removing hydrogen atom without neighbors\n"
]
}
],
@@ -118,7 +231,7 @@
"metadata": {},
"outputs": [],
"source": [
- "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=initial_conds)"
+ "domain, y0, p = rms.ConstantVDomain(phase=ig, initialconds=to_julia(initial_conds))"
]
},
{
@@ -149,7 +262,7 @@
},
{
"cell_type": "code",
- "execution_count": 26,
+ "execution_count": 7,
"id": "051a8d03",
"metadata": {},
"outputs": [],
@@ -158,7 +271,7 @@
"IDTs = []\n",
"ts_search = np.linspace(0.44, 0.46, 10000)\n",
"for abstol in abstols:\n",
- " sol = de.solve(react.ode, de.CVODE_BDF(), abstol=abstol, reltol=1e-6)\n",
+ " sol = rms.solve(react.ode, rms.CVODE_BDF(), abstol=abstol, reltol=1e-6)\n",
" IDT = ts_search[np.argmax(np.diff([sol(t)[domain.thermovariabledict[\"T\"]-1] for t in ts_search]))]\n",
" IDTs.append(IDT)"
]
@@ -173,7 +286,7 @@
},
{
"cell_type": "code",
- "execution_count": 28,
+ "execution_count": 8,
"id": "83a27c36",
"metadata": {},
"outputs": [
@@ -183,13 +296,13 @@
"Text(0, 0.5, 'IDT (s)')"
]
},
- "execution_count": 28,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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\n",
+ "image/png": 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AYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYJedDasGGDkpOTZbValZ6ervLy8qD2O3DggCwWi1JTU/3aS0pKZDKZOi2tra09qnv//fd3OkZWVpbfNrfffnunbWbPnt3zkwAAAMJSSIPW9u3blZ+fr1WrVqmyslK33nqrJk+erLq6um73a2pq0vz58zVhwoQu19tsNrndbr/FarX2uO6kSZP8jrF79+5OtRYuXOi3zaZNmy7hTAAAgHAU0qD1i1/8QgsWLNADDzyg4cOHa+3atUpMTNTGjRu73W/x4sWaM2eOsrOzu1xvMpkUFxfnt1xK3aioKL9jDBo0qFOta6+91m8bu93ew7MAAADCVciC1vnz51VRUaHc3Fy/9tzcXB08eDDgflu2bFFtba0KCwsDbtPS0qKkpCQNHjxYU6ZMUWVl5SXV3bt3r2JiYjRkyBAtXLhQDQ0NnWqVlpbK4XBo5MiRWrZsmZqbm7sdd1tbmzwej98CAADCkyVUhc+cOaP29nbFxsb6tcfGxqq+vr7LfWpqarRixQqVl5fLYum668OGDVNJSYlGjRolj8ejdevWKScnR0eOHFFKSkrQdSdPnqwf/OAHSkpK0vHjx/X4449r/PjxqqioUFRUlCRp7ty5Sk5OVlxcnI4ePaqVK1fqyJEjKisrCzjuNWvWqKioKKhzBAAA+reQBa2LTCaT32uv19upTZLa29s1Z84cFRUVaciQIQGPl5WV5ffQek5OjtLS0vTMM8+ouLg46LqzZs3y/bfT6VRGRoaSkpK0a9cuzZw5U9KF57O+vE1KSooyMjJ0+PBhpaWlddm/lStXqqCgwPfa4/EoMTEx4HgAAED/FbKg5XA4ZDabO129amho6HS1SZKam5v13nvvqbKyUkuWLJEkdXR0yOv1ymKx6LXXXtP48eM77RcREaHMzEzV1NRcUt2L4uPjlZSU5DtOV9LS0jRgwADV1NQEDFpRUVG+K2IAACC8hewZrcjISKWnp3e6zVZWVqZx48Z12t5ms6mqqkoul8u35OXlaejQoXK5XBo7dmyXdbxer1wul+Lj4y+p7kVnz57VJ5984jtOVz744AN98cUX3W4DAACuHiG9dVhQUKB58+YpIyND2dnZ2rx5s+rq6pSXlyfpwm22U6dOaevWrYqIiJDT6fTbPyYmRlar1a+9qKhIWVlZSklJkcfjUXFxsVwul9avXx903ZaWFj3xxBO69957FR8frxMnTuixxx6Tw+HQjBkzJEm1tbUqLS3VXXfdJYfDoerqai1dulSjR49WTk6O0acOAAD0AyENWrNmzdLZs2e1evVqud1uOZ1O7d69W0lJSZIkt9v9tXNqfVVjY6MWLVqk+vp62e12jR49Wvv27dOYMWOCrms2m1VVVaWtW7eqsbFR8fHxuuOOO7R9+3YNHDhQ0oUrY2+88YbWrVunlpYWJSYm6u6771ZhYaHMZnMvnSEAANCfmbxerzfUnbiaeTwe2e12NTU1yWazhbo7AAAgCMH+/g75V/AAAACEK4IWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEEtPdzhx4oTKy8t14sQJ/fWvf9UNN9yg0aNHKzs7W1ar1Yg+AgAA9EtBB60XXnhBxcXFOnTokGJiYvTNb35T11xzjT777DPV1tbKarVq7ty5evTRR5WUlGRknwEAAPqFoIJWWlqaIiIidP/99+u3v/2tbrzxRr/1bW1t+q//+i9t27ZNGRkZ2rBhg37wgx8Y0mEAAID+wuT1er1ft9GuXbt09913B3XAM2fO6Pjx48rMzLzszl0NPB6P7Ha7mpqaZLPZQt0dAAAQhGB/fwd1RSvYkCVJDodDDocj6O0BAADCVY8/dXj48GFVVVX5Xv/hD3/Q9OnT9dhjj+n8+fO92jkAAID+rMdBa/Hixfroo48kSf/7v/+r2bNn69prr9Xvfvc7PfLII73eQQAAgP6qx0Hro48+UmpqqiTpd7/7nW677Ta98MILKikp0UsvvdTb/QMAAOi3ehy0vF6vOjo6JEmvv/667rrrLklSYmKizpw507u9AwAA6Md6HLQyMjL0r//6r3ruuef09ttv+x6UP378uGJjY3u9gwAAAP1Vj4PW2rVrdfjwYS1ZskSrVq3Sd77zHUnS73//e40bN67XOwgAANBfBTWPVjBaW1tlNps1YMCA3jjcVYN5tAAA6H96dR6tYHz5ew69Xq9MJlNvHRoAAKBfCurW4fDhw/XCCy987TxZNTU1evDBB/XUU0/1SucAAAD6s6CuaK1fv16PPvqofvKTnyg3N1cZGRlKSEiQ1WrVuXPnVF1drf3796u6ulpLlizRP//zPxvdbwAAgCteUFe0xo8fr3fffVe7du1SXFycXnjhBS1ZskRz587VE088oZqaGs2fP18nT57Uk08+2aNnjTZs2KDk5GRZrValp6ervLw8qP0OHDggi8Xim9PropKSEplMpk5La2trj+ref//9nY6RlZXlt01bW5seeughORwOXXfddZo2bZpOnjwZ9NgBAEB469EzWuPGjevVTxZu375d+fn52rBhg3JycrRp0yZNnjxZ1dXVuvHGGwPu19TUpPnz52vChAn69NNPO6232Wz68MMP/dq+/AxZsHUnTZqkLVu2+F5HRkb6HTM/P187d+7Utm3bFB0draVLl2rKlCmqqKiQ2Wzu8fkAAADhpdc+dXgpxo4dq7S0NG3cuNHXNnz4cE2fPl1r1qwJuN/s2bOVkpIis9msHTt2yOVy+daVlJQoPz9fjY2Nl1X3/vvvV2Njo3bs2NHlMZqamnTDDTfoueee06xZsyRJp0+fVmJionbv3q2JEycGcQb41CEAAP1RsL+/ezyPVm85f/68KioqlJub69eem5urgwcPBtxvy5Ytqq2tVWFhYcBtWlpalJSUpMGDB2vKlCmqrKy8pLp79+5VTEyMhgwZooULF6qhocG3rqKiQl988YXfcRISEuR0Orvtf1tbmzwej98CAADCU8iC1pkzZ9Te3t5pNvnY2FjV19d3uU9NTY1WrFih0tJSWSxd3/UcNmyYSkpK9Oqrr+rFF1+U1WpVTk6OampqelR38uTJKi0t1Ztvvqmf//znevfddzV+/Hi1tbVJkurr6xUZGanrr78+6P5L0po1a2S3231LYmJiwG0BAED/1mvzaF2qr863FWgOrvb2ds2ZM0dFRUUaMmRIwONlZWX5PbSek5OjtLQ0PfPMMyouLg667sXbgZLkdDqVkZGhpKQk7dq1SzNnzgxY/+vmEFu5cqUKCgp8rz0eD2ELAIAwFfQVra1bt/qu5vQGh8Mhs9nc6epPQ0NDl9+Z2NzcrPfee09LliyRxWKRxWLR6tWrdeTIEVksFr355ptd1omIiFBmZqbvilZP614UHx+vpKQk33Hi4uJ0/vx5nTt3rkfHiYqKks1m81sAAEB4Cjpo/fjHP1ZTU1OvFY6MjFR6errKysr82svKyrr8ZKPNZlNVVZVcLpdvycvL09ChQ+VyuTR27Ngu63i9XrlcLsXHx19S3YvOnj2rTz75xHec9PR0DRgwwO84brdbR48e5TsfAQCApB7cOjTiw4kFBQWaN2+eMjIylJ2drc2bN6uurk55eXmSLtxmO3XqlLZu3aqIiAg5nU6//WNiYmS1Wv3ai4qKlJWVpZSUFHk8HhUXF8vlcmn9+vVB121padETTzyhe++9V/Hx8Tpx4oQee+wxORwOzZgxQ5Jkt9u1YMECLV26VNHR0Ro0aJCWLVumUaNG6c477+z1cwUAAPqfHj2j1dvfXzhr1iydPXtWq1evltvtltPp1O7du5WUlCTpwhWiurq6Hh2zsbFRixYtUn19vex2u0aPHq19+/ZpzJgxQdc1m82qqqrS1q1b1djYqPj4eN1xxx3avn27Bg4c6DvO008/LYvFovvuu09/+9vfNGHCBJWUlDCHFgAAkNSDebQiIiI0efJkRUVFdbvdyy+/3Csdu1owjxYAAP1PsL+/e3RFa+DAgbrmmmsuu3MAAABXgx4FreLiYsXExBjVFwAAgLAS9KcOe/v5LAAAgHAXdNAK4VciAgAA9EtBB6233npLgwYNMrIvAAAAYSXoZ7S+973vqaOjQ7/+9a/18ssv68SJEzKZTEpOTtb3v/99zZs3j9uLAAAAX9KjW4fTpk3TAw88oFOnTmnUqFEaOXKkPv74Y91///2+iTwBAABwQdBXtEpKSrRv3z698cYbuuOOO/zWvfnmm5o+fbq2bt2q+fPn93onAQAA+qOgr2i9+OKLeuyxxzqFLEkaP368VqxYodLS0l7tHAAAQH8WdNB6//33NWnSpIDrJ0+erCNHjvRKpwAAAMJB0EHrs88+U2xsbMD1sbGxOnfuXK90CgAAIBwEHbTa29tlsQR+pMtsNuvvf/97r3QKAAAgHAT9MLzX69X9998f8Eul29raeq1TAAAA4SDooPWjH/3oa7fhE4cAAAD/J+igtWXLFiP7AQAAEHaCfkYLAAAAPRP0Fa2ZM2cGtd3LL798yZ0BAAAIJ0EHLbvdbmQ/AAAAwg7PaAEAABiEZ7QAAAAMQtACAAAwCEELAADAIAQtAAAAgxC0AAAADELQAgAAMAhBCwAAwCAELQAAAIMQtAAAAAxC0AIAADAIQQsAAMAgBC0AAACDELQAAAAMQtACAAAwCEELAADAIAQtAAAAgxC0AAAADELQAgAAMAhBCwAAwCAELQAAAIMQtAAAAAxC0AIAADBIyIPWhg0blJycLKvVqvT0dJWXlwe134EDB2SxWJSamurXXlJSIpPJ1GlpbW295LqLFy+WyWTS2rVr/dpvv/32TnVmz54dVP8BAED4C2nQ2r59u/Lz87Vq1SpVVlbq1ltv1eTJk1VXV9ftfk1NTZo/f74mTJjQ5XqbzSa32+23WK3WS6q7Y8cOvfPOO0pISOiy1sKFC/3qbNq0qQdnAAAAhLOQBq1f/OIXWrBggR544AENHz5ca9euVWJiojZu3NjtfosXL9acOXOUnZ3d5XqTyaS4uDi/5VLqnjp1SkuWLFFpaakGDBjQZa1rr73Wr47dbu/BGQAAAOEsZEHr/PnzqqioUG5url97bm6uDh48GHC/LVu2qLa2VoWFhQG3aWlpUVJSkgYPHqwpU6aosrKyx3U7Ojo0b948LV++XCNHjgxYq7S0VA6HQyNHjtSyZcvU3NwccFtJamtrk8fj8VsAAEB4soSq8JkzZ9Te3q7Y2Fi/9tjYWNXX13e5T01NjVasWKHy8nJZLF13fdiwYSopKdGoUaPk8Xi0bt065eTk6MiRI0pJSQm67lNPPSWLxaKHH3444Bjmzp2r5ORkxcXF6ejRo1q5cqWOHDmisrKygPusWbNGRUVFAdcDAIDwEbKgdZHJZPJ77fV6O7VJUnt7u+bMmaOioiINGTIk4PGysrKUlZXle52Tk6O0tDQ988wzKi4uDqpuRUWF1q1bp8OHD3fZl4sWLlzo+2+n06mUlBRlZGTo8OHDSktL63KflStXqqCgwPfa4/EoMTExYA0AANB/hezWocPhkNls7nT1qqGhodPVJklqbm7We++9pyVLlshischisWj16tU6cuSILBaL3nzzzS7rREREKDMzUzU1NUHXLS8vV0NDg2688UZfrY8//lhLly7VTTfdFHBMaWlpGjBggK9WV6KiomSz2fwWAAAQnkIWtCIjI5Went7pNltZWZnGjRvXaXubzaaqqiq5XC7fkpeXp6FDh8rlcmns2LFd1vF6vXK5XIqPjw+67rx58/T+++/71UpISNDy5cv1pz/9KeCYPvjgA33xxRe+WgAA4OoW0luHBQUFmjdvnjIyMpSdna3Nmzerrq5OeXl5ki7cZjt16pS2bt2qiIgIOZ1Ov/1jYmJktVr92ouKipSVlaWUlBR5PB4VFxfL5XJp/fr1QdeNjo5WdHS0X60BAwYoLi5OQ4cOlSTV1taqtLRUd911lxwOh6qrq7V06VKNHj1aOTk5hpwvAADQv4Q0aM2aNUtnz57V6tWr5Xa75XQ6tXv3biUlJUmS3G73186p9VWNjY1atGiR6uvrZbfbNXr0aO3bt09jxowJum4wIiMj9cYbb2jdunVqaWlRYmKi7r77bhUWFspsNveozwAAIDyZvF6vN9SduJp5PB7Z7XY1NTXxvBYAAP1EsL+/Q/4VPAAAAOGKoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEFC+qXSAAAgvLV3eHXo+GdqaG5VzECrxiQPkjnCFOpu9RmCFgAAMMSeo24V7ayWu6nV1xZvt6pw6ghNcsaHsGd9h1uHAACg1+056taDzx/2C1mSVN/UqgefP6w9R90h6lnfImgBAIBe1d7hVdHOanm7WHexrWhntdo7utoivBC0AABArzp0/LNOV7K+zCvJ3dSqQ8c/67tOhQhBCwAA9KqG5sAh61K2688IWgAAoFfFDLT26nb9GUELAAD0qjHJgxRvtyrQJA4mXfj04ZjkQX3ZrZAgaAEAgF5ljjCpcOoISeoUti6+Lpw64qqYT4ugBQAAet0kZ7w2/jBNcXb/24Nxdqs2/jDtqplHiwlLAQCAISY54/WPI+KYGR4AAMAI5giTsr8dHepuhAy3DgEAAAxC0AIAADAIQQsAAMAgBC0AAACDELQAAAAMQtACAAAwCEELAADAIMyjBQDAVaC9w3tVTxwaKgQtAADC3J6jbhXtrJa7qdXXFm+3qnDqiKvmq3BChVuHAACEsT1H3Xrw+cN+IUuS6pta9eDzh7XnqDtEPbs6ELQAAAhT7R1eFe2slreLdRfbinZWq72jqy3QGwhaAACEqUPHP+t0JevLvJLcTa06dPyzvuvUVYagBQBAmGpoDhyyLmU79BxBCwCAMBUz0Nqr26HnCFoAAISpMcmDFG+3KtAkDiZd+PThmORBfdmtqwpBCwCAMGWOMKlw6ghJ6hS2Lr4unDqC+bQMRNACACCMTXLGa+MP0xRn9789GGe3auMP05hHy2AhD1obNmxQcnKyrFar0tPTVV5eHtR+Bw4ckMViUWpqql97SUmJTCZTp6W11f9Bv57UXbx4sUwmk9auXevX3tbWpoceekgOh0PXXXedpk2bppMnTwbVfwAA+sokZ7z2PzpeLy7M0rrZqXpxYZb2PzqekNUHQhq0tm/frvz8fK1atUqVlZW69dZbNXnyZNXV1XW7X1NTk+bPn68JEyZ0ud5ms8ntdvstVuv/Jfme1N2xY4feeecdJSQkdFqXn5+vV155Rdu2bdP+/fvV0tKiKVOmqL29vYdnAgAAY5kjTMr+drTuSf2msr8dze3CPhLSoPWLX/xCCxYs0AMPPKDhw4dr7dq1SkxM1MaNG7vdb/HixZozZ46ys7O7XG8ymRQXF+e3XErdU6dOacmSJSotLdWAAQP81jU1NelXv/qVfv7zn+vOO+/U6NGj9fzzz6uqqkqvv/76JZwNAAAQbkIWtM6fP6+Kigrl5ub6tefm5urgwYMB99uyZYtqa2tVWFgYcJuWlhYlJSVp8ODBmjJliiorK3tct6OjQ/PmzdPy5cs1cuTITjUqKir0xRdf+B0nISFBTqez2/63tbXJ4/H4LQAAIDyFLGidOXNG7e3tio2N9WuPjY1VfX19l/vU1NRoxYoVKi0tlcXS9fdhDxs2TCUlJXr11Vf14osvymq1KicnRzU1NT2q+9RTT8lisejhhx/usk59fb0iIyN1/fXXB91/SVqzZo3sdrtvSUxMDLgtAADo37pOK33IZPK/R+z1eju1SVJ7e7vmzJmjoqIiDRkyJODxsrKylJWV5Xudk5OjtLQ0PfPMMyouLg6qbkVFhdatW6fDhw932ZfuBOr/RStXrlRBQYHvtcfjIWwBABCmQnZFy+FwyGw2d7r609DQ0OlqkyQ1Nzfrvffe05IlS2SxWGSxWLR69WodOXJEFotFb775Zpd1IiIilJmZ6buiFUzd8vJyNTQ06MYbb/TV+vjjj7V06VLddNNNkqS4uDidP39e586dC6r/F0VFRclms/ktAAAgPIUsaEVGRio9PV1lZWV+7WVlZRo3blyn7W02m6qqquRyuXxLXl6ehg4dKpfLpbFjx3ZZx+v1yuVyKT4+Pui68+bN0/vvv+9XKyEhQcuXL9ef/vQnSVJ6eroGDBjgdxy3262jR4922X8AAHD1Cemtw4KCAs2bN08ZGRnKzs7W5s2bVVdXp7y8PEkXbrOdOnVKW7duVUREhJxOp9/+MTExslqtfu1FRUXKyspSSkqKPB6PiouL5XK5tH79+qDrRkdHKzo62q/WgAEDFBcXp6FDh0qS7Ha7FixYoKVLlyo6OlqDBg3SsmXLNGrUKN15552GnC8AANC/hDRozZo1S2fPntXq1avldrvldDq1e/duJSUlSbpwhejr5tT6qsbGRi1atEj19fWy2+0aPXq09u3bpzFjxgRdN1hPP/20LBaL7rvvPv3tb3/ThAkTVFJSIrPZ3KPjAACA8GTyer3eUHfiaubxeGS329XU1MTzWgAA9BPB/v4O+VfwAAAAhCuCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGAQghYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABgk5EFrw4YNSk5OltVqVXp6usrLy4Pa78CBA7JYLEpNTfVrLykpkclk6rS0trb2qO4TTzyhYcOG6brrrtP111+vO++8U++8847fNrfffnunOrNnz+75SQAAAGEppEFr+/btys/P16pVq1RZWalbb71VkydPVl1dXbf7NTU1af78+ZowYUKX6202m9xut99itVp7VHfIkCH6j//4D1VVVWn//v266aablJubq7/85S9+tRYuXOhXZ9OmTZdxRgAAQDgxeb1eb6iKjx07Vmlpadq4caOvbfjw4Zo+fbrWrFkTcL/Zs2crJSVFZrNZO3bskMvl8q0rKSlRfn6+Ghsbe7Wux+OR3W7X66+/7gt4t99+u1JTU7V27drgBtzNcZuammSz2S75OAAAoO8E+/s7ZFe0zp8/r4qKCuXm5vq15+bm6uDBgwH327Jli2pra1VYWBhwm5aWFiUlJWnw4MGaMmWKKisrL6vu+fPntXnzZtntdt18881+60pLS+VwODRy5EgtW7ZMzc3NAfslSW1tbfJ4PH4LAAAIT5ZQFT5z5oza29sVGxvr1x4bG6v6+vou96mpqdGKFStUXl4ui6Xrrg8bNkwlJSUaNWqUPB6P1q1bp5ycHB05ckQpKSk9qvvHP/5Rs2fP1l//+lfFx8errKxMDofDt37u3LlKTk5WXFycjh49qpUrV+rIkSMqKysLOO41a9aoqKio23MDAADCQ8iC1kUmk8nvtdfr7dQmSe3t7ZozZ46Kioo0ZMiQgMfLyspSVlaW73VOTo7S0tL0zDPPqLi4uEd177jjDrlcLp05c0a//OUvdd999+mdd95RTEyMpAvPZ13kdDqVkpKijIwMHT58WGlpaV32b+XKlSooKPC99ng8SkxMDDgeAADQf4Xs1qHD4ZDZbO50FamhoaHT1SZJam5u1nvvvaclS5bIYrHIYrFo9erVOnLkiCwWi958880u60RERCgzM1M1NTU9rnvdddfpO9/5jrKysvSrX/1KFotFv/rVrwKOKS0tTQMGDPDV6kpUVJRsNpvfAgAAwlPIglZkZKTS09M73WYrKyvTuHHjOm1vs9lUVVUll8vlW/Ly8jR06FC5XC6NHTu2yzper1cul0vx8fGXVPerx2prawu4/oMPPtAXX3zhqwUAAK5uIb11WFBQoHnz5ikjI0PZ2dnavHmz6urqlJeXJ+nCbbZTp05p69atioiIkNPp9Ns/JiZGVqvVr72oqEhZWVlKSUmRx+NRcXGxXC6X1q9fH3Tdzz//XP/2b/+madOmKT4+XmfPntWGDRt08uRJ/eAHP5Ak1dbWqrS0VHfddZccDoeqq6u1dOlSjR49Wjk5OUafOgAA0A+ENGjNmjVLZ8+e1erVq+V2u+V0OrV7924lJSVJktxu99fOqfVVjY2NWrRokerr62W32zV69Gjt27dPY8aMCbqu2WzWn//8Z/3mN7/RmTNnFB0drczMTJWXl2vkyJGSLlwZe+ONN7Ru3Tq1tLQoMTFRd999twoLC2U2m3vpDAEAgP4spPNogXm0AADoj674ebQAAADCHUELAADAIAQtAAAAg4R8wlIAAIDe1t7h1aHjn6mhuVUxA60akzxI5ojOE6IbjaAFAADCyp6jbhXtrJa7qdXXFm+3qnDqCE1y9u1cl9w6BAAAYWPPUbcefP6wX8iSpPqmVj34/GHtOeru0/4QtAAAQFho7/CqaGe1upq36mJb0c5qtXf03cxWBC0AABAWDh3/rNOVrC/zSnI3terQ8c/6rE8ELQAAEBYamgOHrEvZrjcQtAAAQFiIGWjt1e16A0ELAACEhTHJgxRvtyrQJA4mXfj04ZjkQX3WJ4IWAAAIC+YIkwqnjpCkTmHr4uvCqSP6dD4tghYAAAgbk5zx2vjDNMXZ/W8Pxtmt2vjDtD6fR4sJSwEAQFiZ5IzXP46IY2Z4AAAAI5gjTMr+dnSou8GtQwAAAKMQtAAAAAxC0AIAADAIQQsAAMAgBC0AAACDELQAAAAMQtACAAAwCEELAADAIAQtAAAAgzAzfIh5vV5JksfjCXFPAABAsC7+3r74ezwQglaINTc3S5ISExND3BMAANBTzc3NstvtAdebvF8XxWCojo4OnT59WgMHDpTJ1PdfdmkEj8ejxMREffLJJ7LZbKHujuEYb3hjvOGN8YY3I8fr9XrV3NyshIQERUQEfhKLK1ohFhERocGDB4e6G4aw2WxXxf/IFzHe8MZ4wxvjDW9Gjbe7K1kX8TA8AACAQQhaAAAABiFooddFRUWpsLBQUVFRoe5Kn2C84Y3xhjfGG96uhPHyMDwAAIBBuKIFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFvrcjBkzdP311+v73/9+p3U/+9nPNHLkSDmdTj3//PMh6F3vCzTeDz/8UKmpqb7lmmuu0Y4dO0LTyV7U3c/XYrH4xvvAAw+EoHe9L9B4m5ublZmZqdTUVI0aNUq//OUvQ9TD3tXdz7e7deEgHN+fuhOu71HdMeI9iukd0OfeeusttbS06De/+Y1+//vf+9qrqqr0ox/9SAcPHpQkTZgwQbt27dI3vvGNEPW0dwQa75e1tLTopptu0scff6zrrruuj3vYu7obr8Ph0JkzZ0LUM2MEGm97e7va2tp07bXX6q9//aucTqfeffddRUdHh7C3l6+7n28w/9b7q3B9fwpWOL1HdceI9yiuaKHP3XHHHRo4cGCn9mPHjmncuHGyWq2yWq1KTU3Vnj17QtDD3hVovF/26quvasKECWHxBhbMeMNJoPGazWZde+21kqTW1la1t7crHP6u7e7nG84/+3B9fwpWOL1H9TWCFvzs27dPU6dOVUJCgkwmU5eXiTds2KDk5GRZrValp6ervLy8V2o7nU699dZbamxsVGNjo958802dOnWqV44dSCjH+2W//e1vNWvWrF4/7leFerwej0fp6em65ZZb9Pbbb/facQMJ9XgbGxt18803a/DgwXrkkUfkcDh67dhdCfV4Q8nosYfi/enr9OXPu6/eo7rTF+M14j3K0itHQdj4/PPPdfPNN+vHP/6x7r333k7rt2/frvz8fG3YsEE5OTnatGmTJk+erOrqat14442SpPT0dLW1tXXa97XXXlNCQkLA2iNGjNDDDz+s8ePHy263KzMzUxaLsf9EQzneizwejw4cOKBt27Zd/oC+RqjHe+LECSUkJOjo0aO6++67VVVVJZvN1juD60Kox/uNb3xDR44c0aeffqqZM2fq+9//vmJjY3tncF0I9XhDyeixh+L96ev01c+7L9+jutMX4zXkPcoLBCDJ+8orr/i1jRkzxpuXl+fXNmzYMO+KFSt6dOy33nrLe++993a7zYIFC7x//OMfe3TcyxGq8W7dutU7d+7cHh2vN4T65ztp0iTvu+++26PjXo5QjzcvL8/729/+tkfHvRyhGm8w58JoRo79or5+f/o6Ro45VO9R3emLn3FvvUdx6xBBO3/+vCoqKpSbm+vXnpub63tA9HI1NDRIuvBpl0OHDmnixIm9ctxL0Rfjla6MS/KS8eM9d+6c7y/JkydPqrq6Wt/61rcu+7iXyujxfvrpp/J4PJIuXBHYt2+fhg4detnHvVR99e/5StRbY7+S3p++Tm/+vK+U96ju9MZ4jXqP4tYhgnbmzBm1t7d3uvURGxur+vr6oI8zceJEHT58WJ9//rkGDx6sV155RZmZmZKk6dOnq7GxUdddd522bNkS0kvzfTHepqYmHTp0SC+99FKv9v1SGD3eY8eOafHixYqIiJDJZNK6des0aNCg3h5G0Iwe78mTJ7VgwQJ5vV55vV4tWbJE3/3ud3t7GEHri3/P3a0Lpd4a+5X0/vR1emvMV9J7VHd6Y7xGvUdduf9KcMUymUx+r71eb6e27vzpT38KuO5K/MvayPHa7XZ9+umnl9w3Ixg13nHjxqmqquqy+mYEo8abnp4ul8t1OV0zhJH/nrtbdyW43LFfie9PX+dyx3wlvkd153LGa9R7FLcOETSHwyGz2dzpr4OGhgZDH/ANFcZ7AeMND1fbeL/sahz71TbmK3m8BC0ELTIyUunp6SorK/NrLysr07hx40LUK+Mw3gsYb3i42sb7ZVfj2K+2MV/J4+XWIfy0tLTof/7nf3yvjx8/LpfLpUGDBunGG29UQUGB5s2bp4yMDGVnZ2vz5s2qq6tTXl5eCHt96Rgv42W8/Xe8X3Y1jv1qG3O/He9lf24RYeWtt97ySuq0/OhHP/Jts379em9SUpI3MjLSm5aW5n377bdD1+HLxHgZL+Ptv+P9sqtx7FfbmPvrePmuQwAAAIPwjBYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgD0wIkTJ2QymeRyua6KugAuD0ELAPoQgQm4uhC0AAAADELQAoCv2LNnj2655RZ94xvfUHR0tKZMmaLa2lq/bf785z9r3LhxslqtGjlypPbu3etbd+7cOc2dO1c33HCDrrnmGqWkpGjLli2SpOTkZEnS6NGjZTKZdPvtt0uSOjo6tHr1ag0ePFhRUVFKTU3Vnj17+mS8AIxD0AKAr/j8889VUFCgd999V2+88YYiIiI0Y8YMdXR0+LZZvny5li5dqsrKSo0bN07Tpk3T2bNnJUmPP/64qqur9Z//+Z86duyYNm7cKIfDIUk6dOiQJOn111+X2+3Wyy+/LElat26dfv7zn+tnP/uZ3n//fU2cOFHTpk1TTU1NH48eQG8yeb1eb6g7AQBXsr/85S+KiYlRVVWV/uEf/kHJycl68skn9eijj0qS/v73vys5OVkPPfSQHnnkEU2bNk0Oh0O//vWvOx3rxIkTSk5OVmVlpVJTU33t3/zmN/WTn/xEjz32mK9tzJgxyszM1Pr16wPuB+DKxhUtAPiK2tpazZkzR9/61rdks9l8t/vq6up822RnZ/v+22KxKCMjQ8eOHZMkPfjgg9q2bZtSU1P1yCOP6ODBg93W83g8On36tHJycvzac3JyfMcE0D8RtADgK6ZOnaqzZ8/ql7/8pd555x298847kqTz5893u5/JZJIkTZ48WR9//LHy8/N1+vRpTZgwQcuWLfvauhf3v8jr9XZqA9C/ELQA4EvOnj2rY8eO6V/+5V80YcIEDR8+XOfOneu03X//93/7/vvvf/+7KioqNGzYMF/bDTfcoPvvv1/PP/+81q5dq82bN0uSIiMjJUnt7e2+bW02mxISErR//36/GgcPHtTw4cN7dXwA+pYl1B0AgCvJ9ddfr+joaG3evFnx8fGqq6vTihUrOm23fv16paSkaPjw4Xr66ad17tw5/dM//ZMk6f/9v/+n9PR0jRw5Um1tbfrjH//oC0wxMTG65pprtGfPHg0ePFhWq1V2u13Lly9XYWGhvv3tbys1NVVbtmyRy+VSaWlpn44fQO/iihYAfElERIS2bdumiooKOZ1O/fSnP9W///u/d9ruySef1FNPPaWbb75Z5eXl+sMf/uD7ZGFkZKRWrlyp7373u7rttttkNpu1bds2SRee5youLtamTZuUkJCge+65R5L08MMPa+nSpVq6dKlGjRqlPXv26NVXX1VKSkrfDR5Ar+NThwAAAAbhihYAAIBBCFoAAAAGIWgBAAAYhKAFAABgEIIWAACAQQhaAAAABiFoAQAAGISgBQAAYBCCFgAAgEEIWgAAAAYhaAEAABiEoAUAAGCQ/w/LtzC0FHzSNQAAAABJRU5ErkJggg==",
"text/plain": [
""
]
@@ -231,7 +344,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.16"
+ "version": "3.9.23"
}
},
"nbformat": 4,
diff --git a/examples/rmg/superminimal_auto/input.py b/examples/rmg/superminimal_auto/input.py
new file mode 100644
index 00000000000..d310eeb4bfc
--- /dev/null
+++ b/examples/rmg/superminimal_auto/input.py
@@ -0,0 +1,58 @@
+# Same chemistry as the ``superminimal`` example (H2/O2 at 1000 K), but with
+# every database field set to ``'auto'`` so RMG selects libraries, seed
+# mechanisms, transport data, and kinetics families automatically based on
+# the species and reactor conditions.
+database(
+ thermoLibraries = 'auto',
+ reactionLibraries = 'auto',
+ seedMechanisms = 'auto',
+ transportLibraries = 'auto',
+ kineticsFamilies = 'auto',
+ kineticsDepositories = ['training'],
+ kineticsEstimator = 'rate rules',
+)
+
+# List of species
+species(
+ label='H2',
+ reactive=True,
+ structure=SMILES("[H][H]"),
+)
+species(
+ label='O2',
+ reactive=True,
+ structure=SMILES("[O][O]"),
+)
+
+# Reaction systems
+simpleReactor(
+ temperature=(1000,'K'),
+ pressure=(1.0,'bar'),
+ initialMoleFractions={
+ 'H2':.67, 'O2':.33,
+ },
+ terminationConversion={
+ 'H2': 0.9,
+ },
+ terminationTime=(1e6,'s'),
+)
+
+simulator(
+ atol=1e-16,
+ rtol=1e-8,
+)
+
+model(
+ toleranceKeepInEdge=0.0,
+ toleranceMoveToCore=0.001,
+ toleranceInterruptSimulation=0.001,
+ maximumEdgeSpecies=100000,
+)
+
+options(
+ units='si',
+ generateOutputHTML=True,
+ generatePlots=False,
+ saveEdgeSpecies=True,
+ saveSimulationProfiles=True,
+)
diff --git a/examples/scripts/diffModels/Models/DFT_chem.inp b/examples/scripts/diffModels/Models/DFT_chem.inp
index c8fa2c3641d..86b66518528 100644
--- a/examples/scripts/diffModels/Models/DFT_chem.inp
+++ b/examples/scripts/diffModels/Models/DFT_chem.inp
@@ -57,7 +57,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar 1 G 200.000 6000.000 1000.00 1
diff --git a/examples/scripts/diffModels/Models/Primary_chem.inp b/examples/scripts/diffModels/Models/Primary_chem.inp
index 96fdd0677bd..33ff2aaa905 100644
--- a/examples/scripts/diffModels/Models/Primary_chem.inp
+++ b/examples/scripts/diffModels/Models/Primary_chem.inp
@@ -53,7 +53,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar 1 G 200.000 6000.000 1000.00 1
diff --git a/install_rms.sh b/install_rms.sh
old mode 100644
new mode 100755
index 9996cc694ed..c9cea5eb5f1
--- a/install_rms.sh
+++ b/install_rms.sh
@@ -2,6 +2,44 @@
#
# Convenience script to install ReactionMechanismSimulator into an rmg_env conda environment
#
+# Usage:
+# source install_rms.sh
+# Options:
+# RMS_INSTALLER environment variable can be set to "continuous", "standard", or "developer"
+# "continuous": non-interactive install for CI environments
+# "standard": interactive install with user confirmation (default)
+# "developer": install from local RMS source code (requires RMS_PATH to be set)
+# RMS_PATH environment variable (required if RMS_INSTALLER="developer")
+# Path to local ReactionMechanismSimulator.jl source code for developer mode
+# RMS_BRANCH environment variable (optional), for "standard" or "continuous" modes
+# Git branch of ReactionMechanismSimulator.jl to install (default: for_rmg)
+# Example:
+# RMS_INSTALLER=developer RMS_PATH=/path/to/ReactionMechanismSimulator.jl source install_rms.sh
+
+
+# Defaults to "standard" if not already set via RMS_INSTALLER env variable
+RMS_INSTALLER=${RMS_INSTALLER:-standard}
+
+# RMS branch for standard or continuous installs. Set to "for_rmg" by default.
+export RMS_BRANCH=${RMS_BRANCH:-for_rmg}
+
+# Get local RMS path if in developer mode
+if [ "$RMS_INSTALLER" = "developer" ]; then
+ echo "Using developer mode for RMS installation"
+ # Check if RMS_PATH is set
+ if [ -z "$RMS_PATH" ]; then
+ printf "Please enter full path to your local RMS source code: "
+ read -r RMS_PATH
+ fi
+ # Validate Project.toml exists
+ if [ ! -f "$RMS_PATH/Project.toml" ]; then
+ echo "ERROR: '$RMS_PATH' does not contain a Project.toml file."
+ echo "Please set RMS_PATH to a valid ReactionMechanismSimulator.jl directory."
+ return 1
+ fi
+ export RMS_PATH
+ echo "Using local RMS path: $RMS_PATH"
+fi
# Check if juliaup is installed
if ! command -v juliaup &> /dev/null; then
@@ -38,31 +76,128 @@ julia_path=$(which julia)
echo "Julia 1.10 binary path: $julia_path"
# Get current conda environment name
-current_env=$(conda info --envs | grep '\*' | awk '{print $1}')
-echo "Current conda environment: $current_env"
+current_env=$(conda info --envs | grep -v '^#' | awk '/\*/{print $1}')
+
+# Ask the user to confirm RMS is being installed in the correct conda environemnt.
+# Skip confirmation if this is run under continuous mode.
+if [ "$RMS_INSTALLER" = "continuous" ]; then
+ echo "Current conda environment: $current_env"
+else
+ echo " Please confirm that you want to install RMS into the current conda environment: '$current_env'"
+ echo " If this is not correct, abort and activate the correct environment before rerunning."
+ printf "Proceed with installation in '%s'? (y/N): " "$current_env"
+ read confirm
+ case "$confirm" in
+ [yY][eE][sS]|[yY])
+ echo "✅ Proceeding with installation in '$current_env'"
+ ;;
+ *)
+ echo "❌ Aborted. Please activate the correct conda environment and try again."
+ return 1
+ ;;
+ esac
+fi
# Set environment variables for the current environment, for future uses
# https://juliapy.github.io/PythonCall.jl/stable/pythoncall/#If-you-already-have-Python-and-required-Python-packages-installed
+# Find the actual conda executable (not the shell function)
+CONDA_EXE="${CONDA_EXE:-$(conda info --base)/bin/conda}"
conda env config vars set JULIA_CONDAPKG_BACKEND=Null
+conda env config vars set JULIA_CONDAPKG_EXE="$CONDA_EXE"
conda env config vars set JULIA_PYTHONCALL_EXE=$CONDA_PREFIX/bin/python
conda env config vars set PYTHON_JULIAPKG_EXE=$(which julia)
conda env config vars set PYTHON_JULIAPKG_PROJECT=$CONDA_PREFIX/julia_env
# Also export for current shell/session (needed for Docker/non-interactive use)
export JULIA_CONDAPKG_BACKEND=Null
+export JULIA_CONDAPKG_EXE="$CONDA_EXE"
export JULIA_PYTHONCALL_EXE="$CONDA_PREFIX/bin/python"
export PYTHON_JULIAPKG_EXE="$(which julia)"
export PYTHON_JULIAPKG_PROJECT="$CONDA_PREFIX/julia_env"
-conda install -y conda-forge::pyjuliacall
+conda install -y 'conda-forge::pyjuliacall<0.9.35'
echo "Environment variables referencing JULIA:"
env | grep JULIA
-# Use RMS_BRANCH environment variable if set, otherwise default to for_rmg
-RMS_BRANCH=${RMS_BRANCH:-for_rmg}
-echo "Installing ReactionMechanismSimulator from branch: $RMS_BRANCH"
+# Initialize the Julia environment from Python using juliacall
+python << EOF || return 1
+import sys
+try:
+ from juliacall import Main
+ Main.seval('println("Active Julia environment: ", Base.active_project())')
+ Main.seval('println("Julia load path: ", Base.load_path())')
+ Main.seval('using Pkg')
+ Main.seval('Pkg.status()')
+except Exception as e:
+ print("❌ Error while initializing Julia environment:")
+ print(e)
+ sys.exit(1)
+EOF
+
+# Install RMS
+if [ "$RMS_INSTALLER" = "standard" ] || [ "$RMS_INSTALLER" = "continuous" ]; then
+ echo "Installing RMS from branch: $RMS_BRANCH"
+ julia << 'EOF' || echo "RMS standard install error - continuing anyway ¯\\_(ツ)_/¯"
+ using Pkg
+ Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"])
+ Pkg.add(Pkg.PackageSpec(name="ReactionMechanismSimulator", url="https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git", rev=ENV["RMS_BRANCH"]))
+ println(read(joinpath(dirname(pathof(ReactionMechanismSimulator)), "..", "Project.toml"), String))
+ Pkg.instantiate()
+ try
+ @info "Loading RMS"
+ using ReactionMechanismSimulator
+ @info "RMS loaded successfully!"
+ catch err
+ @error "Failed to load RMS" exception=err
+ Base.show_backtrace(stderr, catch_backtrace())
+ exit(1)
+ end
+EOF
+elif [ "$RMS_INSTALLER" = "developer" ]; then
+ echo "Installing RMS in developer mode from path: $RMS_PATH"
+ julia << 'EOF' || echo "RMS developer install error - continuing anyway ¯\\_(ツ)_/¯"
+ using Pkg
+ println(ENV["PYTHON_JULIAPKG_PROJECT"])
+ Pkg.activate(ENV["PYTHON_JULIAPKG_PROJECT"])
+ Pkg.develop(path=ENV["RMS_PATH"])
+ Pkg.instantiate()
+ try
+ @info "Loading RMS"
+ using ReactionMechanismSimulator
+ @info "RMS loaded successfully!"
+ catch err
+ @error "Failed to load RMS" exception=err
+ Base.show_backtrace(stderr, catch_backtrace())
+ exit(1)
+ end
+EOF
+else
+ echo "Unknown RMS_INSTALLER mode: $RMS_INSTALLER. Must be either 'continuous', 'standard' or 'developer'."
+ return 1
+fi
-julia -e "using Pkg; Pkg.add(Pkg.PackageSpec(name=\"ReactionMechanismSimulator\", url=\"https://github.com/ReactionMechanismGenerator/ReactionMechanismSimulator.jl.git\", rev=\"$RMS_BRANCH\")); using ReactionMechanismSimulator; Pkg.instantiate()" || echo "RMS install error - continuing anyway ¯\_(ツ)_/¯"
+julia_status=$?
+if [ $julia_status -ne 0 ]; then
+ echo "RMS installation failed!"
+ return $julia_status
+fi
echo "Checking if ReactionMechanismSimulator is installed in the current conda environment for Python usage..."
-python -c "from juliacall import Main; import sys; sys.exit(0 if Main.seval('Base.identify_package(\"ReactionMechanismSimulator\") !== nothing') and print('ReactionMechanismSimulator is installed in $current_env') is None else 1)"
+
+python << EOF
+import sys
+try:
+ from juliacall import Main
+ RMS_Pkg = Main.seval('Base.identify_package("ReactionMechanismSimulator")')
+ print("Package identify result: ", RMS_Pkg)
+ if RMS_Pkg is Main.nothing:
+ print("❌ ReactionMechanismSimulator is NOT installed correctly.")
+ sys.exit(1)
+ else:
+ print("✅ ReactionMechanismSimulator is succesfully installed!")
+ sys.exit(0)
+except Exception as e:
+ print("❌ Error while checking ReactionMechanismSimulator installation:")
+ print(e)
+ sys.exit(1)
+EOF
diff --git a/ipython/auto_library_selection.ipynb b/ipython/auto_library_selection.ipynb
new file mode 100644
index 00000000000..0b8556c1f97
--- /dev/null
+++ b/ipython/auto_library_selection.ipynb
@@ -0,0 +1,526 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "uak48ywvas",
+ "metadata": {},
+ "source": [
+ "# Auto Library & Family Selection Preview\n",
+ "\n",
+ "Preview what RMG's `'auto'` mode would select for thermo libraries, kinetics libraries,\n",
+ "transport libraries, seed mechanisms, and kinetics families — given an RMG input file.\n",
+ "\n",
+ "Just set `input_file_path` below and run all cells."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "5vx9v43udjl",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:49.811977Z",
+ "iopub.status.busy": "2026-04-25T04:32:49.811860Z",
+ "iopub.status.idle": "2026-04-25T04:32:49.816013Z",
+ "shell.execute_reply": "2026-04-25T04:32:49.815710Z"
+ }
+ },
+ "outputs": [],
+ "source": [
+ "input_file_path = '../examples/rmg/superminimal_auto/input.py'"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "vyt4k7q9as",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:49.816811Z",
+ "iopub.status.busy": "2026-04-25T04:32:49.816708Z",
+ "iopub.status.idle": "2026-04-25T04:32:50.620762Z",
+ "shell.execute_reply": "2026-04-25T04:32:50.620468Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:Generate Output HTML option was turned on. Note that this will slow down model generation.\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:Edge species saving was turned on. This will slow down model generation for large simulations.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Input file: /home/alon/Code/RMG-Py/examples/rmg/superminimal_auto/input.py\n",
+ "Species: ['H2', 'O2']\n",
+ "Reactors: 1\n",
+ "Solvent: (none)\n",
+ "\n",
+ "Current database() settings (before auto-selection):\n",
+ " thermoLibraries: auto\n",
+ " reactionLibraries: auto\n",
+ " seedMechanisms: auto\n",
+ " transportLibraries: auto\n",
+ " kineticsFamilies: auto\n"
+ ]
+ }
+ ],
+ "source": [
+ "import os\n",
+ "\n",
+ "from rmgpy.rmg.main import RMG\n",
+ "from rmgpy.rmg.input import read_input_file\n",
+ "from rmgpy.data.auto_database import (\n",
+ " AUTO,\n",
+ " detect_chemistry,\n",
+ " determine_chemistry_sets,\n",
+ " determine_kinetics_families,\n",
+ " expand_chemistry_sets,\n",
+ " load_recommended_yml,\n",
+ " merge_with_user_libraries,\n",
+ " resolve_auto_kinetics_families,\n",
+ " _has_pah_libs_keyword,\n",
+ ")\n",
+ "\n",
+ "# Load the input file into an RMG object (without loading the database)\n",
+ "rmg = RMG()\n",
+ "read_input_file(os.path.expanduser(input_file_path), rmg)\n",
+ "\n",
+ "print(f'Input file: {os.path.abspath(input_file_path)}')\n",
+ "print(f'Species: {[spec.label or spec.molecule[0].to_smiles() for spec in rmg.initial_species]}')\n",
+ "print(f'Reactors: {len(rmg.reaction_systems)}')\n",
+ "print(f'Solvent: {rmg.solvent or \"(none)\"}')\n",
+ "print()\n",
+ "print('Current database() settings (before auto-selection):')\n",
+ "print(f' thermoLibraries: {rmg.thermo_libraries}')\n",
+ "print(f' reactionLibraries: {rmg.reaction_libraries}')\n",
+ "print(f' seedMechanisms: {rmg.seed_mechanisms}')\n",
+ "print(f' transportLibraries: {rmg.transport_libraries}')\n",
+ "print(f' kineticsFamilies: {rmg.kinetics_families}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "if94i2lxggr",
+ "metadata": {},
+ "source": [
+ "## Chemistry Detection\n",
+ "\n",
+ "Analyze the input species and reactor conditions to determine what chemistry is present."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "grunflwiug8",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:50.621758Z",
+ "iopub.status.busy": "2026-04-25T04:32:50.621629Z",
+ "iopub.status.idle": "2026-04-25T04:32:50.623782Z",
+ "shell.execute_reply": "2026-04-25T04:32:50.623588Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Elements: H/O\n",
+ "Max T: 1000 K\n",
+ "Nitrogen: False\n",
+ "Sulfur: False\n",
+ "Oxygen: True\n",
+ "Carbon: False\n",
+ "Halogens: False\n",
+ "Electrochem: False\n",
+ "Surface: False\n",
+ "Liquid: False\n",
+ ": False\n"
+ ]
+ }
+ ],
+ "source": [
+ "profile = detect_chemistry(rmg.initial_species, rmg.reaction_systems, rmg.solvent)\n",
+ "pah_libs_requested = _has_pah_libs_keyword(rmg)\n",
+ "\n",
+ "print(f'Elements: {\"/\".join(sorted(profile.elements_present))}')\n",
+ "print(f'Max T: {profile.max_temperature:.0f} K')\n",
+ "print(f'Nitrogen: {profile.has_nitrogen}')\n",
+ "print(f'Sulfur: {profile.has_sulfur}')\n",
+ "print(f'Oxygen: {profile.has_oxygen}')\n",
+ "print(f'Carbon: {profile.has_carbon}')\n",
+ "print(f'Halogens: {profile.has_halogens}')\n",
+ "print(f'Electrochem: {profile.has_electrochem}')\n",
+ "print(f'Surface: {profile.has_surface}')\n",
+ "print(f'Liquid: {profile.has_liquid}')\n",
+ "print(f': {pah_libs_requested}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "k9r657hlttp",
+ "metadata": {},
+ "source": [
+ "## Triggered Chemistry Sets & Kinetics Family Sets\n",
+ "\n",
+ "Which named sets from `recommended_libraries.yml` and `recommended.py` would be activated."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "fkjvg12kwkj",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:50.624558Z",
+ "iopub.status.busy": "2026-04-25T04:32:50.624482Z",
+ "iopub.status.idle": "2026-04-25T04:32:50.626227Z",
+ "shell.execute_reply": "2026-04-25T04:32:50.626049Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Chemistry sets (for thermo/kinetics/transport/seed libraries):\n",
+ " - primary\n",
+ " - oxidation\n",
+ "\n",
+ "Kinetics family sets:\n",
+ " - default\n"
+ ]
+ }
+ ],
+ "source": [
+ "chem_sets = determine_chemistry_sets(profile, pah_libs_requested)\n",
+ "family_sets = determine_kinetics_families(profile)\n",
+ "\n",
+ "print('Chemistry sets (for thermo/kinetics/transport/seed libraries):')\n",
+ "for s in chem_sets:\n",
+ " print(f' - {s.value}')\n",
+ "print()\n",
+ "print('Kinetics family sets:')\n",
+ "for s in family_sets:\n",
+ " print(f' - {s.value}')"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ldplsa4l6wa",
+ "metadata": {},
+ "source": [
+ "## What `'auto'` Would Select\n",
+ "\n",
+ "The libraries and families that RMG would use if all fields were set to `'auto'`.\n",
+ "This always shows the auto-selected result, regardless of what the input file currently specifies."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "87ac142mi0b",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:50.626965Z",
+ "iopub.status.busy": "2026-04-25T04:32:50.626895Z",
+ "iopub.status.idle": "2026-04-25T04:32:50.636227Z",
+ "shell.execute_reply": "2026-04-25T04:32:50.636038Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Thermo libraries (9):\n",
+ " primaryThermoLibrary\n",
+ " BurkeH2O2\n",
+ " Spiekermann_refining_elementary_reactions\n",
+ " thermo_DFT_CCSDTF12_BAC\n",
+ " DFT_QCI_thermo\n",
+ " CBS_QB3_1dHR\n",
+ " FFCM1(-)\n",
+ " FormicAcid\n",
+ " NOx2018\n",
+ "\n",
+ "Reaction libraries (4):\n",
+ " FormicAcid\n",
+ " FFCM1(-)\n",
+ " NOx2018\n",
+ " 2005_Senosiain_OH_C2H2\n",
+ "\n",
+ "Seed mechanisms (1):\n",
+ " primaryH2O2\n",
+ "\n",
+ "Transport libraries (4):\n",
+ " PrimaryTransportLibrary\n",
+ " OneDMinN2\n",
+ " NOx2018\n",
+ " GRI-Mech\n",
+ "\n",
+ "Kinetics families (51):\n",
+ " 1,2_shiftC\n",
+ " H_Abstraction\n",
+ " intra_NO2_ONO_conversion\n",
+ " intra_H_migration\n",
+ " 1,3_Insertion_CO2\n",
+ " Cyclic_Ether_Formation\n",
+ " Disproportionation\n",
+ " 1,2_NH3_elimination\n",
+ " 1,3_Insertion_RSR\n",
+ " 1+2_Cycloaddition\n",
+ " intra_substitutionCS_cyclization\n",
+ " Cyclopentadiene_scission\n",
+ " HO2_Elimination_from_PeroxyRadical\n",
+ " 1,3_NH3_elimination\n",
+ " intra_substitutionS_isomerization\n",
+ " Birad_R_Recombination\n",
+ " Diels_alder_addition\n",
+ " R_Recombination\n",
+ " 1,4_Cyclic_birad_scission\n",
+ " Intra_Disproportionation\n",
+ " R_Addition_COm\n",
+ " Intra_R_Add_Exo_scission\n",
+ " intra_substitutionS_cyclization\n",
+ " Retroene\n",
+ " R_Addition_MultipleBond\n",
+ " intra_OH_migration\n",
+ " CO_Disproportionation\n",
+ " 2+2_cycloaddition\n",
+ " Ketoenol\n",
+ " intra_substitutionCS_isomerization\n",
+ " 1,2-Birad_to_alkene\n",
+ " Intra_2+2_cycloaddition_Cd\n",
+ " Concerted_Intra_Diels_alder_monocyclic_1,2_shiftH\n",
+ " Birad_recombination\n",
+ " 1,3_Insertion_ROR\n",
+ " Cyclic_Thioether_Formation\n",
+ " Intra_R_Add_Endocyclic\n",
+ " 1,2_Insertion_CO\n",
+ " Singlet_Carbene_Intra_Disproportionation\n",
+ " 1,4_Linear_birad_scission\n",
+ " Intra_5_membered_conjugated_C=C_C=C_addition\n",
+ " 1,2_shiftS\n",
+ " Intra_R_Add_Exocyclic\n",
+ " Intra_Retro_Diels_alder_bicyclic\n",
+ " 1,3_sigmatropic_rearrangement\n",
+ " Intra_ene_reaction\n",
+ " Diels_alder_addition_Aromatic\n",
+ " Intra_Diels_alder_monocyclic\n",
+ " 6_membered_central_C-C_shift\n",
+ " Singlet_Val6_to_triplet\n",
+ " 1,2_Insertion_carbene\n"
+ ]
+ }
+ ],
+ "source": [
+ "recommended_data = load_recommended_yml(rmg.database_directory)\n",
+ "auto_thermo, auto_kinetics, auto_transport, auto_seeds = expand_chemistry_sets(\n",
+ " recommended_data, chem_sets\n",
+ ")\n",
+ "auto_families = resolve_auto_kinetics_families(family_sets, rmg.database_directory)\n",
+ "\n",
+ "def print_list(label, items):\n",
+ " items = items or []\n",
+ " print(f'\\n{label} ({len(items)}):')\n",
+ " for item in items:\n",
+ " print(f' {item}')\n",
+ "\n",
+ "print_list('Thermo libraries', auto_thermo)\n",
+ "print_list('Reaction libraries', auto_kinetics)\n",
+ "print_list('Seed mechanisms', auto_seeds)\n",
+ "print_list('Transport libraries', auto_transport)\n",
+ "print_list('Kinetics families', auto_families)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "w3ocgmc0ils",
+ "metadata": {},
+ "source": [
+ "## Actual Resolution of the Current Input File\n",
+ "\n",
+ "Processes the input file's `database()` settings as RMG would at startup.\n",
+ "If the input file uses `'auto'`, `''`, or `['!family', 'auto']`,\n",
+ "you'll see the resolved result. If it uses manual library lists, they pass through unchanged."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "eft98a4ciwl",
+ "metadata": {
+ "execution": {
+ "iopub.execute_input": "2026-04-25T04:32:50.636983Z",
+ "iopub.status.busy": "2026-04-25T04:32:50.636912Z",
+ "iopub.status.idle": "2026-04-25T04:32:50.647876Z",
+ "shell.execute_reply": "2026-04-25T04:32:50.647691Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Thermo libraries (9):\n",
+ " primaryThermoLibrary\n",
+ " BurkeH2O2\n",
+ " Spiekermann_refining_elementary_reactions\n",
+ " thermo_DFT_CCSDTF12_BAC\n",
+ " DFT_QCI_thermo\n",
+ " CBS_QB3_1dHR\n",
+ " FFCM1(-)\n",
+ " FormicAcid\n",
+ " NOx2018\n",
+ "\n",
+ "Reaction libraries (4):\n",
+ " FormicAcid\n",
+ " FFCM1(-)\n",
+ " NOx2018\n",
+ " 2005_Senosiain_OH_C2H2\n",
+ "\n",
+ "Seed mechanisms (1):\n",
+ " primaryH2O2\n",
+ "\n",
+ "Transport libraries (4):\n",
+ " PrimaryTransportLibrary\n",
+ " OneDMinN2\n",
+ " NOx2018\n",
+ " GRI-Mech\n",
+ "\n",
+ "Kinetics families (51):\n",
+ " 1,2_shiftC\n",
+ " H_Abstraction\n",
+ " intra_NO2_ONO_conversion\n",
+ " intra_H_migration\n",
+ " 1,3_Insertion_CO2\n",
+ " Cyclic_Ether_Formation\n",
+ " Disproportionation\n",
+ " 1,2_NH3_elimination\n",
+ " 1,3_Insertion_RSR\n",
+ " 1+2_Cycloaddition\n",
+ " intra_substitutionCS_cyclization\n",
+ " Cyclopentadiene_scission\n",
+ " HO2_Elimination_from_PeroxyRadical\n",
+ " 1,3_NH3_elimination\n",
+ " intra_substitutionS_isomerization\n",
+ " Birad_R_Recombination\n",
+ " Diels_alder_addition\n",
+ " R_Recombination\n",
+ " 1,4_Cyclic_birad_scission\n",
+ " Intra_Disproportionation\n",
+ " R_Addition_COm\n",
+ " Intra_R_Add_Exo_scission\n",
+ " intra_substitutionS_cyclization\n",
+ " Retroene\n",
+ " R_Addition_MultipleBond\n",
+ " intra_OH_migration\n",
+ " CO_Disproportionation\n",
+ " 2+2_cycloaddition\n",
+ " Ketoenol\n",
+ " intra_substitutionCS_isomerization\n",
+ " 1,2-Birad_to_alkene\n",
+ " Intra_2+2_cycloaddition_Cd\n",
+ " Concerted_Intra_Diels_alder_monocyclic_1,2_shiftH\n",
+ " Birad_recombination\n",
+ " 1,3_Insertion_ROR\n",
+ " Cyclic_Thioether_Formation\n",
+ " Intra_R_Add_Endocyclic\n",
+ " 1,2_Insertion_CO\n",
+ " Singlet_Carbene_Intra_Disproportionation\n",
+ " 1,4_Linear_birad_scission\n",
+ " Intra_5_membered_conjugated_C=C_C=C_addition\n",
+ " 1,2_shiftS\n",
+ " Intra_R_Add_Exocyclic\n",
+ " Intra_Retro_Diels_alder_bicyclic\n",
+ " 1,3_sigmatropic_rearrangement\n",
+ " Intra_ene_reaction\n",
+ " Diels_alder_addition_Aromatic\n",
+ " Intra_Diels_alder_monocyclic\n",
+ " 6_membered_central_C-C_shift\n",
+ " Singlet_Val6_to_triplet\n",
+ " 1,2_Insertion_carbene\n"
+ ]
+ }
+ ],
+ "source": [
+ "from rmgpy.data.auto_database import auto_select_libraries, PAH_LIBS, to_reaction_library_tuples\n",
+ "\n",
+ "# Work on a fresh copy so we don't mutate the rmg object used above\n",
+ "import copy\n",
+ "rmg2 = copy.deepcopy(rmg)\n",
+ "\n",
+ "# Run the same auto-selection that main.py would run\n",
+ "auto_select_libraries(rmg2)\n",
+ "\n",
+ "# Convert reaction libraries to tuples (as main.py does before load_database)\n",
+ "if isinstance(rmg2.reaction_libraries, list):\n",
+ " output_edge = getattr(rmg2, 'reaction_libraries_output_edge', set())\n",
+ " rmg2.reaction_libraries = to_reaction_library_tuples(rmg2.reaction_libraries, output_edge)\n",
+ "\n",
+ "has_auto = any(\n",
+ " getattr(rmg, attr, None) == 'auto'\n",
+ " or (isinstance(getattr(rmg, attr, None), list) and 'auto' in getattr(rmg, attr))\n",
+ " for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms',\n",
+ " 'transport_libraries', 'kinetics_families')\n",
+ ")\n",
+ "\n",
+ "if not has_auto:\n",
+ " print('The input file does not use \\'auto\\' in any database field.')\n",
+ " print('The settings below are exactly what was specified in the input file.\\n')\n",
+ "\n",
+ "print_list('Thermo libraries', rmg2.thermo_libraries)\n",
+ "\n",
+ "rxn_lib_names = [name for name, _ in rmg2.reaction_libraries] if isinstance(rmg2.reaction_libraries, list) else rmg2.reaction_libraries\n",
+ "print_list('Reaction libraries', rxn_lib_names or [])\n",
+ "\n",
+ "edge_libs = [name for name, flag in rmg2.reaction_libraries if flag] if isinstance(rmg2.reaction_libraries, list) else []\n",
+ "if edge_libs:\n",
+ " print(f'\\n (output unused edge reactions for: {\", \".join(edge_libs)})')\n",
+ "\n",
+ "print_list('Seed mechanisms', rmg2.seed_mechanisms or [])\n",
+ "print_list('Transport libraries', rmg2.transport_libraries or [])\n",
+ "\n",
+ "if isinstance(rmg2.kinetics_families, list):\n",
+ " print_list('Kinetics families', rmg2.kinetics_families)\n",
+ "else:\n",
+ " print(f'\\nKinetics families: {rmg2.kinetics_families!r} (resolved at database load time)')"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.23"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/ipython/cantera_sensitivity_comparison.ipynb b/ipython/cantera_sensitivity_comparison.ipynb
index c89b386983f..26aea697824 100644
--- a/ipython/cantera_sensitivity_comparison.ipynb
+++ b/ipython/cantera_sensitivity_comparison.ipynb
@@ -13,17 +13,9 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "2.4.0\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"import cantera\n",
"print(cantera.__version__) # Check Cantera version"
@@ -31,7 +23,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -55,7 +47,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -73,7 +65,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -95,7 +87,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
@@ -111,67 +103,15 @@
"#job.load_chemkin_model('data/ethane_model/chem_annotated.inp',transport_file='data/ethane_model/tran.dat')\n",
"\n",
"# Generate the conditions based on the settings we declared earlier\n",
- "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist, Plist)"
+ "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n",
+ " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "cantera simulation is: \n",
- "Cantera Simulation: Condition 1 Species Mole Fractions\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cantera Simulation: Condition 1 Ethane Reaction Sensitivity\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Cantera Simulation: Condition 1 Ethane Thermo Sensitivity\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# Simulate and plot\n",
"alldata = job.simulate()\n",
@@ -192,84 +132,11 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": null,
"metadata": {
"scrolled": true
},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Reading input file \"/Users/kevin/Documents/Green_Lab/RMG/RMG-Py/ipython/temp/input.py\"...\n",
- "# Data sources\n",
- "database(\n",
- " thermoLibraries = ['DFT_QCI_thermo', 'primaryThermoLibrary'],\n",
- " reactionLibraries = [],\n",
- " seedMechanisms = [],\n",
- " kineticsDepositories = ['training'],\n",
- " kineticsFamilies = 'default',\n",
- " kineticsEstimator = 'rate rules',\n",
- ")\n",
- "\n",
- "generatedSpeciesConstraints(\n",
- " allowed=['input species','seed mechanisms','reaction libraries'],\n",
- " maximumRadicalElectrons = 2,\n",
- " maximumCarbonAtoms = 10,\n",
- ")\n",
- "\n",
- "# List of species\n",
- "species(\n",
- " label='ethane',\n",
- " reactive=True,\n",
- " structure=SMILES(\"CC\"),\n",
- ")\n",
- "\n",
- "species(\n",
- " label='methane',\n",
- " reactive=True,\n",
- " structure=SMILES(\"C\"),\n",
- ")\n",
- "\n",
- "# Reaction systems\n",
- "simpleReactor(\n",
- " temperature=(1300,'K'),\n",
- " pressure=(1.0,'bar'),\n",
- " initialMoleFractions={\n",
- " \"ethane\": 1.0,\n",
- " },\n",
- " terminationTime=(0.5,'ms'),\n",
- " sensitivity=['ethane','methane']\n",
- ")\n",
- "\n",
- "simulator(\n",
- " atol=1e-16,\n",
- " rtol=1e-8,\n",
- ")\n",
- "\n",
- "model(\n",
- " toleranceMoveToCore=0.01,\n",
- " filterReactions=True,\n",
- ")\n",
- "\n",
- "options(\n",
- " units='si',\n",
- " generateOutputHTML=False,\n",
- " generatePlots=False,\n",
- " saveEdgeSpecies=True,\n",
- " saveSimulationProfiles=True,\n",
- ")\n",
- "\n",
- "\n",
- "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n",
- "\n",
- "Thermo file has default temperature range 300.0 to 1000.0 and 1000.0 to 5000.0\n",
- "Conducting simulation and sensitivity analysis of reaction system 1...\n",
- "At time 5.0000e-04 s, reached target termination time.\n",
- "Simulation took 1.9629549980163574 seconds\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"# Copy example input file to temp folder\n",
"shutil.copy('./data/ethane_model/input.py', './temp')\n",
@@ -284,44 +151,9 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "RMG Native Simulation: Species Mole Fractions\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "RMG Native Simulation: Ethane Reaction Sensitivity\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"print('RMG Native Simulation: Species Mole Fractions')\n",
"display(Image(filename=\"./temp/solver/simulation_1_27.png\"))\n",
@@ -332,44 +164,9 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": null,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CHEMKIN Simulation: Species Mole Fractions\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "CHEMKIN Simulation: Ethane Reaction Sensitivity\n"
- ]
- },
- {
- "data": {
- "image/png": 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\n",
- "text/plain": [
- ""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# Let's also compare against the same simulation and sensitivity analysis that was conducted in CHEMKIN\n",
"# and saved as a .csv file\n",
@@ -383,18 +180,11 @@
"print('CHEMKIN Simulation: Ethane Reaction Sensitivity')\n",
"display(Image(filename=\"./temp/chemkin_sensitivity_ethane.png\"))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -408,9 +198,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.7"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/cantera_simulation.ipynb b/ipython/cantera_simulation.ipynb
index 188879bbff9..446eb39740e 100644
--- a/ipython/cantera_simulation.ipynb
+++ b/ipython/cantera_simulation.ipynb
@@ -80,7 +80,8 @@
"#job.load_chemkin_model('data/ethane_model/chem_annotated.inp',transport_file='data/ethane_model/tran.dat')\n",
"\n",
"# Generate the conditions based on the settings we declared earlier\n",
- "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, Tlist, Plist)"
+ "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n",
+ " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)"
]
},
{
@@ -170,20 +171,13 @@
" print('Condition {0}'.format(i+1))\n",
" display(Image(filename=\"temp/{0}_mole_fractions.png\".format(i+1)))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -195,9 +189,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/combustion_model_and_ignition_delay_demo.ipynb b/ipython/combustion_model_and_ignition_delay_demo.ipynb
index 2b3ff36d16f..35e510da9f8 100644
--- a/ipython/combustion_model_and_ignition_delay_demo.ipynb
+++ b/ipython/combustion_model_and_ignition_delay_demo.ipynb
@@ -185,7 +185,9 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {},
+ "metadata": {
+ "scrolled": true
+ },
"outputs": [],
"source": [
"import time\n",
@@ -245,12 +247,13 @@
"mol_frac_list=[{species_dict[fuel_species]: fuel_stoich,\n",
" species_dict[O2_species]: 1,\n",
" species_dict[N2_species]: 3.76}]\n",
- "T_list = ([temperature],'K')\n",
- "P_list = ([pressure],'atm')\n",
+ "Tlist = ([temperature],'K')\n",
+ "Plist = ([pressure],'atm')\n",
"\n",
"job = Cantera(species_list=species_list, reaction_list=reaction_list, output_directory=directory)\n",
"job.load_chemkin_model(os.path.join(chem_path, 'chem_annotated.inp'), os.path.join(chem_path, 'tran.dat'))\n",
- "job.generate_conditions(reactor_type_list, reaction_time_list, mol_frac_list, T_list, P_list)\n",
+ "job.generate_conditions(reactor_type_list=reactor_type_list, reaction_time_list=reaction_time_list, \n",
+ " mol_frac_list=mol_frac_list, Tlist=Tlist, Plist=Plist)\n",
"\n",
"alldata = job.simulate()\n",
"print(\"Simulation Completed\")"
@@ -266,9 +269,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"############### Settings ###############\n",
@@ -280,7 +281,6 @@
"import pandas as pd\n",
"from rmgpy.tools import plot as rmg_plot\n",
"from operator import itemgetter\n",
- "%matplotlib notebook\n",
"\n",
"times = alldata[0][0].data\n",
"temperatures = alldata[0][1][0].data\n",
@@ -353,9 +353,6 @@
"plt.rcParams['ytick.labelsize'] = 12\n",
"plt.rcParams['figure.autolayout'] = True\n",
"\n",
- "plt.style.use('ggplot')\n",
- "plt.style.use('seaborn-pastel')\n",
- "\n",
"fig = plt.figure(figsize=fsize)\n",
"\n",
"plt.subplot(1,2,1)\n",
@@ -418,7 +415,7 @@
"outputs": [],
"source": [
"import cantera as ct\n",
- "gas = ct.Solution(os.path.join(directory, 'cantera', 'chem.cti'))\n",
+ "gas = ct.Solution(os.path.join(directory, 'cantera', 'chem.yaml'))\n",
"comp = str(species_dict[fuel_species])+\":\"+str(fuel_stoich)+\",\"+str(species_dict[O2_species])+\":1,\"+str(species_dict[N2_species])+\":3.76\"\n",
"gas.TPX = temperature, pressure, comp\n",
"reactor = ct.IdealGasConstPressureReactor(gas)\n",
@@ -426,8 +423,6 @@
"network.advance(ign_delay_time)\n",
"ROP_C = ct.ReactionPathDiagram(gas, 'C')\n",
"\n",
- "from PIL import Image as PILimg\n",
- "ROP1 = plt.subplot(1,1,1)\n",
"dot_file = os.path.join(directory, 'cantera', 'rxnpathC.dot')\n",
"img_file = os.path.join(directory, 'cantera', 'rxnpathC.png')\n",
"ROP_C.title = 'Reaction path diagram following C'\n",
@@ -439,21 +434,14 @@
"fullpath = os.getcwd() + '/' + img_file\n",
"display(Image(fullpath))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -465,9 +453,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
}
diff --git a/ipython/coverage_dependent_thermo.ipynb b/ipython/coverage_dependent_thermo.ipynb
new file mode 100644
index 00000000000..28a93fd86a5
--- /dev/null
+++ b/ipython/coverage_dependent_thermo.ipynb
@@ -0,0 +1,6793 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "11c0b84e-3287-4231-b37b-f27486a6d2e1",
+ "metadata": {},
+ "source": [
+ "# Example running RMG with a thermo lib with coverage-dependence"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "81ea402f-9a0b-4b67-83ae-8c22175be431",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import numpy as np\n",
+ "import subprocess\n",
+ "import cantera as ct\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e510eda3",
+ "metadata": {},
+ "source": [
+ "# Run baseline and coverage-dependent RMG jobs\n",
+ "\n",
+ "Each of the runs should take less than 2 minutes"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "0705ecb7-7fe2-48a9-b168-4884859dbe3f",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Running RMG with input file at temp/base_rmg_run/input.py...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ ":root:Removing old /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG_backup.log\n",
+ ":root:Moving /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG.log to /home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/RMG_backup.log\n",
+ "\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Global RMG Settings:\n",
+ " database.directory = /home/moon/rmg/RMG-database/input (Default, relative to RMG-Py source code)\n",
+ " test_data.directory = /home/moon/rmg/RMG-Py/test/rmgpy/test_data (Default, relative to RMG-Py source code)\n",
+ "RMG execution initiated at Thu Apr 16 08:23:40 2026\n",
+ "\n",
+ "#########################################################\n",
+ "# RMG-Py - Reaction Mechanism Generator in Python #\n",
+ "# Version: 3.3.0 #\n",
+ "# Authors: RMG Developers (rmg_dev@mit.edu) #\n",
+ "# P.I.s: William H. Green (whgreen@mit.edu) #\n",
+ "# Richard H. West (r.west@neu.edu) #\n",
+ "# Website: http://reactionmechanismgenerator.github.io/ #\n",
+ "#########################################################\n",
+ "\n",
+ "The current git HEAD for RMG-Py is:\n",
+ "\tb'40e65623c140cfd4ec877b939c23163cde07622e'\n",
+ "\tb'Fri Apr 10 09:36:20 2026 -0400'\n",
+ "\n",
+ "The current git HEAD for RMG-database is:\n",
+ "\tb'd772ee69457449709fd0ec02a1da3e7732944f84'\n",
+ "\tb'Thu Apr 16 08:21:16 2026 -0400'\n",
+ "\n",
+ "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/base_rmg_run/input.py\"...\n",
+ "\n",
+ "# Data sources\n",
+ "database(\n",
+ " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n",
+ " reactionLibraries = [\n",
+ " ('Surface/Methane/Deutschmann_Pt', False),\n",
+ " ('Surface/Methane/Vlachos_Pt111', False),\n",
+ " 'BurkeH2O2inArHe'],\n",
+ " seedMechanisms = [],\n",
+ " kineticsDepositories = ['training'],\n",
+ " kineticsFamilies =['surface','default'],\n",
+ " kineticsEstimator = 'rate rules',\n",
+ ")\n",
+ "\n",
+ "catalystProperties( # default values for Pt(111)\n",
+ " metal = 'Pt111',\n",
+ " thermoCoverageDependence = False,\n",
+ ")\n",
+ "\n",
+ "# List of species\n",
+ "species(\n",
+ " label='X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\"1 X u0\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH4]\"),\n",
+ ")\n",
+ "species(\n",
+ " label='O2',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u1 p2 c0 {2,S}\n",
+ " 2 O u1 p2 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='Ar',\n",
+ " reactive=False,\n",
+ " structure=SMILES(\"[Ar]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O=C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H][H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[C-]#[O+]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H6',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH3]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C3H8',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CCC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H5',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C[CH2]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HCO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CHO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[OH]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO[O]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {3,D}\n",
+ " 2 O u0 p2 c0 {3,D}\n",
+ " 3 C u0 p0 c0 {1,D} {2,D}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='COX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,D}\n",
+ " 3 X u0 p0 c0 {2,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 H u0 p0 c0 {1,S}\n",
+ " 6 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,T}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,T}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,Q}\n",
+ " 2 X u0 p0 c0 {1,Q}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHOX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n",
+ " 3 H u0 p0 c0 {2,S}\n",
+ " 4 X u0 p0 c0 {2,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "surfaceReactor(\n",
+ " temperature=(1000,'K'),\n",
+ " initialPressure=(1.0, 'bar'),\n",
+ " initialGasMoleFractions={\n",
+ " \"CH4\": 0.041866,\n",
+ " \"O2\": 0.03488,\n",
+ " \"Ar\": 0.131246,\n",
+ " },\n",
+ " initialSurfaceCoverages={\n",
+ " \"X\": 1.0,\n",
+ " },\n",
+ " surfaceVolumeRatio=(1.e5, 'm^-1'),\n",
+ " terminationConversion = { \"CH4\":0.95,},\n",
+ " terminationTime=(10., 's'),\n",
+ " # terminationConversion={'O2': 0.99,},\n",
+ " terminationRateRatio=0.05\n",
+ ")\n",
+ "\n",
+ "\n",
+ "simulator(\n",
+ " atol=1e-18,\n",
+ " rtol=1e-12,\n",
+ ")\n",
+ "\n",
+ "model(\n",
+ " toleranceKeepInEdge=0.0,\n",
+ " toleranceMoveToCore=1e-1,\n",
+ " toleranceInterruptSimulation=1e8,\n",
+ " maximumEdgeSpecies=500000,\n",
+ " maxNumSpecies=40,\n",
+ ")\n",
+ "\n",
+ "options(\n",
+ " units='si',\n",
+ " saveRestartPeriod=None,\n",
+ " generateOutputHTML=True,\n",
+ " generatePlots=False,\n",
+ " saveEdgeSpecies=True,\n",
+ " saveSimulationProfiles=True,\n",
+ ")\n",
+ "\n",
+ "generatedSpeciesConstraints(\n",
+ " allowed=['input species','reaction libraries'],\n",
+ " maximumSurfaceSites=1,\n",
+ ")\n",
+ "\n",
+ "Using catalyst surface properties from metal 'Pt111'.\n",
+ "Using binding energies:\n",
+ "{'H': (-2.75368,'eV/molecule'), 'C': (-7.02516,'eV/molecule'), 'N': (-4.63225,'eV/molecule'), 'O': (-3.81153,'eV/molecule')}\n",
+ "Using surface site density: (2.483e-09,'mol/cm^2')\n",
+ "Coverage dependence is turned OFF\n",
+ "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n",
+ "\n",
+ "\n",
+ "Surface reaction system 1\n",
+ "Gas phase mole fractions:\n",
+ " CH4 0.20129\n",
+ " O2 0.1677\n",
+ " Ar 0.63101\n",
+ "Total gas phase: 1 moles\n",
+ "Pressure: 1e+05 Pa\n",
+ "Temperature: 1000.0 K\n",
+ "Reactor volume: 0.0831 m3\n",
+ "Surface/volume ratio: 1e+05 m2/m3\n",
+ "Surface site density: 2.48e-05 mol/m2\n",
+ "Surface sites in reactor: 0.206 moles\n",
+ "Initial surface coverages (and amounts):\n",
+ " X 1 = 0.20645 moles\n",
+ "Warning: Generate Output HTML option was turned on. Note that this will slow down model generation.\n",
+ "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n",
+ "\n",
+ "Loading transport library from PrimaryTransportLibrary.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from OneDMinN2.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading kinetics library Surface/Methane/Deutschmann_Pt from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Deutschmann_Pt/reactions.py...\n",
+ "Loading kinetics library Surface/Methane/Vlachos_Pt111 from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Vlachos_Pt111/reactions.py...\n",
+ "Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n",
+ "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n",
+ "Loading thermodynamics library from surfaceThermoCovDepPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Trimolecular reactions are turned on\n",
+ "Adding rate rules from training set in kinetics families...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n",
+ "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n",
+ "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n",
+ "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n",
+ "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n",
+ "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Filling in rate rules in kinetics families by averaging...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=9.78829e-18): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.30526e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.38146e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.43874e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.11249e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=5.2787e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.26538e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.9079e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.53573e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.43345e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.47964e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.34061e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.87325e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.20362e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.39961e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.56405e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.40143e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.71804e-22): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.97734e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.47076e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=6.10745e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.69387e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.30536e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.51603e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n",
+ " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n",
+ "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=1.08953e-21): result may not be accurate.\n",
+ " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Adding reaction library Surface/Methane/Deutschmann_Pt to model edge...\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 18 new edge reactions\n",
+ " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n",
+ " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n",
+ " X(1) + H2O(5) <=> H2OX(32)\n",
+ " X(1) + CO2(4) <=> CO2X(22)\n",
+ " X(1) + CO(7) <=> COX(23)\n",
+ " OX(25) + CX(29) <=> X(1) + COX(23)\n",
+ " OX(25) + COX(23) <=> X(1) + CO2X(22)\n",
+ " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n",
+ " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n",
+ " X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ " OX(25) + HX(21) <=> X(1) + OHX(31)\n",
+ " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ " H2(6) + CX(29) <=> CH2X(26)\n",
+ " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 34 species and 18 reactions\n",
+ "\n",
+ "Adding reaction library Surface/Methane/Vlachos_Pt111 to model edge...\n",
+ "This library reaction was not new: X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ "This library reaction was not new: X(1) + CO2(4) <=> CO2X(22)\n",
+ "This library reaction was not new: X(1) + CO2X(22) <=> OX(25) + COX(23)\n",
+ "This library reaction was not new: X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ "This library reaction was not new: X(1) + OHX(31) <=> OX(25) + HX(21)\n",
+ "This library reaction was not new: X(1) + H2OX(32) <=> HX(21) + OHX(31)\n",
+ "This library reaction was not new: OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ "This library reaction was not new: X(1) + H2O(5) <=> H2OX(32)\n",
+ "This library reaction was not new: HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ "This library reaction was not new: X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ "This library reaction was not new: X(1) + CH3X(27) <=> HX(21) + CH2X(26)\n",
+ "This library reaction was not new: X(1) + CH2X(26) <=> HX(21) + CHX(28)\n",
+ "This library reaction was not new: X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ "This library reaction was not new: X(1) + COX(23) <=> OX(25) + CX(29)\n",
+ "Warning: Species CO from reaction library Surface/Methane/Vlachos_Pt111 is globally forbidden. It will behave as an inert unless found in a seed mechanism or reaction library.\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 15 new edge species\n",
+ " O(34)\n",
+ " CO(35)\n",
+ " COOH(36)\n",
+ " COOH_X(37)\n",
+ " HCOO(38)\n",
+ " HCOO_XX(39)\n",
+ " C(40)\n",
+ " CH(41)\n",
+ " CH2(42)\n",
+ " CH3OH_X(43)\n",
+ " CH3O(44)\n",
+ " CH3O_X(45)\n",
+ " CH2O_X(46)\n",
+ " CH2OH(47)\n",
+ " CH2OH_X(48)\n",
+ "Added 0 new core reactions\n",
+ "Created 37 new edge reactions\n",
+ " X(1) + O(34) <=> OX(25)\n",
+ " X(1) + CO(35) <=> COX(23)\n",
+ " X(1) + OH(17) <=> OHX(31)\n",
+ " X(1) + H(12) <=> HX(21)\n",
+ " X(1) + COOH(36) <=> COOH_X(37)\n",
+ " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n",
+ " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n",
+ " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n",
+ " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n",
+ " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + X(1) + HCOO(38) <=> HCOO_XX(39)\n",
+ " HX(21) + CO2X(22) <=> HCOO_XX(39)\n",
+ " X(1) + OHX(31) + CO2X(22) <=> OX(25) + HCOO_XX(39)\n",
+ " X(1) + C(40) <=> CX(29)\n",
+ " X(1) + CH(41) <=> CHX(28)\n",
+ " X(1) + CH2(42) <=> CH2X(26)\n",
+ " X(1) + CH3(10) <=> CH3X(27)\n",
+ " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n",
+ " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n",
+ " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n",
+ " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n",
+ " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OX(25) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OHX(31) + CX(29)\n",
+ " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n",
+ " X(1) + CH3OH(14) <=> CH3OH_X(43)\n",
+ " X(1) + CH3O(44) <=> CH3O_X(45)\n",
+ " X(1) + CH2O(9) <=> CH2O_X(46)\n",
+ " X(1) + HCO(15) <=> CHOX(33)\n",
+ " X(1) + CH2OH(47) <=> CH2OH_X(48)\n",
+ " X(1) + CH3OH_X(43) <=> HX(21) + CH3O_X(45)\n",
+ " X(1) + CH3O_X(45) <=> HX(21) + CH2O_X(46)\n",
+ " X(1) + CH2O_X(46) <=> HX(21) + CHOX(33)\n",
+ " X(1) + CHOX(33) <=> HX(21) + COX(23)\n",
+ " X(1) + CH3OH_X(43) <=> HX(21) + CH2OH_X(48)\n",
+ " X(1) + CH2OH_X(48) <=> HX(21) + CH2O_X(46)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 49 species and 55 reactions\n",
+ "\n",
+ "Adding reaction library BurkeH2O2inArHe to model edge...\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 3 new edge species\n",
+ " He(49)\n",
+ " HO2(50)\n",
+ " H2O2(51)\n",
+ "Added 0 new core reactions\n",
+ "Created 30 new edge reactions\n",
+ " O2(3) + H(12) <=> O(34) + OH(17)\n",
+ " O(34) + H2(6) <=> H(12) + OH(17)\n",
+ " OH(17) + H2(6) <=> H(12) + H2O(5)\n",
+ " OH(17) + OH(17) <=> O(34) + H2O(5)\n",
+ " H2(6) <=> H(12) + H(12)\n",
+ " Ar + H2(6) <=> Ar + H(12) + H(12)\n",
+ " He(49) + H2(6) <=> He(49) + H(12) + H(12)\n",
+ " O(34) + O(34) <=> O2(3)\n",
+ " Ar + O(34) + O(34) <=> Ar + O2(3)\n",
+ " He(49) + O(34) + O(34) <=> He(49) + O2(3)\n",
+ " O(34) + H(12) <=> OH(17)\n",
+ " H2O(5) <=> H(12) + OH(17)\n",
+ " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n",
+ " O2(3) + H(12) <=> HO2(50)\n",
+ " H(12) + HO2(50) <=> O2(3) + H2(6)\n",
+ " H(12) + HO2(50) <=> OH(17) + OH(17)\n",
+ " O(34) + HO2(50) <=> O2(3) + OH(17)\n",
+ " OH(17) + HO2(50) <=> O2(3) + H2O(5)\n",
+ " HO2(50) + HO2(50) <=> O2(3) + H2O2(51)\n",
+ " H2O2(51) <=> OH(17) + OH(17)\n",
+ " H(12) + H2O2(51) <=> OH(17) + H2O(5)\n",
+ " H(12) + H2O2(51) <=> HO2(50) + H2(6)\n",
+ " O(34) + H2O2(51) <=> OH(17) + HO2(50)\n",
+ " OH(17) + H2O2(51) <=> HO2(50) + H2O(5)\n",
+ " H(12) + HO2(50) <=> O(34) + H2O(5)\n",
+ " H(12) + HO2(50) <=> H2O2(51)\n",
+ " OH(17) + OH(17) <=> O2(3) + H2(6)\n",
+ " O(34) + H2O(5) <=> O2(3) + H2(6)\n",
+ " O(34) + H2O2(51) <=> O2(3) + H2O(5)\n",
+ " O(34) + OH(17) <=> HO2(50)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 52 species and 85 reactions\n",
+ "\n",
+ "Warning: Input species CH3CH is globally forbidden but will be explicitly allowed since input species are permitted by the user's species constraints\n",
+ "NOT generating reactions for unreactive species Ar\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " Ar\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 1 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "NOT generating reactions for unreactive species Ne\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " Ne\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 2 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "NOT generating reactions for unreactive species N2\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " N2\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 3 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species X(1) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " X(1)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 4 species and 0 reactions\n",
+ " The model edge has 50 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH4(2) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH4(2)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 5 species and 0 reactions\n",
+ " The model edge has 49 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species O2(3) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O2(3)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 6 species and 0 reactions\n",
+ " The model edge has 48 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO2(4) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO2(4)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 7 species and 0 reactions\n",
+ " The model edge has 47 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2O(5) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2O(5)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 8 species and 0 reactions\n",
+ " The model edge has 46 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2(6) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2(6)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 9 species and 0 reactions\n",
+ " The model edge has 45 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO(7) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO(7)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 10 species and 0 reactions\n",
+ " The model edge has 44 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H6(8) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H6(8)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 11 species and 0 reactions\n",
+ " The model edge has 43 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH2O(9) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH2O(9)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 12 species and 0 reactions\n",
+ " The model edge has 42 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3(10) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3(10)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 13 species and 0 reactions\n",
+ " The model edge has 41 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C3H8(11) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C3H8(11)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 14 species and 0 reactions\n",
+ " The model edge has 40 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H(12) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H(12)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " H2(6) <=> H(12) + H(12)\n",
+ " Ar + H2(6) <=> Ar + H(12) + H(12)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 15 species and 2 reactions\n",
+ " The model edge has 39 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H5(13) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H5(13)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 16 species and 2 reactions\n",
+ " The model edge has 38 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3OH(14) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3OH(14)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 17 species and 2 reactions\n",
+ " The model edge has 37 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species HCO(15) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " HCO(15)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 18 species and 2 reactions\n",
+ " The model edge has 36 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3CHO(16) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3CHO(16)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 19 species and 2 reactions\n",
+ " The model edge has 35 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OH(17) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OH(17)\n",
+ "Created 0 new edge species\n",
+ "Moved 4 reactions from edge to core\n",
+ " OH(17) + H2(6) <=> H(12) + H2O(5)\n",
+ " H2O(5) <=> H(12) + OH(17)\n",
+ " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n",
+ " OH(17) + OH(17) <=> O2(3) + H2(6)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 20 species and 6 reactions\n",
+ " The model edge has 34 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H4(18) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H4(18)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 21 species and 6 reactions\n",
+ " The model edge has 33 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3CH(19) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3CH(19)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 22 species and 6 reactions\n",
+ " The model edge has 32 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3OO(20) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3OO(20)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 23 species and 6 reactions\n",
+ " The model edge has 31 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species HX(21) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " HX(21)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ " X(1) + H(12) <=> HX(21)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 24 species and 8 reactions\n",
+ " The model edge has 30 species and 77 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO2X(22) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO2X(22)\n",
+ "Created 0 new edge species\n",
+ "Moved 1 reactions from edge to core\n",
+ " X(1) + CO2(4) <=> CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 25 species and 9 reactions\n",
+ " The model edge has 29 species and 76 reactions\n",
+ "\n",
+ "\n",
+ "Adding species COX(23) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " COX(23)\n",
+ "Created 0 new edge species\n",
+ "Moved 1 reactions from edge to core\n",
+ " X(1) + CO(7) <=> COX(23)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 26 species and 10 reactions\n",
+ " The model edge has 28 species and 75 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH4X(24) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH4X(24)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 27 species and 10 reactions\n",
+ " The model edge has 27 species and 75 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OX(25) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OX(25)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ " OX(25) + COX(23) <=> X(1) + CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 28 species and 12 reactions\n",
+ " The model edge has 26 species and 73 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH2X(26) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH2X(26)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 29 species and 12 reactions\n",
+ " The model edge has 25 species and 73 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3X(27) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3X(27)\n",
+ "Created 0 new edge species\n",
+ "Moved 3 reactions from edge to core\n",
+ " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n",
+ " X(1) + CH3(10) <=> CH3X(27)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 30 species and 15 reactions\n",
+ " The model edge has 24 species and 70 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CHX(28) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CHX(28)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n",
+ " HX(21) + COX(23) <=> OX(25) + CHX(28)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 31 species and 17 reactions\n",
+ " The model edge has 23 species and 68 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CX(29) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CX(29)\n",
+ "Created 0 new edge species\n",
+ "Moved 4 reactions from edge to core\n",
+ " OX(25) + CX(29) <=> X(1) + COX(23)\n",
+ " X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ " H2(6) + CX(29) <=> CH2X(26)\n",
+ " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 32 species and 21 reactions\n",
+ " The model edge has 22 species and 64 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2X(30) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2X(30)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 33 species and 21 reactions\n",
+ " The model edge has 21 species and 64 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OHX(31) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OHX(31)\n",
+ "Created 0 new edge species\n",
+ "Moved 8 reactions from edge to core\n",
+ " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n",
+ " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ " OX(25) + HX(21) <=> X(1) + OHX(31)\n",
+ " X(1) + OH(17) <=> OHX(31)\n",
+ " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n",
+ " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n",
+ " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OHX(31) + CX(29)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 34 species and 29 reactions\n",
+ " The model edge has 20 species and 56 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2OX(32) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2OX(32)\n",
+ "Created 0 new edge species\n",
+ "Moved 7 reactions from edge to core\n",
+ " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n",
+ " X(1) + H2O(5) <=> H2OX(32)\n",
+ " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n",
+ " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n",
+ " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 35 species and 36 reactions\n",
+ " The model edge has 19 species and 49 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CHOX(33) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CHOX(33)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + HCO(15) <=> CHOX(33)\n",
+ " X(1) + CHOX(33) <=> HX(21) + COX(23)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 36 species and 38 reactions\n",
+ " The model edge has 18 species and 47 reactions\n",
+ "\n",
+ "\n",
+ "Initialization complete. Starting model generation.\n",
+ "\n",
+ "Generating initial reactions...\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CO2(4) <=> [O]OO[C]=O(82), Ea raised from 413.6 to 418.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CO2(4) <=> [O]OC([O])=O(83), Ea raised from 298.1 to 300.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H6(8) <=> HO2(50) + C2H5(13), Ea raised from 207.3 to 215.7 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> HO2(50) + HCO(15), Ea raised from 158.7 to 162.5 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> [CH2]OO[O](84), Ea raised from 358.5 to 363.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> [O]CO[O](85), Ea raised from 172.4 to 176.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47), Ea raised from 178.9 to 195.8 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59), Ea raised from 157.1 to 167.1 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> C[CH]OO[O](88), Ea raised from 373.4 to 376.8 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> CC([O])O[O](89), Ea raised from 176.0 to 178.9 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + OH(17) <=> O=O(90) + OH(17), Ea raised from 94.3 to 94.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60), Ea raised from 251.1 to 256.1 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + CO2(4) <=> O=C1OOC1=O(97), Ea raised from 333.9 to 341.4 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH2O(9) <=> O=C1COO1(106), Ea raised from 264.6 to 271.9 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction H(12) + CO2(4) <=> HCOO(38), Ea raised from 47.9 to 52.0 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129), Ea raised from 271.9 to 279.8 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH2O(9) + CH2O(9) <=> C1COO1(169), Ea raised from 222.9 to 224.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227), Ea raised from 83.9 to 85.5 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246), Ea raised from 247.3 to 247.4 kJ/mol to match endothermicity of reaction.\n",
+ "Generating thermo for new species...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 201 new edge species\n",
+ " [CH2](52)\n",
+ " C[CH]C(53)\n",
+ " [CH2]CC(54)\n",
+ " [CH2][CH2](55)\n",
+ " [CH2]C[O](56)\n",
+ " C=CO(57)\n",
+ " [CH2]C=O(58)\n",
+ " C[C]=O(59)\n",
+ " [CH]=C(60)\n",
+ " [CH]C(61)\n",
+ " [CH][CH2](62)\n",
+ " [CH2]O[O](63)\n",
+ " C[CH2][Pt](64)\n",
+ " CC.[Pt](65)\n",
+ " C[CH](C)[Pt](66)\n",
+ " CC[CH2][Pt](67)\n",
+ " CCC.[Pt](68)\n",
+ " O=C[CH2][Pt](69)\n",
+ " C[C](=O)[Pt](70)\n",
+ " C[CH]=[Pt](71)\n",
+ " CC=O.[Pt](72)\n",
+ " C=[CH][Pt](73)\n",
+ " C=C.[Pt](74)\n",
+ " CO[O][Pt](75)\n",
+ " COC=O(76)\n",
+ " CC(=O)O(77)\n",
+ " [CH]O(78)\n",
+ " C[CH]O(79)\n",
+ " CC[O](80)\n",
+ " COO(81)\n",
+ " [O]OO[C]=O(82)\n",
+ " [O]OC([O])=O(83)\n",
+ " [CH2]OO[O](84)\n",
+ " [O]CO[O](85)\n",
+ " CCO[O](86)\n",
+ " [O]OC=O(87)\n",
+ " C[CH]OO[O](88)\n",
+ " CC([O])O[O](89)\n",
+ " O=O(90)\n",
+ " [CH2]CO[O](91)\n",
+ " C[CH]O[O](92)\n",
+ " COOO[O](93)\n",
+ " [O]C(=O)C([O])=O(94)\n",
+ " [O]C(=O)O[C]=O(95)\n",
+ " O=[C]OO[C]=O(96)\n",
+ " O=C1OOC1=O(97)\n",
+ " O=CO(98)\n",
+ " COC(C)=O(99)\n",
+ " CCOC=O(100)\n",
+ " CCC(=O)O(101)\n",
+ " [O]CC([O])=O(102)\n",
+ " [CH2]OC([O])=O(103)\n",
+ " [O]CO[C]=O(104)\n",
+ " [CH2]OO[C]=O(105)\n",
+ " O=C1COO1(106)\n",
+ " CO[C]=O(107)\n",
+ " CC([O])=O(108)\n",
+ " CCOC(C)=O(109)\n",
+ " CC(C)OC=O(110)\n",
+ " CCC(=O)OC(111)\n",
+ " CCCOC=O(112)\n",
+ " CC(C)C(=O)O(113)\n",
+ " CCCC(=O)O(114)\n",
+ " [CH2]COC=O(115)\n",
+ " [CH2]CC(=O)O(116)\n",
+ " CCO[C]=O(117)\n",
+ " CCC([O])=O(118)\n",
+ " O=COCO(119)\n",
+ " O=C(O)CO(120)\n",
+ " O=[C]OC=O(121)\n",
+ " [O]C(=O)C=O(122)\n",
+ " O=CCOC=O(123)\n",
+ " O=CCC(=O)O(124)\n",
+ " CC([O])C([O])=O(125)\n",
+ " C[CH]OC([O])=O(126)\n",
+ " CC([O])O[C]=O(127)\n",
+ " C[CH]OO[C]=O(128)\n",
+ " CC1OOC1=O(129)\n",
+ " C=COOC=O(130)\n",
+ " C=COC(=O)O(131)\n",
+ " [O]C(=O)O(132)\n",
+ " C=COC=O(133)\n",
+ " C=CC(=O)O(134)\n",
+ " [CH2]CC([O])=O(135)\n",
+ " [CH2]CO[C]=O(136)\n",
+ " O=C1CCO1(137)\n",
+ " [CH]COC=O(138)\n",
+ " [CH]CC(=O)O(139)\n",
+ " [C]C(140)\n",
+ " C[CH]O[C]=O(141)\n",
+ " CC=C([O])[O](142)\n",
+ " [O]OCOC=O(143)\n",
+ " [O]OCC(=O)O(144)\n",
+ " COOO[C]=O(145)\n",
+ " COOC([O])=O(146)\n",
+ " CCO(147)\n",
+ " CCC=O(148)\n",
+ " CC(C)=O(149)\n",
+ " O=CC=O(150)\n",
+ " CC(C)C=O(151)\n",
+ " CCCC=O(152)\n",
+ " CCC(C)=O(153)\n",
+ " [CH2]CC=O(154)\n",
+ " CC[C]=O(155)\n",
+ " O=CCO(156)\n",
+ " O=[C]C=O(157)\n",
+ " O=CCC=O(158)\n",
+ " CC(=O)C=O(159)\n",
+ " [CH-]=[O+]OC=C(160)\n",
+ " C=C[O+]=[C-]O(161)\n",
+ " C=CC=O(162)\n",
+ " [CH]CC=O(163)\n",
+ " [O]OCC=O(164)\n",
+ " COO[C]=O(165)\n",
+ " [O]CC[O](166)\n",
+ " [CH2]OC[O](167)\n",
+ " [CH2]OO[CH2](168)\n",
+ " C1COO1(169)\n",
+ " [CH2]OC(170)\n",
+ " [CH2]OCC(171)\n",
+ " CCC[O](172)\n",
+ " [CH2]OC=O(173)\n",
+ " [O]CC=O(174)\n",
+ " CC([O])C[O](175)\n",
+ " C[CH]OC[O](176)\n",
+ " [CH2]OC(C)[O](177)\n",
+ " [CH2]OO[CH]C(178)\n",
+ " CC1COO1(179)\n",
+ " C=COOC(180)\n",
+ " C=COCO(181)\n",
+ " [O]CO(182)\n",
+ " [CH2]CC[O](183)\n",
+ " [CH2]CO[CH2](184)\n",
+ " C1COC1(185)\n",
+ " [CH2]O[CH]C(186)\n",
+ " C[CH]C[O](187)\n",
+ " [CH2]OOOC(188)\n",
+ " COOC[O](189)\n",
+ " C[CH]OC(190)\n",
+ " CC(C)[O](191)\n",
+ " COOC(192)\n",
+ " CCCC(193)\n",
+ " C[CH]OCC(194)\n",
+ " CCC(C)[O](195)\n",
+ " [CH2]CCC(196)\n",
+ " C[CH]CC(197)\n",
+ " CCOOC(198)\n",
+ " CCOC(199)\n",
+ " CCCO(200)\n",
+ " C[CH]OC=O(201)\n",
+ " CC([O])C=O(202)\n",
+ " C[CH]C=O(203)\n",
+ " COOC=O(204)\n",
+ " CC([O])C(C)[O](205)\n",
+ " C[CH]OC(C)[O](206)\n",
+ " C[CH]OO[CH]C(207)\n",
+ " CC1OOC1C(208)\n",
+ " C=COOCC(209)\n",
+ " C=COC(C)O(210)\n",
+ " CC([O])O(211)\n",
+ " [CH2]CC(C)[O](212)\n",
+ " [CH2]CO[CH]C(213)\n",
+ " CC1CCO1(214)\n",
+ " C=COCC(215)\n",
+ " C[CH]O[CH]C(216)\n",
+ " C[CH]C(C)[O](217)\n",
+ " C[CH]OOOC(218)\n",
+ " COOC(C)[O](219)\n",
+ " [CH2]CO(220)\n",
+ " COOO(221)\n",
+ " [CH2]CC[CH2](222)\n",
+ " [CH2]C[CH]C(223)\n",
+ " [CH2]COOC(224)\n",
+ " C[CH]OOC(225)\n",
+ " COOOOC(226)\n",
+ " O=C[O][Pt](227)\n",
+ " O[C]#[Pt](228)\n",
+ " O[CH]=[Pt](229)\n",
+ " CC(=O)[O][Pt](230)\n",
+ " CO[C](=O)[Pt](231)\n",
+ " O=C(O)[O][Pt](232)\n",
+ " O=[C]([Pt])OO(233)\n",
+ " O=CC(=O)[O][Pt](234)\n",
+ " O=CO[C](=O)[Pt](235)\n",
+ " O=C=C=O(236)\n",
+ " O=C=C=O.[Pt](237)\n",
+ " C=C=O(238)\n",
+ " C=C=O.[Pt](239)\n",
+ " O=C=[CH][Pt](240)\n",
+ " O=C=[C]=[Pt](241)\n",
+ " OO[C]#[Pt](242)\n",
+ " O=C[C](=O)[Pt](243)\n",
+ " C[C]#[Pt](244)\n",
+ " O=O.[Pt](245)\n",
+ " O[O][Pt](246)\n",
+ " C=[C]=[Pt](247)\n",
+ " O=C[CH]=[Pt](248)\n",
+ " O=C[C]#[Pt](249)\n",
+ " OO[CH]=[Pt](250)\n",
+ " O=CO.[Pt](251)\n",
+ " O=CC=O.[Pt](252)\n",
+ "Added 71 new core reactions\n",
+ " H(12) + CH3(10) <=> CH4(2)\n",
+ " CH3(10) + CH3(10) <=> C2H6(8)\n",
+ " H(12) + C2H5(13) <=> C2H6(8)\n",
+ " H2(6) + CO(7) <=> CH2O(9)\n",
+ " H(12) + HCO(15) <=> CH2O(9)\n",
+ " CH3(10) + C2H5(13) <=> C3H8(11)\n",
+ " H(12) + CH3CH(19) <=> C2H5(13)\n",
+ " H(12) + C2H4(18) <=> C2H5(13)\n",
+ " OH(17) + CH3(10) <=> CH3OH(14)\n",
+ " H(12) + CO(7) <=> HCO(15)\n",
+ " CO(7) + CH4(2) <=> CH3CHO(16)\n",
+ " HCO(15) + CH3(10) <=> CH3CHO(16)\n",
+ " CH3OO(20) <=> O2(3) + CH3(10)\n",
+ " CH3OO(20) <=> OH(17) + CH2O(9)\n",
+ " X(1) + CH4(2) <=> CH4X(24)\n",
+ " X(1) + H2(6) <=> H2X(30)\n",
+ " X(1) + X(1) + CO2(4) <=> OX(25) + COX(23)\n",
+ " X(1) + X(1) + H2O(5) <=> HX(21) + OHX(31)\n",
+ " X(1) + X(1) + C2H6(8) <=> CH3X(27) + CH3X(27)\n",
+ " X(1) + X(1) + CH2O(9) <=> HX(21) + CHOX(33)\n",
+ " X(1) + X(1) + CH2O(9) <=> OX(25) + CH2X(26)\n",
+ " X(1) + X(1) + CH3OH(14) <=> OHX(31) + CH3X(27)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + X(1) + C2H4(18) <=> CH2X(26) + CH2X(26)\n",
+ " X(1) + CH4X(24) <=> HX(21) + CH3X(27)\n",
+ " X(1) + CHOX(33) <=> OX(25) + CHX(28)\n",
+ " HCO(15) + CH3(10) <=> CO(7) + CH4(2)\n",
+ " H(12) + CH4(2) <=> H2(6) + CH3(10)\n",
+ " CH3(10) + C2H6(8) <=> CH4(2) + C2H5(13)\n",
+ " HCO(15) + CH4(2) <=> CH2O(9) + CH3(10)\n",
+ " OH(17) + CH4(2) <=> H2O(5) + CH3(10)\n",
+ " CH3(10) + C2H5(13) <=> CH4(2) + C2H4(18)\n",
+ " CH4(2) + CH3CH(19) <=> CH3(10) + C2H5(13)\n",
+ " OH(17) + HCO(15) <=> H2O(5) + CO(7)\n",
+ " OH(17) + C2H6(8) <=> H2O(5) + C2H5(13)\n",
+ " OH(17) + CH2O(9) <=> H2O(5) + HCO(15)\n",
+ " OH(17) + C2H5(13) <=> H2O(5) + C2H4(18)\n",
+ " OH(17) + C2H5(13) <=> H2O(5) + CH3CH(19)\n",
+ " H(12) + HCO(15) <=> H2(6) + CO(7)\n",
+ " H(12) + C2H6(8) <=> H2(6) + C2H5(13)\n",
+ " H2(6) + HCO(15) <=> H(12) + CH2O(9)\n",
+ " H(12) + C2H5(13) <=> H2(6) + C2H4(18)\n",
+ " H2(6) + CH3CH(19) <=> H(12) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CO(7) + C2H6(8)\n",
+ " HCO(15) + HCO(15) <=> CO(7) + CH2O(9)\n",
+ " HCO(15) + CH3CH(19) <=> CO(7) + C2H5(13)\n",
+ " HCO(15) + C2H6(8) <=> CH2O(9) + C2H5(13)\n",
+ " C2H5(13) + C2H5(13) <=> C2H4(18) + C2H6(8)\n",
+ " CH3CH(19) + C2H6(8) <=> C2H5(13) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CH2O(9) + C2H4(18)\n",
+ " CH2O(9) + CH3CH(19) <=> HCO(15) + C2H5(13)\n",
+ " CH3CH(19) + C2H5(13) <=> C2H4(18) + C2H5(13)\n",
+ " H2X(30) + CHX(28) <=> HX(21) + CH2X(26)\n",
+ " H2X(30) + CH2X(26) <=> HX(21) + CH3X(27)\n",
+ " H2X(30) + CX(29) <=> HX(21) + CHX(28)\n",
+ " OX(25) + H2X(30) <=> HX(21) + OHX(31)\n",
+ " H2X(30) + COX(23) <=> HX(21) + CHOX(33)\n",
+ " COX(23) + CH4X(24) <=> CHOX(33) + CH3X(27)\n",
+ " CHX(28) + CHOX(33) <=> COX(23) + CH2X(26)\n",
+ " CHOX(33) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + CHOX(33) <=> COX(23) + CHX(28)\n",
+ " OX(25) + CHOX(33) <=> OHX(31) + COX(23)\n",
+ " OHX(31) + CHOX(33) <=> H2OX(32) + COX(23)\n",
+ " OX(25) + CH4X(24) <=> OHX(31) + CH3X(27)\n",
+ " CH2X(26) + CH4X(24) <=> CH3X(27) + CH3X(27)\n",
+ " CHX(28) + CH4X(24) <=> CH2X(26) + CH3X(27)\n",
+ " CX(29) + CH4X(24) <=> CHX(28) + CH3X(27)\n",
+ " OHX(31) + CH4X(24) <=> H2OX(32) + CH3X(27)\n",
+ " CH2X(26) + CH2X(26) <=> CHX(28) + CH3X(27)\n",
+ " CX(29) + CH3X(27) <=> CHX(28) + CH2X(26)\n",
+ " CX(29) + CH2X(26) <=> CHX(28) + CHX(28)\n",
+ "Created 566 new edge reactions\n",
+ " H2(6) + [CH2](52) <=> CH4(2)\n",
+ " [CH2](52) + CH4(2) <=> C2H6(8)\n",
+ " H(12) + CH2(42) <=> CH3(10)\n",
+ " [CH2](52) + C2H6(8) <=> C3H8(11)\n",
+ " [CH2](52) + C2H6(8) <=> C3H8(11)\n",
+ " H(12) + C[CH]C(53) <=> C3H8(11)\n",
+ " H(12) + [CH2]CC(54) <=> C3H8(11)\n",
+ " CH2(42) + CH3(10) <=> C2H5(13)\n",
+ " H(12) + [CH2][CH2](55) <=> C2H5(13)\n",
+ " H2O(5) + [CH2](52) <=> CH3OH(14)\n",
+ " H(12) + CH3O(44) <=> CH3OH(14)\n",
+ " H(12) + CH2OH(47) <=> CH3OH(14)\n",
+ " H(12) + CO(35) <=> HCO(15)\n",
+ " [CH2]C[O](56) <=> CH3CHO(16)\n",
+ " C=CO(57) <=> CH3CHO(16)\n",
+ " H(12) + [CH2]C=O(58) <=> CH3CHO(16)\n",
+ " H(12) + C[C]=O(59) <=> CH3CHO(16)\n",
+ " H(12) + [CH]=C(60) <=> C2H4(18)\n",
+ " [CH]C(61) <=> C2H4(18)\n",
+ " H(12) + [CH][CH2](62) <=> CH3CH(19)\n",
+ " HO2(50) + [CH2](52) <=> CH3OO(20)\n",
+ " O(34) + CH3O(44) <=> CH3OO(20)\n",
+ " H(12) + [CH2]O[O](63) <=> CH3OO(20)\n",
+ " X(1) + X(1) + C2H6(8) <=> HX(21) + C[CH2][Pt](64)\n",
+ " X(1) + C2H6(8) <=> CC.[Pt](65)\n",
+ " X(1) + X(1) + C3H8(11) <=> CH3X(27) + C[CH2][Pt](64)\n",
+ " X(1) + X(1) + C3H8(11) <=> HX(21) + C[CH](C)[Pt](66)\n",
+ " X(1) + X(1) + C3H8(11) <=> HX(21) + CC[CH2][Pt](67)\n",
+ " X(1) + C3H8(11) <=> CCC.[Pt](68)\n",
+ " X(1) + C2H5(13) <=> C[CH2][Pt](64)\n",
+ " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH3O_X(45)\n",
+ " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH2OH_X(48)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> HX(21) + O=C[CH2][Pt](69)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> HX(21) + C[C](=O)[Pt](70)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> OX(25) + C[CH]=[Pt](71)\n",
+ " X(1) + CH3CHO(16) <=> CC=O.[Pt](72)\n",
+ " X(1) + X(1) + C2H4(18) <=> HX(21) + C=[CH][Pt](73)\n",
+ " X(1) + C2H4(18) <=> C=C.[Pt](74)\n",
+ " X(1) + CH3OO(20) <=> CO[O][Pt](75)\n",
+ " O2(3) + CH4(2) <=> HO2(50) + CH3(10)\n",
+ " CO2(4) + CH4(2) <=> COC=O(76)\n",
+ " CO2(4) + CH4(2) <=> CC(=O)O(77)\n",
+ " COOH(36) + CH3(10) <=> CO2(4) + CH4(2)\n",
+ " HCOO(38) + CH3(10) <=> CO2(4) + CH4(2)\n",
+ " CH3(10) + CH2OH(47) <=> CH2O(9) + CH4(2)\n",
+ " CH3(10) + CH3O(44) <=> CH2O(9) + CH4(2)\n",
+ " [CH]O(78) + CH3(10) <=> HCO(15) + CH4(2)\n",
+ " CH3(10) + C[CH]O(79) <=> CH4(2) + CH3CHO(16)\n",
+ " CH3(10) + CC[O](80) <=> CH4(2) + CH3CHO(16)\n",
+ " CH3OO(20) + CH4(2) <=> CH3(10) + COO(81)\n",
+ " O2(3) + CO2(4) <=> [O]OO[C]=O(82)\n",
+ " O2(3) + CO2(4) <=> [O]OC([O])=O(83)\n",
+ " O2(3) + C2H6(8) <=> HO2(50) + C2H5(13)\n",
+ " O2(3) + CH2O(9) <=> HO2(50) + HCO(15)\n",
+ " O2(3) + CH2O(9) <=> [CH2]OO[O](84)\n",
+ " O2(3) + CH2O(9) <=> [O]CO[O](85)\n",
+ " HO2(50) + CH2(42) <=> O2(3) + CH3(10)\n",
+ " O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53)\n",
+ " HO2(50) + [CH2]CC(54) <=> O2(3) + C3H8(11)\n",
+ " O2(3) + C2H5(13) <=> HO2(50) + C2H4(18)\n",
+ " HO2(50) + CH3CH(19) <=> O2(3) + C2H5(13)\n",
+ " CCO[O](86) <=> O2(3) + C2H5(13)\n",
+ " HO2(50) + CH3O(44) <=> O2(3) + CH3OH(14)\n",
+ " O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47)\n",
+ " O2(3) + HCO(15) <=> HO2(50) + CO(7)\n",
+ " HO2(50) + CO(35) <=> O2(3) + HCO(15)\n",
+ " O2(3) + HCO(15) <=> [O]OC=O(87)\n",
+ " HO2(50) + [CH2]C=O(58) <=> O2(3) + CH3CHO(16)\n",
+ " O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59)\n",
+ " O2(3) + CH3CHO(16) <=> C[CH]OO[O](88)\n",
+ " O2(3) + CH3CHO(16) <=> CC([O])O[O](89)\n",
+ " O2(3) + OH(17) <=> O=O(90) + OH(17)\n",
+ " O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60)\n",
+ " O2(3) + C2H4(18) <=> [CH2]CO[O](91)\n",
+ " O2(3) + CH3CH(19) <=> C[CH]O[O](92)\n",
+ " O2(3) + CH3CH(19) <=> HO2(50) + [CH]=C(60)\n",
+ " HO2(50) + [CH][CH2](62) <=> O2(3) + CH3CH(19)\n",
+ " O2(3) + CH3OO(20) <=> HO2(50) + [CH2]O[O](63)\n",
+ " O2(3) + CH3OO(20) <=> COOO[O](93)\n",
+ " [O]C(=O)C([O])=O(94) <=> CO2(4) + CO2(4)\n",
+ " [O]C(=O)O[C]=O(95) <=> CO2(4) + CO2(4)\n",
+ " O=[C]OO[C]=O(96) <=> CO2(4) + CO2(4)\n",
+ " CO2(4) + CO2(4) <=> O=C1OOC1=O(97)\n",
+ " OH(17) + COOH(36) <=> H2O(5) + CO2(4)\n",
+ " OH(17) + HCOO(38) <=> H2O(5) + CO2(4)\n",
+ " H2(6) + CO2(4) <=> O=CO(98)\n",
+ " H(12) + COOH(36) <=> H2(6) + CO2(4)\n",
+ " H(12) + HCOO(38) <=> H2(6) + CO2(4)\n",
+ " CO2(4) + C2H6(8) <=> COC(C)=O(99)\n",
+ " CO2(4) + C2H6(8) <=> CCOC=O(100)\n",
+ " CO2(4) + C2H6(8) <=> CCC(=O)O(101)\n",
+ " COOH(36) + C2H5(13) <=> CO2(4) + C2H6(8)\n",
+ " HCOO(38) + C2H5(13) <=> CO2(4) + C2H6(8)\n",
+ " [O]CC([O])=O(102) <=> CO2(4) + CH2O(9)\n",
+ " [CH2]OC([O])=O(103) <=> CO2(4) + CH2O(9)\n",
+ " [O]CO[C]=O(104) <=> CO2(4) + CH2O(9)\n",
+ " [CH2]OO[C]=O(105) <=> CO2(4) + CH2O(9)\n",
+ " CO2(4) + CH2O(9) <=> O=C1COO1(106)\n",
+ " HCO(15) + COOH(36) <=> CO2(4) + CH2O(9)\n",
+ " HCO(15) + HCOO(38) <=> CO2(4) + CH2O(9)\n",
+ " COOH(36) + CH2(42) <=> CO2(4) + CH3(10)\n",
+ " HCOO(38) + CH2(42) <=> CO2(4) + CH3(10)\n",
+ " CO2(4) + CH3(10) <=> CO[C]=O(107)\n",
+ " CO2(4) + CH3(10) <=> CC([O])=O(108)\n",
+ " CO2(4) + C3H8(11) <=> CCOC(C)=O(109)\n",
+ " CO2(4) + C3H8(11) <=> CC(C)OC=O(110)\n",
+ " CO2(4) + C3H8(11) <=> CCC(=O)OC(111)\n",
+ " CO2(4) + C3H8(11) <=> CCCOC=O(112)\n",
+ " CO2(4) + C3H8(11) <=> CC(C)C(=O)O(113)\n",
+ " CO2(4) + C3H8(11) <=> CCCC(=O)O(114)\n",
+ " COOH(36) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n",
+ " COOH(36) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n",
+ " HCOO(38) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n",
+ " HCOO(38) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n",
+ " H(12) + CO2(4) <=> COOH(36)\n",
+ " H(12) + CO2(4) <=> HCOO(38)\n",
+ " CO2(4) + C2H5(13) <=> [CH2]COC=O(115)\n",
+ " CO2(4) + C2H5(13) <=> [CH2]CC(=O)O(116)\n",
+ " COOH(36) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n",
+ " COOH(36) + CH3CH(19) <=> CO2(4) + C2H5(13)\n",
+ " HCOO(38) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n",
+ " HCOO(38) + CH3CH(19) <=> CO2(4) + C2H5(13)\n",
+ " CO2(4) + C2H5(13) <=> CCO[C]=O(117)\n",
+ " CO2(4) + C2H5(13) <=> CCC([O])=O(118)\n",
+ " CO2(4) + CH3OH(14) <=> O=COCO(119)\n",
+ " CO2(4) + CH3OH(14) <=> O=C(O)CO(120)\n",
+ " COOH(36) + CH3O(44) <=> CO2(4) + CH3OH(14)\n",
+ " COOH(36) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n",
+ " HCOO(38) + CH3O(44) <=> CO2(4) + CH3OH(14)\n",
+ " HCOO(38) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n",
+ " CO(35) + COOH(36) <=> CO2(4) + HCO(15)\n",
+ " CO(35) + HCOO(38) <=> CO2(4) + HCO(15)\n",
+ " CO2(4) + HCO(15) <=> O=[C]OC=O(121)\n",
+ " CO2(4) + HCO(15) <=> [O]C(=O)C=O(122)\n",
+ " CO2(4) + CH3CHO(16) <=> O=CCOC=O(123)\n",
+ " CO2(4) + CH3CHO(16) <=> O=CCC(=O)O(124)\n",
+ " CC([O])C([O])=O(125) <=> CO2(4) + CH3CHO(16)\n",
+ " C[CH]OC([O])=O(126) <=> CO2(4) + CH3CHO(16)\n",
+ " CC([O])O[C]=O(127) <=> CO2(4) + CH3CHO(16)\n",
+ " C[CH]OO[C]=O(128) <=> CO2(4) + CH3CHO(16)\n",
+ " CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129)\n",
+ " COOH(36) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n",
+ " COOH(36) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n",
+ " HCOO(38) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n",
+ " HCOO(38) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n",
+ " C=COOC=O(130) <=> CO2(4) + CH3CHO(16)\n",
+ " C=COC(=O)O(131) <=> CO2(4) + CH3CHO(16)\n",
+ " O(34) + COOH(36) <=> OH(17) + CO2(4)\n",
+ " O(34) + HCOO(38) <=> OH(17) + CO2(4)\n",
+ " OH(17) + CO2(4) <=> [O]C(=O)O(132)\n",
+ " CO2(4) + C2H4(18) <=> C=COC=O(133)\n",
+ " CO2(4) + C2H4(18) <=> C=CC(=O)O(134)\n",
+ " [CH2]CC([O])=O(135) <=> CO2(4) + C2H4(18)\n",
+ " [CH2]CO[C]=O(136) <=> CO2(4) + C2H4(18)\n",
+ " CO2(4) + C2H4(18) <=> O=C1CCO1(137)\n",
+ " COOH(36) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n",
+ " HCOO(38) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n",
+ " CO2(4) + CH3CH(19) <=> [CH]COC=O(138)\n",
+ " CO2(4) + CH3CH(19) <=> [CH]CC(=O)O(139)\n",
+ " COOH(36) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n",
+ " COOH(36) + [C]C(140) <=> CO2(4) + CH3CH(19)\n",
+ " HCOO(38) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n",
+ " HCOO(38) + [C]C(140) <=> CO2(4) + CH3CH(19)\n",
+ " CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141)\n",
+ " CO2(4) + CH3CH(19) <=> CC=C([O])[O](142)\n",
+ " CO2(4) + CH3OO(20) <=> [O]OCOC=O(143)\n",
+ " CO2(4) + CH3OO(20) <=> [O]OCC(=O)O(144)\n",
+ " COOH(36) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n",
+ " HCOO(38) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n",
+ " CO2(4) + CH3OO(20) <=> COOO[C]=O(145)\n",
+ " CO2(4) + CH3OO(20) <=> COOC([O])=O(146)\n",
+ " H2O(5) + CO(7) <=> O=CO(98)\n",
+ " OH(17) + CH2OH(47) <=> H2O(5) + CH2O(9)\n",
+ " OH(17) + CH3O(44) <=> H2O(5) + CH2O(9)\n",
+ " OH(17) + [CH]O(78) <=> H2O(5) + HCO(15)\n",
+ " OH(17) + C[CH]O(79) <=> H2O(5) + CH3CHO(16)\n",
+ " OH(17) + CC[O](80) <=> H2O(5) + CH3CHO(16)\n",
+ " H2O(5) + C2H4(18) <=> CCO(147)\n",
+ " OH(17) + COO(81) <=> H2O(5) + CH3OO(20)\n",
+ " H(12) + CH2OH(47) <=> H2(6) + CH2O(9)\n",
+ " H(12) + CH3O(44) <=> H2(6) + CH2O(9)\n",
+ " H(12) + [CH]O(78) <=> H2(6) + HCO(15)\n",
+ " H(12) + C[CH]O(79) <=> H2(6) + CH3CHO(16)\n",
+ " H(12) + CC[O](80) <=> H2(6) + CH3CHO(16)\n",
+ " H(12) + COO(81) <=> H2(6) + CH3OO(20)\n",
+ " CO(7) + C2H6(8) <=> CCC=O(148)\n",
+ " CO(7) + C2H6(8) <=> CC(C)=O(149)\n",
+ " CO(7) + CH2O(9) <=> O=CC=O(150)\n",
+ " HCO(15) + CH2(42) <=> CO(7) + CH3(10)\n",
+ " CO(7) + CH3(10) <=> C[C]=O(59)\n",
+ " CO(7) + C3H8(11) <=> CC(C)C=O(151)\n",
+ " CO(7) + C3H8(11) <=> CCCC=O(152)\n",
+ " CO(7) + C3H8(11) <=> CCC(C)=O(153)\n",
+ " HCO(15) + C[CH]C(53) <=> CO(7) + C3H8(11)\n",
+ " HCO(15) + [CH2]CC(54) <=> CO(7) + C3H8(11)\n",
+ " CO(7) + C2H5(13) <=> [CH2]CC=O(154)\n",
+ " HCO(15) + [CH2][CH2](55) <=> CO(7) + C2H5(13)\n",
+ " CC[C]=O(155) <=> CO(7) + C2H5(13)\n",
+ " CO(7) + CH3OH(14) <=> COC=O(76)\n",
+ " CO(7) + CH3OH(14) <=> O=CCO(156)\n",
+ " HCO(15) + CH3O(44) <=> CO(7) + CH3OH(14)\n",
+ " HCO(15) + CH2OH(47) <=> CO(7) + CH3OH(14)\n",
+ " CO(35) + HCO(15) <=> CO(7) + HCO(15)\n",
+ " CO(7) + HCO(15) <=> O=[C]C=O(157)\n",
+ " CO(7) + CH3CHO(16) <=> O=CCC=O(158)\n",
+ " CO(7) + CH3CHO(16) <=> CC(=O)C=O(159)\n",
+ " HCO(15) + [CH2]C=O(58) <=> CO(7) + CH3CHO(16)\n",
+ " HCO(15) + C[C]=O(59) <=> CO(7) + CH3CHO(16)\n",
+ " [CH-]=[O+]OC=C(160) <=> CO(7) + CH3CHO(16)\n",
+ " C=C[O+]=[C-]O(161) <=> CO(7) + CH3CHO(16)\n",
+ " O(34) + HCO(15) <=> OH(17) + CO(7)\n",
+ " OH(17) + CO(7) <=> COOH(36)\n",
+ " CO(7) + C2H4(18) <=> C=CC=O(162)\n",
+ " HCO(15) + [CH]=C(60) <=> CO(7) + C2H4(18)\n",
+ " CO(7) + CH3CH(19) <=> [CH]CC=O(163)\n",
+ " HCO(15) + [CH][CH2](62) <=> CO(7) + CH3CH(19)\n",
+ " HCO(15) + [C]C(140) <=> CO(7) + CH3CH(19)\n",
+ " CO(7) + CH3OO(20) <=> [O]OCC=O(164)\n",
+ " HCO(15) + [CH2]O[O](63) <=> CO(7) + CH3OO(20)\n",
+ " CO(7) + CH3OO(20) <=> COO[C]=O(165)\n",
+ " CH2OH(47) + C2H5(13) <=> CH2O(9) + C2H6(8)\n",
+ " CH3O(44) + C2H5(13) <=> CH2O(9) + C2H6(8)\n",
+ " [CH]O(78) + C2H5(13) <=> HCO(15) + C2H6(8)\n",
+ " C2H5(13) + C[CH]O(79) <=> CH3CHO(16) + C2H6(8)\n",
+ " C2H5(13) + CC[O](80) <=> CH3CHO(16) + C2H6(8)\n",
+ " CH3OO(20) + C2H6(8) <=> COO(81) + C2H5(13)\n",
+ " [O]CC[O](166) <=> CH2O(9) + CH2O(9)\n",
+ " [CH2]OC[O](167) <=> CH2O(9) + CH2O(9)\n",
+ " [CH2]OO[CH2](168) <=> CH2O(9) + CH2O(9)\n",
+ " CH2O(9) + CH2O(9) <=> C1COO1(169)\n",
+ " HCO(15) + CH2OH(47) <=> CH2O(9) + CH2O(9)\n",
+ " HCO(15) + CH3O(44) <=> CH2O(9) + CH2O(9)\n",
+ " CH2(42) + CH2OH(47) <=> CH2O(9) + CH3(10)\n",
+ " CH2(42) + CH3O(44) <=> CH2O(9) + CH3(10)\n",
+ " CH2O(9) + CH3(10) <=> [CH2]OC(170)\n",
+ " CH2O(9) + CH3(10) <=> CC[O](80)\n",
+ " CH2OH(47) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n",
+ " CH2OH(47) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n",
+ " CH3O(44) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n",
+ " CH3O(44) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n",
+ " H(12) + CH2O(9) <=> CH2OH(47)\n",
+ " H(12) + CH2O(9) <=> CH3O(44)\n",
+ " CH2OH(47) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n",
+ " CH2OH(47) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n",
+ " CH3O(44) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n",
+ " CH3O(44) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n",
+ " CH2O(9) + C2H5(13) <=> [CH2]OCC(171)\n",
+ " CH2O(9) + C2H5(13) <=> CCC[O](172)\n",
+ " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " CH2OH(47) + CH2OH(47) <=> CH2O(9) + CH3OH(14)\n",
+ " CH3O(44) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " HCO(15) + [CH]O(78) <=> HCO(15) + CH2O(9)\n",
+ " CO(35) + CH2OH(47) <=> HCO(15) + CH2O(9)\n",
+ " CO(35) + CH3O(44) <=> HCO(15) + CH2O(9)\n",
+ " HCO(15) + CH2O(9) <=> [CH2]OC=O(173)\n",
+ " HCO(15) + CH2O(9) <=> [O]CC=O(174)\n",
+ " CC([O])C[O](175) <=> CH2O(9) + CH3CHO(16)\n",
+ " C[CH]OC[O](176) <=> CH2O(9) + CH3CHO(16)\n",
+ " [CH2]OC(C)[O](177) <=> CH2O(9) + CH3CHO(16)\n",
+ " [CH2]OO[CH]C(178) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2O(9) + CH3CHO(16) <=> CC1COO1(179)\n",
+ " HCO(15) + C[CH]O(79) <=> CH2O(9) + CH3CHO(16)\n",
+ " HCO(15) + CC[O](80) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2OH(47) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2OH(47) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH3O(44) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH3O(44) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n",
+ " C=COOC(180) <=> CH2O(9) + CH3CHO(16)\n",
+ " C=COCO(181) <=> CH2O(9) + CH3CHO(16)\n",
+ " O(34) + CH2OH(47) <=> OH(17) + CH2O(9)\n",
+ " O(34) + CH3O(44) <=> OH(17) + CH2O(9)\n",
+ " OH(17) + CH2O(9) <=> [O]CO(182)\n",
+ " [CH2]CC[O](183) <=> CH2O(9) + C2H4(18)\n",
+ " [CH2]CO[CH2](184) <=> CH2O(9) + C2H4(18)\n",
+ " CH2O(9) + C2H4(18) <=> C1COC1(185)\n",
+ " CH2OH(47) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n",
+ " CH3O(44) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n",
+ " CH2OH(47) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n",
+ " CH2OH(47) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n",
+ " CH3O(44) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n",
+ " CH3O(44) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n",
+ " CH2O(9) + CH3CH(19) <=> [CH2]O[CH]C(186)\n",
+ " CH2O(9) + CH3CH(19) <=> C[CH]C[O](187)\n",
+ " [CH2]O[O](63) + CH2OH(47) <=> CH2O(9) + CH3OO(20)\n",
+ " [CH2]O[O](63) + CH3O(44) <=> CH2O(9) + CH3OO(20)\n",
+ " HCO(15) + COO(81) <=> CH2O(9) + CH3OO(20)\n",
+ " CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188)\n",
+ " CH2O(9) + CH3OO(20) <=> COOC[O](189)\n",
+ " CH2(42) + CH4(2) <=> CH3(10) + CH3(10)\n",
+ " CH4(2) + C[CH]C(53) <=> CH3(10) + C3H8(11)\n",
+ " CH3(10) + C3H8(11) <=> CH4(2) + [CH2]CC(54)\n",
+ " H2(6) + CH2(42) <=> H(12) + CH3(10)\n",
+ " CH2(42) + C2H6(8) <=> CH3(10) + C2H5(13)\n",
+ " CH3O(44) + CH4(2) <=> CH3(10) + CH3OH(14)\n",
+ " CH3(10) + CH3OH(14) <=> CH2OH(47) + CH4(2)\n",
+ " CH2(42) + [CH]O(78) <=> HCO(15) + CH3(10)\n",
+ " CH2(42) + CH2O(9) <=> HCO(15) + CH3(10)\n",
+ " CO(35) + CH4(2) <=> HCO(15) + CH3(10)\n",
+ " CH2(42) + C[CH]O(79) <=> CH3(10) + CH3CHO(16)\n",
+ " CH2(42) + CC[O](80) <=> CH3(10) + CH3CHO(16)\n",
+ " CH3(10) + CH3CHO(16) <=> CH4(2) + [CH2]C=O(58)\n",
+ " CH3(10) + CH3CHO(16) <=> CH4(2) + C[C]=O(59)\n",
+ " CH3(10) + CH3CHO(16) <=> C[CH]OC(190)\n",
+ " CH3(10) + CH3CHO(16) <=> CC(C)[O](191)\n",
+ " OH(17) + CH3(10) <=> H2O(5) + CH2(42)\n",
+ " O(34) + CH4(2) <=> OH(17) + CH3(10)\n",
+ " CH2(42) + C2H5(13) <=> CH3(10) + C2H4(18)\n",
+ " CH4(2) + [CH]=C(60) <=> CH3(10) + C2H4(18)\n",
+ " CH3(10) + C2H4(18) <=> [CH2]CC(54)\n",
+ " CH3(10) + CH3CH(19) <=> C[CH]C(53)\n",
+ " CH3(10) + CH3CH(19) <=> CH4(2) + [CH]=C(60)\n",
+ " CH2(42) + C2H5(13) <=> CH3(10) + CH3CH(19)\n",
+ " CH3(10) + CH3CH(19) <=> CH4(2) + [CH][CH2](62)\n",
+ " CH2(42) + COO(81) <=> CH3(10) + CH3OO(20)\n",
+ " CH3(10) + CH3OO(20) <=> [CH2]O[O](63) + CH4(2)\n",
+ " CH3(10) + CH3OO(20) <=> COOC(192)\n",
+ " H2(6) + C[CH]C(53) <=> H(12) + C3H8(11)\n",
+ " H(12) + C3H8(11) <=> H2(6) + [CH2]CC(54)\n",
+ " C2H6(8) + C[CH]C(53) <=> C2H5(13) + C3H8(11)\n",
+ " C2H6(8) + [CH2]CC(54) <=> C2H5(13) + C3H8(11)\n",
+ " [CH]O(78) + C[CH]C(53) <=> HCO(15) + C3H8(11)\n",
+ " [CH]O(78) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n",
+ " HCO(15) + C3H8(11) <=> CH2O(9) + C[CH]C(53)\n",
+ " CH2O(9) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n",
+ " C[CH]O(79) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n",
+ " CC[O](80) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n",
+ " C[CH]O(79) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n",
+ " CC[O](80) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n",
+ " OH(17) + C3H8(11) <=> H2O(5) + C[CH]C(53)\n",
+ " OH(17) + C3H8(11) <=> H2O(5) + [CH2]CC(54)\n",
+ " C2H5(13) + C[CH]C(53) <=> C2H4(18) + C3H8(11)\n",
+ " C2H5(13) + [CH2]CC(54) <=> C2H4(18) + C3H8(11)\n",
+ " CH3CH(19) + C3H8(11) <=> C2H5(13) + C[CH]C(53)\n",
+ " CH3CH(19) + C3H8(11) <=> C2H5(13) + [CH2]CC(54)\n",
+ " COO(81) + C[CH]C(53) <=> CH3OO(20) + C3H8(11)\n",
+ " COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11)\n",
+ " H(12) + CH3OH(14) <=> H2(6) + CH3O(44)\n",
+ " H(12) + CH3OH(14) <=> H2(6) + CH2OH(47)\n",
+ " H2(6) + CO(35) <=> H(12) + HCO(15)\n",
+ " H(12) + CH3CHO(16) <=> H2(6) + [CH2]C=O(58)\n",
+ " H(12) + CH3CHO(16) <=> H2(6) + C[C]=O(59)\n",
+ " H(12) + CH3CHO(16) <=> C[CH]O(79)\n",
+ " H(12) + CH3CHO(16) <=> CC[O](80)\n",
+ " H(12) + C2H4(18) <=> H2(6) + [CH]=C(60)\n",
+ " H(12) + CH3CH(19) <=> H2(6) + [CH]=C(60)\n",
+ " H(12) + CH3CH(19) <=> H2(6) + [CH][CH2](62)\n",
+ " H(12) + CH3OO(20) <=> H2(6) + [CH2]O[O](63)\n",
+ " H(12) + CH3OO(20) <=> COO(81)\n",
+ " C2H5(13) + C2H5(13) <=> CCCC(193)\n",
+ " CH3OH(14) + C2H5(13) <=> CH3O(44) + C2H6(8)\n",
+ " CH3OH(14) + C2H5(13) <=> CH2OH(47) + C2H6(8)\n",
+ " [CH]O(78) + [CH2][CH2](55) <=> HCO(15) + C2H5(13)\n",
+ " [CH]O(78) + CH3CH(19) <=> HCO(15) + C2H5(13)\n",
+ " CO(35) + C2H6(8) <=> HCO(15) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CCC=O(148)\n",
+ " [CH2][CH2](55) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n",
+ " [CH2][CH2](55) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CH(19) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CH(19) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CHO(16) + C2H5(13) <=> [CH2]C=O(58) + C2H6(8)\n",
+ " C[C]=O(59) + C2H6(8) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CHO(16) + C2H5(13) <=> C[CH]OCC(194)\n",
+ " CH3CHO(16) + C2H5(13) <=> CCC(C)[O](195)\n",
+ " O(34) + C2H6(8) <=> OH(17) + C2H5(13)\n",
+ " OH(17) + C2H5(13) <=> CCO(147)\n",
+ " [CH2][CH2](55) + C2H5(13) <=> C2H4(18) + C2H5(13)\n",
+ " [CH]=C(60) + C2H6(8) <=> C2H4(18) + C2H5(13)\n",
+ " C2H4(18) + C2H5(13) <=> [CH2]CCC(196)\n",
+ " CH3CH(19) + C2H5(13) <=> C[CH]CC(197)\n",
+ " CH3CH(19) + C2H5(13) <=> [CH]=C(60) + C2H6(8)\n",
+ " [CH][CH2](62) + C2H6(8) <=> CH3CH(19) + C2H5(13)\n",
+ " CH3OO(20) + C2H5(13) <=> COO(81) + C2H4(18)\n",
+ " COO(81) + CH3CH(19) <=> CH3OO(20) + C2H5(13)\n",
+ " [CH2]O[O](63) + C2H6(8) <=> CH3OO(20) + C2H5(13)\n",
+ " CH3OO(20) + C2H5(13) <=> CCOOC(198)\n",
+ " [CH]O(78) + CH3O(44) <=> HCO(15) + CH3OH(14)\n",
+ " [CH]O(78) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n",
+ " CH2O(9) + CH3O(44) <=> HCO(15) + CH3OH(14)\n",
+ " CH2O(9) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n",
+ " CH3O(44) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH3O(44) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH2OH(47) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH2OH(47) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n",
+ " OH(17) + CH3OH(14) <=> H2O(5) + CH3O(44)\n",
+ " OH(17) + CH3OH(14) <=> H2O(5) + CH2OH(47)\n",
+ " CH3OH(14) + C2H4(18) <=> CCOC(199)\n",
+ " CH3OH(14) + C2H4(18) <=> CCCO(200)\n",
+ " CH3O(44) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n",
+ " CH2OH(47) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n",
+ " CH3OH(14) + CH3CH(19) <=> CH3O(44) + C2H5(13)\n",
+ " CH3OH(14) + CH3CH(19) <=> CH2OH(47) + C2H5(13)\n",
+ " CH3O(44) + COO(81) <=> CH3OO(20) + CH3OH(14)\n",
+ " CH2OH(47) + COO(81) <=> CH3OO(20) + CH3OH(14)\n",
+ " CO(35) + [CH]O(78) <=> HCO(15) + HCO(15)\n",
+ " CO(35) + CH2O(9) <=> HCO(15) + HCO(15)\n",
+ " HCO(15) + HCO(15) <=> O=CC=O(150)\n",
+ " CO(35) + C[CH]O(79) <=> HCO(15) + CH3CHO(16)\n",
+ " CO(35) + CC[O](80) <=> HCO(15) + CH3CHO(16)\n",
+ " [CH]O(78) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n",
+ " [CH]O(78) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n",
+ " CH2O(9) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n",
+ " CH2O(9) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n",
+ " HCO(15) + CH3CHO(16) <=> C[CH]OC=O(201)\n",
+ " HCO(15) + CH3CHO(16) <=> CC([O])C=O(202)\n",
+ " O(34) + [CH]O(78) <=> OH(17) + HCO(15)\n",
+ " H2O(5) + CO(35) <=> OH(17) + HCO(15)\n",
+ " O(34) + CH2O(9) <=> OH(17) + HCO(15)\n",
+ " OH(17) + HCO(15) <=> O=CO(98)\n",
+ " CO(35) + C2H5(13) <=> HCO(15) + C2H4(18)\n",
+ " [CH]O(78) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n",
+ " CH2O(9) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n",
+ " HCO(15) + C2H4(18) <=> [CH2]CC=O(154)\n",
+ " HCO(15) + CH3CH(19) <=> C[CH]C=O(203)\n",
+ " HCO(15) + CH3CH(19) <=> CH2O(9) + [CH]=C(60)\n",
+ " [CH]O(78) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n",
+ " [CH]O(78) + [C]C(140) <=> HCO(15) + CH3CH(19)\n",
+ " CO(35) + C2H5(13) <=> HCO(15) + CH3CH(19)\n",
+ " CH2O(9) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n",
+ " HCO(15) + CH3OO(20) <=> CO(7) + COO(81)\n",
+ " [CH]O(78) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n",
+ " CO(35) + COO(81) <=> HCO(15) + CH3OO(20)\n",
+ " CH2O(9) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n",
+ " HCO(15) + CH3OO(20) <=> COOC=O(204)\n",
+ " CC([O])C(C)[O](205) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[CH]OC(C)[O](206) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[CH]OO[CH]C(207) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208)\n",
+ " [CH2]C=O(58) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " [CH2]C=O(58) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[C]=O(59) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[C]=O(59) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C=COOCC(209) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C=COC(C)O(210) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " O(34) + C[CH]O(79) <=> OH(17) + CH3CHO(16)\n",
+ " O(34) + CC[O](80) <=> OH(17) + CH3CHO(16)\n",
+ " OH(17) + CH3CHO(16) <=> H2O(5) + [CH2]C=O(58)\n",
+ " OH(17) + CH3CHO(16) <=> H2O(5) + C[C]=O(59)\n",
+ " OH(17) + CH3CHO(16) <=> CC([O])O(211)\n",
+ " [CH2]CC(C)[O](212) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH2]CO[CH]C(213) <=> C2H4(18) + CH3CHO(16)\n",
+ " C2H4(18) + CH3CHO(16) <=> CC1CCO1(214)\n",
+ " [CH2]C=O(58) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n",
+ " C[C]=O(59) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH]=C(60) + C[CH]O(79) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH]=C(60) + CC[O](80) <=> C2H4(18) + CH3CHO(16)\n",
+ " C=COCC(215) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH][CH2](62) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [C]C(140) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [CH][CH2](62) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [C]C(140) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n",
+ " CH3CH(19) + CH3CHO(16) <=> [CH2]C=O(58) + C2H5(13)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[C]=O(59) + C2H5(13)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[CH]O[CH]C(216)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[CH]C(C)[O](217)\n",
+ " [CH2]O[O](63) + C[CH]O(79) <=> CH3OO(20) + CH3CHO(16)\n",
+ " [CH2]O[O](63) + CC[O](80) <=> CH3OO(20) + CH3CHO(16)\n",
+ " COO(81) + [CH2]C=O(58) <=> CH3OO(20) + CH3CHO(16)\n",
+ " COO(81) + C[C]=O(59) <=> CH3OO(20) + CH3CHO(16)\n",
+ " CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218)\n",
+ " CH3OO(20) + CH3CHO(16) <=> COOC(C)[O](219)\n",
+ " O(34) + C2H5(13) <=> OH(17) + C2H4(18)\n",
+ " OH(17) + C2H4(18) <=> H2O(5) + [CH]=C(60)\n",
+ " OH(17) + C2H4(18) <=> [CH2]CO(220)\n",
+ " OH(17) + CH3CH(19) <=> C[CH]O(79)\n",
+ " OH(17) + CH3CH(19) <=> H2O(5) + [CH]=C(60)\n",
+ " OH(17) + CH3CH(19) <=> O(34) + C2H5(13)\n",
+ " OH(17) + CH3CH(19) <=> H2O(5) + [CH][CH2](62)\n",
+ " O(34) + COO(81) <=> OH(17) + CH3OO(20)\n",
+ " OH(17) + CH3OO(20) <=> H2O(5) + [CH2]O[O](63)\n",
+ " OH(17) + CH3OO(20) <=> COOO(221)\n",
+ " [CH2]CC[CH2](222) <=> C2H4(18) + C2H4(18)\n",
+ " [CH]=C(60) + C2H5(13) <=> C2H4(18) + C2H4(18)\n",
+ " [CH][CH2](62) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " [C]C(140) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " [CH]=C(60) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " C2H4(18) + CH3CH(19) <=> [CH2]C[CH]C(223)\n",
+ " [CH2]O[O](63) + C2H5(13) <=> CH3OO(20) + C2H4(18)\n",
+ " COO(81) + [CH]=C(60) <=> CH3OO(20) + C2H4(18)\n",
+ " CH3OO(20) + C2H4(18) <=> [CH2]COOC(224)\n",
+ " CH3CH(19) + CH3CH(19) <=> [CH]=C(60) + C2H5(13)\n",
+ " CH3CH(19) + CH3CH(19) <=> [CH][CH2](62) + C2H5(13)\n",
+ " CH3OO(20) + CH3CH(19) <=> C[CH]OOC(225)\n",
+ " CH3OO(20) + CH3CH(19) <=> COO(81) + [CH]=C(60)\n",
+ " COO(81) + [CH][CH2](62) <=> CH3OO(20) + CH3CH(19)\n",
+ " CH3OO(20) + CH3CH(19) <=> [CH2]O[O](63) + C2H5(13)\n",
+ " [CH2]O[O](63) + COO(81) <=> CH3OO(20) + CH3OO(20)\n",
+ " CH3OO(20) + CH3OO(20) <=> COOOOC(226)\n",
+ " HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227)\n",
+ " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n",
+ " O=C[O][Pt](227) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " O=C[O][Pt](227) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " X(1) + CC(=O)[O][Pt](230) <=> CO2X(22) + CH3X(27)\n",
+ " X(1) + CO[C](=O)[Pt](231) <=> CO2X(22) + CH3X(27)\n",
+ " OX(25) + O=C[O][Pt](227) <=> OHX(31) + CO2X(22)\n",
+ " X(1) + O=C(O)[O][Pt](232) <=> OHX(31) + CO2X(22)\n",
+ " X(1) + O=[C]([Pt])OO(233) <=> OHX(31) + CO2X(22)\n",
+ " OHX(31) + O=C[O][Pt](227) <=> H2OX(32) + CO2X(22)\n",
+ " COX(23) + O=C[O][Pt](227) <=> CO2X(22) + CHOX(33)\n",
+ " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + O=CC(=O)[O][Pt](234) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + O=CO[C](=O)[Pt](235) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + X(1) + O=C=C=O(236) <=> COX(23) + COX(23)\n",
+ " X(1) + O=C=C=O.[Pt](237) <=> COX(23) + COX(23)\n",
+ " COX(23) + CH4X(24) <=> HX(21) + C[C](=O)[Pt](70)\n",
+ " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n",
+ " X(1) + X(1) + C=C=O(238) <=> COX(23) + CH2X(26)\n",
+ " X(1) + C=C=O.[Pt](239) <=> COX(23) + CH2X(26)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " X(1) + C[C](=O)[Pt](70) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n",
+ " X(1) + O=C=[CH][Pt](240) <=> COX(23) + CHX(28)\n",
+ " X(1) + O=C=[C]=[Pt](241) <=> CX(29) + COX(23)\n",
+ " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n",
+ " X(1) + OO[C]#[Pt](242) <=> OHX(31) + COX(23)\n",
+ " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n",
+ " X(1) + O=C[C](=O)[Pt](243) <=> COX(23) + CHOX(33)\n",
+ " OX(25) + CH4X(24) <=> HX(21) + CH3O_X(45)\n",
+ " CH2X(26) + CH4X(24) <=> HX(21) + C[CH2][Pt](64)\n",
+ " CHX(28) + CH4X(24) <=> HX(21) + C[CH]=[Pt](71)\n",
+ " CX(29) + CH4X(24) <=> HX(21) + C[C]#[Pt](244)\n",
+ " CH2O_X(46) + CH3X(27) <=> CHOX(33) + CH4X(24)\n",
+ " X(1) + O=O.[Pt](245) <=> OX(25) + OX(25)\n",
+ " X(1) + CH2O_X(46) <=> OX(25) + CH2X(26)\n",
+ " X(1) + CH3O_X(45) <=> OX(25) + CH3X(27)\n",
+ " X(1) + O[O][Pt](246) <=> OX(25) + OHX(31)\n",
+ " OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246)\n",
+ " X(1) + O=C[O][Pt](227) <=> OX(25) + CHOX(33)\n",
+ " X(1) + C=C.[Pt](74) <=> CH2X(26) + CH2X(26)\n",
+ " X(1) + C[CH2][Pt](64) <=> CH2X(26) + CH3X(27)\n",
+ " X(1) + C=[CH][Pt](73) <=> CHX(28) + CH2X(26)\n",
+ " X(1) + C=[C]=[Pt](247) <=> CX(29) + CH2X(26)\n",
+ " X(1) + CH2OH_X(48) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CH2X(26) <=> HX(21) + CH2OH_X(48)\n",
+ " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n",
+ " CHX(28) + CH2O_X(46) <=> CHOX(33) + CH2X(26)\n",
+ " X(1) + O=C[CH2][Pt](69) <=> CHOX(33) + CH2X(26)\n",
+ " X(1) + CC.[Pt](65) <=> CH3X(27) + CH3X(27)\n",
+ " X(1) + C[CH]=[Pt](71) <=> CHX(28) + CH3X(27)\n",
+ " X(1) + C[C]#[Pt](244) <=> CX(29) + CH3X(27)\n",
+ " X(1) + CH3OH_X(43) <=> OHX(31) + CH3X(27)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n",
+ " CH2X(26) + CH2O_X(46) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + CC=O.[Pt](72) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n",
+ " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n",
+ " CX(29) + CH2O_X(46) <=> CHX(28) + CHOX(33)\n",
+ " X(1) + O=C[CH]=[Pt](248) <=> CHX(28) + CHOX(33)\n",
+ " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n",
+ " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n",
+ " X(1) + O=C[C]#[Pt](249) <=> CX(29) + CHOX(33)\n",
+ " X(1) + X(1) + H2O2(51) <=> OHX(31) + OHX(31)\n",
+ " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n",
+ " OX(25) + CH2O_X(46) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + X(1) + O=CO(98) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + OO[CH]=[Pt](250) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + O=CO.[Pt](251) <=> OHX(31) + CHOX(33)\n",
+ " OHX(31) + CH2O_X(46) <=> H2OX(32) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n",
+ " COX(23) + CH2O_X(46) <=> CHOX(33) + CHOX(33)\n",
+ " X(1) + X(1) + O=CC=O(150) <=> CHOX(33) + CHOX(33)\n",
+ " X(1) + O=CC=O.[Pt](252) <=> CHOX(33) + CHOX(33)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 36 species and 109 reactions\n",
+ " The model edge has 219 species and 613 reactions\n",
+ "\n",
+ "\n",
+ "Completed initial enlarge edge step.\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 63 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 63 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 180 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 180 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:39\n",
+ " Memory used: 884.56 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Beginning model generation stage 1...\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n",
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 1.1710e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10031037350888891 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "Adding species O[CH]=[Pt](229) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O[CH]=[Pt](229)\n",
+ "Created 0 new edge species\n",
+ "Moved 8 reactions from edge to core\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n",
+ " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n",
+ " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n",
+ " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 37 species and 117 reactions\n",
+ " The model edge has 218 species and 605 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229), Ea raised from 48.7 to 53.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 143.8 to 146.0 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 58.3 to 62.4 kJ/mol to match endothermicity of reaction.\n",
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 11 new edge species\n",
+ " O=C=CO(253)\n",
+ " O=C=CO.[Pt](254)\n",
+ " C[CH](O)[Pt](255)\n",
+ " C=CO.[Pt](256)\n",
+ " OC=[CH][Pt](257)\n",
+ " OC=[C]=[Pt](258)\n",
+ " OO.[Pt](259)\n",
+ " O[CH](O)[Pt](260)\n",
+ " O=C[CH](O)[Pt](261)\n",
+ " OC=CO(262)\n",
+ " OC=CO.[Pt](263)\n",
+ "Added 0 new core reactions\n",
+ "Created 48 new edge reactions\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n",
+ " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " X(1) + CH2OH_X(48) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n",
+ " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " CHX(28) + OO[C]#[Pt](242) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " X(1) + X(1) + O=C=CO(253) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C=CO.[Pt](254) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[CH]=[Pt](229) + CH4X(24) <=> CH3X(27) + CH2OH_X(48)\n",
+ " O[CH]=[Pt](229) + CH4X(24) <=> HX(21) + C[CH](O)[Pt](255)\n",
+ " O[O][Pt](246) + CHX(28) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " X(1) + X(1) + O=CO(98) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " X(1) + O=CO.[Pt](251) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n",
+ " X(1) + X(1) + C=CO(57) <=> CH2X(26) + O[CH]=[Pt](229)\n",
+ " X(1) + C=CO.[Pt](256) <=> CH2X(26) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + CH2OH_X(48) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " CHX(28) + CH3OH_X(43) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " X(1) + C[CH](O)[Pt](255) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + CH2OH_X(48) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " X(1) + OC=[CH][Pt](257) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " X(1) + OC=[C]=[Pt](258) <=> CX(29) + O[CH]=[Pt](229)\n",
+ " H2X(30) + O[CH]=[Pt](229) <=> HX(21) + CH2OH_X(48)\n",
+ " OHX(31) + O[CH]=[Pt](229) <=> OX(25) + CH2OH_X(48)\n",
+ " OO.[Pt](259) + CHX(28) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " H2OX(32) + O[CH]=[Pt](229) <=> OHX(31) + CH2OH_X(48)\n",
+ " H2OX(32) + O[CH]=[Pt](229) <=> HX(21) + O[CH](O)[Pt](260)\n",
+ " CHOX(33) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n",
+ " CHX(28) + OO[CH]=[Pt](250) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " CHX(28) + O=CO.[Pt](251) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + CH2O_X(46) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C[CH](O)[Pt](261) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHX(28) + O[CH](O)[Pt](260)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH2OH_X(48)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHOX(33) + CH2OH_X(48)\n",
+ " X(1) + X(1) + OC=CO(262) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n",
+ " X(1) + OC=CO.[Pt](263) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 37 species and 117 reactions\n",
+ " The model edge has 229 species and 653 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 71 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 71 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 228 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 228 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:40\n",
+ " Memory used: 886.13 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n",
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 7.1461e-10 s, species O[C]#[Pt](228) at rate ratio 0.1008383566792051 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "Adding species O[C]#[Pt](228) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O[C]#[Pt](228)\n",
+ "Created 0 new edge species\n",
+ "Moved 20 reactions from edge to core\n",
+ " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n",
+ " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n",
+ " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n",
+ " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n",
+ " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n",
+ " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n",
+ " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 38 species and 137 reactions\n",
+ " The model edge has 228 species and 633 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 6 new edge species\n",
+ " O=C=[C](O)[Pt](264)\n",
+ " C[C](O)=[Pt](265)\n",
+ " C=[C](O)[Pt](266)\n",
+ " O[C](O)=[Pt](267)\n",
+ " O=C[C](O)=[Pt](268)\n",
+ " OC=[C](O)[Pt](269)\n",
+ "Added 0 new core reactions\n",
+ "Created 21 new edge reactions\n",
+ " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n",
+ " CX(29) + OO[C]#[Pt](242) <=> COX(23) + O[C]#[Pt](228)\n",
+ " X(1) + O=C=[C](O)[Pt](264) <=> COX(23) + O[C]#[Pt](228)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> HX(21) + C[C](O)=[Pt](265)\n",
+ " O[O][Pt](246) + CX(29) <=> OX(25) + O[C]#[Pt](228)\n",
+ " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n",
+ " CX(29) + CH2OH_X(48) <=> O[C]#[Pt](228) + CH2X(26)\n",
+ " X(1) + C=[C](O)[Pt](266) <=> O[C]#[Pt](228) + CH2X(26)\n",
+ " CX(29) + CH3OH_X(43) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " X(1) + C[C](O)=[Pt](265) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " OO.[Pt](259) + CX(29) <=> OHX(31) + O[C]#[Pt](228)\n",
+ " X(1) + O[C](O)=[Pt](267) <=> OHX(31) + O[C]#[Pt](228)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> HX(21) + O[C](O)=[Pt](267)\n",
+ " CX(29) + OO[CH]=[Pt](250) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " CX(29) + O=CO.[Pt](251) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " X(1) + O=C[C](O)=[Pt](268) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH](O)[Pt](260) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " CHX(28) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n",
+ " X(1) + OC=[C](O)[Pt](269) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[C]#[Pt](228)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 38 species and 137 reactions\n",
+ " The model edge has 234 species and 654 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 91 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 91 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 249 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 249 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:42\n",
+ " Memory used: 886.13 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 4.0489e-09 s, species COOH_X(37) at rate ratio 0.1000386630394929 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n",
+ "\n",
+ "\n",
+ "Adding species COOH_X(37) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " COOH_X(37)\n",
+ "Created 0 new edge species\n",
+ "Moved 11 reactions from edge to core\n",
+ " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n",
+ " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n",
+ " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n",
+ " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n",
+ " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n",
+ " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n",
+ " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n",
+ " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 233 species and 643 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 16 new edge species\n",
+ " O=C(O)C(=O)[O][Pt](270)\n",
+ " O=C(O)O[C](=O)[Pt](271)\n",
+ " O=C(O)[C](=O)[Pt](272)\n",
+ " O=C(O)[CH2][Pt](273)\n",
+ " CC(=O)O.[Pt](274)\n",
+ " O=C(O)[CH]=[Pt](275)\n",
+ " O=C(O)[C]#[Pt](276)\n",
+ " O=C(O)O(277)\n",
+ " OO[C](O)=[Pt](278)\n",
+ " O=C(O)O.[Pt](279)\n",
+ " O=CC(=O)O(280)\n",
+ " O=CC(=O)O.[Pt](281)\n",
+ " O=C(O)[CH](O)[Pt](282)\n",
+ " O=C(O)[C](O)=[Pt](283)\n",
+ " O=C(O)C(=O)O(284)\n",
+ " O=C(O)C(=O)O.[Pt](285)\n",
+ "Added 0 new core reactions\n",
+ "Created 55 new edge reactions\n",
+ " X(1) + X(1) + O=CO(98) <=> HX(21) + COOH_X(37)\n",
+ " X(1) + O[C](O)=[Pt](267) <=> HX(21) + COOH_X(37)\n",
+ " HX(21) + COOH_X(37) <=> X(1) + O=CO.[Pt](251)\n",
+ " COX(23) + O=C(O)[O][Pt](232) <=> CO2X(22) + COOH_X(37)\n",
+ " COX(23) + O=[C]([Pt])OO(233) <=> CO2X(22) + COOH_X(37)\n",
+ " X(1) + O=C(O)C(=O)[O][Pt](270) <=> CO2X(22) + COOH_X(37)\n",
+ " X(1) + O=C(O)O[C](=O)[Pt](271) <=> CO2X(22) + COOH_X(37)\n",
+ " COX(23) + OO[C]#[Pt](242) <=> COX(23) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C](=O)[Pt](272) <=> COX(23) + COOH_X(37)\n",
+ " O=CO.[Pt](251) + CH3X(27) <=> COOH_X(37) + CH4X(24)\n",
+ " O[O][Pt](246) + COX(23) <=> OX(25) + COOH_X(37)\n",
+ " X(1) + O=C(O)[O][Pt](232) <=> OX(25) + COOH_X(37)\n",
+ " COOH_X(37) + CH2X(26) <=> COX(23) + CH2OH_X(48)\n",
+ " CHX(28) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH2X(26)\n",
+ " CHX(28) + O=CO.[Pt](251) <=> COOH_X(37) + CH2X(26)\n",
+ " X(1) + O=C(O)[CH2][Pt](273) <=> COOH_X(37) + CH2X(26)\n",
+ " CH2X(26) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH3X(27)\n",
+ " COX(23) + CH3OH_X(43) <=> COOH_X(37) + CH3X(27)\n",
+ " CH2X(26) + O=CO.[Pt](251) <=> COOH_X(37) + CH3X(27)\n",
+ " X(1) + X(1) + CC(=O)O(77) <=> COOH_X(37) + CH3X(27)\n",
+ " X(1) + CC(=O)O.[Pt](274) <=> COOH_X(37) + CH3X(27)\n",
+ " CX(29) + O[C](O)=[Pt](267) <=> CHX(28) + COOH_X(37)\n",
+ " CX(29) + O=CO.[Pt](251) <=> CHX(28) + COOH_X(37)\n",
+ " X(1) + O=C(O)[CH]=[Pt](275) <=> CHX(28) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C]#[Pt](276) <=> CX(29) + COOH_X(37)\n",
+ " OX(25) + O[C](O)=[Pt](267) <=> OHX(31) + COOH_X(37)\n",
+ " OO.[Pt](259) + COX(23) <=> OHX(31) + COOH_X(37)\n",
+ " OX(25) + O=CO.[Pt](251) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + X(1) + O=C(O)O(277) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + OO[C](O)=[Pt](278) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + O=C(O)O.[Pt](279) <=> OHX(31) + COOH_X(37)\n",
+ " OHX(31) + O=CO.[Pt](251) <=> H2OX(32) + COOH_X(37)\n",
+ " COX(23) + OO[CH]=[Pt](250) <=> CHOX(33) + COOH_X(37)\n",
+ " COX(23) + O[C](O)=[Pt](267) <=> CHOX(33) + COOH_X(37)\n",
+ " CHOX(33) + COOH_X(37) <=> CO2X(22) + CH2O_X(46)\n",
+ " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n",
+ " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n",
+ " X(1) + X(1) + O=CC(=O)O(280) <=> CHOX(33) + COOH_X(37)\n",
+ " X(1) + O=CC(=O)O.[Pt](281) <=> CHOX(33) + COOH_X(37)\n",
+ " COOH_X(37) + O[CH]=[Pt](229) <=> COX(23) + O[CH](O)[Pt](260)\n",
+ " CHX(28) + OO[C](O)=[Pt](278) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C](O)=[Pt](267) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " COOH_X(37) + O[CH]=[Pt](229) <=> CO2X(22) + CH2OH_X(48)\n",
+ " CHX(28) + O=C(O)O.[Pt](279) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O=CO.[Pt](251) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C(O)[CH](O)[Pt](282) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " COX(23) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " CX(29) + OO[C](O)=[Pt](278) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " CX(29) + O=C(O)O.[Pt](279) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C](O)=[Pt](283) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " COX(23) + OO[C](O)=[Pt](278) <=> COOH_X(37) + COOH_X(37)\n",
+ " COOH_X(37) + COOH_X(37) <=> CO2X(22) + O=CO.[Pt](251)\n",
+ " COX(23) + O=C(O)O.[Pt](279) <=> COOH_X(37) + COOH_X(37)\n",
+ " X(1) + X(1) + O=C(O)C(=O)O(284) <=> COOH_X(37) + COOH_X(37)\n",
+ " X(1) + O=C(O)C(=O)O.[Pt](285) <=> COOH_X(37) + COOH_X(37)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 249 species and 698 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:44\n",
+ " Memory used: 886.13 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "At time 6.5421e-06 s, reached target termination RateRatio: 0.049746103782174166\n",
+ " CH4(2) conversion: 0.7292 \n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 249 species and 698 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:46\n",
+ " Memory used: 890.24 MB\n",
+ "\n",
+ "Making seed mechanism...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Performing final model checks...\n",
+ "No collision rate violators found in the model's core.\n",
+ "\n",
+ "MODEL GENERATION COMPLETED\n",
+ "\n",
+ "The final model core has 39 species and 148 reactions\n",
+ "The final model edge has 249 species and 698 reactions\n",
+ "\n",
+ "RMG execution terminated at Thu Apr 16 08:24:27 2026\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Running RMG with input file at temp/cov_dep_rmg_run/input.py...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ ":root:Removing old /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG_backup.log\n",
+ ":root:Moving /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG.log to /home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/RMG_backup.log\n",
+ "\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Global RMG Settings:\n",
+ " database.directory = /home/moon/rmg/RMG-database/input (Default, relative to RMG-Py source code)\n",
+ " test_data.directory = /home/moon/rmg/RMG-Py/test/rmgpy/test_data (Default, relative to RMG-Py source code)\n",
+ "RMG execution initiated at Thu Apr 16 08:24:31 2026\n",
+ "\n",
+ "#########################################################\n",
+ "# RMG-Py - Reaction Mechanism Generator in Python #\n",
+ "# Version: 3.3.0 #\n",
+ "# Authors: RMG Developers (rmg_dev@mit.edu) #\n",
+ "# P.I.s: William H. Green (whgreen@mit.edu) #\n",
+ "# Richard H. West (r.west@neu.edu) #\n",
+ "# Website: http://reactionmechanismgenerator.github.io/ #\n",
+ "#########################################################\n",
+ "\n",
+ "The current git HEAD for RMG-Py is:\n",
+ "\tb'40e65623c140cfd4ec877b939c23163cde07622e'\n",
+ "\tb'Fri Apr 10 09:36:20 2026 -0400'\n",
+ "\n",
+ "The current git HEAD for RMG-database is:\n",
+ "\tb'd772ee69457449709fd0ec02a1da3e7732944f84'\n",
+ "\tb'Thu Apr 16 08:21:16 2026 -0400'\n",
+ "\n",
+ "Reading input file \"/home/moon/rmg/RMG-Py/ipython/temp/cov_dep_rmg_run/input.py\"...\n",
+ "\n",
+ "# Data sources\n",
+ "database(\n",
+ " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n",
+ " reactionLibraries = [\n",
+ " ('Surface/Methane/Deutschmann_Pt', False),\n",
+ " ('Surface/Methane/Vlachos_Pt111', False),\n",
+ " 'BurkeH2O2inArHe'],\n",
+ " seedMechanisms = [],\n",
+ " kineticsDepositories = ['training'],\n",
+ " kineticsFamilies =['surface','default'],\n",
+ " kineticsEstimator = 'rate rules',\n",
+ ")\n",
+ "\n",
+ "catalystProperties( # default values for Pt(111)\n",
+ " metal = 'Pt111',\n",
+ " thermoCoverageDependence = True,\n",
+ ")\n",
+ "\n",
+ "# List of species\n",
+ "species(\n",
+ " label='X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\"1 X u0\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH4]\"),\n",
+ ")\n",
+ "species(\n",
+ " label='O2',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u1 p2 c0 {2,S}\n",
+ " 2 O u1 p2 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='Ar',\n",
+ " reactive=False,\n",
+ " structure=SMILES(\"[Ar]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O=C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H][H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[C-]#[O+]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H6',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH3]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C3H8',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CCC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H5',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C[CH2]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HCO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CHO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[OH]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO[O]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {3,D}\n",
+ " 2 O u0 p2 c0 {3,D}\n",
+ " 3 C u0 p0 c0 {1,D} {2,D}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='COX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,D}\n",
+ " 3 X u0 p0 c0 {2,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 H u0 p0 c0 {1,S}\n",
+ " 6 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,T}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,T}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,Q}\n",
+ " 2 X u0 p0 c0 {1,Q}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHOX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n",
+ " 3 H u0 p0 c0 {2,S}\n",
+ " 4 X u0 p0 c0 {2,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "surfaceReactor(\n",
+ " temperature=(1000,'K'),\n",
+ " initialPressure=(1.0, 'bar'),\n",
+ " initialGasMoleFractions={\n",
+ " \"CH4\": 0.041866,\n",
+ " \"O2\": 0.03488,\n",
+ " \"Ar\": 0.131246,\n",
+ " },\n",
+ " initialSurfaceCoverages={\n",
+ " \"X\": 1.0,\n",
+ " },\n",
+ " surfaceVolumeRatio=(1.e5, 'm^-1'),\n",
+ " terminationConversion = { \"CH4\":0.95,},\n",
+ " terminationTime=(10., 's'),\n",
+ " # terminationConversion={'O2': 0.99,},\n",
+ " terminationRateRatio=0.05\n",
+ ")\n",
+ "\n",
+ "\n",
+ "simulator(\n",
+ " atol=1e-18,\n",
+ " rtol=1e-12,\n",
+ ")\n",
+ "\n",
+ "model(\n",
+ " toleranceKeepInEdge=0.0,\n",
+ " toleranceMoveToCore=1e-1,\n",
+ " toleranceInterruptSimulation=1e8,\n",
+ " maximumEdgeSpecies=500000,\n",
+ " maxNumSpecies=40,\n",
+ ")\n",
+ "\n",
+ "options(\n",
+ " units='si',\n",
+ " saveRestartPeriod=None,\n",
+ " generateOutputHTML=True,\n",
+ " generatePlots=False,\n",
+ " saveEdgeSpecies=True,\n",
+ " saveSimulationProfiles=True,\n",
+ ")\n",
+ "\n",
+ "generatedSpeciesConstraints(\n",
+ " allowed=['input species','reaction libraries'],\n",
+ " maximumSurfaceSites=1,\n",
+ ")\n",
+ "\n",
+ "Using catalyst surface properties from metal 'Pt111'.\n",
+ "Using binding energies:\n",
+ "{'H': (-2.75368,'eV/molecule'), 'C': (-7.02516,'eV/molecule'), 'N': (-4.63225,'eV/molecule'), 'O': (-3.81153,'eV/molecule')}\n",
+ "Using surface site density: (2.483e-09,'mol/cm^2')\n",
+ "Coverage dependence is turned OFF\n",
+ "Warning: Initial gas mole fractions do not sum to one; renormalizing.\n",
+ "\n",
+ "\n",
+ "Surface reaction system 1\n",
+ "Gas phase mole fractions:\n",
+ " CH4 0.20129\n",
+ " O2 0.1677\n",
+ " Ar 0.63101\n",
+ "Total gas phase: 1 moles\n",
+ "Pressure: 1e+05 Pa\n",
+ "Temperature: 1000.0 K\n",
+ "Reactor volume: 0.0831 m3\n",
+ "Surface/volume ratio: 1e+05 m2/m3\n",
+ "Surface site density: 2.48e-05 mol/m2\n",
+ "Surface sites in reactor: 0.206 moles\n",
+ "Initial surface coverages (and amounts):\n",
+ " X 1 = 0.20645 moles\n",
+ "Warning: Generate Output HTML option was turned on. Note that this will slow down model generation.\n",
+ "Warning: Edge species saving was turned on. This will slow down model generation for large simulations.\n",
+ "\n",
+ "Loading transport library from PrimaryTransportLibrary.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from OneDMinN2.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from NOx2018.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading transport library from GRI-Mech.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport library from NIST_Fluorine.py in /home/moon/rmg/RMG-database/input/transport/libraries...\n",
+ "Loading transport group database from /home/moon/rmg/RMG-database/input/transport/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading kinetics library Surface/Methane/Deutschmann_Pt from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Deutschmann_Pt/reactions.py...\n",
+ "Loading kinetics library Surface/Methane/Vlachos_Pt111 from /home/moon/rmg/RMG-database/input/kinetics/libraries/Surface/Methane/Vlachos_Pt111/reactions.py...\n",
+ "Loading kinetics library BurkeH2O2inArHe from /home/moon/rmg/RMG-database/input/kinetics/libraries/BurkeH2O2inArHe/reactions.py...\n",
+ "Loading frequencies group database from /home/moon/rmg/RMG-database/input/statmech/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading solvation thermodynamics group database from /home/moon/rmg/RMG-database/input/solvation/groups...\n",
+ "Loading thermodynamics library from surfaceThermoCovDepPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from surfaceThermoPt111.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from primaryThermoLibrary.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics library from thermo_DFT_CCSDTF12_BAC.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Loading thermodynamics library from DFT_QCI_thermo.py in /home/moon/rmg/RMG-database/input/thermo/libraries...\n",
+ "Loading thermodynamics group database from /home/moon/rmg/RMG-database/input/thermo/groups...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Trimolecular reactions are turned on\n",
+ "Adding rate rules from training set in kinetics families...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n",
+ "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n",
+ "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 2000.0 K...\n",
+ "Warning: Cphigh is above the theoretical CpInf value for ThermoData object\n",
+ "ThermoData(Tdata=([300,400,500,600,800,1000,1500],'K'), Cpdata=([60.2599,68.0494,74.7775,80.9311,90.8846,97.4337,105.393],'J/(mol*K)'), H298=(-477.191,'kJ/mol'), S298=(269.551,'J/(mol*K)'), Cp0=(33.2579,'J/(mol*K)'), CpInf=(103.931,'J/(mol*K)'), comment=\"\"\"Thermo group additivity estimation: group(O2s-(Cds-Cd)(Cds-Cd)) + group(O2s-(Cds-O2d)H) + group(Cds-OdOsOs) + group(Li-OCOdO) + radical(OC=OOJ)\"\"\").\n",
+ "The thermo for this species is probably wrong! Setting CpInf = Cphigh for Entropy calculationat T = 1666.6666666666665 K...\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Ni'. Using 'Ni111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Pt'. Using 'Pt111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n",
+ "Warning: Found multiple binding energies for 'Cu'. Using 'Cu111'.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Filling in rate rules in kinetics families by averaging...\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=9.78829e-18): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.30526e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.38146e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.43874e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.11249e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=5.2787e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.26538e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.9079e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.53573e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.43345e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.47964e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.34061e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=8.87325e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.20362e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=2.39961e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.56405e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.40143e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.71804e-22): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=4.97734e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=7.47076e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=6.10745e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.69387e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.30536e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=1.51603e-20): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/scipy/optimize/_optimize.py:2322: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n",
+ " fu = func(x, *args)\n",
+ "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=3.18757e-21): result may not be accurate.\n",
+ " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n",
+ "/home/moon/rmg/RMG-Py/rmgpy/thermo/thermoengine.py:100: LinAlgWarning: Ill-conditioned matrix (rcond=1.08953e-21): result may not be accurate.\n",
+ " thermo = wilhoit.to_nasa(Tmin=100.0, Tmax=5000.0, Tint=1000.0)\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Adding reaction library Surface/Methane/Deutschmann_Pt to model edge...\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 18 new edge reactions\n",
+ " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n",
+ " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n",
+ " X(1) + H2O(5) <=> H2OX(32)\n",
+ " X(1) + CO2(4) <=> CO2X(22)\n",
+ " X(1) + CO(7) <=> COX(23)\n",
+ " OX(25) + CX(29) <=> X(1) + COX(23)\n",
+ " OX(25) + COX(23) <=> X(1) + CO2X(22)\n",
+ " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n",
+ " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n",
+ " X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ " OX(25) + HX(21) <=> X(1) + OHX(31)\n",
+ " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ " H2(6) + CX(29) <=> CH2X(26)\n",
+ " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 34 species and 18 reactions\n",
+ "\n",
+ "Adding reaction library Surface/Methane/Vlachos_Pt111 to model edge...\n",
+ "This library reaction was not new: X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ "This library reaction was not new: X(1) + CO2(4) <=> CO2X(22)\n",
+ "This library reaction was not new: X(1) + CO2X(22) <=> OX(25) + COX(23)\n",
+ "This library reaction was not new: X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ "This library reaction was not new: X(1) + OHX(31) <=> OX(25) + HX(21)\n",
+ "This library reaction was not new: X(1) + H2OX(32) <=> HX(21) + OHX(31)\n",
+ "This library reaction was not new: OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ "This library reaction was not new: X(1) + H2O(5) <=> H2OX(32)\n",
+ "This library reaction was not new: HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ "This library reaction was not new: X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ "This library reaction was not new: X(1) + CH3X(27) <=> HX(21) + CH2X(26)\n",
+ "This library reaction was not new: X(1) + CH2X(26) <=> HX(21) + CHX(28)\n",
+ "This library reaction was not new: X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ "This library reaction was not new: X(1) + COX(23) <=> OX(25) + CX(29)\n",
+ "Warning: Species CO from reaction library Surface/Methane/Vlachos_Pt111 is globally forbidden. It will behave as an inert unless found in a seed mechanism or reaction library.\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 15 new edge species\n",
+ " O(34)\n",
+ " CO(35)\n",
+ " COOH(36)\n",
+ " COOH_X(37)\n",
+ " HCOO(38)\n",
+ " HCOO_XX(39)\n",
+ " C(40)\n",
+ " CH(41)\n",
+ " CH2(42)\n",
+ " CH3OH_X(43)\n",
+ " CH3O(44)\n",
+ " CH3O_X(45)\n",
+ " CH2O_X(46)\n",
+ " CH2OH(47)\n",
+ " CH2OH_X(48)\n",
+ "Added 0 new core reactions\n",
+ "Created 37 new edge reactions\n",
+ " X(1) + O(34) <=> OX(25)\n",
+ " X(1) + CO(35) <=> COX(23)\n",
+ " X(1) + OH(17) <=> OHX(31)\n",
+ " X(1) + H(12) <=> HX(21)\n",
+ " X(1) + COOH(36) <=> COOH_X(37)\n",
+ " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n",
+ " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n",
+ " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n",
+ " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n",
+ " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + X(1) + HCOO(38) <=> HCOO_XX(39)\n",
+ " HX(21) + CO2X(22) <=> HCOO_XX(39)\n",
+ " X(1) + OHX(31) + CO2X(22) <=> OX(25) + HCOO_XX(39)\n",
+ " X(1) + C(40) <=> CX(29)\n",
+ " X(1) + CH(41) <=> CHX(28)\n",
+ " X(1) + CH2(42) <=> CH2X(26)\n",
+ " X(1) + CH3(10) <=> CH3X(27)\n",
+ " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n",
+ " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n",
+ " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n",
+ " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n",
+ " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OX(25) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OHX(31) + CX(29)\n",
+ " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n",
+ " X(1) + CH3OH(14) <=> CH3OH_X(43)\n",
+ " X(1) + CH3O(44) <=> CH3O_X(45)\n",
+ " X(1) + CH2O(9) <=> CH2O_X(46)\n",
+ " X(1) + HCO(15) <=> CHOX(33)\n",
+ " X(1) + CH2OH(47) <=> CH2OH_X(48)\n",
+ " X(1) + CH3OH_X(43) <=> HX(21) + CH3O_X(45)\n",
+ " X(1) + CH3O_X(45) <=> HX(21) + CH2O_X(46)\n",
+ " X(1) + CH2O_X(46) <=> HX(21) + CHOX(33)\n",
+ " X(1) + CHOX(33) <=> HX(21) + COX(23)\n",
+ " X(1) + CH3OH_X(43) <=> HX(21) + CH2OH_X(48)\n",
+ " X(1) + CH2OH_X(48) <=> HX(21) + CH2O_X(46)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 49 species and 55 reactions\n",
+ "\n",
+ "Adding reaction library BurkeH2O2inArHe to model edge...\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 3 new edge species\n",
+ " He(49)\n",
+ " HO2(50)\n",
+ " H2O2(51)\n",
+ "Added 0 new core reactions\n",
+ "Created 30 new edge reactions\n",
+ " O2(3) + H(12) <=> O(34) + OH(17)\n",
+ " O(34) + H2(6) <=> H(12) + OH(17)\n",
+ " OH(17) + H2(6) <=> H(12) + H2O(5)\n",
+ " OH(17) + OH(17) <=> O(34) + H2O(5)\n",
+ " H2(6) <=> H(12) + H(12)\n",
+ " Ar + H2(6) <=> Ar + H(12) + H(12)\n",
+ " He(49) + H2(6) <=> He(49) + H(12) + H(12)\n",
+ " O(34) + O(34) <=> O2(3)\n",
+ " Ar + O(34) + O(34) <=> Ar + O2(3)\n",
+ " He(49) + O(34) + O(34) <=> He(49) + O2(3)\n",
+ " O(34) + H(12) <=> OH(17)\n",
+ " H2O(5) <=> H(12) + OH(17)\n",
+ " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n",
+ " O2(3) + H(12) <=> HO2(50)\n",
+ " H(12) + HO2(50) <=> O2(3) + H2(6)\n",
+ " H(12) + HO2(50) <=> OH(17) + OH(17)\n",
+ " O(34) + HO2(50) <=> O2(3) + OH(17)\n",
+ " OH(17) + HO2(50) <=> O2(3) + H2O(5)\n",
+ " HO2(50) + HO2(50) <=> O2(3) + H2O2(51)\n",
+ " H2O2(51) <=> OH(17) + OH(17)\n",
+ " H(12) + H2O2(51) <=> OH(17) + H2O(5)\n",
+ " H(12) + H2O2(51) <=> HO2(50) + H2(6)\n",
+ " O(34) + H2O2(51) <=> OH(17) + HO2(50)\n",
+ " OH(17) + H2O2(51) <=> HO2(50) + H2O(5)\n",
+ " H(12) + HO2(50) <=> O(34) + H2O(5)\n",
+ " H(12) + HO2(50) <=> H2O2(51)\n",
+ " OH(17) + OH(17) <=> O2(3) + H2(6)\n",
+ " O(34) + H2O(5) <=> O2(3) + H2(6)\n",
+ " O(34) + H2O2(51) <=> O2(3) + H2O(5)\n",
+ " O(34) + OH(17) <=> HO2(50)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 0 species and 0 reactions\n",
+ " The model edge has 52 species and 85 reactions\n",
+ "\n",
+ "Warning: Input species CH3CH is globally forbidden but will be explicitly allowed since input species are permitted by the user's species constraints\n",
+ "NOT generating reactions for unreactive species Ar\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " Ar\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 1 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "NOT generating reactions for unreactive species Ne\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " Ne\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 2 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "NOT generating reactions for unreactive species N2\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " N2\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 3 species and 0 reactions\n",
+ " The model edge has 51 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species X(1) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " X(1)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 4 species and 0 reactions\n",
+ " The model edge has 50 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH4(2) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH4(2)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 5 species and 0 reactions\n",
+ " The model edge has 49 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species O2(3) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O2(3)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 6 species and 0 reactions\n",
+ " The model edge has 48 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO2(4) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO2(4)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 7 species and 0 reactions\n",
+ " The model edge has 47 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2O(5) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2O(5)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 8 species and 0 reactions\n",
+ " The model edge has 46 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2(6) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2(6)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 9 species and 0 reactions\n",
+ " The model edge has 45 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO(7) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO(7)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 10 species and 0 reactions\n",
+ " The model edge has 44 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H6(8) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H6(8)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 11 species and 0 reactions\n",
+ " The model edge has 43 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH2O(9) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH2O(9)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 12 species and 0 reactions\n",
+ " The model edge has 42 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3(10) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3(10)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 13 species and 0 reactions\n",
+ " The model edge has 41 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C3H8(11) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C3H8(11)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 14 species and 0 reactions\n",
+ " The model edge has 40 species and 85 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H(12) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H(12)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " H2(6) <=> H(12) + H(12)\n",
+ " Ar + H2(6) <=> Ar + H(12) + H(12)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 15 species and 2 reactions\n",
+ " The model edge has 39 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H5(13) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H5(13)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 16 species and 2 reactions\n",
+ " The model edge has 38 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3OH(14) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3OH(14)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 17 species and 2 reactions\n",
+ " The model edge has 37 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species HCO(15) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " HCO(15)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 18 species and 2 reactions\n",
+ " The model edge has 36 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3CHO(16) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3CHO(16)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 19 species and 2 reactions\n",
+ " The model edge has 35 species and 83 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OH(17) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OH(17)\n",
+ "Created 0 new edge species\n",
+ "Moved 4 reactions from edge to core\n",
+ " OH(17) + H2(6) <=> H(12) + H2O(5)\n",
+ " H2O(5) <=> H(12) + OH(17)\n",
+ " H2O(5) + H2O(5) <=> H(12) + OH(17) + H2O(5)\n",
+ " OH(17) + OH(17) <=> O2(3) + H2(6)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 20 species and 6 reactions\n",
+ " The model edge has 34 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species C2H4(18) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " C2H4(18)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 21 species and 6 reactions\n",
+ " The model edge has 33 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3CH(19) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3CH(19)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 22 species and 6 reactions\n",
+ " The model edge has 32 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3OO(20) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3OO(20)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 23 species and 6 reactions\n",
+ " The model edge has 31 species and 79 reactions\n",
+ "\n",
+ "\n",
+ "Adding species HX(21) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " HX(21)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + X(1) + H2(6) <=> HX(21) + HX(21)\n",
+ " X(1) + H(12) <=> HX(21)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 24 species and 8 reactions\n",
+ " The model edge has 30 species and 77 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CO2X(22) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CO2X(22)\n",
+ "Created 0 new edge species\n",
+ "Moved 1 reactions from edge to core\n",
+ " X(1) + CO2(4) <=> CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 25 species and 9 reactions\n",
+ " The model edge has 29 species and 76 reactions\n",
+ "\n",
+ "\n",
+ "Adding species COX(23) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " COX(23)\n",
+ "Created 0 new edge species\n",
+ "Moved 1 reactions from edge to core\n",
+ " X(1) + CO(7) <=> COX(23)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 26 species and 10 reactions\n",
+ " The model edge has 28 species and 75 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH4X(24) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH4X(24)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 27 species and 10 reactions\n",
+ " The model edge has 27 species and 75 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OX(25) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OX(25)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + X(1) + O2(3) <=> OX(25) + OX(25)\n",
+ " OX(25) + COX(23) <=> X(1) + CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 28 species and 12 reactions\n",
+ " The model edge has 26 species and 73 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH2X(26) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH2X(26)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 29 species and 12 reactions\n",
+ " The model edge has 25 species and 73 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CH3X(27) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CH3X(27)\n",
+ "Created 0 new edge species\n",
+ "Moved 3 reactions from edge to core\n",
+ " X(1) + X(1) + CH4(2) <=> HX(21) + CH3X(27)\n",
+ " HX(21) + CH2X(26) <=> X(1) + CH3X(27)\n",
+ " X(1) + CH3(10) <=> CH3X(27)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 30 species and 15 reactions\n",
+ " The model edge has 24 species and 70 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CHX(28) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CHX(28)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " HX(21) + CHX(28) <=> X(1) + CH2X(26)\n",
+ " HX(21) + COX(23) <=> OX(25) + CHX(28)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 31 species and 17 reactions\n",
+ " The model edge has 23 species and 68 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CX(29) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CX(29)\n",
+ "Created 0 new edge species\n",
+ "Moved 4 reactions from edge to core\n",
+ " OX(25) + CX(29) <=> X(1) + COX(23)\n",
+ " X(1) + CHX(28) <=> HX(21) + CX(29)\n",
+ " H2(6) + CX(29) <=> CH2X(26)\n",
+ " COX(23) + COX(23) <=> CX(29) + CO2X(22)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 32 species and 21 reactions\n",
+ " The model edge has 22 species and 64 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2X(30) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2X(30)\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 33 species and 21 reactions\n",
+ " The model edge has 21 species and 64 reactions\n",
+ "\n",
+ "\n",
+ "Adding species OHX(31) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " OHX(31)\n",
+ "Created 0 new edge species\n",
+ "Moved 8 reactions from edge to core\n",
+ " X(1) + OX(25) + CH4(2) <=> OHX(31) + CH3X(27)\n",
+ " HX(21) + CO2X(22) <=> OHX(31) + COX(23)\n",
+ " OX(25) + HX(21) <=> X(1) + OHX(31)\n",
+ " X(1) + OH(17) <=> OHX(31)\n",
+ " OX(25) + CH3X(27) <=> OHX(31) + CH2X(26)\n",
+ " OHX(31) + CHX(28) <=> OX(25) + CH2X(26)\n",
+ " OHX(31) + CX(29) <=> OX(25) + CHX(28)\n",
+ " HX(21) + COX(23) <=> OHX(31) + CX(29)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 34 species and 29 reactions\n",
+ " The model edge has 20 species and 56 reactions\n",
+ "\n",
+ "\n",
+ "Adding species H2OX(32) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " H2OX(32)\n",
+ "Created 0 new edge species\n",
+ "Moved 7 reactions from edge to core\n",
+ " X(1) + OHX(31) + CH4(2) <=> H2OX(32) + CH3X(27)\n",
+ " X(1) + H2O(5) <=> H2OX(32)\n",
+ " OX(25) + H2OX(32) <=> OHX(31) + OHX(31)\n",
+ " HX(21) + OHX(31) <=> X(1) + H2OX(32)\n",
+ " H2OX(32) + CH2X(26) <=> OHX(31) + CH3X(27)\n",
+ " H2OX(32) + CHX(28) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CX(29) <=> OHX(31) + CHX(28)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 35 species and 36 reactions\n",
+ " The model edge has 19 species and 49 reactions\n",
+ "\n",
+ "\n",
+ "Adding species CHOX(33) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " CHOX(33)\n",
+ "Created 0 new edge species\n",
+ "Moved 2 reactions from edge to core\n",
+ " X(1) + HCO(15) <=> CHOX(33)\n",
+ " X(1) + CHOX(33) <=> HX(21) + COX(23)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 36 species and 38 reactions\n",
+ " The model edge has 18 species and 47 reactions\n",
+ "\n",
+ "\n",
+ "Initialization complete. Starting model generation.\n",
+ "\n",
+ "Generating initial reactions...\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH4(2) <=> HO2(50) + CH3(10), Ea raised from 216.4 to 231.5 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CO2(4) <=> [O]OO[C]=O(82), Ea raised from 413.6 to 418.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CO2(4) <=> [O]OC([O])=O(83), Ea raised from 298.1 to 300.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H6(8) <=> HO2(50) + C2H5(13), Ea raised from 207.3 to 215.7 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> HO2(50) + HCO(15), Ea raised from 158.7 to 162.5 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> [CH2]OO[O](84), Ea raised from 358.5 to 363.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH2O(9) <=> [O]CO[O](85), Ea raised from 172.4 to 176.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53), Ea raised from 201.7 to 205.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47), Ea raised from 178.9 to 195.8 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59), Ea raised from 157.1 to 167.1 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> C[CH]OO[O](88), Ea raised from 373.4 to 376.8 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + CH3CHO(16) <=> CC([O])O[O](89), Ea raised from 176.0 to 178.9 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + OH(17) <=> O=O(90) + OH(17), Ea raised from 94.3 to 94.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60), Ea raised from 251.1 to 256.1 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction O2(3) + C2H4(18) <=> [CH2]CO[O](91), Ea raised from 132.2 to 156.2 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction O2(3) + CH3OO(20) <=> COOO[O](93), Ea raised from 77.5 to 83.1 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + CO2(4) <=> O=C1OOC1=O(97), Ea raised from 333.9 to 341.4 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH2O(9) <=> O=C1COO1(106), Ea raised from 264.6 to 271.9 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH3(10) <=> CC([O])=O(108), Ea raised from 58.1 to 65.1 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction H(12) + CO2(4) <=> HCOO(38), Ea raised from 47.9 to 52.0 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + HCO(15) <=> [O]C(=O)C=O(122), Ea raised from 146.3 to 150.3 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129), Ea raised from 271.9 to 279.8 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141), Ea raised from 41.0 to 43.4 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CO2(4) + CH3OO(20) <=> COOO[C]=O(145), Ea raised from 251.4 to 255.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH2O(9) + CH2O(9) <=> C1COO1(169), Ea raised from 222.9 to 224.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction CH2O(9) + CH3CHO(16) <=> CC1COO1(179), Ea raised from 243.0 to 245.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188), Ea raised from 196.3 to 200.6 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11) Ea raised from -7.3 to -7.3 kJ/mol.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208), Ea raised from 263.7 to 267.1 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218), Ea raised from 211.1 to 214.2 kJ/mol to match endothermicity of reaction.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227), Ea raised from 83.9 to 85.5 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246), Ea raised from 247.3 to 247.4 kJ/mol to match endothermicity of reaction.\n",
+ "Generating thermo for new species...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 201 new edge species\n",
+ " [CH2](52)\n",
+ " C[CH]C(53)\n",
+ " [CH2]CC(54)\n",
+ " [CH2][CH2](55)\n",
+ " [CH2]C[O](56)\n",
+ " C=CO(57)\n",
+ " [CH2]C=O(58)\n",
+ " C[C]=O(59)\n",
+ " [CH]=C(60)\n",
+ " [CH]C(61)\n",
+ " [CH][CH2](62)\n",
+ " [CH2]O[O](63)\n",
+ " C[CH2][Pt](64)\n",
+ " CC.[Pt](65)\n",
+ " C[CH](C)[Pt](66)\n",
+ " CC[CH2][Pt](67)\n",
+ " CCC.[Pt](68)\n",
+ " O=C[CH2][Pt](69)\n",
+ " C[C](=O)[Pt](70)\n",
+ " C[CH]=[Pt](71)\n",
+ " CC=O.[Pt](72)\n",
+ " C=[CH][Pt](73)\n",
+ " C=C.[Pt](74)\n",
+ " CO[O][Pt](75)\n",
+ " COC=O(76)\n",
+ " CC(=O)O(77)\n",
+ " [CH]O(78)\n",
+ " C[CH]O(79)\n",
+ " CC[O](80)\n",
+ " COO(81)\n",
+ " [O]OO[C]=O(82)\n",
+ " [O]OC([O])=O(83)\n",
+ " [CH2]OO[O](84)\n",
+ " [O]CO[O](85)\n",
+ " CCO[O](86)\n",
+ " [O]OC=O(87)\n",
+ " C[CH]OO[O](88)\n",
+ " CC([O])O[O](89)\n",
+ " O=O(90)\n",
+ " [CH2]CO[O](91)\n",
+ " C[CH]O[O](92)\n",
+ " COOO[O](93)\n",
+ " [O]C(=O)C([O])=O(94)\n",
+ " [O]C(=O)O[C]=O(95)\n",
+ " O=[C]OO[C]=O(96)\n",
+ " O=C1OOC1=O(97)\n",
+ " O=CO(98)\n",
+ " COC(C)=O(99)\n",
+ " CCOC=O(100)\n",
+ " CCC(=O)O(101)\n",
+ " [O]CC([O])=O(102)\n",
+ " [CH2]OC([O])=O(103)\n",
+ " [O]CO[C]=O(104)\n",
+ " [CH2]OO[C]=O(105)\n",
+ " O=C1COO1(106)\n",
+ " CO[C]=O(107)\n",
+ " CC([O])=O(108)\n",
+ " CCOC(C)=O(109)\n",
+ " CC(C)OC=O(110)\n",
+ " CCC(=O)OC(111)\n",
+ " CCCOC=O(112)\n",
+ " CC(C)C(=O)O(113)\n",
+ " CCCC(=O)O(114)\n",
+ " [CH2]COC=O(115)\n",
+ " [CH2]CC(=O)O(116)\n",
+ " CCO[C]=O(117)\n",
+ " CCC([O])=O(118)\n",
+ " O=COCO(119)\n",
+ " O=C(O)CO(120)\n",
+ " O=[C]OC=O(121)\n",
+ " [O]C(=O)C=O(122)\n",
+ " O=CCOC=O(123)\n",
+ " O=CCC(=O)O(124)\n",
+ " CC([O])C([O])=O(125)\n",
+ " C[CH]OC([O])=O(126)\n",
+ " CC([O])O[C]=O(127)\n",
+ " C[CH]OO[C]=O(128)\n",
+ " CC1OOC1=O(129)\n",
+ " C=COOC=O(130)\n",
+ " C=COC(=O)O(131)\n",
+ " [O]C(=O)O(132)\n",
+ " C=COC=O(133)\n",
+ " C=CC(=O)O(134)\n",
+ " [CH2]CC([O])=O(135)\n",
+ " [CH2]CO[C]=O(136)\n",
+ " O=C1CCO1(137)\n",
+ " [CH]COC=O(138)\n",
+ " [CH]CC(=O)O(139)\n",
+ " [C]C(140)\n",
+ " C[CH]O[C]=O(141)\n",
+ " CC=C([O])[O](142)\n",
+ " [O]OCOC=O(143)\n",
+ " [O]OCC(=O)O(144)\n",
+ " COOO[C]=O(145)\n",
+ " COOC([O])=O(146)\n",
+ " CCO(147)\n",
+ " CCC=O(148)\n",
+ " CC(C)=O(149)\n",
+ " O=CC=O(150)\n",
+ " CC(C)C=O(151)\n",
+ " CCCC=O(152)\n",
+ " CCC(C)=O(153)\n",
+ " [CH2]CC=O(154)\n",
+ " CC[C]=O(155)\n",
+ " O=CCO(156)\n",
+ " O=[C]C=O(157)\n",
+ " O=CCC=O(158)\n",
+ " CC(=O)C=O(159)\n",
+ " [CH-]=[O+]OC=C(160)\n",
+ " C=C[O+]=[C-]O(161)\n",
+ " C=CC=O(162)\n",
+ " [CH]CC=O(163)\n",
+ " [O]OCC=O(164)\n",
+ " COO[C]=O(165)\n",
+ " [O]CC[O](166)\n",
+ " [CH2]OC[O](167)\n",
+ " [CH2]OO[CH2](168)\n",
+ " C1COO1(169)\n",
+ " [CH2]OC(170)\n",
+ " [CH2]OCC(171)\n",
+ " CCC[O](172)\n",
+ " [CH2]OC=O(173)\n",
+ " [O]CC=O(174)\n",
+ " CC([O])C[O](175)\n",
+ " C[CH]OC[O](176)\n",
+ " [CH2]OC(C)[O](177)\n",
+ " [CH2]OO[CH]C(178)\n",
+ " CC1COO1(179)\n",
+ " C=COOC(180)\n",
+ " C=COCO(181)\n",
+ " [O]CO(182)\n",
+ " [CH2]CC[O](183)\n",
+ " [CH2]CO[CH2](184)\n",
+ " C1COC1(185)\n",
+ " [CH2]O[CH]C(186)\n",
+ " C[CH]C[O](187)\n",
+ " [CH2]OOOC(188)\n",
+ " COOC[O](189)\n",
+ " C[CH]OC(190)\n",
+ " CC(C)[O](191)\n",
+ " COOC(192)\n",
+ " CCCC(193)\n",
+ " C[CH]OCC(194)\n",
+ " CCC(C)[O](195)\n",
+ " [CH2]CCC(196)\n",
+ " C[CH]CC(197)\n",
+ " CCOOC(198)\n",
+ " CCOC(199)\n",
+ " CCCO(200)\n",
+ " C[CH]OC=O(201)\n",
+ " CC([O])C=O(202)\n",
+ " C[CH]C=O(203)\n",
+ " COOC=O(204)\n",
+ " CC([O])C(C)[O](205)\n",
+ " C[CH]OC(C)[O](206)\n",
+ " C[CH]OO[CH]C(207)\n",
+ " CC1OOC1C(208)\n",
+ " C=COOCC(209)\n",
+ " C=COC(C)O(210)\n",
+ " CC([O])O(211)\n",
+ " [CH2]CC(C)[O](212)\n",
+ " [CH2]CO[CH]C(213)\n",
+ " CC1CCO1(214)\n",
+ " C=COCC(215)\n",
+ " C[CH]O[CH]C(216)\n",
+ " C[CH]C(C)[O](217)\n",
+ " C[CH]OOOC(218)\n",
+ " COOC(C)[O](219)\n",
+ " [CH2]CO(220)\n",
+ " COOO(221)\n",
+ " [CH2]CC[CH2](222)\n",
+ " [CH2]C[CH]C(223)\n",
+ " [CH2]COOC(224)\n",
+ " C[CH]OOC(225)\n",
+ " COOOOC(226)\n",
+ " O=C[O][Pt](227)\n",
+ " O[C]#[Pt](228)\n",
+ " O[CH]=[Pt](229)\n",
+ " CC(=O)[O][Pt](230)\n",
+ " CO[C](=O)[Pt](231)\n",
+ " O=C(O)[O][Pt](232)\n",
+ " O=[C]([Pt])OO(233)\n",
+ " O=CC(=O)[O][Pt](234)\n",
+ " O=CO[C](=O)[Pt](235)\n",
+ " O=C=C=O(236)\n",
+ " O=C=C=O.[Pt](237)\n",
+ " C=C=O(238)\n",
+ " C=C=O.[Pt](239)\n",
+ " O=C=[CH][Pt](240)\n",
+ " O=C=[C]=[Pt](241)\n",
+ " OO[C]#[Pt](242)\n",
+ " O=C[C](=O)[Pt](243)\n",
+ " C[C]#[Pt](244)\n",
+ " O=O.[Pt](245)\n",
+ " O[O][Pt](246)\n",
+ " C=[C]=[Pt](247)\n",
+ " O=C[CH]=[Pt](248)\n",
+ " O=C[C]#[Pt](249)\n",
+ " OO[CH]=[Pt](250)\n",
+ " O=CO.[Pt](251)\n",
+ " O=CC=O.[Pt](252)\n",
+ "Added 71 new core reactions\n",
+ " H(12) + CH3(10) <=> CH4(2)\n",
+ " CH3(10) + CH3(10) <=> C2H6(8)\n",
+ " H(12) + C2H5(13) <=> C2H6(8)\n",
+ " H2(6) + CO(7) <=> CH2O(9)\n",
+ " H(12) + HCO(15) <=> CH2O(9)\n",
+ " CH3(10) + C2H5(13) <=> C3H8(11)\n",
+ " H(12) + CH3CH(19) <=> C2H5(13)\n",
+ " H(12) + C2H4(18) <=> C2H5(13)\n",
+ " OH(17) + CH3(10) <=> CH3OH(14)\n",
+ " H(12) + CO(7) <=> HCO(15)\n",
+ " CO(7) + CH4(2) <=> CH3CHO(16)\n",
+ " HCO(15) + CH3(10) <=> CH3CHO(16)\n",
+ " CH3OO(20) <=> O2(3) + CH3(10)\n",
+ " CH3OO(20) <=> OH(17) + CH2O(9)\n",
+ " X(1) + CH4(2) <=> CH4X(24)\n",
+ " X(1) + H2(6) <=> H2X(30)\n",
+ " X(1) + X(1) + CO2(4) <=> OX(25) + COX(23)\n",
+ " X(1) + X(1) + H2O(5) <=> HX(21) + OHX(31)\n",
+ " X(1) + X(1) + C2H6(8) <=> CH3X(27) + CH3X(27)\n",
+ " X(1) + X(1) + CH2O(9) <=> HX(21) + CHOX(33)\n",
+ " X(1) + X(1) + CH2O(9) <=> OX(25) + CH2X(26)\n",
+ " X(1) + X(1) + CH3OH(14) <=> OHX(31) + CH3X(27)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + X(1) + C2H4(18) <=> CH2X(26) + CH2X(26)\n",
+ " X(1) + CH4X(24) <=> HX(21) + CH3X(27)\n",
+ " X(1) + CHOX(33) <=> OX(25) + CHX(28)\n",
+ " HCO(15) + CH3(10) <=> CO(7) + CH4(2)\n",
+ " H(12) + CH4(2) <=> H2(6) + CH3(10)\n",
+ " CH3(10) + C2H6(8) <=> CH4(2) + C2H5(13)\n",
+ " HCO(15) + CH4(2) <=> CH2O(9) + CH3(10)\n",
+ " OH(17) + CH4(2) <=> H2O(5) + CH3(10)\n",
+ " CH3(10) + C2H5(13) <=> CH4(2) + C2H4(18)\n",
+ " CH4(2) + CH3CH(19) <=> CH3(10) + C2H5(13)\n",
+ " OH(17) + HCO(15) <=> H2O(5) + CO(7)\n",
+ " OH(17) + C2H6(8) <=> H2O(5) + C2H5(13)\n",
+ " OH(17) + CH2O(9) <=> H2O(5) + HCO(15)\n",
+ " OH(17) + C2H5(13) <=> H2O(5) + C2H4(18)\n",
+ " OH(17) + C2H5(13) <=> H2O(5) + CH3CH(19)\n",
+ " H(12) + HCO(15) <=> H2(6) + CO(7)\n",
+ " H(12) + C2H6(8) <=> H2(6) + C2H5(13)\n",
+ " H2(6) + HCO(15) <=> H(12) + CH2O(9)\n",
+ " H(12) + C2H5(13) <=> H2(6) + C2H4(18)\n",
+ " H2(6) + CH3CH(19) <=> H(12) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CO(7) + C2H6(8)\n",
+ " HCO(15) + HCO(15) <=> CO(7) + CH2O(9)\n",
+ " HCO(15) + CH3CH(19) <=> CO(7) + C2H5(13)\n",
+ " HCO(15) + C2H6(8) <=> CH2O(9) + C2H5(13)\n",
+ " C2H5(13) + C2H5(13) <=> C2H4(18) + C2H6(8)\n",
+ " CH3CH(19) + C2H6(8) <=> C2H5(13) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CH2O(9) + C2H4(18)\n",
+ " CH2O(9) + CH3CH(19) <=> HCO(15) + C2H5(13)\n",
+ " CH3CH(19) + C2H5(13) <=> C2H4(18) + C2H5(13)\n",
+ " H2X(30) + CHX(28) <=> HX(21) + CH2X(26)\n",
+ " H2X(30) + CH2X(26) <=> HX(21) + CH3X(27)\n",
+ " H2X(30) + CX(29) <=> HX(21) + CHX(28)\n",
+ " OX(25) + H2X(30) <=> HX(21) + OHX(31)\n",
+ " H2X(30) + COX(23) <=> HX(21) + CHOX(33)\n",
+ " COX(23) + CH4X(24) <=> CHOX(33) + CH3X(27)\n",
+ " CHX(28) + CHOX(33) <=> COX(23) + CH2X(26)\n",
+ " CHOX(33) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + CHOX(33) <=> COX(23) + CHX(28)\n",
+ " OX(25) + CHOX(33) <=> OHX(31) + COX(23)\n",
+ " OHX(31) + CHOX(33) <=> H2OX(32) + COX(23)\n",
+ " OX(25) + CH4X(24) <=> OHX(31) + CH3X(27)\n",
+ " CH2X(26) + CH4X(24) <=> CH3X(27) + CH3X(27)\n",
+ " CHX(28) + CH4X(24) <=> CH2X(26) + CH3X(27)\n",
+ " CX(29) + CH4X(24) <=> CHX(28) + CH3X(27)\n",
+ " OHX(31) + CH4X(24) <=> H2OX(32) + CH3X(27)\n",
+ " CH2X(26) + CH2X(26) <=> CHX(28) + CH3X(27)\n",
+ " CX(29) + CH3X(27) <=> CHX(28) + CH2X(26)\n",
+ " CX(29) + CH2X(26) <=> CHX(28) + CHX(28)\n",
+ "Created 566 new edge reactions\n",
+ " H2(6) + [CH2](52) <=> CH4(2)\n",
+ " [CH2](52) + CH4(2) <=> C2H6(8)\n",
+ " H(12) + CH2(42) <=> CH3(10)\n",
+ " [CH2](52) + C2H6(8) <=> C3H8(11)\n",
+ " [CH2](52) + C2H6(8) <=> C3H8(11)\n",
+ " H(12) + C[CH]C(53) <=> C3H8(11)\n",
+ " H(12) + [CH2]CC(54) <=> C3H8(11)\n",
+ " CH2(42) + CH3(10) <=> C2H5(13)\n",
+ " H(12) + [CH2][CH2](55) <=> C2H5(13)\n",
+ " H2O(5) + [CH2](52) <=> CH3OH(14)\n",
+ " H(12) + CH3O(44) <=> CH3OH(14)\n",
+ " H(12) + CH2OH(47) <=> CH3OH(14)\n",
+ " H(12) + CO(35) <=> HCO(15)\n",
+ " [CH2]C[O](56) <=> CH3CHO(16)\n",
+ " C=CO(57) <=> CH3CHO(16)\n",
+ " H(12) + [CH2]C=O(58) <=> CH3CHO(16)\n",
+ " H(12) + C[C]=O(59) <=> CH3CHO(16)\n",
+ " H(12) + [CH]=C(60) <=> C2H4(18)\n",
+ " [CH]C(61) <=> C2H4(18)\n",
+ " H(12) + [CH][CH2](62) <=> CH3CH(19)\n",
+ " HO2(50) + [CH2](52) <=> CH3OO(20)\n",
+ " O(34) + CH3O(44) <=> CH3OO(20)\n",
+ " H(12) + [CH2]O[O](63) <=> CH3OO(20)\n",
+ " X(1) + X(1) + C2H6(8) <=> HX(21) + C[CH2][Pt](64)\n",
+ " X(1) + C2H6(8) <=> CC.[Pt](65)\n",
+ " X(1) + X(1) + C3H8(11) <=> CH3X(27) + C[CH2][Pt](64)\n",
+ " X(1) + X(1) + C3H8(11) <=> HX(21) + C[CH](C)[Pt](66)\n",
+ " X(1) + X(1) + C3H8(11) <=> HX(21) + CC[CH2][Pt](67)\n",
+ " X(1) + C3H8(11) <=> CCC.[Pt](68)\n",
+ " X(1) + C2H5(13) <=> C[CH2][Pt](64)\n",
+ " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH3O_X(45)\n",
+ " X(1) + X(1) + CH3OH(14) <=> HX(21) + CH2OH_X(48)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> HX(21) + O=C[CH2][Pt](69)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> HX(21) + C[C](=O)[Pt](70)\n",
+ " X(1) + X(1) + CH3CHO(16) <=> OX(25) + C[CH]=[Pt](71)\n",
+ " X(1) + CH3CHO(16) <=> CC=O.[Pt](72)\n",
+ " X(1) + X(1) + C2H4(18) <=> HX(21) + C=[CH][Pt](73)\n",
+ " X(1) + C2H4(18) <=> C=C.[Pt](74)\n",
+ " X(1) + CH3OO(20) <=> CO[O][Pt](75)\n",
+ " O2(3) + CH4(2) <=> HO2(50) + CH3(10)\n",
+ " CO2(4) + CH4(2) <=> COC=O(76)\n",
+ " CO2(4) + CH4(2) <=> CC(=O)O(77)\n",
+ " COOH(36) + CH3(10) <=> CO2(4) + CH4(2)\n",
+ " HCOO(38) + CH3(10) <=> CO2(4) + CH4(2)\n",
+ " CH3(10) + CH2OH(47) <=> CH2O(9) + CH4(2)\n",
+ " CH3(10) + CH3O(44) <=> CH2O(9) + CH4(2)\n",
+ " [CH]O(78) + CH3(10) <=> HCO(15) + CH4(2)\n",
+ " CH3(10) + C[CH]O(79) <=> CH4(2) + CH3CHO(16)\n",
+ " CH3(10) + CC[O](80) <=> CH4(2) + CH3CHO(16)\n",
+ " CH3OO(20) + CH4(2) <=> CH3(10) + COO(81)\n",
+ " O2(3) + CO2(4) <=> [O]OO[C]=O(82)\n",
+ " O2(3) + CO2(4) <=> [O]OC([O])=O(83)\n",
+ " O2(3) + C2H6(8) <=> HO2(50) + C2H5(13)\n",
+ " O2(3) + CH2O(9) <=> HO2(50) + HCO(15)\n",
+ " O2(3) + CH2O(9) <=> [CH2]OO[O](84)\n",
+ " O2(3) + CH2O(9) <=> [O]CO[O](85)\n",
+ " HO2(50) + CH2(42) <=> O2(3) + CH3(10)\n",
+ " O2(3) + C3H8(11) <=> HO2(50) + C[CH]C(53)\n",
+ " HO2(50) + [CH2]CC(54) <=> O2(3) + C3H8(11)\n",
+ " O2(3) + C2H5(13) <=> HO2(50) + C2H4(18)\n",
+ " HO2(50) + CH3CH(19) <=> O2(3) + C2H5(13)\n",
+ " CCO[O](86) <=> O2(3) + C2H5(13)\n",
+ " HO2(50) + CH3O(44) <=> O2(3) + CH3OH(14)\n",
+ " O2(3) + CH3OH(14) <=> HO2(50) + CH2OH(47)\n",
+ " O2(3) + HCO(15) <=> HO2(50) + CO(7)\n",
+ " HO2(50) + CO(35) <=> O2(3) + HCO(15)\n",
+ " O2(3) + HCO(15) <=> [O]OC=O(87)\n",
+ " HO2(50) + [CH2]C=O(58) <=> O2(3) + CH3CHO(16)\n",
+ " O2(3) + CH3CHO(16) <=> HO2(50) + C[C]=O(59)\n",
+ " O2(3) + CH3CHO(16) <=> C[CH]OO[O](88)\n",
+ " O2(3) + CH3CHO(16) <=> CC([O])O[O](89)\n",
+ " O2(3) + OH(17) <=> O=O(90) + OH(17)\n",
+ " O2(3) + C2H4(18) <=> HO2(50) + [CH]=C(60)\n",
+ " O2(3) + C2H4(18) <=> [CH2]CO[O](91)\n",
+ " O2(3) + CH3CH(19) <=> C[CH]O[O](92)\n",
+ " O2(3) + CH3CH(19) <=> HO2(50) + [CH]=C(60)\n",
+ " HO2(50) + [CH][CH2](62) <=> O2(3) + CH3CH(19)\n",
+ " O2(3) + CH3OO(20) <=> HO2(50) + [CH2]O[O](63)\n",
+ " O2(3) + CH3OO(20) <=> COOO[O](93)\n",
+ " [O]C(=O)C([O])=O(94) <=> CO2(4) + CO2(4)\n",
+ " [O]C(=O)O[C]=O(95) <=> CO2(4) + CO2(4)\n",
+ " O=[C]OO[C]=O(96) <=> CO2(4) + CO2(4)\n",
+ " CO2(4) + CO2(4) <=> O=C1OOC1=O(97)\n",
+ " OH(17) + COOH(36) <=> H2O(5) + CO2(4)\n",
+ " OH(17) + HCOO(38) <=> H2O(5) + CO2(4)\n",
+ " H2(6) + CO2(4) <=> O=CO(98)\n",
+ " H(12) + COOH(36) <=> H2(6) + CO2(4)\n",
+ " H(12) + HCOO(38) <=> H2(6) + CO2(4)\n",
+ " CO2(4) + C2H6(8) <=> COC(C)=O(99)\n",
+ " CO2(4) + C2H6(8) <=> CCOC=O(100)\n",
+ " CO2(4) + C2H6(8) <=> CCC(=O)O(101)\n",
+ " COOH(36) + C2H5(13) <=> CO2(4) + C2H6(8)\n",
+ " HCOO(38) + C2H5(13) <=> CO2(4) + C2H6(8)\n",
+ " [O]CC([O])=O(102) <=> CO2(4) + CH2O(9)\n",
+ " [CH2]OC([O])=O(103) <=> CO2(4) + CH2O(9)\n",
+ " [O]CO[C]=O(104) <=> CO2(4) + CH2O(9)\n",
+ " [CH2]OO[C]=O(105) <=> CO2(4) + CH2O(9)\n",
+ " CO2(4) + CH2O(9) <=> O=C1COO1(106)\n",
+ " HCO(15) + COOH(36) <=> CO2(4) + CH2O(9)\n",
+ " HCO(15) + HCOO(38) <=> CO2(4) + CH2O(9)\n",
+ " COOH(36) + CH2(42) <=> CO2(4) + CH3(10)\n",
+ " HCOO(38) + CH2(42) <=> CO2(4) + CH3(10)\n",
+ " CO2(4) + CH3(10) <=> CO[C]=O(107)\n",
+ " CO2(4) + CH3(10) <=> CC([O])=O(108)\n",
+ " CO2(4) + C3H8(11) <=> CCOC(C)=O(109)\n",
+ " CO2(4) + C3H8(11) <=> CC(C)OC=O(110)\n",
+ " CO2(4) + C3H8(11) <=> CCC(=O)OC(111)\n",
+ " CO2(4) + C3H8(11) <=> CCCOC=O(112)\n",
+ " CO2(4) + C3H8(11) <=> CC(C)C(=O)O(113)\n",
+ " CO2(4) + C3H8(11) <=> CCCC(=O)O(114)\n",
+ " COOH(36) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n",
+ " COOH(36) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n",
+ " HCOO(38) + C[CH]C(53) <=> CO2(4) + C3H8(11)\n",
+ " HCOO(38) + [CH2]CC(54) <=> CO2(4) + C3H8(11)\n",
+ " H(12) + CO2(4) <=> COOH(36)\n",
+ " H(12) + CO2(4) <=> HCOO(38)\n",
+ " CO2(4) + C2H5(13) <=> [CH2]COC=O(115)\n",
+ " CO2(4) + C2H5(13) <=> [CH2]CC(=O)O(116)\n",
+ " COOH(36) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n",
+ " COOH(36) + CH3CH(19) <=> CO2(4) + C2H5(13)\n",
+ " HCOO(38) + [CH2][CH2](55) <=> CO2(4) + C2H5(13)\n",
+ " HCOO(38) + CH3CH(19) <=> CO2(4) + C2H5(13)\n",
+ " CO2(4) + C2H5(13) <=> CCO[C]=O(117)\n",
+ " CO2(4) + C2H5(13) <=> CCC([O])=O(118)\n",
+ " CO2(4) + CH3OH(14) <=> O=COCO(119)\n",
+ " CO2(4) + CH3OH(14) <=> O=C(O)CO(120)\n",
+ " COOH(36) + CH3O(44) <=> CO2(4) + CH3OH(14)\n",
+ " COOH(36) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n",
+ " HCOO(38) + CH3O(44) <=> CO2(4) + CH3OH(14)\n",
+ " HCOO(38) + CH2OH(47) <=> CO2(4) + CH3OH(14)\n",
+ " CO(35) + COOH(36) <=> CO2(4) + HCO(15)\n",
+ " CO(35) + HCOO(38) <=> CO2(4) + HCO(15)\n",
+ " CO2(4) + HCO(15) <=> O=[C]OC=O(121)\n",
+ " CO2(4) + HCO(15) <=> [O]C(=O)C=O(122)\n",
+ " CO2(4) + CH3CHO(16) <=> O=CCOC=O(123)\n",
+ " CO2(4) + CH3CHO(16) <=> O=CCC(=O)O(124)\n",
+ " CC([O])C([O])=O(125) <=> CO2(4) + CH3CHO(16)\n",
+ " C[CH]OC([O])=O(126) <=> CO2(4) + CH3CHO(16)\n",
+ " CC([O])O[C]=O(127) <=> CO2(4) + CH3CHO(16)\n",
+ " C[CH]OO[C]=O(128) <=> CO2(4) + CH3CHO(16)\n",
+ " CO2(4) + CH3CHO(16) <=> CC1OOC1=O(129)\n",
+ " COOH(36) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n",
+ " COOH(36) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n",
+ " HCOO(38) + [CH2]C=O(58) <=> CO2(4) + CH3CHO(16)\n",
+ " HCOO(38) + C[C]=O(59) <=> CO2(4) + CH3CHO(16)\n",
+ " C=COOC=O(130) <=> CO2(4) + CH3CHO(16)\n",
+ " C=COC(=O)O(131) <=> CO2(4) + CH3CHO(16)\n",
+ " O(34) + COOH(36) <=> OH(17) + CO2(4)\n",
+ " O(34) + HCOO(38) <=> OH(17) + CO2(4)\n",
+ " OH(17) + CO2(4) <=> [O]C(=O)O(132)\n",
+ " CO2(4) + C2H4(18) <=> C=COC=O(133)\n",
+ " CO2(4) + C2H4(18) <=> C=CC(=O)O(134)\n",
+ " [CH2]CC([O])=O(135) <=> CO2(4) + C2H4(18)\n",
+ " [CH2]CO[C]=O(136) <=> CO2(4) + C2H4(18)\n",
+ " CO2(4) + C2H4(18) <=> O=C1CCO1(137)\n",
+ " COOH(36) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n",
+ " HCOO(38) + [CH]=C(60) <=> CO2(4) + C2H4(18)\n",
+ " CO2(4) + CH3CH(19) <=> [CH]COC=O(138)\n",
+ " CO2(4) + CH3CH(19) <=> [CH]CC(=O)O(139)\n",
+ " COOH(36) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n",
+ " COOH(36) + [C]C(140) <=> CO2(4) + CH3CH(19)\n",
+ " HCOO(38) + [CH][CH2](62) <=> CO2(4) + CH3CH(19)\n",
+ " HCOO(38) + [C]C(140) <=> CO2(4) + CH3CH(19)\n",
+ " CO2(4) + CH3CH(19) <=> C[CH]O[C]=O(141)\n",
+ " CO2(4) + CH3CH(19) <=> CC=C([O])[O](142)\n",
+ " CO2(4) + CH3OO(20) <=> [O]OCOC=O(143)\n",
+ " CO2(4) + CH3OO(20) <=> [O]OCC(=O)O(144)\n",
+ " COOH(36) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n",
+ " HCOO(38) + [CH2]O[O](63) <=> CO2(4) + CH3OO(20)\n",
+ " CO2(4) + CH3OO(20) <=> COOO[C]=O(145)\n",
+ " CO2(4) + CH3OO(20) <=> COOC([O])=O(146)\n",
+ " H2O(5) + CO(7) <=> O=CO(98)\n",
+ " OH(17) + CH2OH(47) <=> H2O(5) + CH2O(9)\n",
+ " OH(17) + CH3O(44) <=> H2O(5) + CH2O(9)\n",
+ " OH(17) + [CH]O(78) <=> H2O(5) + HCO(15)\n",
+ " OH(17) + C[CH]O(79) <=> H2O(5) + CH3CHO(16)\n",
+ " OH(17) + CC[O](80) <=> H2O(5) + CH3CHO(16)\n",
+ " H2O(5) + C2H4(18) <=> CCO(147)\n",
+ " OH(17) + COO(81) <=> H2O(5) + CH3OO(20)\n",
+ " H(12) + CH2OH(47) <=> H2(6) + CH2O(9)\n",
+ " H(12) + CH3O(44) <=> H2(6) + CH2O(9)\n",
+ " H(12) + [CH]O(78) <=> H2(6) + HCO(15)\n",
+ " H(12) + C[CH]O(79) <=> H2(6) + CH3CHO(16)\n",
+ " H(12) + CC[O](80) <=> H2(6) + CH3CHO(16)\n",
+ " H(12) + COO(81) <=> H2(6) + CH3OO(20)\n",
+ " CO(7) + C2H6(8) <=> CCC=O(148)\n",
+ " CO(7) + C2H6(8) <=> CC(C)=O(149)\n",
+ " CO(7) + CH2O(9) <=> O=CC=O(150)\n",
+ " HCO(15) + CH2(42) <=> CO(7) + CH3(10)\n",
+ " CO(7) + CH3(10) <=> C[C]=O(59)\n",
+ " CO(7) + C3H8(11) <=> CC(C)C=O(151)\n",
+ " CO(7) + C3H8(11) <=> CCCC=O(152)\n",
+ " CO(7) + C3H8(11) <=> CCC(C)=O(153)\n",
+ " HCO(15) + C[CH]C(53) <=> CO(7) + C3H8(11)\n",
+ " HCO(15) + [CH2]CC(54) <=> CO(7) + C3H8(11)\n",
+ " CO(7) + C2H5(13) <=> [CH2]CC=O(154)\n",
+ " HCO(15) + [CH2][CH2](55) <=> CO(7) + C2H5(13)\n",
+ " CC[C]=O(155) <=> CO(7) + C2H5(13)\n",
+ " CO(7) + CH3OH(14) <=> COC=O(76)\n",
+ " CO(7) + CH3OH(14) <=> O=CCO(156)\n",
+ " HCO(15) + CH3O(44) <=> CO(7) + CH3OH(14)\n",
+ " HCO(15) + CH2OH(47) <=> CO(7) + CH3OH(14)\n",
+ " CO(35) + HCO(15) <=> CO(7) + HCO(15)\n",
+ " CO(7) + HCO(15) <=> O=[C]C=O(157)\n",
+ " CO(7) + CH3CHO(16) <=> O=CCC=O(158)\n",
+ " CO(7) + CH3CHO(16) <=> CC(=O)C=O(159)\n",
+ " HCO(15) + [CH2]C=O(58) <=> CO(7) + CH3CHO(16)\n",
+ " HCO(15) + C[C]=O(59) <=> CO(7) + CH3CHO(16)\n",
+ " [CH-]=[O+]OC=C(160) <=> CO(7) + CH3CHO(16)\n",
+ " C=C[O+]=[C-]O(161) <=> CO(7) + CH3CHO(16)\n",
+ " O(34) + HCO(15) <=> OH(17) + CO(7)\n",
+ " OH(17) + CO(7) <=> COOH(36)\n",
+ " CO(7) + C2H4(18) <=> C=CC=O(162)\n",
+ " HCO(15) + [CH]=C(60) <=> CO(7) + C2H4(18)\n",
+ " CO(7) + CH3CH(19) <=> [CH]CC=O(163)\n",
+ " HCO(15) + [CH][CH2](62) <=> CO(7) + CH3CH(19)\n",
+ " HCO(15) + [C]C(140) <=> CO(7) + CH3CH(19)\n",
+ " CO(7) + CH3OO(20) <=> [O]OCC=O(164)\n",
+ " HCO(15) + [CH2]O[O](63) <=> CO(7) + CH3OO(20)\n",
+ " CO(7) + CH3OO(20) <=> COO[C]=O(165)\n",
+ " CH2OH(47) + C2H5(13) <=> CH2O(9) + C2H6(8)\n",
+ " CH3O(44) + C2H5(13) <=> CH2O(9) + C2H6(8)\n",
+ " [CH]O(78) + C2H5(13) <=> HCO(15) + C2H6(8)\n",
+ " C2H5(13) + C[CH]O(79) <=> CH3CHO(16) + C2H6(8)\n",
+ " C2H5(13) + CC[O](80) <=> CH3CHO(16) + C2H6(8)\n",
+ " CH3OO(20) + C2H6(8) <=> COO(81) + C2H5(13)\n",
+ " [O]CC[O](166) <=> CH2O(9) + CH2O(9)\n",
+ " [CH2]OC[O](167) <=> CH2O(9) + CH2O(9)\n",
+ " [CH2]OO[CH2](168) <=> CH2O(9) + CH2O(9)\n",
+ " CH2O(9) + CH2O(9) <=> C1COO1(169)\n",
+ " HCO(15) + CH2OH(47) <=> CH2O(9) + CH2O(9)\n",
+ " HCO(15) + CH3O(44) <=> CH2O(9) + CH2O(9)\n",
+ " CH2(42) + CH2OH(47) <=> CH2O(9) + CH3(10)\n",
+ " CH2(42) + CH3O(44) <=> CH2O(9) + CH3(10)\n",
+ " CH2O(9) + CH3(10) <=> [CH2]OC(170)\n",
+ " CH2O(9) + CH3(10) <=> CC[O](80)\n",
+ " CH2OH(47) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n",
+ " CH2OH(47) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n",
+ " CH3O(44) + C[CH]C(53) <=> CH2O(9) + C3H8(11)\n",
+ " CH3O(44) + [CH2]CC(54) <=> CH2O(9) + C3H8(11)\n",
+ " H(12) + CH2O(9) <=> CH2OH(47)\n",
+ " H(12) + CH2O(9) <=> CH3O(44)\n",
+ " CH2OH(47) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n",
+ " CH2OH(47) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n",
+ " CH3O(44) + [CH2][CH2](55) <=> CH2O(9) + C2H5(13)\n",
+ " CH3O(44) + CH3CH(19) <=> CH2O(9) + C2H5(13)\n",
+ " CH2O(9) + C2H5(13) <=> [CH2]OCC(171)\n",
+ " CH2O(9) + C2H5(13) <=> CCC[O](172)\n",
+ " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " CH2OH(47) + CH2OH(47) <=> CH2O(9) + CH3OH(14)\n",
+ " CH3O(44) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " CH2OH(47) + CH3O(44) <=> CH2O(9) + CH3OH(14)\n",
+ " HCO(15) + [CH]O(78) <=> HCO(15) + CH2O(9)\n",
+ " CO(35) + CH2OH(47) <=> HCO(15) + CH2O(9)\n",
+ " CO(35) + CH3O(44) <=> HCO(15) + CH2O(9)\n",
+ " HCO(15) + CH2O(9) <=> [CH2]OC=O(173)\n",
+ " HCO(15) + CH2O(9) <=> [O]CC=O(174)\n",
+ " CC([O])C[O](175) <=> CH2O(9) + CH3CHO(16)\n",
+ " C[CH]OC[O](176) <=> CH2O(9) + CH3CHO(16)\n",
+ " [CH2]OC(C)[O](177) <=> CH2O(9) + CH3CHO(16)\n",
+ " [CH2]OO[CH]C(178) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2O(9) + CH3CHO(16) <=> CC1COO1(179)\n",
+ " HCO(15) + C[CH]O(79) <=> CH2O(9) + CH3CHO(16)\n",
+ " HCO(15) + CC[O](80) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2OH(47) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH2OH(47) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH3O(44) + [CH2]C=O(58) <=> CH2O(9) + CH3CHO(16)\n",
+ " CH3O(44) + C[C]=O(59) <=> CH2O(9) + CH3CHO(16)\n",
+ " C=COOC(180) <=> CH2O(9) + CH3CHO(16)\n",
+ " C=COCO(181) <=> CH2O(9) + CH3CHO(16)\n",
+ " O(34) + CH2OH(47) <=> OH(17) + CH2O(9)\n",
+ " O(34) + CH3O(44) <=> OH(17) + CH2O(9)\n",
+ " OH(17) + CH2O(9) <=> [O]CO(182)\n",
+ " [CH2]CC[O](183) <=> CH2O(9) + C2H4(18)\n",
+ " [CH2]CO[CH2](184) <=> CH2O(9) + C2H4(18)\n",
+ " CH2O(9) + C2H4(18) <=> C1COC1(185)\n",
+ " CH2OH(47) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n",
+ " CH3O(44) + [CH]=C(60) <=> CH2O(9) + C2H4(18)\n",
+ " CH2OH(47) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n",
+ " CH2OH(47) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n",
+ " CH3O(44) + [CH][CH2](62) <=> CH2O(9) + CH3CH(19)\n",
+ " CH3O(44) + [C]C(140) <=> CH2O(9) + CH3CH(19)\n",
+ " CH2O(9) + CH3CH(19) <=> [CH2]O[CH]C(186)\n",
+ " CH2O(9) + CH3CH(19) <=> C[CH]C[O](187)\n",
+ " [CH2]O[O](63) + CH2OH(47) <=> CH2O(9) + CH3OO(20)\n",
+ " [CH2]O[O](63) + CH3O(44) <=> CH2O(9) + CH3OO(20)\n",
+ " HCO(15) + COO(81) <=> CH2O(9) + CH3OO(20)\n",
+ " CH2O(9) + CH3OO(20) <=> [CH2]OOOC(188)\n",
+ " CH2O(9) + CH3OO(20) <=> COOC[O](189)\n",
+ " CH2(42) + CH4(2) <=> CH3(10) + CH3(10)\n",
+ " CH4(2) + C[CH]C(53) <=> CH3(10) + C3H8(11)\n",
+ " CH3(10) + C3H8(11) <=> CH4(2) + [CH2]CC(54)\n",
+ " H2(6) + CH2(42) <=> H(12) + CH3(10)\n",
+ " CH2(42) + C2H6(8) <=> CH3(10) + C2H5(13)\n",
+ " CH3O(44) + CH4(2) <=> CH3(10) + CH3OH(14)\n",
+ " CH3(10) + CH3OH(14) <=> CH2OH(47) + CH4(2)\n",
+ " CH2(42) + [CH]O(78) <=> HCO(15) + CH3(10)\n",
+ " CH2(42) + CH2O(9) <=> HCO(15) + CH3(10)\n",
+ " CO(35) + CH4(2) <=> HCO(15) + CH3(10)\n",
+ " CH2(42) + C[CH]O(79) <=> CH3(10) + CH3CHO(16)\n",
+ " CH2(42) + CC[O](80) <=> CH3(10) + CH3CHO(16)\n",
+ " CH3(10) + CH3CHO(16) <=> CH4(2) + [CH2]C=O(58)\n",
+ " CH3(10) + CH3CHO(16) <=> CH4(2) + C[C]=O(59)\n",
+ " CH3(10) + CH3CHO(16) <=> C[CH]OC(190)\n",
+ " CH3(10) + CH3CHO(16) <=> CC(C)[O](191)\n",
+ " OH(17) + CH3(10) <=> H2O(5) + CH2(42)\n",
+ " O(34) + CH4(2) <=> OH(17) + CH3(10)\n",
+ " CH2(42) + C2H5(13) <=> CH3(10) + C2H4(18)\n",
+ " CH4(2) + [CH]=C(60) <=> CH3(10) + C2H4(18)\n",
+ " CH3(10) + C2H4(18) <=> [CH2]CC(54)\n",
+ " CH3(10) + CH3CH(19) <=> C[CH]C(53)\n",
+ " CH3(10) + CH3CH(19) <=> CH4(2) + [CH]=C(60)\n",
+ " CH2(42) + C2H5(13) <=> CH3(10) + CH3CH(19)\n",
+ " CH3(10) + CH3CH(19) <=> CH4(2) + [CH][CH2](62)\n",
+ " CH2(42) + COO(81) <=> CH3(10) + CH3OO(20)\n",
+ " CH3(10) + CH3OO(20) <=> [CH2]O[O](63) + CH4(2)\n",
+ " CH3(10) + CH3OO(20) <=> COOC(192)\n",
+ " H2(6) + C[CH]C(53) <=> H(12) + C3H8(11)\n",
+ " H(12) + C3H8(11) <=> H2(6) + [CH2]CC(54)\n",
+ " C2H6(8) + C[CH]C(53) <=> C2H5(13) + C3H8(11)\n",
+ " C2H6(8) + [CH2]CC(54) <=> C2H5(13) + C3H8(11)\n",
+ " [CH]O(78) + C[CH]C(53) <=> HCO(15) + C3H8(11)\n",
+ " [CH]O(78) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n",
+ " HCO(15) + C3H8(11) <=> CH2O(9) + C[CH]C(53)\n",
+ " CH2O(9) + [CH2]CC(54) <=> HCO(15) + C3H8(11)\n",
+ " C[CH]O(79) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n",
+ " CC[O](80) + C[CH]C(53) <=> CH3CHO(16) + C3H8(11)\n",
+ " C[CH]O(79) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n",
+ " CC[O](80) + [CH2]CC(54) <=> CH3CHO(16) + C3H8(11)\n",
+ " OH(17) + C3H8(11) <=> H2O(5) + C[CH]C(53)\n",
+ " OH(17) + C3H8(11) <=> H2O(5) + [CH2]CC(54)\n",
+ " C2H5(13) + C[CH]C(53) <=> C2H4(18) + C3H8(11)\n",
+ " C2H5(13) + [CH2]CC(54) <=> C2H4(18) + C3H8(11)\n",
+ " CH3CH(19) + C3H8(11) <=> C2H5(13) + C[CH]C(53)\n",
+ " CH3CH(19) + C3H8(11) <=> C2H5(13) + [CH2]CC(54)\n",
+ " COO(81) + C[CH]C(53) <=> CH3OO(20) + C3H8(11)\n",
+ " COO(81) + [CH2]CC(54) <=> CH3OO(20) + C3H8(11)\n",
+ " H(12) + CH3OH(14) <=> H2(6) + CH3O(44)\n",
+ " H(12) + CH3OH(14) <=> H2(6) + CH2OH(47)\n",
+ " H2(6) + CO(35) <=> H(12) + HCO(15)\n",
+ " H(12) + CH3CHO(16) <=> H2(6) + [CH2]C=O(58)\n",
+ " H(12) + CH3CHO(16) <=> H2(6) + C[C]=O(59)\n",
+ " H(12) + CH3CHO(16) <=> C[CH]O(79)\n",
+ " H(12) + CH3CHO(16) <=> CC[O](80)\n",
+ " H(12) + C2H4(18) <=> H2(6) + [CH]=C(60)\n",
+ " H(12) + CH3CH(19) <=> H2(6) + [CH]=C(60)\n",
+ " H(12) + CH3CH(19) <=> H2(6) + [CH][CH2](62)\n",
+ " H(12) + CH3OO(20) <=> H2(6) + [CH2]O[O](63)\n",
+ " H(12) + CH3OO(20) <=> COO(81)\n",
+ " C2H5(13) + C2H5(13) <=> CCCC(193)\n",
+ " CH3OH(14) + C2H5(13) <=> CH3O(44) + C2H6(8)\n",
+ " CH3OH(14) + C2H5(13) <=> CH2OH(47) + C2H6(8)\n",
+ " [CH]O(78) + [CH2][CH2](55) <=> HCO(15) + C2H5(13)\n",
+ " [CH]O(78) + CH3CH(19) <=> HCO(15) + C2H5(13)\n",
+ " CO(35) + C2H6(8) <=> HCO(15) + C2H5(13)\n",
+ " HCO(15) + C2H5(13) <=> CCC=O(148)\n",
+ " [CH2][CH2](55) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n",
+ " [CH2][CH2](55) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CH(19) + C[CH]O(79) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CH(19) + CC[O](80) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CHO(16) + C2H5(13) <=> [CH2]C=O(58) + C2H6(8)\n",
+ " C[C]=O(59) + C2H6(8) <=> CH3CHO(16) + C2H5(13)\n",
+ " CH3CHO(16) + C2H5(13) <=> C[CH]OCC(194)\n",
+ " CH3CHO(16) + C2H5(13) <=> CCC(C)[O](195)\n",
+ " O(34) + C2H6(8) <=> OH(17) + C2H5(13)\n",
+ " OH(17) + C2H5(13) <=> CCO(147)\n",
+ " [CH2][CH2](55) + C2H5(13) <=> C2H4(18) + C2H5(13)\n",
+ " [CH]=C(60) + C2H6(8) <=> C2H4(18) + C2H5(13)\n",
+ " C2H4(18) + C2H5(13) <=> [CH2]CCC(196)\n",
+ " CH3CH(19) + C2H5(13) <=> C[CH]CC(197)\n",
+ " CH3CH(19) + C2H5(13) <=> [CH]=C(60) + C2H6(8)\n",
+ " [CH][CH2](62) + C2H6(8) <=> CH3CH(19) + C2H5(13)\n",
+ " CH3OO(20) + C2H5(13) <=> COO(81) + C2H4(18)\n",
+ " COO(81) + CH3CH(19) <=> CH3OO(20) + C2H5(13)\n",
+ " [CH2]O[O](63) + C2H6(8) <=> CH3OO(20) + C2H5(13)\n",
+ " CH3OO(20) + C2H5(13) <=> CCOOC(198)\n",
+ " [CH]O(78) + CH3O(44) <=> HCO(15) + CH3OH(14)\n",
+ " [CH]O(78) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n",
+ " CH2O(9) + CH3O(44) <=> HCO(15) + CH3OH(14)\n",
+ " CH2O(9) + CH2OH(47) <=> HCO(15) + CH3OH(14)\n",
+ " CH3O(44) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH3O(44) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH2OH(47) + C[CH]O(79) <=> CH3OH(14) + CH3CHO(16)\n",
+ " CH2OH(47) + CC[O](80) <=> CH3OH(14) + CH3CHO(16)\n",
+ " OH(17) + CH3OH(14) <=> H2O(5) + CH3O(44)\n",
+ " OH(17) + CH3OH(14) <=> H2O(5) + CH2OH(47)\n",
+ " CH3OH(14) + C2H4(18) <=> CCOC(199)\n",
+ " CH3OH(14) + C2H4(18) <=> CCCO(200)\n",
+ " CH3O(44) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n",
+ " CH2OH(47) + C2H5(13) <=> CH3OH(14) + C2H4(18)\n",
+ " CH3OH(14) + CH3CH(19) <=> CH3O(44) + C2H5(13)\n",
+ " CH3OH(14) + CH3CH(19) <=> CH2OH(47) + C2H5(13)\n",
+ " CH3O(44) + COO(81) <=> CH3OO(20) + CH3OH(14)\n",
+ " CH2OH(47) + COO(81) <=> CH3OO(20) + CH3OH(14)\n",
+ " CO(35) + [CH]O(78) <=> HCO(15) + HCO(15)\n",
+ " CO(35) + CH2O(9) <=> HCO(15) + HCO(15)\n",
+ " HCO(15) + HCO(15) <=> O=CC=O(150)\n",
+ " CO(35) + C[CH]O(79) <=> HCO(15) + CH3CHO(16)\n",
+ " CO(35) + CC[O](80) <=> HCO(15) + CH3CHO(16)\n",
+ " [CH]O(78) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n",
+ " [CH]O(78) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n",
+ " CH2O(9) + [CH2]C=O(58) <=> HCO(15) + CH3CHO(16)\n",
+ " CH2O(9) + C[C]=O(59) <=> HCO(15) + CH3CHO(16)\n",
+ " HCO(15) + CH3CHO(16) <=> C[CH]OC=O(201)\n",
+ " HCO(15) + CH3CHO(16) <=> CC([O])C=O(202)\n",
+ " O(34) + [CH]O(78) <=> OH(17) + HCO(15)\n",
+ " H2O(5) + CO(35) <=> OH(17) + HCO(15)\n",
+ " O(34) + CH2O(9) <=> OH(17) + HCO(15)\n",
+ " OH(17) + HCO(15) <=> O=CO(98)\n",
+ " CO(35) + C2H5(13) <=> HCO(15) + C2H4(18)\n",
+ " [CH]O(78) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n",
+ " CH2O(9) + [CH]=C(60) <=> HCO(15) + C2H4(18)\n",
+ " HCO(15) + C2H4(18) <=> [CH2]CC=O(154)\n",
+ " HCO(15) + CH3CH(19) <=> C[CH]C=O(203)\n",
+ " HCO(15) + CH3CH(19) <=> CH2O(9) + [CH]=C(60)\n",
+ " [CH]O(78) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n",
+ " [CH]O(78) + [C]C(140) <=> HCO(15) + CH3CH(19)\n",
+ " CO(35) + C2H5(13) <=> HCO(15) + CH3CH(19)\n",
+ " CH2O(9) + [CH][CH2](62) <=> HCO(15) + CH3CH(19)\n",
+ " HCO(15) + CH3OO(20) <=> CO(7) + COO(81)\n",
+ " [CH]O(78) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n",
+ " CO(35) + COO(81) <=> HCO(15) + CH3OO(20)\n",
+ " CH2O(9) + [CH2]O[O](63) <=> HCO(15) + CH3OO(20)\n",
+ " HCO(15) + CH3OO(20) <=> COOC=O(204)\n",
+ " CC([O])C(C)[O](205) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[CH]OC(C)[O](206) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[CH]OO[CH]C(207) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " CH3CHO(16) + CH3CHO(16) <=> CC1OOC1C(208)\n",
+ " [CH2]C=O(58) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " [CH2]C=O(58) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[C]=O(59) + C[CH]O(79) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C[C]=O(59) + CC[O](80) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C=COOCC(209) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " C=COC(C)O(210) <=> CH3CHO(16) + CH3CHO(16)\n",
+ " O(34) + C[CH]O(79) <=> OH(17) + CH3CHO(16)\n",
+ " O(34) + CC[O](80) <=> OH(17) + CH3CHO(16)\n",
+ " OH(17) + CH3CHO(16) <=> H2O(5) + [CH2]C=O(58)\n",
+ " OH(17) + CH3CHO(16) <=> H2O(5) + C[C]=O(59)\n",
+ " OH(17) + CH3CHO(16) <=> CC([O])O(211)\n",
+ " [CH2]CC(C)[O](212) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH2]CO[CH]C(213) <=> C2H4(18) + CH3CHO(16)\n",
+ " C2H4(18) + CH3CHO(16) <=> CC1CCO1(214)\n",
+ " [CH2]C=O(58) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n",
+ " C[C]=O(59) + C2H5(13) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH]=C(60) + C[CH]O(79) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH]=C(60) + CC[O](80) <=> C2H4(18) + CH3CHO(16)\n",
+ " C=COCC(215) <=> C2H4(18) + CH3CHO(16)\n",
+ " [CH][CH2](62) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [C]C(140) + C[CH]O(79) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [CH][CH2](62) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n",
+ " [C]C(140) + CC[O](80) <=> CH3CH(19) + CH3CHO(16)\n",
+ " CH3CH(19) + CH3CHO(16) <=> [CH2]C=O(58) + C2H5(13)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[C]=O(59) + C2H5(13)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[CH]O[CH]C(216)\n",
+ " CH3CH(19) + CH3CHO(16) <=> C[CH]C(C)[O](217)\n",
+ " [CH2]O[O](63) + C[CH]O(79) <=> CH3OO(20) + CH3CHO(16)\n",
+ " [CH2]O[O](63) + CC[O](80) <=> CH3OO(20) + CH3CHO(16)\n",
+ " COO(81) + [CH2]C=O(58) <=> CH3OO(20) + CH3CHO(16)\n",
+ " COO(81) + C[C]=O(59) <=> CH3OO(20) + CH3CHO(16)\n",
+ " CH3OO(20) + CH3CHO(16) <=> C[CH]OOOC(218)\n",
+ " CH3OO(20) + CH3CHO(16) <=> COOC(C)[O](219)\n",
+ " O(34) + C2H5(13) <=> OH(17) + C2H4(18)\n",
+ " OH(17) + C2H4(18) <=> H2O(5) + [CH]=C(60)\n",
+ " OH(17) + C2H4(18) <=> [CH2]CO(220)\n",
+ " OH(17) + CH3CH(19) <=> C[CH]O(79)\n",
+ " OH(17) + CH3CH(19) <=> H2O(5) + [CH]=C(60)\n",
+ " OH(17) + CH3CH(19) <=> O(34) + C2H5(13)\n",
+ " OH(17) + CH3CH(19) <=> H2O(5) + [CH][CH2](62)\n",
+ " O(34) + COO(81) <=> OH(17) + CH3OO(20)\n",
+ " OH(17) + CH3OO(20) <=> H2O(5) + [CH2]O[O](63)\n",
+ " OH(17) + CH3OO(20) <=> COOO(221)\n",
+ " [CH2]CC[CH2](222) <=> C2H4(18) + C2H4(18)\n",
+ " [CH]=C(60) + C2H5(13) <=> C2H4(18) + C2H4(18)\n",
+ " [CH][CH2](62) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " [C]C(140) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " [CH]=C(60) + C2H5(13) <=> C2H4(18) + CH3CH(19)\n",
+ " C2H4(18) + CH3CH(19) <=> [CH2]C[CH]C(223)\n",
+ " [CH2]O[O](63) + C2H5(13) <=> CH3OO(20) + C2H4(18)\n",
+ " COO(81) + [CH]=C(60) <=> CH3OO(20) + C2H4(18)\n",
+ " CH3OO(20) + C2H4(18) <=> [CH2]COOC(224)\n",
+ " CH3CH(19) + CH3CH(19) <=> [CH]=C(60) + C2H5(13)\n",
+ " CH3CH(19) + CH3CH(19) <=> [CH][CH2](62) + C2H5(13)\n",
+ " CH3OO(20) + CH3CH(19) <=> C[CH]OOC(225)\n",
+ " CH3OO(20) + CH3CH(19) <=> COO(81) + [CH]=C(60)\n",
+ " COO(81) + [CH][CH2](62) <=> CH3OO(20) + CH3CH(19)\n",
+ " CH3OO(20) + CH3CH(19) <=> [CH2]O[O](63) + C2H5(13)\n",
+ " [CH2]O[O](63) + COO(81) <=> CH3OO(20) + CH3OO(20)\n",
+ " CH3OO(20) + CH3OO(20) <=> COOOOC(226)\n",
+ " HX(21) + CO2X(22) <=> X(1) + O=C[O][Pt](227)\n",
+ " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n",
+ " O=C[O][Pt](227) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " O=C[O][Pt](227) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " X(1) + CC(=O)[O][Pt](230) <=> CO2X(22) + CH3X(27)\n",
+ " X(1) + CO[C](=O)[Pt](231) <=> CO2X(22) + CH3X(27)\n",
+ " OX(25) + O=C[O][Pt](227) <=> OHX(31) + CO2X(22)\n",
+ " X(1) + O=C(O)[O][Pt](232) <=> OHX(31) + CO2X(22)\n",
+ " X(1) + O=[C]([Pt])OO(233) <=> OHX(31) + CO2X(22)\n",
+ " OHX(31) + O=C[O][Pt](227) <=> H2OX(32) + CO2X(22)\n",
+ " COX(23) + O=C[O][Pt](227) <=> CO2X(22) + CHOX(33)\n",
+ " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + O=CC(=O)[O][Pt](234) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + O=CO[C](=O)[Pt](235) <=> CO2X(22) + CHOX(33)\n",
+ " X(1) + X(1) + O=C=C=O(236) <=> COX(23) + COX(23)\n",
+ " X(1) + O=C=C=O.[Pt](237) <=> COX(23) + COX(23)\n",
+ " COX(23) + CH4X(24) <=> HX(21) + C[C](=O)[Pt](70)\n",
+ " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n",
+ " X(1) + X(1) + C=C=O(238) <=> COX(23) + CH2X(26)\n",
+ " X(1) + C=C=O.[Pt](239) <=> COX(23) + CH2X(26)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " X(1) + C[C](=O)[Pt](70) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n",
+ " X(1) + O=C=[CH][Pt](240) <=> COX(23) + CHX(28)\n",
+ " X(1) + O=C=[C]=[Pt](241) <=> CX(29) + COX(23)\n",
+ " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n",
+ " X(1) + OO[C]#[Pt](242) <=> OHX(31) + COX(23)\n",
+ " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n",
+ " X(1) + O=C[C](=O)[Pt](243) <=> COX(23) + CHOX(33)\n",
+ " OX(25) + CH4X(24) <=> HX(21) + CH3O_X(45)\n",
+ " CH2X(26) + CH4X(24) <=> HX(21) + C[CH2][Pt](64)\n",
+ " CHX(28) + CH4X(24) <=> HX(21) + C[CH]=[Pt](71)\n",
+ " CX(29) + CH4X(24) <=> HX(21) + C[C]#[Pt](244)\n",
+ " CH2O_X(46) + CH3X(27) <=> CHOX(33) + CH4X(24)\n",
+ " X(1) + O=O.[Pt](245) <=> OX(25) + OX(25)\n",
+ " X(1) + CH2O_X(46) <=> OX(25) + CH2X(26)\n",
+ " X(1) + CH3O_X(45) <=> OX(25) + CH3X(27)\n",
+ " X(1) + O[O][Pt](246) <=> OX(25) + OHX(31)\n",
+ " OX(25) + H2OX(32) <=> HX(21) + O[O][Pt](246)\n",
+ " X(1) + O=C[O][Pt](227) <=> OX(25) + CHOX(33)\n",
+ " X(1) + C=C.[Pt](74) <=> CH2X(26) + CH2X(26)\n",
+ " X(1) + C[CH2][Pt](64) <=> CH2X(26) + CH3X(27)\n",
+ " X(1) + C=[CH][Pt](73) <=> CHX(28) + CH2X(26)\n",
+ " X(1) + C=[C]=[Pt](247) <=> CX(29) + CH2X(26)\n",
+ " X(1) + CH2OH_X(48) <=> OHX(31) + CH2X(26)\n",
+ " H2OX(32) + CH2X(26) <=> HX(21) + CH2OH_X(48)\n",
+ " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n",
+ " CHX(28) + CH2O_X(46) <=> CHOX(33) + CH2X(26)\n",
+ " X(1) + O=C[CH2][Pt](69) <=> CHOX(33) + CH2X(26)\n",
+ " X(1) + CC.[Pt](65) <=> CH3X(27) + CH3X(27)\n",
+ " X(1) + C[CH]=[Pt](71) <=> CHX(28) + CH3X(27)\n",
+ " X(1) + C[C]#[Pt](244) <=> CX(29) + CH3X(27)\n",
+ " X(1) + CH3OH_X(43) <=> OHX(31) + CH3X(27)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n",
+ " CH2X(26) + CH2O_X(46) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + CC=O.[Pt](72) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n",
+ " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n",
+ " CX(29) + CH2O_X(46) <=> CHX(28) + CHOX(33)\n",
+ " X(1) + O=C[CH]=[Pt](248) <=> CHX(28) + CHOX(33)\n",
+ " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n",
+ " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n",
+ " X(1) + O=C[C]#[Pt](249) <=> CX(29) + CHOX(33)\n",
+ " X(1) + X(1) + H2O2(51) <=> OHX(31) + OHX(31)\n",
+ " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n",
+ " OX(25) + CH2O_X(46) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + X(1) + O=CO(98) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + OO[CH]=[Pt](250) <=> OHX(31) + CHOX(33)\n",
+ " X(1) + O=CO.[Pt](251) <=> OHX(31) + CHOX(33)\n",
+ " OHX(31) + CH2O_X(46) <=> H2OX(32) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n",
+ " COX(23) + CH2O_X(46) <=> CHOX(33) + CHOX(33)\n",
+ " X(1) + X(1) + O=CC=O(150) <=> CHOX(33) + CHOX(33)\n",
+ " X(1) + O=CC=O.[Pt](252) <=> CHOX(33) + CHOX(33)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 36 species and 109 reactions\n",
+ " The model edge has 219 species and 613 reactions\n",
+ "\n",
+ "\n",
+ "Completed initial enlarge edge step.\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 63 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 63 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 180 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 180 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:38\n",
+ " Memory used: 884.54 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Beginning model generation stage 1...\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 1.1739e-09 s, species O[CH]=[Pt](229) at rate ratio 0.10132134133573455 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n",
+ "\n",
+ "\n",
+ "Adding species O[CH]=[Pt](229) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O[CH]=[Pt](229)\n",
+ "Created 0 new edge species\n",
+ "Moved 8 reactions from edge to core\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + CHOX(33)\n",
+ " CHX(28) + O[CH]=[Pt](229) <=> CHOX(33) + CH2X(26)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHOX(33) + CH3X(27)\n",
+ " X(1) + O[CH]=[Pt](229) <=> OHX(31) + CHX(28)\n",
+ " H2OX(32) + CHX(28) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + CHOX(33)\n",
+ " OX(25) + O[CH]=[Pt](229) <=> OHX(31) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHOX(33) + CHOX(33)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 37 species and 117 reactions\n",
+ " The model edge has 218 species and 605 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "For reaction OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229), Ea raised from 48.7 to 53.2 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 143.8 to 146.0 kJ/mol to match endothermicity of reaction.\n",
+ "For reaction X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229), Ea raised from 58.3 to 62.4 kJ/mol to match endothermicity of reaction.\n",
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 11 new edge species\n",
+ " O=C=CO(253)\n",
+ " O=C=CO.[Pt](254)\n",
+ " C[CH](O)[Pt](255)\n",
+ " C=CO.[Pt](256)\n",
+ " OC=[CH][Pt](257)\n",
+ " OC=[C]=[Pt](258)\n",
+ " OO.[Pt](259)\n",
+ " O[CH](O)[Pt](260)\n",
+ " O=C[CH](O)[Pt](261)\n",
+ " OC=CO(262)\n",
+ " OC=CO.[Pt](263)\n",
+ "Added 0 new core reactions\n",
+ "Created 48 new edge reactions\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n",
+ " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " X(1) + CH2OH_X(48) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n",
+ " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " CHX(28) + OO[C]#[Pt](242) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " X(1) + X(1) + O=C=CO(253) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C=CO.[Pt](254) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[CH]=[Pt](229) + CH4X(24) <=> CH3X(27) + CH2OH_X(48)\n",
+ " O[CH]=[Pt](229) + CH4X(24) <=> HX(21) + C[CH](O)[Pt](255)\n",
+ " O[O][Pt](246) + CHX(28) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " X(1) + X(1) + O=CO(98) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " X(1) + O=CO.[Pt](251) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> CHX(28) + CH2OH_X(48)\n",
+ " X(1) + X(1) + C=CO(57) <=> CH2X(26) + O[CH]=[Pt](229)\n",
+ " X(1) + C=CO.[Pt](256) <=> CH2X(26) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + CH2OH_X(48) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " CHX(28) + CH3OH_X(43) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " X(1) + C[CH](O)[Pt](255) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + CH2OH_X(48) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " X(1) + OC=[CH][Pt](257) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " X(1) + OC=[C]=[Pt](258) <=> CX(29) + O[CH]=[Pt](229)\n",
+ " H2X(30) + O[CH]=[Pt](229) <=> HX(21) + CH2OH_X(48)\n",
+ " OHX(31) + O[CH]=[Pt](229) <=> OX(25) + CH2OH_X(48)\n",
+ " OO.[Pt](259) + CHX(28) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " X(1) + O[CH](O)[Pt](260) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " H2OX(32) + O[CH]=[Pt](229) <=> OHX(31) + CH2OH_X(48)\n",
+ " H2OX(32) + O[CH]=[Pt](229) <=> HX(21) + O[CH](O)[Pt](260)\n",
+ " CHOX(33) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n",
+ " CHX(28) + OO[CH]=[Pt](250) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " CHX(28) + O=CO.[Pt](251) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + CH2O_X(46) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C[CH](O)[Pt](261) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHX(28) + O[CH](O)[Pt](260)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH2OH_X(48)\n",
+ " O[CH]=[Pt](229) + O[CH]=[Pt](229) <=> CHOX(33) + CH2OH_X(48)\n",
+ " X(1) + X(1) + OC=CO(262) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n",
+ " X(1) + OC=CO.[Pt](263) <=> O[CH]=[Pt](229) + O[CH]=[Pt](229)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 37 species and 117 reactions\n",
+ " The model edge has 229 species and 653 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 71 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 71 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 228 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 228 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:46\n",
+ " Memory used: 886.18 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 7.1661e-10 s, species O[C]#[Pt](228) at rate ratio 0.10217273902218742 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n",
+ "\n",
+ "\n",
+ "Adding species O[C]#[Pt](228) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " O[C]#[Pt](228)\n",
+ "Created 0 new edge species\n",
+ "Moved 20 reactions from edge to core\n",
+ " X(1) + O[C]#[Pt](228) <=> HX(21) + COX(23)\n",
+ " CHX(28) + O[C]#[Pt](228) <=> COX(23) + CH2X(26)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> COX(23) + CH3X(27)\n",
+ " CX(29) + O[C]#[Pt](228) <=> COX(23) + CHX(28)\n",
+ " OX(25) + O[C]#[Pt](228) <=> OHX(31) + COX(23)\n",
+ " COX(23) + O[C]#[Pt](228) <=> COX(23) + CHOX(33)\n",
+ " X(1) + O[C]#[Pt](228) <=> OHX(31) + CX(29)\n",
+ " H2OX(32) + CX(29) <=> HX(21) + O[C]#[Pt](228)\n",
+ " X(1) + O[CH]=[Pt](229) <=> HX(21) + O[C]#[Pt](228)\n",
+ " H2X(30) + O[C]#[Pt](228) <=> HX(21) + O[CH]=[Pt](229)\n",
+ " CHOX(33) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C]#[Pt](228) <=> COX(23) + O[CH]=[Pt](229)\n",
+ " OHX(31) + O[C]#[Pt](228) <=> OX(25) + O[CH]=[Pt](229)\n",
+ " CH2X(26) + O[CH]=[Pt](229) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> O[CH]=[Pt](229) + CH3X(27)\n",
+ " O[C]#[Pt](228) + CH2X(26) <=> CHX(28) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH]=[Pt](229) <=> CHX(28) + O[C]#[Pt](228)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> OHX(31) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> CHOX(33) + O[CH]=[Pt](229)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 38 species and 137 reactions\n",
+ " The model edge has 228 species and 633 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 6 new edge species\n",
+ " O=C=[C](O)[Pt](264)\n",
+ " C[C](O)=[Pt](265)\n",
+ " C=[C](O)[Pt](266)\n",
+ " O[C](O)=[Pt](267)\n",
+ " O=C[C](O)=[Pt](268)\n",
+ " OC=[C](O)[Pt](269)\n",
+ "Added 0 new core reactions\n",
+ "Created 21 new edge reactions\n",
+ " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n",
+ " CX(29) + OO[C]#[Pt](242) <=> COX(23) + O[C]#[Pt](228)\n",
+ " X(1) + O=C=[C](O)[Pt](264) <=> COX(23) + O[C]#[Pt](228)\n",
+ " O[C]#[Pt](228) + CH4X(24) <=> HX(21) + C[C](O)=[Pt](265)\n",
+ " O[O][Pt](246) + CX(29) <=> OX(25) + O[C]#[Pt](228)\n",
+ " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n",
+ " CX(29) + CH2OH_X(48) <=> O[C]#[Pt](228) + CH2X(26)\n",
+ " X(1) + C=[C](O)[Pt](266) <=> O[C]#[Pt](228) + CH2X(26)\n",
+ " CX(29) + CH3OH_X(43) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " X(1) + C[C](O)=[Pt](265) <=> O[C]#[Pt](228) + CH3X(27)\n",
+ " OO.[Pt](259) + CX(29) <=> OHX(31) + O[C]#[Pt](228)\n",
+ " X(1) + O[C](O)=[Pt](267) <=> OHX(31) + O[C]#[Pt](228)\n",
+ " H2OX(32) + O[C]#[Pt](228) <=> HX(21) + O[C](O)=[Pt](267)\n",
+ " CX(29) + OO[CH]=[Pt](250) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " CX(29) + O=CO.[Pt](251) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " X(1) + O=C[C](O)=[Pt](268) <=> CHOX(33) + O[C]#[Pt](228)\n",
+ " CX(29) + O[CH](O)[Pt](260) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " CHX(28) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[CH]=[Pt](229) <=> COX(23) + CH2OH_X(48)\n",
+ " X(1) + OC=[C](O)[Pt](269) <=> O[C]#[Pt](228) + O[CH]=[Pt](229)\n",
+ " CX(29) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + O[C]#[Pt](228)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 38 species and 137 reactions\n",
+ " The model edge has 234 species and 654 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 91 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 91 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 249 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 249 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:00:55\n",
+ " Memory used: 886.18 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Reached max number of objects...preparing to terminate\n",
+ "At time 4.0525e-09 s, species COOH_X(37) at rate ratio 0.10037397535966601 exceeded the minimum rate for moving to model core of 0.1\n",
+ "terminating simulation due to interrupt...\n",
+ "\n",
+ "\n",
+ "Adding species COOH_X(37) to model core\n",
+ "\n",
+ "Summary of Model Enlargement\n",
+ "---------------------------------\n",
+ "Added 1 new core species\n",
+ " COOH_X(37)\n",
+ "Created 0 new edge species\n",
+ "Moved 11 reactions from edge to core\n",
+ " X(1) + COOH_X(37) <=> OHX(31) + COX(23)\n",
+ " X(1) + COOH_X(37) <=> HX(21) + CO2X(22)\n",
+ " H2OX(32) + COX(23) <=> HX(21) + COOH_X(37)\n",
+ " OHX(31) + CO2X(22) <=> OX(25) + COOH_X(37)\n",
+ " H2OX(32) + CO2X(22) <=> OHX(31) + COOH_X(37)\n",
+ " COOH_X(37) + CH3X(27) <=> CO2X(22) + CH4X(24)\n",
+ " COOH_X(37) + CH2X(26) <=> CO2X(22) + CH3X(27)\n",
+ " COX(23) + COOH_X(37) <=> CO2X(22) + CHOX(33)\n",
+ " COX(23) + O[CH]=[Pt](229) <=> CHX(28) + COOH_X(37)\n",
+ " CX(29) + COOH_X(37) <=> COX(23) + O[C]#[Pt](228)\n",
+ " X(1) + COOH_X(37) <=> OX(25) + O[C]#[Pt](228)\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 233 species and 643 reactions\n",
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Generating thermo for new species...\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 16 new edge species\n",
+ " O=C(O)C(=O)[O][Pt](270)\n",
+ " O=C(O)O[C](=O)[Pt](271)\n",
+ " O=C(O)[C](=O)[Pt](272)\n",
+ " O=C(O)[CH2][Pt](273)\n",
+ " CC(=O)O.[Pt](274)\n",
+ " O=C(O)[CH]=[Pt](275)\n",
+ " O=C(O)[C]#[Pt](276)\n",
+ " O=C(O)O(277)\n",
+ " OO[C](O)=[Pt](278)\n",
+ " O=C(O)O.[Pt](279)\n",
+ " O=CC(=O)O(280)\n",
+ " O=CC(=O)O.[Pt](281)\n",
+ " O=C(O)[CH](O)[Pt](282)\n",
+ " O=C(O)[C](O)=[Pt](283)\n",
+ " O=C(O)C(=O)O(284)\n",
+ " O=C(O)C(=O)O.[Pt](285)\n",
+ "Added 0 new core reactions\n",
+ "Created 55 new edge reactions\n",
+ " X(1) + X(1) + O=CO(98) <=> HX(21) + COOH_X(37)\n",
+ " X(1) + O[C](O)=[Pt](267) <=> HX(21) + COOH_X(37)\n",
+ " HX(21) + COOH_X(37) <=> X(1) + O=CO.[Pt](251)\n",
+ " COX(23) + O=C(O)[O][Pt](232) <=> CO2X(22) + COOH_X(37)\n",
+ " COX(23) + O=[C]([Pt])OO(233) <=> CO2X(22) + COOH_X(37)\n",
+ " X(1) + O=C(O)C(=O)[O][Pt](270) <=> CO2X(22) + COOH_X(37)\n",
+ " X(1) + O=C(O)O[C](=O)[Pt](271) <=> CO2X(22) + COOH_X(37)\n",
+ " COX(23) + OO[C]#[Pt](242) <=> COX(23) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C](=O)[Pt](272) <=> COX(23) + COOH_X(37)\n",
+ " O=CO.[Pt](251) + CH3X(27) <=> COOH_X(37) + CH4X(24)\n",
+ " O[O][Pt](246) + COX(23) <=> OX(25) + COOH_X(37)\n",
+ " X(1) + O=C(O)[O][Pt](232) <=> OX(25) + COOH_X(37)\n",
+ " COOH_X(37) + CH2X(26) <=> COX(23) + CH2OH_X(48)\n",
+ " CHX(28) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH2X(26)\n",
+ " CHX(28) + O=CO.[Pt](251) <=> COOH_X(37) + CH2X(26)\n",
+ " X(1) + O=C(O)[CH2][Pt](273) <=> COOH_X(37) + CH2X(26)\n",
+ " CH2X(26) + O[C](O)=[Pt](267) <=> COOH_X(37) + CH3X(27)\n",
+ " COX(23) + CH3OH_X(43) <=> COOH_X(37) + CH3X(27)\n",
+ " CH2X(26) + O=CO.[Pt](251) <=> COOH_X(37) + CH3X(27)\n",
+ " X(1) + X(1) + CC(=O)O(77) <=> COOH_X(37) + CH3X(27)\n",
+ " X(1) + CC(=O)O.[Pt](274) <=> COOH_X(37) + CH3X(27)\n",
+ " CX(29) + O[C](O)=[Pt](267) <=> CHX(28) + COOH_X(37)\n",
+ " CX(29) + O=CO.[Pt](251) <=> CHX(28) + COOH_X(37)\n",
+ " X(1) + O=C(O)[CH]=[Pt](275) <=> CHX(28) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C]#[Pt](276) <=> CX(29) + COOH_X(37)\n",
+ " OX(25) + O[C](O)=[Pt](267) <=> OHX(31) + COOH_X(37)\n",
+ " OO.[Pt](259) + COX(23) <=> OHX(31) + COOH_X(37)\n",
+ " OX(25) + O=CO.[Pt](251) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + X(1) + O=C(O)O(277) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + OO[C](O)=[Pt](278) <=> OHX(31) + COOH_X(37)\n",
+ " X(1) + O=C(O)O.[Pt](279) <=> OHX(31) + COOH_X(37)\n",
+ " OHX(31) + O=CO.[Pt](251) <=> H2OX(32) + COOH_X(37)\n",
+ " COX(23) + OO[CH]=[Pt](250) <=> CHOX(33) + COOH_X(37)\n",
+ " COX(23) + O[C](O)=[Pt](267) <=> CHOX(33) + COOH_X(37)\n",
+ " CHOX(33) + COOH_X(37) <=> CO2X(22) + CH2O_X(46)\n",
+ " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n",
+ " COX(23) + O=CO.[Pt](251) <=> CHOX(33) + COOH_X(37)\n",
+ " X(1) + X(1) + O=CC(=O)O(280) <=> CHOX(33) + COOH_X(37)\n",
+ " X(1) + O=CC(=O)O.[Pt](281) <=> CHOX(33) + COOH_X(37)\n",
+ " COOH_X(37) + O[CH]=[Pt](229) <=> COX(23) + O[CH](O)[Pt](260)\n",
+ " CHX(28) + OO[C](O)=[Pt](278) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O[C](O)=[Pt](267) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " COOH_X(37) + O[CH]=[Pt](229) <=> CO2X(22) + CH2OH_X(48)\n",
+ " CHX(28) + O=C(O)O.[Pt](279) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " O[C]#[Pt](228) + O=CO.[Pt](251) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " X(1) + O=C(O)[CH](O)[Pt](282) <=> COOH_X(37) + O[CH]=[Pt](229)\n",
+ " COX(23) + O[C](O)=[Pt](267) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " CX(29) + OO[C](O)=[Pt](278) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " CX(29) + O=C(O)O.[Pt](279) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " X(1) + O=C(O)[C](O)=[Pt](283) <=> O[C]#[Pt](228) + COOH_X(37)\n",
+ " COX(23) + OO[C](O)=[Pt](278) <=> COOH_X(37) + COOH_X(37)\n",
+ " COOH_X(37) + COOH_X(37) <=> CO2X(22) + O=CO.[Pt](251)\n",
+ " COX(23) + O=C(O)O.[Pt](279) <=> COOH_X(37) + COOH_X(37)\n",
+ " X(1) + X(1) + O=C(O)C(=O)O(284) <=> COOH_X(37) + COOH_X(37)\n",
+ " X(1) + O=C(O)C(=O)O.[Pt](285) <=> COOH_X(37) + COOH_X(37)\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 249 species and 698 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:01:08\n",
+ " Memory used: 886.18 MB\n",
+ "\n",
+ "Making seed mechanism...\n",
+ "Conducting simulation of reaction system 1...\n",
+ "Warning: Pressure may be varying, but using initial pressure to evaluate k(T,P) expressions!\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "At time 6.5270e-06 s, reached target termination RateRatio: 0.049852590916326926\n",
+ " CH4(2) conversion: 0.7285 \n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "\n",
+ "\n",
+ "For reaction generation 1 process is used.\n",
+ "\n",
+ "Summary of Secondary Model Edge Enlargement\n",
+ "---------------------------------\n",
+ "Added 0 new core species\n",
+ "Created 0 new edge species\n",
+ "Added 0 new core reactions\n",
+ "Created 0 new edge reactions\n",
+ "\n",
+ "After model enlargement:\n",
+ " The model core has 39 species and 148 reactions\n",
+ " The model edge has 249 species and 698 reactions\n",
+ "\n",
+ "\n",
+ "Saving current model core to Chemkin file...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 46 reactions.\n",
+ "Chemkin file contains 102 reactions.\n",
+ "Saving current model core and edge to Chemkin file...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving annotated version of Chemkin files...\n",
+ "Chemkin file contains 545 reactions.\n",
+ "Chemkin file contains 304 reactions.\n",
+ "Saving current model core to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Saving current model edge to HTML file...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Updating RMG execution statistics...\n",
+ " Execution time (DD:HH:MM:SS): 00:00:01:48\n",
+ " Memory used: 890.50 MB\n",
+ "\n",
+ "Making seed mechanism...\n"
+ ]
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Performing final model checks...\n",
+ "No collision rate violators found in the model's core.\n",
+ "\n",
+ "MODEL GENERATION COMPLETED\n",
+ "\n",
+ "The final model core has 39 species and 148 reactions\n",
+ "The final model edge has 249 species and 698 reactions\n",
+ "\n",
+ "RMG execution terminated at Thu Apr 16 08:26:21 2026\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "0"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "base_rmg_run_dir = os.path.join('temp', 'base_rmg_run')\n",
+ "cov_dep_rmg_run_dir = os.path.join('temp', 'cov_dep_rmg_run')\n",
+ "os.makedirs(base_rmg_run_dir, exist_ok=True)\n",
+ "os.makedirs(cov_dep_rmg_run_dir, exist_ok=True)\n",
+ "\n",
+ "input_file = \"\"\"\n",
+ "# Data sources\n",
+ "database(\n",
+ " thermoLibraries=['surfaceThermoCovDepPt111', 'surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC','DFT_QCI_thermo'],\n",
+ " reactionLibraries = [\n",
+ " ('Surface/Methane/Deutschmann_Pt', False),\n",
+ " ('Surface/Methane/Vlachos_Pt111', False),\n",
+ " 'BurkeH2O2inArHe'],\n",
+ " seedMechanisms = [],\n",
+ " kineticsDepositories = ['training'],\n",
+ " kineticsFamilies =['surface','default'],\n",
+ " kineticsEstimator = 'rate rules',\n",
+ ")\n",
+ "\n",
+ "catalystProperties( # default values for Pt(111)\n",
+ " metal = 'Pt111',\n",
+ " thermoCoverageDependence = False,\n",
+ ")\n",
+ "\n",
+ "# List of species\n",
+ "species(\n",
+ " label='X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\"1 X u0\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH4]\"),\n",
+ ")\n",
+ "species(\n",
+ " label='O2',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u1 p2 c0 {2,S}\n",
+ " 2 O u1 p2 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='Ar',\n",
+ " reactive=False,\n",
+ " structure=SMILES(\"[Ar]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O=C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H][H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[C-]#[O+]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H6',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2O',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH3]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C3H8',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CCC\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[H]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H5',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C[CH2]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HCO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CHO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CC=O\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[OH]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='C2H4',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"C=C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3CH',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"[CH]C\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3OO',\n",
+ " reactive=True,\n",
+ " structure=SMILES(\"CO[O]\"),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='HX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CO2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {3,D}\n",
+ " 2 O u0 p2 c0 {3,D}\n",
+ " 3 C u0 p0 c0 {1,D} {2,D}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='COX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,D}\n",
+ " 3 X u0 p0 c0 {2,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH4X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 H u0 p0 c0 {1,S}\n",
+ " 6 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,D}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0 {1,D}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CH3X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 H u0 p0 c0 {1,S}\n",
+ " 5 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,S} {3,T}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,T}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 C u0 p0 c0 {2,Q}\n",
+ " 2 X u0 p0 c0 {1,Q}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2X',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 H u0 p0 c0 {2,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='OHX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 X u0 p0 c0 {1,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='H2OX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,S} {3,S}\n",
+ " 2 H u0 p0 c0 {1,S}\n",
+ " 3 H u0 p0 c0 {1,S}\n",
+ " 4 X u0 p0 c0\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "species(\n",
+ " label='CHOX',\n",
+ " reactive=True,\n",
+ " structure=adjacencyList(\n",
+ " '''\n",
+ " 1 O u0 p2 c0 {2,D}\n",
+ " 2 C u0 p0 c0 {1,D} {3,S} {4,S}\n",
+ " 3 H u0 p0 c0 {2,S}\n",
+ " 4 X u0 p0 c0 {2,S}\n",
+ " '''),\n",
+ ")\n",
+ "\n",
+ "surfaceReactor(\n",
+ " temperature=(1000,'K'),\n",
+ " initialPressure=(1.0, 'bar'),\n",
+ " initialGasMoleFractions={\n",
+ " \"CH4\": 0.041866,\n",
+ " \"O2\": 0.03488,\n",
+ " \"Ar\": 0.131246,\n",
+ " },\n",
+ " initialSurfaceCoverages={\n",
+ " \"X\": 1.0,\n",
+ " },\n",
+ " surfaceVolumeRatio=(1.e5, 'm^-1'),\n",
+ " terminationConversion = { \"CH4\":0.95,},\n",
+ " terminationTime=(10., 's'),\n",
+ " # terminationConversion={'O2': 0.99,},\n",
+ " terminationRateRatio=0.05\n",
+ ")\n",
+ "\n",
+ "\n",
+ "simulator(\n",
+ " atol=1e-18,\n",
+ " rtol=1e-12,\n",
+ ")\n",
+ "\n",
+ "model(\n",
+ " toleranceKeepInEdge=0.0,\n",
+ " toleranceMoveToCore=1e-1,\n",
+ " toleranceInterruptSimulation=1e8,\n",
+ " maximumEdgeSpecies=500000,\n",
+ " maxNumSpecies=40,\n",
+ ")\n",
+ "\n",
+ "options(\n",
+ " units='si',\n",
+ " saveRestartPeriod=None,\n",
+ " generateOutputHTML=True,\n",
+ " generatePlots=False,\n",
+ " saveEdgeSpecies=True,\n",
+ " saveSimulationProfiles=True,\n",
+ ")\n",
+ "\n",
+ "generatedSpeciesConstraints(\n",
+ " allowed=['input species','reaction libraries'],\n",
+ " maximumSurfaceSites=1,\n",
+ ")\n",
+ "\"\"\"\n",
+ "\n",
+ "rmgpy_path = '../rmg.py' # Change to your rmg.py path\n",
+ "\n",
+ "\n",
+ "input_path = os.path.join(base_rmg_run_dir, 'input.py')\n",
+ "with open(input_path,'w') as f:\n",
+ " f.write(input_file)\n",
+ "print(f\"Running RMG with input file at {input_path}...\")\n",
+ "subprocess.check_call(['python', rmgpy_path, input_path])\n",
+ "\n",
+ "\n",
+ "# repeat for coverage dependent run\n",
+ "input_path = os.path.join(cov_dep_rmg_run_dir, 'input.py')\n",
+ "input_file = input_file.replace('thermoCoverageDependence = False', 'thermoCoverageDependence = True')\n",
+ "with open(input_path,'w') as f:\n",
+ " f.write(input_file)\n",
+ "print(f\"Running RMG with input file at {input_path}...\")\n",
+ "subprocess.check_call(['python', rmgpy_path, input_path])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "4493ff2a",
+ "metadata": {},
+ "source": [
+ "# Simulate the RMG mechanisms"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "ad06f6c3",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Base mechanism contains 22 gas species and 17 surface species\n",
+ "Coverage-dependent mechanism contains 22 gas species and 17 surface species\n"
+ ]
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/tmp/ipykernel_663369/4041569244.py:4: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n",
+ "at T = 200.0\n",
+ "at T = 500.0\n",
+ "at T = 1000.0\n",
+ "at T = 2000.0\n",
+ "at T = 5000.0\n",
+ "at T = 10000.0\n",
+ "\n",
+ " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n",
+ "/tmp/ipykernel_663369/4041569244.py:4: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n",
+ "at T = 200.0\n",
+ "at T = 500.0\n",
+ "at T = 1000.0\n",
+ "at T = 2000.0\n",
+ "at T = 5000.0\n",
+ "at T = 10000.0\n",
+ "\n",
+ " surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n",
+ "/tmp/ipykernel_663369/4041569244.py:10: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'H(12) + X(1) <=> HX(21)'\n",
+ "at T = 200.0\n",
+ "at T = 500.0\n",
+ "at T = 1000.0\n",
+ "at T = 2000.0\n",
+ "at T = 5000.0\n",
+ "at T = 10000.0\n",
+ "\n",
+ " surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n",
+ "/tmp/ipykernel_663369/4041569244.py:10: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'OH(17) + X(1) <=> OHX(31)'\n",
+ "at T = 200.0\n",
+ "at T = 500.0\n",
+ "at T = 1000.0\n",
+ "at T = 2000.0\n",
+ "at T = 5000.0\n",
+ "at T = 10000.0\n",
+ "\n",
+ " surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Load mechanism\n",
+ "base_mech_yaml = os.path.join(base_rmg_run_dir, 'cantera', 'chem_annotated.yaml')\n",
+ "gas_base = ct.Solution(base_mech_yaml)\n",
+ "surf_base = ct.Interface(base_mech_yaml, 'SURF0', [gas_base])\n",
+ "print(f'Base mechanism contains {gas_base.n_species} gas species and {surf_base.n_species} surface species')\n",
+ "\n",
+ "\n",
+ "cov_dep_mech_yaml = os.path.join(cov_dep_rmg_run_dir, 'cantera', 'chem_annotated.yaml')\n",
+ "gas_cov_dep = ct.Solution(cov_dep_mech_yaml)\n",
+ "surf_cov_dep = ct.Interface(cov_dep_mech_yaml, 'SURF0', [gas_cov_dep])\n",
+ "print(f'Coverage-dependent mechanism contains {gas_cov_dep.n_species} gas species and {surf_cov_dep.n_species} surface species')\n",
+ "\n",
+ "def get_i_thing(ref_composition, phase):\n",
+ "\tfor i in range(phase.n_species):\n",
+ "\t\tif phase.species()[i].composition == ref_composition:\n",
+ "\t\t\treturn i\n",
+ "\treturn -1\n",
+ "\n",
+ "\n",
+ "# simulate\n",
+ "# Set initial conditions\n",
+ "T = 1000.0 # K\n",
+ "P = 100000.0 # Pa\n",
+ "i_CO_base = get_i_thing({'C': 1, 'O': 1}, gas_base)\n",
+ "i_H2_base = get_i_thing({'H': 2}, gas_base)\n",
+ "\n",
+ "initial_mole_fractions = f'{gas_base.species_names[i_CO_base]}: 0.5, {gas_base.species_names[i_H2_base]}: 0.5'\n",
+ "initial_surface_coverages = 'X(1): 1.0'\n",
+ "\n",
+ "\n",
+ "gas_base.TPX = T, P, initial_mole_fractions\n",
+ "gas_reactor = ct.IdealGasReactor(gas_base, energy='off') # energy off makes it isothermal\n",
+ "\n",
+ "surf_base.TP = T, P \n",
+ "surf_base.coverages = initial_surface_coverages\n",
+ "surf_reactor = ct.ReactorSurface(surf_base, gas_reactor)\n",
+ "\n",
+ "net = ct.ReactorNet([gas_reactor])\n",
+ "\n",
+ "times_base = [net.time]\n",
+ "gas_concentrations_base = [gas_base.X]\n",
+ "surf_concentrations_base = [surf_base.coverages]\n",
+ "\n",
+ "termination_time = 1.0 # s\n",
+ "while net.time < termination_time:\n",
+ " net.step()\n",
+ " times_base.append(net.time)\n",
+ " gas_concentrations_base.append(gas_base.X)\n",
+ " surf_concentrations_base.append(surf_base.coverages)\n",
+ "\n",
+ "times_base = np.array(times_base)\n",
+ "gas_concentrations_base = np.array(gas_concentrations_base)\n",
+ "surf_concentrations_base = np.array(surf_concentrations_base)\n",
+ "\n",
+ "\n",
+ "# --------------------- Run coverage-dependent simulation ---------------------\n",
+ "i_CO_cov_dep = get_i_thing({'C': 1, 'O': 1}, gas_cov_dep)\n",
+ "i_H2_cov_dep = get_i_thing({'H': 2}, gas_cov_dep)\n",
+ "\n",
+ "initial_mole_fractions = f'{gas_cov_dep.species_names[i_CO_cov_dep]}: 0.5, {gas_cov_dep.species_names[i_H2_cov_dep]}: 0.5'\n",
+ "initial_surface_coverages = 'X(1): 1.0'\n",
+ "\n",
+ "\n",
+ "gas_cov_dep.TPX = T, P, initial_mole_fractions\n",
+ "gas_reactor = ct.IdealGasReactor(gas_cov_dep, energy='off') # energy off makes it isothermal\n",
+ "\n",
+ "surf_cov_dep.TP = T, P \n",
+ "surf_cov_dep.coverages = initial_surface_coverages\n",
+ "surf_reactor = ct.ReactorSurface(surf_cov_dep, gas_reactor)\n",
+ "\n",
+ "net = ct.ReactorNet([gas_reactor])\n",
+ "\n",
+ "times_cov_dep = [net.time]\n",
+ "gas_concentrations_cov_dep = [gas_cov_dep.X]\n",
+ "surf_concentrations_cov_dep = [surf_cov_dep.coverages]\n",
+ "\n",
+ "termination_time = 1.0 # s\n",
+ "while net.time < termination_time:\n",
+ " net.step()\n",
+ " times_cov_dep.append(net.time)\n",
+ " gas_concentrations_cov_dep.append(gas_cov_dep.X)\n",
+ " surf_concentrations_cov_dep.append(surf_cov_dep.coverages)\n",
+ "\n",
+ "times_cov_dep = np.array(times_cov_dep)\n",
+ "gas_concentrations_cov_dep = np.array(gas_concentrations_cov_dep)\n",
+ "surf_concentrations_cov_dep = np.array(surf_concentrations_cov_dep)\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "a636e9df-fa0b-461e-ab18-5e63f6154917",
+ "metadata": {},
+ "source": [
+ "# Coverage-dependent thermo results in less CO on the surface"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "868aa235",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Plot the results\n",
+ "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n",
+ "\n",
+ "# Plot COX, X, OX, HX\n",
+ "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'X': 1}, surf_base)], label='X', color=colors[0])\n",
+ "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'O': 1, 'X': 1}, surf_base)], label='OX', color=colors[1])\n",
+ "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'H': 1, 'X': 1}, surf_base)], label='HX', color=colors[2])\n",
+ "plt.plot(times_base, surf_concentrations_base[:, get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_base)], label='COX', color=colors[3])\n",
+ "\n",
+ "# plot cov-dep\n",
+ "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'X': 1}, surf_cov_dep)], label='X-cov-dep', color=colors[0], linestyle='dashed')\n",
+ "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'O': 1, 'X': 1}, surf_cov_dep)], label='OX-cov-dep', color=colors[1], linestyle='dashed')\n",
+ "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'H': 1, 'X': 1}, surf_cov_dep)], label='HX-cov-dep', color=colors[2], linestyle='dashed')\n",
+ "plt.plot(times_cov_dep, surf_concentrations_cov_dep[:, get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_cov_dep)], label='COX-cov-dep', color=colors[3], linestyle='dashed')\n",
+ "\n",
+ "\n",
+ "plt.xlabel('Time (s)')\n",
+ "plt.ylabel('Surface Coverage')\n",
+ "plt.title('Surface Coverages vs Time')\n",
+ "plt.legend()\n",
+ "plt.xscale('log')\n",
+ "plt.savefig('cross_surface_coverages.png')\n",
+ "plt.show()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "6dfaabf1",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Compute the enthalpy of XCO versus coverage\n",
+ "i_XCO_base = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_base)\n",
+ "i_XCO_cov_dep = get_i_thing({'C': 1, 'O': 1, 'X': 1}, surf_cov_dep)\n",
+ "\n",
+ "\n",
+ "coverages = np.linspace(0, 1, 10)\n",
+ "enthalpies_base = []\n",
+ "enthalpies_cov_dep = []\n",
+ "\n",
+ "entropies_base = []\n",
+ "entropies_cov_dep = []\n",
+ "\n",
+ "T = 300.0 # K\n",
+ "P = ct.one_atm # Pa\n",
+ "for coverage in coverages:\n",
+ "\n",
+ " surf_base.TPX = T, P, f'X(1): {1.0 - coverage}, {surf_base.species_names[i_XCO_base]}: {coverage}'\n",
+ " surf_cov_dep.TPX = T, P, f'X(1): {1.0 - coverage}, {surf_cov_dep.species_names[i_XCO_cov_dep]}: {coverage}'\n",
+ "\n",
+ " enthalpies_base.append(surf_base.standard_enthalpies_RT[i_XCO_base])\n",
+ " enthalpies_cov_dep.append(surf_cov_dep.standard_enthalpies_RT[i_XCO_cov_dep])\n",
+ "\n",
+ " entropies_base.append(surf_base.standard_entropies_R[i_XCO_base])\n",
+ " entropies_cov_dep.append(surf_cov_dep.standard_entropies_R[i_XCO_cov_dep])\n",
+ "\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "18ad38fb-7683-4398-824a-08084187e89b",
+ "metadata": {},
+ "source": [
+ "# Enthalpy with coverage dependence corrections fits the DFT data pretty well"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "f28971e5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 6,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.plot(coverages, enthalpies_base, label='Baseline', color=colors[0])\n",
+ "plt.plot(coverages, enthalpies_cov_dep, label='Coverage Dependent', color=colors[1])\n",
+ "\n",
+ "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n",
+ "# provide discrete enthalpy and entropy values calculated with DFT\n",
+ "# array of CO* coverage\n",
+ "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n",
+ "# array of nondimensionalized DFT-derived CO* enthalpy values\n",
+ "dft_hrts = [-112.8 , -112.8 , -108.78, -105.76, -106.11, -102.51, -96.83,\n",
+ " -85.03, -78.76, -72.19]\n",
+ "\n",
+ "plt.scatter(dft_covs, dft_hrts, label='DFT', color=colors[2], marker='x')\n",
+ "\n",
+ "\n",
+ "plt.xlabel('Coverage of XCO')\n",
+ "plt.ylabel('Standard Enthalpy / RT')\n",
+ "plt.title('Standard Enthalpy of XCO vs Coverage')\n",
+ "plt.legend()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "be7dafe4-bab7-4eb1-8dc8-c6436d2bfdca",
+ "metadata": {},
+ "source": [
+ "# Entropy with coverage dependence corrections matches the shape of DFT, but has an offset\n",
+ "\n",
+ "## This is because we took the XCO coverage-dependence parameters from Bae et al., but use the more recent NASA polynomials by Kirk Badger\n",
+ "\n",
+ "https://pubs.acs.org/doi/full/10.1021/acs.jcim.4c02167 - Bae et al.\n",
+ "\n",
+ "See RMG-database/input/thermo/libraries/surfaceThermoCovDepPt111.py for more details"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "8ef85c64",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 7,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.plot(coverages, entropies_base, label='Baseline', color=colors[0])\n",
+ "plt.plot(coverages, entropies_cov_dep, label='Coverage Dependent', color=colors[1])\n",
+ "\n",
+ "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n",
+ "# provide discrete enthalpy and entropy values calculated with DFT\n",
+ "# array of CO* coverage\n",
+ "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n",
+ "\n",
+ "# array of nondimensionalized DFT-derived CO* entropy values\n",
+ "dft_srs = [2.46, 2.46, 3.79, 3.28, 3.14, 2.41, 2.19, 1.63, 1.6 , 1.12]\n",
+ "\n",
+ "plt.scatter(dft_covs, dft_srs, label='DFT', color=colors[2], marker='x')\n",
+ "\n",
+ "\n",
+ "plt.xlabel('Coverage of XCO')\n",
+ "plt.ylabel('Standard Entropy / R')\n",
+ "plt.title('Standard Entropy of XCO vs Coverage')\n",
+ "plt.legend()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "adff59e6-071b-4d3b-8ae7-88f6df1f2be9",
+ "metadata": {},
+ "source": [
+ "## When you subtract the difference in entropy from the Bae and Badger thermo at the low-coverage limit, the entropy matches the DFT"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "bceeb421-a936-49d6-a344-dea45ca78e3b",
+ "metadata": {},
+ "source": [
+ "### Get the entropy offset between Bae and Badger at the low-coverage limit"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "cc012baf-9d02-49df-a7b2-38feab57a693",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "phase_bae = ct.Interface('example_data/covdepsurf.yaml', 'covdep_poly')\n",
+ "phase_bae.TP = 300, ct.one_atm\n",
+ "i_XCO_bae = get_i_thing({'Pt': 1, 'C': 1, 'O': 1}, phase_bae)\n",
+ "phase_bae.standard_entropies_R[i_XCO_bae]\n",
+ "entropy_offset = phase_bae.standard_entropies_R[i_XCO_bae] - entropies_cov_dep[0]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "72aa3d9b-781b-4f1f-abd0-1cbc4a790318",
+ "metadata": {},
+ "source": [
+ "### After applying offset, the entropy matches the DFT"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "06312712",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "plt.plot(coverages, entropies_base, label='Baseline', color=colors[0])\n",
+ "plt.plot(coverages, entropies_cov_dep, label='Coverage Dependent', color=colors[1])\n",
+ "plt.plot(coverages, entropies_cov_dep + entropy_offset, label='Coverage Dependent + Entropy Offset', color=colors[1], linestyle='dashed')\n",
+ "\n",
+ "# these values copied from Cantera example: https://cantera.org/dev/examples/python/thermo/coverage_dependent_surf.html\n",
+ "# provide discrete enthalpy and entropy values calculated with DFT\n",
+ "# array of CO* coverage\n",
+ "dft_covs = [0., 0.11, 0.22, 0.33, 0.44, 0.56, 0.67, 0.78, 0.89, 1.0]\n",
+ "\n",
+ "# array of nondimensionalized DFT-derived CO* entropy values\n",
+ "dft_srs = [2.46, 2.46, 3.79, 3.28, 3.14, 2.41, 2.19, 1.63, 1.6 , 1.12]\n",
+ "\n",
+ "plt.scatter(dft_covs, dft_srs, label='DFT', color=colors[2], marker='x')\n",
+ "\n",
+ "\n",
+ "plt.xlabel('Coverage of XCO')\n",
+ "plt.ylabel('Standard Entropy / R')\n",
+ "plt.title('Standard Entropy of XCO vs Coverage')\n",
+ "plt.legend()"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.9.23"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/ipython/data/chem_annotated.inp b/ipython/data/chem_annotated.inp
deleted file mode 100644
index 6ca38f88240..00000000000
--- a/ipython/data/chem_annotated.inp
+++ /dev/null
@@ -1,63469 +0,0 @@
-ELEMENTS
- H
- D /2.014/
- T /3.016/
- C
- CI /13.003/
- O
- OI /17.999/
- N
- Ne
- Ar
- He
- Si
- S
- F
- Cl
- Br
- I
- X /195.083/
-END
-
-SPECIES
- Ar ! Ar
- He ! He
- Ne ! Ne
- N2 ! N2
- RC10L(1) ! RC10L(1)
- RC10(2) ! RC10(2)
- LC10(3) ! LC10(3)
- [CH2]C(C)L(4) ! [CH2]C(C)L(4)
- C[CH]CC(C)CR(5) ! C[CH]CC(C)CR(5)
- [CH2]C(C)CR(6) ! [CH2]C(C)CR(6)
- C[CH]CC(C)L(7) ! C[CH]CC(C)L(7)
- C[CH]L(8) ! C[CH]L(8)
- C7H14R(9) ! [CH2]C(C)CC(C)CR(9)
- C[CH]CR(10) ! C[CH]CR(10)
- C6H12L(11) ! [CH2]C(C)CC(C)L(11)
- C3H5R(12) ! C=CCR(12)
- CC(C)L(13) ! CC(C)L(13)
- [CH2]R(14) ! [CH2]R(14)
- C8H16L(15) ! C[CH]CC(C)CC(C)L(15)
- CCCC(C)L(16) ! CCCC(C)L(16)
- C6H11R(17) ! C=CCC(C)CR(17)
- C3H6(18) ! C=CC(18)
- C2H3L(19) ! C=CL(19)
- CC(C)CR(20) ! CC(C)CR(20)
- C8H15L(21) ! C=CCC(C)CC(C)L(21)
- CR(22) ! CR(22)
- CC(C)CC(C)CR(23) ! CC(C)CC(C)CR(23)
- C5H9L(24) ! C=CCC(C)L(24)
- CC(C)CC(C)L(25) ! CC(C)CC(C)L(25)
- CCL(26) ! CCL(26)
- CCCR(27) ! CCCR(27)
- C7H14LR(28) ! CC(L)CCC(C)CR(28)
- C10H20LR(29) ! CC(L)CCC(C)CC(C)CR(29)
- C9H18L2(30) ! CC(L)CCC(C)CC(C)L(30)
- CC(L)CCR(31) ! CC(L)CCR(31)
- CCCC(C)CR(32) ! CCCC(C)CR(32)
- C8H16L2(33) ! CC(L)CC(C)CC(C)L(33)
- CC(CR)CCR(34) ! CC(CR)CCR(34)
- CC(L)CC(C)L(35) ! CC(L)CC(C)L(35)
- C8H16R2(36) ! CC(CR)CC(C)CCR(36)
- CC(L)CC(C)CR(37) ! CC(L)CC(C)CR(37)
- C7H14LR(38) ! CC(L)CC(C)CCR(38)
- C9H18R2(39) ! CC(CR)CC(C)C(C)CR(39)
- C7H14R2(40) ! CC(CR)CC(C)CR(40)
- CC(L)CR(41) ! CC(L)CR(41)
- CC(CR)CR(42) ! CC(CR)CR(42)
- C8H16LR(43) ! CC(CR)CC(C)C(C)L(43)
- C8H16LR(44) ! CC(L)CC(C)C(C)CR(44)
- CC(L)CCC(C)L(45) ! CC(L)CCC(C)L(45)
- C7H14L2(46) ! CC(L)CC(C)C(C)L(46)
- CC(L)C(C)CR(47) ! CC(L)C(C)CR(47)
- C10H20R2(48) ! CC(CR)CC(C)CC(C)CR(48)
- C8H17L(49) ! CCCC(C)CC(C)L(49)
- C11H22L2(50) ! CC(L)CC(C)CC(C)CC(C)L(50)
- CC(L)C(C)L(51) ! CC(L)C(C)L(51)
- CC(CR)C(C)CR(52) ! CC(CR)C(C)CR(52)
- C10H20L2(53) ! CC(L)CC(C)CC(C)C(C)L(53)
- C11H22LR(54) ! CC(L)CC(C)CC(C)C(C)CR(54)
- RCCR(55) ! RCCR(55)
- C6H11R(56) ! CC=CC(C)CR(56)
- C5H9L(57) ! CC=CC(C)L(57)
- C3H5R(58) ! CC=CR(58)
- C3H5L(59) ! C=C(C)L(59)
- C4H7R(60) ! C=C(C)CR(60)
- C8H15L(61) ! CC=CC(C)CC(C)L(61)
- C7H13R(62) ! C=C(C)CC(C)CR(62)
- C6H11L(63) ! C=C(C)CC(C)L(63)
- C10H20R(64) ! CC(C)CC(C)CC(C)[CH]R(64)
- C9H17LR(65) ! C[C](CC(C)L)CC(C)CR(65)
- C9H17LR(66) ! CC(L)CC(C)[CH]C(C)CR(66)
- C9H17LR(67) ! CC(L)CC(C)CC(C)[CH]R(67)
- C9H17LR(68) ! CC(L)[CH]C(C)CC(C)CR(68)
- C9H17LR(69) ! C[C](CR)CC(C)CC(C)L(69)
- C9H17LR(70) ! [CH2]C(L)CC(C)CC(C)CR(70)
- C9H17LR(71) ! [CH2]C(CR)CC(C)CC(C)L(71)
- C9H17LR(72) ! C[C](L)CC(C)CC(C)CR(72)
- C9H17LR(73) ! [CH2]C(CC(C)L)CC(C)CR(73)
- CH3(74) ! CH3(74)
- C(75) ! C(75)
- C10H20L(76) ! CC(C)CC(C)CC(C)[CH]L(76)
- C5H8L(77) ! CC=C[C](C)L(77)
- C3H4R(78) ! C=C[CH]R(78)
- C4H6R(79) ! C=C(C)[CH]R(79)
- C[C]1CC1R(80) ! C[C]1CC1R(80)
- C4H7R(81) ! CC(C)=CR(81)
- H(82) ! H(82)
- [H][H](83) ! [H][H](83)
- C5H9L(84) ! CCC=C(C)L(84)
- C7H15(85) ! [CH2]C(C)CC(C)C(85)
- C3H5L(86) ! CC=CL(86)
- CC(C)CC(C)C(87) ! CC(C)CC(C)C(87)
- RC1[CH]C1(88) ! RC1[CH]C1(88)
- C5H8L(89) ! C=C[CH]C(C)L(89)
- C6H10R(90) ! CC=C[C](C)CR(90)
- C4H5L(91) ! C=CC=CL(91)
- C6H9L2(92) ! CC(L)C[CH]C=CL(92)
- C[CH]CC(93) ! C[CH]CC(93)
- C[CH]C(94) ! C[CH]C(94)
- CCC(95) ! CCC(95)
- C5H8L(96) ! CC[CH]C=CL(96)
- C7H11LR(97) ! CC(CR)C[CH]C=CL(97)
- C6H11R(98) ! CCC=C(C)CR(98)
- C6H9LR(99) ! C[C](L)CCC=CR(99)
- C7H9LR(100) ! LC=C[CH]CCC=CR(100)
- CC(L)C[CH]L(101) ! CC(L)C[CH]L(101)
- C3H5(102) ! [CH2]C=C(102)
- C6H10L(103) ! C=C(C)[CH]C(C)L(103)
- C5H7L(104) ! C=C(C)C=CL(104)
- C6H9R(105) ! C=CCCC=CR(105)
- C7H11L2(106) ! C[C](C=CL)CC(C)L(106)
- C6H11L(107) ! CC(C)=CC(C)L(107)
- C7H12R(108) ! C=C(C)[CH]C(C)CR(108)
- C7H12R(109) ! C[C]1CC1C(C)CR(109)
- C6H10(110) ! C=C(C)C=CC(110)
- C6H9R(111) ! C=CCC(R)C=C(111)
- C8H14L(112) ! CC=C[C](C)CC(C)L(112)
- C6H9(113) ! [CH2]C=CC(=C)C(113)
- C6H9(114) ! C[C]1C=CCC1(114)
- C12H18(115) ! CC1=CC(C2(C)C=CCC2)CC1(115)
- C6H10(116) ! CC1=CCCC1(116)
- C12H18(117) ! CC1=CC(C2C=C(C)CC2)CC1(117)
- C6H8(118) ! CC1=CC=CC1(118)
- C10H14L(119) ! C=CC=C(C)CC[CH]C=CL(119)
- C7H13R(120) ! CC(C)=CC(C)CR(120)
- C10H14L(121) ! C=C(C)C=CCC[CH]C=CL(121)
- C9H14L(122) ! C=CC=C(C)CC[C](C)L(122)
- C6H7(123) ! CC1=CC=C[CH]1(123)
- C5H9LR(124) ! CC(CR)C[CH]L(124)
- C6H8(125) ! CC1=CCC=C1(125)
- C7H11(126) ! C[C]1C=CCC1C(126)
- C7H11(127) ! [CH2]C=CC(C)=CC(127)
- C8H13LR(128) ! C[C](C=CL)CC(C)CR(128)
- C8H11LR(129) ! C[C](C=CL)CCC=CR(129)
- C7H10L(130) ! C=CCC[CH]C=CL(130)
- C6H10L(131) ! CC[C](C)C=CL(131)
- C9H14L(132) ! C=C(C)C=CCC[C](C)L(132)
- C6H8R2(133) ! C=CC(R)CC=CR(133)
- C8H11LR(134) ! CC(=CR)CC[CH]C=CL(134)
- C11H16L(135) ! C=CC=C(C)CC[C](C)C=CL(135)
- C11H16L(136) ! C=C(C)C=CCC[C](C)C=CL(136)
- C10H16R(137) ! C=CC=C(C)CC[C](C)CR(137)
- C5H9LR(138) ! CC(L)C[CH]CR(138)
- C6H10L(139) ! C=CCC[C](C)L(139)
- C10H16R(140) ! C=C(C)C=CCC[C](C)CR(140)
- C8H12L(141) ! C=CCC[C](C)C=CL(141)
- C9H13LR(142) ! C[C](C=CL)CCC(C)=CR(142)
- C7H11LR(143) ! C[C](L)CCC(C)=CR(143)
- C6H9LR(144) ! CC1(L)CCC1[CH]R(144)
- C6H9L2(145) ! C=C[CH]C(L)C(C)L(145)
- C7H11R2(146) ! C[C](CR)CCC=CR(146)
- C3H4L(147) ! [CH2]C(=C)L(147)
- C7H9LR(148) ! LC=CC1CC[CH]C1R(148)
- L[C]1CC1(149) ! L[C]1CC1(149)
- C7H9LR(150) ! LC1[CH]C2CCC1C2R(150)
- C7H9LR(151) ! R[CH]C1CCC=CC1L(151)
- C7H9L2(152) ! C=C(L)CC[CH]C=CL(152)
- C7H12R(153) ! C=CCC[C](C)CR(153)
- C7H9LR(154) ! LC1C2[CH]CCC1C2R(154)
- CC[C](C)L(155) ! CC[C](C)L(155)
- C4H7(156) ! [CH2]C(=C)C(156)
- C4H8(157) ! C=C(C)C(157)
- C[C]1CC1(158) ! C[C]1CC1(158)
- C9H15(159) ! C[CH]CC1C=C(C)CC1(159)
- C6H9(160) ! CC1=CCC[CH]1(160)
- C6H9(161) ! [CH2]C=C(C)C=C(161)
- C8H11L2(162) ! C=C(L)CC[C](C)C=CL(162)
- C6H10(163) ! C=CCCC=C(163)
- C8H12L(164) ! C=C(C)CC[CH]C=CL(164)
- C6H8R2(165) ! RC=CCCC=CR(165)
- C9H14L(166) ! C=CC(C)=CCC[C](C)L(166)
- C10H14L(167) ! C=CC(C)=CCC[CH]C=CL(167)
- C11H16L(168) ! C=CC(C)=CCC[C](C)C=CL(168)
- C6H10L(169) ! C[C](L)C=C(C)C(169)
- C6H9L2(170) ! C=C(L)CC[C](C)L(170)
- C6H10R(171) ! C=C[CH]C(C)CR(171)
- C7H11LR(172) ! CC1(L)CCC1(C)[CH]R(172)
- C5H8(173) ! C=CC=CC(173)
- C5H7(174) ! [CH2]C=CC=C(174)
- C9H12L(175) ! C=CC=CCC[CH]C=CL(175)
- C8H12L(176) ! C=CC=CCC[C](C)L(176)
- C9H14R(177) ! C=CC=CCC[C](C)CR(177)
- C5H7(178) ! [CH]1C=CCC1(178)
- C10H14(179) ! C=CC=CCC1C=CCC1(179)
- C5H8(180) ! C1=CCCC1(180)
- C11H17(181) ! C=CC=CCC[C](C)C=CC(181)
- C10H14L(182) ! C=CC=CCC[C](C)C=CL(182)
- C10H15(183) ! C=CC=CCC[CH]C=CC(183)
- C10H14(184) ! C=CC=CCCC=CC=C(184)
- C9H12L(185) ! C=C[CH]C(L)CC=CC=C(185)
- C10H14(186) ! C1=CC(C2C=CCC2)CC1(186)
- C5H6(187) ! C1=CCC=C1(187)
- C11H18L(188) ! C=CC=CCC[C](C)CC(C)L(188)
- C5H5(189) ! [CH]1C=CC=C1(189)
- C9H14L(190) ! C=C(C)CC[C](C)C=CL(190)
- C8H13(191) ! C=CC=CCC[CH]C(191)
- C12H20R(192) ! C=CC=CCC[C](C)CC(C)CR(192)
- C7H12L(193) ! CC=C[CH]CC(C)L(193)
- C8H12(194) ! C=CC=CCCC=C(194)
- [CH2]CC(195) ! [CH2]CC(195)
- C2H4(196) ! C=C(196)
- C8H13(197) ! C=C[CH]C1CCC1C(197)
- C8H13(198) ! [CH2]CC(C=C)C(=C)C(198)
- C7H12R(199) ! C[C](C=C(C)C)CR(199)
- C10H14(200) ! C=CC=CCC(C=C)C=C(200)
- C10H12(201) ! C=CC=CCC1C=CC=C1(201)
- C10H13(202) ! C=CC=CCC1C=C[CH]C1(202)
- C5H9L2(203) ! C[C](L)CC(C)L(203)
- C11H16(204) ! C=CC=CCC1C=C(C)CC1(204)
- C10H14L(205) ! C=CC=CCC(L)[CH]C(=C)C(205)
- C7H11LR(206) ! C=C[CH]C(L)C(C)CR(206)
- C8H9R(207) ! RC=CCC1C=CC=C1(207)
- C8H11LR(208) ! C[C]1CCC(C=CL)C1R(208)
- C8H11LR(209) ! CC12CCC([CH]C1L)C2R(209)
- C10H13(210) ! C=CC(C=C)C1[CH]C=CC1(210)
- C11H16(211) ! C=CC=CCC1(C)C=CCC1(211)
- C7H9LR(212) ! L[CH]C1CCC=CC1R(212)
- C8H11R(213) ! C=CC=CCCC=CR(213)
- C8H14R(214) ! CC=C[CH]CC(C)CR(214)
- C7H9LR(215) ! RC1[CH]C2CCC1C2L(215)
- C8H13R2(216) ! C[C](CR)CCC(C)=CR(216)
- C7H9LR(217) ! RC=CC1CC[CH]C1L(217)
- C7H9LR(218) ! R[CH]C=CCCC=CL(218)
- C3H4L(219) ! [CH2]C=CL(219)
- C4H5R(220) ! C=CC=CR(220)
- C7H9(221) ! [CH2]CC1C=CC=C1(221)
- C9H12R(222) ! C=CC=CCC[CH]C=CR(222)
- C9H15(223) ! C=CC=CCC[C](C)C(223)
- C4H6R(224) ! [CH2]C(=C)CR(224)
- RC[C]1CC1(225) ! RC[C]1CC1(225)
- C11H15(226) ! C=CC(C=C)C1[CH]C=C(C)C1(226)
- C9H14R(227) ! C=CC=CCC(R)[C](C)C(227)
- C9H13LR(228) ! C=C(CR)CC[C](C)C=CL(228)
- C11H16(229) ! C=CC=CCC1CCC=C1C(229)
- C7H10L(230) ! C=CC=CCC[CH]L(230)
- C9H15(231) ! C[CH]CC1CCC=C1C(231)
- C10H16R(232) ! C=CC(C)=CCC[C](C)CR(232)
- C11H15(233) ! C=CC(C=C)C1[CH]C(C)=CC1(233)
- C11H15(234) ! C=CC=CCC1CC=C[C]1C(234)
- C10H15(235) ! C=C[CH]C(C)CC=CC=C(235)
- C8H11LR(236) ! C=C(CR)CC[CH]C=CL(236)
- C7H12L(237) ! C=C(C)CC[C](C)L(237)
- C11H17(238) ! C=CC=C(C)CC[CH]C=CC(238)
- C6H7(239) ! [CH2]C1=CC=CC1(239)
- C10H13R(240) ! C=C1C=CC(CC(=C)CR)C1(240)
- C9H12L(241) ! C[C](L)CCC1=CC=CC1(241)
- C8H11(242) ! [CH2]CC1C=CCC1=C(242)
- C10H12L(243) ! LC=C[CH]CCC1=CC=CC1(243)
- C12H14(244) ! C=C1C=CC(C2C=CCC2=C)C1(244)
- C9H12L(245) ! CC1(L)CCC2=C[CH]C1C2(245)
- C11H14(246) ! C=CC=CCC1C=CC(=C)C1(246)
- C10H14R(247) ! C[C](CR)CCC1=CC=CC1(247)
- C11H14L(248) ! C[C](C=CL)CCC1=CC=CC1(248)
- C10H12L(249) ! LC=CC1CCC2=C[CH]C1C2(249)
- C10H14R(250) ! CC1(CR)CCC2=C[CH]C1C2(250)
- C11H14(251) ! C=CC=CCC1C=CCC1=C(251)
- C6H6(252) ! C=C1C=CC=C1(252)
- C9H15L2(253) ! C[C](L)CCC(C)=CC(C)L(253)
- C12H14(254) ! C=C1C=CC(C2C=CC(=C)C2)C1(254)
- C12H14(255) ! C=C1CC=CC1C1C=CCC1=C(255)
- C11H15(256) ! CC=C[CH]CCC1=CC=CC1(256)
- C12H14(257) ! C=C1C=CC(CC2=CC=CC2)C1(257)
- C11H14L(258) ! CC1(C=CL)CCC2=C[CH]C1C2(258)
- C12H18L(259) ! C[C](CCC1=CC=CC1)CC(C)L(259)
- C9H13(260) ! C=C1C=CC(C[CH]C)C1(260)
- C12H14(261) ! C=C1CC=CC1CC1=CC=CC1(261)
- C5H7L(262) ! C=CC=C(C)L(262)
- C9H11R(263) ! C=C1C=CC(CC=CR)C1(263)
- C9H11R(264) ! C=C1CC=CC1CC=CR(264)
- C11H15(265) ! CC=CC1CCC2=C[CH]C1C2(265)
- C12H17(266) ! CC=C[C](C)CCC1=CC=CC1(266)
- C12H16(267) ! C=C1C=CC(C2C=C(C)CC2)C1(267)
- C9H11R(268) ! C=CC(R)C1C=CC(=C)C1(268)
- C12H16(269) ! C=C1CC=CC1C1C=C(C)CC1(269)
- C9H11R(270) ! C=CC(R)C1C=CCC1=C(270)
- C11H14(271) ! C=CC=CCCC1=CC=CC1(271)
- C9H12(272) ! C=CCC1C=CC(=C)C1(272)
- C12H16(273) ! C=C1C=CC(C2(C)C=CCC2)C1(273)
- C11H14(274) ! C=C1C=CC(C2C=CCC2)C1(274)
- C9H12(275) ! C=CCC1C=CCC1=C(275)
- C11H14(276) ! C=C1CC=CC1C1C=CCC1(276)
- C12H14(277) ! C1=CCC(CCC2=CC=CC2)=C1(277)
- C11H14(278) ! C=CC(C=C)C1C=CC(=C)C1(278)
- C11H14(279) ! C=CC(C=C)C1C=CCC1=C(279)
- C12H16(280) ! C=C1CC=CC1C1(C)C=CCC1(280)
- C13H20R(281) ! C[C](CCC1=CC=CC1)CC(C)CR(281)
- C10H12L(282) ! C=C1C=CC(C[CH]C=CL)C1(282)
- C12H15(283) ! C=C1CC=CC1C1[CH]C=C(C)C1(283)
- C11H12(284) ! C=C1C=CC(C2C=CC=C2)C1(284)
- C6H9R(285) ! CC=CC(C)=CR(285)
- C7H12R(286) ! CC=C[C](C)C(C)R(286)
- C6H8R(287) ! [CH2]C=CC(C)=CR(287)
- C6H8R(288) ! C[C]1C=CCC1R(288)
- C10H13LR(289) ! CC(C=CCC[CH]C=CL)=CR(289)
- C6H8(290) ! C=C1C=CCC1(290)
- C8H12R(291) ! [CH2]CC(C=C)C(C)=CR(291)
- C10H12L(292) ! C=C[CH]C(L)CC1=CC=CC1(292)
- C9H12L(293) ! C=C1C=CC(C[C](C)L)C1(293)
- C12H18L(294) ! CC(L)CC1(C)CCC2=C[CH]C1C2(294)
- C11H15LR(295) ! C[C](C=CL)CCC=CC(C)=CR(295)
- C12H15R(296) ! C=CC=C(C)C(R)C1C=CC(=C)C1(296)
- C11H14L(297) ! C=C1C=CC(C[C](C)C=CL)C1(297)
- C11H13(298) ! C=C1CC=CC1C1[CH]C=CC1(298)
- C9H13LR(299) ! C[C](L)CCC=CC(C)=CR(299)
- C12H15R(300) ! C=CC(C(C)=CR)C1C=CC(=C)C1(300)
- C12H15R(301) ! C=C1C=CC(CC=CC(C)=CR)C1(301)
- C12H15R(302) ! C=CC=C(C)C(R)C1C=CCC1=C(302)
- C12H15R(303) ! C=CC(C(C)=CR)C1C=CCC1=C(303)
- C12H15R(304) ! C=C1CC=CC1CC=CC(C)=CR(304)
- C12H16R2(305) ! C=CC=C(C)C(R)C(C=C)C(C)=CR(305)
- C12H15R(306) ! C=C1C=CC(C2C=C(C)C(R)C2)C1(306)
- C10H12L(307) ! C=CC1C(L)CC2=C[CH]C1C2(307)
- C12H16(308) ! C=C1C=CC(C2CCC=C2C)C1(308)
- C12H16(309) ! C=C1CC=CC1C1CCC=C1C(309)
- C13H20R(310) ! CC(CR)CC1(C)CCC2=C[CH]C1C2(310)
- C9H13(311) ! C[CH]CCC1=CC=CC1(311)
- C9H13(312) ! CC1CCC2=C[CH]C1C2(312)
- C9H13(313) ! CC1CCC2=CC1[CH]C2(313)
- C9H12L(314) ! CC1(L)CCC2=CC1[CH]C2(314)
- C12H16R2(315) ! C=CC=C(C)C(R)CC=CC(C)=CR(315)
- C10H14R(316) ! C=C1C=CC(C[C](C)CR)C1(316)
- C12H15R(317) ! C=C1C=CC(C2(C)C=CCC2R)C1(317)
- C10H15R2(318) ! C[C](CR)CCC=CC(C)=CR(318)
- C12H16R2(319) ! C=CC(CC=CC(C)=CR)C(C)=CR(319)
- C12H15R(320) ! C=C1CC=CC1C1C=C(C)C(R)C1(320)
- C12H15R(321) ! C=C1CC=CC1C1(C)C=CCC1R(321)
- C12H15R(322) ! C=CC=C(C)C(R)CC1=CC=CC1(322)
- C12H15(323) ! C=C1CC=CC1C1[CH]C(C)=CC1(323)
- C10H12R(324) ! RC=C[CH]CCC1=CC=CC1(324)
- C6H11L(325) ! CC(L)=CC(C)C(325)
- C11H14L(326) ! C=C(C)[CH]C(L)CC1=CC=CC1(326)
- C11H14L(327) ! C=C(C)C1C(L)CC2=C[CH]C1C2(327)
- C8H10L(328) ! C=C1C=CC(C[CH]L)C1(328)
- C11H12(329) ! C=C1CC=CC1C1C=CC=C1(329)
- C7H13R(330) ! CC(=CC(C)C)CR(330)
- C11H14(331) ! C=CC(C=C)CC1=CC=CC1(331)
- C9H14L(332) ! C[C](L)CC1CCC=C1C(332)
- C10H12R(333) ! RC=CC1CCC2=C[CH]C1C2(333)
- C12H15R(334) ! C=CC(CC1=CC=CC1)C(C)=CR(334)
- C12H16(335) ! C=CC=C(C)CC1C=CC(=C)C1(335)
- C12H15R(336) ! CC(C=CCCC1=CC=CC1)=CR(336)
- C12H15(337) ! C[C]1C=CCC1CC1=CC=CC1(337)
- C9H13R(338) ! C=CC=C(C)C(R)CC=C(338)
- [CH2]C(C)C(399) ! [CH2]C(C)C(399)
- C5H8LR(1393) ! CC(L)CC=CR(1393)
- C6H9R(1802) ! C=CC=C(C)CR(1802)
- C4H6L(1895) ! C=C[CH]CL(1895)
- C10H17LR(3394) ! C[C](L)CCC(C)=CC(C)CR(3394)
- C13H22R(4080) ! C=C(C)C=CCC[C](C)CC(C)CR(4080)
- C13H22R(4084) ! C=CC=C(C)CC[C](C)CC(C)CR(4084)
- C12H20L(4086) ! C=C(C)C=CCC[C](C)CC(C)L(4086)
- C12H20L(4090) ! C=CC=C(C)CC[C](C)CC(C)L(4090)
- C11H17(10750) ! C=C(C)C=CCC[CH]C=CC(10750)
- C11H16(11277) ! C=CC=CCCC=CC(=C)C(11277)
- C11H16(11279) ! C=CC=CCC(C=C)C(=C)C(11279)
- C11H16(11281) ! C=CC=CCCC(C)=CC=C(11281)
- C6H8(18175) ! C=C1CC=CC1(18175)
- C9H12R(18180) ! RC[CH]CCC1=CC=CC1(18180)
- C9H12R(18184) ! C=C1C=CC(C[CH]CR)C1(18184)
- C9H13(18191) ! [CH2]C(C)CC1=CC=CC1(18191)
- C9H13(18194) ! [CH2]C(C)C1C=CC(=C)C1(18194)
- C8H10L(18195) ! L[CH]CCC1=CC=CC1(18195)
- C9H12R(18224) ! CC([CH]R)CC1=CC=CC1(18224)
- C9H12R(18225) ! C[CH]C(R)CC1=CC=CC1(18225)
- C13H20R(18248) ! C=C1C=CC(C[C](C)CC(C)CR)C1(18248)
- C12H18L(18253) ! C=C1C=CC(C[C](C)CC(C)L)C1(18253)
- C9H11R(18275) ! C=CC(R)CC1=CC=CC1(18275)
- C9H11R(18276) ! RC=CCCC1=CC=CC1(18276)
- C10H13R(18278) ! C=C(C)C(R)CC1=CC=CC1(18278)
- C10H13R(18279) ! C=C(C)C(R)C1C=CCC1=C(18279)
- C10H13R(18280) ! C=C1C=CC(C(R)C(=C)C)C1(18280)
- C10H13R(18281) ! CC(=CR)CCC1=CC=CC1(18281)
- C10H13R(18282) ! C=C1CC=CC1CC(C)=CR(18282)
- C10H13R(18283) ! C=C1C=CC(CC(C)=CR)C1(18283)
- C10H14R(18285) ! C[C](C)C(R)CC1=CC=CC1(18285)
- C9H12(18323) ! C=CCCC1=CC=CC1(18323)
- C12H16(18374) ! C=C(C)C=CCCC1=CC=CC1(18374)
- C12H16(18375) ! C=C(C)C=CCC1C=CCC1=C(18375)
- C12H16(18376) ! C=C(C)C=CCC1C=CC(=C)C1(18376)
- C12H16(18377) ! C=CC(CC1=CC=CC1)C(=C)C(18377)
- C12H16(18378) ! C=CC(C(=C)C)C1C=CCC1=C(18378)
- C12H16(18379) ! C=CC(C(=C)C)C1C=CC(=C)C1(18379)
- C12H16(18380) ! C=CC=C(C)CCC1=CC=CC1(18380)
- C12H16(18381) ! C=CC=C(C)CC1C=CCC1=C(18381)
- C12H15(18389) ! CC1=C[CH]C(CC2=CC=CC2)C1(18389)
- C12H15(18406) ! CC1=CCC(CC2=CC=CC2)[CH]1(18406)
- C9H11L(18430) ! C=C(L)CC1C=CCC1=C(18430)
- C9H11L(18431) ! C=C(L)CC1C=CC(=C)C1(18431)
- C10H14(18433) ! C=C(C)CCC1=CC=CC1(18433)
- C10H14(18434) ! C=C(C)CC1C=CCC1=C(18434)
- C10H14(18435) ! C=C(C)CC1C=CC(=C)C1(18435)
- C10H15(18437) ! C[C](C)CCC1=CC=CC1(18437)
- C11H15(18454) ! C=C[CH]C(C)CC1=CC=CC1(18454)
- C11H15(18464) ! C=C1C=CC(C[CH]C=CC)C1(18464)
- C11H13(18468) ! [CH]1C=CCC1CC1=CC=CC1(18468)
- C10H13R(18540) ! C=C(CR)CC1C=CCC1=C(18540)
- C12H16(18679) ! CC1(CC2=CC=CC2)C=CCC1(18679)
- C12H16(18680) ! CC1=CC(CC2=CC=CC2)CC1(18680)
- C12H16(18717) ! CC1=CCCC1CC1=CC=CC1(18717)
- C12H16(18724) ! C=CC(C)=CCCC1=CC=CC1(18724)
- C12H16(18725) ! C=CC(C)=CCC1C=CCC1=C(18725)
- C12H16(18726) ! C=CC(C)=CCC1C=CC(=C)C1(18726)
- C11H14(18772) ! C1=CCC(CC2C=CCC2)=C1(18772)
- C9H13(20452) ! CC1C[C]2C=CC(C2)C1(20452)
- C10H14L(20637) ! C=CC=CCC[CH]C=C(C)L(20637)
- C11H14L(20661) ! CC(L)=C[CH]CCC1=CC=CC1(20661)
- C12H15(22038) ! [CH]1C=C(CCC2=CC=CC2)CC1(22038)
- C10H13L(22766) ! C=C1C=CC(CC=CCL)C1(22766)
- C6H7R(24238) ! CC1=CC=CC1R(24238)
- C9H12R2(24302) ! C=CC=C(C)C(R)CC=CR(24302)
- C9H13R(24328) ! C=CCC(C=C)C(C)=CR(24328)
- C12H15R(24501) ! CC1(CC2=CC=CC2)C=CCC1R(24501)
- C12H15R(24502) ! CC1=CC(CC2=CC=CC2)CC1R(24502)
- C9H13(26444) ! CC1CCC12[CH]C=CC2(26444)
- CC(C)C(29484) ! CC(C)C(29484)
- C8H10L(30673) ! LC1CCC2=CC1[CH]C2(30673)
- C8H10L(30674) ! LC1CCC2=C[CH]C1C2(30674)
- C10H15(32869) ! CC1(C)CC[C]2CC=CC21(32869)
- C10H15(32871) ! CC1(C)CC[C]2C=CC1C2(32871)
- C10H14R(33566) ! CC1(C)C(R)CC2=C[CH]C1C2(33566)
- C9H12R(34500) ! CC1C(R)CC2=C[CH]C1C2(34500)
- C11H15(35243) ! C=CC1C(C)C[C]2CC=CC21(35243)
- C11H15(35245) ! C=CC1C(C)C[C]2C=CC1C2(35245)
- C4H7L(36302) ! CC=CCL(36302)
- C7H11L2(36342) ! C[C](L)CCC=CCL(36342)
- C9H12R(38722) ! CC1CC2=CC([CH]C2)C1R(38722)
- C9H12R(38723) ! CC1CC2=C[CH]C(C2)C1R(38723)
- C9H13(38809) ! CC1CC2=CC([CH]C2)C1(38809)
- C9H12R(39454) ! RCC1CCC2=C[CH]C1C2(39454)
-END
-
-
-
-THERM ALL
- 300.000 1000.000 5000.000
-
-! Thermo library: primaryThermoLibrary
-Ar Ar 1 G 200.000 6000.000 1000.00 1
- 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
--7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
- 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4
-
-! Thermo library: primaryThermoLibrary
-He He 1 G 200.000 6000.000 1000.00 1
- 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
--7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
- 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4
-
-! Thermo library: primaryThermoLibrary
-Ne Ne 1 G 200.000 6000.000 1000.00 1
- 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
--7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
- 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4
-
-! Thermo library: primaryThermoLibrary
-N2 N 2 G 200.000 6000.000 1000.00 1
- 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2
--9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3
- 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-RC10L(1) C 9H 18 G 100.000 5000.000 1475.27 1
- 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2
--8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3
- 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-RC10(2) C 10H 21 G 100.000 5000.000 1541.52 1
- 5.25819112E+01 1.41559443E-01-5.75049538E-05 1.03543536E-08-6.97199284E-13 2
--6.81216129E+04-2.27869605E+02-1.12586940E+01 3.07216242E-01-2.18700413E-04 3
- 8.00673617E-08-1.20031246E-11-4.84393644E+04 1.07752431E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-LC10(3) C 10H 21 G 100.000 5000.000 1541.52 1
- 5.25819112E+01 1.41559443E-01-5.75049538E-05 1.03543536E-08-6.97199284E-13 2
--6.81216129E+04-2.27869605E+02-1.12586940E+01 3.07216242E-01-2.18700413E-04 3
- 8.00673617E-08-1.20031246E-11-4.84393644E+04 1.07752431E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
-[CH2]C(C)L(4) C 3H 6 G 100.000 5000.000 1541.83 1
- 3.85263906E+01 9.20737671E-02-3.61812354E-05 6.40440974E-09-4.27053219E-13 2
--1.72857131E+04-1.58964846E+02-6.64458714E+00 2.09262111E-01-1.50190622E-04 3
- 5.57007052E-08-8.42022648E-12-3.35656505E+03 7.85165414E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! radical(RCCJC)
-C[CH]CC(C)CR(5) C 6H 12 G 100.000 5000.000 1504.78 1
- 3.73110068E+01 1.24090988E-01-5.16915954E-05 9.42939166E-09-6.40147780E-13 2
--2.63151970E+04-1.45476457E+02-7.63102707E+00 2.43555525E-01-1.70776457E-04 3
- 6.21877884E-08-9.40526826E-12-1.27896006E+04 8.97083637E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
-[CH2]C(C)CR(6) C 4H 8 G 100.000 5000.000 1519.91 1
- 3.92972533E+01 1.00629423E-01-4.00342189E-05 7.13854495E-09-4.78395364E-13 2
--2.03296949E+04-1.61024373E+02-7.18965368E+00 2.22972227E-01-1.60775972E-04 3
- 6.00992802E-08-9.18967192E-12-6.19869614E+03 8.27092716E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC)
-C[CH]CC(C)L(7) C 5H 10 G 100.000 5000.000 1528.48 1
- 3.66313351E+01 1.15380919E-01-4.77499172E-05 8.67437936E-09-5.87079363E-13 2
--2.33094290E+04-1.43930256E+02-7.07660540E+00 2.29762870E-01-1.59999807E-04 3
- 5.76332992E-08-8.59480160E-12-9.94799178E+03 8.54797337E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC)
-C[CH]L(8) C 2H 4 G 100.000 5000.000 1579.29 1
- 3.21217372E+01 9.35182810E-02-3.84391464E-05 6.94331813E-09-4.67564767E-13 2
--1.29304278E+04-1.24747764E+02-5.16083715E+00 1.87946445E-01-1.28125933E-04 3
- 4.48026431E-08-6.46062354E-12-1.15436187E+03 7.21565346E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
-C7H14R(9) C 7H 14 G 100.000 5000.000 1490.61 1
- 4.40902741E+01 1.22074368E-01-4.91283992E-05 8.82238256E-09-5.94227390E-13 2
--3.08522359E+04-1.81847704E+02-9.10947611E+00 2.64833564E-01-1.92786413E-04 3
- 7.30723786E-08-1.13699802E-11-1.49921665E+04 9.60470823E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! radical(RCCJC)
-C[CH]CR(10) C 3H 6 G 100.000 5000.000 1547.65 1
- 3.27303213E+01 1.02317717E-01-4.24205492E-05 7.70581332E-09-5.21141571E-13 2
--1.58940403E+04-1.25871154E+02-5.70657103E+00 2.01658272E-01-1.38700569E-04 3
- 4.91786017E-08-7.22032038E-12-3.99642459E+03 7.63522612E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
-C6H12L(11) C 6H 12 G 100.000 5000.000 1508.31 1
- 4.32997881E+01 1.13536214E-01-4.52795603E-05 8.08827009E-09-5.42830726E-13 2
--2.77937857E+04-1.79666252E+02-8.55761480E+00 2.51060899E-01-1.82046718E-04 3
- 6.85388497E-08-1.05624307E-11-1.21503963E+04 9.18285434E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH)
-C3H5R(12) C 3H 5 G 100.000 5000.000 1625.44 1
- 4.13862881E+01 8.61337216E-02-3.42268835E-05 6.07203419E-09-4.04046532E-13 2
--2.75511326E+04-1.77368601E+02-6.54350417E+00 2.04082902E-01-1.43073661E-04 3
- 5.07150689E-08-7.27035182E-12-1.19697443E+04 7.71481686E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH)
-CC(C)L(13) C 3H 7 G 100.000 5000.000 1644.57 1
- 4.27916236E+01 8.93842125E-02-3.51299322E-05 6.18767706E-09-4.09634053E-13 2
--4.43623526E+04-1.87521249E+02-6.93229131E+00 2.10323244E-01-1.45435879E-04 3
- 5.09022255E-08-7.20683389E-12-2.80072178E+04 7.71052377E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ)
-[CH2]R(14) C 1H 2 G 100.000 5000.000 1624.69 1
- 3.64343719E+01 7.74270253E-02-3.08291301E-05 5.47403071E-09-3.64440441E-13 2
--1.05305705E+04-1.52031513E+02-5.26002960E+00 1.80079364E-01-1.25603569E-04 3
- 4.43634158E-08-6.34858670E-12 3.01747437E+03 6.93547196E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! radical(RCCJC)
-C8H16L(15) C 8H 16 G 100.000 5000.000 1494.00 1
- 4.12792897E+01 1.37057211E-01-5.69716248E-05 1.03873720E-08-7.05271163E-13 2
--3.37654893E+04-1.63926566E+02-9.00332731E+00 2.71682854E-01-1.92138096E-04 3
- 7.07026926E-08-1.07982084E-11-1.87410614E+04 9.88442474E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CCCC(C)L(16) C 5H 11 G 100.000 5000.000 1594.11 1
- 4.40713161E+01 1.06818786E-01-4.29770201E-05 7.68206216E-09-5.14061186E-13 2
--4.98892225E+04-1.89383727E+02-7.99085891E+00 2.37454646E-01-1.65900196E-04 3
- 5.90891050E-08-8.57606016E-12-3.32905943E+04 8.60637692E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H11R(17) C 6H 11 G 100.000 5000.000 1578.29 1
- 4.59276097E+01 1.07895147E-01-4.34620486E-05 7.78252817E-09-5.21698626E-13 2
--3.83266623E+04-1.96694728E+02-8.43351518E+00 2.45669206E-01-1.74403678E-04 3
- 6.30927637E-08-9.28291777E-12-2.11673688E+04 9.03728099E+01 4
-
-! Thermo library: DFT_QCI_thermo
-C3H6(18) C 3H 6 G 100.000 5000.000 983.75 1
- 5.36754852E+00 1.70743074E-02-6.35107943E-06 1.16619604E-09-8.27620902E-14 2
--4.87136983E+02-4.54465723E+00 3.31912186E+00 8.17957661E-03 3.34736487E-05 3
--4.36194166E-08 1.58213573E-11 7.49325292E+02 9.54024758E+00 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C2H3L(19) C 2H 3 G 100.000 5000.000 1653.46 1
- 4.07472692E+01 7.74275193E-02-3.03142241E-05 5.32811083E-09-3.52144137E-13 2
--2.45919396E+04-1.76104698E+02-6.01948220E+00 1.90563667E-01-1.32949543E-04 3
- 4.67099481E-08-6.60896857E-12-9.12647370E+03 7.30356709E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CC(C)CR(20) C 4H 9 G 100.000 5000.000 1618.41 1
- 4.34228450E+01 9.81075269E-02-3.90538119E-05 6.93445619E-09-4.61784836E-13 2
--4.73199304E+04-1.88744173E+02-7.45870284E+00 2.23863364E-01-1.55607832E-04 3
- 5.49457984E-08-7.87816021E-12-3.08503528E+04 8.12269298E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H15L(21) C 8H 15 G 100.000 5000.000 1561.45 1
- 4.98474090E+01 1.20915066E-01-4.87623012E-05 8.74356210E-09-5.86973757E-13 2
--4.57452936E+04-2.14851163E+02-9.79588657E+00 2.73705132E-01-1.95539931E-04 3
- 7.14110239E-08-1.06205466E-11-2.71193564E+04 9.94709841E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CR(22) C 1H 3 G 100.000 5000.000 1679.72 1
- 3.90478443E+01 7.61426480E-02-2.97303858E-05 5.20770642E-09-3.43051755E-13 2
--3.66461511E+04-1.69718848E+02-5.58579996E+00 1.82431290E-01-1.24647088E-04 3
- 4.28794655E-08-5.94992102E-12-2.16517950E+04 6.87607578E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CC(C)CC(C)CR(23) C 7H 15 G 100.000 5000.000 1574.47 1
- 4.79531879E+01 1.19892290E-01-4.83040988E-05 8.64877813E-09-5.79768956E-13 2
--5.76902548E+04-2.08012014E+02-9.35195126E+00 2.65478226E-01-1.87004124E-04 3
- 6.73775800E-08-9.90494434E-12-3.96452207E+04 9.44639985E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C5H9L(24) C 5H 9 G 100.000 5000.000 1600.35 1
- 4.52409493E+01 9.92347396E-02-3.95629486E-05 7.03978495E-09-4.69776807E-13 2
--3.53331899E+04-1.95136900E+02-7.89885641E+00 2.32054825E-01-1.64054195E-04 3
- 5.88996470E-08-8.57108525E-12-1.83246844E+04 8.62196191E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CC(C)CC(C)L(25) C 6H 13 G 100.000 5000.000 1595.34 1
- 4.72741267E+01 1.11217363E-01-4.43960626E-05 7.90383831E-09-5.27660133E-13 2
--5.46992807E+04-2.06495741E+02-8.81576052E+00 2.51850339E-01-1.76623334E-04 3
- 6.31589402E-08-9.18640617E-12-3.68026221E+04 9.03049262E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CCL(26) C 2H 5 G 100.000 5000.000 1648.26 1
- 3.96316091E+01 8.49195137E-02-3.36752866E-05 5.95790351E-09-3.95396480E-13 2
--3.95727588E+04-1.70654782E+02-6.10590951E+00 1.95915286E-01-1.34686954E-04 3
- 4.68137421E-08-6.59220368E-12-2.44952792E+04 7.28583139E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CCCR(27) C 3H 7 G 100.000 5000.000 1619.33 1
- 4.02383699E+01 9.36798304E-02-3.76187744E-05 6.70903400E-09-4.47891496E-13 2
--4.25183136E+04-1.71736776E+02-6.63284667E+00 2.09459578E-01-1.44867030E-04 3
- 5.08625565E-08-7.26455325E-12-2.73383810E+04 7.69820737E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C7H14LR(28) C 7H 14 G 100.000 5000.000 1479.02 1
- 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2
--7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3
- 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C10H20LR(29) C 10H 20 G 100.000 5000.000 1466.16 1
- 7.67441503E+01 2.28947774E-01-9.52763901E-05 1.74235795E-08-1.18670493E-12 2
--8.93030266E+04-3.32347701E+02-1.98836507E+01 4.92570837E-01-3.64985722E-04 3
- 1.40061853E-07-2.20983092E-11-6.09688382E+04 1.70799299E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-C9H18L2(30) C 9H 18 G 100.000 5000.000 1475.27 1
- 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2
--8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3
- 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-CC(L)CCR(31) C 4H 8 G 100.000 5000.000 1494.35 1
- 6.71460882E+01 1.86045197E-01-7.70682258E-05 1.40492108E-08-9.54366487E-13 2
--6.82399178E+04-2.90609368E+02-1.60257393E+01 4.08679900E-01-3.00549296E-04 3
- 1.13751724E-07-1.76346235E-11-4.33828661E+04 1.44054310E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-CCCC(C)CR(32) C 6H 13 G 100.000 5000.000 1571.50 1
- 4.47361094E+01 1.15517591E-01-4.68986533E-05 8.43018160E-09-5.66431604E-13 2
--5.28741224E+04-1.90819487E+02-8.52834708E+00 2.51093805E-01-1.76306547E-04 3
- 6.33280547E-08-9.29979511E-12-3.61331189E+04 9.02278398E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-C8H16L2(33) C 8H 16 G 100.000 5000.000 1484.71 1
- 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2
--8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3
- 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(CR)CCR(34) C 5H 10 G 100.000 5000.000 1483.31 1
- 6.79194031E+01 1.94616011E-01-8.09371883E-05 1.47882824E-08-1.00618649E-12 2
--7.12925726E+04-2.92696761E+02-1.65814805E+01 4.22487642E-01-3.11373300E-04 3
- 1.18356929E-07-1.84618888E-11-4.62244259E+04 1.48287650E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(L)CC(C)L(35) C 5H 10 G 100.000 5000.000 1499.79 1
- 7.03777505E+01 1.90385023E-01-7.84498327E-05 1.42615841E-08-9.67153121E-13 2
--7.26555240E+04-3.07183409E+02-1.68423354E+01 4.23001038E-01-3.11094971E-04 3
- 1.17672369E-07-1.82044417E-11-4.64927737E+04 1.48956870E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H16R2(36) C 8H 16 G 100.000 5000.000 1469.25 1
- 7.27198238E+01 2.16067137E-01-9.00420105E-05 1.64757764E-08-1.12238939E-12 2
--8.18255679E+04-3.13575341E+02-1.85116031E+01 4.64443913E-01-3.43618374E-04 3
- 1.31535688E-07-2.07004907E-11-5.50173505E+04 1.61664570E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-CC(L)CC(C)CR(37) C 6H 12 G 100.000 5000.000 1489.22 1
- 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2
--7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3
- 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C7H14LR(38) C 7H 14 G 100.000 5000.000 1479.02 1
- 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2
--7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3
- 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C9H18R2(39) C 9H 18 G 100.000 5000.000 1475.27 1
- 7.59528611E+01 2.20398637E-01-9.14165528E-05 1.66861152E-08-1.13498563E-12 2
--8.62394036E+04-3.30152770E+02-1.93244509E+01 4.78730549E-01-3.54078942E-04 3
- 1.35381875E-07-2.12492329E-11-5.81274570E+04 1.66552894E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C7H14R2(40) C 7H 14 G 100.000 5000.000 1479.02 1
- 7.19338964E+01 2.07510640E-01-8.61785979E-05 1.57375767E-08-1.07061559E-12 2
--7.87648661E+04-3.11411839E+02-1.79529115E+01 4.50608518E-01-3.32724419E-04 3
- 1.26867651E-07-1.98549942E-11-5.21759438E+04 1.57420074E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(L)CR(41) C 3H 6 G 100.000 5000.000 1505.82 1
- 6.63779470E+01 1.77470953E-01-7.31993102E-05 1.33104776E-08-9.02593934E-13 2
--6.51915286E+04-2.88554972E+02-1.54725850E+01 3.94896093E-01-2.89784759E-04 3
- 1.09198923E-07-1.68222817E-11-4.05411699E+04 1.39830782E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-CC(CR)CR(42) C 4H 8 G 100.000 5000.000 1494.35 1
- 6.71460882E+01 1.86045197E-01-7.70682258E-05 1.40492108E-08-9.54366487E-13 2
--6.82399178E+04-2.90609368E+02-1.60257393E+01 4.08679900E-01-3.00549296E-04 3
- 1.13751724E-07-1.76346235E-11-4.33828661E+04 1.44054310E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H16LR(43) C 8H 16 G 100.000 5000.000 1484.71 1
- 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2
--8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3
- 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H16LR(44) C 8H 16 G 100.000 5000.000 1484.71 1
- 7.51657343E+01 2.11846595E-01-8.75566252E-05 1.59488868E-08-1.08330118E-12 2
--8.31791443E+04-3.27984274E+02-1.87673673E+01 4.64909968E-01-3.43221574E-04 3
- 1.30745896E-07-2.04128278E-11-5.52859650E+04 1.62314504E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(L)CCC(C)L(45) C 6H 12 G 100.000 5000.000 1489.22 1
- 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2
--7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3
- 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-C7H14L2(46) C 7H 14 G 100.000 5000.000 1494.60 1
- 7.43845326E+01 2.03289032E-01-8.36952377E-05 1.52115930E-08-1.03162789E-12 2
--8.01231385E+04-3.25852407E+02-1.82123807E+01 4.51108910E-01-3.32413134E-04 3
- 1.26153446E-07-1.95889395E-11-5.24443634E+04 1.58084057E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-CC(L)C(C)CR(47) C 5H 10 G 100.000 5000.000 1499.79 1
- 7.03777505E+01 1.90385023E-01-7.84498327E-05 1.42615841E-08-9.67153121E-13 2
--7.26555240E+04-3.07183409E+02-1.68423354E+01 4.23001038E-01-3.11094971E-04 3
- 1.17672369E-07-1.82044417E-11-4.64927737E+04 1.48956870E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C10H20R2(48) C 10H 20 G 100.000 5000.000 1466.16 1
- 7.67441503E+01 2.28947774E-01-9.52763901E-05 1.74235795E-08-1.18670493E-12 2
--8.93030266E+04-3.32347701E+02-1.98836507E+01 4.92570837E-01-3.64985722E-04 3
- 1.40061853E-07-2.20983092E-11-6.09688382E+04 1.70799299E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C8H17L(49) C 8H 17 G 100.000 5000.000 1554.89 1
- 4.86451320E+01 1.28557691E-01-5.22112034E-05 9.39422141E-09-6.31961750E-13 2
--6.02890306E+04-2.08916685E+02-9.89275526E+00 2.79147767E-01-1.97484881E-04 3
- 7.16808740E-08-1.06465782E-11-4.20849931E+04 9.93338245E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C11H22L2(50) C 11H 22 G 100.000 5000.000 1471.95 1
- 7.99750319E+01 2.33281944E-01-9.66520937E-05 1.76341309E-08-1.19931512E-12 2
--9.37155757E+04-3.48912285E+02-2.06961127E+01 5.06853825E-01-3.75436947E-04 3
- 1.43899535E-07-2.26445517E-11-6.40789645E+04 1.75686167E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(L)C(C)L(51) C 4H 8 G 100.000 5000.000 1510.86 1
- 6.96078518E+01 1.81816021E-01-7.45847849E-05 1.35239001E-08-9.15475584E-13 2
--6.96072914E+04-3.05120767E+02-1.62906661E+01 4.09230782E-01-3.00363448E-04 3
- 1.13148050E-07-1.74000456E-11-4.36509978E+04 1.44738996E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-CC(CR)C(C)CR(52) C 6H 12 G 100.000 5000.000 1489.22 1
- 7.11536137E+01 1.98949166E-01-8.23140692E-05 1.49993977E-08-1.01886043E-12 2
--7.57083234E+04-3.09283436E+02-1.73964228E+01 4.36793657E-01-3.21882019E-04 3
- 1.22245574E-07-1.90227436E-11-4.93344220E+04 1.53183919E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C10H20L2(53) C 10H 20 G 100.000 5000.000 1480.81 1
- 7.91833410E+01 2.24735842E-01-9.27948993E-05 1.68974356E-08-1.14766819E-12 2
--9.06527016E+04-3.46716799E+02-2.01384092E+01 4.93027362E-01-3.64564450E-04 3
- 1.39249733E-07-2.18040727E-11-6.12375042E+04 1.71445441E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C11H22LR(54) C 11H 22 G 100.000 5000.000 1471.95 1
- 7.99750319E+01 2.33281944E-01-9.66520937E-05 1.76341309E-08-1.19931512E-12 2
--9.37155757E+04-3.48912285E+02-2.06961127E+01 5.06853825E-01-3.75436947E-04 3
- 1.43899535E-07-2.26445517E-11-6.40789645E+04 1.75686167E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-RCCR(55) C 2H 4 G 100.000 5000.000 1500.22 1
- 6.31443474E+01 1.73132989E-01-7.18182364E-05 1.30981430E-08-8.89805343E-13 2
--6.07745508E+04-2.71968994E+02-1.46553688E+01 3.80569205E-01-2.79224763E-04 3
- 1.05265628E-07-1.62488543E-11-3.74312949E+04 1.34925870E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C6H11R(56) C 6H 11 G 100.000 5000.000 1573.74 1
- 4.44614767E+01 1.10024794E-01-4.45884695E-05 8.00872436E-09-5.37864887E-13 2
--3.95105343E+04-1.88882527E+02-8.23867289E+00 2.43974812E-01-1.72263205E-04 3
- 6.20946966E-08-9.12989091E-12-2.29234172E+04 8.92618993E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C5H9L(57) C 5H 9 G 100.000 5000.000 1596.45 1
- 4.37869676E+01 1.01342742E-01-4.06765588E-05 7.26290782E-09-4.85685660E-13 2
--3.65216992E+04-1.87392304E+02-7.70229806E+00 2.30345382E-01-1.61879110E-04 3
- 5.78736153E-08-8.41077781E-12-2.00808296E+04 8.51021119E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH)
-C3H5R(58) C 3H 5 G 100.000 5000.000 1622.86 1
- 3.96068401E+01 8.88860835E-02-3.57370036E-05 6.37739500E-09-4.25852434E-13 2
--2.83511716E+04-1.67857564E+02-6.28921156E+00 2.02012109E-01-1.40300717E-04 3
- 4.93327143E-08-7.04320343E-12-1.34548820E+04 7.57858915E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH)
-C3H5L(59) C 3H 5 G 100.000 5000.000 1574.43 1
- 3.87516459E+01 9.03518399E-02-3.64895985E-05 6.54424310E-09-4.39156847E-13 2
--2.80190099E+04-1.63108264E+02-6.34472480E+00 2.04923457E-01-1.45644631E-04 3
- 5.27640327E-08-7.77826746E-12-1.38187555E+04 7.49247196E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH)
-C4H7R(60) C 4H 7 G 100.000 5000.000 1549.92 1
- 3.94537407E+01 9.90023529E-02-4.03890107E-05 7.28801366E-09-4.91219466E-13 2
--3.10255349E+04-1.64764903E+02-6.88564493E+00 2.18594302E-01-1.56129385E-04 3
- 5.70714999E-08-8.52124630E-12-1.66610987E+04 7.91018149E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C8H15L(61) C 8H 15 G 100.000 5000.000 1556.80 1
- 4.83755521E+01 1.23055907E-01-4.98957019E-05 8.97148815E-09-6.03288118E-13 2
--4.69273810E+04-2.07007849E+02-9.60235862E+00 2.72022403E-01-1.93426767E-04 3
- 7.04354708E-08-1.04735063E-11-2.88753318E+04 9.83651109E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C7H13R(62) C 7H 13 G 100.000 5000.000 1514.69 1
- 4.41411172E+01 1.20598012E-01-4.95591836E-05 8.98803361E-09-6.08288683E-13 2
--4.18951831E+04-1.84973005E+02-8.80078909E+00 2.60409894E-01-1.88017759E-04 3
- 6.99295301E-08-1.06668910E-11-2.58573734E+04 9.24221318E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H11L(63) C 6H 11 G 100.000 5000.000 1534.14 1
- 4.34033539E+01 1.11985813E-01-4.56735399E-05 8.24618201E-09-5.56306813E-13 2
--3.88648693E+04-1.83099435E+02-8.25205344E+00 2.46667371E-01-1.77357154E-04 3
- 6.54694725E-08-9.88122830E-12-2.30154470E+04 8.82153246E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cs_S)
-C10H20R(64) C 10H 20 G 100.000 5000.000 1523.52 1
- 4.86315535E+01 1.45358503E-01-6.02695778E-05 1.09681376E-08-7.43337390E-13 2
--4.31234934E+04-2.02791872E+02-1.06125216E+01 3.00903849E-01-2.13413719E-04 3
- 7.79814730E-08-1.17398088E-11-2.50715978E+04 1.07969652E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H17LR(65) C 9H 17 G 100.000 5000.000 1391.85 1
- 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2
--5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3
- 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
-C9H17LR(66) C 9H 17 G 100.000 5000.000 1460.67 1
- 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2
--6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3
- 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
-C9H17LR(67) C 9H 17 G 100.000 5000.000 1460.67 1
- 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2
--6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3
- 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
-C9H17LR(68) C 9H 17 G 100.000 5000.000 1460.67 1
- 7.19982941E+01 2.24242474E-01-9.42211495E-05 1.73116207E-08-1.18223052E-12 2
--6.12543366E+04-3.05078711E+02-1.87004565E+01 4.72621605E-01-3.49291611E-04 3
- 1.33730313E-07-2.11080655E-11-3.47585087E+04 1.66854421E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H17LR(69) C 9H 17 G 100.000 5000.000 1391.85 1
- 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2
--5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3
- 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
-C9H17LR(70) C 9H 17 G 100.000 5000.000 1430.10 1
- 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2
--5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3
- 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
-C9H17LR(71) C 9H 17 G 100.000 5000.000 1430.10 1
- 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2
--5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3
- 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H17LR(72) C 9H 17 G 100.000 5000.000 1391.85 1
- 6.32706558E+01 2.38340487E-01-1.01906293E-04 1.89140862E-08-1.30109633E-12 2
--5.85099430E+04-2.56016962E+02-1.79729619E+01 4.71824309E-01-3.53532341E-04 3
- 1.39437628E-07-2.29491791E-11-3.58941561E+04 1.62798420E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
-C9H17LR(73) C 9H 17 G 100.000 5000.000 1430.10 1
- 7.27036152E+01 2.21748665E-01-9.18410684E-05 1.67782644E-08-1.14345944E-12 2
--5.97403393E+04-3.08286691E+02-1.91398090E+01 4.78637158E-01-3.61287541E-04 3
- 1.42386419E-07-2.31015432E-11-3.34714644E+04 1.67660575E+02 4
-
-! Thermo library: DFT_QCI_thermo
-CH3(74) C 1H 3 G 100.000 5000.000 660.46 1
- 3.22169532E+00 5.22646123E-03-1.64124874E-06 2.58224556E-10-1.62579368E-14 2
- 1.65213100E+04 3.53938346E+00 3.94800490E+00 8.27599092E-04 8.34931957E-06 3
--9.82634852E-09 3.80104045E-12 1.64253714E+04 3.36654899E-01 4
-
-! Thermo library: primaryThermoLibrary
-C(75) C 1H 4 G 100.000 5000.000 1084.12 1
- 9.08278561E-01 1.14540647E-02-4.57172635E-06 8.29188900E-10-5.66312625E-14 2
--9.71998006E+03 1.39930217E+01 4.20541301E+00-5.35554796E-03 2.51122401E-05 3
--2.13761779E-08 5.97519672E-12-1.01619432E+04-9.21271252E-01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cs_S)
-C10H20L(76) C 10H 20 G 100.000 5000.000 1523.52 1
- 4.86315535E+01 1.45358503E-01-6.02695778E-05 1.09681376E-08-7.43337390E-13 2
--4.31234934E+04-2.02791872E+02-1.06125216E+01 3.00903849E-01-2.13413719E-04 3
- 7.79814730E-08-1.17398088E-11-2.50715978E+04 1.07969652E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C5H8L(77) C 5H 8 G 100.000 5000.000 1601.46 1
- 4.23882656E+01 1.00590274E-01-4.02047684E-05 7.15630533E-09-4.77527232E-13 2
--2.01737155E+04-1.81426183E+02-7.42917055E+00 2.25020390E-01-1.56751717E-04 3
- 5.56732885E-08-8.05139883E-12-4.21759796E+03 8.23739357E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + radical(Allyl_P)
-C3H4R(78) C 3H 4 G 100.000 5000.000 1617.17 1
- 4.26862363E+01 8.16269168E-02-3.20789189E-05 5.66174589E-09-3.75757549E-13 2
--1.11768129E+04-1.84381803E+02-6.66621560E+00 2.03694766E-01-1.45299431E-04 3
- 5.23348216E-08-7.59080173E-12 4.78588016E+03 7.74392091E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C4H6R(79) C 4H 6 G 100.000 5000.000 1546.08 1
- 4.08763064E+01 9.43104971E-02-3.81431717E-05 6.85603806E-09-4.61216850E-13 2
--1.47116486E+04-1.72484867E+02-7.00666109E+00 2.18193748E-01-1.58335126E-04 3
- 5.86829916E-08-8.84166482E-12 9.44115568E+01 7.93860812E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopropane) + radical(Tertalkyl)
-C[C]1CC1R(80) C 4H 6 G 100.000 5000.000 1677.66 1
- 4.32694628E+01 8.94628905E-02-3.52676167E-05 6.20879235E-09-4.10273142E-13 2
--7.32836306E+03-1.87616915E+02-6.87875301E+00 2.09030442E-01-1.42173709E-04 3
- 4.86911936E-08-6.74090305E-12 9.49789798E+03 8.02657143E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C4H7R(81) C 4H 7 G 100.000 5000.000 1542.75 1
- 3.76063799E+01 1.01870887E-01-4.19662215E-05 7.60921443E-09-5.14337475E-13 2
--3.17976825E+04-1.54872490E+02-6.63876271E+00 2.16588254E-01-1.53504519E-04 3
- 5.58080264E-08-8.32485702E-12-1.81458166E+04 7.77680482E+01 4
-
-! Thermo library: primaryThermoLibrary
-H(82) H 1 G 100.000 5000.000 4561.14 1
- 2.50001921E+00-1.64942466E-08 5.30954718E-12-7.59275309E-16 4.06972192E-20 2
- 2.54741999E+04-4.45095101E-01 2.50000000E+00-2.06855000E-14 2.66266370E-17 3
--1.11497399E-20 1.43541790E-24 2.54742178E+04-4.44972896E-01 4
-
-! Thermo library: primaryThermoLibrary
-[H][H](83) H 2 G 100.000 5000.000 1959.07 1
- 2.78817312E+00 5.87631468E-04 1.59014852E-07-5.52747927E-11 4.34317472E-15 2
--5.96148572E+02 1.12689431E-01 3.43536405E+00 2.12710960E-04-2.78626417E-07 3
- 3.40268245E-10-7.76034667E-14-1.03135984E+03-3.90841705E+00 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C5H9L(84) C 5H 9 G 100.000 5000.000 1560.08 1
- 4.15747769E+01 1.05080059E-01-4.28066831E-05 7.71413382E-09-5.19333133E-13 2
--3.61498735E+04-1.74820688E+02-7.51322850E+00 2.30941265E-01-1.63821810E-04 3
- 5.94277508E-08-8.80641131E-12-2.08337497E+04 8.38314376E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(Isobutyl)
-C7H15(85) C 7H 15 G 100.000 5000.000 1038.88 1
- 1.29721091E+01 4.54907462E-02-1.71882902E-05 3.06426502E-09-2.09450660E-13 2
--6.37556447E+03-3.75046223E+01 2.13908678E-01 7.18061257E-02-2.22529724E-05 3
--1.48182031E-08 9.17930038E-12-2.49394764E+03 3.04565124E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH)
-C3H5L(86) C 3H 5 G 100.000 5000.000 1622.86 1
- 3.96068401E+01 8.88860835E-02-3.57370036E-05 6.37739500E-09-4.25852434E-13 2
--2.83511716E+04-1.67857564E+02-6.28921156E+00 2.02012109E-01-1.40300717E-04 3
- 4.93327143E-08-7.04320343E-12-1.34548820E+04 7.57858915E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-CC(C)CC(C)C(87) C 7H 16 G 100.000 5000.000 1058.23 1
- 1.34326009E+01 4.84570962E-02-1.90871781E-05 3.49346215E-09-2.42556546E-13 2
--3.15482438E+04-4.47651915E+01 1.91163226E-01 7.01352878E-02-9.59752450E-06 3
--2.78212306E-08 1.31408798E-11-2.71570629E+04 2.73728430E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! ring(Cyclopropane) + radical(cyclopropane)
-RC1[CH]C1(88) C 3H 4 G 100.000 5000.000 1151.07 1
- 3.33919151E+01 9.46269399E-02-3.87084097E-05 7.15379941E-09-4.95928376E-13 2
- 6.30083748E+03-1.31815947E+02-5.78465261E+00 1.86158798E-01-9.98571637E-05 3
- 8.90258332E-09 6.43628048E-12 1.82750317E+04 7.55368861E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C5H8L(89) C 5H 8 G 100.000 5000.000 1594.20 1
- 4.69357996E+01 9.39760724E-02-3.69605026E-05 6.53422234E-09-4.34548893E-13 2
--1.93804483E+04-2.04314770E+02-8.07693036E+00 2.32008430E-01-1.66836795E-04 3
- 6.08462906E-08-8.95169441E-12-1.84021061E+03 8.67461854E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C6H10R(90) C 6H 10 G 100.000 5000.000 1577.55 1
- 4.30521565E+01 1.09286748E-01-4.41236445E-05 7.90355110E-09-5.29812297E-13 2
--2.31566630E+04-1.82854022E+02-7.96494702E+00 2.38644237E-01-1.67121808E-04 3
- 5.98819811E-08-8.76699986E-12-7.06021677E+03 8.65314585E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C4H5L(91) C 4H 5 G 100.000 5000.000 1202.61 1
- 3.92568879E+01 9.24026354E-02-3.70827523E-05 6.75722158E-09-4.63497728E-13 2
--1.64497691E+04-1.62808037E+02-7.05652185E+00 2.12585949E-01-1.44752777E-04 3
- 4.30319946E-08-3.13736874E-12-2.86188191E+03 7.93519034E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + radical(Allyl_S)
-C6H9L2(92) C 6H 9 G 100.000 5000.000 1509.91 1
- 7.23290017E+01 1.88932694E-01-7.80037968E-05 1.41889135E-08-9.62233073E-13 2
--4.54511146E+04-3.16204367E+02-1.70523038E+01 4.25719677E-01-3.13237868E-04 3
- 1.18051733E-07-1.81591762E-11-1.84597060E+04 1.51837883E+02 4
-
-! Thermo library: DFT_QCI_thermo
-C[CH]CC(93) C 4H 9 G 100.000 5000.000 1083.85 1
- 6.12705092E+00 2.82085259E-02-1.13016302E-05 2.07329731E-09-1.43449797E-13 2
- 4.72407282E+03-4.53130119E+00 2.48181165E+00 2.70987649E-02 1.03882077E-05 3
--2.36643859E-08 8.65252146E-12 6.36961909E+03 1.72943401E+01 4
-
-! Thermo library: DFT_QCI_thermo
-C[CH]C(94) C 3H 7 G 100.000 5000.000 1029.98 1
- 4.36587086E+00 2.14398704E-02-8.48554072E-06 1.56800604E-09-1.09812131E-13 2
- 8.03954671E+03 2.70031117E+00 3.23517657E+00 1.11017098E-02 2.80210079E-05 3
--3.59453905E-08 1.23655265E-11 9.05375594E+03 1.19813906E+01 4
-
-! Thermo library: DFT_QCI_thermo
-CCC(95) C 3H 8 G 100.000 5000.000 990.00 1
- 5.60447662E+00 2.19527487E-02-8.22073118E-06 1.50102222E-09-1.05633888E-13 2
--1.58394358E+04-6.22666189E+00 3.06334227E+00 1.29216894E-02 3.47024469E-05 3
--4.70935143E-08 1.71379380E-11-1.43905780E+04 1.07836285E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_S)
-C5H8L(96) C 5H 8 G 100.000 5000.000 1633.63 1
- 4.55080988E+01 9.64889711E-02-3.85348271E-05 6.84821621E-09-4.55954447E-13 2
--1.93909644E+04-1.97870777E+02-7.68519665E+00 2.26734045E-01-1.58125411E-04 3
- 5.56516237E-08-7.92447488E-12-2.01125653E+03 8.48638654E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C7H11LR(97) C 7H 11 G 100.000 5000.000 1499.26 1
- 7.30957065E+01 1.97507231E-01-8.18720734E-05 1.49273655E-08-1.01397460E-12 2
--4.84980580E+04-3.18249121E+02-1.76043759E+01 4.39493522E-01-3.23977827E-04 3
- 1.22583044E-07-1.89654455E-11-2.13014596E+04 1.56057300E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C6H11R(98) C 6H 11 G 100.000 5000.000 1538.01 1
- 4.22750830E+01 1.13740300E-01-4.67141669E-05 8.46020096E-09-5.71608942E-13 2
--3.91583501E+04-1.76472169E+02-8.05769744E+00 2.44644059E-01-1.74382911E-04 3
- 6.37996120E-08-9.56691094E-12-2.36758992E+04 8.80220864E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C6H9LR(99) C 6H 9 G 100.000 5000.000 1406.10 1
- 5.84314024E+01 2.11113350E-01-9.04274332E-05 1.67930805E-08-1.15517132E-12 2
--3.36486804E+04-2.33753235E+02-1.57128536E+01 4.22037250E-01-3.15439258E-04 3
- 1.23477838E-07-2.01235702E-11-1.27980487E+04 1.49219012E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Allyl_S)
-C7H9LR(100) C 7H 9 G 100.000 5000.000 1505.57 1
- 7.31595925E+01 1.91621995E-01-7.94601354E-05 1.44890057E-08-9.84095914E-13 2
--3.38353104E+04-3.17488975E+02-1.73064689E+01 4.31966551E-01-3.18909761E-04 3
- 1.20514795E-07-1.85892625E-11-6.59405836E+03 1.55975790E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + radical(RCCJCC)
-CC(L)C[CH]L(101) C 4H 7 G 100.000 5000.000 1445.46 1
- 5.82323205E+01 1.97288637E-01-8.35006602E-05 1.53963176E-08-1.05374327E-12 2
--4.11999866E+04-2.37279273E+02-1.49372844E+01 3.99767772E-01-2.93617621E-04 3
- 1.12304272E-07-1.78143220E-11-2.00470275E+04 1.42680210E+02 4
-
-! Thermo library: DFT_QCI_thermo
-C3H5(102) C 3H 5 G 100.000 5000.000 942.19 1
- 8.06879734E+00 1.01833680E-02-2.84777615E-06 5.00839348E-10-3.79594393E-14 2
- 1.69146147E+04-1.95280963E+01 3.29609384E+00 5.79287479E-03 4.33896783E-05 3
--5.99857602E-08 2.33800081E-11 1.89082169E+04 9.02012687E+00 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C6H10L(103) C 6H 10 G 100.000 5000.000 1532.13 1
- 4.52170097E+01 1.06543786E-01-4.29724403E-05 7.71847092E-09-5.19310898E-13 2
--2.29690207E+04-1.92959095E+02-8.42686039E+00 2.46594475E-01-1.80086396E-04 3
- 6.73801617E-08-1.02544177E-11-6.53117340E+03 8.87291093E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C5H7L(104) C 5H 7 G 100.000 5000.000 1521.94 1
- 4.48175384E+01 9.39010236E-02-3.72171843E-05 6.63649644E-09-4.45042096E-13 2
--2.34033008E+04-1.93495439E+02-7.91047958E+00 2.32481973E-01-1.73800259E-04 3
- 6.64649423E-08-1.02726953E-11-7.35351105E+03 8.30318350E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H9R(105) C 6H 9 G 100.000 5000.000 1590.42 1
- 4.60365286E+01 1.01961297E-01-4.10324940E-05 7.34167468E-09-4.91711153E-13 2
--2.36938595E+04-1.96208293E+02-8.14538326E+00 2.38231885E-01-1.69555597E-04 3
- 6.12154929E-08-8.96019333E-12-6.45944603E+03 9.03284623E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C7H11L2(106) C 7H 11 G 100.000 5000.000 1474.00 1
- 7.07714902E+01 2.01350075E-01-8.39753265E-05 1.53710386E-08-1.04725580E-12 2
--4.91562442E+04-3.05846186E+02-1.74521315E+01 4.40763701E-01-3.27612814E-04 3
- 1.25564758E-07-1.97368918E-11-2.31480088E+04 1.54010473E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C6H11L(107) C 6H 11 G 100.000 5000.000 1527.76 1
- 4.19190520E+01 1.14150632E-01-4.68217907E-05 8.47777542E-09-5.72934512E-13 2
--4.00429130E+04-1.75188194E+02-8.06129866E+00 2.45009393E-01-1.75302398E-04 3
- 6.45425185E-08-9.74724344E-12-2.47712695E+04 8.71200648E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C7H12R(108) C 7H 12 G 100.000 5000.000 1513.85 1
- 4.59853455E+01 1.15107211E-01-4.68311918E-05 8.45417368E-09-5.70795050E-13 2
--2.60133365E+04-1.95006946E+02-8.97408625E+00 2.60324138E-01-1.90718842E-04 3
- 7.18188585E-08-1.10349053E-11-9.37318742E+03 9.29300752E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopropane)
-! + radical(Tertalkyl)
-C7H12R(109) C 7H 12 G 100.000 5000.000 1621.91 1
- 4.76000719E+01 1.11495896E-01-4.46275323E-05 7.94370489E-09-5.29655936E-13 2
--1.79807363E+04-2.05694056E+02-8.75303325E+00 2.50473773E-01-1.73157608E-04 3
- 6.07737928E-08-8.67274476E-12 2.99424706E+02 9.34304178E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH)
-C6H10(110) C 6H 10 G 100.000 5000.000 1023.19 1
- 1.24480301E+01 2.94414962E-02-1.12019207E-05 2.03342668E-09-1.41510457E-13 2
--8.35565333E+02-3.93998064E+01 1.14011395E+00 5.31090461E-02-1.57885048E-05 3
--1.45965712E-08 8.71519560E-12 2.55359686E+03 2.06674104E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H9R(111) C 6H 9 G 100.000 5000.000 1584.59 1
- 4.74581296E+01 9.96063557E-02-3.96166839E-05 7.04981702E-09-4.70839326E-13 2
--2.37711356E+04-2.06728399E+02-8.39552643E+00 2.40598401E-01-1.73082142E-04 3
- 6.32012227E-08-9.32981795E-12-6.07010347E+03 8.84440887E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C8H14L(112) C 8H 14 G 100.000 5000.000 1559.63 1
- 4.69575930E+01 1.22330194E-01-4.94371073E-05 8.86764449E-09-5.95337405E-13 2
--3.05689692E+04-2.00929035E+02-9.32838229E+00 2.66689366E-01-1.88278779E-04 3
- 6.82165572E-08-1.01087639E-11-1.30121435E+04 9.56337353E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ)
-C6H9(113) C 6H 9 G 100.000 5000.000 965.66 1
- 1.28508180E+01 2.59267182E-02-8.99835414E-06 1.59787198E-09-1.12287613E-13 2
- 1.29996083E+04-4.04076437E+01 1.45430192E+00 4.38196386E-02 8.74269289E-06 3
--4.20860694E-08 1.93355023E-11 1.65674203E+04 2.12526341E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs)
-! + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C6H9(114) C 6H 9 G 100.000 5000.000 974.14 1
- 1.16266301E+01 2.76565377E-02-1.01259880E-05 1.93056321E-09-1.43342141E-13 2
- 9.24692046E+03-3.99968031E+01 2.32236037E+00 1.78606161E-02 7.88707001E-05 3
--1.09558747E-07 4.14503650E-11 1.33371803E+04 1.63370754E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + ring(Cyclopentene) + ring(Cyclopentene)
-C12H18(115) C 12H 18 G 100.000 5000.000 982.68 1
- 2.58537483E+01 5.42751926E-02-2.04232601E-05 3.93295701E-09-2.92474477E-13 2
--8.88934905E+03-1.14148907E+02-9.06266139E-01 7.00284850E-02 9.77540966E-05 3
--1.72727837E-07 6.91981927E-11 8.68634248E+02 3.73750203E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs)
-! + group(Cds-CdsCsH) + ring(Cyclopentene)
-C6H10(116) C 6H 10 G 100.000 5000.000 978.05 1
- 1.15904641E+01 3.01308647E-02-1.11359205E-05 2.10398666E-09-1.54285955E-13 2
--6.00680629E+03-3.84890689E+01 2.11758117E+00 2.31619608E-02 6.96574775E-05 3
--1.00753225E-07 3.83518295E-11-1.96752133E+03 1.81787044E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + ring(Cyclopentene) + ring(Cyclopentene)
-C12H18(117) C 12H 18 G 100.000 5000.000 984.99 1
- 2.34227201E+01 5.70666034E-02-2.14134270E-05 4.04326449E-09-2.95019522E-13 2
--8.63092160E+03-9.97441357E+01-9.10744148E-01 7.46988053E-02 7.53684487E-05 3
--1.45139453E-07 5.88073709E-11 1.01018910E+02 3.72743169E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene)
-C6H8(118) C 6H 8 G 100.000 5000.000 962.95 1
- 1.33073959E+01 2.19368852E-02-7.42913585E-06 1.40172877E-09-1.05669590E-13 2
- 5.79963923E+03-4.79626161E+01 2.15945066E+00 2.20893500E-02 6.42297363E-05 3
--9.79840758E-08 3.86193478E-11 1.00865330E+04 1.65101316E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C10H14L(119) C 10H 14 G 100.000 5000.000 1495.48 1
- 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2
--9.56069375E+03-2.25478260E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3
- 8.42762141E-08-1.31948870E-11 9.27053982E+03 1.03609459E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C7H13R(120) C 7H 13 G 100.000 5000.000 1507.76 1
- 4.26488805E+01 1.22778875E-01-5.07176307E-05 9.22218519E-09-6.25137273E-13 2
--4.30709374E+04-1.77019000E+02-8.61227604E+00 2.58772114E-01-1.86011308E-04 3
- 6.90433914E-08-1.05440507E-11-2.76130738E+04 9.13354312E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C10H14L(121) C 10H 14 G 100.000 5000.000 1495.48 1
- 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2
--9.38456711E+03-2.25634258E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3
- 8.42762141E-08-1.31948870E-11 9.44666646E+03 1.03453461E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H14L(122) C 9H 14 G 100.000 5000.000 1346.86 1
- 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2
--9.64571507E+03-1.44742023E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3
- 8.84815507E-08-1.51162673E-11 3.06887128E+03 9.70311285E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_T)
-C6H7(123) C 6H 7 G 100.000 5000.000 963.17 1
- 1.11737556E+01 2.27046249E-02-7.83542343E-06 1.44541622E-09-1.05964395E-13 2
- 2.31333127E+04-3.92489141E+01 2.34714354E+00 2.10575107E-02 5.43826228E-05 3
--8.29089667E-08 3.25062219E-11 2.66103109E+04 1.22263534E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
-C5H9LR(124) C 5H 9 G 100.000 5000.000 1434.27 1
- 5.90142172E+01 2.05865834E-01-8.73812972E-05 1.61394478E-08-1.10597737E-12 2
--4.42643583E+04-2.39430112E+02-1.55052599E+01 4.13689401E-01-3.04727000E-04 3
- 1.17163504E-07-1.87147796E-11-2.28879474E+04 1.46959886E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene)
-C6H8(125) C 6H 8 G 100.000 5000.000 962.95 1
- 1.33074613E+01 2.19367727E-02-7.42907043E-06 1.40171323E-09-1.05668295E-13 2
- 5.97573878E+03-4.81189815E+01 2.15943197E+00 2.20895778E-02 6.42289069E-05 3
--9.79829573E-08 3.86188530E-11 1.02626604E+04 1.63542003E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C7H11(126) C 7H 11 G 100.000 5000.000 974.77 1
- 1.40205617E+01 3.31707499E-02-1.20972427E-05 2.28317690E-09-1.68048100E-13 2
- 4.58684111E+03-5.23716732E+01 1.64178432E+00 3.04027633E-02 7.45883732E-05 3
--1.13375755E-07 4.39529550E-11 9.54494466E+03 2.00858024E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + radical(C=CC=CCJ)
-C7H11(127) C 7H 11 G 100.000 5000.000 1011.64 1
- 1.32525188E+01 3.50663898E-02-1.32012045E-05 2.37832209E-09-1.64861385E-13 2
- 8.65365784E+03-4.12150901E+01 7.55848417E-01 5.99969458E-02-1.38676893E-05 3
--2.11034909E-08 1.15495134E-11 1.24347903E+04 2.54102146E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C8H13LR(128) C 8H 13 G 100.000 5000.000 1464.21 1
- 7.15635782E+01 2.09898576E-01-8.78350706E-05 1.61085255E-08-1.09897962E-12 2
--5.22204810E+04-3.08046133E+02-1.80116946E+01 4.54607381E-01-3.38528137E-04 3
- 1.30252379E-07-2.05881793E-11-2.59893710E+04 1.58258253E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C8H11LR(129) C 8H 11 G 100.000 5000.000 1497.66 1
- 7.42153730E+01 1.98672110E-01-8.18545556E-05 1.48800742E-08-1.00916500E-12 2
--3.90935997E+04-3.22225410E+02-1.79483170E+01 4.44821159E-01-3.28383399E-04 3
- 1.24617507E-07-1.93269569E-11-1.14870880E+04 1.59638185E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C7H10L(130) C 7H 10 G 100.000 5000.000 1593.18 1
- 4.79689964E+01 1.06330697E-01-4.29667230E-05 7.70068016E-09-5.16162636E-13 2
--1.03710937E+04-2.06252691E+02-8.65531391E+00 2.48497273E-01-1.76818257E-04 3
- 6.37108230E-08-9.30519932E-12 7.67147359E+03 9.32987024E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C6H10L(131) C 6H 10 G 100.000 5000.000 1612.05 1
- 4.63421917E+01 1.03840182E-01-4.10745917E-05 7.26908079E-09-4.83227622E-13 2
--2.45264616E+04-2.01304868E+02-8.31284910E+00 2.39455597E-01-1.67262911E-04 3
- 5.94542070E-08-8.57615397E-12-6.90502235E+03 8.84725896E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H14L(132) C 9H 14 G 100.000 5000.000 1346.86 1
- 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2
--9.46958843E+03-1.44898021E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3
- 8.84815507E-08-1.51162673E-11 3.24499792E+03 9.68751306E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H8R2(133) C 6H 8 G 100.000 5000.000 1501.37 1
- 7.28197778E+01 1.84640162E-01-7.59742187E-05 1.38080927E-08-9.36402016E-13 2
--4.73198683E+04-3.21266057E+02-1.70458284E+01 4.24064448E-01-3.15181371E-04 3
- 1.20025967E-07-1.86233262E-11-2.03357146E+04 1.48802450E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C8H11LR(134) C 8H 11 G 100.000 5000.000 1470.25 1
- 7.16120478E+01 2.04029187E-01-8.54283445E-05 1.56707602E-08-1.06911245E-12 2
--3.75472464E+04-3.07191758E+02-1.77092258E+01 4.47037851E-01-3.33353090E-04 3
- 1.28088662E-07-2.01844664E-11-1.12822079E+04 1.58159474E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C11H16L(135) C 11H 16 G 100.000 5000.000 1485.10 1
- 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2
--1.48400746E+04-2.30467907E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3
- 8.83766131E-08-1.39331740E-11 4.37746173E+03 1.07268953E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C11H16L(136) C 11H 16 G 100.000 5000.000 1485.10 1
- 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2
--1.46639480E+04-2.30623905E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3
- 8.83766131E-08-1.39331740E-11 4.55358837E+03 1.07112955E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C10H16R(137) C 10H 16 G 100.000 5000.000 1334.86 1
- 3.90329339E+01 1.49615226E-01-6.41215731E-05 1.19364359E-08-8.23677255E-13 2
--1.27620533E+04-1.47436821E+02-9.62725878E+00 2.95429574E-01-2.27975918E-04 3
- 9.37703163E-08-1.61500575E-11 2.28790976E+02 1.01374587E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
-C5H9LR(138) C 5H 9 G 100.000 5000.000 1434.27 1
- 5.90142172E+01 2.05865834E-01-8.73812972E-05 1.61394478E-08-1.10597737E-12 2
--4.42643583E+04-2.39430112E+02-1.55052599E+01 4.13689401E-01-3.04727000E-04 3
- 1.17163504E-07-1.87147796E-11-2.28879474E+04 1.46959886E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Tertalkyl)
-C6H10L(139) C 6H 10 G 100.000 5000.000 1426.13 1
- 3.26722211E+01 1.26527801E-01-5.42423493E-05 1.00616145E-08-6.91006323E-13 2
--9.84472139E+03-1.19129285E+02-6.97114774E+00 2.37717304E-01-1.71189136E-04 3
- 6.47292488E-08-1.02740515E-11 1.46279701E+03 8.61997392E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C10H16R(140) C 10H 16 G 100.000 5000.000 1334.82 1
- 3.90325964E+01 1.49615802E-01-6.41219064E-05 1.19365148E-08-8.23683819E-13 2
--1.25857860E+04-1.47590922E+02-9.62729428E+00 2.95429897E-01-2.27976701E-04 3
- 9.37709861E-08-1.61502433E-11 4.04919502E+02 1.01218725E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C8H12L(141) C 8H 12 G 100.000 5000.000 1575.52 1
- 4.88850867E+01 1.13571731E-01-4.54537772E-05 8.11081958E-09-5.42647441E-13 2
--1.55525917E+04-2.10169439E+02-9.28774775E+00 2.61263026E-01-1.86065277E-04 3
- 6.76090794E-08-9.98366826E-12 2.77796007E+03 9.69255665E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C9H13LR(142) C 9H 13 G 100.000 5000.000 1463.47 1
- 7.27144077E+01 2.11014178E-01-8.77905578E-05 1.60550908E-08-1.09367449E-12 2
--4.28304712E+04-3.12200388E+02-1.83545186E+01 4.59925774E-01-3.42914554E-04 3
- 1.32273512E-07-2.09468463E-11-1.61750658E+04 1.61834790E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C7H11LR(143) C 7H 11 G 100.000 5000.000 1366.60 1
- 5.71234057E+01 2.23272346E-01-9.63136794E-05 1.79655011E-08-1.24001440E-12 2
--3.75217448E+04-2.24918181E+02-1.61970597E+01 4.37881904E-01-3.31875106E-04 3
- 1.32880515E-07-2.22623342E-11-1.74820385E+04 1.51709671E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-
-! Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) +
-! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclobutane) + radical(Cs_S)
-C6H9LR(144) C 6H 9 G 100.000 5000.000 1639.17 1
- 8.68758316E+01 1.67384393E-01-6.67853618E-05 1.18689475E-08-7.90100066E-13 2
--4.43597602E+04-4.03211396E+02-1.81844923E+01 4.23758366E-01-3.01392056E-04 3
- 1.07285638E-07-1.53426656E-11-9.91735083E+03 1.55563891E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P)
-C6H9L2(145) C 6H 9 G 100.000 5000.000 1494.75 1
- 7.42651992E+01 1.85696898E-01-7.60656698E-05 1.37975249E-08-9.34912962E-13 2
--4.53065748E+04-3.30241912E+02-1.74614688E+01 4.31163492E-01-3.22397447E-04 3
- 1.23664196E-07-1.93105651E-11-1.78852251E+04 1.49155466E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C7H11R2(146) C 7H 11 G 100.000 5000.000 1396.30 1
- 5.92438387E+01 2.19654288E-01-9.42932172E-05 1.75336995E-08-1.20725710E-12 2
--3.67317819E+04-2.36087130E+02-1.62884779E+01 4.36032317E-01-3.26740666E-04 3
- 1.28516043E-07-2.10780073E-11-1.56385836E+04 1.53527434E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Allyl_P)
-C3H4L(147) C 3H 4 G 100.000 5000.000 1574.27 1
- 4.19518086E+01 8.29041870E-02-3.27292620E-05 5.80549667E-09-3.87209650E-13 2
--1.09016187E+04-1.81017153E+02-6.71700861E+00 2.06566688E-01-1.50559438E-04 3
- 5.57045735E-08-8.31148872E-12 4.42172509E+03 7.58665365E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Cs_S)
-C7H9LR(148) C 7H 9 G 100.000 5000.000 1231.33 1
- 7.18406956E+01 1.90679269E-01-7.75570670E-05 1.41826528E-08-9.72489773E-13 2
--3.42030523E+04-3.12431650E+02-1.75415672E+01 4.12909522E-01-2.65281881E-04 3
- 7.08857194E-08-3.36185704E-12-7.02638292E+03 1.58358714E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! ring(Cyclopropane) + radical(Tertalkyl)
-L[C]1CC1(149) C 3H 4 G 100.000 5000.000 1685.03 1
- 4.01559263E+01 8.49301161E-02-3.37777931E-05 5.97136371E-09-3.95439256E-13 2
--2.15998264E+03-1.71713050E+02-6.05209622E+00 1.94620858E-01-1.31423653E-04 3
- 4.46040738E-08-6.12719644E-12 1.34123897E+04 7.53245007E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) +
-! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_5_ane) +
-! radical(2-norbornyl)
-C7H9LR(150) C 7H 9 G 100.000 5000.000 1210.88 1
- 6.87933891E+01 1.97123553E-01-8.14140762E-05 1.50252134E-08-1.03644816E-12 2
--3.32171015E+04-3.05464744E+02-1.69802717E+01 4.00599868E-01-2.34536886E-04 3
- 4.48574793E-08 4.05069644E-12-6.58965220E+03 1.48933385E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclohexene) + radical(Cs_S)
-C7H9LR(151) C 7H 9 G 100.000 5000.000 1649.95 1
- 8.69707212E+01 1.70295215E-01-6.75455990E-05 1.19555254E-08-7.93532660E-13 2
--4.44419389E+04-4.03487615E+02-1.83133668E+01 4.25536131E-01-2.99588944E-04 3
- 1.05712896E-07-1.49995713E-11-9.69911045E+03 1.57168130E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Allyl_S)
-C7H9L2(152) C 7H 9 G 100.000 5000.000 1485.40 1
- 7.26899076E+01 1.92566257E-01-7.99621565E-05 1.46047290E-08-9.93636006E-13 2
--3.37172865E+04-3.15005791E+02-1.73900850E+01 4.35142056E-01-3.24923675E-04 3
- 1.24547263E-07-1.94976048E-11-6.95647987E+03 1.55220792E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C7H12R(153) C 7H 12 G 100.000 5000.000 1406.20 1
- 3.34299144E+01 1.35154598E-01-5.81548588E-05 1.08128113E-08-7.43941748E-13 2
--1.29021953E+04-1.21150066E+02-7.54745328E+00 2.51716243E-01-1.82491334E-04 3
- 6.97594321E-08-1.12236826E-11-1.37768627E+03 9.05109847E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_4_6_ane) +
-! radical(bicyclo[3.1.1]heptane-C2)
-C7H9LR(154) C 7H 9 G 100.000 5000.000 1255.40 1
- 7.07846220E+01 1.94277815E-01-7.99183991E-05 1.46613840E-08-1.00532462E-12 2
--2.98530904E+04-3.15892529E+02-1.72197799E+01 4.06008097E-01-2.50848725E-04 3
- 6.18583276E-08-1.72677567E-12-2.34549686E+03 1.50247582E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Tertalkyl)
-CC[C](C)L(155) C 4H 8 G 100.000 5000.000 1457.31 1
- 2.99081782E+01 1.17037819E-01-4.99520207E-05 9.23274549E-09-6.32174453E-13 2
--1.86730883E+04-1.08922880E+02-5.94694362E+00 2.15453287E-01-1.51251402E-04 3
- 5.55739915E-08-8.58204187E-12-8.22278178E+03 7.75597786E+01 4
-
-! Thermo library: DFT_QCI_thermo
-C4H7(156) C 4H 7 G 100.000 5000.000 959.24 1
- 9.15900791E+00 1.76137069E-02-5.93412855E-06 1.07300071E-09-7.76276457E-14 2
- 1.24900957E+04-2.37825759E+01 2.71573512E+00 1.74370364E-02 3.66329505E-05 3
--5.79025427E-08 2.29528333E-11 1.49704918E+04 1.35200268E+01 4
-
-! Thermo library: DFT_QCI_thermo
-C4H8(157) C 4H 8 G 100.000 5000.000 1061.32 1
- 6.48662707E+00 2.49945576E-02-9.83292552E-06 1.79345487E-09-1.24010033E-13 2
--5.62447990E+03-1.00310762E+01 2.52506663E+00 2.64750580E-02 7.08434400E-06 3
--2.07740871E-08 8.00468445E-12-4.02607212E+03 1.28856593E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) +
-! radical(Tertalkyl)
-C[C]1CC1(158) C 4H 7 G 100.000 5000.000 1002.20 1
- 5.32395695E+00 2.34978834E-02-9.10174422E-06 1.68911624E-09-1.19703327E-13 2
- 2.19497318E+04-2.76294733E+00 3.11404018E+00 1.12054114E-02 4.08960921E-05 3
--5.25897787E-08 1.86637438E-11 2.34529734E+04 1.31932739E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(RCCJC)
-C9H15(159) C 9H 15 G 100.000 5000.000 1040.92 1
- 1.37582247E+01 5.26150125E-02-2.09344106E-05 3.87939848E-09-2.72309480E-13 2
- 7.09348987E+03-4.21227684E+01 1.80278965E-01 6.73693055E-02 1.17306473E-05 3
--5.15786450E-08 2.13420223E-11 1.19476047E+04 3.36659908E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs)
-! + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C6H9(160) C 6H 9 G 100.000 5000.000 974.14 1
- 1.16266301E+01 2.76565377E-02-1.01259880E-05 1.93056321E-09-1.43342141E-13 2
- 9.24692046E+03-4.06899503E+01 2.32236037E+00 1.78606161E-02 7.88707001E-05 3
--1.09558747E-07 4.14503650E-11 1.33371803E+04 1.56439283E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ)
-C6H9(161) C 6H 9 G 100.000 5000.000 965.68 1
- 1.28510967E+01 2.59262393E-02-8.99807593E-06 1.59780591E-09-1.12282111E-13 2
- 1.31756193E+04-4.12583548E+01 1.45422324E+00 4.38205961E-02 8.73921362E-06 3
--4.20813869E-08 1.93334356E-11 1.67435503E+04 2.04037692E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C8H11L2(162) C 8H 11 G 100.000 5000.000 1478.21 1
- 7.37799475E+01 1.99566953E-01-8.23314320E-05 1.49904033E-08-1.01829018E-12 2
--3.89933269E+04-3.19941328E+02-1.80334698E+01 4.48011909E-01-3.34438768E-04 3
- 1.28689827E-07-2.02475387E-11-1.18494356E+04 1.58888912E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH)
-C6H10(163) C 6H 10 G 100.000 5000.000 1029.51 1
- 1.11942090E+01 3.14218941E-02-1.24028523E-05 2.30466309E-09-1.62630970E-13 2
- 4.43828914E+03-3.01755166E+01 1.48891665E+00 4.41328285E-02 5.49889700E-06 3
--3.28729863E-08 1.41070320E-11 7.76134868E+03 2.33629305E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C8H12L(164) C 8H 12 G 100.000 5000.000 1531.10 1
- 4.61267961E+01 1.19097479E-01-4.90892540E-05 8.91035115E-09-6.02990470E-13 2
--1.39040554E+04-1.94195117E+02-9.01284110E+00 2.63148592E-01-1.90213163E-04 3
- 7.03575459E-08-1.06360824E-11 2.98094898E+03 9.53109683E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H8R2(165) C 6H 8 G 100.000 5000.000 1502.08 1
- 7.12740132E+01 1.87187010E-01-7.74933957E-05 1.41231769E-08-9.59129156E-13 2
--4.71832447E+04-3.07718612E+02-1.67989488E+01 4.21724249E-01-3.11707089E-04 3
- 1.18074552E-07-1.82604580E-11-2.07248566E+04 1.53014613E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H14L(166) C 9H 14 G 100.000 5000.000 1346.86 1
- 3.81588751E+01 1.41159135E-01-6.02969218E-05 1.12042373E-08-7.72211401E-13 2
--9.46958843E+03-1.44898021E+02-9.04223204E+00 2.81341094E-01-2.16418642E-04 3
- 8.84815507E-08-1.51162673E-11 3.24499792E+03 9.68751306E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C10H14L(167) C 10H 14 G 100.000 5000.000 1495.48 1
- 5.23728251E+01 1.22393618E-01-4.96909462E-05 8.97610017E-09-6.06868933E-13 2
--9.38456711E+03-2.25634258E+02-1.05880117E+01 2.90797539E-01-2.18604763E-04 3
- 8.42762141E-08-1.31948870E-11 9.44666646E+03 1.03453461E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C11H16L(168) C 11H 16 G 100.000 5000.000 1485.10 1
- 5.34727415E+01 1.29375538E-01-5.20486529E-05 9.35892331E-09-6.31279682E-13 2
--1.46639480E+04-2.30623905E+02-1.12291342E+01 3.03646897E-01-2.28070443E-04 3
- 8.83766131E-08-1.39331740E-11 4.55358837E+03 1.07112955E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C6H10L(169) C 6H 10 G 100.000 5000.000 1529.80 1
- 4.04911446E+01 1.13439112E-01-4.63703563E-05 8.37545777E-09-5.65100569E-13 2
--2.36792728E+04-1.69051442E+02-7.78696588E+00 2.39672865E-01-1.70145087E-04 3
- 6.23148402E-08-9.37987528E-12-8.90809851E+03 8.43873572E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C6H9L2(170) C 6H 9 G 100.000 5000.000 1384.90 1
- 5.81897623E+01 2.11762078E-01-9.07943772E-05 1.68826818E-08-1.16289105E-12 2
--3.36614265E+04-2.32619321E+02-1.58327151E+01 4.25560444E-01-3.22361241E-04 3
- 1.28354717E-07-2.12856124E-11-1.31586424E+04 1.48600268E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C6H10R(171) C 6H 10 G 100.000 5000.000 1573.62 1
- 4.76628260E+01 1.02575251E-01-4.08270920E-05 7.26974016E-09-4.85898462E-13 2
--2.23936871E+04-2.06105035E+02-8.61089455E+00 2.45617513E-01-1.77176852E-04 3
- 6.50343534E-08-9.66289627E-12-4.68294027E+03 9.08966228E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) +
-! group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-
-! CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-
-! Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclobutane) + radical(Cs_S)
-C7H11LR(172) C 7H 11 G 100.000 5000.000 1646.35 1
- 9.30363898E+01 1.68591445E-01-6.71528082E-05 1.19222893E-08-7.92916565E-13 2
--5.11707860E+04-4.38129888E+02-1.93002260E+01 4.41526810E-01-3.15826337E-04 3
- 1.12619348E-07-1.60838951E-11-1.41817641E+04 1.59835801E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH)
-C5H8(173) C 5H 8 G 100.000 5000.000 972.32 1
- 1.12869585E+01 2.12415356E-02-7.50356283E-06 1.36179013E-09-9.72223411E-14 2
- 3.98422876E+03-3.40141560E+01 2.00726044E+00 3.28460799E-02 1.55848957E-05 3
--4.25736996E-08 1.84255692E-11 7.04482003E+03 1.69534228E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + radical(C=CC=CCJ)
-C5H7(174) C 5H 7 G 100.000 5000.000 942.06 1
- 1.19107369E+01 1.73602909E-02-5.09246041E-06 8.77863236E-10-6.40277816E-14 2
- 1.78996358E+04-3.71210253E+01 2.29865578E+00 2.38040922E-02 3.93719563E-05 3
--6.93151290E-08 2.88406859E-11 2.12357622E+04 1.67724689E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + radical(Allyl_S)
-C9H12L(175) C 9H 12 G 100.000 5000.000 1545.38 1
- 5.38832749E+01 1.10095545E-01-4.38028868E-05 7.81603886E-09-5.23813983E-13 2
--5.85150672E+03-2.35600362E+02-1.02156849E+01 2.76003541E-01-2.04835901E-04 3
- 7.72832730E-08-1.17614862E-11 1.39603251E+04 1.01541645E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C8H12L(176) C 8H 12 G 100.000 5000.000 1405.78 1
- 3.93426893E+01 1.29195310E-01-5.45170272E-05 1.00559132E-08-6.89304960E-13 2
--5.71470167E+03-1.52867099E+02-8.55842178E+00 2.65493527E-01-1.99951056E-04 3
- 7.90257778E-08-1.29547689E-11 7.75292237E+03 9.45426066E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H14R(177) C 9H 14 G 100.000 5000.000 1391.21 1
- 4.01789833E+01 1.37697249E-01-5.83609214E-05 1.07914600E-08-7.40975973E-13 2
--8.80837504E+03-1.55336318E+02-9.13267484E+00 2.79476736E-01-2.11226062E-04 3
- 8.40437158E-08-1.39042770E-11 4.91231015E+03 9.88457471E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! ring(Cyclopentene) + radical(cyclopentene-allyl)
-C5H7(178) C 5H 7 G 100.000 5000.000 958.30 1
- 1.06732302E+01 1.91104672E-02-6.23089372E-06 1.21294384E-09-9.52704457E-14 2
- 1.41532644E+04-3.66338422E+01 3.16106503E+00-2.07890212E-03 1.09184979E-04 3
--1.36298100E-07 5.07057388E-11 1.80057603E+04 1.18765966E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene)
-C10H14(179) C 10H 14 G 100.000 5000.000 972.12 1
- 2.20868855E+01 3.98902881E-02-1.41372886E-05 2.64619696E-09-1.94952149E-13 2
- 7.35957837E+03-8.86137827E+01-1.59646304E-01 6.38821858E-02 5.30682558E-05 3
--1.14919047E-07 4.84209597E-11 1.48764526E+04 3.44995922E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! ring(Cyclopentene)
-C5H8(180) C 5H 8 G 100.000 5000.000 960.77 1
- 1.06215433E+01 2.16107521E-02-7.25561897E-06 1.38983131E-09-1.06499697E-13 2
--1.09380084E+03-3.50384683E+01 2.95818807E+00 3.20109787E-03 1.00039791E-04 3
--1.27568149E-07 4.76324834E-11 2.70097652E+03 1.37113449E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_T)
-C11H17(181) C 11H 17 G 100.000 5000.000 1074.31 1
- 2.04738219E+01 5.58913309E-02-2.18913713E-05 3.98483210E-09-2.75549478E-13 2
- 1.24695255E+04-7.41964773E+01-1.69371394E+00 1.08333563E-01-5.30938552E-05 3
--2.72802028E-09 7.35462461E-12 1.89691467E+04 4.24207115E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH)
-! + group(Cds-CdsHH) + radical(Allyl_T)
-C10H14L(182) C 10H 14 G 100.000 5000.000 1532.83 1
- 5.49223871E+01 1.17159067E-01-4.61994520E-05 8.20671745E-09-5.48797917E-13 2
--1.10969149E+04-2.40232162E+02-1.08510352E+01 2.88798516E-01-2.14163003E-04 3
- 8.12584412E-08-1.24633345E-11 9.06694894E+03 1.05179340E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_S)
-C10H15(183) C 10H 15 G 100.000 5000.000 1079.64 1
- 1.93359625E+01 4.89443854E-02-1.95427490E-05 3.60236890E-09-2.51062956E-13 2
- 1.77761363E+04-6.89724375E+01-1.07445511E+00 9.57406104E-02-4.45140052E-05 3
--5.70544316E-09 7.63002290E-12 2.38631730E+04 3.88397078E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C10H14(184) C 10H 14 G 100.000 5000.000 991.15 1
- 2.28371427E+01 3.95055042E-02-1.44797191E-05 2.64412625E-09-1.87708856E-13 2
- 1.34606628E+04-8.79939244E+01-1.11259971E+00 9.32509010E-02-3.08798907E-05 3
--3.00029397E-08 1.90639046E-11 2.03158745E+04 3.79691757E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + radical(Allyl_P)
-C9H12L(185) C 9H 12 G 100.000 5000.000 1522.23 1
- 5.57700469E+01 1.06918468E-01-4.18891200E-05 7.42887524E-09-4.96754006E-13 2
--6.07889558E+03-2.47026464E+02-1.06159955E+01 2.81365287E-01-2.13790988E-04 3
- 8.27151171E-08-1.28614064E-11 1.41317642E+04 1.01140659E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclopentene) +
-! ring(Cyclopentene)
-C10H14(186) C 10H 14 G 100.000 5000.000 964.35 1
- 2.14267523E+01 4.01236006E-02-1.37082318E-05 2.62792929E-09-2.00516234E-13 2
- 1.22003850E+03-9.11284167E+01 7.78174326E-01 3.46897031E-02 1.36417141E-04 3
--1.99096081E-07 7.74851599E-11 9.43768200E+03 2.96980761E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + ring(Cyclopentadiene)
-C5H6(187) C 5H 6 G 100.000 5000.000 948.18 1
- 1.23881847E+01 1.33340944E-02-3.50190977E-06 6.76618448E-10-5.69827255E-14 2
- 1.06911695E+04-4.47929654E+01 2.99614574E+00 2.16863044E-03 9.45058637E-05 3
--1.24723397E-07 4.79009709E-11 1.47552013E+04 1.20571415E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C11H18L(188) C 11H 18 G 100.000 5000.000 1394.00 1
- 4.42329071E+01 1.50531351E-01-6.35699098E-05 1.17335011E-08-8.04827720E-13 2
--1.62996673E+04-1.74277896E+02-1.05039558E+01 3.07597518E-01-2.32581565E-04 3
- 9.25626765E-08-1.53009188E-11-1.03922413E+03 1.07977474E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(1,3-cyclopentadiene-allyl)
-C5H5(189) C 5H 5 G 100.000 5000.000 1071.07 1
- 7.36867927E+00 1.95181731E-02-7.32840065E-06 1.29022848E-09-8.70708319E-14 2
- 2.94179776E+04-1.82002343E+01 2.41059785E+00 3.07885943E-02-1.29644745E-05 3
--1.51805464E-09 2.04273365E-12 3.08956891E+04 8.00027680E+00 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! radical(Allyl_T)
-C9H14L(190) C 9H 14 G 100.000 5000.000 1516.70 1
- 4.71381127E+01 1.26211669E-01-5.15162638E-05 9.30841048E-09-6.28597328E-13 2
--1.91392614E+04-1.98673086E+02-9.65299460E+00 2.75986383E-01-1.99641115E-04 3
- 7.44164829E-08-1.13604084E-11-1.91216193E+03 9.89670513E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(RCCJC)
-C8H13(191) C 8H 13 G 100.000 5000.000 1203.34 1
- 1.47464804E+01 4.17814878E-02-1.63337603E-05 2.92047258E-09-1.97661588E-13 2
- 1.75575661E+04-4.35427658E+01-3.29354712E-02 7.78496654E-02-4.50142917E-05 3
- 9.79072269E-09 2.48796526E-13 2.20600397E+04 3.44238901E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C12H20R(192) C 12H 20 G 100.000 5000.000 1381.69 1
- 4.50779530E+01 1.59022181E-01-6.74088651E-05 1.24681241E-08-8.56436772E-13 2
--1.93984235E+04-1.76799052E+02-1.10801269E+01 3.21599383E-01-2.43906264E-04 3
- 9.76278891E-08-1.62649901E-11-3.87974119E+03 1.12287800E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! radical(Allyl_S)
-C7H12L(193) C 7H 12 G 100.000 5000.000 1609.53 1
- 4.93334794E+01 1.09630835E-01-4.38911312E-05 7.82021827E-09-5.22006233E-13 2
--2.71572047E+04-2.15467826E+02-9.03961191E+00 2.54697089E-01-1.79083248E-04 3
- 6.38158079E-08-9.21936817E-12-8.36624432E+03 9.39317844E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H12(194) C 8H 12 G 100.000 5000.000 1005.34 1
- 1.70020967E+01 3.54849559E-02-1.34528013E-05 2.47698827E-09-1.75377216E-13 2
- 8.95578776E+03-5.83139705E+01 1.86691312E-01 6.87130409E-02-1.27840820E-05 3
--3.12859442E-08 1.65061512E-11 1.40386716E+04 3.13642191E+01 4
-
-! Thermo library: DFT_QCI_thermo
-[CH2]CC(195) C 3H 7 G 100.000 5000.000 984.47 1
- 6.16546759E+00 1.84494011E-02-6.79026009E-06 1.23048391E-09-8.63859567E-14 2
- 9.09504607E+03-6.67625398E+00 3.02814630E+00 1.47024434E-02 2.40505868E-05 3
--3.66733206E-08 1.38609152E-11 1.05120551E+04 1.24699044E+01 4
-
-! Thermo library: DFT_QCI_thermo
-C2H4(196) C 2H 4 G 100.000 5000.000 946.00 1
- 4.59009997E+00 8.72743880E-03-2.66505596E-06 4.81739733E-10-3.60714734E-14 2
- 4.12706951E+03-3.32389917E+00 3.98879754E+00-6.74758829E-03 5.04415006E-05 3
--5.70767559E-08 2.04955418E-11 5.04704590E+03 3.80480675E+00 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclobutane) + radical(Allyl_P)
-C8H13(197) C 8H 13 G 100.000 5000.000 970.69 1
- 1.79004739E+01 3.66915753E-02-1.30521082E-05 2.44964497E-09-1.80786258E-13 2
- 1.41614140E+04-6.84661489E+01 8.41225687E-01 4.41142146E-02 7.26376883E-05 3
--1.23130972E-07 4.93483604E-11 2.04354146E+04 2.85853573E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs)
-! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJ)
-C8H13(198) C 8H 13 G 100.000 5000.000 1323.84 1
- 1.18028230E+01 4.82583544E-02-2.05920925E-05 3.81959521E-09-2.62864352E-13 2
- 2.08430806E+04-2.83011781E+01 2.64796049E-01 8.31206263E-02-6.00933655E-05 3
- 2.37118485E-08-4.01940538E-12 2.38979834E+04 3.05999805E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C7H12R(199) C 7H 12 G 100.000 5000.000 1508.93 1
- 4.12147126E+01 1.22076722E-01-5.02711133E-05 9.12095015E-09-6.17388426E-13 2
--2.67041835E+04-1.70846107E+02-8.33790987E+00 2.53435095E-01-1.80852159E-04 3
- 6.68135362E-08-1.01759191E-11-1.17499032E+04 8.86026158E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C10H14(200) C 10H 14 G 100.000 5000.000 1151.30 1
- 2.04738303E+01 4.43034588E-02-1.74184670E-05 3.15355505E-09-2.16221303E-13 2
- 1.65347593E+04-7.48294431E+01-1.29786777E+00 1.02344781E-01-7.01072277E-05 3
- 2.03843754E-08-1.07434344E-12 2.27143887E+04 3.83398029E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene)
-C10H12(201) C 10H 12 G 100.000 5000.000 982.78 1
- 2.15240451E+01 3.64079696E-02-1.33173593E-05 2.47810081E-09-1.79646187E-13 2
- 1.99552708E+04-8.64223784E+01-3.77908067E-01 7.47113570E-02 5.81616360E-06 3
--6.31376451E-08 2.99014141E-11 2.67154150E+04 3.13524570E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene) +
-! radical(cyclopentene-allyl)
-C10H13(202) C 10H 13 G 100.000 5000.000 971.45 1
- 2.19106432E+01 3.78859187E-02-1.34304196E-05 2.53413838E-09-1.88247492E-13 2
- 2.25450285E+04-8.90045123E+01 4.70184308E-02 5.88375953E-02 6.08739210E-05 3
--1.21651888E-07 5.06071242E-11 3.00521460E+04 3.26167221E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! radical(Tertalkyl)
-C5H9L2(203) C 5H 9 G 100.000 5000.000 1409.42 1
- 5.75844383E+01 2.08435925E-01-8.89718527E-05 1.64921748E-08-1.13318181E-12 2
--4.48488899E+04-2.32364986E+02-1.54503176E+01 4.15711933E-01-3.09568931E-04 3
- 1.20836289E-07-1.96415201E-11-2.42615556E+04 1.45049453E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentene)
-C11H16(204) C 11H 16 G 100.000 5000.000 986.99 1
- 2.31244916E+01 4.82952520E-02-1.79518562E-05 3.34493969E-09-2.41467168E-13 2
- 2.41717448E+03-9.31452233E+01-1.01050121E+00 8.39609339E-02 2.22932006E-05 3
--8.76344151E-08 3.89622832E-11 1.02083964E+04 3.83107047E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + radical(Allyl_P)
-C10H14L(205) C 10H 14 G 100.000 5000.000 1476.34 1
- 5.44251374E+01 1.18978602E-01-4.76564111E-05 8.56307280E-09-5.77821952E-13 2
--9.87429303E+03-2.35552087E+02-1.09954465E+01 2.96229182E-01-2.27747482E-04 3
- 8.98862205E-08-1.43488844E-11 9.44232773E+03 1.05550105E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P)
-C7H11LR(206) C 7H 11 G 100.000 5000.000 1484.97 1
- 7.50664540E+01 1.94221644E-01-7.99086287E-05 1.45305482E-08-9.86237083E-13 2
--4.83714428E+04-3.32487493E+02-1.80150560E+01 4.44952338E-01-3.33178107E-04 3
- 1.28234534E-07-2.01287871E-11-2.07269057E+04 1.53380530E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene)
-C8H9R(207) C 8H 9 G 100.000 5000.000 1198.83 1
- 4.47061178E+01 1.11672420E-01-4.55194077E-05 8.36172030E-09-5.76124061E-13 2
--9.80493582E+03-1.90568205E+02-8.83552828E+00 2.45925574E-01-1.57954435E-04 3
- 3.99982700E-08-7.32208697E-13 6.22263468E+03 9.07538764E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Tertalkyl)
-C8H11LR(208) C 8H 11 G 100.000 5000.000 1614.27 1
- 8.32650882E+01 1.83311208E-01-7.28847506E-05 1.29400072E-08-8.61841171E-13 2
--4.48844820E+04-3.77252704E+02-1.84691867E+01 4.35400493E-01-3.07131055E-04 3
- 1.09680566E-07-1.58440449E-11-1.20394122E+04 1.62274396E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-
-! Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-
-! Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! polycyclic(s3_5_5_ane) + radical(2-norbornyl)
-C8H11LR(209) C 8H 11 G 100.000 5000.000 1191.39 1
- 7.19795452E+01 2.02860818E-01-8.41894067E-05 1.56135398E-08-1.08159971E-12 2
--3.85839603E+04-3.23272375E+02-1.77878042E+01 4.15112442E-01-2.39197705E-04 3
- 3.95550000E-08 7.07163500E-12-1.08683546E+04 1.52072138E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentene) +
-! radical(cyclopentene-allyl)
-C10H13(210) C 10H 13 G 100.000 5000.000 1005.32 1
- 1.82322783E+01 4.48183287E-02-1.75591032E-05 3.31769270E-09-2.39068149E-13 2
- 2.62063943E+04-6.90631811E+01-7.92240758E-03 6.65148994E-02 2.59810146E-05 3
--7.58957436E-08 3.19778728E-11 3.24449079E+04 3.18192755E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentene)
-C11H16(211) C 11H 16 G 100.000 5000.000 983.65 1
- 2.55496927E+01 4.55136981E-02-1.69673527E-05 3.23596636E-09-2.39032555E-13 2
- 2.16121353E+03-1.08210302E+02-1.00478053E+00 7.92758375E-02 4.47307763E-05 3
--1.15289870E-07 4.93813471E-11 1.09759584E+04 3.77138148E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclohexene) + radical(Cs_S)
-C7H9LR(212) C 7H 9 G 100.000 5000.000 1649.95 1
- 8.69707212E+01 1.70295215E-01-6.75455990E-05 1.19555254E-08-7.93532660E-13 2
--4.44419389E+04-4.03487615E+02-1.83133668E+01 4.25536131E-01-2.99588944E-04 3
- 1.05712896E-07-1.49995713E-11-9.69911045E+03 1.57168130E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C8H11R(213) C 8H 11 G 100.000 5000.000 1541.66 1
- 5.19868002E+01 1.05673024E-01-4.18410630E-05 7.45100594E-09-4.98891682E-13 2
--1.91924927E+04-2.25764301E+02-9.70598873E+00 2.65741126E-01-1.97583317E-04 3
- 7.47991446E-08-1.14202337E-11-1.70588140E+02 9.85722104E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! radical(Allyl_S)
-C8H14R(214) C 8H 14 G 100.000 5000.000 1588.81 1
- 4.99988084E+01 1.18319505E-01-4.78035624E-05 8.56563715E-09-5.74122209E-13 2
--3.01385541E+04-2.16899802E+02-9.57277671E+00 2.68297691E-01-1.89398688E-04 3
- 6.79792542E-08-9.92290243E-12-1.12090078E+04 9.80793040E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) +
-! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_5_ane) +
-! radical(2-norbornyl)
-C7H9LR(215) C 7H 9 G 100.000 5000.000 1210.88 1
- 6.87933891E+01 1.97123553E-01-8.14140762E-05 1.50252134E-08-1.03644816E-12 2
--3.32171015E+04-3.05464744E+02-1.69802717E+01 4.00599868E-01-2.34536886E-04 3
- 4.48574793E-08 4.05069644E-12-6.58965220E+03 1.48933385E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C8H13R2(216) C 8H 13 G 100.000 5000.000 1357.94 1
- 5.79653114E+01 2.31776676E-01-1.00163630E-04 1.87032561E-08-1.29191566E-12 2
--4.06222361E+04-2.27427518E+02-1.67799832E+01 4.51948211E-01-3.43367090E-04 3
- 1.38100915E-07-2.32732039E-11-2.03222130E+04 1.56045414E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclopentane) + radical(Cs_S)
-C7H9LR(217) C 7H 9 G 100.000 5000.000 1231.33 1
- 7.18406956E+01 1.90679269E-01-7.75570670E-05 1.41826528E-08-9.72489773E-13 2
--3.42030523E+04-3.12431650E+02-1.75415672E+01 4.12909522E-01-2.65281881E-04 3
- 7.08857194E-08-3.36185704E-12-7.02638292E+03 1.58358714E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Allyl_S)
-C7H9LR(218) C 7H 9 G 100.000 5000.000 1505.57 1
- 7.31595925E+01 1.91621995E-01-7.94601354E-05 1.44890057E-08-9.84095914E-13 2
--3.38353104E+04-3.17488975E+02-1.73064689E+01 4.31966551E-01-3.18909761E-04 3
- 1.20514795E-07-1.85892625E-11-6.59405836E+03 1.55975790E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + radical(Allyl_P)
-C3H4L(219) C 3H 4 G 100.000 5000.000 1617.17 1
- 4.26862363E+01 8.16269168E-02-3.20789189E-05 5.66174589E-09-3.75757549E-13 2
--1.11768129E+04-1.85074950E+02-6.66621560E+00 2.03694766E-01-1.45299431E-04 3
- 5.23348216E-08-7.59080173E-12 4.78588016E+03 7.67460619E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C4H5R(220) C 4H 5 G 100.000 5000.000 1202.61 1
- 3.92568879E+01 9.24026354E-02-3.70827523E-05 6.75722158E-09-4.63497728E-13 2
--1.64497691E+04-1.62808037E+02-7.05652185E+00 2.12585949E-01-1.44752777E-04 3
- 4.30319946E-08-3.13736874E-12-2.86188191E+03 7.93519034E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(RCCJ)
-C7H9(221) C 7H 9 G 100.000 5000.000 993.43 1
- 1.35440410E+01 2.91177540E-02-1.10809479E-05 2.07600747E-09-1.49609949E-13 2
- 2.84448207E+04-4.58600381E+01 1.37492223E+00 4.29835310E-02 2.10300852E-05 3
--5.50715079E-08 2.31902242E-11 3.25962853E+04 2.14941760E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + radical(Allyl_S)
-C9H12R(222) C 9H 12 G 100.000 5000.000 1545.38 1
- 5.38832749E+01 1.10095545E-01-4.38028868E-05 7.81603886E-09-5.23813983E-13 2
--5.85150672E+03-2.35600362E+02-1.02156849E+01 2.76003541E-01-2.04835901E-04 3
- 7.72832730E-08-1.17614862E-11 1.39603251E+04 1.01541645E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Tertalkyl)
-C9H15(223) C 9H 15 G 100.000 5000.000 1508.70 1
- 1.57027514E+01 5.06794893E-02-2.07409670E-05 3.74788481E-09-2.52993950E-13 2
- 1.25675563E+04-4.89739041E+01-4.39444155E-01 9.34773697E-02-6.32923016E-05 3
- 2.25506444E-08-3.36873436E-12 1.74382737E+04 3.55412145E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_P)
-C4H6R(224) C 4H 6 G 100.000 5000.000 1552.31 1
- 4.27061368E+01 9.14705482E-02-3.65819635E-05 6.53853638E-09-4.38400679E-13 2
--1.39317228E+04-1.82970947E+02-7.25476491E+00 2.20210371E-01-1.60983807E-04 3
- 5.99652187E-08-9.04280607E-12 1.57919926E+03 8.00314101E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsHH) + ring(Cyclopropane) + radical(Tertalkyl)
-RC[C]1CC1(225) C 4H 6 G 100.000 5000.000 1653.47 1
- 4.06842891E+01 9.37896347E-02-3.77660283E-05 6.73109869E-09-4.48533682E-13 2
--5.05887061E+03-1.72328916E+02-6.57312693E+00 2.08111969E-01-1.41476704E-04 3
- 4.85462165E-08-6.77082427E-12 1.05689654E+04 7.94257031E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(Cyclopentene) + radical(cyclopentene-allyl)
-C11H15(226) C 11H 15 G 100.000 5000.000 1034.15 1
- 1.94979866E+01 5.28497533E-02-2.11640770E-05 3.96791990E-09-2.81620650E-13 2
- 2.11634009E+04-7.48878365E+01-8.75537271E-01 8.67644715E-02-5.24765899E-06 3
--4.82647798E-08 2.24918257E-11 2.77775928E+04 3.56921059E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + radical(Tertalkyl)
-C9H14R(227) C 9H 14 G 100.000 5000.000 1421.10 1
- 4.25605212E+01 1.33533286E-01-5.58878675E-05 1.02641603E-08-7.01654889E-13 2
--1.05173117E+04-1.70038167E+02-9.35993254E+00 2.79673538E-01-2.10140467E-04 3
- 8.26265021E-08-1.34315259E-11 4.23965489E+03 9.86949537E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C9H13LR(228) C 9H 13 G 100.000 5000.000 1468.82 1
- 7.45842925E+01 2.08093510E-01-8.61781085E-05 1.57247374E-08-1.06974866E-12 2
--4.20622486E+04-3.22209415E+02-1.85910238E+01 4.61837432E-01-3.45310492E-04 3
- 1.33340415E-07-2.10886392E-11-1.46909067E+04 1.63129027E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentene)
-C11H16(229) C 11H 16 G 100.000 5000.000 986.99 1
- 2.31244916E+01 4.82952520E-02-1.79518562E-05 3.34493969E-09-2.41467168E-13 2
- 2.41717448E+03-9.31452233E+01-1.01050121E+00 8.39609339E-02 2.22932006E-05 3
--8.76344151E-08 3.89622832E-11 1.02083964E+04 3.83107047E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
-C7H10L(230) C 7H 10 G 100.000 5000.000 1459.75 1
- 3.99238723E+01 1.18165392E-01-4.91150457E-05 8.97665349E-09-6.11257797E-13 2
--2.03944754E+03-1.57409076E+02-8.05509303E+00 2.49637492E-01-1.84212632E-04 3
- 7.06757867E-08-1.11780168E-11 1.19679722E+04 9.22103355E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + ring(Cyclopentene) + radical(RCCJC)
-C9H15(231) C 9H 15 G 100.000 5000.000 1040.92 1
- 1.37582247E+01 5.26150125E-02-2.09344106E-05 3.87939848E-09-2.72309480E-13 2
- 7.09348987E+03-4.21227684E+01 1.80278965E-01 6.73693055E-02 1.17306473E-05 3
--5.15786450E-08 2.13420223E-11 1.19476047E+04 3.36659908E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C10H16R(232) C 10H 16 G 100.000 5000.000 1334.82 1
- 3.90325964E+01 1.49615802E-01-6.41219064E-05 1.19365148E-08-8.23683819E-13 2
--1.25857860E+04-1.47590922E+02-9.62729428E+00 2.95429897E-01-2.27976701E-04 3
- 9.37709861E-08-1.61502433E-11 4.04919502E+02 1.01218725E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(Cyclopentene) + radical(cyclopentene-allyl)
-C11H15(233) C 11H 15 G 100.000 5000.000 1034.15 1
- 1.94979866E+01 5.28497533E-02-2.11640770E-05 3.96791990E-09-2.81620650E-13 2
- 2.11634009E+04-7.48878365E+01-8.75537271E-01 8.67644715E-02-5.24765899E-06 3
--4.82647798E-08 2.24918257E-11 2.77775928E+04 3.56921059E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentene) + radical(cyclopentene-allyl)
-C11H15(234) C 11H 15 G 100.000 5000.000 983.43 1
- 2.31441610E+01 4.58485990E-02-1.69577291E-05 3.17522341E-09-2.30829202E-13 2
- 1.76779576E+04-9.45598496E+01-8.03031207E-01 7.86283442E-02 3.16122200E-05 3
--9.65697314E-08 4.21119308E-11 2.55129822E+04 3.64594036E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(Allyl_P)
-C10H15(235) C 10H 15 G 100.000 5000.000 1007.01 1
- 2.18354351E+01 4.45130955E-02-1.68553175E-05 3.09441436E-09-2.18574822E-13 2
- 1.74361725E+04-8.12083753E+01-1.16651525E+00 9.46349386E-02-3.00777339E-05 3
--2.88245154E-08 1.78028646E-11 2.41601180E+04 4.03071171E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C8H11LR(236) C 8H 11 G 100.000 5000.000 1475.56 1
- 7.34830030E+01 2.01108328E-01-8.38164043E-05 1.53406277E-08-1.04521092E-12 2
--3.67801045E+04-3.17207986E+02-1.79466331E+01 4.48957900E-01-3.35770038E-04 3
- 1.29174251E-07-2.03316371E-11-9.79800152E+03 1.59457128E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C7H12L(237) C 7H 12 G 100.000 5000.000 1348.27 1
- 3.12032728E+01 1.38955899E-01-6.02821225E-05 1.12700371E-08-7.78819940E-13 2
--1.36486786E+04-1.09385584E+02-7.46946416E+00 2.53688904E-01-1.87926913E-04 3
- 7.43854321E-08-1.24818624E-11-3.22042852E+03 8.87442626E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! radical(Allyl_S)
-C11H17(238) C 11H 17 G 100.000 5000.000 1601.22 1
- 2.58296171E+01 4.89505089E-02-1.88549533E-05 3.29396763E-09-2.17445693E-13 2
- 1.02204423E+04-1.04823022E+02-2.24033978E+00 1.19072815E-01-8.45453536E-05 3
- 3.06444573E-08-4.48775734E-12 1.92095645E+04 4.38123180E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(C=CC=CCJ)
-C6H7(239) C 6H 7 G 100.000 5000.000 945.84 1
- 1.39615853E+01 1.80037462E-02-4.98802905E-06 9.10700721E-10-7.18851864E-14 2
- 1.97023215E+04-5.05474316E+01 2.44368214E+00 1.31336789E-02 8.77078073E-05 3
--1.24317625E-07 4.88585122E-11 2.42777815E+04 1.70478845E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C10H13R(240) C 10H 13 G 100.000 5000.000 1129.34 1
- 4.80826422E+01 1.25166735E-01-5.08110025E-05 9.38778712E-09-6.52305763E-13 2
--1.69257718E+04-2.05228101E+02-1.00587790E+01 2.68075938E-01-1.56919265E-04 3
- 2.26130547E-08 7.35822846E-12 2.25444979E+02 1.00135796E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Tertalkyl)
-C9H12L(241) C 9H 12 G 100.000 5000.000 1585.67 1
- 4.99702282E+01 1.16602570E-01-4.73050723E-05 8.49701885E-09-5.70415400E-13 2
--8.00990299E+03-2.16206767E+02-9.47579564E+00 2.66559147E-01-1.89158387E-04 3
- 6.81361000E-08-9.97313892E-12 1.08426467E+04 9.79915826E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + radical(RCCJ)
-C8H11(242) C 8H 11 G 100.000 5000.000 1058.34 1
- 1.21374770E+01 4.12304551E-02-1.68726170E-05 3.16819649E-09-2.23669066E-13 2
- 2.77409347E+04-3.53361171E+01 9.56625345E-01 5.35420592E-02 8.12136674E-06 3
--3.93116763E-08 1.61263477E-11 3.17846965E+04 2.71624018E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_S)
-C10H12L(243) C 10H 12 G 100.000 5000.000 1130.09 1
- 4.77019309E+01 1.23395173E-01-5.04768003E-05 9.36410953E-09-6.52167136E-13 2
--1.01110988E+02-2.02457405E+02-9.82525317E+00 2.62964078E-01-1.50713493E-04 3
- 1.83423061E-08 8.45680674E-12 1.69910304E+04 1.00209205E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-
-! Cds)HH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(3-Methylenecyclopentene)
-C12H14(244) C 12H 14 G 100.000 5000.000 991.82 1
- 2.14489720E+01 5.00244347E-02-1.91857302E-05 3.64421390E-09-2.65770637E-13 2
- 2.17817430E+04-8.75855162E+01-4.66828760E-01 6.98297806E-02 5.45802390E-05 3
--1.15654493E-07 4.73774604E-11 2.95022450E+04 3.49705697E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) +
-! radical(Allyl_T)
-C9H12L(245) C 9H 12 G 100.000 5000.000 1058.02 1
- 4.28673284E+01 1.27051223E-01-5.20623799E-05 9.81388954E-09-6.95725953E-13 2
--1.37513332E+04-1.91001987E+02-8.23038441E+00 2.21755175E-01-4.67120521E-05 3
--8.15300267E-08 4.16749176E-11 2.57305483E+03 8.44449446E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + ring(3-Methylenecyclopentene)
-C11H14(246) C 11H 14 G 100.000 5000.000 972.27 1
- 2.44757193E+01 4.05124264E-02-1.42801628E-05 2.65454281E-09-1.94614739E-13 2
- 1.58535737E+04-1.00732706E+02-7.92415718E-01 7.78718470E-02 3.08257458E-05 3
--9.87231991E-08 4.39874618E-11 2.39147263E+04 3.66480838E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) +
-! radical(Tertalkyl)
-C10H14R(247) C 10H 14 G 100.000 5000.000 1566.31 1
- 5.06530904E+01 1.25276353E-01-5.12144011E-05 9.24257265E-09-6.22593104E-13 2
--1.10046205E+04-2.17748327E+02-1.00141155E+01 2.80206171E-01-1.99584811E-04 3
- 7.23931119E-08-1.07020724E-11 8.00016460E+03 1.02158790E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_T)
-C11H14L(248) C 11H 14 G 100.000 5000.000 1127.86 1
- 4.88667804E+01 1.30295180E-01-5.27979702E-05 9.74002742E-09-6.76107255E-13 2
--5.41867857E+03-2.07832706E+02-1.04534754E+01 2.75663320E-01-1.59665821E-04 3
- 2.18000398E-08 7.97932975E-12 1.20973896E+04 1.03822300E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H12L(249) C 10H 12 G 100.000 5000.000 1060.88 1
- 4.25509224E+01 1.30055873E-01-5.29997522E-05 9.94139808E-09-7.02123682E-13 2
--8.54507959E+02-1.84121046E+02-8.42457175E+00 2.26839404E-01-5.49303628E-05 3
--7.36270764E-08 3.89703434E-11 1.53306672E+04 9.01252889E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H14R(250) C 10H 14 G 100.000 5000.000 1069.24 1
- 4.46028017E+01 1.34106433E-01-5.51051768E-05 1.03658515E-08-7.32518202E-13 2
--1.72518812E+04-1.98590015E+02-8.98749567E+00 2.37807107E-01-6.48140862E-05 3
--6.82327553E-08 3.74374021E-11-2.59476157E+02 8.94099482E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + ring(4-Methylenecyclopentene)
-C11H14(251) C 11H 14 G 100.000 5000.000 1023.00 1
- 1.99684220E+01 4.87586866E-02-1.92400464E-05 3.60017655E-09-2.56118703E-13 2
- 1.93191749E+04-7.50494494E+01-7.97487089E-01 8.53122404E-02-7.37905464E-06 3
--4.67874619E-08 2.24823708E-11 2.59038579E+04 3.70235793E+01 4
-
-! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)(Cds-Cds)) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Fulvene)
-C6H6(252) C 6H 6 G 100.000 5000.000 949.88 1
- 1.38824352E+01 1.47777411E-02-4.11982562E-06 7.77620605E-10-6.28633473E-14 2
- 2.10172690E+04-5.21584472E+01 2.47058465E+00 1.46010235E-02 7.23252049E-05 3
--1.06330978E-07 4.21962685E-11 2.53612118E+04 1.37641969E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + radical(Tertalkyl)
-C9H15L2(253) C 9H 15 G 100.000 5000.000 1371.79 1
- 6.15839972E+01 2.35319817E-01-1.01042532E-04 1.88052981E-08-1.29629506E-12 2
--4.58363500E+04-2.46079887E+02-1.76138361E+01 4.66252908E-01-3.53559347E-04 3
- 1.41524331E-07-2.36610842E-11-2.41078164E+04 1.61039523E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(3-Methylenecyclopentene)
-C12H14(254) C 12H 14 G 100.000 5000.000 964.25 1
- 2.61960980E+01 4.13821509E-02-1.40022621E-05 2.64658603E-09-2.00004942E-13 2
- 1.82114885E+04-1.15319487E+02-4.85081099E-01 6.26413010E-02 9.20325321E-05 3
--1.66838987E-07 6.86773086E-11 2.75141318E+04 3.39869247E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(4-Methylenecyclopentene)
-C12H14(255) C 12H 14 G 100.000 5000.000 1050.63 1
- 1.71788874E+01 5.78904490E-02-2.39356884E-05 4.54185349E-09-3.23392212E-13 2
- 2.51400023E+04-6.39454702E+01-4.69227944E-01 7.71936512E-02 1.68742584E-05 3
--6.47367234E-08 2.64846964E-11 3.14912970E+04 3.46461219E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_S)
-C11H15(256) C 11H 15 G 100.000 5000.000 1015.97 1
- 2.07550254E+01 5.06239747E-02-2.00203896E-05 3.77006904E-09-2.69943666E-13 2
- 1.98571245E+04-7.95106189E+01-8.63249036E-01 8.43433755E-02 6.07503643E-06 3
--6.31443315E-08 2.84477035E-11 2.69022947E+04 3.81814058E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentadiene)
-C12H14(257) C 12H 14 G 100.000 5000.000 967.18 1
- 2.64898739E+01 4.12183157E-02-1.42117552E-05 2.69589330E-09-2.03178466E-13 2
- 1.76716706E+04-1.14645709E+02-6.39336747E-01 6.71049591E-02 7.95040288E-05 3
--1.54172767E-07 6.41956034E-11 2.69564010E+04 3.62015889E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + group(Cs-
-! CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C11H14L(258) C 11H 14 G 100.000 5000.000 1064.88 1
- 4.62198597E+01 1.35346718E-01-5.56452857E-05 1.04888130E-08-7.42767277E-13 2
--6.14547689E+03-2.04889460E+02-9.27562785E+00 2.42271620E-01-6.32411844E-05 3
--7.42930328E-08 4.01818353E-11 1.14304541E+04 9.33626816E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) +
-! radical(Tertalkyl)
-C12H18L(259) C 12H 18 G 100.000 5000.000 1552.20 1
- 5.45758796E+01 1.38296087E-01-5.65163535E-05 1.02042946E-08-6.87942016E-13 2
--1.84264761E+04-2.35925173E+02-1.13785903E+01 3.08261078E-01-2.20766582E-04 3
- 8.07499014E-08-1.20502153E-11 2.04829148E+03 1.11264993E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(RCCJC)
-C9H13(260) C 9H 13 G 100.000 5000.000 1008.00 1
- 1.48914908E+01 4.51871261E-02-1.74610386E-05 3.23476186E-09-2.29185352E-13 2
- 2.06266696E+04-4.84732636E+01 4.09735063E-01 6.11760167E-02 2.04698948E-05 3
--6.26746187E-08 2.62421061E-11 2.56534225E+04 3.19607747E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentadiene)
-C12H14(261) C 12H 14 G 100.000 5000.000 997.55 1
- 2.17844607E+01 4.97918860E-02-1.93565004E-05 3.68452877E-09-2.68207888E-13 2
- 2.12236777E+04-8.78410843E+01-6.23808642E-01 7.43201069E-02 4.19884129E-05 3
--1.02958061E-07 4.29095181E-11 2.89446344E+04 3.65021778E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C5H7L(262) C 5H 7 G 100.000 5000.000 1521.95 1
- 4.48175631E+01 9.39009837E-02-3.72171621E-05 6.63649133E-09-4.45041680E-13 2
--2.35794385E+04-1.93339581E+02-7.91047806E+00 2.32481960E-01-1.73800230E-04 3
- 6.64649193E-08-1.02726896E-11-7.52963778E+03 8.31878270E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + ring(3-Methylenecyclopentene)
-C9H11R(263) C 9H 11 G 100.000 5000.000 1101.97 1
- 4.50562929E+01 1.19901712E-01-4.87418435E-05 9.05186062E-09-6.32471807E-13 2
--1.27095090E+04-1.90034077E+02-9.08074625E+00 2.47365885E-01-1.28261397E-04 3
- 3.01274273E-10 1.42518512E-11 3.41424716E+03 9.54241997E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C9H11R(264) C 9H 11 G 100.000 5000.000 1681.08 1
- 5.48223230E+01 1.06562012E-01-4.22856140E-05 7.47023973E-09-4.94527145E-13 2
--1.62356093E+04-2.46562688E+02-9.61282294E+00 2.59881652E-01-1.79091264E-04 3
- 6.17237397E-08-8.56284042E-12 5.42834990E+03 9.77691083E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C11H15(265) C 11H 15 G 100.000 5000.000 989.76 1
- 1.74407080E+01 5.43270761E-02-2.09042583E-05 3.97145090E-09-2.89414653E-13 2
- 1.82752716E+04-7.16230322E+01 3.88774946E-01 4.97881063E-02 9.72919839E-05 3
--1.50619880E-07 5.76966581E-11 2.52485606E+04 2.86423224E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_T)
-C12H17(266) C 12H 17 G 100.000 5000.000 1013.67 1
- 2.18847107E+01 5.75873467E-02-2.23794895E-05 4.15517612E-09-2.94659793E-13 2
- 1.45530929E+04-8.46902548E+01-1.47468162E+00 9.68396312E-02-2.14654907E-06 3
--6.06590903E-08 2.83936434E-11 2.20079358E+04 4.17346359E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene)
-C12H16(267) C 12H 16 G 100.000 5000.000 973.93 1
- 2.47896556E+01 4.92569612E-02-1.77262251E-05 3.34919676E-09-2.47862163E-13 2
- 4.79890772E+03-1.06726844E+02-6.96750795E-01 6.86591236E-02 8.37234371E-05 3
--1.55992310E-07 6.37298489E-11 1.38075240E+04 3.63194390E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C9H11R(268) C 9H 11 G 100.000 5000.000 1085.50 1
- 4.56733285E+01 1.18839448E-01-4.80404842E-05 8.92343446E-09-6.24824170E-13 2
--1.24225174E+04-1.93657906E+02-9.12042507E+00 2.47411634E-01-1.24364705E-04 3
--6.44187480E-09 1.72483214E-11 3.79406342E+03 9.50881435E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene)
-C12H16(269) C 12H 16 G 100.000 5000.000 1007.90 1
- 2.01685406E+01 5.76924436E-02-2.27934757E-05 4.31989249E-09-3.11426264E-13 2
- 8.31377843E+03-8.04000555E+01-6.85203365E-01 7.59088552E-02 4.61534421E-05 3
--1.04820152E-07 4.25190020E-11 1.57959363E+04 3.66350417E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C9H11R(270) C 9H 11 G 100.000 5000.000 1671.42 1
- 5.60645279E+01 1.04469203E-01-4.10049761E-05 7.20774496E-09-4.75939282E-13 2
--1.62208408E+04-2.53727317E+02-9.86295916E+00 2.62244801E-01-1.82598835E-04 3
- 6.36840766E-08-8.92327610E-12 5.81771826E+03 9.82000695E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + ring(Cyclopentadiene)
-C11H14(271) C 11H 14 G 100.000 5000.000 976.91 1
- 2.47849941E+01 4.03226788E-02-1.44748932E-05 2.70039383E-09-1.97503513E-13 2
- 1.53071003E+04-1.00839600E+02-9.48659197E-01 8.23579090E-02 1.82252064E-05 3
--8.59756370E-08 3.94776787E-11 2.33570814E+04 3.81767857E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C9H12(272) C 9H 12 G 100.000 5000.000 977.02 1
- 1.85974115E+01 3.65628696E-02-1.32931363E-05 2.49664831E-09-1.83038653E-13 2
- 1.13677180E+04-7.15007429E+01 5.09630892E-01 5.33073245E-02 4.89832693E-05 3
--1.00032545E-07 4.14138147E-11 1.76374012E+04 2.93397499E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene)
-C12H16(273) C 12H 16 G 100.000 5000.000 973.26 1
- 2.72341886E+01 4.64428259E-02-1.67230509E-05 3.23583342E-09-2.45064693E-13 2
- 4.53472605E+03-1.21900942E+02-6.94666347E-01 6.40168445E-02 1.06012808E-04 3
--1.83460276E-07 7.40720223E-11 1.45752422E+04 3.57355838E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene) + ring(Cyclopentene)
-C11H14(274) C 11H 14 G 100.000 5000.000 964.31 1
- 2.38120416E+01 4.07518160E-02-1.38546310E-05 2.63711134E-09-2.00248402E-13 2
- 9.71550802E+03-1.02534268E+02 1.46371480E-01 4.86676350E-02 1.14217078E-04 3
--1.82957081E-07 7.30766148E-11 1.84759144E+04 3.25362711E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C9H12(275) C 9H 12 G 100.000 5000.000 1043.46 1
- 1.41839217E+01 4.46600031E-02-1.81712259E-05 3.42367727E-09-2.43043707E-13 2
- 1.47904637E+04-4.63521527E+01 5.09048839E-01 6.06736141E-02 1.11455292E-05 3
--4.87446129E-08 2.02670813E-11 1.96263561E+04 2.97004619E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-! + ring(4-Methylenecyclopentene) + ring(Cyclopentene)
-C11H14(276) C 11H 14 G 100.000 5000.000 991.10 1
- 1.90475865E+01 4.94235755E-02-1.90551014E-05 3.63875614E-09-2.66347314E-13 2
- 1.32930452E+04-7.53958852E+01 1.68735646E-01 5.58067517E-02 7.69407054E-05 3
--1.32003828E-07 5.18761557E-11 2.04638514E+04 3.28120863E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)(Cds-
-! Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentadiene)
-C12H14(277) C 12H 14 G 100.000 5000.000 970.35 1
- 2.67870692E+01 4.10488246E-02-1.44180516E-05 2.74445656E-09-2.06290970E-13 2
- 1.71303653E+04-1.15377572E+02-7.93794109E-01 7.15705055E-02 6.69716506E-05 3
--1.41506345E-07 5.97163391E-11 2.63986790E+04 3.70307106E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene)
-C11H14(278) C 11H 14 G 100.000 5000.000 1010.04 1
- 2.08539617E+01 4.73499037E-02-1.83546398E-05 3.42538509E-09-2.44386765E-13 2
- 1.94907089E+04-8.11109120E+01-8.57408456E-01 8.56667463E-02-4.47054956E-06 3
--5.24620431E-08 2.51534319E-11 2.63079212E+04 3.58867206E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C11H14(279) C 11H 14 G 100.000 5000.000 1181.29 1
- 1.79852603E+01 5.29832921E-02-2.18771415E-05 4.04321668E-09-2.79421797E-13 2
- 2.22082091E+04-6.47663103E+01-9.41384624E-01 9.38400429E-02-4.42579774E-05 3
- 2.60918923E-11 4.09396213E-12 2.83006862E+04 3.65578594E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene)
-C12H16(280) C 12H 16 G 100.000 5000.000 1000.83 1
- 2.25528556E+01 5.49784358E-02-2.18471207E-05 4.21979296E-09-3.09719155E-13 2
- 8.07565094E+03-9.52337092E+01-6.75165501E-01 7.11763903E-02 6.87369243E-05 3
--1.32630233E-07 5.29863287E-11 1.65633101E+04 3.60224626E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene) + radical(Tertalkyl)
-C13H20R(281) C 13H 20 G 100.000 5000.000 1536.03 1
- 5.52901740E+01 1.46936356E-01-6.04137543E-05 1.09482114E-08-7.40053173E-13 2
--2.14422997E+04-2.37658111E+02-1.19235380E+01 3.21968566E-01-2.31340231E-04 3
- 8.51335673E-08-1.28142513E-11-7.93834740E+02 1.15457430E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Allyl_S)
-C10H12L(282) C 10H 12 G 100.000 5000.000 1110.41 1
- 4.67926740E+01 1.24545041E-01-5.08116673E-05 9.43928344E-09-6.59066271E-13 2
- 7.18134219E+02-1.98933211E+02-9.62825648E+00 2.58062829E-01-1.36985157E-04 3
- 4.62670756E-09 1.31560844E-11 1.75468370E+04 9.85301431E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C12H15(283) C 12H 15 G 100.000 5000.000 1005.93 1
- 1.99691331E+01 5.57266573E-02-2.21085282E-05 4.21295591E-09-3.05142957E-13 2
- 2.35092301E+04-8.06598604E+01-4.75292206E-01 7.08271976E-02 5.40813811E-05 3
--1.11697701E-07 4.47594763E-11 3.09714893E+04 3.47404626E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentadiene)
-C11H12(284) C 11H 12 G 100.000 5000.000 969.30 1
- 2.32101710E+01 3.73349336E-02-1.30720576E-05 2.47777419E-09-1.85664894E-13 2
- 2.23279044E+04-1.00122562E+02-6.61237102E-02 5.94305697E-02 6.71850814E-05 3
--1.31437788E-07 5.46557419E-11 3.03146282E+04 2.93683666E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH)
-C6H9R(285) C 6H 9 G 100.000 5000.000 1496.70 1
- 4.37846280E+01 1.05270679E-01-4.26232791E-05 7.68732307E-09-5.19198149E-13 2
--2.72453682E+04-1.85921973E+02-8.21480693E+00 2.44243188E-01-1.81903818E-04 3
- 6.97269905E-08-1.08820610E-11-1.16800380E+04 8.59140709E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_T)
-C7H12R(286) C 7H 12 G 100.000 5000.000 1580.17 1
- 4.62652164E+01 1.13668270E-01-4.55330125E-05 8.12307091E-09-5.43225968E-13 2
--2.75685487E+04-1.99330797E+02-8.78896387E+00 2.53032261E-01-1.77827612E-04 3
- 6.39380981E-08-9.37385076E-12-1.01697200E+04 9.14623523E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + radical(C=CC=CCJ)
-C6H8R(287) C 6H 8 G 100.000 5000.000 1539.96 1
- 4.68743396E+01 9.75908404E-02-3.81763967E-05 6.74829644E-09-4.49821150E-13 2
--1.45116431E+04-2.03189214E+02-8.47592784E+00 2.41360748E-01-1.78214924E-04 3
- 6.73722918E-08-1.02915828E-11 2.53588600E+03 8.77419564E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C6H8R(288) C 6H 8 G 100.000 5000.000 1094.49 1
- 3.86979026E+01 1.09951958E-01-4.48885611E-05 8.36167958E-09-5.85531690E-13 2
--1.45451027E+04-1.62828066E+02-7.28502180E+00 2.11681446E-01-9.34127642E-05 3
--1.74479171E-08 1.79564772E-11-5.07115572E+02 8.13120874E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_S)
-C10H13LR(289) C 10H 13 G 100.000 5000.000 1454.92 1
- 7.81281481E+01 2.06926233E-01-8.58227468E-05 1.56912660E-08-1.06946036E-12 2
--3.31639533E+04-3.40193528E+02-1.92910744E+01 4.74757091E-01-3.61949085E-04 3
- 1.42215156E-07-2.28099093E-11-4.81619691E+03 1.66326438E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C6H8(290) C 6H 8 G 100.000 5000.000 960.58 1
- 1.30050803E+01 2.22419877E-02-7.40377667E-06 1.39943163E-09-1.06266736E-13 2
- 7.40239242E+03-4.64344790E+01 2.32690993E+00 1.71726183E-02 7.78631591E-05 3
--1.11460906E-07 4.32380665E-11 1.17391865E+04 1.65476731E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJ)
-C8H12R(291) C 8H 12 G 100.000 5000.000 1370.97 1
- 3.77104261E+01 1.32594171E-01-5.66340571E-05 1.05173901E-08-7.24244360E-13 2
--3.02402958E+03-1.43761914E+02-8.46245443E+00 2.67309434E-01-2.04027412E-04 3
- 8.21905391E-08-1.37939660E-11 9.63636154E+03 9.35641778E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_P)
-C10H12L(292) C 10H 12 G 100.000 5000.000 1102.77 1
- 4.89601926E+01 1.21295280E-01-4.91845567E-05 9.12345880E-09-6.37224805E-13 2
--7.06033204E+01-2.10352879E+02-9.99118930E+00 2.65713812E-01-1.51210361E-04 3
- 1.37255366E-08 1.12587201E-11 1.71519702E+04 9.89567317E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl)
-C9H12L(293) C 9H 12 G 100.000 5000.000 1619.67 1
- 5.14954781E+01 1.14037776E-01-4.56622488E-05 8.13216036E-09-5.42451405E-13 2
--8.37120028E+03-2.26684529E+02-9.57592324E+00 2.64860899E-01-1.85340645E-04 3
- 6.56242418E-08-9.41642420E-12 1.14120584E+04 9.74001583E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C12H18L(294) C 12H 18 G 100.000 5000.000 1078.71 1
- 4.86050683E+01 1.47005829E-01-6.03435857E-05 1.13135436E-08-7.96763138E-13 2
--2.47131817E+04-2.17226110E+02-1.04350160E+01 2.66791439E-01-8.90473484E-05 3
--5.61505793E-08 3.45854123E-11-6.20759016E+03 9.88178954E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Allyl_T)
-C11H15LR(295) C 11H 15 G 100.000 5000.000 1449.34 1
- 7.92685401E+01 2.13852682E-01-8.81535441E-05 1.60685594E-08-1.09346174E-12 2
--3.84654284E+04-3.45420502E+02-1.99361915E+01 4.87644789E-01-3.71514971E-04 3
- 1.46408650E-07-2.35760638E-11-9.70907349E+03 1.70000948E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene)
-C12H15R(296) C 12H 15 G 100.000 5000.000 1101.22 1
- 5.32967442E+01 1.30040239E-01-5.21966462E-05 9.63099414E-09-6.70759027E-13 2
--1.26899407E+04-2.31436671E+02-1.13537145E+01 2.92946918E-01-1.76124435E-04 3
- 2.53445569E-08 9.22677831E-12 5.91007876E+03 1.06499358E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Allyl_T)
-C11H14L(297) C 11H 14 G 100.000 5000.000 1108.28 1
- 4.79475878E+01 1.31462259E-01-5.31428736E-05 9.81758911E-09-6.83205397E-13 2
--4.59537980E+03-2.04252788E+02-1.02533736E+01 2.70725501E-01-1.45810557E-04 3
- 7.92262414E-09 1.27458344E-11 1.26530624E+04 1.02132105E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-! + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C11H13(298) C 11H 13 G 100.000 5000.000 989.86 1
- 1.88612200E+01 4.74361573E-02-1.83579000E-05 3.52896278E-09-2.59829397E-13 2
- 2.84828367E+04-7.57294525E+01 3.76954178E-01 5.07442303E-02 8.48064841E-05 3
--1.38809372E-07 5.40903905E-11 3.56394778E+04 3.09236242E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! radical(Tertalkyl)
-C9H13LR(299) C 9H 13 G 100.000 5000.000 1363.25 1
- 6.40224319E+01 2.25570174E-01-9.63824411E-05 1.79123546E-08-1.23444983E-12 2
--3.33183653E+04-2.60111222E+02-1.77743107E+01 4.65574041E-01-3.60460148E-04 3
- 1.47052931E-07-2.49168093E-11-1.10163677E+04 1.59857686E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H15R(300) C 12H 15 G 100.000 5000.000 1566.57 1
- 5.95575332E+01 1.21837260E-01-4.83652283E-05 8.60922637E-09-5.75606012E-13 2
--1.48928004E+04-2.67805817E+02-1.17064415E+01 3.03796420E-01-2.22589666E-04 3
- 8.27507836E-08-1.24072639E-11 7.43552470E+03 1.07992281E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H15R(301) C 12H 15 G 100.000 5000.000 1121.26 1
- 5.28560347E+01 1.30821508E-01-5.27434898E-05 9.72419232E-09-6.75562712E-13 2
--1.33846614E+04-2.28974063E+02-1.13295304E+01 2.93067172E-01-1.80521300E-04 3
- 3.26189719E-08 6.05418605E-12 5.20386424E+03 1.06736092E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C12H15R(302) C 12H 15 G 100.000 5000.000 1566.54 1
- 5.97034512E+01 1.21522555E-01-4.81854252E-05 8.57260354E-09-5.72988978E-13 2
--1.44632860E+04-2.68423304E+02-1.17270099E+01 3.03913746E-01-2.22830175E-04 3
- 8.28958533E-08-1.24340930E-11 7.91635073E+03 1.08250012E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H15R(303) C 12H 15 G 100.000 5000.000 1509.92 1
- 4.91975772E+01 1.39151282E-01-5.82067546E-05 1.06500139E-08-7.24423565E-13 2
--8.64298886E+03-2.08552974E+02-1.04420453E+01 2.97145375E-01-2.15162813E-04 3
- 7.99499441E-08-1.21985275E-11 9.36722656E+03 1.03748645E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H15R(304) C 12H 15 G 100.000 5000.000 1570.17 1
- 5.82448591E+01 1.23933856E-01-4.96312630E-05 8.87115226E-09-5.94391818E-13 2
--1.46950919E+04-2.60161386E+02-1.14775739E+01 3.01552705E-01-2.19313678E-04 3
- 8.09158634E-08-1.20653221E-11 7.19996120E+03 1.07666175E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH)
-! + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C12H16R2(305) C 12H 16 G 100.000 5000.000 1367.88 1
- 7.49182078E+01 2.28883730E-01-9.65425787E-05 1.78478308E-08-1.22699888E-12 2
--4.02861270E+04-3.17420770E+02-2.01527715E+01 5.06891695E-01-4.01400707E-04 3
- 1.66426273E-07-2.83817039E-11-1.42768259E+04 1.71024478E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentene)
-C12H15R(306) C 12H 15 G 100.000 5000.000 1045.62 1
- 5.09879540E+01 1.32957435E-01-5.32670860E-05 9.95872650E-09-7.04515305E-13 2
--1.85994022E+04-2.24591977E+02-1.02538597E+01 2.61993632E-01-8.73990844E-05 3
--6.45399332E-08 4.01227978E-11-3.90491958E+01 1.01107447E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H12L(307) C 10H 12 G 100.000 5000.000 1054.34 1
- 4.32426324E+01 1.29003761E-01-5.23476746E-05 9.81631649E-09-6.94021279E-13 2
--7.66140816E+02-1.88955834E+02-8.48136992E+00 2.27334262E-01-5.29562429E-05 3
--7.78704657E-08 4.09810636E-11 1.55823333E+04 8.91250401E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-CdsHH) + ring(Cyclopentene) + ring(3-Methylenecyclopentene)
-C12H16(308) C 12H 16 G 100.000 5000.000 973.93 1
- 2.47896556E+01 4.92569612E-02-1.77262251E-05 3.34919676E-09-2.47862163E-13 2
- 4.79890772E+03-1.06726844E+02-6.96750795E-01 6.86591236E-02 8.37234371E-05 3
--1.55992310E-07 6.37298489E-11 1.38075240E+04 3.63194390E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene)
-C12H16(309) C 12H 16 G 100.000 5000.000 1007.90 1
- 2.01685406E+01 5.76924436E-02-2.27934757E-05 4.31989249E-09-3.11426264E-13 2
- 8.31377843E+03-8.04000555E+01-6.85203365E-01 7.59088552E-02 4.61534421E-05 3
--1.04820152E-07 4.25190020E-11 1.57959363E+04 3.66350417E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C13H20R(310) C 13H 20 G 100.000 5000.000 1091.31 1
- 5.04813045E+01 1.53836435E-01-6.32627676E-05 1.18373053E-08-8.31277744E-13 2
--2.82779548E+04-2.25616322E+02-1.12013093E+01 2.82936615E-01-1.07401948E-04 3
--4.26356601E-08 3.03034765E-11-9.03970541E+03 1.03816805E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(RCCJC)
-C9H13(311) C 9H 13 G 100.000 5000.000 1020.42 1
- 1.52751021E+01 4.48755251E-02-1.75873483E-05 3.26476702E-09-2.30779405E-13 2
- 2.00474614E+04-4.90015136E+01 2.48245644E-01 6.57148136E-02 7.73406415E-06 3
--4.98347311E-08 2.17345665E-11 2.50960097E+04 3.35088366E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C9H13(312) C 9H 13 G 100.000 5000.000 975.61 1
- 1.50453950E+01 4.44172801E-02-1.64120137E-05 3.12448791E-09-2.31051489E-13 2
- 1.07468493E+04-6.29402923E+01 1.47644945E+00 2.62858363E-02 1.24876973E-04 3
--1.70920810E-07 6.42267959E-11 1.69049497E+04 2.01782574E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s3_5_6_ane) -
-! ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4)
-C9H13(313) C 9H 13 G 100.000 5000.000 993.35 1
- 1.38864816E+01 4.43859201E-02-1.69449497E-05 3.18051734E-09-2.29181922E-13 2
- 1.61216173E+04-4.99309158E+01 1.03151087E+00 4.40857005E-02 6.21277556E-05 3
--1.02651337E-07 3.96851728E-11 2.12442220E+04 2.49306389E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + Estimated bicyclic component:
-! polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4)
-C9H12L(314) C 9H 12 G 100.000 5000.000 1115.22 1
- 4.32555984E+01 1.24524214E-01-5.12105081E-05 9.55202957E-09-6.68057437E-13 2
--9.07274619E+03-1.86791074E+02-8.78856957E+00 2.40726590E-01-1.12726488E-04 3
--1.03325165E-08 1.64906218E-11 6.91738784E+03 8.96138009E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST)
-! + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH)
-C12H16R2(315) C 12H 16 G 100.000 5000.000 1413.35 1
- 8.33996824E+01 2.14296151E-01-8.82038371E-05 1.61043146E-08-1.09867304E-12 2
--4.59728806E+04-3.65606215E+02-2.10361373E+01 5.09865154E-01-4.01893034E-04 3
- 1.64068879E-07-2.72712897E-11-1.64519490E+04 1.74367358E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) +
-! radical(Tertalkyl)
-C10H14R(316) C 10H 14 G 100.000 5000.000 1599.31 1
- 5.21435275E+01 1.22747800E-01-4.95840363E-05 8.87931988E-09-5.94684328E-13 2
--1.13420894E+04-2.28013417E+02-1.01072499E+01 2.78444805E-01-1.95615690E-04 3
- 6.97532343E-08-1.01105154E-11 8.56919559E+03 1.01540673E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-
-! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + ring(Cyclopentene)
-C12H15R(317) C 12H 15 G 100.000 5000.000 1037.14 1
- 5.30029988E+01 1.30970986E-01-5.27686498E-05 9.95357841E-09-7.09794145E-13 2
--1.88368065E+04-2.37419592E+02-1.02222875E+01 2.57296870E-01-6.55076470E-05 3
--9.11087628E-08 4.99854435E-11 5.98459052E+02 1.00382516E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C10H15R2(318) C 10H 15 G 100.000 5000.000 1355.88 1
- 6.48923760E+01 2.34027846E-01-1.00205863E-04 1.86439044E-08-1.28584006E-12 2
--3.64309755E+04-2.62779005E+02-1.83551748E+01 4.79622119E-01-3.71910014E-04 3
- 1.52239393E-07-2.59189122E-11-1.38566552E+04 1.64185540E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C12H16R2(319) C 12H 16 G 100.000 5000.000 1364.97 1
- 7.32568163E+01 2.31629150E-01-9.81770621E-05 1.81902836E-08-1.25200381E-12 2
--4.04290027E+04-3.08010365E+02-1.99203422E+01 5.04682678E-01-3.98243478E-04 3
- 1.64746576E-07-2.80944949E-11-1.49922821E+04 1.70505691E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(4-Methylenecyclopentene)
-C12H15R(320) C 12H 15 G 100.000 5000.000 1108.27 1
- 4.81156341E+01 1.38572670E-01-5.67697519E-05 1.05703338E-08-7.38941725E-13 2
--1.58714263E+04-2.08210153E+02-1.03563684E+01 2.70387581E-01-1.27948988E-04 3
--1.11141812E-08 1.87027144E-11 1.95448798E+03 1.01844708E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-
-! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene)
-C12H15R(321) C 12H 15 G 100.000 5000.000 1084.96 1
- 4.96521104E+01 1.37352066E-01-5.66937498E-05 1.06617199E-08-7.52027632E-13 2
--1.58912542E+04-2.18311953E+02-1.02895188E+01 2.65324082E-01-1.05017405E-04 3
--3.86667868E-08 2.88228288E-11 2.59041064E+03 1.00990072E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene)
-C12H15R(322) C 12H 15 G 100.000 5000.000 1120.49 1
- 5.42122866E+01 1.28875703E-01-5.18517778E-05 9.55320308E-09-6.63627486E-13 2
--1.35104046E+04-2.34993590E+02-1.15586144E+01 2.97943860E-01-1.90196864E-04 3
- 3.95153832E-08 4.33150337E-12 5.35460832E+03 1.08206578E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C12H15(323) C 12H 15 G 100.000 5000.000 1005.93 1
- 1.99691331E+01 5.57266573E-02-2.21085282E-05 4.21295591E-09-3.05142957E-13 2
- 2.35092301E+04-8.06598604E+01-4.75292206E-01 7.08271976E-02 5.40813811E-05 3
--1.11697701E-07 4.47594763E-11 3.09714893E+04 3.47404626E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_S)
-C10H12R(324) C 10H 12 G 100.000 5000.000 1130.09 1
- 4.77019309E+01 1.23395173E-01-5.04768003E-05 9.36410953E-09-6.52167136E-13 2
--1.01110988E+02-2.02457405E+02-9.82525317E+00 2.62964078E-01-1.50713493E-04 3
- 1.83423061E-08 8.45680674E-12 1.69910304E+04 1.00209205E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C6H11L(325) C 6H 11 G 100.000 5000.000 1564.42 1
- 4.51550659E+01 1.08747733E-01-4.37801313E-05 7.84222614E-09-5.26095308E-13 2
--4.13707398E+04-1.93993006E+02-8.39137388E+00 2.45659418E-01-1.75055031E-04 3
- 6.37845315E-08-9.46594652E-12-2.46170421E+04 8.83000510E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_P)
-C11H14L(326) C 11H 14 G 100.000 5000.000 1159.19 1
- 5.18748785E+01 1.26696372E-01-5.13420989E-05 9.44350661E-09-6.53110687E-13 2
--5.86660295E+03-2.23260987E+02-1.09859061E+01 2.87295795E-01-1.86288626E-04 3
- 4.51442470E-08 6.85840546E-13 1.24903709E+04 1.05611282E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C11H14L(327) C 11H 14 G 100.000 5000.000 1075.65 1
- 4.49249188E+01 1.36362759E-01-5.55793534E-05 1.03808249E-08-7.29615532E-13 2
--5.99637189E+03-1.97149095E+02-9.37889537E+00 2.47891166E-01-8.50291790E-05 3
--4.95066735E-08 3.13503350E-11 1.09163560E+04 9.31079970E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene) + radical(RCCJCC)
-C8H10L(328) C 8H 10 G 100.000 5000.000 1675.70 1
- 5.27704388E+01 1.02196603E-01-3.99298263E-05 6.99685757E-09-4.61051195E-13 2
--5.13240004E+03-2.35397875E+02-9.19178974E+00 2.50105757E-01-1.72331765E-04 3
- 5.96726547E-08-8.31990404E-12 1.56334155E+04 9.55202689E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + ring(4-Methylenecyclopentene) + ring(Cyclopentadiene)
-C11H12(329) C 11H 12 G 100.000 5000.000 1008.47 1
- 1.85648707E+01 4.58099841E-02-1.81614924E-05 3.45360165E-09-2.49647913E-13 2
- 2.58534430E+04-7.36586571E+01-5.38207094E-02 6.66753725E-02 2.96109196E-05 3
--8.02238899E-08 3.34087031E-11 3.23030057E+04 2.96810218E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-C7H13R(330) C 7H 13 G 100.000 5000.000 1544.24 1
- 4.58719794E+01 1.17378589E-01-4.76702753E-05 8.58413912E-09-5.78023397E-13 2
--4.43856574E+04-1.95737042E+02-8.93351030E+00 2.59341587E-01-1.85568136E-04 3
- 6.81170857E-08-1.02160583E-11-2.74593217E+04 9.24817526E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-! + ring(Cyclopentadiene)
-C11H14(331) C 11H 14 G 100.000 5000.000 1021.14 1
- 2.12456556E+01 4.70248661E-02-1.84733261E-05 3.45361092E-09-2.45834564E-13 2
- 1.89080008E+04-8.16848650E+01-1.02019676E+00 9.02205422E-02-1.72569008E-05 3
--3.95602614E-08 2.06213940E-11 2.57505646E+04 3.74394582E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(Cyclopentene) +
-! radical(Tertalkyl)
-C9H14L(332) C 9H 14 G 100.000 5000.000 1636.21 1
- 5.01365679E+01 1.21884142E-01-4.93876034E-05 8.83774658E-09-5.90702002E-13 2
--2.18242154E+04-2.19086918E+02-9.50360995E+00 2.67685012E-01-1.83051024E-04 3
- 6.32983572E-08-8.91185889E-12-2.30745497E+03 9.80082180E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H12R(333) C 10H 12 G 100.000 5000.000 1060.88 1
- 4.25509224E+01 1.30055873E-01-5.29997522E-05 9.94139808E-09-7.02123682E-13 2
--8.54507959E+02-1.84121046E+02-8.42457175E+00 2.26839404E-01-5.49303628E-05 3
--7.36270764E-08 3.89703434E-11 1.53306672E+04 9.01252889E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H15R(334) C 12H 15 G 100.000 5000.000 1539.92 1
- 5.82560822E+01 1.24090994E-01-4.98545697E-05 8.94198204E-09-6.01151929E-13 2
--1.46526618E+04-2.58637641E+02-1.16163917E+01 3.05590010E-01-2.26651084E-04 3
- 8.54823603E-08-1.30273644E-11 6.86662888E+03 1.08621714E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H16(335) C 12H 16 G 100.000 5000.000 987.69 1
- 2.55240701E+01 4.88991352E-02-1.80842092E-05 3.35080133E-09-2.40923780E-13 2
- 1.09066476E+04-1.05324651E+02-1.64577209E+00 9.79805587E-02-5.57506257E-08 3
--7.12992108E-08 3.44691658E-11 1.92467773E+04 4.04681327E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H15R(336) C 12H 15 G 100.000 5000.000 1146.49 1
- 5.39873442E+01 1.29318049E-01-5.22142853E-05 9.60472687E-09-6.65088805E-13 2
--1.43055996E+04-2.33764440E+02-1.15486277E+01 2.98209194E-01-1.94997096E-04 3
- 4.71673406E-08 1.05782307E-12 4.64904415E+03 1.08495741E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) + radical(cyclopentene-allyl)
-C12H15(337) C 12H 15 G 100.000 5000.000 975.24 1
- 2.51290982E+01 4.66032349E-02-1.69170514E-05 3.22305879E-09-2.39926747E-13 2
- 1.95086353E+04-1.08307792E+02-6.46329897E-01 6.78208095E-02 8.04202977E-05 3
--1.52164422E-07 6.23694308E-11 2.85545001E+04 3.59998043E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C9H13R(338) C 9H 13 G 100.000 5000.000 1489.79 1
- 5.20685775E+01 1.15355757E-01-4.61744210E-05 8.28823591E-09-5.58615238E-13 2
--2.25586072E+04-2.24828598E+02-1.03261448E+01 2.82885313E-01-2.14855469E-04 3
- 8.37728820E-08-1.32258618E-11-3.96797064E+03 1.01061358E+02 4
-
-! Thermo library: DFT_QCI_thermo
-[CH2]C(C)C(399) C 4H 9 G 100.000 5000.000 997.97 1
- 8.64397302E+00 2.40460607E-02-8.94850823E-06 1.61678839E-09-1.12732280E-13 2
- 4.65773611E+03-1.92473583E+01 2.22524562E+00 3.09739517E-02 8.89462565E-06 3
--2.91784755E-08 1.23302343E-11 6.87502937E+03 1.63965282E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C5H8LR(1393) C 5H 8 G 100.000 5000.000 1506.41 1
- 7.04405345E+01 1.84501764E-01-7.60390724E-05 1.38235083E-08-9.37298334E-13 2
--5.87975081E+04-3.06417139E+02-1.65446058E+01 4.15475658E-01-3.06030682E-04 3
- 1.15607287E-07-1.78291172E-11-3.25905131E+04 1.48876038E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C6H9R(1802) C 6H 9 G 100.000 5000.000 1504.36 1
- 4.56288208E+01 1.02399356E-01-4.10414092E-05 7.36453329E-09-4.95919636E-13 2
--2.66447750E+04-1.95634607E+02-8.45753100E+00 2.46211293E-01-1.84436224E-04 3
- 7.09107125E-08-1.10562306E-11-1.03716699E+04 8.73880072E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Allyl_P)
-C4H6L(1895) C 4H 6 G 100.000 5000.000 1593.00 1
- 4.33849203E+01 9.02594348E-02-3.59592663E-05 6.39964638E-09-4.27254132E-13 2
--1.41722103E+04-1.86001744E+02-7.19621921E+00 2.17267987E-01-1.55553045E-04 3
- 5.64493714E-08-8.28189023E-12 1.94293555E+03 8.15745401E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C10H17LR(3394) C 10H 17 G 100.000 5000.000 1363.67 1
- 6.24274804E+01 2.43819760E-01-1.04889278E-04 1.95421835E-08-1.34811735E-12 2
--4.89368677E+04-2.48596878E+02-1.81952219E+01 4.80304532E-01-3.65013191E-04 3
- 1.46709310E-07-2.46612538E-11-2.69480688E+04 1.65369479E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C13H22R(4080) C 13H 22 G 100.000 5000.000 1332.73 1
- 4.39596099E+01 1.70901018E-01-7.31500645E-05 1.36090236E-08-9.38831369E-13 2
--2.31905448E+04-1.69217107E+02-1.15783035E+01 3.37588221E-01-2.60755850E-04 3
- 1.07453276E-07-1.85423869E-11-8.38696172E+03 1.14674001E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C13H22R(4084) C 13H 22 G 100.000 5000.000 1332.73 1
- 4.39596099E+01 1.70901018E-01-7.31500645E-05 1.36090236E-08-9.38831369E-13 2
--2.33666715E+04-1.69061109E+02-1.15783035E+01 3.37588221E-01-2.60755850E-04 3
- 1.07453276E-07-1.85423869E-11-8.56308836E+03 1.14829999E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C12H20L(4086) C 12H 20 G 100.000 5000.000 1343.09 1
- 4.30824334E+01 1.62449426E-01-6.93276915E-05 1.28773105E-08-8.87402565E-13 2
--2.00726048E+04-1.66504198E+02-1.09928942E+01 3.23495845E-01-2.49187554E-04 3
- 1.02153351E-07-1.75049472E-11-5.54689940E+03 1.10329126E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
-! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
-! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C12H20L(4090) C 12H 20 G 100.000 5000.000 1343.09 1
- 4.30824334E+01 1.62449426E-01-6.93276915E-05 1.28773105E-08-8.87402565E-13 2
--2.02487314E+04-1.66348200E+02-1.09928942E+01 3.23495845E-01-2.49187554E-04 3
- 1.02153351E-07-1.75049472E-11-5.72302604E+03 1.10485123E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! radical(Allyl_S)
-C11H17(10750) C 11H 17 G 100.000 5000.000 1601.19 1
- 2.58295759E+01 4.89505741E-02-1.88549890E-05 3.29397577E-09-2.17446350E-13 2
- 1.03965880E+04-1.04978784E+02-2.24034181E+00 1.19072833E-01-8.45453911E-05 3
- 3.06444856E-08-4.48776418E-12 1.93856913E+04 4.36563281E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-C11H16(11277) C 11H 16 G 100.000 5000.000 1026.62 1
- 2.41123630E+01 4.75163161E-02-1.80710165E-05 3.29081900E-09-2.29949498E-13 2
- 8.59125855E+03-9.33322142E+01-1.99468620E+00 1.13682283E-01-6.27979854E-05 3
--1.39849878E-09 9.12678741E-12 1.58253001E+04 4.24303360E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C11H16(11279) C 11H 16 G 100.000 5000.000 1416.23 1
- 2.25806209E+01 5.10604373E-02-2.03479997E-05 3.65395552E-09-2.46928357E-13 2
- 1.10823225E+04-8.47992166E+01-1.97929174E+00 1.20427950E-01-9.38191258E-05 3
- 3.82395107E-08-6.35218711E-12 1.80387698E+04 4.22347999E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH)
-C11H16(11281) C 11H 16 G 100.000 5000.000 1026.62 1
- 2.41123630E+01 4.75163161E-02-1.80710165E-05 3.29081900E-09-2.29949498E-13 2
- 8.41513191E+03-9.31762163E+01-1.99468620E+00 1.13682283E-01-6.27979854E-05 3
--1.39849878E-09 9.12678741E-12 1.56491735E+04 4.25863339E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C6H8(18175) C 6H 8 G 100.000 5000.000 976.45 1
- 1.04853132E+01 2.62591571E-02-9.74924893E-06 1.87425933E-09-1.39653237E-13 2
- 1.02062581E+04-3.14551027E+01 2.60889969E+00 1.24234330E-02 8.23239180E-05 3
--1.09339225E-07 4.07134457E-11 1.39422331E+04 1.76102655E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(RCCJCC)
-C9H12R(18180) C 9H 12 G 100.000 5000.000 1619.34 1
- 5.17654012E+01 1.13605856E-01-4.55417506E-05 8.11530095E-09-5.41505749E-13 2
--7.65465181E+03-2.25468757E+02-9.60062410E+00 2.65188157E-01-1.85952470E-04 3
- 6.59208479E-08-9.46572093E-12 1.22199063E+04 1.00166616E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene) + radical(RCCJCC)
-C9H12R(18184) C 9H 12 G 100.000 5000.000 1653.13 1
- 5.33683416E+01 1.10951147E-01-4.38625216E-05 7.74428228E-09-5.13172696E-13 2
--8.06556517E+03-2.36414571E+02-9.71117762E+00 2.63583675E-01-1.82358476E-04 3
- 6.35970320E-08-8.95979935E-12 1.27898884E+04 9.96150232E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Isobutyl)
-C9H13(18191) C 9H 13 G 100.000 5000.000 967.36 1
- 1.89018054E+01 3.80719362E-02-1.32314365E-05 2.39113636E-09-1.71116684E-13 2
- 1.92551335E+04-6.97045594E+01 1.10763756E-01 6.43397789E-02 2.57885721E-05 3
--7.94609819E-08 3.51861426E-11 2.52971778E+04 3.27662510E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Isobutyl)
-C9H13(18194) C 9H 13 G 100.000 5000.000 962.38 1
- 1.86029440E+01 3.82445716E-02-1.30270811E-05 2.34305353E-09-1.68045391E-13 2
- 1.97970407E+04-6.96566514E+01 2.66671340E-01 5.98558502E-02 3.83916085E-05 3
--9.22289816E-08 3.97135126E-11 2.58548381E+04 3.12388617E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene) + radical(RCCJCC)
-C8H10L(18195) C 8H 10 G 100.000 5000.000 1640.87 1
- 5.11295546E+01 1.04888977E-01-4.16210545E-05 7.36918977E-09-4.89405441E-13 2
--4.69456631E+03-2.24218767E+02-9.07407869E+00 2.51646775E-01-1.75777313E-04 3
- 6.18744193E-08-8.79358391E-12 1.50630344E+04 9.60444185E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Cs_S)
-C9H12R(18224) C 9H 12 G 100.000 5000.000 1211.07 1
- 4.71305456E+01 1.20321011E-01-4.91774548E-05 9.03393075E-09-6.21868195E-13 2
--5.61762851E+03-1.98872491E+02-9.64095973E+00 2.61224216E-01-1.65972338E-04 3
- 4.15510339E-08-7.74890147E-13 1.15510104E+04 9.99997896E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Cs_S)
-C9H12R(18225) C 9H 12 G 100.000 5000.000 1211.07 1
- 4.71305456E+01 1.20321011E-01-4.91774548E-05 9.03393075E-09-6.21868195E-13 2
--5.21505334E+03-1.98872491E+02-9.64095973E+00 2.61224216E-01-1.65972338E-04 3
- 4.15510339E-08-7.74890147E-13 1.19535855E+04 9.99997896E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl)
-C13H20R(18248) C 13H 20 G 100.000 5000.000 1565.04 1
- 5.67016011E+01 1.44503695E-01-5.88244035E-05 1.05923648E-08-7.12624714E-13 2
--2.17313907E+04-2.47450663E+02-1.20060982E+01 3.20110238E-01-2.27133368E-04 3
- 8.22877637E-08-1.21652906E-11-2.25367688E+02 1.14799113E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-
-! Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + ring(3-Methylenecyclopentene) + radical(Tertalkyl)
-C12H18L(18253) C 12H 18 G 100.000 5000.000 1582.02 1
- 5.60165287E+01 1.35832099E-01-5.49157544E-05 9.84687935E-09-6.60447286E-13 2
--1.87351166E+04-2.45895518E+02-1.14672541E+01 3.06458465E-01-2.16695496E-04 3
- 7.80210103E-08-1.14336877E-11 2.61708596E+03 1.10629907E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + ring(Cyclopentadiene)
-C9H11R(18275) C 9H 11 G 100.000 5000.000 1100.71 1
- 4.64039004E+01 1.17970498E-01-4.78584958E-05 8.88283769E-09-6.20699043E-13 2
--1.31586803E+04-1.98475872E+02-9.30771329E+00 2.52217829E-01-1.37851914E-04 3
- 7.09038179E-09 1.25733071E-11 3.23780736E+03 9.44160767E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH)
-! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C9H11R(18276) C 9H 11 G 100.000 5000.000 1120.57 1
- 4.59016995E+01 1.18851921E-01-4.84613148E-05 8.98895501E-09-6.26555569E-13 2
--1.34989501E+04-1.93193131E+02-9.27435806E+00 2.52234080E-01-1.41906101E-04 3
- 1.39531954E-08 9.56129435E-12 2.85828331E+03 9.70906588E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C10H13R(18278) C 10H 13 G 100.000 5000.000 1155.88 1
- 4.92133572E+01 1.23539073E-01-5.01080559E-05 9.22385183E-09-6.38276783E-13 2
--1.84032366E+04-2.10783884E+02-1.02918895E+01 2.73684904E-01-1.72572989E-04 3
- 3.81102530E-08 2.14318899E-12-9.21043564E+02 1.01032197E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C10H13R(18279) C 10H 13 G 100.000 5000.000 1613.90 1
- 5.39553562E+01 1.17522867E-01-4.72316512E-05 8.43232335E-09-5.63439253E-13 2
--1.90712730E+04-2.40045239E+02-1.01722637E+01 2.76461599E-01-1.94953806E-04 3
- 6.94532790E-08-1.00158731E-11 1.62778045E+03 1.00028189E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH)
-! + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C10H13R(18280) C 10H 13 G 100.000 5000.000 1128.24 1
- 4.80453185E+01 1.25097114E-01-5.06656443E-05 9.34950674E-09-6.49232783E-13 2
--1.74640625E+04-2.05781422E+02-1.00744175E+01 2.68567094E-01-1.58203715E-04 3
- 2.37274726E-08 7.05901695E-12-3.66163154E+02 9.92780196E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C10H13R(18281) C 10H 13 G 100.000 5000.000 1193.97 1
- 4.93723967E+01 1.23391695E-01-5.01553629E-05 9.20507471E-09-6.34159745E-13 2
--1.95584116E+04-2.11603207E+02-1.02961800E+01 2.74077575E-01-1.77635937E-04 3
- 4.58628895E-08-1.08128008E-12-1.80203794E+03 1.01531430E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C10H13R(18282) C 10H 13 G 100.000 5000.000 1620.64 1
- 5.25981785E+01 1.19781038E-01-4.85964656E-05 8.71291333E-09-5.83422748E-13 2
--1.95291565E+04-2.32211815E+02-9.92129122E+00 2.74089076E-01-1.91417798E-04 3
- 6.74638905E-08-9.64634752E-12 7.35162295E+02 9.95942330E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C10H13R(18283) C 10H 13 G 100.000 5000.000 1154.95 1
- 4.78082674E+01 1.25563905E-01-5.10437234E-05 9.40494946E-09-6.51033517E-13 2
--1.84317050E+04-2.04330720E+02-1.00559197E+01 2.68730723E-01-1.62644723E-04 3
- 3.09137723E-08 3.98155840E-12-1.24821734E+03 9.96927705E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Tertalkyl)
-C10H14R(18285) C 10H 14 G 100.000 5000.000 1587.35 1
- 5.31776111E+01 1.20993560E-01-4.87198188E-05 8.71779440E-09-5.83932265E-13 2
--1.28219333E+04-2.33344630E+02-1.03003126E+01 2.80951512E-01-1.99874020E-04 3
- 7.22000124E-08-1.05819806E-11 7.33059684E+03 1.02231256E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C9H12(18323) C 9H 12 G 100.000 5000.000 982.75 1
- 1.89107369E+01 3.63666451E-02-1.34842993E-05 2.54168536E-09-1.85861696E-13 2
- 1.08194105E+04-7.16306909E+01 3.53787107E-01 5.77874217E-02 3.64101363E-05 3
--8.73313299E-08 3.69291821E-11 1.70797398E+04 3.08670946E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H16(18374) C 12H 16 G 100.000 5000.000 994.19 1
- 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2
- 1.05229069E+04-1.05761894E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3
--5.84483996E-08 2.99306817E-11 1.88653955E+04 4.18522470E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H16(18375) C 12H 16 G 100.000 5000.000 1065.20 1
- 2.14584708E+01 5.64251710E-02-2.26412480E-05 4.20340675E-09-2.94843321E-13 2
- 1.43524559E+04-8.23038040E+01-1.68546041E+00 1.05780150E-01-3.92583659E-05 3
--1.84948383E-08 1.28005365E-11 2.14135685E+04 4.08147701E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H16(18376) C 12H 16 G 100.000 5000.000 987.70 1
- 2.55244095E+01 4.88985567E-02-1.80838750E-05 3.35072229E-09-2.40917219E-13 2
- 1.10826320E+04-1.05482559E+02-1.64585932E+00 9.79816089E-02-5.95105135E-08 3
--7.12942373E-08 3.44670116E-11 1.94229077E+04 4.03124461E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H16(18377) C 12H 16 G 100.000 5000.000 1064.39 1
- 2.27412836E+01 5.46812825E-02-2.18684916E-05 4.05537676E-09-2.84435377E-13 2
- 1.37630057E+04-8.81211193E+01-1.91107798E+00 1.10723975E-01-4.92659731E-05 3
--1.10919254E-08 1.08615853E-11 2.10842727E+04 4.20901403E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H16(18378) C 12H 16 G 100.000 5000.000 1746.41 1
- 2.51065848E+01 5.23259740E-02-2.09531788E-05 3.70200237E-09-2.44413123E-13 2
- 1.42272291E+04-1.03747827E+02-1.82618201E+00 1.14011909E-01-7.39344784E-05 3
- 2.39264440E-08-3.13950094E-12 2.36345460E+04 4.12044315E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H16(18379) C 12H 16 G 100.000 5000.000 1044.58 1
- 2.22120224E+01 5.52291776E-02-2.18738543E-05 4.05569310E-09-2.85308057E-13 2
- 1.44072610E+04-8.67655149E+01-1.73729761E+00 1.06055197E-01-3.61525961E-05 3
--2.42984814E-08 1.54676510E-11 2.16411404E+04 4.04970666E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H16(18380) C 12H 16 G 100.000 5000.000 994.19 1
- 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2
- 1.03467803E+04-1.05605896E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3
--5.84483996E-08 2.99306817E-11 1.86892689E+04 4.20082449E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H16(18381) C 12H 16 G 100.000 5000.000 1065.19 1
- 2.14582827E+01 5.64254830E-02-2.26414247E-05 4.20344794E-09-2.94846704E-13 2
- 1.41764110E+04-8.21467419E+01-1.68542522E+00 1.05779742E-01-3.92569743E-05 3
--1.84965754E-08 1.28012432E-11 2.12374404E+04 4.09706415E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C12H15(18389) C 12H 15 G 100.000 5000.000 976.80 1
- 2.49169225E+01 4.70727356E-02-1.72198263E-05 3.28435118E-09-2.44159627E-13 2
- 1.94402804E+04-1.07192060E+02-6.44708514E-01 6.80809119E-02 7.89998703E-05 3
--1.50073243E-07 6.14483047E-11 2.84255031E+04 3.59594958E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C12H15(18406) C 12H 15 G 100.000 5000.000 976.80 1
- 2.49169225E+01 4.70727356E-02-1.72198263E-05 3.28435118E-09-2.44159627E-13 2
- 1.94402804E+04-1.07192060E+02-6.44708514E-01 6.80809119E-02 7.89998703E-05 3
--1.50073243E-07 6.14483047E-11 2.84255031E+04 3.59594958E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C9H11L(18430) C 9H 11 G 100.000 5000.000 1643.33 1
- 5.37498096E+01 1.08300794E-01-4.31602818E-05 7.66032901E-09-5.09433390E-13 2
--1.57734547E+04-2.40519974E+02-9.64935202E+00 2.62621401E-01-1.84022850E-04 3
- 6.48061877E-08-9.20314422E-12 5.06344450E+03 9.68355008E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-
-! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + ring(3-Methylenecyclopentene)
-C9H11L(18431) C 9H 11 G 100.000 5000.000 1104.74 1
- 4.58634107E+01 1.18882489E-01-4.81921627E-05 8.93248440E-09-6.23316871E-13 2
--1.32040565E+04-1.94882349E+02-9.26341425E+00 2.51620482E-01-1.37636088E-04 3
- 8.12267405E-09 1.19578139E-11 3.05625667E+03 9.50304747E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(Cyclopentadiene)
-C10H14(18433) C 10H 14 G 100.000 5000.000 1004.23 1
- 2.00189391E+01 4.46552536E-02-1.72332688E-05 3.22518985E-09-2.31128747E-13 2
- 5.84613587E+03-7.65618667E+01-5.02832745E-01 7.79261113E-02 5.46965077E-06 3
--5.99087252E-08 2.74507771E-11 1.24119365E+04 3.46993551E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(4-Methylenecyclopentene)
-C10H14(18434) C 10H 14 G 100.000 5000.000 1104.72 1
- 1.58799143E+01 5.20019594E-02-2.13955528E-05 3.98686348E-09-2.78553542E-13 2
- 9.55229348E+03-5.46267039E+01-3.80853622E-01 8.11344282E-02-2.05639011E-05 3
--2.08880192E-08 1.08663274E-11 1.49600590E+04 3.36565048E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene)
-C10H14(18435) C 10H 14 G 100.000 5000.000 995.84 1
- 1.96664464E+01 4.49160723E-02-1.70785393E-05 3.18861918E-09-2.28999269E-13 2
- 6.41156017E+03-7.62101610E+01-3.43463094E-01 7.34085282E-02 1.81513153E-05 3
--7.27115274E-08 3.19587500E-11 1.29694436E+04 3.31591252E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Tertalkyl)
-C10H15(18437) C 10H 15 G 100.000 5000.000 1105.02 1
- 1.65677738E+01 5.31368200E-02-2.16061448E-05 3.99738422E-09-2.78086561E-13 2
- 1.49416565E+04-5.62845145E+01-6.38251526E-01 8.67305931E-02-2.82638699E-05 3
--1.54809166E-08 9.44415760E-12 2.04958531E+04 3.63684688E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! Cds(Cds-Cds)H) + ring(Cyclopentadiene) + radical(Allyl_P)
-C11H15(18454) C 11H 15 G 100.000 5000.000 986.12 1
- 2.37160029E+01 4.54417144E-02-1.69135505E-05 3.16537039E-09-2.29574937E-13 2
- 1.93118597E+04-9.43665403E+01-9.94804424E-01 8.36558012E-02 1.92975989E-05 3
--8.50925192E-08 3.83140576E-11 2.72009870E+04 3.97933968E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) +
-! ring(3-Methylenecyclopentene) + radical(Allyl_S)
-C11H15(18464) C 11H 15 G 100.000 5000.000 1007.03 1
- 2.03808178E+01 5.09200717E-02-1.98853365E-05 3.73803228E-09-2.68183194E-13 2
- 2.04322186E+04-7.90356222E+01-7.02912044E-01 7.98174957E-02 1.87694122E-05 3
--7.59368722E-08 3.29382598E-11 2.74597578E+04 3.66375166E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-
-! Cds)H) + ring(Cyclopentadiene) + ring(Cyclopentene) + radical(cyclopentene-allyl)
-C11H13(18468) C 11H 13 G 100.000 5000.000 966.76 1
- 2.39294792E+01 3.85838366E-02-1.33574103E-05 2.57440106E-09-1.96720943E-13 2
- 2.43611610E+04-1.02943864E+02 1.99007300E-01 4.80837913E-02 1.09505615E-04 3
--1.77040335E-07 7.07890794E-11 3.30938673E+04 3.21741197E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C10H13R(18540) C 10H 13 G 100.000 5000.000 1622.68 1
- 5.43810019E+01 1.17023216E-01-4.70833089E-05 8.40685416E-09-5.61560093E-13 2
--1.87306299E+04-2.41742038E+02-1.01753639E+01 2.76157993E-01-1.94186600E-04 3
- 6.88430560E-08-9.87270754E-12 2.22028714E+03 1.00955659E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene)
-C12H16(18679) C 12H 16 G 100.000 5000.000 976.30 1
- 2.75366833E+01 4.62647066E-02-1.69245278E-05 3.28328506E-09-2.48086659E-13 2
- 3.99107131E+03-1.21969723E+02-8.49011537E-01 6.84798627E-02 9.34957204E-05 3
--1.70824612E-07 6.96114375E-11 1.40175161E+04 3.72575226E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene)
-C12H16(18680) C 12H 16 G 100.000 5000.000 977.49 1
- 2.50955566E+01 4.90730841E-02-1.79243955E-05 3.39586972E-09-2.50819691E-13 2
- 4.25381012E+03-1.06814824E+02-8.51768115E-01 7.31300967E-02 7.11786112E-05 3
--1.43321229E-07 5.92545799E-11 1.32498267E+04 3.78437846E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H)
-! + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene)
-C12H16(18717) C 12H 16 G 100.000 5000.000 977.49 1
- 2.50955566E+01 4.90730841E-02-1.79243955E-05 3.39586972E-09-2.50819691E-13 2
- 4.25381012E+03-1.06814824E+02-8.51768115E-01 7.31300967E-02 7.11786112E-05 3
--1.43321229E-07 5.92545799E-11 1.32498267E+04 3.78437846E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C12H16(18724) C 12H 16 G 100.000 5000.000 994.19 1
- 2.58641648E+01 4.86583387E-02-1.82500544E-05 3.38992408E-09-2.43260380E-13 2
- 1.05229069E+04-1.05761894E+02-1.80514980E+00 1.02500634E-01-1.27586425E-05 3
--5.84483996E-08 2.99306817E-11 1.88653955E+04 4.18522470E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)(Cds-Cds)CsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(4-Methylenecyclopentene)
-C12H16(18725) C 12H 16 G 100.000 5000.000 1065.20 1
- 2.14584708E+01 5.64251710E-02-2.26412480E-05 4.20340675E-09-2.94843321E-13 2
- 1.43524559E+04-8.23038040E+01-1.68546041E+00 1.05780150E-01-3.92583659E-05 3
--1.84948383E-08 1.28005365E-11 2.14135685E+04 4.08147701E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
-! Cds(Cds-Cds)Cs) + group(Cds-Cds(Cds-Cds)Cs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-
-! CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C12H16(18726) C 12H 16 G 100.000 5000.000 987.70 1
- 2.55244095E+01 4.88985567E-02-1.80838750E-05 3.35072229E-09-2.40917219E-13 2
- 1.10826320E+04-1.05482559E+02-1.64585932E+00 9.79816089E-02-5.95105135E-08 3
--7.12942373E-08 3.44670116E-11 1.94229077E+04 4.03124461E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-
-! Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene)
-C11H14(18772) C 11H 14 G 100.000 5000.000 967.17 1
- 2.41037012E+01 4.05916189E-02-1.40662385E-05 2.68692088E-09-2.03463760E-13 2
- 9.17656723E+03-1.02541747E+02-7.28085098E-03 5.31239455E-02 1.01715300E-04 3
--1.70326872E-07 6.86108245E-11 1.79181578E+04 3.40556402E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C9H13(20452) C 9H 13 G 100.000 5000.000 975.61 1
- 1.50453950E+01 4.44172801E-02-1.64120137E-05 3.12448791E-09-2.31051489E-13 2
- 1.07468493E+04-6.29402923E+01 1.47644945E+00 2.62858363E-02 1.24876973E-04 3
--1.70920810E-07 6.42267959E-11 1.69049497E+04 2.01782574E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH)
-! + group(Cds-CdsHH) + radical(Allyl_T)
-C10H14L(20637) C 10H 14 G 100.000 5000.000 1532.83 1
- 5.49223871E+01 1.17159067E-01-4.61994520E-05 8.20671745E-09-5.48797917E-13 2
--1.10969149E+04-2.40232162E+02-1.08510352E+01 2.88798516E-01-2.14163003E-04 3
- 8.12584412E-08-1.24633345E-11 9.06694894E+03 1.05179340E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + radical(Allyl_T)
-C11H14L(20661) C 11H 14 G 100.000 5000.000 1127.86 1
- 4.88667804E+01 1.30295180E-01-5.27979702E-05 9.74002742E-09-6.76107255E-13 2
--5.41867857E+03-2.07832706E+02-1.04534754E+01 2.75663320E-01-1.59665821E-04 3
- 2.18000398E-08 7.97932975E-12 1.20973896E+04 1.03822300E+02 4
-
-! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-
-! Cds)H) + group(Cds-Cds(Cds-Cds)H) + ring(Cyclopentene) + ring(Cyclopentadiene) + radical(cyclopentene-allyl)
-C12H15(22038) C 12H 15 G 100.000 5000.000 976.69 1
- 2.51205609E+01 4.67447329E-02-1.71014146E-05 3.27013955E-09-2.43704299E-13 2
- 2.05714948E+04-1.06799180E+02-6.32369841E-01 6.73579780E-02 8.15635523E-05 3
--1.53031384E-07 6.25336831E-11 2.96493908E+04 3.75562024E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-Cds(Cds-Cds)Cs) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) +
-! group(Cds-CdsHH) + group(Cds-CdsHH) + ring(3-Methylenecyclopentene)
-C10H13L(22766) C 10H 13 G 100.000 5000.000 1124.77 1
- 4.72177614E+01 1.26278136E-01-5.14114266E-05 9.51874225E-09-6.62396101E-13 2
--1.64048464E+04-2.00050598E+02-9.87042324E+00 2.63759419E-01-1.47352757E-04 3
- 1.45789678E-08 9.72749446E-12 5.83181868E+02 1.00508781E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene)
-C6H7R(24238) C 6H 7 G 100.000 5000.000 1618.41 1
- 4.92319464E+01 9.19050209E-02-3.59849141E-05 6.33977125E-09-4.20305990E-13 2
--2.25749089E+04-2.23107439E+02-8.32666906E+00 2.34165275E-01-1.67837330E-04 3
- 6.06535579E-08-8.81033265E-12-3.94429851E+03 8.22906301E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
-! Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + longDistanceInteraction_noncyclic(CdCs-ST) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
-! Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C9H12R2(24302) C 9H 12 G 100.000 5000.000 1451.65 1
- 7.78877883E+01 1.99789891E-01-8.22533062E-05 1.49915360E-08-1.02026044E-12 2
--4.63686083E+04-3.39754559E+02-1.90286409E+01 4.66841837E-01-3.58200101E-04 3
- 1.41719496E-07-2.28450871E-11-1.82308788E+04 1.63931964E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)(Cds-Cds)CsH) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH)
-! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + group(Cds-CdsHH)
-C9H13R(24328) C 9H 13 G 100.000 5000.000 1411.65 1
- 4.16922572E+01 1.32939943E-01-5.62363472E-05 1.03859389E-08-7.12366357E-13 2
--1.68614102E+04-1.65814611E+02-9.13159504E+00 2.76952612E-01-2.09262299E-04 3
- 8.26540926E-08-1.35108966E-11-2.51231731E+03 9.69030704E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) + group(Cs-
-! CsCsCsH) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentadiene) + ring(Cyclopentene)
-C12H15R(24501) C 12H 15 G 100.000 5000.000 1042.72 1
- 5.34606703E+01 1.30539367E-01-5.28281390E-05 9.96820661E-09-7.10137913E-13 2
--1.94491238E+04-2.38368595E+02-1.03887801E+01 2.61886030E-01-7.83750506E-05 3
--7.81696681E-08 4.54694451E-11 4.12699672E+01 1.01949057E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)(Cds-Cds)HH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + ring(Cyclopentene) + ring(Cyclopentadiene)
-C12H15R(24502) C 12H 15 G 100.000 5000.000 1052.56 1
- 5.14869298E+01 1.32458764E-01-5.32891925E-05 9.96474279E-09-7.04158252E-13 2
--1.92301561E+04-2.25775590E+02-1.04243045E+01 2.66625570E-01-1.00396436E-04 3
--5.14635454E-08 3.55628247E-11-5.96063722E+02 1.02688401E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s1_4_5_ene_1) + radical(cyclopentene-allyl)
-C9H13(26444) C 9H 13 G 100.000 5000.000 1005.34 1
- 1.45205208E+01 4.77313085E-02-1.91631477E-05 3.67979294E-09-2.67704983E-13 2
- 1.84519619E+04-5.78210822E+01 9.73303731E-01 4.27648407E-02 7.60799804E-05 3
--1.17723174E-07 4.44058101E-11 2.41507423E+04 2.24039588E+01 4
-
-! Thermo library: DFT_QCI_thermo
-CC(C)C(29484) C 4H 10 G 100.000 5000.000 987.07 1
- 8.84796655E+00 2.61185538E-02-9.57943992E-06 1.72898565E-09-1.21009648E-13 2
--2.06283022E+04-2.38567537E+01 2.18597861E+00 3.04308348E-02 1.83404174E-05 3
--4.04112424E-08 1.64491188E-11-1.82080424E+04 1.37946297E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) +
-! radical(cyclopentene-4)
-C8H10L(30673) C 8H 10 G 100.000 5000.000 1125.10 1
- 3.94995560E+01 1.19666496E-01-4.89072012E-05 9.06933072E-09-6.31310098E-13 2
--3.43448217E+03-1.65714493E+02-7.95308927E+00 2.25940198E-01-1.07357781E-04 3
--5.61652495E-09 1.35909933E-11 1.11947747E+04 8.63709272E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C8H10L(30674) C 8H 10 G 100.000 5000.000 1058.71 1
- 3.89684089E+01 1.22420645E-01-4.98837484E-05 9.35957622E-09-6.61267737E-13 2
--8.04753996E+03-1.69110529E+02-7.38422832E+00 2.06856934E-01-4.10196979E-05 3
--7.71351247E-08 3.88698273E-11 6.84996030E+03 8.11628566E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s2_5_5_ene_1) + radical(Tertalkyl)
-C10H15(32869) C 10H 15 G 100.000 5000.000 1059.42 1
- 1.40167902E+01 5.88103687E-02-2.49768066E-05 4.79494017E-09-3.43025837E-13 2
- 1.17374774E+04-5.16820777E+01 2.96264424E-01 6.06398329E-02 4.31904811E-05 3
--8.26272020E-08 3.07939379E-11 1.74491188E+04 2.85394543E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H15(32871) C 10H 15 G 100.000 5000.000 982.24 1
- 1.88670560E+01 4.91735858E-02-1.86608631E-05 3.59499781E-09-2.66828995E-13 2
- 5.07738465E+03-8.43932536E+01 6.33311152E-01 4.11596222E-02 1.19211328E-04 3
--1.75252809E-07 6.69569806E-11 1.26279064E+04 2.34488474E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsCs) + group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-! + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C10H14R(33566) C 10H 14 G 100.000 5000.000 1056.43 1
- 4.50784083E+01 1.32984964E-01-5.43075562E-05 1.02209750E-08-7.24098821E-13 2
--1.84920470E+04-2.02426137E+02-8.91611438E+00 2.34637764E-01-5.26957452E-05 3
--8.28958202E-08 4.31064996E-11-1.34788715E+03 8.81776152E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C9H12R(34500) C 9H 12 G 100.000 5000.000 1056.94 1
- 4.11780874E+01 1.28356687E-01-5.21302175E-05 9.76696138E-09-6.89665106E-13 2
--1.27876366E+04-1.80526734E+02-8.06975435E+00 2.19737199E-01-4.69956979E-05 3
--7.85101762E-08 4.03050139E-11 2.92900942E+03 8.48947908E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s2_5_5_ene_1) +
-! radical(Tertalkyl)
-C11H15(35243) C 11H 15 G 100.000 5000.000 1052.75 1
- 1.44137484E+01 6.07268850E-02-2.52416560E-05 4.79259399E-09-3.40928773E-13 2
- 2.47132978E+04-4.97583684E+01 4.10989626E-02 6.62676391E-02 3.67795194E-05 3
--7.87582313E-08 3.00143532E-11 3.04585782E+04 3.32345718E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + polycyclic(s3_5_6_ene_5)
-! + radical(Allyl_T)
-C11H15(35245) C 11H 15 G 100.000 5000.000 977.63 1
- 1.93258694E+01 5.09936874E-02-1.88736444E-05 3.58095218E-09-2.63798485E-13 2
- 1.80242975E+04-8.28233145E+01 3.85944150E-01 4.66784751E-02 1.13266705E-04 3
--1.72121949E-07 6.65548650E-11 2.56370438E+04 2.81170649E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsHH)
-C4H7L(36302) C 4H 7 G 100.000 5000.000 1595.43 1
- 4.02358500E+01 9.76264172E-02-3.96754688E-05 7.12836100E-09-4.78392997E-13 2
--3.13133246E+04-1.69077871E+02-6.82156892E+00 2.15604773E-01-1.50594954E-04 3
- 5.34763429E-08-7.74087522E-12-1.62976844E+04 7.99303982E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
-! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-
-! Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
-! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
-C7H11L2(36342) C 7H 11 G 100.000 5000.000 1396.30 1
- 5.92438387E+01 2.19654288E-01-9.42932172E-05 1.75336995E-08-1.20725710E-12 2
--3.67317819E+04-2.36087130E+02-1.62884779E+01 4.36032317E-01-3.26740666E-04 3
- 1.28516043E-07-2.10780073E-11-1.56385836E+04 1.53527434E+02 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
-! group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! Estimated bicyclic component: polycyclic(s3_5_6_ane) - ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) +
-! radical(cyclopentene-4)
-C9H12R(38722) C 9H 12 G 100.000 5000.000 1117.87 1
- 4.16282225E+01 1.25728778E-01-5.12218916E-05 9.49206052E-09-6.60933093E-13 2
--8.13653128E+03-1.76666981E+02-8.63723430E+00 2.38814545E-01-1.13361703E-04 3
--6.88657509E-09 1.49527184E-11 7.27374890E+03 9.00972160E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
-! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
-! polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C9H12R(38723) C 9H 12 G 100.000 5000.000 1056.94 1
- 4.11780874E+01 1.28356687E-01-5.21302175E-05 9.76696138E-09-6.89665106E-13 2
--1.27876366E+04-1.80526734E+02-8.06975435E+00 2.19737199E-01-4.69956979E-05 3
--7.85101762E-08 4.03050139E-11 2.92900942E+03 8.48947908E+01 4
-
-! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
-! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + Estimated bicyclic component: polycyclic(s3_5_6_ane) -
-! ring(Cyclohexane) - ring(Cyclopentane) + ring(Cyclohexene) + ring(Cyclopentene) + radical(cyclopentene-4)
-C9H13(38809) C 9H 13 G 100.000 5000.000 993.35 1
- 1.38864816E+01 4.43859201E-02-1.69449497E-05 3.18051734E-09-2.29181922E-13 2
- 1.61216173E+04-4.99309158E+01 1.03151087E+00 4.40857005E-02 6.21277556E-05 3
--1.02651337E-07 3.96851728E-11 2.12442220E+04 2.49306389E+01 4
-
-! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-(Cds-Cds)CsCsH) +
-! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
-! CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
-! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
-! + polycyclic(s3_5_6_ene_5) + radical(Allyl_T)
-C9H12R(39454) C 9H 12 G 100.000 5000.000 1071.03 1
- 4.07146169E+01 1.29458483E-01-5.29168821E-05 9.90931586E-09-6.97879367E-13 2
--1.15529007E+04-1.76759571E+02-8.14244096E+00 2.22920935E-01-5.91592977E-05 3
--6.37963591E-08 3.46179106E-11 4.01747795E+03 8.61318686E+01 4
-
-END
-
-
-
-REACTIONS KCAL/MOLE MOLES
-
-! Reaction index: Chemkin #1; RMG #1
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), RC10L(1); C[CH]CC(C)CR(5), RC10L(1);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>RC10L(1) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2; RMG #2
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), RC10L(1); C[CH]CC(C)L(7), RC10L(1);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>RC10L(1) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #3; RMG #3
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), RC10L(1); C7H14R(9), RC10L(1);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C7H14R(9)<=>RC10L(1) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4; RMG #4
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), RC10L(1); C6H12L(11), RC10L(1);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C6H12L(11)<=>RC10L(1) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5; RMG #5
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5R(12)+CC(C)L(13) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #6; RMG #6
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), RC10L(1); C8H16L(15), RC10L(1);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]R(14)+C8H16L(15)<=>RC10L(1) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #7; RMG #7
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]CC(C)L(7)<=>C3H5R(12)+CCCC(C)L(16) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #8; RMG #8
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CCCC(C)L(16)<=>CC(C)L(13)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #9; RMG #9
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>CC(C)L(13)+C6H11R(17) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #10; RMG #10
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>CCCC(C)L(16)+C6H11R(17) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #11; RMG #11
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C[CH]CC(C)CR(5); C[CH]CR(10), C[CH]CC(C)CR(5);
-! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+C[CH]CR(10)<=>C[CH]CC(C)CR(5) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #12; RMG #12
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]R(14), [CH2]C(C)CR(6); C3H6(18), [CH2]C(C)CR(6);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]R(14)+C3H6(18)<=>[CH2]C(C)CR(6) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #13; RMG #13
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C[CH]CC(C)L(7); C3H6(18), C[CH]CC(C)L(7);
-! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C3H6(18)<=>C[CH]CC(C)L(7) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #14; RMG #14
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C7H14R(9); [CH2]C(C)CR(6), C7H14R(9);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+[CH2]C(C)CR(6)<=>C7H14R(9) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #15; RMG #15
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C6H12L(11); [CH2]C(C)L(4), C6H12L(11);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+[CH2]C(C)L(4)<=>C6H12L(11) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #16; RMG #16
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C8H16L(15); C[CH]CC(C)L(7), C8H16L(15);
-! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+C[CH]CC(C)L(7)<=>C8H16L(15) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #17; RMG #17
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+[CH2]C(C)L(4)<=>C2H3L(19)+CC(C)L(13) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #18; RMG #18
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CC(C)L(7)<=>C2H3L(19)+CCCC(C)L(16) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #19; RMG #19
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>CC(C)CR(20)+C6H11R(17) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #20; RMG #20
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+[CH2]C(C)CR(6)<=>C2H3L(19)+CC(C)CR(20) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #21; RMG #21
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+[CH2]C(C)CR(6)<=>C3H5R(12)+CC(C)CR(20) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #22; RMG #22
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CC(C)CR(20)<=>CC(C)L(13)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #23; RMG #23
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CCCC(C)L(16)<=>CC(C)CR(20)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #24; RMG #24
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C8H16L(15)<=>CC(C)CR(20)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #25; RMG #25
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C8H16L(15)<=>CC(C)L(13)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #26; RMG #26
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C8H16L(15)<=>CCCC(C)L(16)+C8H15L(21) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #27; RMG #27
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C[CH]CR(10)<=>CR(22)+C3H5R(12) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #28; RMG #28
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C[CH]CC(C)CR(5)<=>CR(22)+C6H11R(17) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #29; RMG #29
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C2H3L(19); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C[CH]L(8)<=>CR(22)+C2H3L(19) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #30; RMG #30
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+CC(C)L(13)<=>CR(22)+[CH2]C(C)L(4) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #31; RMG #31
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C8H16L(15)<=>CR(22)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #32; RMG #32
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CCCC(C)L(16)<=>CR(22)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #33; RMG #33
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+CC(C)CR(20)<=>CR(22)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #34; RMG #34
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H14R(9)<=>C6H11R(17)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #35; RMG #35
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H14R(9)<=>C2H3L(19)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #36; RMG #36
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H14R(9)<=>C3H5R(12)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #37; RMG #37
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CC(C)CC(C)CR(23)<=>CC(C)L(13)+C7H14R(9) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #38; RMG #38
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C8H16L(15)<=>CC(C)CC(C)CR(23)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #39; RMG #39
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C7H14R(9)<=>C[CH]CC(C)L(7)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #40; RMG #40
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CC(C)CC(C)CR(23)<=>CC(C)CR(20)+C7H14R(9) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #41; RMG #41
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+CC(C)CC(C)CR(23)<=>CR(22)+C7H14R(9) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #42; RMG #42
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>CC(C)CR(20)+C5H9L(24) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #43; RMG #43
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>CC(C)L(13)+C5H9L(24) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #44; RMG #44
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C[CH]CC(C)L(7)<=>C5H9L(24)+CCCC(C)L(16) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #45; RMG #45
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H14R(9)<=>C5H9L(24)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #46; RMG #46
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C[CH]CC(C)L(7)<=>CR(22)+C5H9L(24) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #47; RMG #47
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H12L(11)<=>C3H5R(12)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #48; RMG #48
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11R(17)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #49; RMG #49
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H12L(11)<=>C5H9L(24)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #50; RMG #50
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H12L(11)<=>C2H3L(19)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #51; RMG #51
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CC(C)CC(C)L(25)<=>CC(C)L(13)+C6H12L(11) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #52; RMG #52
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C8H16L(15)<=>CC(C)CC(C)L(25)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #53; RMG #53
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C6H12L(11)<=>C[CH]CC(C)L(7)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #54; RMG #54
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CC(C)CC(C)L(25)<=>CC(C)CR(20)+C6H12L(11) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #55; RMG #55
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+CC(C)CC(C)L(25)<=>CR(22)+C6H12L(11) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #56; RMG #56
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H12L(11)+CC(C)CC(C)CR(23)<=>CC(C)CC(C)L(25)+C7H14R(9) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #57; RMG #57
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CC(C)CR(5)<=>CCL(26)+C6H11R(17) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #58; RMG #58
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CC(C)L(7)<=>CCL(26)+C5H9L(24) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #59; RMG #59
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CCL(26); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]L(8)<=>C2H3L(19)+CCL(26) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #60; RMG #60
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CR(10)<=>CCL(26)+C3H5R(12) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #61; RMG #61
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+[CH2]C(C)L(4)<=>C[CH]L(8)+CC(C)L(13) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #62; RMG #62
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C8H16L(15)<=>CCL(26)+C8H15L(21) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #63; RMG #63
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C[CH]CC(C)L(7)<=>C[CH]L(8)+CCCC(C)L(16) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #64; RMG #64
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+[CH2]C(C)CR(6)<=>C[CH]L(8)+CC(C)CR(20) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #65; RMG #65
-! Template reaction: H_Abstraction
-! Flux pairs: CCL(26), C[CH]L(8); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CCL(26)<=>CR(22)+C[CH]L(8) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #66; RMG #66
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C7H14R(9)<=>C[CH]L(8)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #67; RMG #67
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C6H12L(11)<=>C[CH]L(8)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #68; RMG #68
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]CR(10)<=>C3H5R(12)+CCCR(27) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #69; RMG #69
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]CC(C)CR(5)<=>CCCR(27)+C6H11R(17) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #70; RMG #70
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]CC(C)L(7)<=>CCCR(27)+C5H9L(24) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #71; RMG #71
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CR(10)<=>C2H3L(19)+CCCR(27) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #72; RMG #72
-! Template reaction: H_Abstraction
-! Flux pairs: CCCR(27), CC(C)L(13); [CH2]C(C)L(4), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CCCR(27)<=>C[CH]CR(10)+CC(C)L(13) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #73; RMG #73
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C8H16L(15)<=>CCCR(27)+C8H15L(21) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #74; RMG #74
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C[CH]CC(C)L(7)<=>C[CH]CR(10)+CCCC(C)L(16) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #75; RMG #75
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+[CH2]C(C)CR(6)<=>C[CH]CR(10)+CC(C)CR(20) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #76; RMG #76
-! Template reaction: H_Abstraction
-! Flux pairs: CCCR(27), C[CH]CR(10); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CCCR(27)<=>CR(22)+C[CH]CR(10) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #77; RMG #77
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C7H14R(9)<=>C[CH]CR(10)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #78; RMG #78
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C6H12L(11)<=>C[CH]CR(10)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #79; RMG #79
-! Template reaction: H_Abstraction
-! Flux pairs: CCCR(27), C[CH]CR(10); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+CCCR(27)<=>CCL(26)+C[CH]CR(10) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #80; RMG #80
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C7H14LR(28); [CH2]C(C)CR(6), C7H14LR(28);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>C7H14LR(28) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #81; RMG #81
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C10H20LR(29); C7H14R(9), C10H20LR(29);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]C(C)L(4)+C7H14R(9)<=>C10H20LR(29) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #82; RMG #82
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C9H18L2(30); C6H12L(11), C9H18L2(30);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]C(C)L(4)+C6H12L(11)<=>C9H18L2(30) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #83; RMG #83
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(L)CCR(31); [CH2]C(C)L(4), CC(L)CCR(31);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]R(14)+[CH2]C(C)L(4)<=>CC(L)CCR(31) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #84; RMG #84
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C[CH]CC(C)CR(5)<=>C6H11R(17)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #85; RMG #85
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>C5H9L(24)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #86; RMG #86
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]CC(C)CR(5)<=>C2H3L(19)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #87; RMG #87
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C3H5R(12)+CCCC(C)CR(32) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #88; RMG #88
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CCCC(C)CR(32)<=>CC(C)L(13)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #89; RMG #89
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C8H16L(15)<=>CCCC(C)CR(32)+C8H15L(21) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #90; RMG #90
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+CCCC(C)CR(32)<=>CCCC(C)L(16)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #91; RMG #91
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CCCC(C)CR(32)<=>CC(C)CR(20)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #92; RMG #92
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CCCC(C)CR(32)<=>CR(22)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #93; RMG #93
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), CC(C)CC(C)L(25); C6H12L(11), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+CCCC(C)CR(32)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)L(25) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #94; RMG #94
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C7H14R(9)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)CR(23) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #95; RMG #95
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+CCCC(C)CR(32)<=>CCL(26)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #96; RMG #96
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+CCCC(C)CR(32)<=>CCCR(27)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #97; RMG #97
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C8H16L2(33); C[CH]CC(C)L(7), C8H16L2(33);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>C8H16L2(33) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #98; RMG #98
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C8H16L2(33); C6H12L(11), C8H16L2(33);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C6H12L(11)<=>C8H16L2(33) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #99; RMG #99
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(CR)CCR(34); [CH2]C(C)CR(6), CC(CR)CCR(34);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]R(14)+[CH2]C(C)CR(6)<=>CC(CR)CCR(34) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #100; RMG #100
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CC(L)CC(C)L(35); [CH2]C(C)L(4), CC(L)CC(C)L(35);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+[CH2]C(C)L(4)<=>CC(L)CC(C)L(35) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #101; RMG #101
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), C8H16R2(36); C7H14R(9), C8H16R2(36);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]R(14)+C7H14R(9)<=>C8H16R2(36) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #102; RMG #102
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CC(L)CC(C)CR(37); [CH2]C(C)CR(6), CC(L)CC(C)CR(37);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+[CH2]C(C)CR(6)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #103; RMG #103
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CC(L)CC(C)CR(37); [CH2]C(C)L(4), CC(L)CC(C)CR(37);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+[CH2]C(C)L(4)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #104; RMG #104
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(L)CC(C)CR(37); C[CH]CC(C)L(7), CC(L)CC(C)CR(37);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]R(14)+C[CH]CC(C)L(7)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #105; RMG #105
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), C7H14LR(38); C6H12L(11), C7H14LR(38);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]R(14)+C6H12L(11)<=>C7H14LR(38) 3.187950e+16 -1.177 0.000
-
-! Reaction index: Chemkin #106; RMG #106
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C9H18R2(39); C[CH]CC(C)CR(5), C9H18R2(39);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C9H18R2(39) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #107; RMG #107
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C7H14R2(40); [CH2]C(C)CR(6), C7H14R2(40);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+[CH2]C(C)CR(6)<=>C7H14R2(40) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #108; RMG #108
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), C7H14R2(40); C[CH]CC(C)CR(5), C7H14R2(40);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]R(14)+C[CH]CC(C)CR(5)<=>C7H14R2(40) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #109; RMG #109
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(L)CR(41); C[CH]L(8), CC(L)CR(41);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]R(14)+C[CH]L(8)<=>CC(L)CR(41) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #110; RMG #110
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(CR)CR(42); C[CH]CR(10), CC(CR)CR(42);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]R(14)+C[CH]CR(10)<=>CC(CR)CR(42) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #111; RMG #111
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C8H16LR(43); C[CH]CC(C)CR(5), C8H16LR(43);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C[CH]CC(C)CR(5)<=>C8H16LR(43) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #112; RMG #112
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C8H16LR(44); C[CH]CC(C)L(7), C8H16LR(44);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C[CH]CC(C)L(7)<=>C8H16LR(44) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #113; RMG #113
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(L)CCC(C)L(45); [CH2]C(C)L(4), CC(L)CCC(C)L(45);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]C(C)L(4)+[CH2]C(C)L(4)<=>CC(L)CCC(C)L(45) 1.593980e+16 -1.177 0.000
-
-! Reaction index: Chemkin #114; RMG #114
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C7H14L2(46); C[CH]CC(C)L(7), C7H14L2(46);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C[CH]CC(C)L(7)<=>C7H14L2(46) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #115; RMG #115
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CC(L)C(C)CR(47); C[CH]CR(10), CC(L)C(C)CR(47);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C[CH]CR(10)<=>CC(L)C(C)CR(47) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #116; RMG #116
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C10H20R2(48); C[CH]CC(C)CR(5), C10H20R2(48);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>C10H20R2(48) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #117; RMG #117
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C10H20R2(48); C7H14R(9), C10H20R2(48);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C7H14R(9)<=>C10H20R2(48) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #118; RMG #118
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C8H16L(15)<=>C3H5R(12)+C8H17L(49) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #119; RMG #119
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C8H16L(15)<=>C6H11R(17)+C8H17L(49) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #120; RMG #120
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C8H16L(15)<=>C5H9L(24)+C8H17L(49) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #121; RMG #121
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C8H16L(15)<=>C2H3L(19)+C8H17L(49) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #122; RMG #122
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C8H17L(49)<=>CC(C)L(13)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #123; RMG #123
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C8H16L(15)<=>C8H15L(21)+C8H17L(49) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #124; RMG #124
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C8H17L(49)<=>CCCC(C)L(16)+C8H16L(15) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #125; RMG #125
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C8H17L(49)<=>CR(22)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #126; RMG #126
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C8H17L(49)<=>CC(C)CR(20)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #127; RMG #127
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C8H17L(49)<=>CC(C)CC(C)L(25)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #128; RMG #128
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C8H17L(49)<=>CCL(26)+C8H16L(15) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #129; RMG #129
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C8H17L(49)<=>CCCR(27)+C8H16L(15) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #130; RMG #130
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C8H17L(49)<=>CCCC(C)CR(32)+C8H16L(15) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #131; RMG #131
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C8H17L(49)<=>CC(C)CC(C)CR(23)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #132; RMG #132
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C11H22L2(50); C6H12L(11), C11H22L2(50);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CC(C)L(7)+C6H12L(11)<=>C11H22L2(50) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #133; RMG #133
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C11H22L2(50); C8H16L(15), C11H22L2(50);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)L(4)+C8H16L(15)<=>C11H22L2(50) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #134; RMG #134
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CC(L)C(C)L(51); C[CH]L(8), CC(L)C(C)L(51);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C[CH]L(8)<=>CC(L)C(C)L(51) 1.740640e+13 -0.158 0.000
-
-! Reaction index: Chemkin #135; RMG #135
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CC(CR)C(C)CR(52); C[CH]CR(10), CC(CR)C(C)CR(52);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C[CH]CR(10)<=>CC(CR)C(C)CR(52) 1.740640e+13 -0.158 0.000
-
-! Reaction index: Chemkin #136; RMG #136
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C10H20L2(53); C8H16L(15), C10H20L2(53);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C8H16L(15)<=>C10H20L2(53) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #137; RMG #137
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C11H22LR(54); C8H16L(15), C11H22LR(54);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C8H16L(15)<=>C11H22LR(54) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #138; RMG #138
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), RCCR(55); [CH2]R(14), RCCR(55);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R
-[CH2]R(14)+[CH2]R(14)<=>RCCR(55) 1.593980e+16 -1.177 0.000
-
-! Reaction index: Chemkin #139; RMG #139
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C[CH]CC(C)CR(5)<=>C6H11R(56)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #140; RMG #140
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>CC(C)L(13)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #141; RMG #141
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>CC(C)CR(20)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #142; RMG #142
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>CCCC(C)L(16)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #143; RMG #143
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H14R(9)<=>C6H11R(56)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #144; RMG #144
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C[CH]CC(C)CR(5)<=>CCL(26)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #145; RMG #145
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]CC(C)CR(5)<=>CCCR(27)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #146; RMG #146
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11R(56)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #147; RMG #147
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C[CH]CC(C)CR(5)<=>CR(22)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #148; RMG #148
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C8H16L(15)<=>C6H11R(56)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #149; RMG #149
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>CC(C)CR(20)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #150; RMG #150
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C[CH]CC(C)CR(5)<=>C5H9L(57)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #151; RMG #151
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>CC(C)L(13)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #152; RMG #152
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C[CH]CC(C)L(7)<=>C5H9L(57)+CCCC(C)L(16) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #153; RMG #153
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H14R(9)<=>C5H9L(57)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #154; RMG #154
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C[CH]CC(C)L(7)<=>CCL(26)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #155; RMG #155
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]CC(C)L(7)<=>CCCR(27)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #156; RMG #156
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H12L(11)<=>C5H9L(57)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #157; RMG #157
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C[CH]CC(C)L(7)<=>CR(22)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #158; RMG #158
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C8H16L(15)<=>C5H9L(57)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #159; RMG #159
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+[CH2]C(C)CR(6)<=>C3H5R(58)+CC(C)CR(20) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #160; RMG #160
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CCCR(27); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]CR(10)<=>C3H5R(58)+CCCR(27) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #161; RMG #161
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]CC(C)CR(5)<=>C3H5R(58)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #162; RMG #162
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5R(58)+CC(C)L(13) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #163; RMG #163
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H14R(9)<=>C3H5R(58)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #164; RMG #164
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]CC(C)L(7)<=>C3H5R(58)+CCCC(C)L(16) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #165; RMG #165
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C[CH]CR(10)<=>CCL(26)+C3H5R(58) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #166; RMG #166
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H12L(11)<=>C3H5R(58)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #167; RMG #167
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C[CH]CR(10)<=>CR(22)+C3H5R(58) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #168; RMG #168
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C8H16L(15)<=>C3H5R(58)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #169; RMG #169
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C[CH]CC(C)CR(5)<=>C3H5L(59)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #170; RMG #170
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]C(C)L(4)<=>C3H5L(59)+CC(C)L(13) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #171; RMG #171
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>C3H5L(59)+CC(C)CR(20) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #172; RMG #172
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C[CH]CC(C)L(7)<=>C3H5L(59)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #173; RMG #173
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C7H14R(9)<=>C3H5L(59)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #174; RMG #174
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+[CH2]C(C)L(4)<=>CCL(26)+C3H5L(59) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #175; RMG #175
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CCCR(27); C[CH]CR(10), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+[CH2]C(C)L(4)<=>C3H5L(59)+CCCR(27) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #176; RMG #176
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H12L(11)<=>C3H5L(59)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #177; RMG #177
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+[CH2]C(C)L(4)<=>CR(22)+C3H5L(59) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #178; RMG #178
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C8H16L(15)<=>C3H5L(59)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #179; RMG #179
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+[CH2]C(C)CR(6)<=>C4H7R(60)+CC(C)CR(20) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #180; RMG #180
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C[CH]CC(C)CR(5)<=>C4H7R(60)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #181; RMG #181
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]C(C)CR(6)<=>CC(C)L(13)+C4H7R(60) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #182; RMG #182
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C[CH]CC(C)L(7)<=>C4H7R(60)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #183; RMG #183
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C7H14R(9)<=>C4H7R(60)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #184; RMG #184
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+[CH2]C(C)CR(6)<=>CCL(26)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #185; RMG #185
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+[CH2]C(C)CR(6)<=>CCCR(27)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #186; RMG #186
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H12L(11)<=>C4H7R(60)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #187; RMG #187
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+[CH2]C(C)CR(6)<=>CR(22)+C4H7R(60) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #188; RMG #188
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C8H16L(15)<=>C4H7R(60)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #189; RMG #189
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C8H16L(15)<=>CC(C)CR(20)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #190; RMG #190
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C8H16L(15)<=>CCCR(27)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #191; RMG #191
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C8H16L(15)<=>CCCC(C)CR(32)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #192; RMG #192
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C8H16L(15)<=>CC(C)L(13)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #193; RMG #193
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C8H16L(15)<=>CC(C)CC(C)CR(23)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #194; RMG #194
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C8H16L(15)<=>CCCC(C)L(16)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #195; RMG #195
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C8H16L(15)<=>CCL(26)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #196; RMG #196
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C8H16L(15)<=>CC(C)CC(C)L(25)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #197; RMG #197
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C8H16L(15)<=>CR(22)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #198; RMG #198
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C8H16L(15)<=>C8H15L(61)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #199; RMG #199
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C7H14R(9)<=>CC(C)CR(20)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #200; RMG #200
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CC(C)CR(5)+C7H14R(9)<=>CCCC(C)CR(32)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #201; RMG #201
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C7H14R(9)<=>CC(C)L(13)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #202; RMG #202
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H14R(9)+C7H14R(9)<=>C7H13R(62)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #203; RMG #203
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CC(C)L(7)+C7H14R(9)<=>CCCC(C)L(16)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #204; RMG #204
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+C7H14R(9)<=>CCL(26)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #205; RMG #205
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+C7H14R(9)<=>CCCR(27)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #206; RMG #206
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C7H14R(9)<=>CC(C)CC(C)L(25)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #207; RMG #207
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+C7H14R(9)<=>CR(22)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #208; RMG #208
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C8H16L(15)<=>C7H13R(62)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #209; RMG #209
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H12L(11)<=>CC(C)CR(20)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #210; RMG #210
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+C6H12L(11)<=>CCCR(27)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #211; RMG #211
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CCCC(C)CR(32); C[CH]CC(C)CR(5), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CC(C)CR(5)+C6H12L(11)<=>C6H11L(63)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #212; RMG #212
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H12L(11)<=>CC(C)L(13)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #213; RMG #213
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C7H14R(9)<=>C6H11L(63)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #214; RMG #214
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CC(C)L(7)+C6H12L(11)<=>CCCC(C)L(16)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #215; RMG #215
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+C6H12L(11)<=>CCL(26)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #216; RMG #216
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C6H12L(11)<=>C6H11L(63)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #217; RMG #217
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+C6H12L(11)<=>CR(22)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #218; RMG #218
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C8H16L(15)<=>C6H11L(63)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #219; RMG #219
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C10H20R(64)<=>C[CH]CC(C)CR(5)+RC10(2) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #220; RMG #220
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10(2)<=>CC(C)L(13)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #221; RMG #221
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10(2)<=>CC(C)CR(20)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #222; RMG #222
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C10H20R(64)<=>C[CH]CC(C)L(7)+RC10(2) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #223; RMG #223
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+RC10(2)<=>CC(C)CC(C)CR(23)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #224; RMG #224
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C10H20R(64)<=>C[CH]L(8)+RC10(2) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #225; RMG #225
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C10H20R(64)<=>C[CH]CR(10)+RC10(2) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #226; RMG #226
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+RC10(2)<=>CC(C)CC(C)L(25)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #227; RMG #227
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H20R(64)<=>C3H5R(12)+RC10(2) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #228; RMG #228
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+RC10(2)<=>CR(22)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #229; RMG #229
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C10H20R(64)<=>C8H16L(15)+RC10(2) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #230; RMG #230
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H20R(64)<=>C6H11R(17)+RC10(2) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #231; RMG #231
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H20R(64)<=>C2H3L(19)+RC10(2) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #232; RMG #232
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H20R(64)<=>C8H15L(21)+RC10(2) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #233; RMG #233
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H20R(64)<=>C5H9L(24)+RC10(2) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #234; RMG #234
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H20R(64)<=>C6H11R(56)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #235; RMG #235
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H20R(64)<=>C5H9L(57)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #236; RMG #236
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H20R(64)<=>C3H5R(58)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #237; RMG #237
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C10H20R(64)<=>C3H5L(59)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #238; RMG #238
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C10H20R(64)<=>C4H7R(60)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #239; RMG #239
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H20R(64)<=>C8H15L(61)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #240; RMG #240
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C10H20R(64)<=>C7H13R(62)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #241; RMG #241
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C10H20R(64)<=>C6H11L(63)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #242; RMG #242
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(65) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #243; RMG #243
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #244; RMG #244
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #245; RMG #245
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(65) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #246; RMG #246
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #247; RMG #247
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(65) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #248; RMG #248
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(65) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #249; RMG #249
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #250; RMG #250
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(65)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #251; RMG #251
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #252; RMG #252
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C8H16L(15), C8H17L(49);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(65) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #253; RMG #253
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(65)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #254; RMG #254
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(65)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #255; RMG #255
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(65)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #256; RMG #256
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(65)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #257; RMG #257
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(65)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #258; RMG #258
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(65)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #259; RMG #259
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(65)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #260; RMG #260
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(65)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #261; RMG #261
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(65)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #262; RMG #262
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(65)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #263; RMG #263
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(65)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #264; RMG #264
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(65)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #265; RMG #265
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20R(64)<=>C9H17LR(65)+RC10(2) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #266; RMG #266
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C9H17LR(65); C7H13R(62), C9H17LR(65);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C7H13R(62)<=>C9H17LR(65) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #267; RMG #267
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C9H17LR(65); C6H11L(63), C9H17LR(65);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C6H11L(63)<=>C9H17LR(65) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #268; RMG #268
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(66)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #269; RMG #269
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #270; RMG #270
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #271; RMG #271
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(66)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #272; RMG #272
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #273; RMG #273
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(66)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #274; RMG #274
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(66)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #275; RMG #275
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #276; RMG #276
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(66)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #277; RMG #277
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #278; RMG #278
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(66)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #279; RMG #279
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(66)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #280; RMG #280
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(66)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #281; RMG #281
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(66)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #282; RMG #282
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(66)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #283; RMG #283
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(66)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #284; RMG #284
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]C(C)L(4), C9H17LR(66); C6H11R(56), C9H17LR(66);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]C(C)L(4)+C6H11R(56)<=>C9H17LR(66) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #285; RMG #285
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(66)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #286; RMG #286
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(66)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #287; RMG #287
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(66)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #288; RMG #288
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(66)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #289; RMG #289
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(66)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #290; RMG #290
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(66)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #291; RMG #291
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(66)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #292; RMG #292
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #293; RMG #293
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(66)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #294; RMG #294
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]R(14), C9H17LR(66); C8H15L(61), C9H17LR(66);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]R(14)+C8H15L(61)<=>C9H17LR(66) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #295; RMG #295
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(67)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #296; RMG #296
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #297; RMG #297
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #298; RMG #298
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(67)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #299; RMG #299
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #300; RMG #300
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(67)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #301; RMG #301
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(67)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #302; RMG #302
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #303; RMG #303
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(67)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #304; RMG #304
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #305; RMG #305
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(67)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #306; RMG #306
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(67)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #307; RMG #307
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(67)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #308; RMG #308
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(67)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #309; RMG #309
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(67)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #310; RMG #310
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(67)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #311; RMG #311
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(67)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #312; RMG #312
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(67)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #313; RMG #313
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(58), C9H17LR(67); C6H12L(11), C9H17LR(67);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5R(58)+C6H12L(11)<=>C9H17LR(67) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #314; RMG #314
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(67)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #315; RMG #315
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(67)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #316; RMG #316
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(67)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #317; RMG #317
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(67)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #318; RMG #318
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(67)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #319; RMG #319
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #320; RMG #320
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(67)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #321; RMG #321
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #322; RMG #322
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(68)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #323; RMG #323
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #324; RMG #324
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #325; RMG #325
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(68)<=>C[CH]CC(C)L(7)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #326; RMG #326
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #327; RMG #327
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(68)<=>C[CH]L(8)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #328; RMG #328
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(68)<=>C[CH]CR(10)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #329; RMG #329
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #330; RMG #330
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(68)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #331; RMG #331
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #332; RMG #332
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(68)<=>C8H16L(15)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #333; RMG #333
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(68)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #334; RMG #334
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(68)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #335; RMG #335
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(68)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #336; RMG #336
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(68)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #337; RMG #337
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(68)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #338; RMG #338
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(68)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #339; RMG #339
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(68)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #340; RMG #340
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(68)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #341; RMG #341
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(68)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #342; RMG #342
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(68)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #343; RMG #343
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(68)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #344; RMG #344
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(68)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #345; RMG #345
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #346; RMG #346
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(68)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #347; RMG #347
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]C(C)CR(6), C9H17LR(68); C5H9L(57), C9H17LR(68);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]C(C)CR(6)+C5H9L(57)<=>C9H17LR(68) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #348; RMG #348
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #349; RMG #349
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #350; RMG #350
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(69) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #351; RMG #351
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #352; RMG #352
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #353; RMG #353
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(69) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #354; RMG #354
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #355; RMG #355
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(69) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #356; RMG #356
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(69) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #357; RMG #357
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #358; RMG #358
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(69)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #359; RMG #359
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #360; RMG #360
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C8H16L(15), C8H17L(49);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(69) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #361; RMG #361
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(69)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #362; RMG #362
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(69)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #363; RMG #363
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(69)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #364; RMG #364
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(69)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #365; RMG #365
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(69)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #366; RMG #366
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(69)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #367; RMG #367
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(69)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #368; RMG #368
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(69)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #369; RMG #369
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(69)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #370; RMG #370
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(69)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #371; RMG #371
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(69)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #372; RMG #372
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(69)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #373; RMG #373
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20R(64)<=>C9H17LR(69)+RC10(2) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #374; RMG #374
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(69), C9H17LR(65);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(69)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 5.420000e-04 4.340 4.900
-
-! Reaction index: Chemkin #375; RMG #375
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C9H17LR(69); C[CH]CC(C)L(7), C9H17LR(69);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C[CH]CC(C)L(7)<=>C9H17LR(69) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #376; RMG #376
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(66)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #377; RMG #377
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(67)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #378; RMG #378
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(68)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #379; RMG #379
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(70)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #380; RMG #380
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(C)L(13), [CH2]C(C)L(4);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)L(13)+C9H17LR(70)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #381; RMG #381
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CR(20)+C9H17LR(70)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #382; RMG #382
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(70)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #383; RMG #383
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)CR(23)+C9H17LR(70)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #384; RMG #384
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(70)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #385; RMG #385
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(70)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #386; RMG #386
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)L(25), C6H12L(11);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)L(25)+C9H17LR(70)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #387; RMG #387
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(70)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #388; RMG #388
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(70); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(70) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #389; RMG #389
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(70)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #390; RMG #390
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(70)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #391; RMG #391
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(70)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #392; RMG #392
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), C9H17LR(70); C7H14R(9), C9H17LR(70);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C7H14R(9)<=>C9H17LR(70) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #393; RMG #393
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(70)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #394; RMG #394
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(70)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #395; RMG #395
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(70)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #396; RMG #396
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(70)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #397; RMG #397
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(70)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #398; RMG #398
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C9H17LR(70)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #399; RMG #399
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C9H17LR(70)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #400; RMG #400
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(70)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #401; RMG #401
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H14R(9)+C9H17LR(70)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #402; RMG #402
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C9H17LR(70)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #403; RMG #403
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #404; RMG #404
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #405; RMG #405
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #406; RMG #406
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #407; RMG #407
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(68);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #408; RMG #408
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #409; RMG #409
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(71)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #410; RMG #410
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(C)L(13), [CH2]C(C)L(4);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)L(13)+C9H17LR(71)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #411; RMG #411
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CR(20)+C9H17LR(71)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #412; RMG #412
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(71)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #413; RMG #413
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)CR(23)+C9H17LR(71)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #414; RMG #414
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(71)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #415; RMG #415
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(71)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #416; RMG #416
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)L(25), C6H12L(11);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)L(25)+C9H17LR(71)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #417; RMG #417
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(71)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #418; RMG #418
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(12), C9H17LR(71); C6H12L(11), C9H17LR(71);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5R(12)+C6H12L(11)<=>C9H17LR(71) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #419; RMG #419
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(71); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(71) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #420; RMG #420
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(71)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #421; RMG #421
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(71)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #422; RMG #422
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(71)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #423; RMG #423
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(71)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #424; RMG #424
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]R(14), C9H17LR(71); C8H15L(21), C9H17LR(71);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]R(14)+C8H15L(21)<=>C9H17LR(71) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #425; RMG #425
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(71)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #426; RMG #426
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(71)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #427; RMG #427
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(71)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #428; RMG #428
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(71)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #429; RMG #429
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C9H17LR(71)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #430; RMG #430
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C9H17LR(71)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #431; RMG #431
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(71)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #432; RMG #432
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H14R(9)+C9H17LR(71)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #433; RMG #433
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C9H17LR(71)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #434; RMG #434
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #435; RMG #435
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #436; RMG #436
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #437; RMG #437
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #438; RMG #438
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(68);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #439; RMG #439
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #440; RMG #440
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(70);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(70)+RC10L(1) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #441; RMG #441
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+RC10L(1)<=>CCCC(C)CR(32)+C9H17LR(72) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #442; RMG #442
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+RC10L(1)<=>CC(C)L(13)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #443; RMG #443
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+RC10L(1)<=>CC(C)CR(20)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #444; RMG #444
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+RC10L(1)<=>CCCC(C)L(16)+C9H17LR(72) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #445; RMG #445
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H14R(9)+RC10L(1)<=>CC(C)CC(C)CR(23)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #446; RMG #446
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+RC10L(1)<=>CCL(26)+C9H17LR(72) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #447; RMG #447
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+RC10L(1)<=>CCCR(27)+C9H17LR(72) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #448; RMG #448
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+RC10L(1)<=>CC(C)CC(C)L(25)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #449; RMG #449
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(72)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #450; RMG #450
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #451; RMG #451
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C8H16L(15), C8H17L(49);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H16L(15)+RC10L(1)<=>C8H17L(49)+C9H17LR(72) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #452; RMG #452
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(72)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #453; RMG #453
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(72)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #454; RMG #454
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(72)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #455; RMG #455
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(72)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #456; RMG #456
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(72)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #457; RMG #457
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(72)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #458; RMG #458
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(72)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #459; RMG #459
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C9H17LR(72)<=>C3H5L(59)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #460; RMG #460
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H17LR(72); C[CH]CC(C)CR(5), C9H17LR(72);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C[CH]CC(C)CR(5)<=>C9H17LR(72) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #461; RMG #461
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C9H17LR(72)<=>C4H7R(60)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #462; RMG #462
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(72)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #463; RMG #463
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C9H17LR(72)<=>C7H13R(62)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #464; RMG #464
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C9H17LR(72)<=>C6H11L(63)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #465; RMG #465
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); RC10L(1), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20R(64)<=>C9H17LR(72)+RC10(2) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #466; RMG #466
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(72), C9H17LR(65);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(72)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 5.420000e-04 4.340 4.900
-
-! Reaction index: Chemkin #467; RMG #467
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(66), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(66)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #468; RMG #468
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(67), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(67)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #469; RMG #469
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(68), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(68)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #470; RMG #470
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(72), C9H17LR(69);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(72)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 5.420000e-04 4.340 4.900
-
-! Reaction index: Chemkin #471; RMG #471
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(70), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(70)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #472; RMG #472
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(71), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(71)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #473; RMG #473
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C9H17LR(73)<=>C[CH]CC(C)CR(5)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #474; RMG #474
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(C)L(13), [CH2]C(C)L(4);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)L(13)+C9H17LR(73)<=>[CH2]C(C)L(4)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #475; RMG #475
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CR(20), [CH2]C(C)CR(6);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CR(20)+C9H17LR(73)<=>[CH2]C(C)CR(6)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #476; RMG #476
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C9H17LR(73)<=>C[CH]CC(C)L(7)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #477; RMG #477
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)CR(23), C7H14R(9);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)CR(23)+C9H17LR(73)<=>C7H14R(9)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #478; RMG #478
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C9H17LR(73)<=>C[CH]L(8)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #479; RMG #479
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C9H17LR(73)<=>C[CH]CR(10)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #480; RMG #480
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)L(25), C6H12L(11);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CC(C)L(25)+C9H17LR(73)<=>C6H12L(11)+RC10L(1) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #481; RMG #481
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H17LR(73)<=>C3H5R(12)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #482; RMG #482
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(73); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+RC10L(1)<=>CR(22)+C9H17LR(73) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #483; RMG #483
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C9H17LR(73)<=>C8H16L(15)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #484; RMG #484
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H17LR(73)<=>C6H11R(17)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #485; RMG #485
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]C(C)L(4), C9H17LR(73); C6H11R(17), C9H17LR(73);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]C(C)L(4)+C6H11R(17)<=>C9H17LR(73) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #486; RMG #486
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H17LR(73)<=>C2H3L(19)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #487; RMG #487
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H17LR(73)<=>C8H15L(21)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #488; RMG #488
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H17LR(73)<=>C5H9L(24)+RC10L(1) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #489; RMG #489
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]C(C)CR(6), C9H17LR(73); C5H9L(24), C9H17LR(73);
-! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]C(C)CR(6)+C5H9L(24)<=>C9H17LR(73) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #490; RMG #490
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H17LR(73)<=>C6H11R(56)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #491; RMG #491
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H17LR(73)<=>C5H9L(57)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #492; RMG #492
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H17LR(73)<=>C3H5R(58)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #493; RMG #493
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C9H17LR(73)<=>C3H5L(59)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #494; RMG #494
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C9H17LR(73)<=>C4H7R(60)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #495; RMG #495
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H17LR(73)<=>C8H15L(61)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #496; RMG #496
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H14R(9)+C9H17LR(73)<=>C7H13R(62)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #497; RMG #497
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C9H17LR(73)<=>C6H11L(63)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #498; RMG #498
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+RC10(2)<=>RC10L(1)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #499; RMG #499
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(65)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #500; RMG #500
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(66)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #501; RMG #501
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(67)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #502; RMG #502
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(68);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(68)+RC10L(1) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #503; RMG #503
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(69)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #504; RMG #504
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(70);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(70)+RC10L(1) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #505; RMG #505
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(71);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(71)+RC10L(1) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #506; RMG #506
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), RC10L(1); C9H17LR(73), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C9H17LR(73)+RC10L(1)<=>C9H17LR(72)+RC10L(1) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #507; RMG #507
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), [CH2]C(C)L(4); C2H3L(19), [CH2]C(C)L(4);
-! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C2H3L(19)<=>[CH2]C(C)L(4) 1.580000e+02 2.966 6.337
-
-! Reaction index: Chemkin #508; RMG #508
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), [CH2]C(C)CR(6); C3H5R(12), [CH2]C(C)CR(6);
-! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C3H5R(12)<=>[CH2]C(C)CR(6) 1.580000e+02 2.966 6.337
-
-! Reaction index: Chemkin #509; RMG #509
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C7H14R(9); C6H11R(17), C7H14R(9);
-! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C6H11R(17)<=>C7H14R(9) 1.580000e+02 2.966 6.337
-
-! Reaction index: Chemkin #510; RMG #510
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C6H12L(11); C5H9L(24), C6H12L(11);
-! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C5H9L(24)<=>C6H12L(11) 1.580000e+02 2.966 6.337
-
-! Reaction index: Chemkin #511; RMG #511
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(C)L(13); C[CH]L(8), CC(C)L(13);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C[CH]L(8)<=>CC(C)L(13) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #512; RMG #512
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(C)CR(20); C[CH]CR(10), CC(C)CR(20);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C[CH]CR(10)<=>CC(C)CR(20) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #513; RMG #513
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(C)CC(C)CR(23); C[CH]CC(C)CR(5), CC(C)CC(C)CR(23);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C[CH]CC(C)CR(5)<=>CC(C)CC(C)CR(23) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #514; RMG #514
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(C)CC(C)L(25); C[CH]CC(C)L(7), CC(C)CC(C)L(25);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C[CH]CC(C)L(7)<=>CC(C)CC(C)L(25) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #515; RMG #515
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); CH3(74), C(75);
-! From training reaction 953 used for C/H/Cs3;C_methyl
-! Exact match found for rate rule [C/H/Cs3;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(65) 1.130000e-02 4.340 7.690
-
-! Reaction index: Chemkin #516; RMG #516
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); CH3(74), C(75);
-! From training reaction 953 used for C/H/Cs3;C_methyl
-! Exact match found for rate rule [C/H/Cs3;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(69) 1.130000e-02 4.340 7.690
-
-! Reaction index: Chemkin #517; RMG #517
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(66) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #518; RMG #518
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(68) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #519; RMG #519
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); CH3(74), C(75);
-! From training reaction 953 used for C/H/Cs3;C_methyl
-! Exact match found for rate rule [C/H/Cs3;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(72) 1.130000e-02 4.340 7.690
-
-! Reaction index: Chemkin #520; RMG #520
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(73); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(73) 1.419000e+00 3.600 11.050
-
-! Reaction index: Chemkin #521; RMG #521
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(71); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(71) 1.419000e+00 3.600 11.050
-
-! Reaction index: Chemkin #522; RMG #522
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(67) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #523; RMG #523
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(70); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+RC10L(1)<=>C(75)+C9H17LR(70) 1.419000e+00 3.600 11.050
-
-! Reaction index: Chemkin #524; RMG #524
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+RC10(2)<=>C(75)+C10H20R(64) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #525; RMG #525
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+[CH2]C(C)CR(6)<=>C(75)+C4H7R(60) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #526; RMG #526
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #527; RMG #527
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(12) 1.225850e+27 -4.376 3.228
-
-! Reaction index: Chemkin #528; RMG #528
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+[CH2]C(C)L(4)<=>C(75)+C3H5L(59) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #529; RMG #529
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C2H3L(19); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C[CH]L(8)<=>C(75)+C2H3L(19) 1.225850e+27 -4.376 3.228
-
-! Reaction index: Chemkin #530; RMG #530
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+C6H12L(11)<=>C(75)+C6H11L(63) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #531; RMG #531
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+CC(C)L(13)<=>C(75)+[CH2]C(C)L(4) 2.838000e+00 3.600 11.050
-
-! Reaction index: Chemkin #532; RMG #532
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+CCCC(C)L(16)<=>C(75)+C[CH]CC(C)L(7) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #533; RMG #533
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+CC(C)CR(20)<=>C(75)+[CH2]C(C)CR(6) 2.838000e+00 3.600 11.050
-
-! Reaction index: Chemkin #534; RMG #534
-! Template reaction: H_Abstraction
-! Flux pairs: CR(22), C(75); CH3(74), [CH2]R(14);
-! Estimated using template [C/H3/Cs\OneNonDe;C_methyl] for rate rule [C/H3/Cs\H2\Cs;C_methyl]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+CR(22)<=>[CH2]R(14)+C(75) 2.000000e+00 3.570 7.717
-
-! Reaction index: Chemkin #535; RMG #535
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+CC(C)CC(C)CR(23)<=>C(75)+C7H14R(9) 2.838000e+00 3.600 11.050
-
-! Reaction index: Chemkin #536; RMG #536
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+CC(C)CC(C)L(25)<=>C(75)+C6H12L(11) 2.838000e+00 3.600 11.050
-
-! Reaction index: Chemkin #537; RMG #537
-! Template reaction: H_Abstraction
-! Flux pairs: CCL(26), C[CH]L(8); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+CCL(26)<=>C(75)+C[CH]L(8) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #538; RMG #538
-! Template reaction: H_Abstraction
-! Flux pairs: CCCR(27), C[CH]CR(10); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+CCCR(27)<=>C(75)+C[CH]CR(10) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #539; RMG #539
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+CCCC(C)CR(32)<=>C(75)+C[CH]CC(C)CR(5) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #540; RMG #540
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+C8H17L(49)<=>C(75)+C8H16L(15) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #541; RMG #541
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C10H20L(76)<=>C[CH]CC(C)CR(5)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #542; RMG #542
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+LC10(3)<=>CC(C)L(13)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #543; RMG #543
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+LC10(3)<=>CC(C)CR(20)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #544; RMG #544
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C10H20L(76)<=>C[CH]CC(C)L(7)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #545; RMG #545
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+LC10(3)<=>CC(C)CC(C)CR(23)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #546; RMG #546
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C10H20L(76)<=>C[CH]L(8)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #547; RMG #547
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C10H20L(76)<=>C[CH]CR(10)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #548; RMG #548
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+LC10(3)<=>CC(C)CC(C)L(25)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #549; RMG #549
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H20L(76)<=>C3H5R(12)+LC10(3) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #550; RMG #550
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+LC10(3)<=>CR(22)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #551; RMG #551
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C8H17L(49)+C10H20L(76)<=>C8H16L(15)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #552; RMG #552
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H20L(76)<=>C6H11R(17)+LC10(3) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #553; RMG #553
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H20L(76)<=>C2H3L(19)+LC10(3) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #554; RMG #554
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H20L(76)<=>C8H15L(21)+LC10(3) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #555; RMG #555
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H20L(76)<=>C5H9L(24)+LC10(3) 1.225850e+27 -4.376 4.138
-
-! Reaction index: Chemkin #556; RMG #556
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H20L(76)<=>C6H11R(56)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #557; RMG #557
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H20L(76)<=>C5H9L(57)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #558; RMG #558
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H20L(76)<=>C3H5R(58)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #559; RMG #559
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C10H20L(76)<=>C3H5L(59)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #560; RMG #560
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C10H20L(76)<=>C4H7R(60)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #561; RMG #561
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H20L(76)<=>C8H15L(61)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #562; RMG #562
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C10H20L(76)<=>C7H13R(62)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #563; RMG #563
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C10H20L(76)<=>C6H11L(63)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #564; RMG #564
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), LC10(3); C10H20L(76), C10H20R(64);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C10H20L(76)+RC10(2)<=>C10H20R(64)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #565; RMG #565
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(65)+LC10(3) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #566; RMG #566
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(66)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #567; RMG #567
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(67)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #568; RMG #568
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(68);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(68)+LC10(3) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #569; RMG #569
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #570; RMG #570
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(69)+LC10(3) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #571; RMG #571
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #572; RMG #572
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+LC10(3)<=>RC10L(1)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #573; RMG #573
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+LC10(3)<=>C(75)+C10H20L(76) 1.606000e-02 4.340 6.610
-
-! Reaction index: Chemkin #574; RMG #574
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); RC10L(1), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H20L(76)<=>C9H17LR(72)+LC10(3) 1.277120e-04 4.473 6.257
-
-! Reaction index: Chemkin #575; RMG #575
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(17) 1.225850e+27 -4.376 3.114
-
-! Reaction index: Chemkin #576; RMG #576
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C8H16L(15)<=>C(75)+C8H15L(21) 1.225850e+27 -4.376 3.114
-
-! Reaction index: Chemkin #577; RMG #577
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(24) 1.225850e+27 -4.376 3.114
-
-! Reaction index: Chemkin #578; RMG #578
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(56) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #579; RMG #579
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C[CH]CC(C)CR(5)<=>C(75)+C6H11R(56) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #580; RMG #580
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(57) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #581; RMG #581
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C[CH]CC(C)L(7)<=>C(75)+C5H9L(57) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #582; RMG #582
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #583; RMG #583
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C[CH]CR(10)<=>C(75)+C3H5R(58) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #584; RMG #584
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C8H16L(15)<=>C(75)+C8H15L(61) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #585; RMG #585
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C8H16L(15)<=>C(75)+C8H15L(61) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #586; RMG #586
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+C7H14R(9)<=>C(75)+C7H13R(62) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #587; RMG #587
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C5H9L(57)<=>CCCR(27)+C5H8L(77) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #588; RMG #588
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H9L(57)<=>CC(C)L(13)+C5H8L(77) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #589; RMG #589
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C5H9L(57)<=>CCL(26)+C5H8L(77) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #590; RMG #590
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H8L(77)<=>C3H5R(12)+C5H9L(57) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #591; RMG #591
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C5H9L(57)<=>CR(22)+C5H8L(77) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #592; RMG #592
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(17) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #593; RMG #593
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H8L(77)<=>C2H3L(19)+C5H9L(57) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #594; RMG #594
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H16L(15)<=>C5H9L(57)+C8H15L(21) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #595; RMG #595
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(77), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #596; RMG #596
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #597; RMG #597
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #598; RMG #598
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H8L(77)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #599; RMG #599
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C5H8L(77)<=>C3H5L(59)+C5H9L(57) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #600; RMG #600
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C5H8L(77)<=>C4H7R(60)+C5H9L(57) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #601; RMG #601
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H9L(57)<=>CC(C)CR(20)+C5H8L(77) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #602; RMG #602
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C[CH]CC(C)L(7)<=>C5H8L(77)+CCCC(C)L(16) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #603; RMG #603
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C8H16L(15)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #604; RMG #604
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C7H14R(9)<=>C5H9L(57)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #605; RMG #605
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C6H12L(11)<=>C5H9L(57)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #606; RMG #606
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C10H20R(64)<=>C5H8L(77)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #607; RMG #607
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C5H9L(57), C5H8L(77);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(65)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #608; RMG #608
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C[CH]CC(C)CR(5)<=>C5H8L(77)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #609; RMG #609
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C7H14R(9)<=>C5H8L(77)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #610; RMG #610
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H12L(11)<=>C5H8L(77)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #611; RMG #611
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(66)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #612; RMG #612
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(67)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #613; RMG #613
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(68)<=>C5H8L(77)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #614; RMG #614
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C8H16L(15)<=>C5H8L(77)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #615; RMG #615
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C5H9L(57), C5H8L(77);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(69)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #616; RMG #616
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(70)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #617; RMG #617
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(71)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #618; RMG #618
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C5H9L(57), C5H8L(77);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(72)<=>C5H8L(77)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #619; RMG #619
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(73)<=>C5H8L(77)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #620; RMG #620
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C5H9L(57)<=>C(75)+C5H8L(77) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #621; RMG #621
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C10H20L(76)<=>C5H8L(77)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #622; RMG #622
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+[CH2]C(C)CR(6)<=>C3H4R(78)+CC(C)CR(20) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #623; RMG #623
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CR(10), CCCR(27); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C[CH]CR(10)<=>C3H4R(78)+CCCR(27) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #624; RMG #624
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C[CH]CC(C)CR(5)<=>C3H4R(78)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #625; RMG #625
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+[CH2]C(C)L(4)<=>C3H4R(78)+CC(C)L(13) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #626; RMG #626
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C7H14R(9)<=>C3H4R(78)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #627; RMG #627
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C[CH]CC(C)L(7)<=>C3H4R(78)+CCCC(C)L(16) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #628; RMG #628
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(12), C3H4R(78); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C3H5R(12)<=>CCL(26)+C3H4R(78) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #629; RMG #629
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C6H12L(11)<=>C3H4R(78)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #630; RMG #630
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(12) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #631; RMG #631
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(12), C3H4R(78); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C3H5R(12)<=>CR(22)+C3H4R(78) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #632; RMG #632
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C8H16L(15)<=>C3H4R(78)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #633; RMG #633
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(12)+C6H11R(17) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #634; RMG #634
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C3H5R(12); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C3H4R(78)<=>C2H3L(19)+C3H5R(12) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #635; RMG #635
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C8H16L(15)<=>C3H5R(12)+C8H15L(21) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #636; RMG #636
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(12)+C5H9L(24) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #637; RMG #637
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(12)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #638; RMG #638
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+[CH2]C(C)CR(6)<=>C3H4R(78)+CC(C)CR(20) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #639; RMG #639
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CR(10), CCCR(27); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C[CH]CR(10)<=>C3H4R(78)+CCCR(27) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #640; RMG #640
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C[CH]CC(C)CR(5)<=>C3H4R(78)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #641; RMG #641
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+[CH2]C(C)L(4)<=>C3H4R(78)+CC(C)L(13) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #642; RMG #642
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C7H14R(9)<=>C3H4R(78)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #643; RMG #643
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C[CH]CC(C)L(7)<=>C3H4R(78)+CCCC(C)L(16) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #644; RMG #644
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H4R(78); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C3H5R(58)<=>CCL(26)+C3H4R(78) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #645; RMG #645
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C6H12L(11)<=>C3H4R(78)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #646; RMG #646
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(12)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #647; RMG #647
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #648; RMG #648
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.225850e+27 -4.376 6.263
-DUPLICATE
-
-! Reaction index: Chemkin #649; RMG #649
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H4R(78); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C3H5R(58)<=>CR(22)+C3H4R(78) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #650; RMG #650
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(58)+C6H11R(17) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #651; RMG #651
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C3H5R(58); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C3H4R(78)<=>C2H3L(19)+C3H5R(58) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #652; RMG #652
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C8H16L(15)<=>C3H5R(58)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #653; RMG #653
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(58)+C5H9L(24) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #654; RMG #654
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CC(C)CR(5)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #655; RMG #655
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CC(C)L(7)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #656; RMG #656
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(58)+C3H5R(58) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #657; RMG #657
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5R(12); C3H4R(78), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5R(12) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #658; RMG #658
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5R(58); C3H4R(78), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5R(58) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #659; RMG #659
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+[CH2]C(C)CR(6)<=>C3H5R(12)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #660; RMG #660
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+[CH2]C(C)CR(6)<=>C3H5R(58)+C4H7R(60) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #661; RMG #661
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C8H16L(15)<=>C3H5R(12)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #662; RMG #662
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C8H16L(15)<=>C3H5R(58)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #663; RMG #663
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+C7H14R(9)<=>C3H5R(12)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #664; RMG #664
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+C7H14R(9)<=>C3H5R(58)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #665; RMG #665
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+C6H12L(11)<=>C3H5R(12)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #666; RMG #666
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+C6H12L(11)<=>C3H5R(58)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #667; RMG #667
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C10H20R(64)<=>C3H4R(78)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #668; RMG #668
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C10H20R(64)<=>C3H4R(78)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #669; RMG #669
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C3H4R(78), C3H5R(12);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #670; RMG #670
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C8H16L(15)<=>C3H4R(78)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #671; RMG #671
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C3H4R(78), C3H5R(58);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #672; RMG #672
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(66)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #673; RMG #673
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(66)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #674; RMG #674
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(67)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #675; RMG #675
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(67)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #676; RMG #676
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(68)<=>C3H4R(78)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #677; RMG #677
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(68)<=>C3H4R(78)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #678; RMG #678
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C3H4R(78), C3H5R(58);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #679; RMG #679
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(70)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #680; RMG #680
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(70)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #681; RMG #681
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C3H4R(78), C3H5R(12);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #682; RMG #682
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(71)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #683; RMG #683
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(71)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #684; RMG #684
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C3H4R(78), C3H5R(12);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(12)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #685; RMG #685
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C3H4R(78), C3H5R(58);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+RC10L(1)<=>C3H5R(58)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #686; RMG #686
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C9H17LR(73)<=>C3H4R(78)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #687; RMG #687
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C9H17LR(73)<=>C3H4R(78)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #688; RMG #688
-! Template reaction: H_Abstraction
-! Flux pairs: C3H4R(78), C3H5R(12); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C3H4R(78)<=>CH3(74)+C3H5R(12) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #689; RMG #689
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H4R(78); CH3(74), C(75);
-! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C3H5R(58)<=>C(75)+C3H4R(78) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #690; RMG #690
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C10H20L(76)<=>C3H4R(78)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #691; RMG #691
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C10H20L(76)<=>C3H4R(78)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #692; RMG #692
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C5H9L(57)<=>C3H5R(12)+C5H8L(77) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #693; RMG #693
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C5H9L(57)<=>C3H5R(58)+C5H8L(77) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #694; RMG #694
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(12), C3H5R(58); C3H4R(78), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C3H5R(12)<=>C3H4R(78)+C3H5R(58) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #695; RMG #695
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C4H7R(60)<=>CCCR(27)+C4H6R(79) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #696; RMG #696
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C4H7R(60)<=>CC(C)L(13)+C4H6R(79) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #697; RMG #697
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C4H7R(60)<=>CCL(26)+C4H6R(79) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #698; RMG #698
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C4H6R(79)<=>C3H5R(12)+C4H7R(60) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #699; RMG #699
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C4H7R(60)<=>CR(22)+C4H6R(79) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #700; RMG #700
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(17) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #701; RMG #701
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C4H6R(79)<=>C2H3L(19)+C4H7R(60) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #702; RMG #702
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C8H16L(15)<=>C4H7R(60)+C8H15L(21) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #703; RMG #703
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(24) 1.225850e+27 -4.376 6.739
-
-! Reaction index: Chemkin #704; RMG #704
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #705; RMG #705
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #706; RMG #706
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C4H6R(79)<=>C3H5R(58)+C4H7R(60) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #707; RMG #707
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C4H6R(79)<=>C3H5L(59)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #708; RMG #708
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #709; RMG #709
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+C7H14R(9)<=>C4H7R(60)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #710; RMG #710
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+C6H12L(11)<=>C4H7R(60)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #711; RMG #711
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C10H20R(64)<=>C4H6R(79)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #712; RMG #712
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C[CH]CC(C)L(7)<=>C4H6R(79)+CCCC(C)L(16) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #713; RMG #713
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C8H16L(15)<=>C4H7R(60)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #714; RMG #714
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C4H6R(79), C4H7R(60);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #715; RMG #715
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+[CH2]C(C)CR(6)<=>C4H6R(79)+CC(C)CR(20) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #716; RMG #716
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C[CH]CC(C)CR(5)<=>C4H6R(79)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #717; RMG #717
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C7H14R(9)<=>C4H6R(79)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #718; RMG #718
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C6H12L(11)<=>C4H6R(79)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #719; RMG #719
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C8H16L(15)<=>C4H6R(79)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #720; RMG #720
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(66)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #721; RMG #721
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(67)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #722; RMG #722
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(68)<=>C4H6R(79)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #723; RMG #723
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C4H6R(79), C4H7R(60);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #724; RMG #724
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(70)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #725; RMG #725
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(71)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #726; RMG #726
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C4H6R(79), C4H7R(60);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+RC10L(1)<=>C4H7R(60)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #727; RMG #727
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(73)<=>C4H6R(79)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #728; RMG #728
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C4H6R(79)<=>CH3(74)+C4H7R(60) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #729; RMG #729
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C10H20L(76)<=>C4H6R(79)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #730; RMG #730
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C5H9L(57)<=>C4H7R(60)+C5H8L(77) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #731; RMG #731
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C4H6R(79)<=>C3H4R(78)+C4H7R(60) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #732; RMG #732
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C4H7R(60)<=>C3H5R(58)+C4H6R(79) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #733; RMG #733
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #734; RMG #734
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C[CH]CR(10)<=>C3H5R(12)+C3H5R(58) 1.225850e+27 -4.376 6.263
-DUPLICATE
-
-! Reaction index: Chemkin #735; RMG #735
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C[C]1CC1R(80);
-! Estimated from node Backbone0
-C4H6R(79)<=>C[C]1CC1R(80) 1.014560e+05 2.304 30.041
-
-! Reaction index: Chemkin #736; RMG #736
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(65)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #737; RMG #737
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(69)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #738; RMG #738
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(66)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #739; RMG #739
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(68)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #740; RMG #740
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(72)<=>C4H6R(79)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #741; RMG #741
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(73)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #742; RMG #742
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(71)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #743; RMG #743
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(67)<=>C4H6R(79)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #744; RMG #744
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C9H17LR(70)<=>C4H6R(79)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #745; RMG #745
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C10H20R(64)<=>C4H6R(79)+RC10(2) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #746; RMG #746
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C10H20L(76)<=>C4H6R(79)+LC10(3) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #747; RMG #747
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C4H6R(79)<=>C3H5R(58)+C4H7R(81) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #748; RMG #748
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C4H6R(79)<=>C3H5R(12)+C4H7R(81) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #749; RMG #749
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C4H6R(79)<=>C2H3L(19)+C4H7R(81) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #750; RMG #750
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(81); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C4H6R(79)<=>C3H4R(78)+C4H7R(81) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #751; RMG #751
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C4H7R(81)<=>CC(C)L(13)+C4H6R(79) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #752; RMG #752
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C[CH]CC(C)L(7)<=>C4H6R(79)+CCCC(C)L(16) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #753; RMG #753
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+[CH2]C(C)CR(6)<=>C4H6R(79)+CC(C)CR(20) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #754; RMG #754
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+C4H7R(81)<=>CR(22)+C4H6R(79) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #755; RMG #755
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C7H14R(9)<=>C4H6R(79)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #756; RMG #756
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C6H12L(11)<=>C4H6R(79)+CC(C)CC(C)L(25) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #757; RMG #757
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]L(8)+C4H7R(81)<=>CCL(26)+C4H6R(79) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #758; RMG #758
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CR(10)+C4H7R(81)<=>CCCR(27)+C4H6R(79) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #759; RMG #759
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C[CH]CC(C)CR(5)<=>C4H6R(79)+CCCC(C)CR(32) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #760; RMG #760
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C8H16L(15)<=>C4H6R(79)+C8H17L(49) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #761; RMG #761
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C5H9L(57)<=>C4H7R(81)+C5H8L(77) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #762; RMG #762
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4R(78)+C4H7R(81)<=>C3H5R(58)+C4H6R(79) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #763; RMG #763
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H7R(81); C4H6R(79), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C4H7R(60)<=>C4H6R(79)+C4H7R(81) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #764; RMG #764
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+C4H7R(81)<=>C(75)+C4H6R(79) 1.350560e-01 4.253 7.537
-
-! Reaction index: Chemkin #765; RMG #765
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(81)+C6H11R(17) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #766; RMG #766
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C8H16L(15)<=>C4H7R(81)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #767; RMG #767
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(81)+C5H9L(24) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #768; RMG #768
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C[CH]CC(C)CR(5)<=>C4H7R(81)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #769; RMG #769
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C[CH]CC(C)L(7)<=>C4H7R(81)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #770; RMG #770
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C4H6R(79)<=>C3H5L(59)+C4H7R(81) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #771; RMG #771
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(81); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(81) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #772; RMG #772
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C8H16L(15)<=>C4H7R(81)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #773; RMG #773
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+C7H14R(9)<=>C4H7R(81)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #774; RMG #774
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+C6H12L(11)<=>C4H7R(81)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #775; RMG #775
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(65), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C9H17LR(65)<=>RC10L(1) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #776; RMG #776
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(69), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C9H17LR(69)<=>RC10L(1) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #777; RMG #777
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(66), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C9H17LR(66)<=>RC10L(1) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #778; RMG #778
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(68), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C9H17LR(68)<=>RC10L(1) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #779; RMG #779
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(72), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C9H17LR(72)<=>RC10L(1) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #780; RMG #780
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(73), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C9H17LR(73)<=>RC10L(1) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #781; RMG #781
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(71), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C9H17LR(71)<=>RC10L(1) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #782; RMG #782
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(67), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C9H17LR(67)<=>RC10L(1) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #783; RMG #783
-! Library reaction: restart
-! Flux pairs: H(82), RC10L(1); C9H17LR(70), RC10L(1);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C9H17LR(70)<=>RC10L(1) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #784; RMG #784
-! Library reaction: restart
-! Flux pairs: H(82), RC10(2); C10H20R(64), RC10(2);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C10H20R(64)<=>RC10(2) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #785; RMG #785
-! Library reaction: restart
-! Flux pairs: H(82), LC10(3); C10H20L(76), LC10(3);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C10H20L(76)<=>LC10(3) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #786; RMG #786
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CC(C)CR(5); C6H11R(56), C[CH]CC(C)CR(5);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H11R(56)<=>C[CH]CC(C)CR(5) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #787; RMG #787
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CC(C)CR(5); C6H11R(17), C[CH]CC(C)CR(5);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H11R(17)<=>C[CH]CC(C)CR(5) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #788; RMG #788
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), [CH2]C(C)L(4); C3H5L(59), [CH2]C(C)L(4);
-! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C3H5L(59)<=>[CH2]C(C)L(4) 5.075180e+03 2.822 -1.156
-
-! Reaction index: Chemkin #789; RMG #789
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), [CH2]C(C)CR(6); C4H7R(60), [CH2]C(C)CR(6);
-! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C4H7R(60)<=>[CH2]C(C)CR(6) 5.075180e+03 2.822 -1.156
-
-! Reaction index: Chemkin #790; RMG #790
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CC(C)L(7); C5H9L(57), C[CH]CC(C)L(7);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C5H9L(57)<=>C[CH]CC(C)L(7) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #791; RMG #791
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CC(C)L(7); C5H9L(24), C[CH]CC(C)L(7);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C5H9L(24)<=>C[CH]CC(C)L(7) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #792; RMG #792
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C7H14R(9); C7H13R(62), C7H14R(9);
-! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C7H13R(62)<=>C7H14R(9) 5.075180e+03 2.822 -1.156
-
-! Reaction index: Chemkin #793; RMG #793
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]L(8); C2H3L(19), C[CH]L(8);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C2H3L(19)<=>C[CH]L(8) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #794; RMG #794
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CR(10); C3H5R(58), C[CH]CR(10);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C3H5R(58)<=>C[CH]CR(10) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #795; RMG #795
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]CR(10); C3H5R(12), C[CH]CR(10);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C3H5R(12)<=>C[CH]CR(10) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #796; RMG #796
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H12L(11); C6H11L(63), C6H12L(11);
-! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H11L(63)<=>C6H12L(11) 5.075180e+03 2.822 -1.156
-
-! Reaction index: Chemkin #797; RMG #797
-! Library reaction: restart
-! Flux pairs: H(82), C3H5R(12); C3H4R(78), C3H5R(12);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C3H4R(78)<=>C3H5R(12) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #798; RMG #798
-! Library reaction: restart
-! Flux pairs: H(82), CC(C)L(13); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+[CH2]C(C)L(4)<=>CC(C)L(13) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #799; RMG #799
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C8H16L(15); C8H15L(61), C8H16L(15);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C8H15L(61)<=>C8H16L(15) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #800; RMG #800
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C8H16L(15); C8H15L(21), C8H16L(15);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C8H15L(21)<=>C8H16L(15) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #801; RMG #801
-! Library reaction: restart
-! Flux pairs: H(82), CCCC(C)L(16); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C[CH]CC(C)L(7)<=>CCCC(C)L(16) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #802; RMG #802
-! Library reaction: restart
-! Flux pairs: H(82), CC(C)CR(20); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+[CH2]C(C)CR(6)<=>CC(C)CR(20) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #803; RMG #803
-! Library reaction: restart
-! Flux pairs: H(82), CR(22); [CH2]R(14), CR(22);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+[CH2]R(14)<=>CR(22) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #804; RMG #804
-! Library reaction: restart
-! Flux pairs: H(82), CC(C)CC(C)CR(23); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C7H14R(9)<=>CC(C)CC(C)CR(23) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #805; RMG #805
-! Library reaction: restart
-! Flux pairs: H(82), CC(C)CC(C)L(25); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C6H12L(11)<=>CC(C)CC(C)L(25) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #806; RMG #806
-! Library reaction: restart
-! Flux pairs: H(82), CCL(26); C[CH]L(8), CCL(26);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C[CH]L(8)<=>CCL(26) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #807; RMG #807
-! Library reaction: restart
-! Flux pairs: H(82), CCCR(27); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C[CH]CR(10)<=>CCCR(27) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #808; RMG #808
-! Library reaction: restart
-! Flux pairs: H(82), CCCC(C)CR(32); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C[CH]CC(C)CR(5)<=>CCCC(C)CR(32) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #809; RMG #809
-! Library reaction: restart
-! Flux pairs: H(82), C8H17L(49); C8H16L(15), C8H17L(49);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
-H(82)+C8H16L(15)<=>C8H17L(49) 1.766370e+13 0.153 0.000
-
-! Reaction index: Chemkin #810; RMG #810
-! Library reaction: restart
-! Flux pairs: H(82), C5H9L(57); C5H8L(77), C5H9L(57);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R
-H(82)+C5H8L(77)<=>C5H9L(57) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #811; RMG #811
-! Library reaction: restart
-! Flux pairs: H(82), C3H5R(58); C3H4R(78), C3H5R(58);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C3H4R(78)<=>C3H5R(58) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #812; RMG #812
-! Library reaction: restart
-! Flux pairs: H(82), C4H7R(60); C4H6R(79), C4H7R(60);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C4H6R(79)<=>C4H7R(60) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #813; RMG #813
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C(75); CH3(74), C(75);
-! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O]
-! family: R_Recombination
-H(82)+CH3(74)<=>C(75) 1.930000e+14 0.000 0.270
-
-! Reaction index: Chemkin #814; RMG #814
-! Library reaction: restart
-! Flux pairs: H(82), C4H7R(81); C4H6R(79), C4H7R(81);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C4H6R(79)<=>C4H7R(81) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #815; RMG #815
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); H(82), [H][H](83);
-! From training reaction 952 used for C/H/Cs3;H_rad
-! Exact match found for rate rule [C/H/Cs3;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(65) 4.760000e-01 4.340 2.000
-
-! Reaction index: Chemkin #816; RMG #816
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); H(82), [H][H](83);
-! From training reaction 952 used for C/H/Cs3;H_rad
-! Exact match found for rate rule [C/H/Cs3;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(69) 4.760000e-01 4.340 2.000
-
-! Reaction index: Chemkin #817; RMG #817
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(66) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #818; RMG #818
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(68) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #819; RMG #819
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); H(82), [H][H](83);
-! From training reaction 952 used for C/H/Cs3;H_rad
-! Exact match found for rate rule [C/H/Cs3;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(72) 4.760000e-01 4.340 2.000
-
-! Reaction index: Chemkin #820; RMG #820
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(73); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(73) 5.670000e+06 2.210 7.500
-
-! Reaction index: Chemkin #821; RMG #821
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(71); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(71) 5.670000e+06 2.210 7.500
-
-! Reaction index: Chemkin #822; RMG #822
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(67) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #823; RMG #823
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(70); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+RC10L(1)<=>[H][H](83)+C9H17LR(70) 5.670000e+06 2.210 7.500
-
-! Reaction index: Chemkin #824; RMG #824
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+RC10(2)<=>[H][H](83)+C10H20R(64) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #825; RMG #825
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+LC10(3)<=>[H][H](83)+C10H20L(76) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #826; RMG #826
-! Template reaction: H_Abstraction
-! Flux pairs: C3H4R(78), C3H5R(12); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C3H4R(78)<=>H(82)+C3H5R(12) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #827; RMG #827
-! Template reaction: H_Abstraction
-! Flux pairs: CR(22), [CH2]R(14); H(82), [H][H](83);
-! Estimated using average of templates [C/H3/Cs\OneNonDe;H_rad] + [C/H3/Cs\H2\Cs;Y_rad] for rate rule [C/H3/Cs\H2\Cs;H_rad]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+CR(22)<=>[H][H](83)+[CH2]R(14) 8.319120e+03 2.718 6.496
-
-! Reaction index: Chemkin #828; RMG #828
-! Template reaction: H_Abstraction
-! Flux pairs: CCL(26), C[CH]L(8); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+CCL(26)<=>[H][H](83)+C[CH]L(8) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #829; RMG #829
-! Template reaction: H_Abstraction
-! Flux pairs: CCCR(27), C[CH]CR(10); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+CCCR(27)<=>[H][H](83)+C[CH]CR(10) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #830; RMG #830
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C5H9L(57)<=>[H][H](83)+C5H8L(77) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #831; RMG #831
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H4R(78); H(82), [H][H](83);
-! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C3H5R(58)<=>[H][H](83)+C3H4R(78) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #832; RMG #832
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C4H6R(79)<=>H(82)+C4H7R(60) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #833; RMG #833
-! Template reaction: H_Abstraction
-! Flux pairs: C(75), CH3(74); H(82), [H][H](83);
-! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training
-! This reaction matched rate rule [C_methane;H_rad]
-! family: H_Abstraction
-H(82)+C(75)<=>[H][H](83)+CH3(74) 4.100000e+03 3.156 8.755
-
-! Reaction index: Chemkin #834; RMG #834
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+C4H7R(81)<=>[H][H](83)+C4H6R(79) 6.100680e+03 3.153 4.317
-
-! Reaction index: Chemkin #835; RMG #835
-! Template reaction: R_Recombination
-! Flux pairs: H(82), [H][H](83); H(82), [H][H](83);
-! Matched reaction 56 H + H <=> H2 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H]
-! family: R_Recombination
-H(82)+H(82)<=>[H][H](83) 5.450000e+10 0.000 1.500
-
-! Reaction index: Chemkin #836; RMG #836
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+CC(C)CR(20)<=>[H][H](83)+[CH2]C(C)CR(6) 1.134000e+07 2.210 7.500
-
-! Reaction index: Chemkin #837; RMG #837
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+CCCC(C)CR(32)<=>[H][H](83)+C[CH]CC(C)CR(5) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #838; RMG #838
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)L(13), [CH2]C(C)L(4); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+CC(C)L(13)<=>[H][H](83)+[CH2]C(C)L(4) 1.134000e+07 2.210 7.500
-
-! Reaction index: Chemkin #839; RMG #839
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+CC(C)CC(C)CR(23)<=>[H][H](83)+C7H14R(9) 1.134000e+07 2.210 7.500
-
-! Reaction index: Chemkin #840; RMG #840
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+CCCC(C)L(16)<=>[H][H](83)+C[CH]CC(C)L(7) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #841; RMG #841
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+CC(C)CC(C)L(25)<=>[H][H](83)+C6H12L(11) 1.134000e+07 2.210 7.500
-
-! Reaction index: Chemkin #842; RMG #842
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C[CH]CR(10)<=>[H][H](83)+C3H5R(12) 1.225850e+27 -4.376 3.356
-
-! Reaction index: Chemkin #843; RMG #843
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+C8H17L(49)<=>[H][H](83)+C8H16L(15) 6.382500e+01 3.680 4.700
-
-! Reaction index: Chemkin #844; RMG #844
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C[CH]CC(C)CR(5)<=>[H][H](83)+C6H11R(17) 1.225850e+27 -4.376 3.239
-
-! Reaction index: Chemkin #845; RMG #845
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C2H3L(19); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C[CH]L(8)<=>[H][H](83)+C2H3L(19) 1.225850e+27 -4.376 3.356
-
-! Reaction index: Chemkin #846; RMG #846
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C8H16L(15)<=>[H][H](83)+C8H15L(21) 1.225850e+27 -4.376 3.239
-
-! Reaction index: Chemkin #847; RMG #847
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C[CH]CC(C)L(7)<=>[H][H](83)+C5H9L(24) 1.225850e+27 -4.376 3.239
-
-! Reaction index: Chemkin #848; RMG #848
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C[CH]CC(C)CR(5)<=>[H][H](83)+C6H11R(56) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #849; RMG #849
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C[CH]CC(C)L(7)<=>[H][H](83)+C5H9L(57) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #850; RMG #850
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C[CH]CR(10)<=>[H][H](83)+C3H5R(58) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #851; RMG #851
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C
-H(82)+[CH2]C(C)L(4)<=>[H][H](83)+C3H5L(59) 4.559710e+12 -0.222 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #852; RMG #852
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+[CH2]C(C)L(4)<=>[H][H](83)+C3H5L(59) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #853; RMG #853
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C
-H(82)+[CH2]C(C)CR(6)<=>[H][H](83)+C4H7R(60) 4.559710e+12 -0.222 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #854; RMG #854
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+[CH2]C(C)CR(6)<=>[H][H](83)+C4H7R(60) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #855; RMG #855
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C8H16L(15)<=>[H][H](83)+C8H15L(61) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #856; RMG #856
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C
-H(82)+C7H14R(9)<=>[H][H](83)+C7H13R(62) 4.559710e+12 -0.222 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #857; RMG #857
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+C7H14R(9)<=>[H][H](83)+C7H13R(62) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #858; RMG #858
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C
-H(82)+C6H12L(11)<=>[H][H](83)+C6H11L(63) 4.559710e+12 -0.222 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #859; RMG #859
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+C6H12L(11)<=>[H][H](83)+C6H11L(63) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #860; RMG #860
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(77), C5H9L(84);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #861; RMG #861
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(77), C5H9L(84);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #862; RMG #862
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(66)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #863; RMG #863
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(68)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #864; RMG #864
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(77), C5H9L(84);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+RC10L(1)<=>C5H9L(84)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #865; RMG #865
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(73)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #866; RMG #866
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(71)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #867; RMG #867
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(67)<=>C5H8L(77)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #868; RMG #868
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C9H17LR(70)<=>C5H8L(77)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #869; RMG #869
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C10H20R(64)<=>C5H8L(77)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #870; RMG #870
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C10H20L(76)<=>C5H8L(77)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #871; RMG #871
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H8L(77)<=>C3H5R(58)+C5H9L(84) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #872; RMG #872
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H8L(77)<=>C3H5R(12)+C5H9L(84) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #873; RMG #873
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H8L(77)<=>C2H3L(19)+C5H9L(84) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #874; RMG #874
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C5H8L(77)<=>C3H4R(78)+C5H9L(84) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #875; RMG #875
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H9L(84)<=>CC(C)L(13)+C5H8L(77) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #876; RMG #876
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C[CH]CC(C)L(7)<=>C5H8L(77)+CCCC(C)L(16) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #877; RMG #877
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H9L(84)<=>CC(C)CR(20)+C5H8L(77) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #878; RMG #878
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C5H9L(84)<=>CR(22)+C5H8L(77) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #879; RMG #879
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C7H14R(9)<=>C5H8L(77)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #880; RMG #880
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C6H12L(11)<=>C5H8L(77)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #881; RMG #881
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C5H9L(84)<=>CCL(26)+C5H8L(77) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #882; RMG #882
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H9L(84)<=>CCCR(27)+C5H8L(77) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #883; RMG #883
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C[CH]CC(C)CR(5)<=>C5H8L(77)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #884; RMG #884
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C8H16L(15)<=>C5H8L(77)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #885; RMG #885
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H9L(84); C5H8L(77), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C5H9L(57)<=>C5H8L(77)+C5H9L(84) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #886; RMG #886
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C5H9L(84)<=>C3H5R(58)+C5H8L(77) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #887; RMG #887
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C5H8L(77)<=>C4H6R(79)+C5H9L(84) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #888; RMG #888
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C5H8L(77)<=>CH3(74)+C5H9L(84) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #889; RMG #889
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C5H9L(84)<=>C4H7R(81)+C5H8L(77) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #890; RMG #890
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C5H8L(77)<=>H(82)+C5H9L(84) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #891; RMG #891
-! Library reaction: restart
-! Flux pairs: H(82), C5H9L(84); C5H8L(77), C5H9L(84);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R
-H(82)+C5H8L(77)<=>C5H9L(84) 1.803320e+13 0.128 0.000
-
-! Reaction index: Chemkin #892; RMG #892
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(84)+C6H11R(17) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #893; RMG #893
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H16L(15)<=>C5H9L(84)+C8H15L(21) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #894; RMG #894
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(84); C5H8L(77), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(84) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #895; RMG #895
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H9L(84)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #896; RMG #896
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(84); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(84) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #897; RMG #897
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C5H8L(77)<=>C3H5L(59)+C5H9L(84) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #898; RMG #898
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C5H8L(77)<=>C4H7R(60)+C5H9L(84) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #899; RMG #899
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C8H16L(15)<=>C5H9L(84)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #900; RMG #900
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C7H14R(9)<=>C5H9L(84)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #901; RMG #901
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C6H12L(11)<=>C5H9L(84)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #902; RMG #902
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), RC10(2); C7H15(85), RC10(2);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+C7H15(85)<=>RC10(2) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #903; RMG #903
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(58), C10H20R(64); C7H15(85), C10H20R(64);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5R(58)+C7H15(85)<=>C10H20R(64) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #904; RMG #904
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(86), C10H20L(76); C7H15(85), C10H20L(76);
-! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(86)+C7H15(85)<=>C10H20L(76) 1.020000e+03 2.410 6.230
-
-! Reaction index: Chemkin #905; RMG #905
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #906; RMG #906
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #907; RMG #907
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #908; RMG #908
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #909; RMG #909
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #910; RMG #910
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(C)CC(C)C(87), C7H15(85);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-CC(C)CC(C)C(87)+C9H17LR(73)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #911; RMG #911
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(C)CC(C)C(87), C7H15(85);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-CC(C)CC(C)C(87)+C9H17LR(71)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #912; RMG #912
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+RC10L(1)<=>CC(C)CC(C)C(87)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #913; RMG #913
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(C)CC(C)C(87), C7H15(85);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-CC(C)CC(C)C(87)+C9H17LR(70)<=>C7H15(85)+RC10L(1) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #914; RMG #914
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+RC10(2)<=>CC(C)CC(C)C(87)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #915; RMG #915
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+LC10(3)<=>CC(C)CC(C)C(87)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #916; RMG #916
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C7H15(85)<=>C3H4R(78)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #917; RMG #917
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CC(C)CC(C)C(87)<=>CC(C)L(13)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #918; RMG #918
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)L(16)+C7H15(85)<=>C[CH]CC(C)L(7)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #919; RMG #919
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CC(C)CC(C)C(87)<=>CC(C)CR(20)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #920; RMG #920
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-[CH2]R(14)+CC(C)CC(C)C(87)<=>CR(22)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #921; RMG #921
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C7H14R(9)+CC(C)CC(C)C(87)<=>CC(C)CC(C)CR(23)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #922; RMG #922
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C6H12L(11)+CC(C)CC(C)C(87)<=>CC(C)CC(C)L(25)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #923; RMG #923
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C7H15(85)<=>C[CH]L(8)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #924; RMG #924
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C7H15(85)<=>C[CH]CR(10)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #925; RMG #925
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCC(C)CR(32)+C7H15(85)<=>C[CH]CC(C)CR(5)+CC(C)CC(C)C(87) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #926; RMG #926
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C7H15(85)<=>C5H8L(77)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #927; RMG #927
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C7H15(85)<=>C3H4R(78)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #928; RMG #928
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C7H15(85)<=>C4H6R(79)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #929; RMG #929
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-CH3(74)+CC(C)CC(C)C(87)<=>C(75)+C7H15(85) 5.676000e+00 3.600 11.050
-
-! Reaction index: Chemkin #930; RMG #930
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C7H15(85)<=>C4H6R(79)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #931; RMG #931
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-H(82)+CC(C)CC(C)C(87)<=>[H][H](83)+C7H15(85) 2.268000e+07 2.210 7.500
-
-! Reaction index: Chemkin #932; RMG #932
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C7H15(85)<=>C5H8L(77)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #933; RMG #933
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H15(85)+C8H17L(49)<=>CC(C)CC(C)C(87)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #934; RMG #934
-! Library reaction: restart
-! Flux pairs: H(82), CC(C)CC(C)C(87); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+C7H15(85)<=>CC(C)CC(C)C(87) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #935; RMG #935
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H15(85)<=>C3H5R(12)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #936; RMG #936
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H15(85)<=>C6H11R(17)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #937; RMG #937
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H15(85)<=>C2H3L(19)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #938; RMG #938
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C8H16L(15)<=>CC(C)CC(C)C(87)+C8H15L(21) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #939; RMG #939
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H15(85)<=>C5H9L(24)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 3.707
-
-! Reaction index: Chemkin #940; RMG #940
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H15(85)<=>C6H11R(56)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #941; RMG #941
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H15(85)<=>C5H9L(57)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #942; RMG #942
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H15(85)<=>C3H5R(58)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #943; RMG #943
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C7H15(85)<=>C3H5L(59)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #944; RMG #944
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C7H15(85)<=>C4H7R(60)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #945; RMG #945
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C8H16L(15)<=>CC(C)CC(C)C(87)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #946; RMG #946
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H14R(9)+C7H15(85)<=>C7H13R(62)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #947; RMG #947
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C7H15(85)<=>C6H11L(63)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #948; RMG #948
-! Library reaction: restart
-! Flux pairs: C3H4R(78), RC1[CH]C1(88);
-! Estimated from node Backbone0
-C3H4R(78)<=>RC1[CH]C1(88) 1.014560e+05 2.304 35.490
-
-! Reaction index: Chemkin #949; RMG #949
-! Library reaction: restart
-! Flux pairs: H(82), C5H9L(24); C5H8L(89), C5H9L(24);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C5H8L(89)<=>C5H9L(24) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #950; RMG #950
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H8L(89)<=>C3H5R(12)+C5H9L(24) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #951; RMG #951
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H8L(89)<=>C2H3L(19)+C5H9L(24) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #952; RMG #952
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H9L(24)<=>CC(C)CR(20)+C5H8L(89) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #953; RMG #953
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H9L(24)<=>CCCR(27)+C5H8L(89) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #954; RMG #954
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C[CH]CC(C)CR(5)<=>C5H8L(89)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #955; RMG #955
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H9L(24)<=>CC(C)L(13)+C5H8L(89) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #956; RMG #956
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C7H14R(9)<=>C5H8L(89)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #957; RMG #957
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C[CH]CC(C)L(7)<=>C5H8L(89)+CCCC(C)L(16) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #958; RMG #958
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C5H9L(24)<=>CCL(26)+C5H8L(89) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #959; RMG #959
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H12L(11)<=>C5H8L(89)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #960; RMG #960
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C5H9L(24)<=>CR(22)+C5H8L(89) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #961; RMG #961
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(24)+C6H11R(17) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #962; RMG #962
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C8H16L(15)<=>C5H9L(24)+C8H15L(21) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #963; RMG #963
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(24) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #964; RMG #964
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C8H16L(15)<=>C5H8L(89)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #965; RMG #965
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(24)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #966; RMG #966
-! Library reaction: restart
-! Flux pairs: H(82), C5H9L(57); C5H8L(89), C5H9L(57);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C5H8L(89)<=>C5H9L(57) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #967; RMG #967
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C[CH]CR(10), CCCR(27);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H9L(57)<=>CCCR(27)+C5H8L(89) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #968; RMG #968
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H9L(57)<=>CC(C)L(13)+C5H8L(89) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #969; RMG #969
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C5H9L(57)<=>CCL(26)+C5H8L(89) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #970; RMG #970
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H8L(89)<=>C3H5R(12)+C5H9L(57) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #971; RMG #971
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C5H9L(57)<=>CR(22)+C5H8L(89) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #972; RMG #972
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(17) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #973; RMG #973
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H8L(89)<=>C2H3L(19)+C5H9L(57) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #974; RMG #974
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C8H16L(15)<=>C5H9L(57)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #975; RMG #975
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #976; RMG #976
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(24)+C5H9L(57) 1.225850e+27 -4.376 6.090
-DUPLICATE
-
-! Reaction index: Chemkin #977; RMG #977
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H8L(89)<=>C3H5R(58)+C5H9L(24) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #978; RMG #978
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #979; RMG #979
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C[CH]CC(C)L(7)<=>C5H9L(57)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #980; RMG #980
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H8L(89)<=>C3H5R(58)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #981; RMG #981
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C5H8L(89)<=>C3H5L(59)+C5H9L(24) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #982; RMG #982
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C5H8L(89)<=>C3H5L(59)+C5H9L(57) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #983; RMG #983
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C5H8L(89)<=>C4H7R(60)+C5H9L(24) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #984; RMG #984
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C5H8L(89)<=>C4H7R(60)+C5H9L(57) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #985; RMG #985
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C7H14R(9)<=>C5H9L(24)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #986; RMG #986
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H12L(11)<=>C5H9L(24)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #987; RMG #987
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C10H20R(64)<=>C5H8L(89)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #988; RMG #988
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H9L(57)<=>CC(C)CR(20)+C5H8L(89) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #989; RMG #989
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C[CH]CC(C)L(7)<=>C5H8L(89)+CCCC(C)L(16) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #990; RMG #990
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C8H16L(15)<=>C5H9L(24)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #991; RMG #991
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(89), C5H9L(24);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #992; RMG #992
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C8H16L(15)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #993; RMG #993
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C7H14R(9)<=>C5H9L(57)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #994; RMG #994
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H12L(11)<=>C5H9L(57)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #995; RMG #995
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C10H20R(64)<=>C5H8L(89)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #996; RMG #996
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H8L(89), C5H9L(57);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #997; RMG #997
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C[CH]CC(C)CR(5)<=>C5H8L(89)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #998; RMG #998
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C7H14R(9)<=>C5H8L(89)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #999; RMG #999
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C6H12L(11)<=>C5H8L(89)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1000; RMG #1000
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(66)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1001; RMG #1001
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(67)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1002; RMG #1002
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(68)<=>C5H8L(89)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1003; RMG #1003
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C8H16L(15)<=>C5H8L(89)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1004; RMG #1004
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(89), C5H9L(57);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #1005; RMG #1005
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(70)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1006; RMG #1006
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(71)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1007; RMG #1007
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(89), C5H9L(57);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(57)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #1008; RMG #1008
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(66)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1009; RMG #1009
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(67)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1010; RMG #1010
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(68)<=>C5H8L(89)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1011; RMG #1011
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C5H8L(89), C5H9L(24);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1012; RMG #1012
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(70)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1013; RMG #1013
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(71)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1014; RMG #1014
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C5H8L(89), C5H9L(24);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+RC10L(1)<=>C5H9L(24)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1015; RMG #1015
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C9H17LR(73)<=>C5H8L(89)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1016; RMG #1016
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C9H17LR(73)<=>C5H8L(89)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1017; RMG #1017
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C5H8L(89)<=>CH3(74)+C5H9L(24) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #1018; RMG #1018
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); CH3(74), C(75);
-! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C5H9L(57)<=>C(75)+C5H8L(89) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #1019; RMG #1019
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C10H20L(76)<=>C5H8L(89)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1020; RMG #1020
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C10H20L(76)<=>C5H8L(89)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1021; RMG #1021
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H9L(24); C5H8L(89), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C5H9L(57)<=>C5H8L(77)+C5H9L(24) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1022; RMG #1022
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H9L(84); C5H8L(77), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C5H9L(24)<=>C5H8L(89)+C5H9L(84) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1023; RMG #1023
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H9L(57); C5H8L(89), C5H8L(77);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C5H9L(57)<=>C5H8L(77)+C5H9L(57) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1024; RMG #1024
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H9L(57); C5H8L(89), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C5H9L(84)<=>C5H8L(77)+C5H9L(57) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1025; RMG #1025
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C5H9L(24)<=>C3H5R(12)+C5H8L(89) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1026; RMG #1026
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C5H9L(24)<=>C3H5R(58)+C5H8L(89) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1027; RMG #1027
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C5H8L(89)<=>C3H4R(78)+C5H9L(57) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1028; RMG #1028
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C5H8L(89)<=>C3H4R(78)+C5H9L(57) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1029; RMG #1029
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C5H9L(24)<=>C4H7R(60)+C5H8L(89) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1030; RMG #1030
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C5H9L(24)<=>C4H7R(81)+C5H8L(89) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1031; RMG #1031
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C5H8L(89)<=>C4H6R(79)+C5H9L(57) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1032; RMG #1032
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C5H8L(89)<=>C4H6R(79)+C5H9L(57) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1033; RMG #1033
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C5H8L(89)<=>H(82)+C5H9L(24) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #1034; RMG #1034
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); H(82), [H][H](83);
-! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C5H9L(57)<=>[H][H](83)+C5H8L(89) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #1035; RMG #1035
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C7H15(85)<=>C5H8L(89)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1036; RMG #1036
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C7H15(85)<=>C5H8L(89)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1037; RMG #1037
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H9L(57); C5H8L(89), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C5H9L(24)<=>C5H8L(89)+C5H9L(57) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1038; RMG #1038
-! Library reaction: restart
-! Flux pairs: H(82), C6H11R(56); C6H10R(90), C6H11R(56);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R
-H(82)+C6H10R(90)<=>C6H11R(56) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #1039; RMG #1039
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11R(56)<=>CC(C)CR(20)+C6H10R(90) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1040; RMG #1040
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11R(56)<=>CCCR(27)+C6H10R(90) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1041; RMG #1041
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C[CH]CC(C)CR(5)<=>C6H10R(90)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1042; RMG #1042
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11R(56)<=>CC(C)L(13)+C6H10R(90) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1043; RMG #1043
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11R(56)<=>CCCC(C)L(16)+C6H10R(90) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1044; RMG #1044
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C6H11R(56)<=>CCL(26)+C6H10R(90) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1045; RMG #1045
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C6H12L(11)<=>C6H10R(90)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1046; RMG #1046
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10R(90)<=>C3H5R(12)+C6H11R(56) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #1047; RMG #1047
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C6H11R(56)<=>CR(22)+C6H10R(90) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1048; RMG #1048
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(90), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1049; RMG #1049
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10R(90)<=>C2H3L(19)+C6H11R(56) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #1050; RMG #1050
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H16L(15)<=>C6H11R(56)+C8H15L(21) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1051; RMG #1051
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(24)+C6H11R(56) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1052; RMG #1052
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1053; RMG #1053
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1054; RMG #1054
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10R(90)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1055; RMG #1055
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10R(90)<=>C3H5L(59)+C6H11R(56) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1056; RMG #1056
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10R(90)<=>C4H7R(60)+C6H11R(56) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1057; RMG #1057
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C8H16L(15)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1058; RMG #1058
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(90)+C7H14R(9)<=>C6H11R(56)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1059; RMG #1059
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11R(56); C6H10R(90), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(90)+C6H12L(11)<=>C6H11L(63)+C6H11R(56) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1060; RMG #1060
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C7H14R(9)<=>C6H10R(90)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1061; RMG #1061
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C8H16L(15)<=>C6H10R(90)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1062; RMG #1062
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C10H20R(64)<=>C6H10R(90)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1063; RMG #1063
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H11R(56), C6H10R(90);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(65)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1064; RMG #1064
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(66)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1065; RMG #1065
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(67)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1066; RMG #1066
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(68)<=>C6H10R(90)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1067; RMG #1067
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H11R(56), C6H10R(90);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(69)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1068; RMG #1068
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(70)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1069; RMG #1069
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(71)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1070; RMG #1070
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H11R(56), C6H10R(90);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(72)<=>C6H10R(90)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1071; RMG #1071
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(73)<=>C6H10R(90)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1072; RMG #1072
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C6H11R(56)<=>C(75)+C6H10R(90) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #1073; RMG #1073
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C10H20L(76)<=>C6H10R(90)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1074; RMG #1074
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(56); C5H9L(57), C5H8L(77);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10R(90)<=>C5H8L(77)+C6H11R(56) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #1075; RMG #1075
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C6H11R(56)<=>C5H9L(84)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1076; RMG #1076
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11R(56)<=>C3H5R(12)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1077; RMG #1077
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11R(56)<=>C3H5R(58)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1078; RMG #1078
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11R(56)<=>C4H7R(60)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1079; RMG #1079
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11R(56)<=>C4H7R(81)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1080; RMG #1080
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C6H11R(56)<=>[H][H](83)+C6H10R(90) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #1081; RMG #1081
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C7H15(85)<=>C6H10R(90)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1082; RMG #1082
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11R(56)<=>C5H9L(24)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1083; RMG #1083
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11R(56)<=>C5H9L(57)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1084; RMG #1084
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C5H8L(89); C4H5L(91), C5H8L(89);
-! From training reaction 471 used for Cds-CsH_Cds-CdH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C4H5L(91)<=>C5H8L(89) 1.130000e+04 2.410 4.000
-
-! Reaction index: Chemkin #1085; RMG #1085
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C6H9L2(92); C4H5L(91), C6H9L2(92);
-! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C4H5L(91)<=>C6H9L2(92) 1.920000e+03 2.410 0.760
-
-! Reaction index: Chemkin #1086; RMG #1086
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C[CH]CC(93); C3H6(18), C[CH]CC(93);
-! Matched reaction 237 CH3 + propene_1 <=> C4H9-3 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-HHH]
-! family: R_Addition_MultipleBond
-CH3(74)+C3H6(18)<=>C[CH]CC(93) 2.100000e+04 2.410 5.320
-
-! Reaction index: Chemkin #1087; RMG #1087
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), RC10(2); C7H14R(9), RC10(2);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R
-C[CH]C(94)+C7H14R(9)<=>RC10(2) 2.124550e+14 -0.429 0.000
-
-! Reaction index: Chemkin #1088; RMG #1088
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(65)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536
-
-! Reaction index: Chemkin #1089; RMG #1089
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(69)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536
-
-! Reaction index: Chemkin #1090; RMG #1090
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(66)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1091; RMG #1091
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(68)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1092; RMG #1092
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(72)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.536
-
-! Reaction index: Chemkin #1093; RMG #1093
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(73)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1094; RMG #1094
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(71)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1095; RMG #1095
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(67)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1096; RMG #1096
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C9H17LR(70)<=>C3H6(18)+RC10L(1) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1097; RMG #1097
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H20R(64)<=>C3H6(18)+RC10(2) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1098; RMG #1098
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H20L(76)<=>C3H6(18)+LC10(3) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1099; RMG #1099
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C[CH]C(94)<=>C3H5R(12)+C3H6(18) 2.451710e+27 -4.376 6.820
-
-! Reaction index: Chemkin #1100; RMG #1100
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CC(C)L(13); [CH2]C(C)L(4), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)L(4)+C[CH]C(94)<=>C3H6(18)+CC(C)L(13) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1101; RMG #1101
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C[CH]CC(C)L(7)<=>C3H6(18)+CCCC(C)L(16) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1102; RMG #1102
-! Library reaction: restart
-! Flux pairs: [CH2]R(14), CC(C)CR(20); C[CH]C(94), CC(C)CR(20);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R
-[CH2]R(14)+C[CH]C(94)<=>CC(C)CR(20) 2.124550e+14 -0.429 0.000
-
-! Reaction index: Chemkin #1103; RMG #1103
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+[CH2]C(C)CR(6)<=>C3H6(18)+CC(C)CR(20) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1104; RMG #1104
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]R(14)+C[CH]C(94)<=>CR(22)+C3H6(18) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1105; RMG #1105
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CC(C)CC(C)CR(23); [CH2]C(C)CR(6), CC(C)CC(C)CR(23);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R
-C[CH]C(94)+[CH2]C(C)CR(6)<=>CC(C)CC(C)CR(23) 2.124550e+14 -0.429 0.000
-
-! Reaction index: Chemkin #1106; RMG #1106
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H14R(9)<=>C3H6(18)+CC(C)CC(C)CR(23) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1107; RMG #1107
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C5H8L(89)<=>C3H6(18)+C5H9L(24) 2.451710e+27 -4.376 6.946
-
-! Reaction index: Chemkin #1108; RMG #1108
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), CC(C)CC(C)L(25); C[CH]C(94), CC(C)CC(C)L(25);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R
-[CH2]C(C)L(4)+C[CH]C(94)<=>CC(C)CC(C)L(25) 2.124550e+14 -0.429 0.000
-
-! Reaction index: Chemkin #1109; RMG #1109
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H12L(11)<=>C3H6(18)+CC(C)CC(C)L(25) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1110; RMG #1110
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C[CH]C(94)<=>CCL(26)+C3H6(18) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1111; RMG #1111
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCCR(27); C[CH]CR(10), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C[CH]C(94)<=>C3H6(18)+CCCR(27) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1112; RMG #1112
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C[CH]CC(C)CR(5)<=>C3H6(18)+CCCC(C)CR(32) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1113; RMG #1113
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C8H16L(15)<=>C3H6(18)+C8H17L(49) 2.451710e+27 -4.376 4.198
-
-! Reaction index: Chemkin #1114; RMG #1114
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10R(90)<=>C3H6(18)+C6H11R(56) 2.451710e+27 -4.376 7.254
-
-! Reaction index: Chemkin #1115; RMG #1115
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C5H8L(77)<=>C3H6(18)+C5H9L(57) 2.451710e+27 -4.376 7.254
-
-! Reaction index: Chemkin #1116; RMG #1116
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C5H8L(89)<=>C3H6(18)+C5H9L(57) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1117; RMG #1117
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C[CH]C(94)<=>C3H5R(58)+C3H6(18) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1118; RMG #1118
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C4H6R(79)<=>C3H6(18)+C4H7R(60) 2.451710e+27 -4.376 6.820
-
-! Reaction index: Chemkin #1119; RMG #1119
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-CH3(74)+C[CH]C(94)<=>C(75)+C3H6(18) 2.451710e+27 -4.376 3.164
-
-! Reaction index: Chemkin #1120; RMG #1120
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C4H6R(79)<=>C3H6(18)+C4H7R(81) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1121; RMG #1121
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C[CH]C(94); C3H6(18), C[CH]C(94);
-! Matched reaction 2814 H + propene_1 <=> C3H7-3 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-HH_Cds-Cs\H3/H;HJ]
-! family: R_Addition_MultipleBond
-H(82)+C3H6(18)<=>C[CH]C(94) 1.840000e+09 1.553 1.570
-
-! Reaction index: Chemkin #1122; RMG #1122
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-H(82)+C[CH]C(94)<=>[H][H](83)+C3H6(18) 2.451710e+27 -4.376 3.290
-
-! Reaction index: Chemkin #1123; RMG #1123
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C5H8L(77)<=>C3H6(18)+C5H9L(84) 2.451710e+27 -4.376 6.935
-
-! Reaction index: Chemkin #1124; RMG #1124
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H15(85)<=>C3H6(18)+CC(C)CC(C)C(87) 2.451710e+27 -4.376 3.763
-
-! Reaction index: Chemkin #1125; RMG #1125
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C[CH]C(94), CCC(95);
-! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(65) 8.110000e-04 4.340 5.300
-
-! Reaction index: Chemkin #1126; RMG #1126
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C[CH]C(94), CCC(95);
-! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(69) 8.110000e-04 4.340 5.300
-
-! Reaction index: Chemkin #1127; RMG #1127
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(66) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1128; RMG #1128
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(68) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1129; RMG #1129
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C[CH]C(94), CCC(95);
-! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(72) 8.110000e-04 4.340 5.300
-
-! Reaction index: Chemkin #1130; RMG #1130
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C9H17LR(73)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1131; RMG #1131
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C9H17LR(71)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1132; RMG #1132
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+RC10L(1)<=>CCC(95)+C9H17LR(67) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1133; RMG #1133
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C9H17LR(70)<=>C[CH]C(94)+RC10L(1) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1134; RMG #1134
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+RC10(2)<=>CCC(95)+C10H20R(64) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1135; RMG #1135
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+LC10(3)<=>CCC(95)+C10H20L(76) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1136; RMG #1136
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); C3H4R(78), C3H5R(12);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+CCC(95)<=>C3H5R(12)+C[CH]C(94) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1137; RMG #1137
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CCC(95)<=>CC(C)L(13)+C[CH]C(94) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1138; RMG #1138
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+CCCC(C)L(16)<=>CCC(95)+C[CH]CC(C)L(7) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1139; RMG #1139
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+[CH2]C(C)CR(6)<=>C[CH]C(94)+CC(C)CR(20) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1140; RMG #1140
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CCC(95)<=>CR(22)+C[CH]C(94) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1141; RMG #1141
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C7H14R(9)<=>C[CH]C(94)+CC(C)CC(C)CR(23) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1142; RMG #1142
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C5H8L(89)<=>C[CH]C(94)+C5H9L(24) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1143; RMG #1143
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H12L(11)<=>C[CH]C(94)+CC(C)CC(C)L(25) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1144; RMG #1144
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]C(94), CCC(95); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+C[CH]C(94)<=>C[CH]L(8)+CCC(95) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1145; RMG #1145
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]C(94), CCC(95); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+C[CH]C(94)<=>C[CH]CR(10)+CCC(95) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1146; RMG #1146
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+CCCC(C)CR(32)<=>CCC(95)+C[CH]CC(C)CR(5) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1147; RMG #1147
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+C8H17L(49)<=>CCC(95)+C8H16L(15) 2.573750e-03 4.290 7.713
-
-! Reaction index: Chemkin #1148; RMG #1148
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C6H11R(56)<=>CCC(95)+C6H10R(90) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1149; RMG #1149
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C5H9L(57)<=>CCC(95)+C5H8L(77) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1150; RMG #1150
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C5H8L(89)<=>C[CH]C(94)+C5H9L(57) 2.920000e-02 4.340 16.600
-
-! Reaction index: Chemkin #1151; RMG #1151
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); C3H4R(78), C3H5R(58);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+CCC(95)<=>C3H5R(58)+C[CH]C(94) 2.920000e-02 4.340 16.600
-
-! Reaction index: Chemkin #1152; RMG #1152
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C4H6R(79)<=>C[CH]C(94)+C4H7R(60) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1153; RMG #1153
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]C(94), CCC(95); C(75), CH3(74);
-! Matched reaction 315 C3H7 + CH4b <=> C3H8 + CH3_p1 in H_Abstraction/training
-! This reaction matched rate rule [C_methane;C_rad/H/Cs\H3/Cs\H3]
-! family: H_Abstraction
-C(75)+C[CH]C(94)<=>CH3(74)+CCC(95) 7.240000e-04 4.400 10.790
-
-! Reaction index: Chemkin #1154; RMG #1154
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]C(94)+C4H7R(81)<=>CCC(95)+C4H6R(79) 2.016000e-03 4.340 4.700
-
-! Reaction index: Chemkin #1155; RMG #1155
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]C(94), CCC(95); [H][H](83), H(82);
-! Matched reaction 787 H2 + C3H7 <=> C3H8 + H in H_Abstraction/training
-! This reaction matched rate rule [H2;C_rad/H/Cs\H3/Cs\H3]
-! family: H_Abstraction
-[H][H](83)+C[CH]C(94)<=>H(82)+CCC(95) 5.420000e-03 4.340 9.900
-
-! Reaction index: Chemkin #1156; RMG #1156
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C5H8L(77)<=>C[CH]C(94)+C5H9L(84) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1157; RMG #1157
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C7H15(85)<=>C[CH]C(94)+CC(C)CC(C)C(87) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #1158; RMG #1158
-! Template reaction: R_Recombination
-! Flux pairs: H(82), CCC(95); C[CH]C(94), CCC(95);
-! Matched reaction 59 H + C3H7-2 <=> C3H8-2 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R]
-! family: R_Recombination
-H(82)+C[CH]C(94)<=>CCC(95) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #1159; RMG #1159
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCC(95); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C[CH]C(94)<=>C3H5R(12)+CCC(95) 1.225850e+27 -4.376 4.256
-
-! Reaction index: Chemkin #1160; RMG #1160
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(17) 1.225850e+27 -4.376 4.120
-
-! Reaction index: Chemkin #1161; RMG #1161
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCC(95); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C[CH]C(94)<=>C3H6(18)+CCC(95) 2.451710e+27 -4.376 4.180
-
-! Reaction index: Chemkin #1162; RMG #1162
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCC(95); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C[CH]C(94)<=>C2H3L(19)+CCC(95) 1.225850e+27 -4.376 4.256
-
-! Reaction index: Chemkin #1163; RMG #1163
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C8H16L(15)<=>CCC(95)+C8H15L(21) 1.225850e+27 -4.376 4.120
-
-! Reaction index: Chemkin #1164; RMG #1164
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(24) 1.225850e+27 -4.376 4.120
-
-! Reaction index: Chemkin #1165; RMG #1165
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1166; RMG #1166
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1167; RMG #1167
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCC(95); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C[CH]C(94)<=>C3H5R(58)+CCC(95) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1168; RMG #1168
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), CCC(95); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C[CH]C(94)<=>C3H5L(59)+CCC(95) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1169; RMG #1169
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]C(94)+[CH2]C(C)CR(6)<=>CCC(95)+C4H7R(60) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1170; RMG #1170
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C8H16L(15)<=>CCC(95)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1171; RMG #1171
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]C(94)+C7H14R(9)<=>CCC(95)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1172; RMG #1172
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]C(94)+C6H12L(11)<=>CCC(95)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1173; RMG #1173
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C5H8L(96); C4H5L(91), C5H8L(96);
-! From training reaction 273 used for Cds-HH_Cds-CdH;CsJ-HHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C4H5L(91)<=>C5H8L(96) 2.360000e+04 2.410 2.520
-
-! Reaction index: Chemkin #1174; RMG #1174
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C7H11LR(97); C4H5L(91), C7H11LR(97);
-! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C4H5L(91)<=>C7H11LR(97) 1.920000e+03 2.410 0.760
-
-! Reaction index: Chemkin #1175; RMG #1175
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(90), C6H11R(98);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1176; RMG #1176
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(90), C6H11R(98);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1177; RMG #1177
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(66)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1178; RMG #1178
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(68)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1179; RMG #1179
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(90), C6H11R(98);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+RC10L(1)<=>C6H11R(98)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1180; RMG #1180
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(73)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1181; RMG #1181
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(71)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1182; RMG #1182
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(67)<=>C6H10R(90)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1183; RMG #1183
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C9H17LR(70)<=>C6H10R(90)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1184; RMG #1184
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C10H20R(64)<=>C6H10R(90)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1185; RMG #1185
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C10H20L(76)<=>C6H10R(90)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1186; RMG #1186
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C6H10R(90)<=>C3H4R(78)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1187; RMG #1187
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11R(98)<=>CC(C)L(13)+C6H10R(90) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1188; RMG #1188
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11R(98)<=>CCCC(C)L(16)+C6H10R(90) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1189; RMG #1189
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11R(98)<=>CC(C)CR(20)+C6H10R(90) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1190; RMG #1190
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H11R(98)<=>CR(22)+C6H10R(90) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1191; RMG #1191
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C7H14R(9)<=>C6H10R(90)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1192; RMG #1192
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H10R(90)<=>C5H8L(89)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1193; RMG #1193
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C6H12L(11)<=>C6H10R(90)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1194; RMG #1194
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H11R(98)<=>CCL(26)+C6H10R(90) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1195; RMG #1195
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11R(98)<=>CCCR(27)+C6H10R(90) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1196; RMG #1196
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C[CH]CC(C)CR(5)<=>C6H10R(90)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1197; RMG #1197
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C8H16L(15)<=>C6H10R(90)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1198; RMG #1198
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11R(98); C6H10R(90), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C6H11R(56)<=>C6H10R(90)+C6H11R(98) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1199; RMG #1199
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10R(90)<=>C5H8L(77)+C6H11R(98) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1200; RMG #1200
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H11R(98)<=>C5H9L(57)+C6H10R(90) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1201; RMG #1201
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H11R(98)<=>C3H5R(58)+C6H10R(90) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1202; RMG #1202
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C6H10R(90)<=>C4H6R(79)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1203; RMG #1203
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H10R(90)<=>CH3(74)+C6H11R(98) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #1204; RMG #1204
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H11R(98)<=>C4H7R(81)+C6H10R(90) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1205; RMG #1205
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C6H10R(90)<=>H(82)+C6H11R(98) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #1206; RMG #1206
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H11R(98)<=>C5H9L(84)+C6H10R(90) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1207; RMG #1207
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C7H15(85)<=>C6H10R(90)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1208; RMG #1208
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H10R(90)<=>C[CH]C(94)+C6H11R(98) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1209; RMG #1209
-! Library reaction: restart
-! Flux pairs: H(82), C6H11R(98); C6H10R(90), C6H11R(98);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R
-H(82)+C6H10R(90)<=>C6H11R(98) 1.803320e+13 0.128 0.000
-
-! Reaction index: Chemkin #1210; RMG #1210
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10R(90)<=>C3H5R(12)+C6H11R(98) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #1211; RMG #1211
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(98); C6H10R(90), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(98) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #1212; RMG #1212
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10R(90)<=>C3H6(18)+C6H11R(98) 2.451710e+27 -4.376 6.935
-
-! Reaction index: Chemkin #1213; RMG #1213
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10R(90)<=>C2H3L(19)+C6H11R(98) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #1214; RMG #1214
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H16L(15)<=>C6H11R(98)+C8H15L(21) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #1215; RMG #1215
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(24)+C6H11R(98) 1.225850e+27 -4.376 6.853
-
-! Reaction index: Chemkin #1216; RMG #1216
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(98); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1217; RMG #1217
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>C5H9L(57)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1218; RMG #1218
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10R(90)<=>C3H5R(58)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1219; RMG #1219
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10R(90)<=>C3H5L(59)+C6H11R(98) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1220; RMG #1220
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10R(90)<=>C4H7R(60)+C6H11R(98) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1221; RMG #1221
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C8H16L(15)<=>C6H11R(98)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1222; RMG #1222
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(90)+C7H14R(9)<=>C6H11R(98)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1223; RMG #1223
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11R(98); C6H10R(90), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(90)+C6H12L(11)<=>C6H11L(63)+C6H11R(98) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1224; RMG #1224
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4R(78), C6H9LR(99); C3H5L(59), C6H9LR(99);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H4R(78)+C3H5L(59)<=>C6H9LR(99) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1225; RMG #1225
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4R(78), C7H9LR(100); C4H5L(91), C7H9LR(100);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H4R(78)+C4H5L(91)<=>C7H9LR(100) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1226; RMG #1226
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), CC(L)C[CH]L(101); C[CH]L(8), CC(L)C[CH]L(101);
-! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C[CH]L(8)<=>CC(L)C[CH]L(101) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #1227; RMG #1227
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(L)CC(C)L(35); CC(L)C[CH]L(101), CC(L)CC(C)L(35);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+CC(L)C[CH]L(101)<=>CC(L)CC(C)L(35) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1228; RMG #1228
-! Library reaction: restart
-! Flux pairs: C3H5(102), C6H11R(17); C[CH]CR(10), C6H11R(17);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C[CH]CR(10)<=>C6H11R(17) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1229; RMG #1229
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C3H6(18); C3H5(102), C3H6(18);
-! Matched reaction 121 H + C3H5 <=> C3H6-2 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing]
-! family: R_Recombination
-H(82)+C3H5(102)<=>C3H6(18) 5.840000e+13 0.180 0.124
-
-! Reaction index: Chemkin #1230; RMG #1230
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+[CH2]C(C)CR(6)<=>C3H5(102)+CC(C)CR(20) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1231; RMG #1231
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CR(10), CCCR(27); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C[CH]CR(10)<=>C3H5(102)+CCCR(27) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1232; RMG #1232
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+[CH2]C(C)L(4)<=>C3H5(102)+CC(C)L(13) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1233; RMG #1233
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C7H14R(9)<=>C3H5(102)+CC(C)CC(C)CR(23) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1234; RMG #1234
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C[CH]CC(C)L(7)<=>C3H5(102)+CCCC(C)L(16) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1235; RMG #1235
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C3H6(18)<=>CCL(26)+C3H5(102) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1236; RMG #1236
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H12L(11)<=>C3H5(102)+CC(C)CC(C)L(25) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1237; RMG #1237
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H6(18); C3H5(102), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C[CH]CR(10)<=>C3H5R(12)+C3H6(18) 2.451710e+27 -4.376 6.289
-
-! Reaction index: Chemkin #1238; RMG #1238
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C3H6(18)<=>CR(22)+C3H5(102) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1239; RMG #1239
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C[CH]CC(C)CR(5)<=>C3H6(18)+C6H11R(17) 2.451710e+27 -4.376 6.116
-
-! Reaction index: Chemkin #1240; RMG #1240
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C3H5(102)+C[CH]C(94)<=>C3H6(18)+C3H6(18) 4.903420e+27 -4.376 6.192
-
-! Reaction index: Chemkin #1241; RMG #1241
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C[CH]CC(C)CR(5)<=>C3H5(102)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1242; RMG #1242
-! Library reaction: restart
-! Flux pairs: C3H5(102), C3H6(18); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C3H5(102)<=>C2H3L(19)+C3H6(18) 2.451710e+27 -4.376 6.289
-
-! Reaction index: Chemkin #1243; RMG #1243
-! Library reaction: restart
-! Flux pairs: C3H5(102), C8H15L(21); C[CH]CC(C)L(7), C8H15L(21);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C[CH]CC(C)L(7)<=>C8H15L(21) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1244; RMG #1244
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C8H16L(15)<=>C3H5(102)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1245; RMG #1245
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C8H16L(15)<=>C3H6(18)+C8H15L(21) 2.451710e+27 -4.376 6.116
-
-! Reaction index: Chemkin #1246; RMG #1246
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C5H9L(24); C3H5(102), C5H9L(24);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C3H5(102)<=>C5H9L(24) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1247; RMG #1247
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C[CH]CC(C)L(7)<=>C3H6(18)+C5H9L(24) 2.451710e+27 -4.376 6.116
-
-! Reaction index: Chemkin #1248; RMG #1248
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C[CH]CC(C)CR(5)<=>C3H6(18)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1249; RMG #1249
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C[CH]CC(C)L(7)<=>C3H6(18)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1250; RMG #1250
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H6(18); C3H5(102), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C[CH]CR(10)<=>C3H5R(58)+C3H6(18) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1251; RMG #1251
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H6(18); C3H5(102), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H6(18) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1252; RMG #1252
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+[CH2]C(C)CR(6)<=>C3H6(18)+C4H7R(60) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1253; RMG #1253
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C8H16L(15)<=>C3H6(18)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1254; RMG #1254
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C7H14R(9)<=>C3H6(18)+C7H13R(62) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1255; RMG #1255
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H12L(11)<=>C3H6(18)+C6H11L(63) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1256; RMG #1256
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C10H20R(64)<=>C3H5(102)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1257; RMG #1257
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C3H6(18), C3H5(102);
-! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(65)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700
-
-! Reaction index: Chemkin #1258; RMG #1258
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(66)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1259; RMG #1259
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(67)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1260; RMG #1260
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(68)<=>C3H5(102)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1261; RMG #1261
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C3H6(18), C3H5(102);
-! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(69)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700
-
-! Reaction index: Chemkin #1262; RMG #1262
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(70)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1263; RMG #1263
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(71)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1264; RMG #1264
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C3H6(18), C3H5(102);
-! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(72)<=>C3H5(102)+RC10L(1) 1.014000e-03 4.340 3.700
-
-! Reaction index: Chemkin #1265; RMG #1265
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C9H17LR(73)<=>C3H5(102)+RC10L(1) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1266; RMG #1266
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); CH3(74), C(75);
-! Matched reaction 757 CH3_r3 + C3H6 <=> CH4b + C3H5 in H_Abstraction/training
-! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;C_methyl]
-! family: H_Abstraction
-CH3(74)+C3H6(18)<=>C(75)+C3H5(102) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #1267; RMG #1267
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C10H20L(76)<=>C3H5(102)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1268; RMG #1268
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C5H9L(57)<=>C3H6(18)+C5H8L(77) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1269; RMG #1269
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C5H8L(77)<=>C3H5(102)+C5H9L(84) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1270; RMG #1270
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C3H4R(78), C3H5R(12);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C3H6(18)<=>C3H5R(12)+C3H5(102) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1271; RMG #1271
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C3H4R(78), C3H5R(58);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C3H6(18)<=>C3H5R(58)+C3H5(102) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1272; RMG #1272
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C4H6R(79)<=>C3H5(102)+C4H7R(60) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1273; RMG #1273
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C3H5(102), C3H6(18);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H5(102)+C4H7R(81)<=>C3H6(18)+C4H6R(79) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1274; RMG #1274
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); H(82), [H][H](83);
-! Matched reaction 755 H + C3H6 <=> H2 + C3H5 in H_Abstraction/training
-! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;H_rad]
-! family: H_Abstraction
-H(82)+C3H6(18)<=>[H][H](83)+C3H5(102) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #1275; RMG #1275
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C7H15(85)<=>C3H5(102)+CC(C)CC(C)C(87) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #1276; RMG #1276
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C5H8L(89)<=>C3H5(102)+C5H9L(24) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1277; RMG #1277
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C5H8L(89)<=>C3H5(102)+C5H9L(57) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1278; RMG #1278
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C6H11R(56)<=>C3H6(18)+C6H10R(90) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1279; RMG #1279
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H10R(90)<=>C3H5(102)+C6H11R(98) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1280; RMG #1280
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); C3H5(102), C3H6(18);
-! Matched reaction 913 C3H5 + C3H8 <=> C3H6 + C3H7 in H_Abstraction/training
-! This reaction matched rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/Cs\H3/Cs\H3]
-! family: H_Abstraction
-C3H5(102)+CCC(95)<=>C3H6(18)+C[CH]C(94) 5.840000e-02 4.340 16.600
-
-! Reaction index: Chemkin #1281; RMG #1281
-! Library reaction: restart
-! Flux pairs: H(82), C6H11L(63); C6H10L(103), C6H11L(63);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C6H10L(103)<=>C6H11L(63) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #1282; RMG #1282
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10L(103)<=>C3H5R(12)+C6H11L(63) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #1283; RMG #1283
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10L(103)<=>C3H6(18)+C6H11L(63) 2.451710e+27 -4.376 6.946
-
-! Reaction index: Chemkin #1284; RMG #1284
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10L(103)<=>C2H3L(19)+C6H11L(63) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #1285; RMG #1285
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10L(103)<=>C3H5R(58)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1286; RMG #1286
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10L(103)<=>C3H5L(59)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1287; RMG #1287
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11L(63)<=>CC(C)L(13)+C6H10L(103) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1288; RMG #1288
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H11L(63)<=>CCL(26)+C6H10L(103) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1289; RMG #1289
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H11L(63)<=>CR(22)+C6H10L(103) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1290; RMG #1290
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(63)+C6H11R(17) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1291; RMG #1291
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(24)+C6H11L(63) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1292; RMG #1292
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10L(103)<=>C4H7R(60)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1293; RMG #1293
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(103)+C7H14R(9)<=>C6H11L(63)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1294; RMG #1294
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(103)+C6H12L(11)<=>C6H11L(63)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1295; RMG #1295
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C10H20R(64)<=>C6H10L(103)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1296; RMG #1296
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11L(63)<=>CCCR(27)+C6H10L(103) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1297; RMG #1297
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11L(63)<=>CCCC(C)L(16)+C6H10L(103) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1298; RMG #1298
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C8H16L(15)<=>C6H11L(63)+C8H15L(21) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1299; RMG #1299
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(63)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1300; RMG #1300
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(57)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1301; RMG #1301
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C8H16L(15)<=>C6H11L(63)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1302; RMG #1302
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11L(63)<=>CC(C)CR(20)+C6H10L(103) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1303; RMG #1303
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C[CH]CC(C)CR(5)<=>C6H10L(103)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1304; RMG #1304
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C7H14R(9)<=>C6H10L(103)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1305; RMG #1305
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C6H12L(11)<=>C6H10L(103)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1306; RMG #1306
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C8H16L(15)<=>C6H10L(103)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1307; RMG #1307
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H10L(103), C6H11L(63);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1308; RMG #1308
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(66)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1309; RMG #1309
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(67)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1310; RMG #1310
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(68)<=>C6H10L(103)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1311; RMG #1311
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H10L(103), C6H11L(63);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1312; RMG #1312
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(70)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1313; RMG #1313
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(71)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1314; RMG #1314
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H10L(103), C6H11L(63);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+RC10L(1)<=>C6H11L(63)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1315; RMG #1315
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C9H17LR(73)<=>C6H10L(103)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1316; RMG #1316
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H10L(103)<=>CH3(74)+C6H11L(63) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #1317; RMG #1317
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C10H20L(76)<=>C6H10L(103)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1318; RMG #1318
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10L(103)<=>C5H8L(77)+C6H11L(63) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1319; RMG #1319
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H11L(63)<=>C5H9L(84)+C6H10L(103) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1320; RMG #1320
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(63)<=>C3H5R(12)+C6H10L(103) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1321; RMG #1321
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(63)<=>C3H5R(58)+C6H10L(103) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1322; RMG #1322
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(63)<=>C4H7R(60)+C6H10L(103) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1323; RMG #1323
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(63)<=>C4H7R(81)+C6H10L(103) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1324; RMG #1324
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C6H10L(103)<=>H(82)+C6H11L(63) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #1325; RMG #1325
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C7H15(85)<=>C6H10L(103)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1326; RMG #1326
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H10L(103)<=>C5H8L(89)+C6H11L(63) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1327; RMG #1327
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(63)<=>C5H9L(57)+C6H10L(103) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1328; RMG #1328
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11L(63); C6H10L(103), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11R(56)<=>C6H10R(90)+C6H11L(63) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1329; RMG #1329
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H11R(98); C6H10R(90), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C6H11L(63)<=>C6H10L(103)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1330; RMG #1330
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H10L(103)<=>C[CH]C(94)+C6H11L(63) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1331; RMG #1331
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H10L(103)<=>C3H5(102)+C6H11L(63) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1332; RMG #1332
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C6H10L(103); C5H7L(104), C6H10L(103);
-! From training reaction 471 used for Cds-CsH_Cds-CdH;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C5H7L(104)<=>C6H10L(103) 1.130000e+04 2.410 4.000
-
-! Reaction index: Chemkin #1333; RMG #1333
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C6H9R(105); C3H5(102), C6H9R(105);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C3H5(102)<=>C6H9R(105) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1334; RMG #1334
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C7H11L2(106); C5H7L(104), C7H11L2(106);
-! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C5H7L(104)<=>C7H11L2(106) 2.180000e+03 2.410 0.340
-
-! Reaction index: Chemkin #1335; RMG #1335
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(65)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1336; RMG #1336
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(69)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1337; RMG #1337
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(66)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1338; RMG #1338
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(68)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1339; RMG #1339
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(72)<=>C6H10L(103)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1340; RMG #1340
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(73)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1341; RMG #1341
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(71)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1342; RMG #1342
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(67)<=>C6H10L(103)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1343; RMG #1343
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(70)<=>C6H10L(103)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1344; RMG #1344
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C10H20R(64)<=>C6H10L(103)+RC10(2) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1345; RMG #1345
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C10H20L(76)<=>C6H10L(103)+LC10(3) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1346; RMG #1346
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C6H10L(103)<=>C3H4R(78)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1347; RMG #1347
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11L(107)<=>CC(C)L(13)+C6H10L(103) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1348; RMG #1348
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11L(107)<=>CCCC(C)L(16)+C6H10L(103) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1349; RMG #1349
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C3H5(102), C3H6(18);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H5(102)+C6H11L(107)<=>C3H6(18)+C6H10L(103) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1350; RMG #1350
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11L(107)<=>CC(C)CR(20)+C6H10L(103) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1351; RMG #1351
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+C6H11L(107)<=>CR(22)+C6H10L(103) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1352; RMG #1352
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C7H14R(9)<=>C6H10L(103)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1353; RMG #1353
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H10L(103)<=>C5H8L(89)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1354; RMG #1354
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C6H12L(11)<=>C6H10L(103)+CC(C)CC(C)L(25) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1355; RMG #1355
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]L(8)+C6H11L(107)<=>CCL(26)+C6H10L(103) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1356; RMG #1356
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11L(107)<=>CCCR(27)+C6H10L(103) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1357; RMG #1357
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C[CH]CC(C)CR(5)<=>C6H10L(103)+CCCC(C)CR(32) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1358; RMG #1358
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11L(107); C6H10L(103), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11R(56)<=>C6H10R(90)+C6H11L(107) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1359; RMG #1359
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10L(103)<=>C5H8L(77)+C6H11L(107) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1360; RMG #1360
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(107)<=>C5H9L(57)+C6H10L(103) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1361; RMG #1361
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(107)<=>C3H5R(58)+C6H10L(103) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1362; RMG #1362
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C6H10L(103)<=>C4H6R(79)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1363; RMG #1363
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H11L(107); C6H10L(103), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H11L(63)<=>C6H10L(103)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1364; RMG #1364
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+C6H11L(107)<=>C(75)+C6H10L(103) 1.350560e-01 4.253 7.537
-
-! Reaction index: Chemkin #1365; RMG #1365
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(107)<=>C4H7R(81)+C6H10L(103) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1366; RMG #1366
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+C6H11L(107)<=>[H][H](83)+C6H10L(103) 6.100680e+03 3.153 4.317
-
-! Reaction index: Chemkin #1367; RMG #1367
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C6H10L(103)<=>C5H8L(77)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1368; RMG #1368
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C7H15(85)<=>C6H10L(103)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1369; RMG #1369
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]C(94)+C6H11L(107)<=>CCC(95)+C6H10L(103) 2.016000e-03 4.340 4.700
-
-! Reaction index: Chemkin #1370; RMG #1370
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H11L(107); C6H10L(103), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H11R(98)<=>C6H10R(90)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1371; RMG #1371
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10L(103)<=>C3H5R(58)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1372; RMG #1372
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10L(103)<=>C3H5R(12)+C6H11L(107) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1373; RMG #1373
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10L(103)<=>C2H3L(19)+C6H11L(107) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1374; RMG #1374
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H11L(107)+C8H16L(15)<=>C6H10L(103)+C8H17L(49) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1375; RMG #1375
-! Library reaction: restart
-! Flux pairs: H(82), C6H11L(107); C6H10L(103), C6H11L(107);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C6H10L(103)<=>C6H11L(107) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #1376; RMG #1376
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11L(107); C6H10L(103), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(107) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1377; RMG #1377
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10L(103)<=>C3H6(18)+C6H11L(107) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1378; RMG #1378
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C8H16L(15)<=>C6H11L(107)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1379; RMG #1379
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(24)+C6H11L(107) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1380; RMG #1380
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C[CH]CC(C)CR(5)<=>C6H11L(107)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1381; RMG #1381
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10L(103)<=>C5H9L(57)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1382; RMG #1382
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H10L(103)<=>C3H5L(59)+C6H11L(107) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1383; RMG #1383
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H10L(103)<=>C4H7R(60)+C6H11L(107) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1384; RMG #1384
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C8H16L(15)<=>C6H11L(107)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1385; RMG #1385
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10L(103)+C7H14R(9)<=>C6H11L(107)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1386; RMG #1386
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(107); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10L(103)+C6H12L(11)<=>C6H11L(63)+C6H11L(107) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1387; RMG #1387
-! Library reaction: restart
-! Flux pairs: H(82), C7H13R(62); C7H12R(108), C7H13R(62);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C7H12R(108)<=>C7H13R(62) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #1388; RMG #1388
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H12R(108)<=>C3H5R(12)+C7H13R(62) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #1389; RMG #1389
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H12R(108)<=>C3H6(18)+C7H13R(62) 2.451710e+27 -4.376 6.946
-
-! Reaction index: Chemkin #1390; RMG #1390
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H12R(108)<=>C2H3L(19)+C7H13R(62) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #1391; RMG #1391
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H12R(108)<=>C3H5R(58)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1392; RMG #1392
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C7H12R(108)<=>C3H5L(59)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1393; RMG #1393
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C7H13R(62)<=>CC(C)L(13)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1394; RMG #1394
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C7H13R(62)<=>CCL(26)+C7H12R(108) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1395; RMG #1395
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C7H13R(62)<=>CR(22)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1396; RMG #1396
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(17)+C7H13R(62) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1397; RMG #1397
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(24)+C7H13R(62) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1398; RMG #1398
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C7H12R(108)<=>C4H7R(60)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1399; RMG #1399
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H12R(108)+C7H14R(9)<=>C7H13R(62)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1400; RMG #1400
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C7H12R(108)<=>C6H11L(63)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1401; RMG #1401
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C10H20R(64)<=>C7H12R(108)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1402; RMG #1402
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C7H13R(62)<=>CC(C)CR(20)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1403; RMG #1403
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C7H13R(62)<=>CCCR(27)+C7H12R(108) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1404; RMG #1404
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C7H13R(62)<=>CCCC(C)CR(32)+C7H12R(108) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1405; RMG #1405
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C7H14R(9)<=>C7H12R(108)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1406; RMG #1406
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C7H13R(62)<=>CCCC(C)L(16)+C7H12R(108) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1407; RMG #1407
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C7H13R(62)<=>CC(C)CC(C)L(25)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1408; RMG #1408
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C8H16L(15)<=>C7H12R(108)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1409; RMG #1409
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C8H16L(15)<=>C7H13R(62)+C8H15L(21) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #1410; RMG #1410
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(56)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1411; RMG #1411
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(57)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1412; RMG #1412
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C8H16L(15)<=>C7H13R(62)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1413; RMG #1413
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C7H12R(108), C7H13R(62);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1414; RMG #1414
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(66)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1415; RMG #1415
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(67)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1416; RMG #1416
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(68)<=>C7H12R(108)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1417; RMG #1417
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C7H12R(108), C7H13R(62);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1418; RMG #1418
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(70)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1419; RMG #1419
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(71)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1420; RMG #1420
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C7H12R(108), C7H13R(62);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+RC10L(1)<=>C7H13R(62)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1421; RMG #1421
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C9H17LR(73)<=>C7H12R(108)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1422; RMG #1422
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C7H12R(108)<=>CH3(74)+C7H13R(62) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #1423; RMG #1423
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C10H20L(76)<=>C7H12R(108)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1424; RMG #1424
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C7H12R(108)<=>C5H8L(77)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1425; RMG #1425
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C7H13R(62)<=>C5H9L(84)+C7H12R(108) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1426; RMG #1426
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(62)<=>C3H5R(12)+C7H12R(108) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1427; RMG #1427
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(62)<=>C3H5R(58)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1428; RMG #1428
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(62)<=>C4H7R(60)+C7H12R(108) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1429; RMG #1429
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(62)<=>C4H7R(81)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1430; RMG #1430
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C7H12R(108)<=>H(82)+C7H13R(62) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #1431; RMG #1431
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C7H15(85)<=>C7H12R(108)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1432; RMG #1432
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C7H12R(108)<=>C5H8L(89)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1433; RMG #1433
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(62)<=>C5H9L(57)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1434; RMG #1434
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C7H12R(108)<=>C6H10R(90)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1435; RMG #1435
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(90), C6H11R(98);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C7H13R(62)<=>C6H11R(98)+C7H12R(108) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1436; RMG #1436
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C7H12R(108)<=>C[CH]C(94)+C7H13R(62) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1437; RMG #1437
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C7H12R(108)<=>C3H5(102)+C7H13R(62) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1438; RMG #1438
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C7H12R(108)<=>C6H10L(103)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1439; RMG #1439
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(62)<=>C6H11L(107)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1440; RMG #1440
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H12R(109);
-! Estimated from node Backbone0
-C7H12R(108)<=>C7H12R(109) 1.014560e+05 2.304 30.391
-
-! Reaction index: Chemkin #1441; RMG #1441
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]R(14), C7H12R(108); C6H10(110), C7H12R(108);
-! From training reaction 472 used for Cds-CsH_Cds-CdH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]R(14)+C6H10(110)<=>C7H12R(108) 1.150000e+03 2.410 3.430
-
-! Reaction index: Chemkin #1442; RMG #1442
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C6H9R(111); C3H5(102), C6H9R(111);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C3H5(102)<=>C6H9R(111) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1443; RMG #1443
-! Library reaction: restart
-! Flux pairs: H(82), C8H15L(61); C8H14L(112), C8H15L(61);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R
-H(82)+C8H14L(112)<=>C8H15L(61) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #1444; RMG #1444
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C8H14L(112)<=>C3H5R(12)+C8H15L(61) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #1445; RMG #1445
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C8H14L(112)<=>C3H6(18)+C8H15L(61) 2.451710e+27 -4.376 7.254
-
-! Reaction index: Chemkin #1446; RMG #1446
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C8H14L(112)<=>C2H3L(19)+C8H15L(61) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #1447; RMG #1447
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C8H14L(112)<=>C3H5R(58)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1448; RMG #1448
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C8H14L(112)<=>C3H5L(59)+C8H15L(61) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1449; RMG #1449
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C8H15L(61)<=>CCCR(27)+C8H14L(112) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1450; RMG #1450
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C8H15L(61)<=>CCL(26)+C8H14L(112) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1451; RMG #1451
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C8H14L(112)<=>C6H11R(17)+C8H15L(61) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1452; RMG #1452
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C8H14L(112), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C8H16L(15)<=>C8H15L(21)+C8H15L(61) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1453; RMG #1453
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C8H14L(112)<=>C5H9L(24)+C8H15L(61) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #1454; RMG #1454
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C8H14L(112)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1455; RMG #1455
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C8H14L(112)<=>C5H9L(57)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1456; RMG #1456
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C8H14L(112)<=>C4H7R(60)+C8H15L(61) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1457; RMG #1457
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C8H16L(15)<=>C8H15L(61)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1458; RMG #1458
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C8H14L(112)<=>C7H13R(62)+C8H15L(61) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1459; RMG #1459
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C8H14L(112)<=>C6H11L(63)+C8H15L(61) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1460; RMG #1460
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C8H15L(61)<=>CC(C)L(13)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1461; RMG #1461
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+C8H15L(61)<=>CC(C)CC(C)L(25)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1462; RMG #1462
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C8H15L(61)<=>CR(22)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1463; RMG #1463
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C10H20R(64)<=>C8H14L(112)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1464; RMG #1464
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C8H15L(61), C8H14L(112);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(65)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1465; RMG #1465
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(66)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1466; RMG #1466
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(67)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1467; RMG #1467
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C8H15L(61)<=>CC(C)CR(20)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1468; RMG #1468
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C8H15L(61)<=>CCCC(C)CR(32)+C8H14L(112) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1469; RMG #1469
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H14R(9)+C8H15L(61)<=>CC(C)CC(C)CR(23)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1470; RMG #1470
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C8H15L(61)<=>CCCC(C)L(16)+C8H14L(112) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1471; RMG #1471
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(68)<=>C8H14L(112)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1472; RMG #1472
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C8H15L(61), C8H14L(112);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(69)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1473; RMG #1473
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C8H16L(15)<=>C8H14L(112)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1474; RMG #1474
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(70)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1475; RMG #1475
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(71)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1476; RMG #1476
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C8H15L(61), C8H14L(112);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(72)<=>C8H14L(112)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #1477; RMG #1477
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C9H17LR(73)<=>C8H14L(112)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1478; RMG #1478
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C8H15L(61)<=>C(75)+C8H14L(112) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #1479; RMG #1479
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C8H15L(61)+C10H20L(76)<=>C8H14L(112)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1480; RMG #1480
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C5H9L(57), C5H8L(77);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C8H14L(112)<=>C5H8L(77)+C8H15L(61) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #1481; RMG #1481
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C8H15L(61)<=>C5H9L(84)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1482; RMG #1482
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C8H15L(61)<=>C3H5R(12)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1483; RMG #1483
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C8H15L(61)<=>C3H5R(58)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1484; RMG #1484
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C8H15L(61)<=>C4H7R(60)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1485; RMG #1485
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C8H15L(61)<=>C4H7R(81)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1486; RMG #1486
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C8H15L(61)<=>[H][H](83)+C8H14L(112) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #1487; RMG #1487
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H15(85)+C8H15L(61)<=>CC(C)CC(C)C(87)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #1488; RMG #1488
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C8H15L(61)<=>C5H9L(24)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1489; RMG #1489
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C8H15L(61)<=>C5H9L(57)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1490; RMG #1490
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C6H11R(56), C6H10R(90);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C8H14L(112)<=>C6H10R(90)+C8H15L(61) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #1491; RMG #1491
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(90), C6H11R(98);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C8H15L(61)<=>C6H11R(98)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1492; RMG #1492
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C8H15L(61)<=>CCC(95)+C8H14L(112) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #1493; RMG #1493
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C8H15L(61)<=>C3H6(18)+C8H14L(112) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1494; RMG #1494
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(103), C6H11L(63);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C8H15L(61)<=>C6H11L(63)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1495; RMG #1495
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C8H15L(61)<=>C6H11L(107)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1496; RMG #1496
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(108), C7H13R(62);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C8H15L(61)<=>C7H13R(62)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1497; RMG #1497
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C8H14L(112); C6H10(110), C8H14L(112);
-! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C6H10(110)<=>C8H14L(112) 2.180000e+03 2.410 0.340
-
-! Reaction index: Chemkin #1498; RMG #1498
-! Library reaction: restart
-! Flux pairs: H(82), C6H10(110); C6H9(113), C6H10(110);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C6H9(113)<=>C6H10(110) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #1499; RMG #1499
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H10(110)<=>CC(C)CR(20)+C6H9(113) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1500; RMG #1500
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H10(110)<=>CCCR(27)+C6H9(113) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1501; RMG #1501
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C[CH]CC(C)CR(5)<=>C6H9(113)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1502; RMG #1502
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H10(110)<=>CC(C)L(13)+C6H9(113) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1503; RMG #1503
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C7H14R(9)<=>C6H9(113)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1504; RMG #1504
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H10(110)<=>CCCC(C)L(16)+C6H9(113) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1505; RMG #1505
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C6H10(110)<=>CCL(26)+C6H9(113) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1506; RMG #1506
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H12L(11)<=>C6H9(113)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1507; RMG #1507
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H9(113)<=>C3H5R(12)+C6H10(110) 1.225850e+27 -4.376 8.296
-
-! Reaction index: Chemkin #1508; RMG #1508
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C6H10(110)<=>CR(22)+C6H9(113) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1509; RMG #1509
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C[CH]CC(C)CR(5)<=>C6H10(110)+C6H11R(17) 1.225850e+27 -4.376 8.091
-
-! Reaction index: Chemkin #1510; RMG #1510
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H9(113)<=>C3H6(18)+C6H10(110) 2.451710e+27 -4.376 8.181
-
-! Reaction index: Chemkin #1511; RMG #1511
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H9(113)<=>C2H3L(19)+C6H10(110) 1.225850e+27 -4.376 8.296
-
-! Reaction index: Chemkin #1512; RMG #1512
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C8H16L(15)<=>C6H10(110)+C8H15L(21) 1.225850e+27 -4.376 8.091
-
-! Reaction index: Chemkin #1513; RMG #1513
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H9(113)<=>C5H9L(24)+C6H10(110) 1.225850e+27 -4.376 8.091
-
-! Reaction index: Chemkin #1514; RMG #1514
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C[CH]CC(C)CR(5)<=>C6H10(110)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1515; RMG #1515
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H9(113)<=>C5H9L(57)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1516; RMG #1516
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H9(113)<=>C3H5R(58)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1517; RMG #1517
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H9(113)<=>C3H5L(59)+C6H10(110) 7.830000e+11 0.000 0.230
-
-! Reaction index: Chemkin #1518; RMG #1518
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H9(113)<=>C4H7R(60)+C6H10(110) 7.830000e+11 0.000 0.230
-
-! Reaction index: Chemkin #1519; RMG #1519
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C8H16L(15)<=>C6H10(110)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1520; RMG #1520
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H9(113)+C7H14R(9)<=>C6H10(110)+C7H13R(62) 7.830000e+11 0.000 0.188
-
-! Reaction index: Chemkin #1521; RMG #1521
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H9(113)+C6H12L(11)<=>C6H10(110)+C6H11L(63) 7.830000e+11 0.000 0.188
-
-! Reaction index: Chemkin #1522; RMG #1522
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(67)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1523; RMG #1523
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(70)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1524; RMG #1524
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C(75), CH3(74);
-! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H9(113)<=>CH3(74)+C6H10(110) 5.600000e-02 4.340 25.430
-
-! Reaction index: Chemkin #1525; RMG #1525
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C5H9L(57), C5H8L(77);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H9(113)<=>C5H8L(77)+C6H10(110) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1526; RMG #1526
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(77)+C6H10(110)<=>C5H9L(84)+C6H9(113) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1527; RMG #1527
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(110)<=>C3H5R(12)+C6H9(113) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1528; RMG #1528
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(110)<=>C3H5R(58)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1529; RMG #1529
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(110)<=>C4H7R(60)+C6H9(113) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1530; RMG #1530
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(110)<=>C4H7R(81)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1531; RMG #1531
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); [H][H](83), H(82);
-! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 102.7 to 103.8 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H9(113)<=>H(82)+C6H10(110) 6.060000e-02 4.340 24.813
-
-! Reaction index: Chemkin #1532; RMG #1532
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C7H15(85)<=>C6H9(113)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1533; RMG #1533
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(110)<=>C5H9L(24)+C6H9(113) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1534; RMG #1534
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(110)<=>C5H9L(57)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1535; RMG #1535
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C6H11R(56)<=>C6H10(110)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1536; RMG #1536
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H10R(90)<=>C6H9(113)+C6H11R(98) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1537; RMG #1537
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H9(113)<=>C[CH]C(94)+C6H10(110) 2.920000e-02 4.340 18.905
-
-! Reaction index: Chemkin #1538; RMG #1538
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H9(113)<=>C3H5(102)+C6H10(110) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1539; RMG #1539
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H10L(103)<=>C6H9(113)+C6H11L(63) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1540; RMG #1540
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H10L(103)<=>C6H9(113)+C6H11L(107) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1541; RMG #1541
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C7H12R(108)<=>C6H9(113)+C7H13R(62) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1542; RMG #1542
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C8H16L(15)<=>C6H9(113)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1543; RMG #1543
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C10H20R(64)<=>C6H9(113)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1544; RMG #1544
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H9(113), C6H10(110);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(65) 1.690000e-02 4.340 16.850
-
-! Reaction index: Chemkin #1545; RMG #1545
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(66)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1546; RMG #1546
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(68)<=>C6H9(113)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1547; RMG #1547
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H9(113), C6H10(110);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(69) 1.690000e-02 4.340 16.850
-
-! Reaction index: Chemkin #1548; RMG #1548
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(71)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1549; RMG #1549
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H9(113), C6H10(110);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+RC10L(1)<=>C6H10(110)+C9H17LR(72) 1.690000e-02 4.340 16.850
-
-! Reaction index: Chemkin #1550; RMG #1550
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C9H17LR(73)<=>C6H9(113)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #1551; RMG #1551
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C10H20L(76)<=>C6H9(113)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #1552; RMG #1552
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C8H15L(61)<=>C6H10(110)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1553; RMG #1553
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H9(114);
-! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S
-C6H9(113)<=>C6H9(114) 1.572550e+29 -4.713 38.794
-
-! Reaction index: Chemkin #1554; RMG #1554
-! Library reaction: restart
-! Flux pairs: C6H9(114), C12H18(115); C6H9(114), C12H18(115);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H9(114)+C6H9(114)<=>C12H18(115) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #1555; RMG #1555
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H9(114), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1556; RMG #1556
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H9(114), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1557; RMG #1557
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(66)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1558; RMG #1558
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(68)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1559; RMG #1559
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H9(114), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+RC10L(1)<=>C6H10(116)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #1560; RMG #1560
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(73)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1561; RMG #1561
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(71)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1562; RMG #1562
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(67)<=>C6H9(114)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1563; RMG #1563
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(70)<=>C6H9(114)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1564; RMG #1564
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H20R(64)<=>C6H9(114)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1565; RMG #1565
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H20L(76)<=>C6H9(114)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1566; RMG #1566
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H9(114)<=>C3H5R(58)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1567; RMG #1567
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H9(114)<=>C3H5R(12)+C6H10(116) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #1568; RMG #1568
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H9(114)<=>C2H3L(19)+C6H10(116) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #1569; RMG #1569
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(116)<=>C3H5R(12)+C6H9(114) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1570; RMG #1570
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H10(116)<=>CC(C)L(13)+C6H9(114) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1571; RMG #1571
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H10(116)<=>CCCC(C)L(16)+C6H9(114) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1572; RMG #1572
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H9(114)<=>C3H5(102)+C6H10(116) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1573; RMG #1573
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H10(116)<=>CC(C)CR(20)+C6H9(114) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1574; RMG #1574
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H10(116)<=>CR(22)+C6H9(114) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1575; RMG #1575
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H14R(9)<=>C6H9(114)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1576; RMG #1576
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(116)<=>C5H9L(24)+C6H9(114) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1577; RMG #1577
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C6H12L(11)<=>C6H9(114)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1578; RMG #1578
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H10(116)<=>CCL(26)+C6H9(114) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1579; RMG #1579
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H10(116)<=>CCCR(27)+C6H9(114) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1580; RMG #1580
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C[CH]CC(C)CR(5)<=>C6H9(114)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1581; RMG #1581
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C8H16L(15)<=>C6H9(114)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #1582; RMG #1582
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C6H11R(56)<=>C6H10(116)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1583; RMG #1583
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H9(114)<=>C5H8L(77)+C6H10(116) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1584; RMG #1584
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(116)<=>C5H9L(57)+C6H9(114) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1585; RMG #1585
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(116)<=>C3H5R(58)+C6H9(114) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1586; RMG #1586
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(116)<=>C4H7R(60)+C6H9(114) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1587; RMG #1587
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C8H15L(61)<=>C6H10(116)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #1588; RMG #1588
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H12R(108)<=>C6H9(114)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1589; RMG #1589
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11L(63); C6H10L(103), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H10(116)<=>C6H9(114)+C6H11L(63) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1590; RMG #1590
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H9(114)<=>CH3(74)+C6H10(116) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #1591; RMG #1591
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(116)<=>C4H7R(81)+C6H9(114) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1592; RMG #1592
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H9(114)<=>H(82)+C6H10(116) 4.580000e-02 4.340 22.252
-
-! Reaction index: Chemkin #1593; RMG #1593
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H10(116)<=>C5H9L(84)+C6H9(114) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1594; RMG #1594
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H15(85)<=>C6H9(114)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #1595; RMG #1595
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H9(114)<=>C3H6(18)+C6H10(116) 2.451710e+27 -4.376 7.519
-
-! Reaction index: Chemkin #1596; RMG #1596
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H9(114)<=>C[CH]C(94)+C6H10(116) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #1597; RMG #1597
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C6H10R(90)<=>C6H9(114)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #1598; RMG #1598
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11L(107); C6H10L(103), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H10(116)<=>C6H9(114)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1599; RMG #1599
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H10(116); C6H9(114), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9(114)+C6H10(110)<=>C6H9(113)+C6H10(116) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #1600; RMG #1600
-! Library reaction: restart
-! Flux pairs: H(82), C6H10(116); C6H9(114), C6H10(116);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C6H9(114)<=>C6H10(116) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #1601; RMG #1601
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(17) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #1602; RMG #1602
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C8H16L(15)<=>C6H10(116)+C8H15L(21) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #1603; RMG #1603
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H9(114)<=>C5H9L(24)+C6H10(116) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #1604; RMG #1604
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1605; RMG #1605
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H9(114)<=>C5H9L(57)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1606; RMG #1606
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H9(114)<=>C3H5L(59)+C6H10(116) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #1607; RMG #1607
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H9(114)<=>C4H7R(60)+C6H10(116) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #1608; RMG #1608
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C8H16L(15)<=>C6H10(116)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1609; RMG #1609
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H9(114)+C7H14R(9)<=>C6H10(116)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1610; RMG #1610
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H9(114)+C6H12L(11)<=>C6H10(116)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #1611; RMG #1611
-! Library reaction: restart
-! Flux pairs: C6H9(114), C12H18(117); C6H9(114), C12H18(117);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H9(114)+C6H9(114)<=>C12H18(117) 2.500000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #1612; RMG #1612
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H9(114); C6H8(118), C6H9(114);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H8(118)<=>C6H9(114) 1.650000e+09 1.480 0.900
-
-! Reaction index: Chemkin #1613; RMG #1613
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1614; RMG #1614
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1615; RMG #1615
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1616; RMG #1616
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1617; RMG #1617
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1618; RMG #1618
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1619; RMG #1619
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1620; RMG #1620
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1621; RMG #1621
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1622; RMG #1622
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1623; RMG #1623
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1624; RMG #1624
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1625; RMG #1625
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(90)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1626; RMG #1626
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(90)<=>C6H8(118)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1627; RMG #1627
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1628; RMG #1628
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1629; RMG #1629
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(103)<=>C6H8(118)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1630; RMG #1630
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(103)<=>C6H8(118)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1631; RMG #1631
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(108)<=>C6H8(118)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1632; RMG #1632
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H9(113)<=>C6H8(118)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1633; RMG #1633
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H9(114)<=>C6H8(118)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1634; RMG #1634
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C8H14L(112)<=>C6H8(118)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1635; RMG #1635
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(65)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1636; RMG #1636
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(69)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1637; RMG #1637
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(66)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1638; RMG #1638
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(68)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1639; RMG #1639
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(72)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1640; RMG #1640
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(73)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1641; RMG #1641
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(71)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1642; RMG #1642
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(67)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1643; RMG #1643
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(70)<=>C6H8(118)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1644; RMG #1644
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H20R(64)<=>C6H8(118)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1645; RMG #1645
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H20L(76)<=>C6H8(118)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1646; RMG #1646
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1647; RMG #1647
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1648; RMG #1648
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1649; RMG #1649
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H14R(9)<=>C6H8(118)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1650; RMG #1650
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H12L(11)<=>C6H8(118)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1651; RMG #1651
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(118)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1652; RMG #1652
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C8H16L(15)<=>C6H8(118)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1653; RMG #1653
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1654; RMG #1654
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H9(114)<=>C(75)+C6H8(118) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1655; RMG #1655
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H9(114)<=>[H][H](83)+C6H8(118) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #1656; RMG #1656
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H15(85)<=>C6H8(118)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1657; RMG #1657
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H14L(119); C6H9(113), C10H14L(119);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H9(113)<=>C10H14L(119) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1658; RMG #1658
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(65)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1659; RMG #1659
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(69)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1660; RMG #1660
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(66)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1661; RMG #1661
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(68)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1662; RMG #1662
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(72)<=>C7H12R(108)+RC10L(1) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #1663; RMG #1663
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(73)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1664; RMG #1664
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(71)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1665; RMG #1665
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(67)<=>C7H12R(108)+RC10L(1) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1666; RMG #1666
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(70)<=>C7H12R(108)+RC10L(1) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1667; RMG #1667
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C10H20R(64)<=>C7H12R(108)+RC10(2) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1668; RMG #1668
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C10H20L(76)<=>C7H12R(108)+LC10(3) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1669; RMG #1669
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H12R(108)<=>C3H5R(58)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1670; RMG #1670
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H12R(108)<=>C3H5R(12)+C7H13R(120) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1671; RMG #1671
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H12R(108)<=>C2H3L(19)+C7H13R(120) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1672; RMG #1672
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C7H12R(108)<=>C3H4R(78)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1673; RMG #1673
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C7H13R(120)<=>CC(C)L(13)+C7H12R(108) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1674; RMG #1674
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C7H13R(120)<=>CCCC(C)L(16)+C7H12R(108) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1675; RMG #1675
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C3H5(102), C3H6(18);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H5(102)+C7H13R(120)<=>C3H6(18)+C7H12R(108) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1676; RMG #1676
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C7H13R(120)<=>CC(C)CR(20)+C7H12R(108) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1677; RMG #1677
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+C7H13R(120)<=>CR(22)+C7H12R(108) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1678; RMG #1678
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C7H14R(9)<=>C7H12R(108)+CC(C)CC(C)CR(23) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1679; RMG #1679
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C7H12R(108)<=>C5H8L(89)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1680; RMG #1680
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H12L(11)+C7H13R(120)<=>CC(C)CC(C)L(25)+C7H12R(108) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1681; RMG #1681
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]L(8)+C7H13R(120)<=>CCL(26)+C7H12R(108) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1682; RMG #1682
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CR(10)+C7H13R(120)<=>CCCR(27)+C7H12R(108) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1683; RMG #1683
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C7H13R(120)<=>CCCC(C)CR(32)+C7H12R(108) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1684; RMG #1684
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C8H16L(15)<=>C7H12R(108)+C8H17L(49) 1.956390e-03 4.260 6.640
-
-! Reaction index: Chemkin #1685; RMG #1685
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C7H12R(108)<=>C6H10R(90)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1686; RMG #1686
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C7H12R(108)<=>C5H8L(77)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1687; RMG #1687
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(120)<=>C5H9L(57)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1688; RMG #1688
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(120)<=>C3H5R(58)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1689; RMG #1689
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C7H12R(108)<=>C4H6R(79)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1690; RMG #1690
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C8H15L(61)<=>C7H13R(120)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1691; RMG #1691
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H13R(120); C7H12R(108), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C7H13R(62)<=>C7H12R(108)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1692; RMG #1692
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C7H12R(108)<=>C6H10L(103)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1693; RMG #1693
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+C7H13R(120)<=>C(75)+C7H12R(108) 1.350560e-01 4.253 7.537
-
-! Reaction index: Chemkin #1694; RMG #1694
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(120)<=>C4H7R(81)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1695; RMG #1695
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+C7H13R(120)<=>[H][H](83)+C7H12R(108) 6.100680e+03 3.153 4.317
-
-! Reaction index: Chemkin #1696; RMG #1696
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C7H12R(108)<=>C5H8L(77)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1697; RMG #1697
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C7H13R(120)+C7H15(85)<=>C7H12R(108)+CC(C)CC(C)C(87) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #1698; RMG #1698
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C[CH]C(94), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]C(94)+C7H13R(120)<=>CCC(95)+C7H12R(108) 2.016000e-03 4.340 4.700
-
-! Reaction index: Chemkin #1699; RMG #1699
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C7H12R(108)<=>C6H10R(90)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1700; RMG #1700
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(120)<=>C6H11L(107)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1701; RMG #1701
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C7H12R(108)<=>C6H9(113)+C7H13R(120) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1702; RMG #1702
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(108)<=>C6H8(118)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1703; RMG #1703
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H12R(108)<=>C6H9(114)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #1704; RMG #1704
-! Library reaction: restart
-! Flux pairs: H(82), C7H13R(120); C7H12R(108), C7H13R(120);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C7H12R(108)<=>C7H13R(120) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #1705; RMG #1705
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(17)+C7H13R(120) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1706; RMG #1706
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H12R(108)<=>C3H6(18)+C7H13R(120) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1707; RMG #1707
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C8H16L(15)<=>C7H13R(120)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1708; RMG #1708
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(24)+C7H13R(120) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1709; RMG #1709
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H12R(108)<=>C6H11R(56)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1710; RMG #1710
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H12R(108)<=>C5H9L(57)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1711; RMG #1711
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C7H12R(108)<=>C3H5L(59)+C7H13R(120) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1712; RMG #1712
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C7H12R(108)<=>C4H7R(60)+C7H13R(120) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1713; RMG #1713
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C8H16L(15)<=>C7H13R(120)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1714; RMG #1714
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(120); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C7H12R(108)+C7H14R(9)<=>C7H13R(62)+C7H13R(120) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1715; RMG #1715
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H12L(11)+C7H12R(108)<=>C6H11L(63)+C7H13R(120) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #1716; RMG #1716
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H14L(121); C6H9(113), C10H14L(121);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H9(113)<=>C10H14L(121) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1717; RMG #1717
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H14L(122); C6H9(113), C9H14L(122);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H9(113)<=>C9H14L(122) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1718; RMG #1718
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C6H8(118); C6H7(123), C6H8(118);
-! Matched reaction 14 C6H7-2 + H <=> C6H8-3 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H_Ext-3R!H-R]
-! family: R_Recombination
-H(82)+C6H7(123)<=>C6H8(118) 1.884000e+13 0.408 0.002
-
-! Reaction index: Chemkin #1719; RMG #1719
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H8(118)<=>CC(C)CR(20)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1720; RMG #1720
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H8(118)<=>CCCR(27)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1721; RMG #1721
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C[CH]CC(C)CR(5)<=>C6H7(123)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1722; RMG #1722
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H8(118)<=>CC(C)L(13)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1723; RMG #1723
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C7H14R(9)<=>C6H7(123)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1724; RMG #1724
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H8(118)<=>CCCC(C)L(16)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1725; RMG #1725
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H8(118)<=>CCL(26)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1726; RMG #1726
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H12L(11)<=>C6H7(123)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1727; RMG #1727
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C6H7(123)<=>C3H5R(12)+C6H8(118) 2.451710e+27 -4.376 7.020
-
-! Reaction index: Chemkin #1728; RMG #1728
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H8(118)<=>CR(22)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1729; RMG #1729
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(17) 2.451710e+27 -4.376 6.835
-
-! Reaction index: Chemkin #1730; RMG #1730
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C6H7(123)<=>C3H6(18)+C6H8(118) 4.903420e+27 -4.376 6.916
-
-! Reaction index: Chemkin #1731; RMG #1731
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C6H7(123)<=>C2H3L(19)+C6H8(118) 2.451710e+27 -4.376 7.020
-
-! Reaction index: Chemkin #1732; RMG #1732
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C8H16L(15)<=>C6H8(118)+C8H15L(21) 2.451710e+27 -4.376 6.835
-
-! Reaction index: Chemkin #1733; RMG #1733
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(24)+C6H8(118) 2.451710e+27 -4.376 6.835
-
-! Reaction index: Chemkin #1734; RMG #1734
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1735; RMG #1735
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(57)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1736; RMG #1736
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C6H7(123)<=>C3H5R(58)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1737; RMG #1737
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H7(123)<=>C3H5L(59)+C6H8(118) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1738; RMG #1738
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H7(123)<=>C4H7R(60)+C6H8(118) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1739; RMG #1739
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C8H16L(15)<=>C6H8(118)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1740; RMG #1740
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C7H14R(9)<=>C6H8(118)+C7H13R(62) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1741; RMG #1741
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C6H12L(11)<=>C6H8(118)+C6H11L(63) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1742; RMG #1742
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H8(118), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(65)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1743; RMG #1743
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(66)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1744; RMG #1744
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(67)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1745; RMG #1745
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(68)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1746; RMG #1746
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H8(118), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(69)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1747; RMG #1747
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(70)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1748; RMG #1748
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(71)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1749; RMG #1749
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H8(118), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(72)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1750; RMG #1750
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(73)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1751; RMG #1751
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); CH3(74), C(75);
-! From training reaction 1126 used for C/H2/CdCd;C_methyl
-! Exact match found for rate rule [C/H2/CdCd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+C6H8(118)<=>C(75)+C6H7(123) 2.120000e-02 4.340 1.700
-
-! Reaction index: Chemkin #1752; RMG #1752
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(123), C6H8(118); C5H9L(57), C5H8L(77);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(57)+C6H7(123)<=>C5H8L(77)+C6H8(118) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1753; RMG #1753
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H8L(77), C5H9L(84);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(118)<=>C5H9L(84)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1754; RMG #1754
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C3H4R(78), C3H5R(12);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(118)<=>C3H5R(12)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1755; RMG #1755
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C3H4R(78), C3H5R(58);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(118)<=>C3H5R(58)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1756; RMG #1756
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C4H6R(79), C4H7R(60);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(118)<=>C4H7R(60)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1757; RMG #1757
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(118)<=>C4H7R(81)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1758; RMG #1758
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C7H15(85)<=>C6H7(123)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1759; RMG #1759
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H8L(89), C5H9L(24);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(118)<=>C5H9L(24)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1760; RMG #1760
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H8L(89), C5H9L(57);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(118)<=>C5H9L(57)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1761; RMG #1761
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11R(56)<=>C6H8(118)+C6H10R(90) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1762; RMG #1762
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(90)<=>C6H7(123)+C6H11R(98) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1763; RMG #1763
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C[CH]C(94), CCC(95);
-! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+C6H8(118)<=>CCC(95)+C6H7(123) 2.320000e-03 4.340 -0.400
-
-! Reaction index: Chemkin #1764; RMG #1764
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C3H5(102), C3H6(18);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H5(102)+C6H8(118)<=>C3H6(18)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1765; RMG #1765
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(103)<=>C6H7(123)+C6H11L(63) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1766; RMG #1766
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(103)<=>C6H7(123)+C6H11L(107) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1767; RMG #1767
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(108)<=>C6H7(123)+C7H13R(62) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1768; RMG #1768
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(108)<=>C6H7(123)+C7H13R(120) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1769; RMG #1769
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C8H15L(61)<=>C6H8(118)+C8H14L(112) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1770; RMG #1770
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C6H8(118), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H9(113)<=>C6H7(123)+C6H10(110) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1771; RMG #1771
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H9(114)<=>C6H7(123)+C6H10(116) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1772; RMG #1772
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H9(114)<=>C6H8(118)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1773; RMG #1773
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C8H16L(15)<=>C6H7(123)+C8H17L(49) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1774; RMG #1774
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C10H20R(64)<=>C6H7(123)+RC10(2) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1775; RMG #1775
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C10H20L(76)<=>C6H7(123)+LC10(3) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1776; RMG #1776
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); H(82), [H][H](83);
-! From training reaction 1125 used for C/H2/CdCd;H_rad
-! Exact match found for rate rule [C/H2/CdCd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+C6H8(118)<=>[H][H](83)+C6H7(123) 8.940000e-01 4.340 -0.400
-
-! Reaction index: Chemkin #1777; RMG #1777
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), C5H9LR(124); C[CH]CR(10), C5H9LR(124);
-! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C[CH]CR(10)<=>C5H9LR(124) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #1778; RMG #1778
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(L)CC(C)CR(37); C5H9LR(124), CC(L)CC(C)CR(37);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C5H9LR(124)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1779; RMG #1779
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H9(114); C6H8(125), C6H9(114);
-! From training reaction 2558 used for Cds-CsH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H8(125)<=>C6H9(114) 1.520000e+08 1.640 0.140
-
-! Reaction index: Chemkin #1780; RMG #1780
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1781; RMG #1781
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1782; RMG #1782
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1783; RMG #1783
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1784; RMG #1784
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1785; RMG #1785
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1786; RMG #1786
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1787; RMG #1787
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1788; RMG #1788
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1789; RMG #1789
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1790; RMG #1790
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1791; RMG #1791
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1792; RMG #1792
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(90)<=>C6H8(125)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1793; RMG #1793
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(90)<=>C6H8(125)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1794; RMG #1794
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1795; RMG #1795
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1796; RMG #1796
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(103)<=>C6H8(125)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1797; RMG #1797
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(103)<=>C6H8(125)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1798; RMG #1798
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(108)<=>C6H8(125)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1799; RMG #1799
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(108)<=>C6H8(125)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1800; RMG #1800
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H9(113)<=>C6H8(125)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1801; RMG #1801
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H9(114)<=>C6H8(125)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1802; RMG #1802
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C8H14L(112)<=>C6H8(125)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1803; RMG #1803
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H8(125), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(65)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1804; RMG #1804
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H8(125), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(69)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1805; RMG #1805
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(66)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1806; RMG #1806
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(68)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1807; RMG #1807
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H8(125), C6H7(123);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(72)<=>C6H7(123)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #1808; RMG #1808
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(73)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1809; RMG #1809
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(71)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1810; RMG #1810
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(67)<=>C6H7(123)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1811; RMG #1811
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C9H17LR(70)<=>C6H7(123)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1812; RMG #1812
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C10H20R(64)<=>C6H7(123)+RC10(2) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1813; RMG #1813
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C10H20L(76)<=>C6H7(123)+LC10(3) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1814; RMG #1814
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C3H4R(78), C3H5R(12);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(125)<=>C3H5R(12)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1815; RMG #1815
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H8(125)<=>CC(C)L(13)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1816; RMG #1816
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H8(125)<=>CCCC(C)L(16)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1817; RMG #1817
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C3H5(102), C3H6(18);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H5(102)+C6H8(125)<=>C3H6(18)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1818; RMG #1818
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H8(125)<=>CC(C)CR(20)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1819; RMG #1819
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H8(125)<=>CR(22)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1820; RMG #1820
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C7H14R(9)<=>C6H7(123)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1821; RMG #1821
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H8L(89), C5H9L(24);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(125)<=>C5H9L(24)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1822; RMG #1822
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H12L(11)<=>C6H7(123)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1823; RMG #1823
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H8(125)<=>CCL(26)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1824; RMG #1824
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H8(125)<=>CCCR(27)+C6H7(123) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1825; RMG #1825
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C[CH]CC(C)CR(5)<=>C6H7(123)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1826; RMG #1826
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C8H16L(15)<=>C6H7(123)+C8H17L(49) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #1827; RMG #1827
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11R(56)<=>C6H8(125)+C6H10R(90) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1828; RMG #1828
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(123), C6H8(125); C5H9L(57), C5H8L(77);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(57)+C6H7(123)<=>C5H8L(77)+C6H8(125) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1829; RMG #1829
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H8L(89), C5H9L(57);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(125)<=>C5H9L(57)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1830; RMG #1830
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C3H4R(78), C3H5R(58);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(125)<=>C3H5R(58)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1831; RMG #1831
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C4H6R(79), C4H7R(60);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(125)<=>C4H7R(60)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1832; RMG #1832
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C8H15L(61)<=>C6H8(125)+C8H14L(112) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #1833; RMG #1833
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C7H12R(108)<=>C6H7(123)+C7H13R(62) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1834; RMG #1834
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H10L(103)<=>C6H7(123)+C6H11L(63) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1835; RMG #1835
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); CH3(74), C(75);
-! From training reaction 1126 used for C/H2/CdCd;C_methyl
-! Exact match found for rate rule [C/H2/CdCd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+C6H8(125)<=>C(75)+C6H7(123) 2.120000e-02 4.340 1.700
-
-! Reaction index: Chemkin #1836; RMG #1836
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(125)<=>C4H7R(81)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1837; RMG #1837
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); H(82), [H][H](83);
-! From training reaction 1125 used for C/H2/CdCd;H_rad
-! Exact match found for rate rule [C/H2/CdCd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+C6H8(125)<=>[H][H](83)+C6H7(123) 8.940000e-01 4.340 -0.400
-
-! Reaction index: Chemkin #1838; RMG #1838
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H8L(77), C5H9L(84);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(125)<=>C5H9L(84)+C6H7(123) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1839; RMG #1839
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C7H15(85)<=>C6H7(123)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #1840; RMG #1840
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C[CH]C(94), CCC(95);
-! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+C6H8(125)<=>CCC(95)+C6H7(123) 2.320000e-03 4.340 -0.400
-
-! Reaction index: Chemkin #1841; RMG #1841
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H10R(90)<=>C6H7(123)+C6H11R(98) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1842; RMG #1842
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H10L(103)<=>C6H7(123)+C6H11L(107) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1843; RMG #1843
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C6H8(125), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H9(113)<=>C6H7(123)+C6H10(110) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1844; RMG #1844
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H9(114)<=>C6H7(123)+C6H10(116) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #1845; RMG #1845
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H8(118); C6H7(123), C6H7(123);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H7(123)+C6H8(125)<=>C6H7(123)+C6H8(118) 1.564000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1846; RMG #1846
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C7H12R(108)<=>C6H7(123)+C7H13R(120) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1847; RMG #1847
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C6H8(125); C6H7(123), C6H8(125);
-! Matched reaction 16 C6H7-4 + H <=> C6H8-5 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H_Ext-5R!H-R_Ext-5R!H-R]
-! family: R_Recombination
-H(82)+C6H7(123)<=>C6H8(125) 5.871000e+13 0.158 -0.004
-
-! Reaction index: Chemkin #1848; RMG #1848
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(65)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1849; RMG #1849
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(69)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1850; RMG #1850
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(66)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1851; RMG #1851
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(68)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1852; RMG #1852
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(72)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1853; RMG #1853
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(73)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1854; RMG #1854
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(71)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1855; RMG #1855
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(67)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1856; RMG #1856
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H17LR(70)<=>C6H8(125)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1857; RMG #1857
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H20R(64)<=>C6H8(125)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1858; RMG #1858
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H20L(76)<=>C6H8(125)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1859; RMG #1859
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C6H7(123)<=>C3H5R(12)+C6H8(125) 2.451710e+27 -4.376 7.102
-
-! Reaction index: Chemkin #1860; RMG #1860
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1861; RMG #1861
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1862; RMG #1862
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(125)+C6H11R(17) 2.451710e+27 -4.376 6.915
-
-! Reaction index: Chemkin #1863; RMG #1863
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C6H7(123)<=>C3H6(18)+C6H8(125) 4.903420e+27 -4.376 6.997
-
-! Reaction index: Chemkin #1864; RMG #1864
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C6H7(123)<=>C2H3L(19)+C6H8(125) 2.451710e+27 -4.376 7.102
-
-! Reaction index: Chemkin #1865; RMG #1865
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1866; RMG #1866
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C8H16L(15)<=>C6H8(125)+C8H15L(21) 2.451710e+27 -4.376 6.915
-
-! Reaction index: Chemkin #1867; RMG #1867
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H14R(9)<=>C6H8(125)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1868; RMG #1868
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(24)+C6H8(125) 2.451710e+27 -4.376 6.915
-
-! Reaction index: Chemkin #1869; RMG #1869
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H12L(11)<=>C6H8(125)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1870; RMG #1870
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(125)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1871; RMG #1871
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C[CH]CC(C)CR(5)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1872; RMG #1872
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CC(C)L(7)+C6H7(123)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1873; RMG #1873
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C6H7(123)<=>C3H5R(58)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1874; RMG #1874
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H7(123)<=>C3H5L(59)+C6H8(125) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1875; RMG #1875
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H7(123)<=>C4H7R(60)+C6H8(125) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1876; RMG #1876
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C8H16L(15)<=>C6H8(125)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1877; RMG #1877
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C7H14R(9)<=>C6H8(125)+C7H13R(62) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1878; RMG #1878
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C6H12L(11)<=>C6H8(125)+C6H11L(63) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #1879; RMG #1879
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1880; RMG #1880
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H9(114)<=>C(75)+C6H8(125) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #1881; RMG #1881
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H9(114)<=>[H][H](83)+C6H8(125) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #1882; RMG #1882
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H15(85)<=>C6H8(125)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1883; RMG #1883
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C8H16L(15)<=>C6H8(125)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #1884; RMG #1884
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C6H7(123)+C6H9(114)<=>C6H8(118)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #1885; RMG #1885
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H9(114)<=>C6H8(125)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1886; RMG #1886
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C7H11(126); C6H8(125), C7H11(126);
-! From training reaction 94 used for Cds-CsH_Cds-CdCs;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C6H8(125)<=>C7H11(126) 1.079950e+05 2.652 -2.017
-
-! Reaction index: Chemkin #1887; RMG #1887
-! Library reaction: restart
-! Flux pairs: C7H11(127), C7H11(126);
-! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S
-C7H11(127)<=>C7H11(126) 1.572550e+29 -4.713 39.081
-
-! Reaction index: Chemkin #1888; RMG #1888
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C8H13LR(128); C5H7L(104), C8H13LR(128);
-! From training reaction 293 used for Cds-HH_Cds-CdCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C5H7L(104)<=>C8H13LR(128) 2.180000e+03 2.410 0.340
-
-! Reaction index: Chemkin #1889; RMG #1889
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4R(78), C8H11LR(129); C5H7L(104), C8H11LR(129);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H4R(78)+C5H7L(104)<=>C8H11LR(129) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #1890; RMG #1890
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5(102), C7H10L(130); C4H5L(91), C7H10L(130);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5(102)+C4H5L(91)<=>C7H10L(130) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1891; RMG #1891
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C6H10L(131); C5H7L(104), C6H10L(131);
-! From training reaction 291 used for Cds-HH_Cds-CdCs;CsJ-HHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C5H7L(104)<=>C6H10L(131) 2.680000e+04 2.410 2.100
-
-! Reaction index: Chemkin #1892; RMG #1892
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H14L(132); C6H9(113), C9H14L(132);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H9(113)<=>C9H14L(132) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1893; RMG #1893
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C6H8R2(133); C3H4R(78), C6H8R2(133);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C3H4R(78)+C3H4R(78)<=>C6H8R2(133) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1894; RMG #1894
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C8H11LR(134); C4H6R(79), C8H11LR(134);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C4H6R(79)<=>C8H11LR(134) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1895; RMG #1895
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H16L(135); C6H9(113), C11H16L(135);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H9(113)<=>C11H16L(135) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #1896; RMG #1896
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H16L(136); C6H9(113), C11H16L(136);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H9(113)<=>C11H16L(136) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #1897; RMG #1897
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H16R(137); C6H9(113), C10H16R(137);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H9(113)<=>C10H16R(137) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1898; RMG #1898
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C5H9LR(138); C3H5R(12), C5H9LR(138);
-! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C3H5R(12)<=>C5H9LR(138) 1.710000e+03 2.410 3.550
-
-! Reaction index: Chemkin #1899; RMG #1899
-! Library reaction: restart
-! Flux pairs: CH3(74), CC(L)CC(C)CR(37); C5H9LR(138), CC(L)CC(C)CR(37);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C5H9LR(138)<=>CC(L)CC(C)CR(37) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1900; RMG #1900
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C6H10L(139); C3H5(102), C6H10L(139);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C3H5(102)<=>C6H10L(139) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1901; RMG #1901
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H16R(140); C6H9(113), C10H16R(140);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H9(113)<=>C10H16R(140) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1902; RMG #1902
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5(102), C8H12L(141); C5H7L(104), C8H12L(141);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5(102)+C5H7L(104)<=>C8H12L(141) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #1903; RMG #1903
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H6R(79), C9H13LR(142); C5H7L(104), C9H13LR(142);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H6R(79)+C5H7L(104)<=>C9H13LR(142) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #1904; RMG #1904
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C7H11LR(143); C4H6R(79), C7H11LR(143);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C4H6R(79)<=>C7H11LR(143) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1905; RMG #1905
-! Library reaction: restart
-! Flux pairs: C6H9LR(99), C6H9LR(144);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Ext-8R!H-R_Ext-4R!H-R_N-Sp-9R!H=8R!H
-C6H9LR(99)<=>C6H9LR(144) 9.833340e+10 0.517 17.349
-
-! Reaction index: Chemkin #1906; RMG #1906
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C6H9L2(145); C4H5L(91), C6H9L2(145);
-! From training reaction 473 used for Cds-CsH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C4H5L(91)<=>C6H9L2(145) 9.220000e+02 2.410 2.240
-
-! Reaction index: Chemkin #1907; RMG #1907
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4R(78), C7H11R2(146); C4H7R(60), C7H11R2(146);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H4R(78)+C4H7R(60)<=>C7H11R2(146) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1908; RMG #1908
-! Library reaction: restart
-! Flux pairs: H(82), C3H5L(59); C3H4L(147), C3H5L(59);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C3H4L(147)<=>C3H5L(59) 3.251960e+13 0.255 0.000
-
-! Reaction index: Chemkin #1909; RMG #1909
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+[CH2]C(C)CR(6)<=>C3H4L(147)+CC(C)CR(20) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1910; RMG #1910
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CR(10), CCCR(27); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C[CH]CR(10)<=>C3H4L(147)+CCCR(27) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1911; RMG #1911
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C[CH]CC(C)CR(5)<=>C3H4L(147)+CCCC(C)CR(32) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1912; RMG #1912
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+[CH2]C(C)L(4)<=>C3H4L(147)+CC(C)L(13) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1913; RMG #1913
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C7H14R(9)<=>C3H4L(147)+CC(C)CC(C)CR(23) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1914; RMG #1914
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C[CH]CC(C)L(7)<=>C3H4L(147)+CCCC(C)L(16) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1915; RMG #1915
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(59), C3H4L(147); C[CH]L(8), CCL(26);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C3H5L(59)<=>CCL(26)+C3H4L(147) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1916; RMG #1916
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C6H12L(11)<=>C3H4L(147)+CC(C)CC(C)L(25) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1917; RMG #1917
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(12); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C[CH]CR(10)<=>C3H5L(59)+C3H5R(12) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1918; RMG #1918
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(59), C3H4L(147); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C3H5L(59)<=>CR(22)+C3H4L(147) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1919; RMG #1919
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C[CH]CC(C)CR(5)<=>C3H5L(59)+C6H11R(17) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1920; RMG #1920
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C3H4L(147)+C[CH]C(94)<=>C3H5L(59)+C3H6(18) 4.903420e+27 -4.376 6.166
-
-! Reaction index: Chemkin #1921; RMG #1921
-! Library reaction: restart
-! Flux pairs: C3H4L(147), C3H5L(59); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C3H4L(147)<=>C2H3L(19)+C3H5L(59) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #1922; RMG #1922
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C8H16L(15)<=>C3H5L(59)+C8H15L(21) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1923; RMG #1923
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C[CH]CC(C)L(7)<=>C3H5L(59)+C5H9L(24) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #1924; RMG #1924
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C[CH]CC(C)CR(5)<=>C3H5L(59)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1925; RMG #1925
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C[CH]CC(C)L(7)<=>C3H5L(59)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1926; RMG #1926
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C[CH]CR(10)<=>C3H5L(59)+C3H5R(58) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1927; RMG #1927
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(59); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5L(59) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1928; RMG #1928
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+[CH2]C(C)CR(6)<=>C3H5L(59)+C4H7R(60) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1929; RMG #1929
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C8H16L(15)<=>C3H5L(59)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1930; RMG #1930
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C7H14R(9)<=>C3H5L(59)+C7H13R(62) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1931; RMG #1931
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C6H12L(11)<=>C3H5L(59)+C6H11L(63) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #1932; RMG #1932
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C10H20R(64)<=>C3H4L(147)+RC10(2) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1933; RMG #1933
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(65)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1934; RMG #1934
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(66)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1935; RMG #1935
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(70)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1936; RMG #1936
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(71)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1937; RMG #1937
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C8H16L(15)<=>C3H4L(147)+C8H17L(49) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1938; RMG #1938
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(67)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1939; RMG #1939
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(68)<=>C3H4L(147)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1940; RMG #1940
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(69)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1941; RMG #1941
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(72)<=>C3H4L(147)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1942; RMG #1942
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C9H17LR(73)<=>C3H4L(147)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1943; RMG #1943
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(59), C3H4L(147); CH3(74), C(75);
-! From training reaction 760 used for C/H3/Cd\Cs_Cd\H2;C_methyl
-! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C3H5L(59)<=>C(75)+C3H4L(147) 5.940000e-02 4.260 7.550
-
-! Reaction index: Chemkin #1944; RMG #1944
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C10H20L(76)<=>C3H4L(147)+LC10(3) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #1945; RMG #1945
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C5H9L(57)<=>C3H5L(59)+C5H8L(77) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1946; RMG #1946
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C5H9L(84)<=>C3H5L(59)+C5H8L(77) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1947; RMG #1947
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(12), C3H5L(59); C3H4L(147), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C3H5R(12)<=>C3H4R(78)+C3H5L(59) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1948; RMG #1948
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H5L(59); C3H4L(147), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C3H5R(58)<=>C3H4R(78)+C3H5L(59) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1949; RMG #1949
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C4H7R(60)<=>C3H5L(59)+C4H6R(79) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1950; RMG #1950
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H4L(147)+C4H7R(81)<=>C3H5L(59)+C4H6R(79) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1951; RMG #1951
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(59), C3H4L(147); H(82), [H][H](83);
-! From training reaction 759 used for C/H3/Cd\Cs_Cd\H2;H_rad
-! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C3H5L(59)<=>[H][H](83)+C3H4L(147) 2.514000e+03 3.180 4.370
-
-! Reaction index: Chemkin #1952; RMG #1952
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C7H15(85)<=>C3H4L(147)+CC(C)CC(C)C(87) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1953; RMG #1953
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C5H9L(24)<=>C3H5L(59)+C5H8L(89) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1954; RMG #1954
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C3H4L(147), C3H5L(59);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C5H9L(57)<=>C3H5L(59)+C5H8L(89) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1955; RMG #1955
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C6H11R(56)<=>C3H5L(59)+C6H10R(90) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1956; RMG #1956
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H11R(98)<=>C3H5L(59)+C6H10R(90) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1957; RMG #1957
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]C(94), CCC(95); C3H5L(59), C3H4L(147);
-! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C[CH]C(94)<=>C3H4L(147)+CCC(95) 1.008000e-03 4.340 4.700
-
-! Reaction index: Chemkin #1958; RMG #1958
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C3H6(18)<=>C3H5L(59)+C3H5(102) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1959; RMG #1959
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H11L(63)<=>C3H5L(59)+C6H10L(103) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1960; RMG #1960
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H4L(147)+C6H11L(107)<=>C3H5L(59)+C6H10L(103) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1961; RMG #1961
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C7H13R(62)<=>C3H5L(59)+C7H12R(108) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1962; RMG #1962
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C3H4L(147)+C7H13R(120)<=>C3H5L(59)+C7H12R(108) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #1963; RMG #1963
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C8H15L(61)<=>C3H5L(59)+C8H14L(112) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #1964; RMG #1964
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C6H10(110)<=>C3H5L(59)+C6H9(113) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1965; RMG #1965
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H10(116)<=>C3H5L(59)+C6H9(114) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1966; RMG #1966
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1967; RMG #1967
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H8(118)<=>C3H5L(59)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1968; RMG #1968
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H8(125)<=>C3H5L(59)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #1969; RMG #1969
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #1970; RMG #1970
-! Library reaction: restart
-! Flux pairs: C7H9LR(100), C7H9LR(148);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R
-C7H9LR(100)<=>C7H9LR(148) 2.322560e-20 8.934 1.317
-
-! Reaction index: Chemkin #1971; RMG #1971
-! Library reaction: restart
-! Flux pairs: C3H4L(147), L[C]1CC1(149);
-! Estimated from node Backbone0
-C3H4L(147)<=>L[C]1CC1(149) 1.014560e+05 2.304 29.598
-
-! Reaction index: Chemkin #1972; RMG #1972
-! Library reaction: restart
-! Flux pairs: C7H9LR(148), C7H9LR(150);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R
-C7H9LR(148)<=>C7H9LR(150) 4.825870e+53 -11.671 43.097
-
-! Reaction index: Chemkin #1973; RMG #1973
-! Library reaction: restart
-! Flux pairs: C7H9LR(100), C7H9LR(151);
-! Estimated from node Backbone4_N-Sp-5R!H-2R!H_Sp-2R!H-1R!H_N-3R!H-inRing_6R!H->C_Sp-3R!H-1R!H
-C7H9LR(100)<=>C7H9LR(151) 5.228090e+01 2.741 14.849
-
-! Reaction index: Chemkin #1974; RMG #1974
-! Library reaction: restart
-! Flux pairs: C7H9LR(151), C7H9LR(150);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R
-C7H9LR(151)<=>C7H9LR(150) 4.825870e+53 -11.671 45.710
-
-! Reaction index: Chemkin #1975; RMG #1975
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4L(147), C7H9L2(152); C4H5L(91), C7H9L2(152);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H4L(147)+C4H5L(91)<=>C7H9L2(152) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #1976; RMG #1976
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5(102), C7H12R(153); C4H7R(60), C7H12R(153);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5(102)+C4H7R(60)<=>C7H12R(153) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #1977; RMG #1977
-! Library reaction: restart
-! Flux pairs: C7H9LR(151), C7H9LR(154);
-! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-7R!H-R_4R!H-inRing
-C7H9LR(151)<=>C7H9LR(154) 6.090000e+08 0.695 15.986
-
-! Reaction index: Chemkin #1978; RMG #1978
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), CC[C](C)L(155); C3H5L(59), CC[C](C)L(155);
-! From training reaction 255 used for Cds-HH_Cds-CsCs;CsJ-HHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C3H5L(59)<=>CC[C](C)L(155) 2.640000e+04 2.410 4.930
-
-! Reaction index: Chemkin #1979; RMG #1979
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C7H13R(62); C4H7(156), C7H13R(62);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C4H7(156)<=>C7H13R(62) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1980; RMG #1980
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), C6H11L(63); C4H7(156), C6H11L(63);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C4H7(156)<=>C6H11L(63) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #1981; RMG #1981
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(65)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1982; RMG #1982
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(69)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1983; RMG #1983
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(66)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1984; RMG #1984
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(68)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1985; RMG #1985
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(72)<=>C4H7(156)+RC10L(1) 8.640000e-05 4.520 1.460
-
-! Reaction index: Chemkin #1986; RMG #1986
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(73)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1987; RMG #1987
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(71)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1988; RMG #1988
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(67)<=>C4H7(156)+RC10L(1) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1989; RMG #1989
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C9H17LR(70)<=>C4H7(156)+RC10L(1) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1990; RMG #1990
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C10H20R(64)<=>C4H7(156)+RC10(2) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1991; RMG #1991
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C10H20L(76)<=>C4H7(156)+LC10(3) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1992; RMG #1992
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C3H5R(12), C3H4R(78);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H5R(12)+C4H7(156)<=>C3H4R(78)+C4H8(157) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #1993; RMG #1993
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C4H8(157)<=>CC(C)L(13)+C4H7(156) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1994; RMG #1994
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C[CH]CC(C)L(7)<=>C4H7(156)+CCCC(C)L(16) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #1995; RMG #1995
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C3H6(18), C3H5(102);
-! Estimated using template [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H6(18)+C4H7(156)<=>C3H5(102)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #1996; RMG #1996
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+[CH2]C(C)CR(6)<=>C4H7(156)+CC(C)CR(20) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1997; RMG #1997
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]R(14)+C4H8(157)<=>CR(22)+C4H7(156) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1998; RMG #1998
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C7H14R(9)<=>C4H7(156)+CC(C)CC(C)CR(23) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #1999; RMG #1999
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C5H9L(24)<=>C4H8(157)+C5H8L(89) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2000; RMG #2000
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C6H12L(11)<=>C4H7(156)+CC(C)CC(C)L(25) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #2001; RMG #2001
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); C[CH]L(8), CCL(26);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]L(8)+C4H8(157)<=>CCL(26)+C4H7(156) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #2002; RMG #2002
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); C[CH]CR(10), CCCR(27);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]CR(10)+C4H8(157)<=>CCCR(27)+C4H7(156) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #2003; RMG #2003
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C[CH]CC(C)CR(5)<=>C4H7(156)+CCCC(C)CR(32) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #2004; RMG #2004
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C4H8(157), C4H7(156);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C8H16L(15)<=>C4H7(156)+C8H17L(49) 2.400730e-04 4.665 5.150
-
-! Reaction index: Chemkin #2005; RMG #2005
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C6H11R(56)<=>C4H8(157)+C6H10R(90) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2006; RMG #2006
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C5H9L(57)<=>C4H8(157)+C5H8L(77) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2007; RMG #2007
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C5H9L(57)<=>C4H8(157)+C5H8L(89) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2008; RMG #2008
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5R(58)+C4H7(156)<=>C3H4R(78)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2009; RMG #2009
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C3H5L(59), C3H4L(147);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5L(59)+C4H7(156)<=>C3H4L(147)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2010; RMG #2010
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C4H7R(60), C4H6R(79);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7R(60)+C4H7(156)<=>C4H6R(79)+C4H8(157) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2011; RMG #2011
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C8H15L(61)<=>C4H8(157)+C8H14L(112) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2012; RMG #2012
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C7H13R(62)<=>C4H8(157)+C7H12R(108) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2013; RMG #2013
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H11L(63)<=>C4H8(157)+C6H10L(103) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2014; RMG #2014
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); CH3(74), C(75);
-! Matched reaction 760 CH3_r3 + C4H8 <=> CH4b + C4H7 in H_Abstraction/training
-! This reaction matched rate rule [C_methane;C_rad/H2/Cd\Cs_Cd\H2]
-! family: H_Abstraction
-CH3(74)+C4H8(157)<=>C(75)+C4H7(156) 1.188000e-01 4.260 7.550
-
-! Reaction index: Chemkin #2015; RMG #2015
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C4H7R(81), C4H6R(79);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H7R(81)+C4H7(156)<=>C4H6R(79)+C4H8(157) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #2016; RMG #2016
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); H(82), [H][H](83);
-! Matched reaction 759 H + C4H8 <=> H2 + C4H7 in H_Abstraction/training
-! This reaction matched rate rule [H2;C_rad/H2/Cd\Cs_Cd\H2]
-! family: H_Abstraction
-H(82)+C4H8(157)<=>[H][H](83)+C4H7(156) 5.028000e+03 3.180 4.370
-
-! Reaction index: Chemkin #2017; RMG #2017
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C5H9L(84)<=>C4H8(157)+C5H8L(77) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2018; RMG #2018
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C7H15(85)<=>C4H7(156)+CC(C)CC(C)C(87) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #2019; RMG #2019
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); C[CH]C(94), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C[CH]C(94)+C4H8(157)<=>CCC(95)+C4H7(156) 2.016000e-03 4.340 4.700
-
-! Reaction index: Chemkin #2020; RMG #2020
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H11R(98)<=>C4H8(157)+C6H10R(90) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2021; RMG #2021
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H7(156)+C6H11L(107)<=>C4H8(157)+C6H10L(103) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #2022; RMG #2022
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C6H10(110)<=>C4H8(157)+C6H9(113) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2023; RMG #2023
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2024; RMG #2024
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2025; RMG #2025
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H10(116)<=>C4H8(157)+C6H9(114) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2026; RMG #2026
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H8(118)<=>C4H8(157)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2027; RMG #2027
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H7(156)+C7H13R(120)<=>C4H8(157)+C7H12R(108) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #2028; RMG #2028
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H8(125)<=>C4H8(157)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2029; RMG #2029
-! Library reaction: restart
-! Flux pairs: H(82), C4H8(157); C4H7(156), C4H8(157);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C4H7(156)<=>C4H8(157) 3.251960e+13 0.255 0.000
-
-! Reaction index: Chemkin #2030; RMG #2030
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C4H7(156)<=>C3H5R(12)+C4H8(157) 2.451710e+27 -4.376 5.972
-
-! Reaction index: Chemkin #2031; RMG #2031
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C[CH]CC(C)CR(5)<=>C4H8(157)+C6H11R(17) 2.451710e+27 -4.376 5.805
-
-! Reaction index: Chemkin #2032; RMG #2032
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C4H7(156)<=>C3H6(18)+C4H8(157) 4.903420e+27 -4.376 5.879
-
-! Reaction index: Chemkin #2033; RMG #2033
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C4H7(156)<=>C2H3L(19)+C4H8(157) 2.451710e+27 -4.376 5.972
-
-! Reaction index: Chemkin #2034; RMG #2034
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C8H16L(15)<=>C4H8(157)+C8H15L(21) 2.451710e+27 -4.376 5.805
-
-! Reaction index: Chemkin #2035; RMG #2035
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C[CH]CC(C)L(7)<=>C4H8(157)+C5H9L(24) 2.451710e+27 -4.376 5.805
-
-! Reaction index: Chemkin #2036; RMG #2036
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C[CH]CC(C)CR(5)<=>C4H8(157)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2037; RMG #2037
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C[CH]CC(C)L(7)<=>C4H8(157)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2038; RMG #2038
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C4H7(156)<=>C3H5R(58)+C4H8(157) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2039; RMG #2039
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C4H7(156)<=>C3H5L(59)+C4H8(157) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #2040; RMG #2040
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H8(157); C4H7(156), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H8(157) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #2041; RMG #2041
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C8H16L(15)<=>C4H8(157)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2042; RMG #2042
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C7H14R(9)<=>C4H8(157)+C7H13R(62) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #2043; RMG #2043
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C6H12L(11)<=>C4H8(157)+C6H11L(63) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #2044; RMG #2044
-! Library reaction: restart
-! Flux pairs: C4H7(156), C[C]1CC1(158);
-! Estimated from node Backbone0
-C4H7(156)<=>C[C]1CC1(158) 1.014560e+05 2.304 29.056
-
-! Reaction index: Chemkin #2045; RMG #2045
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H15(159); C6H9(114), C9H15(159);
-! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H9(114)<=>C9H15(159) 3.860000e+03 2.410 11.370
-
-! Reaction index: Chemkin #2046; RMG #2046
-! Library reaction: restart
-! Flux pairs: H(82), C6H10(116); C6H9(160), C6H10(116);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H9(160)<=>C6H10(116) 7.360220e+13 -0.486 0.000
-
-! Reaction index: Chemkin #2047; RMG #2047
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H10(116)<=>CC(C)CR(20)+C6H9(160) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2048; RMG #2048
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H10(116)<=>CCCR(27)+C6H9(160) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2049; RMG #2049
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C[CH]CC(C)CR(5)<=>C6H9(160)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2050; RMG #2050
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H10(116)<=>CC(C)L(13)+C6H9(160) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2051; RMG #2051
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H14R(9)<=>C6H9(160)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2052; RMG #2052
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H10(116)<=>CCCC(C)L(16)+C6H9(160) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2053; RMG #2053
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H10(116)<=>CCL(26)+C6H9(160) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2054; RMG #2054
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C6H12L(11)<=>C6H9(160)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2055; RMG #2055
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C6H9(160)<=>C3H5R(12)+C6H10(116) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2056; RMG #2056
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H10(116)<=>CR(22)+C6H9(160) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2057; RMG #2057
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(17) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2058; RMG #2058
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C6H9(160)<=>C3H6(18)+C6H10(116) 4.903420e+27 -4.376 7.519
-
-! Reaction index: Chemkin #2059; RMG #2059
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C6H9(160)<=>C2H3L(19)+C6H10(116) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2060; RMG #2060
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C8H16L(15)<=>C6H10(116)+C8H15L(21) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2061; RMG #2061
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)L(7)+C6H9(160)<=>C5H9L(24)+C6H10(116) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2062; RMG #2062
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C[CH]CC(C)CR(5)<=>C6H10(116)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2063; RMG #2063
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CC(C)L(7)+C6H9(160)<=>C5H9L(57)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2064; RMG #2064
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C6H9(160)<=>C3H5R(58)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2065; RMG #2065
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H9(160)<=>C3H5L(59)+C6H10(116) 1.051630e+14 -0.550 0.110
-
-! Reaction index: Chemkin #2066; RMG #2066
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H9(160)<=>C4H7R(60)+C6H10(116) 1.051630e+14 -0.550 0.110
-
-! Reaction index: Chemkin #2067; RMG #2067
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C8H16L(15)<=>C6H10(116)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2068; RMG #2068
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H9(160)+C7H14R(9)<=>C6H10(116)+C7H13R(62) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2069; RMG #2069
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H9(160)+C6H12L(11)<=>C6H10(116)+C6H11L(63) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2070; RMG #2070
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H9(160), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(65) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2071; RMG #2071
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(66)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2072; RMG #2072
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(67)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2073; RMG #2073
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(68)<=>C6H9(160)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2074; RMG #2074
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H9(160), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(69) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2075; RMG #2075
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(70)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2076; RMG #2076
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(71)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2077; RMG #2077
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H9(160), C6H10(116);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+RC10L(1)<=>C6H10(116)+C9H17LR(72) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2078; RMG #2078
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C9H17LR(73)<=>C6H9(160)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2079; RMG #2079
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C(75)+C6H9(160)<=>CH3(74)+C6H10(116) 8.480000e-02 4.340 24.900
-
-! Reaction index: Chemkin #2080; RMG #2080
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(57)+C6H9(160)<=>C5H8L(77)+C6H10(116) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2081; RMG #2081
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H10(116)<=>C5H9L(84)+C6H9(160) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2082; RMG #2082
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(116)<=>C3H5R(12)+C6H9(160) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2083; RMG #2083
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H10(116)<=>C3H5R(58)+C6H9(160) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2084; RMG #2084
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(116)<=>C4H7R(60)+C6H9(160) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2085; RMG #2085
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H10(116)<=>C4H7R(81)+C6H9(160) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2086; RMG #2086
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H9(160)<=>H(82)+C6H10(116) 9.160000e-02 4.340 22.252
-
-! Reaction index: Chemkin #2087; RMG #2087
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H15(85)<=>C6H9(160)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2088; RMG #2088
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(116)<=>C5H9L(24)+C6H9(160) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2089; RMG #2089
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H10(116)<=>C5H9L(57)+C6H9(160) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2090; RMG #2090
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C6H11R(56)<=>C6H10(116)+C6H10R(90) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2091; RMG #2091
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C6H10R(90)<=>C6H9(160)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2092; RMG #2092
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-CCC(95)+C6H9(160)<=>C[CH]C(94)+C6H10(116) 2.952000e-02 4.340 18.000
-
-! Reaction index: Chemkin #2093; RMG #2093
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H6(18)+C6H9(160)<=>C3H5(102)+C6H10(116) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2094; RMG #2094
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11L(63); C6H10L(103), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H10(116)<=>C6H9(160)+C6H11L(63) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2095; RMG #2095
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11L(107); C6H10L(103), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H10(116)<=>C6H9(160)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2096; RMG #2096
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H12R(108)<=>C6H9(160)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2097; RMG #2097
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C7H12R(108)<=>C6H9(160)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2098; RMG #2098
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C8H15L(61)<=>C6H10(116)+C8H14L(112) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2099; RMG #2099
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H10(116); C6H9(160), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H9(160)+C6H10(110)<=>C6H9(113)+C6H10(116) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2100; RMG #2100
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H10(116); C6H9(160), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9(160)+C6H10(116)<=>C6H9(114)+C6H10(116) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2101; RMG #2101
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H9(114)<=>C6H8(118)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2102; RMG #2102
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C8H16L(15)<=>C6H9(160)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2103; RMG #2103
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H20R(64)<=>C6H9(160)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2104; RMG #2104
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H20L(76)<=>C6H9(160)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2105; RMG #2105
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(118)+C6H9(160)<=>C6H7(123)+C6H10(116) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2106; RMG #2106
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(125)+C6H9(160)<=>C6H7(123)+C6H10(116) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2107; RMG #2107
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(65)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2108; RMG #2108
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(69)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2109; RMG #2109
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(66)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2110; RMG #2110
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(68)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2111; RMG #2111
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(72)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2112; RMG #2112
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(73)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2113; RMG #2113
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(71)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2114; RMG #2114
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(67)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2115; RMG #2115
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H17LR(70)<=>C6H8(125)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2116; RMG #2116
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H20R(64)<=>C6H8(125)+RC10(2) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2117; RMG #2117
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H20L(76)<=>C6H8(125)+LC10(3) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2118; RMG #2118
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4R(78)+C6H9(160)<=>C3H5R(12)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2119; RMG #2119
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)L(4)+C6H9(160)<=>CC(C)L(13)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2120; RMG #2120
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CC(C)L(7)+C6H9(160)<=>CCCC(C)L(16)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2121; RMG #2121
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C3H5(102)+C6H9(160)<=>C3H6(18)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2122; RMG #2122
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)CR(6)+C6H9(160)<=>CC(C)CR(20)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2123; RMG #2123
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]R(14)+C6H9(160)<=>CR(22)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2124; RMG #2124
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H14R(9)<=>C6H8(125)+CC(C)CC(C)CR(23) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2125; RMG #2125
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H8L(89)+C6H9(160)<=>C5H9L(24)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2126; RMG #2126
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H12L(11)<=>C6H8(125)+CC(C)CC(C)L(25) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2127; RMG #2127
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]L(8)+C6H9(160)<=>CCL(26)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2128; RMG #2128
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C6H9(160)<=>CCCR(27)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2129; RMG #2129
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C[CH]CC(C)CR(5)<=>C6H8(125)+CCCC(C)CR(32) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2130; RMG #2130
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10R(90)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2131; RMG #2131
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H8L(77)+C6H9(160)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2132; RMG #2132
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H8L(89)+C6H9(160)<=>C5H9L(57)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2133; RMG #2133
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4R(78)+C6H9(160)<=>C3H5R(58)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2134; RMG #2134
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C3H4L(147)+C6H9(160)<=>C3H5L(59)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2135; RMG #2135
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(79)+C6H9(160)<=>C4H7R(60)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2136; RMG #2136
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C8H14L(112)<=>C6H8(125)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2137; RMG #2137
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H12R(108)<=>C6H8(125)+C7H13R(62) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2138; RMG #2138
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10L(103)<=>C6H8(125)+C6H11L(63) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2139; RMG #2139
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H9(160)<=>C(75)+C6H8(125) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2140; RMG #2140
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 4.0
-CH3(74)+C6H9(160)<=>C(75)+C6H8(125) 1.824940e+13 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2141; RMG #2141
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(79)+C6H9(160)<=>C4H7R(81)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2142; RMG #2142
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 4.0
-H(82)+C6H9(160)<=>[H][H](83)+C6H8(125) 2.383380e+10 0.568 0.000
-
-! Reaction index: Chemkin #2143; RMG #2143
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H8L(77)+C6H9(160)<=>C5H9L(84)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2144; RMG #2144
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H15(85)<=>C6H8(125)+CC(C)CC(C)C(87) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2145; RMG #2145
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]C(94)+C6H9(160)<=>CCC(95)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2146; RMG #2146
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10R(90)<=>C6H8(125)+C6H11R(98) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2147; RMG #2147
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10L(103)<=>C6H8(125)+C6H11L(107) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2148; RMG #2148
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H9(113)<=>C6H8(125)+C6H10(110) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2149; RMG #2149
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C6H9(160)+C6H9(114)<=>C6H8(125)+C6H10(116) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2150; RMG #2150
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C6H9(160)+C6H9(160)<=>C6H8(125)+C6H10(116) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2151; RMG #2151
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H12R(108)<=>C6H8(125)+C7H13R(120) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2152; RMG #2152
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C8H16L(15)<=>C6H8(125)+C8H17L(49) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2153; RMG #2153
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C6H7(123)+C6H9(160)<=>C6H8(118)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2154; RMG #2154
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C6H7(123)+C6H9(160)<=>C6H8(125)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2155; RMG #2155
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H9(160); C6H8(125), C6H9(160);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H8(125)<=>C6H9(160) 1.650000e+09 1.480 0.900
-
-! Reaction index: Chemkin #2156; RMG #2156
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H10(116)<=>C3H5L(59)+C6H9(160) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2157; RMG #2157
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H10(116)<=>C4H8(157)+C6H9(160) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2158; RMG #2158
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C4H7(156)+C6H9(160)<=>C4H8(157)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2159; RMG #2159
-! Library reaction: restart
-! Flux pairs: C6H9(161), C6H9(160);
-! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S
-C6H9(161)<=>C6H9(160) 1.572550e+29 -4.713 38.627
-
-! Reaction index: Chemkin #2160; RMG #2160
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4L(147), C8H11L2(162); C5H7L(104), C8H11L2(162);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H4L(147)+C5H7L(104)<=>C8H11L2(162) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #2161; RMG #2161
-! Template reaction: R_Recombination
-! Flux pairs: C3H5(102), C6H10(163); C3H5(102), C6H10(163);
-! Matched reaction 125 C3H5 + C3H5 <=> C6H10-2 in R_Recombination/training
-! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-
-! Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R]
-! family: R_Recombination
-C3H5(102)+C3H5(102)<=>C6H10(163) 2.040000e+13 0.000 -0.260
-
-! Reaction index: Chemkin #2162; RMG #2162
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C8H12L(164); C4H7(156), C8H12L(164);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C4H7(156)<=>C8H12L(164) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #2163; RMG #2163
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C6H8R2(165); C3H4R(78), C6H8R2(165);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C3H4R(78)+C3H4R(78)<=>C6H8R2(165) 1.740640e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2164; RMG #2164
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H14L(166); C6H9(161), C9H14L(166);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H9(161)<=>C9H14L(166) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2165; RMG #2165
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H14L(167); C6H9(161), C10H14L(167);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H9(161)<=>C10H14L(167) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #2166; RMG #2166
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H16L(168); C6H9(161), C11H16L(168);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H9(161)<=>C11H16L(168) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #2167; RMG #2167
-! Library reaction: restart
-! Flux pairs: H(82), C6H11L(107); C6H10L(169), C6H11L(107);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R
-H(82)+C6H10L(169)<=>C6H11L(107) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #2168; RMG #2168
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11L(107)<=>CC(C)CR(20)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2169; RMG #2169
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11L(107)<=>CCCR(27)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2170; RMG #2170
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C[CH]CC(C)CR(5)<=>C6H10L(169)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2171; RMG #2171
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11L(107)<=>CC(C)L(13)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2172; RMG #2172
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C7H14R(9)<=>C6H10L(169)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2173; RMG #2173
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11L(107)<=>CCCC(C)L(16)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2174; RMG #2174
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C6H11L(107)<=>CCL(26)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2175; RMG #2175
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C6H12L(11)<=>C6H10L(169)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2176; RMG #2176
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10L(169)<=>C3H5R(12)+C6H11L(107) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2177; RMG #2177
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C6H11L(107)<=>CR(22)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2178; RMG #2178
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C8H16L(15)<=>C6H10L(169)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2179; RMG #2179
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11L(107); C6H10L(169), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(107) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2180; RMG #2180
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10L(169)<=>C3H6(18)+C6H11L(107) 2.451710e+27 -4.376 7.254
-
-! Reaction index: Chemkin #2181; RMG #2181
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10L(169)<=>C2H3L(19)+C6H11L(107) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2182; RMG #2182
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C8H16L(15)<=>C6H11L(107)+C8H15L(21) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2183; RMG #2183
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(24)+C6H11L(107) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2184; RMG #2184
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11L(107)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2185; RMG #2185
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(57)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2186; RMG #2186
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10L(169)<=>C3H5R(58)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2187; RMG #2187
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10L(169)<=>C3H5L(59)+C6H11L(107) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2188; RMG #2188
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10L(169)<=>C4H7R(60)+C6H11L(107) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2189; RMG #2189
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C8H16L(15)<=>C6H11L(107)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2190; RMG #2190
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(169)+C7H14R(9)<=>C6H11L(107)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2191; RMG #2191
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(107); C6H10L(169), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(169)+C6H12L(11)<=>C6H11L(63)+C6H11L(107) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2192; RMG #2192
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C10H20R(64)<=>C6H10L(169)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2193; RMG #2193
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(107), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(65)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2194; RMG #2194
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(66)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2195; RMG #2195
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(67)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2196; RMG #2196
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(68)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2197; RMG #2197
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(107), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(69)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2198; RMG #2198
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(70)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2199; RMG #2199
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(71)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2200; RMG #2200
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(107), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(72)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2201; RMG #2201
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C9H17LR(73)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2202; RMG #2202
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C6H11L(107)<=>C(75)+C6H10L(169) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #2203; RMG #2203
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C10H20L(76)<=>C6H10L(169)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2204; RMG #2204
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(169), C6H11L(107); C5H9L(57), C5H8L(77);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10L(169)<=>C5H8L(77)+C6H11L(107) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2205; RMG #2205
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C6H11L(107)<=>C5H9L(84)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2206; RMG #2206
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(107)<=>C3H5R(12)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2207; RMG #2207
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(107)<=>C3H5R(58)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2208; RMG #2208
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(107)<=>C4H7R(60)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2209; RMG #2209
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(107)<=>C4H7R(81)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2210; RMG #2210
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C7H15(85)<=>C6H10L(169)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2211; RMG #2211
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(107)<=>C5H9L(24)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2212; RMG #2212
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(107)<=>C5H9L(57)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2213; RMG #2213
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11L(107); C6H10L(169), C6H10R(90);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(169)+C6H11R(56)<=>C6H10R(90)+C6H11L(107) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2214; RMG #2214
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11R(98); C6H10R(90), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C6H11L(107)<=>C6H10L(169)+C6H11R(98) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2215; RMG #2215
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C6H11L(107)<=>CCC(95)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2216; RMG #2216
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C6H11L(107)<=>C3H6(18)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2217; RMG #2217
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11L(63); C6H10L(103), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11L(107)<=>C6H10L(169)+C6H11L(63) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2218; RMG #2218
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11L(107); C6H10L(103), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11L(107)<=>C6H10L(169)+C6H11L(107) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2219; RMG #2219
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C7H12R(108)<=>C6H10L(169)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2220; RMG #2220
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C7H12R(108)<=>C6H10L(169)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2221; RMG #2221
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10L(169), C6H11L(107);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(169)+C8H15L(61)<=>C6H11L(107)+C8H14L(112) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2222; RMG #2222
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C6H11L(107)<=>C6H10(110)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2223; RMG #2223
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C6H11L(107)<=>C6H10(116)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2224; RMG #2224
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(169)<=>C6H8(118)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2225; RMG #2225
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11L(107)<=>C6H8(118)+C6H10L(169) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2226; RMG #2226
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11L(107)<=>C6H8(125)+C6H10L(169) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2227; RMG #2227
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(169)<=>C6H8(125)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2228; RMG #2228
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10L(169)<=>C6H8(125)+C6H11L(107) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2229; RMG #2229
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C6H11L(107)<=>C3H5L(59)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2230; RMG #2230
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C6H11L(107)<=>C4H8(157)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2231; RMG #2231
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C6H11L(107)<=>C6H10(116)+C6H10L(169) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2232; RMG #2232
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C6H11L(107)<=>[H][H](83)+C6H10L(169) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #2233; RMG #2233
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4L(147), C6H9L2(170); C3H5L(59), C6H9L2(170);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H4L(147)+C3H5L(59)<=>C6H9L2(170) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2234; RMG #2234
-! Library reaction: restart
-! Flux pairs: H(82), C6H11R(17); C6H10R(171), C6H11R(17);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C6H10R(171)<=>C6H11R(17) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #2235; RMG #2235
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11R(17)<=>CC(C)CR(20)+C6H10R(171) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2236; RMG #2236
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11R(17)<=>CCCR(27)+C6H10R(171) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2237; RMG #2237
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C[CH]CC(C)CR(5)<=>C6H10R(171)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2238; RMG #2238
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11R(17)<=>CC(C)L(13)+C6H10R(171) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2239; RMG #2239
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C7H14R(9)<=>C6H10R(171)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2240; RMG #2240
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11R(17)<=>CCCC(C)L(16)+C6H10R(171) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2241; RMG #2241
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H11R(17)<=>CCL(26)+C6H10R(171) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2242; RMG #2242
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C6H12L(11)<=>C6H10R(171)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2243; RMG #2243
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10R(171)<=>C3H5R(12)+C6H11R(17) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2244; RMG #2244
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H11R(17)<=>CR(22)+C6H10R(171) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2245; RMG #2245
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C8H16L(15)<=>C6H10R(171)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2246; RMG #2246
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(17) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #2247; RMG #2247
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10R(171)<=>C3H6(18)+C6H11R(17) 2.451710e+27 -4.376 6.946
-
-! Reaction index: Chemkin #2248; RMG #2248
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10R(171)<=>C2H3L(19)+C6H11R(17) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2249; RMG #2249
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C8H16L(15)<=>C6H11R(17)+C8H15L(21) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #2250; RMG #2250
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(24)+C6H11R(17) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #2251; RMG #2251
-! Library reaction: restart
-! Flux pairs: H(82), C6H11R(56); C6H10R(171), C6H11R(56);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C6H10R(171)<=>C6H11R(56) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #2252; RMG #2252
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11R(56)<=>CC(C)CR(20)+C6H10R(171) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2253; RMG #2253
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C[CH]CR(10), CCCR(27);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11R(56)<=>CCCR(27)+C6H10R(171) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2254; RMG #2254
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C[CH]CC(C)CR(5)<=>C6H10R(171)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2255; RMG #2255
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11R(56)<=>CC(C)L(13)+C6H10R(171) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2256; RMG #2256
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11R(56)<=>CCCC(C)L(16)+C6H10R(171) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2257; RMG #2257
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C6H11R(56)<=>CCL(26)+C6H10R(171) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2258; RMG #2258
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C6H12L(11)<=>C6H10R(171)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2259; RMG #2259
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10R(171)<=>C3H5R(12)+C6H11R(56) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2260; RMG #2260
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C6H11R(56)<=>CR(22)+C6H10R(171) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2261; RMG #2261
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2262; RMG #2262
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11R(56) 1.225850e+27 -4.376 6.090
-DUPLICATE
-
-! Reaction index: Chemkin #2263; RMG #2263
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10R(171)<=>C3H6(18)+C6H11R(56) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #2264; RMG #2264
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10R(171)<=>C2H3L(19)+C6H11R(56) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2265; RMG #2265
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C8H16L(15)<=>C6H11R(56)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #2266; RMG #2266
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(24)+C6H11R(56) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #2267; RMG #2267
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H11R(56)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2268; RMG #2268
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(57)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2269; RMG #2269
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10R(171)<=>C3H5R(58)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2270; RMG #2270
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10R(171)<=>C5H9L(57)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2271; RMG #2271
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10R(171)<=>C3H5R(58)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2272; RMG #2272
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10R(171)<=>C3H5L(59)+C6H11R(17) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2273; RMG #2273
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H10R(171)<=>C3H5L(59)+C6H11R(56) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2274; RMG #2274
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10R(171)<=>C4H7R(60)+C6H11R(17) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2275; RMG #2275
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H10R(171)<=>C4H7R(60)+C6H11R(56) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2276; RMG #2276
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C7H14R(9)<=>C6H11R(17)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2277; RMG #2277
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11R(17); C6H10R(171), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H12L(11)<=>C6H11L(63)+C6H11R(17) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2278; RMG #2278
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C10H20R(64)<=>C6H10R(171)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2279; RMG #2279
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C8H16L(15)<=>C6H11R(17)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2280; RMG #2280
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(171), C6H11R(17);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(65) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #2281; RMG #2281
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C8H16L(15)<=>C6H11R(56)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2282; RMG #2282
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C7H14R(9)<=>C6H11R(56)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2283; RMG #2283
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11R(56); C6H10R(171), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C6H12L(11)<=>C6H11L(63)+C6H11R(56) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2284; RMG #2284
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C7H14R(9)<=>C6H10R(171)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2285; RMG #2285
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C8H16L(15)<=>C6H10R(171)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2286; RMG #2286
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C10H20R(64)<=>C6H10R(171)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2287; RMG #2287
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H10R(171), C6H11R(56);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2288; RMG #2288
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(66)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2289; RMG #2289
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(67)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2290; RMG #2290
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(68)<=>C6H10R(171)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2291; RMG #2291
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(171), C6H11R(56);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2292; RMG #2292
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(70)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2293; RMG #2293
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(71)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2294; RMG #2294
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(171), C6H11R(56);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(56)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2295; RMG #2295
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(66)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2296; RMG #2296
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(67)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2297; RMG #2297
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(68)<=>C6H10R(171)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2298; RMG #2298
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H10R(171), C6H11R(17);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(69) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #2299; RMG #2299
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(70)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2300; RMG #2300
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(71)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2301; RMG #2301
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H10R(171), C6H11R(17);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+RC10L(1)<=>C6H11R(17)+C9H17LR(72) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #2302; RMG #2302
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C9H17LR(73)<=>C6H10R(171)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2303; RMG #2303
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C9H17LR(73)<=>C6H10R(171)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2304; RMG #2304
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H10R(171)<=>CH3(74)+C6H11R(17) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #2305; RMG #2305
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); CH3(74), C(75);
-! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C6H11R(56)<=>C(75)+C6H10R(171) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #2306; RMG #2306
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C10H20L(76)<=>C6H10R(171)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2307; RMG #2307
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C10H20L(76)<=>C6H10R(171)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2308; RMG #2308
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10R(171)<=>C5H8L(77)+C6H11R(17) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2309; RMG #2309
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H11R(17)<=>C5H9L(84)+C6H10R(171) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2310; RMG #2310
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(57), C5H8L(77);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H10R(171)<=>C5H8L(77)+C6H11R(56) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2311; RMG #2311
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C6H10R(171)<=>C5H8L(77)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2312; RMG #2312
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H11R(17)<=>C3H5R(12)+C6H10R(171) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2313; RMG #2313
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H11R(17)<=>C3H5R(58)+C6H10R(171) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2314; RMG #2314
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C6H10R(171)<=>C3H4R(78)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2315; RMG #2315
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+C6H10R(171)<=>C3H4R(78)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2316; RMG #2316
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H11R(17)<=>C4H7R(60)+C6H10R(171) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2317; RMG #2317
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H11R(17)<=>C4H7R(81)+C6H10R(171) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2318; RMG #2318
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C6H10R(171)<=>C4H6R(79)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2319; RMG #2319
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C6H10R(171)<=>C4H6R(79)+C6H11R(56) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2320; RMG #2320
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); H(82), [H][H](83);
-! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C6H11R(56)<=>[H][H](83)+C6H10R(171) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #2321; RMG #2321
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[H][H](83)+C6H10R(171)<=>H(82)+C6H11R(17) 4.580000e-02 4.340 22.200
-
-! Reaction index: Chemkin #2322; RMG #2322
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C7H15(85)<=>C6H10R(171)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2323; RMG #2323
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H11R(56)+C7H15(85)<=>C6H10R(171)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2324; RMG #2324
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H10R(171)<=>C5H8L(89)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2325; RMG #2325
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H11R(17)<=>C5H9L(57)+C6H10R(171) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2326; RMG #2326
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C6H10R(171)<=>C5H8L(89)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2327; RMG #2327
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L(57)+C6H10R(171)<=>C5H8L(89)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2328; RMG #2328
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11R(17); C6H10R(171), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11R(56)<=>C6H10R(90)+C6H11R(17) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2329; RMG #2329
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H11R(98); C6H10R(90), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C6H11R(17)<=>C6H10R(171)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2330; RMG #2330
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H11R(56); C6H10R(171), C6H10R(90);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11R(56)<=>C6H10R(90)+C6H11R(56) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2331; RMG #2331
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H11R(56); C6H10R(171), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H11R(98)<=>C6H10R(90)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2332; RMG #2332
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H10R(171)<=>C[CH]C(94)+C6H11R(17) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #2333; RMG #2333
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H10R(171)<=>C[CH]C(94)+C6H11R(56) 2.920000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2334; RMG #2334
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H10R(171)<=>C3H5(102)+C6H11R(17) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2335; RMG #2335
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H10R(171)<=>C3H5(102)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2336; RMG #2336
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H11R(17); C6H10R(171), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(63)<=>C6H10L(103)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2337; RMG #2337
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H11L(107); C6H10L(103), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C6H11R(17)<=>C6H10R(171)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2338; RMG #2338
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H11R(56); C6H10R(171), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(63)<=>C6H10L(103)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2339; RMG #2339
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11R(56); C6H10R(171), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(107)<=>C6H10L(103)+C6H11R(56) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2340; RMG #2340
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(171), C6H11R(17);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(62)<=>C6H11R(17)+C7H12R(108) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2341; RMG #2341
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(17)+C7H12R(108)<=>C6H10R(171)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2342; RMG #2342
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(62)<=>C6H11R(56)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2343; RMG #2343
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(120)<=>C6H11R(56)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2344; RMG #2344
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(171), C6H11R(17);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C8H15L(61)<=>C6H11R(17)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2345; RMG #2345
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H10R(171), C6H11R(56);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C8H15L(61)<=>C6H11R(56)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2346; RMG #2346
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H10R(171)<=>C6H9(113)+C6H11R(17) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2347; RMG #2347
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C6H10R(171)<=>C6H9(113)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2348; RMG #2348
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11R(17); C6H10R(171), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H10(116)<=>C6H9(114)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2349; RMG #2349
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11R(56); C6H10R(171), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H10(116)<=>C6H9(114)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2350; RMG #2350
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(171)<=>C6H8(118)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2351; RMG #2351
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(171)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2352; RMG #2352
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(171)<=>C6H7(123)+C6H11R(17) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2353; RMG #2353
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H10R(171)<=>C6H7(123)+C6H11R(17) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2354; RMG #2354
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8(118), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(171)<=>C6H7(123)+C6H11R(56) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2355; RMG #2355
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8(125), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H10R(171)<=>C6H7(123)+C6H11R(56) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2356; RMG #2356
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(171)<=>C6H8(125)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2357; RMG #2357
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10R(171)<=>C6H8(125)+C6H11R(17) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2358; RMG #2358
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(171)<=>C6H8(125)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2359; RMG #2359
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10R(171)<=>C6H8(125)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2360; RMG #2360
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H11R(17)<=>C3H5L(59)+C6H10R(171) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2361; RMG #2361
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C3H4L(147), C3H5L(59);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C6H11R(56)<=>C3H5L(59)+C6H10R(171) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2362; RMG #2362
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H11R(17)<=>C4H8(157)+C6H10R(171) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2363; RMG #2363
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C6H11R(56)<=>C4H8(157)+C6H10R(171) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2364; RMG #2364
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11R(17); C6H10R(171), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H10(116)<=>C6H9(160)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2365; RMG #2365
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H11R(56); C6H10R(171), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H10(116)<=>C6H9(160)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2366; RMG #2366
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11R(17); C6H10R(171), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(107)<=>C6H10L(169)+C6H11R(17) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2367; RMG #2367
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H11R(56); C6H10R(171), C6H10L(169);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(107)<=>C6H10L(169)+C6H11R(56) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2368; RMG #2368
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H11R(56); C6H10R(171), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C6H11R(17)<=>C6H10R(171)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #2369; RMG #2369
-! Library reaction: restart
-! Flux pairs: C7H11LR(143), C7H11LR(172);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Ext-8R!H-R_Ext-4R!H-R_N-Sp-9R!H=8R!H
-C7H11LR(143)<=>C7H11LR(172) 9.833340e+10 0.517 17.705
-
-! Reaction index: Chemkin #2370; RMG #2370
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]R(14), C6H10R(171); C5H8(173), C6H10R(171);
-! From training reaction 472 used for Cds-CsH_Cds-CdH;CsJ-CsHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-[CH2]R(14)+C5H8(173)<=>C6H10R(171) 1.150000e+03 2.410 3.430
-
-! Reaction index: Chemkin #2371; RMG #2371
-! Library reaction: restart
-! Flux pairs: H(82), C5H8(173); C5H7(174), C5H8(173);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C5H7(174)<=>C5H8(173) 3.251960e+13 0.255 0.000
-
-! Reaction index: Chemkin #2372; RMG #2372
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H8(173)<=>CC(C)CR(20)+C5H7(174) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2373; RMG #2373
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H8(173)<=>CCCR(27)+C5H7(174) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2374; RMG #2374
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C[CH]CC(C)CR(5)<=>C5H7(174)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2375; RMG #2375
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H8(173)<=>CC(C)L(13)+C5H7(174) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2376; RMG #2376
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C7H14R(9)<=>C5H7(174)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2377; RMG #2377
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C[CH]CC(C)L(7)<=>C5H7(174)+CCCC(C)L(16) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2378; RMG #2378
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C5H8(173)<=>CCL(26)+C5H7(174) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2379; RMG #2379
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H12L(11)<=>C5H7(174)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2380; RMG #2380
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C5H7(174)<=>C3H5R(12)+C5H8(173) 2.451710e+27 -4.376 8.206
-
-! Reaction index: Chemkin #2381; RMG #2381
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C5H8(173)<=>CR(22)+C5H7(174) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2382; RMG #2382
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C[CH]CC(C)CR(5)<=>C5H8(173)+C6H11R(17) 2.451710e+27 -4.376 8.002
-
-! Reaction index: Chemkin #2383; RMG #2383
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C5H7(174)<=>C3H6(18)+C5H8(173) 4.903420e+27 -4.376 8.092
-
-! Reaction index: Chemkin #2384; RMG #2384
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C5H7(174)<=>C2H3L(19)+C5H8(173) 2.451710e+27 -4.376 8.206
-
-! Reaction index: Chemkin #2385; RMG #2385
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C8H16L(15)<=>C5H8(173)+C8H15L(21) 2.451710e+27 -4.376 8.002
-
-! Reaction index: Chemkin #2386; RMG #2386
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C[CH]CC(C)L(7)<=>C5H8(173)+C5H9L(24) 2.451710e+27 -4.376 8.002
-
-! Reaction index: Chemkin #2387; RMG #2387
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C[CH]CC(C)CR(5)<=>C5H8(173)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2388; RMG #2388
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C[CH]CC(C)L(7)<=>C5H8(173)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2389; RMG #2389
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C5H7(174)<=>C3H5R(58)+C5H8(173) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2390; RMG #2390
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C5H7(174)<=>C3H5L(59)+C5H8(173) 1.566000e+12 0.000 0.211
-
-! Reaction index: Chemkin #2391; RMG #2391
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C5H7(174)<=>C4H7R(60)+C5H8(173) 1.566000e+12 0.000 0.211
-
-! Reaction index: Chemkin #2392; RMG #2392
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C8H16L(15)<=>C5H8(173)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2393; RMG #2393
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C7H14R(9)<=>C5H8(173)+C7H13R(62) 1.566000e+12 0.000 0.172
-
-! Reaction index: Chemkin #2394; RMG #2394
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H12L(11)<=>C5H8(173)+C6H11L(63) 1.566000e+12 0.000 0.172
-
-! Reaction index: Chemkin #2395; RMG #2395
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H7(174), C5H8(173);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(65) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2396; RMG #2396
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(66)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2397; RMG #2397
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(67)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2398; RMG #2398
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(68)<=>C5H7(174)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2399; RMG #2399
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C5H7(174), C5H8(173);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(69) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2400; RMG #2400
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(70)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2401; RMG #2401
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(71)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2402; RMG #2402
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C5H7(174), C5H8(173);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+RC10L(1)<=>C5H8(173)+C9H17LR(72) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #2403; RMG #2403
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C9H17LR(73)<=>C5H7(174)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2404; RMG #2404
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(174), C5H8(173); C(75), CH3(74);
-! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C(75)+C5H7(174)<=>CH3(74)+C5H8(173) 1.120000e-01 4.340 25.080
-
-! Reaction index: Chemkin #2405; RMG #2405
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C5H9L(57)<=>C5H8(173)+C5H8L(77) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2406; RMG #2406
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C5H8L(77)<=>C5H7(174)+C5H9L(84) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2407; RMG #2407
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C5H8(173)<=>C3H5R(12)+C5H7(174) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2408; RMG #2408
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C5H8(173)<=>C3H5R(58)+C5H7(174) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2409; RMG #2409
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C5H8(173)<=>C4H7R(60)+C5H7(174) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2410; RMG #2410
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C5H8(173)<=>C4H7R(81)+C5H7(174) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2411; RMG #2411
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C7H15(85)<=>C5H7(174)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2412; RMG #2412
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C5H8L(89)<=>C5H7(174)+C5H9L(24) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2413; RMG #2413
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C5H8L(89)<=>C5H7(174)+C5H9L(57) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2414; RMG #2414
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C6H11R(56)<=>C5H8(173)+C6H10R(90) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2415; RMG #2415
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H10R(90)<=>C5H7(174)+C6H11R(98) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2416; RMG #2416
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(174), C5H8(173); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-CCC(95)+C5H7(174)<=>C[CH]C(94)+C5H8(173) 5.840000e-02 4.340 18.555
-
-! Reaction index: Chemkin #2417; RMG #2417
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(174), C5H8(173); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H6(18)+C5H7(174)<=>C3H5(102)+C5H8(173) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2418; RMG #2418
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H10L(103)<=>C5H7(174)+C6H11L(63) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2419; RMG #2419
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H10L(103)<=>C5H7(174)+C6H11L(107) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2420; RMG #2420
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C7H12R(108)<=>C5H7(174)+C7H13R(62) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2421; RMG #2421
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C7H12R(108)<=>C5H7(174)+C7H13R(120) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2422; RMG #2422
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C8H15L(61)<=>C5H8(173)+C8H14L(112) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2423; RMG #2423
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C5H7(174), C5H8(173);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H7(174)+C6H10(110)<=>C5H8(173)+C6H9(113) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2424; RMG #2424
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H9(114)<=>C5H7(174)+C6H10(116) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2425; RMG #2425
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2426; RMG #2426
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H7(174), C5H8(173);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(174)+C6H8(118)<=>C5H8(173)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2427; RMG #2427
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H7(174), C5H8(173);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(174)+C6H8(125)<=>C5H8(173)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2428; RMG #2428
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2429; RMG #2429
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(174)+C6H9(160)<=>C5H8(173)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2430; RMG #2430
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C5H8(173)<=>C3H5L(59)+C5H7(174) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2431; RMG #2431
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C5H8(173)<=>C4H8(157)+C5H7(174) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2432; RMG #2432
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H8(173)+C6H9(160)<=>C5H7(174)+C6H10(116) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2433; RMG #2433
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C6H11L(107)<=>C5H8(173)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2434; RMG #2434
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H10R(171)<=>C5H7(174)+C6H11R(17) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2435; RMG #2435
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H10R(171)<=>C5H7(174)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #2436; RMG #2436
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C10H20R(64)<=>C5H7(174)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2437; RMG #2437
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C10H20L(76)<=>C5H7(174)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2438; RMG #2438
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C8H16L(15)<=>C5H7(174)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #2439; RMG #2439
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(174), C5H8(173); [H][H](83), H(82);
-! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-! Ea raised from 101.3 to 102.4 kJ/mol to match endothermicity of reaction.
-! Ea raised from 102.4 to 102.4 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C5H7(174)<=>H(82)+C5H8(173) 1.212000e-01 4.340 24.463
-
-! Reaction index: Chemkin #2440; RMG #2440
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C9H12L(175); C5H7(174), C9H12L(175);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C5H7(174)<=>C9H12L(175) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #2441; RMG #2441
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C8H12L(176); C5H7(174), C8H12L(176);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C5H7(174)<=>C8H12L(176) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2442; RMG #2442
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C9H14R(177); C5H7(174), C9H14R(177);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C5H7(174)<=>C9H14R(177) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2443; RMG #2443
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C5H7(174), C5H7(178);
-! Matched reaction 141 C5H7-3 <=> C5H7-4 in Intra_R_Add_Endocyclic/training
-! This reaction matched rate rule [Backbone2_Sp-3R!H=1R!H_N-4R!H->S]
-! family: Intra_R_Add_Endocyclic
-C5H7(174)<=>C5H7(178) 1.026760e+11 0.557 37.541
-
-! Reaction index: Chemkin #2444; RMG #2444
-! Library reaction: restart
-! Flux pairs: C5H7(174), C10H14(179); C5H7(178), C10H14(179);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C5H7(178)<=>C10H14(179) 7.071720e+16 -1.003 0.000
-
-! Reaction index: Chemkin #2445; RMG #2445
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H7(178), C5H8(180);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(65) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2446; RMG #2446
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C5H7(178), C5H8(180);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(69) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2447; RMG #2447
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(66)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2448; RMG #2448
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(68)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2449; RMG #2449
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C5H7(178), C5H8(180);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+RC10L(1)<=>C5H8(180)+C9H17LR(72) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #2450; RMG #2450
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(73)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2451; RMG #2451
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(71)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2452; RMG #2452
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(67)<=>C5H7(178)+RC10L(1) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2453; RMG #2453
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C9H17LR(70)<=>C5H7(178)+RC10L(1) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2454; RMG #2454
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C10H20R(64)<=>C5H7(178)+RC10(2) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2455; RMG #2455
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C10H20L(76)<=>C5H7(178)+LC10(3) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2456; RMG #2456
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4R(78)+C5H8(180)<=>C3H5R(12)+C5H7(178) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2457; RMG #2457
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H8(180)<=>CC(C)L(13)+C5H7(178) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2458; RMG #2458
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C[CH]CC(C)L(7)<=>C5H7(178)+CCCC(C)L(16) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2459; RMG #2459
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H10R(171)<=>C5H7(178)+C6H11R(17) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2460; RMG #2460
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H6(18)+C5H7(178)<=>C3H5(102)+C5H8(180) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2461; RMG #2461
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H8(180)<=>CC(C)CR(20)+C5H7(178) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2462; RMG #2462
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]R(14)+C5H8(180)<=>CR(22)+C5H7(178) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2463; RMG #2463
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C7H14R(9)<=>C5H7(178)+CC(C)CC(C)CR(23) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2464; RMG #2464
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C5H8L(89)<=>C5H7(178)+C5H9L(24) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2465; RMG #2465
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H12L(11)<=>C5H7(178)+CC(C)CC(C)L(25) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2466; RMG #2466
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]L(8)+C5H8(180)<=>CCL(26)+C5H7(178) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2467; RMG #2467
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H8(180)<=>CCCR(27)+C5H7(178) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2468; RMG #2468
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C[CH]CC(C)CR(5)<=>C5H7(178)+CCCC(C)CR(32) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2469; RMG #2469
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C8H16L(15)<=>C5H7(178)+C8H17L(49) 3.412000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2470; RMG #2470
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C6H11R(56)<=>C5H8(180)+C6H10R(90) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2471; RMG #2471
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H10R(171)<=>C5H7(178)+C6H11R(56) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2472; RMG #2472
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C5H9L(57)<=>C5H8(180)+C5H8L(77) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2473; RMG #2473
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C5H8L(89)<=>C5H7(178)+C5H9L(57) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2474; RMG #2474
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4R(78)+C5H8(180)<=>C3H5R(58)+C5H7(178) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2475; RMG #2475
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C3H4L(147)+C5H8(180)<=>C3H5L(59)+C5H7(178) 3.616000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2476; RMG #2476
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(79)+C5H8(180)<=>C4H7R(60)+C5H7(178) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2477; RMG #2477
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C8H15L(61)<=>C5H8(180)+C8H14L(112) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2478; RMG #2478
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C7H12R(108)<=>C5H7(178)+C7H13R(62) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2479; RMG #2479
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H10L(103)<=>C5H7(178)+C6H11L(63) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2480; RMG #2480
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C(75)+C5H7(178)<=>CH3(74)+C5H8(180) 8.480000e-02 4.340 24.900
-
-! Reaction index: Chemkin #2481; RMG #2481
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(79)+C5H8(180)<=>C4H7R(81)+C5H7(178) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2482; RMG #2482
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 93.1 to 93.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C5H7(178)<=>H(82)+C5H8(180) 9.160000e-02 4.340 22.252
-
-! Reaction index: Chemkin #2483; RMG #2483
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C5H8L(77)<=>C5H7(178)+C5H9L(84) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2484; RMG #2484
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C7H15(85)<=>C5H7(178)+CC(C)CC(C)C(87) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2485; RMG #2485
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-CCC(95)+C5H7(178)<=>C[CH]C(94)+C5H8(180) 2.952000e-02 4.340 18.000
-
-! Reaction index: Chemkin #2486; RMG #2486
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H10R(90)<=>C5H7(178)+C6H11R(98) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2487; RMG #2487
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C6H11L(107)<=>C5H8(180)+C6H10L(169) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2488; RMG #2488
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H10L(103)<=>C5H7(178)+C6H11L(107) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2489; RMG #2489
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C5H7(178), C5H8(180);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H7(178)+C6H10(110)<=>C5H8(180)+C6H9(113) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2490; RMG #2490
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C5H8(180)+C6H9(160)<=>C5H7(178)+C6H10(116) 1.832000e-02 4.340 11.700
-
-! Reaction index: Chemkin #2491; RMG #2491
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C6H9(114)<=>C5H7(178)+C6H10(116) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #2492; RMG #2492
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H7(178), C5H8(180);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C6H8(118)<=>C5H8(180)+C6H7(123) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2493; RMG #2493
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C7H12R(108)<=>C5H7(178)+C7H13R(120) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2494; RMG #2494
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H7(178), C5H8(180);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C6H8(125)<=>C5H8(180)+C6H7(123) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2495; RMG #2495
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C4H7(156)+C5H8(180)<=>C4H8(157)+C5H7(178) 3.616000e-02 4.340 11.200
-
-! Reaction index: Chemkin #2496; RMG #2496
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H8(180); C5H7(178), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H7(178)+C5H8(173)<=>C5H7(174)+C5H8(180) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #2497; RMG #2497
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C5H7(178)<=>C3H5R(58)+C5H8(180) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2498; RMG #2498
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C5H7(178)<=>C3H5R(12)+C5H8(180) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2499; RMG #2499
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C5H7(178)<=>C2H3L(19)+C5H8(180) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2500; RMG #2500
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2501; RMG #2501
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2502; RMG #2502
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(178)+C6H9(160)<=>C5H8(180)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2503; RMG #2503
-! Library reaction: restart
-! Flux pairs: H(82), C5H8(180); C5H7(178), C5H8(180);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C5H7(178)<=>C5H8(180) 3.152860e+13 -0.222 0.000
-
-! Reaction index: Chemkin #2504; RMG #2504
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C[CH]CC(C)CR(5)<=>C5H8(180)+C6H11R(17) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2505; RMG #2505
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C5H7(178)<=>C3H6(18)+C5H8(180) 4.903420e+27 -4.376 7.519
-
-! Reaction index: Chemkin #2506; RMG #2506
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C8H16L(15)<=>C5H8(180)+C8H15L(21) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2507; RMG #2507
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C[CH]CC(C)L(7)<=>C5H8(180)+C5H9L(24) 2.451710e+27 -4.376 7.433
-
-! Reaction index: Chemkin #2508; RMG #2508
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C[CH]CC(C)CR(5)<=>C5H8(180)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2509; RMG #2509
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C[CH]CC(C)L(7)<=>C5H8(180)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2510; RMG #2510
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C5H7(178)<=>C3H5L(59)+C5H8(180) 1.051630e+14 -0.550 0.110
-
-! Reaction index: Chemkin #2511; RMG #2511
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C5H7(178)<=>C4H7R(60)+C5H8(180) 1.051630e+14 -0.550 0.110
-
-! Reaction index: Chemkin #2512; RMG #2512
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C8H16L(15)<=>C5H8(180)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2513; RMG #2513
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C7H14R(9)<=>C5H8(180)+C7H13R(62) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2514; RMG #2514
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C6H12L(11)<=>C5H8(180)+C6H11L(63) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2515; RMG #2515
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C11H17(181); C6H10(110), C11H17(181);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C6H10(110)<=>C11H17(181) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #2516; RMG #2516
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C10H14L(182); C5H7(174), C10H14L(182);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C5H7(174)<=>C10H14L(182) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #2517; RMG #2517
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C10H15(183); C5H8(173), C10H15(183);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C5H8(173)<=>C10H15(183) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #2518; RMG #2518
-! Library reaction: restart
-! Flux pairs: C5H7(174), C10H14(184); C5H7(174), C10H14(184);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C5H7(174)<=>C10H14(184) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2519; RMG #2519
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C10H15(183); C10H14(184), C10H15(183);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-H(82)+C10H14(184)<=>C10H15(183) 4.620000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #2520; RMG #2520
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #2521; RMG #2521
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #2522; RMG #2522
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2523; RMG #2523
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2524; RMG #2524
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #2525; RMG #2525
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2526; RMG #2526
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2527; RMG #2527
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2528; RMG #2528
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C10H15(183)<=>RC10L(1)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2529; RMG #2529
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C10H20R(64)<=>C10H14(184)+RC10(2) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2530; RMG #2530
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C10H20L(76)<=>C10H14(184)+LC10(3) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2531; RMG #2531
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C10H15(183)<=>C3H5R(12)+C10H14(184) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #2532; RMG #2532
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C10H15(183)<=>CC(C)L(13)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2533; RMG #2533
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H15(183)<=>CCCC(C)L(16)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2534; RMG #2534
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C10H15(183)<=>C6H11R(17)+C10H14(184) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #2535; RMG #2535
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C10H15(183)<=>C3H6(18)+C10H14(184) 2.451710e+27 -4.376 8.460
-
-! Reaction index: Chemkin #2536; RMG #2536
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C10H15(183)<=>CC(C)CR(20)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2537; RMG #2537
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C10H15(183)<=>CR(22)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2538; RMG #2538
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C10H15(183)<=>CC(C)CC(C)CR(23)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2539; RMG #2539
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C10H15(183)<=>C5H9L(24)+C10H14(184) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #2540; RMG #2540
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C10H15(183)<=>CC(C)CC(C)L(25)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2541; RMG #2541
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H15(183)<=>CCL(26)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2542; RMG #2542
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H15(183)<=>CCCR(27)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2543; RMG #2543
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H15(183)<=>CCCC(C)CR(32)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2544; RMG #2544
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H15(183)<=>C6H11R(56)+C10H14(184) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #2545; RMG #2545
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C10H15(183)<=>C6H11R(56)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2546; RMG #2546
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H15(183)<=>C5H9L(57)+C10H14(184) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #2547; RMG #2547
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C10H15(183)<=>C5H9L(57)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2548; RMG #2548
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C10H15(183)<=>C3H5R(58)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2549; RMG #2549
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C10H15(183)<=>C3H5L(59)+C10H14(184) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2550; RMG #2550
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C10H15(183)<=>C4H7R(60)+C10H14(184) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #2551; RMG #2551
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C10H15(183)<=>C8H15L(61)+C10H14(184) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #2552; RMG #2552
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C10H15(183)<=>C7H13R(62)+C10H14(184) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #2553; RMG #2553
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C10H15(183)<=>C6H11L(63)+C10H14(184) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #2554; RMG #2554
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C10H15(183)<=>C(75)+C10H14(184) 1.225850e+27 -4.376 4.703
-
-! Reaction index: Chemkin #2555; RMG #2555
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C10H15(183)<=>C4H7R(81)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2556; RMG #2556
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C10H15(183)<=>[H][H](83)+C10H14(184) 1.225850e+27 -4.376 4.864
-
-! Reaction index: Chemkin #2557; RMG #2557
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H15(183)<=>C5H9L(84)+C10H14(184) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #2558; RMG #2558
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C10H15(183)<=>CC(C)CC(C)C(87)+C10H14(184) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #2559; RMG #2559
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C10H15(183)<=>CCC(95)+C10H14(184) 1.225850e+27 -4.376 5.985
-
-! Reaction index: Chemkin #2560; RMG #2560
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H15(183)<=>C6H11R(98)+C10H14(184) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #2561; RMG #2561
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C10H15(183)<=>C6H11L(107)+C10H14(184) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #2562; RMG #2562
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C10H15(183)<=>C6H11L(107)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2563; RMG #2563
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C10H15(183)<=>C6H10(110)+C10H14(184) 1.225850e+27 -4.376 10.849
-
-! Reaction index: Chemkin #2564; RMG #2564
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C10H15(183)<=>C6H10(116)+C10H14(184) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #2565; RMG #2565
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C10H15(183)<=>C6H10(116)+C10H14(184) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #2566; RMG #2566
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C10H15(183)<=>C6H8(118)+C10H14(184) 2.451710e+27 -4.376 9.335
-
-! Reaction index: Chemkin #2567; RMG #2567
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C10H15(183)<=>C7H13R(120)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #2568; RMG #2568
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C10H15(183)<=>C6H8(125)+C10H14(184) 2.451710e+27 -4.376 9.433
-
-! Reaction index: Chemkin #2569; RMG #2569
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C10H15(183)<=>C4H8(157)+C10H14(184) 2.451710e+27 -4.376 8.079
-
-! Reaction index: Chemkin #2570; RMG #2570
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C10H15(183)<=>C5H8(173)+C10H14(184) 2.451710e+27 -4.376 10.743
-
-! Reaction index: Chemkin #2571; RMG #2571
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C10H15(183)<=>C5H8(180)+C10H14(184) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #2572; RMG #2572
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H15(183)<=>C8H17L(49)+C10H14(184) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #2573; RMG #2573
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C9H12L(185); C5H7(174), C9H12L(185);
-! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C5H7(174)<=>C9H12L(185) 2.380000e+04 2.410 10.290
-
-! Reaction index: Chemkin #2574; RMG #2574
-! Library reaction: restart
-! Flux pairs: C5H7(178), C10H14(186); C5H7(178), C10H14(186);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C5H7(178)<=>C10H14(186) 1.000000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #2575; RMG #2575
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C5H7(178); C5H6(187), C5H7(178);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-H(82)+C5H6(187)<=>C5H7(178) 3.300000e+09 1.480 0.900
-
-! Reaction index: Chemkin #2576; RMG #2576
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C5H7(178)<=>CCCR(27)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2577; RMG #2577
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]L(8)+C5H7(178)<=>CCL(26)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2578; RMG #2578
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H8L(77)<=>C5H6(187)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2579; RMG #2579
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H8L(77)<=>C5H6(187)+C5H9L(84) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2580; RMG #2580
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4R(78)+C5H7(178)<=>C3H5R(12)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2581; RMG #2581
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4R(78)+C5H7(178)<=>C3H5R(58)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2582; RMG #2582
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(79)+C5H7(178)<=>C4H7R(60)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2583; RMG #2583
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(79)+C5H7(178)<=>C4H7R(81)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2584; RMG #2584
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10R(90)<=>C5H6(187)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2585; RMG #2585
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10R(90)<=>C5H6(187)+C6H11R(98) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2586; RMG #2586
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C3H5(102)+C5H7(178)<=>C3H6(18)+C5H6(187) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2587; RMG #2587
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H9(113)<=>C5H6(187)+C6H10(110) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2588; RMG #2588
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H9(114)<=>C5H6(187)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2589; RMG #2589
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(178)+C6H7(123)<=>C5H6(187)+C6H8(118) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2590; RMG #2590
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(178)+C6H7(123)<=>C5H6(187)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2591; RMG #2591
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C3H4L(147)+C5H7(178)<=>C3H5L(59)+C5H6(187) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2592; RMG #2592
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C4H7(156)+C5H7(178)<=>C4H8(157)+C5H6(187) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2593; RMG #2593
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(178)+C6H9(160)<=>C5H6(187)+C6H10(116) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2594; RMG #2594
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(173); C5H7(174), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(174)+C5H7(178)<=>C5H6(187)+C5H8(173) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2595; RMG #2595
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C5H7(178)+C5H7(178)<=>C5H6(187)+C5H8(180) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #2596; RMG #2596
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H8L(89)<=>C5H6(187)+C5H9L(24) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2597; RMG #2597
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H8L(89)<=>C5H6(187)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2598; RMG #2598
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10L(103)<=>C5H6(187)+C6H11L(63) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2599; RMG #2599
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10L(103)<=>C5H6(187)+C6H11L(107) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2600; RMG #2600
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H12R(108)<=>C5H6(187)+C7H13R(62) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2601; RMG #2601
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H12R(108)<=>C5H6(187)+C7H13R(120) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2602; RMG #2602
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10L(169)<=>C5H6(187)+C6H11L(107) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2603; RMG #2603
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(65)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2604; RMG #2604
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(69)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2605; RMG #2605
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(66)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2606; RMG #2606
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(68)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2607; RMG #2607
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(72)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2608; RMG #2608
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(73)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2609; RMG #2609
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(71)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2610; RMG #2610
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(67)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2611; RMG #2611
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H17LR(70)<=>C5H6(187)+RC10L(1) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2612; RMG #2612
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H20R(64)<=>C5H6(187)+RC10(2) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2613; RMG #2613
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H20L(76)<=>C5H6(187)+LC10(3) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2614; RMG #2614
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)L(4)+C5H7(178)<=>CC(C)L(13)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2615; RMG #2615
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C[CH]CC(C)L(7)<=>C5H6(187)+CCCC(C)L(16) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2616; RMG #2616
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10R(171)<=>C5H6(187)+C6H11R(17) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2617; RMG #2617
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)CR(6)+C5H7(178)<=>CC(C)CR(20)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2618; RMG #2618
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]R(14)+C5H7(178)<=>CR(22)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2619; RMG #2619
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H14R(9)<=>C5H6(187)+CC(C)CC(C)CR(23) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2620; RMG #2620
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H12L(11)<=>C5H6(187)+CC(C)CC(C)L(25) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2621; RMG #2621
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C[CH]CC(C)CR(5)<=>C5H6(187)+CCCC(C)CR(32) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2622; RMG #2622
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C8H16L(15)<=>C5H6(187)+C8H17L(49) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2623; RMG #2623
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10R(171)<=>C5H6(187)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2624; RMG #2624
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C8H14L(112)<=>C5H6(187)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2625; RMG #2625
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C5H7(178)<=>C(75)+C5H6(187) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2626; RMG #2626
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 4.0
-CH3(74)+C5H7(178)<=>C(75)+C5H6(187) 1.824940e+13 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2627; RMG #2627
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 4.0
-H(82)+C5H7(178)<=>[H][H](83)+C5H6(187) 2.383380e+10 0.568 0.000
-
-! Reaction index: Chemkin #2628; RMG #2628
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H15(85)<=>C5H6(187)+CC(C)CC(C)C(87) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2629; RMG #2629
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]C(94)+C5H7(178)<=>CCC(95)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2630; RMG #2630
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C11H18L(188); C6H11L(63), C11H18L(188);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C6H11L(63)<=>C11H18L(188) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2631; RMG #2631
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C5H6(187); C5H5(189), C5H6(187);
-! Matched reaction 134 C5H5 + H <=> C5H6 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_N-Sp-4R!H-3R!H]
-! family: R_Recombination
-H(82)+C5H5(189)<=>C5H6(187) 2.500000e+15 0.000 0.000
-
-! Reaction index: Chemkin #2632; RMG #2632
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C5H6(187)<=>CC(C)CR(20)+C5H5(189) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2633; RMG #2633
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C5H6(187)<=>CCCR(27)+C5H5(189) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2634; RMG #2634
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C5H6(187)<=>CC(C)L(13)+C5H5(189) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2635; RMG #2635
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C5H6(187)<=>CCL(26)+C5H5(189) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2636; RMG #2636
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H12L(11)<=>C5H5(189)+CC(C)CC(C)L(25) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2637; RMG #2637
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C[CH]CR(10)+C5H5(189)<=>C3H5R(12)+C5H6(187) 6.129270e+27 -4.376 7.003
-
-! Reaction index: Chemkin #2638; RMG #2638
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C5H6(187)<=>CR(22)+C5H5(189) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2639; RMG #2639
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C[CH]CC(C)CR(5)<=>C5H6(187)+C6H11R(17) 6.129270e+27 -4.376 6.818
-
-! Reaction index: Chemkin #2640; RMG #2640
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 30.0
-C[CH]C(94)+C5H5(189)<=>C3H6(18)+C5H6(187) 1.225850e+28 -4.376 6.900
-
-! Reaction index: Chemkin #2641; RMG #2641
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C[CH]L(8)+C5H5(189)<=>C2H3L(19)+C5H6(187) 6.129270e+27 -4.376 7.003
-
-! Reaction index: Chemkin #2642; RMG #2642
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C8H16L(15)<=>C5H6(187)+C8H15L(21) 6.129270e+27 -4.376 6.818
-
-! Reaction index: Chemkin #2643; RMG #2643
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C[CH]CC(C)L(7)<=>C5H6(187)+C5H9L(24) 6.129270e+27 -4.376 6.818
-
-! Reaction index: Chemkin #2644; RMG #2644
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C[CH]CC(C)CR(5)<=>C5H6(187)+C6H11R(56) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2645; RMG #2645
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C[CH]CC(C)L(7)<=>C5H6(187)+C5H9L(57) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2646; RMG #2646
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C[CH]CR(10)+C5H5(189)<=>C3H5R(58)+C5H6(187) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2647; RMG #2647
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-[CH2]C(C)L(4)+C5H5(189)<=>C3H5L(59)+C5H6(187) 2.629070e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2648; RMG #2648
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-[CH2]C(C)CR(6)+C5H5(189)<=>C4H7R(60)+C5H6(187) 2.629070e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2649; RMG #2649
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C8H16L(15)<=>C5H6(187)+C8H15L(61) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2650; RMG #2650
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C7H14R(9)<=>C5H6(187)+C7H13R(62) 2.629070e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2651; RMG #2651
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C6H12L(11)<=>C5H6(187)+C6H11L(63) 2.629070e+14 -0.550 0.000
-
-! Reaction index: Chemkin #2652; RMG #2652
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(67)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2653; RMG #2653
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); CH3(74), C(75);
-! From training reaction 1126 used for C/H2/CdCd;C_methyl
-! Exact match found for rate rule [C/H2/CdCd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+C5H6(187)<=>C(75)+C5H5(189) 2.120000e-02 4.340 1.700
-
-! Reaction index: Chemkin #2654; RMG #2654
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C5H9L(57)<=>C5H6(187)+C5H8L(77) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2655; RMG #2655
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C5H8L(77)<=>C5H5(189)+C5H9L(84) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2656; RMG #2656
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C3H4R(78), C3H5R(12);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C5H6(187)<=>C3H5R(12)+C5H5(189) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2657; RMG #2657
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C3H4R(78), C3H5R(58);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C5H6(187)<=>C3H5R(58)+C5H5(189) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2658; RMG #2658
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C4H6R(79), C4H7R(60);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C5H6(187)<=>C4H7R(60)+C5H5(189) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2659; RMG #2659
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C5H6(187)<=>C4H7R(81)+C5H5(189) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2660; RMG #2660
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C5H8L(89)<=>C5H5(189)+C5H9L(24) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2661; RMG #2661
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C5H8L(89)<=>C5H5(189)+C5H9L(57) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2662; RMG #2662
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C6H11R(56)<=>C5H6(187)+C6H10R(90) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2663; RMG #2663
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H10R(90)<=>C5H5(189)+C6H11R(98) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2664; RMG #2664
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C[CH]C(94), CCC(95);
-! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+C5H6(187)<=>CCC(95)+C5H5(189) 2.320000e-03 4.340 -0.400
-
-! Reaction index: Chemkin #2665; RMG #2665
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C3H5(102), C3H6(18);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H5(102)+C5H6(187)<=>C3H6(18)+C5H5(189) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2666; RMG #2666
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H10L(103)<=>C5H5(189)+C6H11L(63) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2667; RMG #2667
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H10L(103)<=>C5H5(189)+C6H11L(107) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2668; RMG #2668
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C7H12R(108)<=>C5H5(189)+C7H13R(62) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2669; RMG #2669
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C7H12R(108)<=>C5H5(189)+C7H13R(120) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2670; RMG #2670
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H9(113)<=>C5H5(189)+C6H10(110) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2671; RMG #2671
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H9(114)<=>C5H5(189)+C6H10(116) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2672; RMG #2672
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(118) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2673; RMG #2673
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(125) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2674; RMG #2674
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 20.0
-C5H5(189)+C6H9(160)<=>C5H6(187)+C6H8(125) 1.547940e+13 0.025 0.000
-
-! Reaction index: Chemkin #2675; RMG #2675
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C5H6(187)<=>C3H5L(59)+C5H5(189) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2676; RMG #2676
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C5H6(187)<=>C4H8(157)+C5H5(189) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2677; RMG #2677
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H6(187)+C6H9(160)<=>C5H5(189)+C6H10(116) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2678; RMG #2678
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C6H11L(107)<=>C5H6(187)+C6H10L(169) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2679; RMG #2679
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H10R(171)<=>C5H5(189)+C6H11R(17) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2680; RMG #2680
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H10R(171)<=>C5H5(189)+C6H11R(56) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2681; RMG #2681
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(174), C5H8(173); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H6(187)+C5H7(174)<=>C5H5(189)+C5H8(173) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #2682; RMG #2682
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H6(187)+C5H7(178)<=>C5H5(189)+C5H8(180) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #2683; RMG #2683
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C10H15(183)<=>C5H6(187)+C10H14(184) 6.129270e+27 -4.376 9.315
-
-! Reaction index: Chemkin #2684; RMG #2684
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 20.0
-C5H5(189)+C5H7(178)<=>C5H6(187)+C5H6(187) 1.547940e+13 0.025 0.000
-
-! Reaction index: Chemkin #2685; RMG #2685
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C[CH]CC(C)CR(5)<=>C5H5(189)+CCCC(C)CR(32) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2686; RMG #2686
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C7H14R(9)<=>C5H5(189)+CC(C)CC(C)CR(23) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2687; RMG #2687
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C[CH]CC(C)L(7)<=>C5H5(189)+CCCC(C)L(16) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2688; RMG #2688
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C5H6(187), C5H5(189);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(65)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #2689; RMG #2689
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(66)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2690; RMG #2690
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(68)<=>C5H5(189)+RC10L(1) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2691; RMG #2691
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C5H6(187), C5H5(189);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(69)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #2692; RMG #2692
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(70)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2693; RMG #2693
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(71)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2694; RMG #2694
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C5H6(187), C5H5(189);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(72)<=>C5H5(189)+RC10L(1) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #2695; RMG #2695
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C9H17LR(73)<=>C5H5(189)+RC10L(1) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2696; RMG #2696
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C7H15(85)<=>C5H5(189)+CC(C)CC(C)C(87) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2697; RMG #2697
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C8H15L(61)<=>C5H6(187)+C8H14L(112) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2698; RMG #2698
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(123), C6H8(118); C5H6(187), C5H5(189);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H6(187)+C6H7(123)<=>C5H5(189)+C6H8(118) 1.564000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2699; RMG #2699
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(123), C6H8(125); C5H6(187), C5H5(189);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H6(187)+C6H7(123)<=>C5H5(189)+C6H8(125) 1.564000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2700; RMG #2700
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C10H20R(64)<=>C5H5(189)+RC10(2) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2701; RMG #2701
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C10H20L(76)<=>C5H5(189)+LC10(3) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2702; RMG #2702
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C8H16L(15)<=>C5H5(189)+C8H17L(49) 8.355200e-04 4.260 5.620
-
-! Reaction index: Chemkin #2703; RMG #2703
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); H(82), [H][H](83);
-! From training reaction 1125 used for C/H2/CdCd;H_rad
-! Exact match found for rate rule [C/H2/CdCd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+C5H6(187)<=>[H][H](83)+C5H5(189) 8.940000e-01 4.340 -0.400
-
-! Reaction index: Chemkin #2704; RMG #2704
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7(156), C9H14L(190); C5H7L(104), C9H14L(190);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H7(156)+C5H7L(104)<=>C9H14L(190) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #2705; RMG #2705
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C8H13(191); C5H7(174), C8H13(191);
-! From training reaction 4 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H6(18)+C5H7(174)<=>C8H13(191) 1.560000e+03 2.530 11.000
-
-! Reaction index: Chemkin #2706; RMG #2706
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C12H20R(192); C7H13R(62), C12H20R(192);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C7H13R(62)<=>C12H20R(192) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #2707; RMG #2707
-! Library reaction: restart
-! Flux pairs: CH3(74), C8H15L(61); C7H12L(193), C8H15L(61);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C7H12L(193)<=>C8H15L(61) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2708; RMG #2708
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C7H12L(193); C5H8(173), C7H12L(193);
-! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C5H8(173)<=>C7H12L(193) 1.920000e+03 2.410 0.760
-
-! Reaction index: Chemkin #2709; RMG #2709
-! Library reaction: restart
-! Flux pairs: C3H5(102), C8H12(194); C5H7(174), C8H12(194);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C5H7(174)<=>C8H12(194) 1.392520e+14 -0.158 0.000
-
-! Reaction index: Chemkin #2710; RMG #2710
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C8H13(191); C8H12(194), C8H13(191);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C8H12(194)<=>C8H13(191) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #2711; RMG #2711
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(65)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #2712; RMG #2712
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(69)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #2713; RMG #2713
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(66)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2714; RMG #2714
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(68)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2715; RMG #2715
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(72)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #2716; RMG #2716
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(73)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2717; RMG #2717
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(71)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2718; RMG #2718
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(67)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2719; RMG #2719
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C9H17LR(70)<=>C8H12(194)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2720; RMG #2720
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C10H20R(64)<=>C8H12(194)+RC10(2) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2721; RMG #2721
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C10H20L(76)<=>C8H12(194)+LC10(3) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2722; RMG #2722
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C8H13(191)<=>CC(C)L(13)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2723; RMG #2723
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C8H13(191)<=>C3H6(18)+C8H12(194) 2.451710e+27 -4.376 6.289
-
-! Reaction index: Chemkin #2724; RMG #2724
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C8H13(191)<=>CC(C)CR(20)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2725; RMG #2725
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C8H13(191)<=>CC(C)CC(C)L(25)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2726; RMG #2726
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C8H13(191)<=>CCL(26)+C8H12(194) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2727; RMG #2727
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C8H13(191)<=>CCCR(27)+C8H12(194) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2728; RMG #2728
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H13(191)<=>C6H11R(56)+C8H12(194) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2729; RMG #2729
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C8H13(191)<=>C6H11R(56)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2730; RMG #2730
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H13(191)<=>C5H9L(57)+C8H12(194) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2731; RMG #2731
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C8H13(191)<=>C5H9L(57)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2732; RMG #2732
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C8H13(191)<=>C3H5R(58)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2733; RMG #2733
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C8H13(191)<=>C3H5L(59)+C8H12(194) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2734; RMG #2734
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C8H13(191)<=>C4H7R(60)+C8H12(194) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #2735; RMG #2735
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C8H13(191)<=>C3H5R(12)+C8H12(194) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #2736; RMG #2736
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C8H13(191)<=>CCCC(C)L(16)+C8H12(194) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2737; RMG #2737
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C8H13(191)<=>C6H11R(17)+C8H12(194) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2738; RMG #2738
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C8H13(191)<=>CR(22)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2739; RMG #2739
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C8H13(191)<=>CC(C)CC(C)CR(23)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2740; RMG #2740
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C8H13(191)<=>C5H9L(24)+C8H12(194) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2741; RMG #2741
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C8H13(191)<=>CCCC(C)CR(32)+C8H12(194) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2742; RMG #2742
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C8H16L(15)<=>C8H12(194)+C8H17L(49) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #2743; RMG #2743
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C8H14L(112)<=>C8H12(194)+C8H15L(61) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2744; RMG #2744
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C8H13(191)<=>C7H13R(62)+C8H12(194) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2745; RMG #2745
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C8H13(191)<=>C6H11L(63)+C8H12(194) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #2746; RMG #2746
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C8H13(191)<=>C(75)+C8H12(194) 1.225850e+27 -4.376 3.228
-
-! Reaction index: Chemkin #2747; RMG #2747
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C8H13(191)<=>C4H7R(81)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2748; RMG #2748
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C8H13(191)<=>[H][H](83)+C8H12(194) 1.225850e+27 -4.376 3.356
-
-! Reaction index: Chemkin #2749; RMG #2749
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H13(191)<=>C5H9L(84)+C8H12(194) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #2750; RMG #2750
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C8H13(191)<=>CC(C)CC(C)C(87)+C8H12(194) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #2751; RMG #2751
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C8H13(191)<=>CCC(95)+C8H12(194) 1.225850e+27 -4.376 4.256
-
-! Reaction index: Chemkin #2752; RMG #2752
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H13(191)<=>C6H11R(98)+C8H12(194) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #2753; RMG #2753
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C8H13(191)<=>C6H11L(107)+C8H12(194) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2754; RMG #2754
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C8H13(191)<=>C6H11L(107)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2755; RMG #2755
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C8H13(191)<=>C6H10(110)+C8H12(194) 1.225850e+27 -4.376 8.296
-
-! Reaction index: Chemkin #2756; RMG #2756
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C8H13(191)<=>C6H10(116)+C8H12(194) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2757; RMG #2757
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C8H13(191)<=>C6H10(116)+C8H12(194) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2758; RMG #2758
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C8H13(191)<=>C6H8(118)+C8H12(194) 2.451710e+27 -4.376 7.020
-
-! Reaction index: Chemkin #2759; RMG #2759
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C8H13(191)<=>C7H13R(120)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #2760; RMG #2760
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C8H13(191)<=>C6H8(125)+C8H12(194) 2.451710e+27 -4.376 7.102
-
-! Reaction index: Chemkin #2761; RMG #2761
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C8H13(191)<=>C4H8(157)+C8H12(194) 2.451710e+27 -4.376 5.972
-
-! Reaction index: Chemkin #2762; RMG #2762
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C8H13(191)<=>C5H8(173)+C8H12(194) 2.451710e+27 -4.376 8.206
-
-! Reaction index: Chemkin #2763; RMG #2763
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C8H13(191)<=>C5H8(180)+C8H12(194) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #2764; RMG #2764
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C8H13(191)<=>C5H6(187)+C8H12(194) 6.129270e+27 -4.376 7.003
-
-! Reaction index: Chemkin #2765; RMG #2765
-! Library reaction: restart
-! Flux pairs: C[CH]L(8), CCCC(C)L(16); [CH2]CC(195), CCCC(C)L(16);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+[CH2]CC(195)<=>CCCC(C)L(16) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2766; RMG #2766
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(65)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2767; RMG #2767
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(69)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2768; RMG #2768
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(66)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2769; RMG #2769
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(68)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2770; RMG #2770
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(72)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2771; RMG #2771
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(73)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2772; RMG #2772
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(71)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2773; RMG #2773
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(67)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2774; RMG #2774
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H17LR(70)<=>C3H6(18)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2775; RMG #2775
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H20R(64)<=>C3H6(18)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2776; RMG #2776
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H20L(76)<=>C3H6(18)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2777; RMG #2777
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+[CH2]CC(195)<=>C3H5R(12)+C3H6(18) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2778; RMG #2778
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CC(C)L(13); [CH2]C(C)L(4), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+[CH2]CC(195)<=>C3H6(18)+CC(C)L(13) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2779; RMG #2779
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C[CH]CC(C)L(7)<=>C3H6(18)+CCCC(C)L(16) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2780; RMG #2780
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10R(171)<=>C3H6(18)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2781; RMG #2781
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), C3H6(18); C3H5(102), C3H6(18);
-! Matched reaction 23 C3H5 + C3H7-2 <=> C3H6 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C]
-! family: Disproportionation
-C3H5(102)+[CH2]CC(195)<=>C3H6(18)+C3H6(18) 5.800000e+12 0.000 -0.130
-
-! Reaction index: Chemkin #2782; RMG #2782
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+[CH2]C(C)CR(6)<=>C3H6(18)+CC(C)CR(20) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2783; RMG #2783
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+[CH2]CC(195)<=>CR(22)+C3H6(18) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2784; RMG #2784
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H14R(9)<=>C3H6(18)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2785; RMG #2785
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H8L(89)<=>C3H6(18)+C5H9L(24) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2786; RMG #2786
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H12L(11)<=>C3H6(18)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2787; RMG #2787
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+[CH2]CC(195)<=>CCL(26)+C3H6(18) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2788; RMG #2788
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCCR(27); C[CH]CR(10), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+[CH2]CC(195)<=>C3H6(18)+CCCR(27) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2789; RMG #2789
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), CCCC(C)CR(32); [CH2]CC(195), CCCC(C)CR(32);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+[CH2]CC(195)<=>CCCC(C)CR(32) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2790; RMG #2790
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C[CH]CC(C)CR(5)<=>C3H6(18)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2791; RMG #2791
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C8H17L(49); C[CH]CC(C)L(7), C8H17L(49);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]CC(195)+C[CH]CC(C)L(7)<=>C8H17L(49) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2792; RMG #2792
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C8H16L(15)<=>C3H6(18)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2793; RMG #2793
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10R(90)<=>C3H6(18)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2794; RMG #2794
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10R(171)<=>C3H6(18)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2795; RMG #2795
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H8L(77)<=>C3H6(18)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2796; RMG #2796
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H8L(89)<=>C3H6(18)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2797; RMG #2797
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+[CH2]CC(195)<=>C3H5R(58)+C3H6(18) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2798; RMG #2798
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+[CH2]CC(195)<=>C3H5L(59)+C3H6(18) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2799; RMG #2799
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(60); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C4H6R(79)<=>C3H6(18)+C4H7R(60) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2800; RMG #2800
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C8H14L(112)<=>C3H6(18)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2801; RMG #2801
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H12R(108)<=>C3H6(18)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2802; RMG #2802
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10L(103)<=>C3H6(18)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2803; RMG #2803
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), C3H6(18); CH3(74), C(75);
-! Matched reaction 20 CH3_r1 + C3H7-2 <=> CH4 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1]
-! family: Disproportionation
-CH3(74)+[CH2]CC(195)<=>C(75)+C3H6(18) 2.300000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2804; RMG #2804
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), C3H6(18); CH3(74), C(75);
-! Matched reaction 20 CH3_r1 + C3H7-2 <=> CH4 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C]
-! family: Disproportionation
-CH3(74)+[CH2]CC(195)<=>C(75)+C3H6(18) 2.300000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2805; RMG #2805
-! Library reaction: restart
-! Flux pairs: C4H6R(79), C4H7R(81); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C4H6R(79)<=>C3H6(18)+C4H7R(81) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2806; RMG #2806
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: [CH2]CC(195), H(82); [CH2]CC(195), C3H6(18);
-! Matched reaction 2920 C3H7-4 <=> propene_2 + H in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-CsH_Cds-HH;HJ]
-! family: R_Addition_MultipleBond
-[CH2]CC(195)<=>H(82)+C3H6(18) 9.950000e+30 -5.300 43.000
-
-! Reaction index: Chemkin #2807; RMG #2807
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), C3H6(18); H(82), [H][H](83);
-! Matched reaction 18 H + C3H7-2 <=> H2 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H]
-! family: Disproportionation
-H(82)+[CH2]CC(195)<=>[H][H](83)+C3H6(18) 3.620000e+12 0.000 0.000
-
-! Reaction index: Chemkin #2808; RMG #2808
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H8L(77)<=>C3H6(18)+C5H9L(84) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2809; RMG #2809
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H15(85)<=>C3H6(18)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2810; RMG #2810
-! Library reaction: restart
-! Flux pairs: H(82), CCC(95); [CH2]CC(195), CCC(95);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+[CH2]CC(195)<=>CCC(95) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #2811; RMG #2811
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CR(20), [CH2]C(C)CR(6); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(C)CR(20)<=>CCC(95)+[CH2]C(C)CR(6) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #2812; RMG #2812
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+[CH2]CC(195)<=>C[CH]CR(10)+CCC(95) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2813; RMG #2813
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)CR(32), C[CH]CC(C)CR(5); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+CCCC(C)CR(32)<=>CCC(95)+C[CH]CC(C)CR(5) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2814; RMG #2814
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); CC(C)L(13), [CH2]C(C)L(4);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)L(13)+[CH2]CC(195)<=>[CH2]C(C)L(4)+CCC(95) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #2815; RMG #2815
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)CR(23), C7H14R(9); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(C)CC(C)CR(23)<=>CCC(95)+C7H14R(9) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #2816; RMG #2816
-! Template reaction: H_Abstraction
-! Flux pairs: CCCC(C)L(16), C[CH]CC(C)L(7); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+CCCC(C)L(16)<=>CCC(95)+C[CH]CC(C)L(7) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2817; RMG #2817
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+[CH2]CC(195)<=>C[CH]L(8)+CCC(95) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2818; RMG #2818
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)L(25), C6H12L(11); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(C)CC(C)L(25)<=>CCC(95)+C6H12L(11) 3.260600e-04 4.810 8.490
-
-! Reaction index: Chemkin #2819; RMG #2819
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCC(95); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+[CH2]CC(195)<=>C3H5R(12)+CCC(95) 1.225850e+27 -4.376 3.758
-
-! Reaction index: Chemkin #2820; RMG #2820
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); CR(22), [CH2]R(14);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\H2\Cs;C_rad/H2/Cs]
-! Euclidian distance = 2.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CR(22)+[CH2]CC(195)<=>[CH2]R(14)+CCC(95) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #2821; RMG #2821
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(17) 1.225850e+27 -4.376 3.633
-
-! Reaction index: Chemkin #2822; RMG #2822
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), CCC(95); C[CH]C(94), C3H6(18);
-! Matched reaction 27 C3H7-2 + C3H7 <=> C3H8 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C]
-! family: Disproportionation
-C[CH]C(94)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 5.130000e+13 -0.350 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2823; RMG #2823
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCC(95); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2824; RMG #2824
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]CC(195), CCC(95); C[CH]C(94), C3H6(18);
-! Matched reaction 27 C3H7-2 + C3H7 <=> C3H8 + C3H6-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-2R!H-R_2R!H->C]
-! family: Disproportionation
-C[CH]C(94)+[CH2]CC(195)<=>C3H6(18)+CCC(95) 5.130000e+13 -0.350 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #2825; RMG #2825
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCC(95); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+[CH2]CC(195)<=>C2H3L(19)+CCC(95) 1.225850e+27 -4.376 3.758
-
-! Reaction index: Chemkin #2826; RMG #2826
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C8H16L(15)<=>CCC(95)+C8H15L(21) 1.225850e+27 -4.376 3.633
-
-! Reaction index: Chemkin #2827; RMG #2827
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(24) 1.225850e+27 -4.376 3.633
-
-! Reaction index: Chemkin #2828; RMG #2828
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C[CH]CC(C)CR(5)<=>CCC(95)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2829; RMG #2829
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C[CH]CC(C)L(7)<=>CCC(95)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2830; RMG #2830
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCC(95); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+[CH2]CC(195)<=>C3H5R(58)+CCC(95) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2831; RMG #2831
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), CCC(95); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]CC(195)<=>C3H5L(59)+CCC(95) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2832; RMG #2832
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+[CH2]C(C)CR(6)<=>CCC(95)+C4H7R(60) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2833; RMG #2833
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C8H16L(15)<=>CCC(95)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2834; RMG #2834
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+C7H14R(9)<=>CCC(95)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2835; RMG #2835
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+C6H12L(11)<=>CCC(95)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #2836; RMG #2836
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(65) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #2837; RMG #2837
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(66); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(66) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2838; RMG #2838
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(67); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(67) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2839; RMG #2839
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(68); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(68) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2840; RMG #2840
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(69) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #2841; RMG #2841
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(70); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(70) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #2842; RMG #2842
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(71); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(71) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #2843; RMG #2843
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(72) 2.434160e-04 4.470 6.593
-
-! Reaction index: Chemkin #2844; RMG #2844
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(73); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10L(1)<=>CCC(95)+C9H17LR(73) 1.630300e-04 4.810 8.490
-
-! Reaction index: Chemkin #2845; RMG #2845
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), [CH2]CC(195); CH3(74), C(75);
-! Estimated using template [C/H3/Cs\OneNonDe;C_methyl] for rate rule [C/H3/Cs\H2\Cs;C_methyl]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CH3(74)+CCC(95)<=>C(75)+[CH2]CC(195) 4.000000e+00 3.570 7.717
-
-! Reaction index: Chemkin #2846; RMG #2846
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C5H9L(57)<=>CCC(95)+C5H8L(77) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2847; RMG #2847
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H9L(84)<=>CCC(95)+C5H8L(77) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2848; RMG #2848
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+[CH2]CC(195)<=>C3H4R(78)+CCC(95) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2849; RMG #2849
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+[CH2]CC(195)<=>C3H4R(78)+CCC(95) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2850; RMG #2850
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C4H7R(60)<=>CCC(95)+C4H6R(79) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2851; RMG #2851
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+C4H7R(81)<=>CCC(95)+C4H6R(79) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #2852; RMG #2852
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), [CH2]CC(195); H(82), [H][H](83);
-! Estimated using average of templates [C/H3/Cs\OneNonDe;H_rad] + [C/H3/Cs\H2\Cs;Y_rad] for rate rule [C/H3/Cs\H2\Cs;H_rad]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-H(82)+CCC(95)<=>[H][H](83)+[CH2]CC(195) 1.663820e+04 2.718 6.496
-
-! Reaction index: Chemkin #2853; RMG #2853
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)CC(C)C(87), C7H15(85); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(C)CC(C)C(87)<=>CCC(95)+C7H15(85) 6.521200e-04 4.810 8.490
-
-! Reaction index: Chemkin #2854; RMG #2854
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H9L(24)<=>CCC(95)+C5H8L(89) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2855; RMG #2855
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H9L(57)<=>CCC(95)+C5H8L(89) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2856; RMG #2856
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11R(56)<=>CCC(95)+C6H10R(90) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2857; RMG #2857
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11R(98)<=>CCC(95)+C6H10R(90) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2858; RMG #2858
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), CCC(95); [CH2]CC(195), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+CCC(95)<=>C[CH]C(94)+CCC(95) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #2859; RMG #2859
-! Template reaction: H_Abstraction
-! Flux pairs: C8H17L(49), C8H16L(15); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C8H17L(49)<=>CCC(95)+C8H16L(15) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2860; RMG #2860
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10R(90)<=>C3H6(18)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2861; RMG #2861
-! Template reaction: H_Abstraction
-! Flux pairs: RC10(2), C10H20R(64); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+RC10(2)<=>CCC(95)+C10H20R(64) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2862; RMG #2862
-! Template reaction: H_Abstraction
-! Flux pairs: LC10(3), C10H20L(76); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+LC10(3)<=>CCC(95)+C10H20L(76) 2.163870e-03 4.290 7.536
-
-! Reaction index: Chemkin #2863; RMG #2863
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+[CH2]CC(195)<=>C3H5(102)+CCC(95) 2.961350e-04 4.545 4.565
-
-! Reaction index: Chemkin #2864; RMG #2864
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11L(63)<=>CCC(95)+C6H10L(103) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2865; RMG #2865
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11L(107)<=>CCC(95)+C6H10L(103) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #2866; RMG #2866
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10L(169)<=>C3H6(18)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2867; RMG #2867
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10L(103)<=>C3H6(18)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2868; RMG #2868
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C7H13R(62)<=>CCC(95)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2869; RMG #2869
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+C7H13R(120)<=>CCC(95)+C7H12R(108) 2.688720e-04 4.649 4.528
-
-! Reaction index: Chemkin #2870; RMG #2870
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H9(113)<=>C3H6(18)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2871; RMG #2871
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C8H15L(61)<=>CCC(95)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2872; RMG #2872
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H10(110)<=>CCC(95)+C6H9(113) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2873; RMG #2873
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H10(116)<=>CCC(95)+C6H9(114) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2874; RMG #2874
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C6H9(160)<=>C3H6(18)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2875; RMG #2875
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H9(114)<=>C3H6(18)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2876; RMG #2876
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C6H7(123)<=>C3H6(18)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2877; RMG #2877
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2878; RMG #2878
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H12R(108)<=>C3H6(18)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2879; RMG #2879
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H8(118)<=>CCC(95)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2880; RMG #2880
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H8(125)<=>CCC(95)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2881; RMG #2881
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C6H7(123)<=>C3H6(18)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2882; RMG #2882
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2883; RMG #2883
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C6H9(160)<=>CCC(95)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2884; RMG #2884
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+[CH2]CC(195)<=>C3H4L(147)+CCC(95) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #2885; RMG #2885
-! Template reaction: H_Abstraction
-! Flux pairs: C4H8(157), C4H7(156); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]CC(195)+C4H8(157)<=>CCC(95)+C4H7(156) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #2886; RMG #2886
-! Library reaction: restart
-! Flux pairs: C4H7(156), C4H8(157); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C4H7(156)<=>C3H6(18)+C4H8(157) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2887; RMG #2887
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H10(116)<=>CCC(95)+C6H9(160) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2888; RMG #2888
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11L(107)<=>CCC(95)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2889; RMG #2889
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11R(17)<=>CCC(95)+C6H10R(171) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2890; RMG #2890
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11R(56)<=>CCC(95)+C6H10R(171) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2891; RMG #2891
-! Library reaction: restart
-! Flux pairs: C5H7(174), C5H8(173); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C5H7(174)<=>C3H6(18)+C5H8(173) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2892; RMG #2892
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H8(173)<=>CCC(95)+C5H7(174) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #2893; RMG #2893
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H8(180)<=>CCC(95)+C5H7(178) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2894; RMG #2894
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H8(180); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C5H7(178)<=>C3H6(18)+C5H8(180) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2895; RMG #2895
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C10H15(183)<=>CCC(95)+C10H14(184) 1.225850e+27 -4.376 5.367
-
-! Reaction index: Chemkin #2896; RMG #2896
-! Library reaction: restart
-! Flux pairs: C5H5(189), C5H6(187); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-[CH2]CC(195)+C5H5(189)<=>C3H6(18)+C5H6(187) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #2897; RMG #2897
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C5H7(178)<=>CCC(95)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2898; RMG #2898
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C5H6(187)<=>CCC(95)+C5H5(189) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #2899; RMG #2899
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C8H13(191)<=>CCC(95)+C8H12(194) 1.225850e+27 -4.376 3.758
-
-! Reaction index: Chemkin #2900; RMG #2900
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), [CH2]CC(195); C2H4(196), [CH2]CC(195);
-! Matched reaction 2902 CH3 + C2H4 <=> C3H7 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-HHH]
-! family: R_Addition_MultipleBond
-CH3(74)+C2H4(196)<=>[CH2]CC(195) 8.610000e+02 2.988 7.238
-
-! Reaction index: Chemkin #2901; RMG #2901
-! Template reaction: Intra_R_Add_Exocyclic
-! Flux pairs: C8H13(191), C8H13(197);
-! Matched reaction 181 C8H13-17 <=> C8H13-18 in Intra_R_Add_Exocyclic/training
-! This reaction matched rate rule [Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Sp-7R!H=6R!H]
-! family: Intra_R_Add_Exocyclic
-C8H13(191)<=>C8H13(197) 6.190000e+11 0.210 14.020
-
-! Reaction index: Chemkin #2902; RMG #2902
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H4(196), C8H13(198); C6H9(113), C8H13(198);
-! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH
-! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C2H4(196)+C6H9(113)<=>C8H13(198) 2.971820e+02 2.951 4.541
-
-! Reaction index: Chemkin #2903; RMG #2903
-! Library reaction: restart
-! Flux pairs: H(82), C7H13R(120); C7H12R(199), C7H13R(120);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R_Ext-5R!H-R_Ext-3R!H-R
-H(82)+C7H12R(199)<=>C7H13R(120) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #2904; RMG #2904
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C7H13R(120)<=>CC(C)CR(20)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2905; RMG #2905
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C7H13R(120)<=>CCCR(27)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2906; RMG #2906
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C7H13R(120)<=>CCCC(C)CR(32)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2907; RMG #2907
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C7H13R(120)<=>CC(C)L(13)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2908; RMG #2908
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C7H14R(9)<=>C7H12R(199)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2909; RMG #2909
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C7H13R(120)<=>CCCC(C)L(16)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2910; RMG #2910
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C7H13R(120)<=>CCL(26)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2911; RMG #2911
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+C7H13R(120)<=>CC(C)CC(C)L(25)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2912; RMG #2912
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H12R(199)<=>C3H5R(12)+C7H13R(120) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2913; RMG #2913
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C7H13R(120)<=>CR(22)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2914; RMG #2914
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(17)+C7H13R(120) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2915; RMG #2915
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H12R(199)<=>C3H6(18)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2916; RMG #2916
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H12R(199)<=>C3H6(18)+C7H13R(120) 2.451710e+27 -4.376 7.254
-
-! Reaction index: Chemkin #2917; RMG #2917
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H12R(199)<=>C2H3L(19)+C7H13R(120) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2918; RMG #2918
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C8H16L(15)<=>C7H13R(120)+C8H15L(21) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2919; RMG #2919
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(24)+C7H13R(120) 1.225850e+27 -4.376 7.170
-
-! Reaction index: Chemkin #2920; RMG #2920
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(56)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2921; RMG #2921
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(57)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2922; RMG #2922
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H12R(199)<=>C3H5R(58)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2923; RMG #2923
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C7H12R(199)<=>C3H5L(59)+C7H13R(120) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2924; RMG #2924
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C7H12R(199)<=>C4H7R(60)+C7H13R(120) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2925; RMG #2925
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C8H16L(15)<=>C7H13R(120)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2926; RMG #2926
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(120); C7H12R(199), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H12R(199)+C7H14R(9)<=>C7H13R(62)+C7H13R(120) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2927; RMG #2927
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C7H12R(199)<=>C6H11L(63)+C7H13R(120) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #2928; RMG #2928
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(66)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2929; RMG #2929
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(67)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2930; RMG #2930
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(68)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2931; RMG #2931
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(120), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(69)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2932; RMG #2932
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(70)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2933; RMG #2933
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(71)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2934; RMG #2934
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(120), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(72)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2935; RMG #2935
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(73)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2936; RMG #2936
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C7H13R(120)<=>C(75)+C7H12R(199) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #2937; RMG #2937
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C5H9L(57), C5H8L(77);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C7H12R(199)<=>C5H8L(77)+C7H13R(120) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2938; RMG #2938
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C7H13R(120)<=>C5H9L(84)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2939; RMG #2939
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(120)<=>C3H5R(12)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2940; RMG #2940
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(120)<=>C3H5R(58)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2941; RMG #2941
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(120)<=>C4H7R(60)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2942; RMG #2942
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(120)<=>C4H7R(81)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2943; RMG #2943
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C7H15(85)<=>C7H12R(199)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2944; RMG #2944
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(120)<=>C5H9L(24)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2945; RMG #2945
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(120)<=>C5H9L(57)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2946; RMG #2946
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C6H11R(56), C6H10R(90);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C7H12R(199)<=>C6H10R(90)+C7H13R(120) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2947; RMG #2947
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(90), C6H11R(98);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C7H13R(120)<=>C6H11R(98)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2948; RMG #2948
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C7H13R(120)<=>CCC(95)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2949; RMG #2949
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C7H13R(120)<=>C3H6(18)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2950; RMG #2950
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H10L(103), C6H11L(63);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(120)<=>C6H11L(63)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2951; RMG #2951
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(120)<=>C6H11L(107)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2952; RMG #2952
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H13R(62); C7H12R(108), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C7H13R(120)<=>C7H12R(199)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2953; RMG #2953
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H13R(120); C7H12R(108), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C7H13R(120)<=>C7H12R(199)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2954; RMG #2954
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C7H12R(199), C7H13R(120);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(199)+C8H15L(61)<=>C7H13R(120)+C8H14L(112) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2955; RMG #2955
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C7H13R(120)<=>C6H10(110)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2956; RMG #2956
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C7H13R(120)<=>C6H10(116)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2957; RMG #2957
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(199)<=>C6H8(118)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2958; RMG #2958
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C8H16L(15)<=>C7H12R(199)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2959; RMG #2959
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C10H20R(64)<=>C7H12R(199)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2960; RMG #2960
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(120), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C9H17LR(65)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #2961; RMG #2961
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C10H20L(76)<=>C7H12R(199)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #2962; RMG #2962
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C7H13R(120)<=>C6H8(118)+C7H12R(199) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2963; RMG #2963
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C7H13R(120)<=>C6H8(125)+C7H12R(199) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2964; RMG #2964
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(199)<=>C6H8(125)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2965; RMG #2965
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H12R(199)<=>C6H8(125)+C7H13R(120) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2966; RMG #2966
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C7H13R(120)<=>C3H5L(59)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2967; RMG #2967
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C7H13R(120)<=>C4H8(157)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2968; RMG #2968
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C7H13R(120)<=>C6H10(116)+C7H12R(199) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2969; RMG #2969
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C6H11L(107), C6H10L(169);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C7H12R(199)<=>C6H10L(169)+C7H13R(120) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #2970; RMG #2970
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(171), C6H11R(17);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(120)<=>C6H11R(17)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2971; RMG #2971
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H10R(171), C6H11R(56);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(120)<=>C6H11R(56)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2972; RMG #2972
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C7H13R(120)<=>C5H8(173)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #2973; RMG #2973
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C7H13R(120)<=>C5H8(180)+C7H12R(199) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #2974; RMG #2974
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C10H15(183)<=>C7H13R(120)+C10H14(184) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #2975; RMG #2975
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H12R(199)<=>C5H6(187)+C7H13R(120) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #2976; RMG #2976
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C7H13R(120)<=>C5H6(187)+C7H12R(199) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #2977; RMG #2977
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C8H13(191)<=>C7H13R(120)+C8H12(194) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #2978; RMG #2978
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C7H13R(120)<=>CCC(95)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #2979; RMG #2979
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C7H13R(120)<=>[H][H](83)+C7H12R(199) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #2980; RMG #2980
-! Library reaction: restart
-! Flux pairs: C5H7(174), C10H14(200); C5H7(174), C10H14(200);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C5H7(174)<=>C10H14(200) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #2981; RMG #2981
-! Library reaction: restart
-! Flux pairs: C5H5(189), C10H12(201); C5H7(174), C10H12(201);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C5H7(174)<=>C10H12(201) 1.767930e+17 -1.003 0.000
-
-! Reaction index: Chemkin #2982; RMG #2982
-! Library reaction: restart
-! Flux pairs: H(82), C10H14(179); C10H13(202), C10H14(179);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C10H13(202)<=>C10H14(179) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #2983; RMG #2983
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C10H14(179)<=>CCCR(27)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2984; RMG #2984
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C10H14(179)<=>CCL(26)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #2985; RMG #2985
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H13(202)<=>C3H5R(12)+C10H14(179) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #2986; RMG #2986
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C10H14(179)<=>CR(22)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #2987; RMG #2987
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H13(202)<=>C6H11R(17)+C10H14(179) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #2988; RMG #2988
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H13(202)<=>C3H6(18)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2989; RMG #2989
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H13(202)<=>C3H6(18)+C10H14(179) 2.451710e+27 -4.376 7.580
-
-! Reaction index: Chemkin #2990; RMG #2990
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H13(202)<=>C2H3L(19)+C10H14(179) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #2991; RMG #2991
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H13(202)<=>C8H15L(21)+C10H14(179) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #2992; RMG #2992
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H13(202)<=>C5H9L(24)+C10H14(179) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #2993; RMG #2993
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H13(202)<=>C6H11R(56)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2994; RMG #2994
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H13(202)<=>C5H9L(57)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2995; RMG #2995
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H13(202)<=>C3H5R(58)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2996; RMG #2996
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C10H13(202)<=>C3H5L(59)+C10H14(179) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #2997; RMG #2997
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C10H13(202)<=>C4H7R(60)+C10H14(179) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #2998; RMG #2998
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H13(202)<=>C8H15L(61)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #2999; RMG #2999
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C10H13(202)<=>C7H13R(62)+C10H14(179) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3000; RMG #3000
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C10H13(202)<=>C6H11L(63)+C10H14(179) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3001; RMG #3001
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C10H13(202)<=>C5H8L(77)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3002; RMG #3002
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C10H14(179)<=>C5H9L(84)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3003; RMG #3003
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C10H14(179)<=>C3H5R(12)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3004; RMG #3004
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C10H14(179)<=>C3H5R(58)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3005; RMG #3005
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C10H14(179)<=>C4H7R(60)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3006; RMG #3006
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C10H14(179)<=>C4H7R(81)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3007; RMG #3007
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C10H14(179)<=>C5H9L(24)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3008; RMG #3008
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C10H14(179)<=>C5H9L(57)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3009; RMG #3009
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C10H13(202)<=>C6H10R(90)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3010; RMG #3010
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H10R(90), C6H11R(98);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C10H14(179)<=>C6H11R(98)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3011; RMG #3011
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C10H13(202)<=>C3H5(102)+C10H14(179) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3012; RMG #3012
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H10L(103), C6H11L(63);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C10H14(179)<=>C6H11L(63)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3013; RMG #3013
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C10H14(179)<=>C6H11L(107)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3014; RMG #3014
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C7H12R(108), C7H13R(62);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C10H14(179)<=>C7H13R(62)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3015; RMG #3015
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C10H14(179)<=>C7H13R(120)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3016; RMG #3016
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C10H13(202)<=>C6H9(113)+C10H14(179) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3017; RMG #3017
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H9(114), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(114)+C10H14(179)<=>C6H10(116)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3018; RMG #3018
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H13(202)<=>C6H8(118)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3019; RMG #3019
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C10H13(202)<=>C6H7(123)+C10H14(179) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #3020; RMG #3020
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C10H13(202)<=>C6H7(123)+C10H14(179) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #3021; RMG #3021
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H13(202)<=>C6H8(125)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3022; RMG #3022
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H13(202)<=>C6H8(125)+C10H14(179) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3023; RMG #3023
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C10H14(179)<=>C3H5L(59)+C10H13(202) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3024; RMG #3024
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C10H14(179)<=>C4H8(157)+C10H13(202) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3025; RMG #3025
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H9(160), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9(160)+C10H14(179)<=>C6H10(116)+C10H13(202) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3026; RMG #3026
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C10H13(202)<=>C6H10L(169)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3027; RMG #3027
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H10R(171), C6H11R(17);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C10H14(179)<=>C6H11R(17)+C10H13(202) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3028; RMG #3028
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C10H14(179)<=>C6H11R(56)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3029; RMG #3029
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C10H13(202)<=>C5H7(174)+C10H14(179) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3030; RMG #3030
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C10H13(202)<=>C5H7(178)+C10H14(179) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3031; RMG #3031
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H6(187), C10H13(202); C5H7(174), C10H13(202);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdHH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: R_Addition_MultipleBond
-C5H6(187)+C5H7(174)<=>C10H13(202) 4.760000e+04 2.410 10.290
-
-! Reaction index: Chemkin #3032; RMG #3032
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H13(202)<=>C5H6(187)+C10H14(179) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3033; RMG #3033
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C10H15(183)<=>C10H14(179)+C10H14(184) 1.225850e+27 -4.376 10.132
-
-! Reaction index: Chemkin #3034; RMG #3034
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C10H13(202)<=>C8H12(194)+C10H14(179) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #3035; RMG #3035
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(65)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3036; RMG #3036
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(69)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3037; RMG #3037
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(66)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3038; RMG #3038
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(68)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3039; RMG #3039
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(72)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3040; RMG #3040
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(73)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3041; RMG #3041
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(71)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3042; RMG #3042
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(67)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3043; RMG #3043
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(70)+C10H13(202)<=>RC10L(1)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3044; RMG #3044
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C10H20R(64)<=>C10H12(201)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3045; RMG #3045
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C10H20L(76)<=>C10H12(201)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3046; RMG #3046
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H13(202)<=>C3H5R(12)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3047; RMG #3047
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C10H13(202)<=>CC(C)L(13)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3048; RMG #3048
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H13(202)<=>CCCC(C)L(16)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3049; RMG #3049
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H13(202)<=>C6H11R(17)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3050; RMG #3050
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C10H13(202)<=>C3H6(18)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3051; RMG #3051
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C10H13(202)<=>CC(C)CR(20)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3052; RMG #3052
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C10H13(202)<=>CR(22)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3053; RMG #3053
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C10H13(202)<=>CC(C)CC(C)CR(23)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3054; RMG #3054
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H13(202)<=>C5H9L(24)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3055; RMG #3055
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C10H13(202)<=>CC(C)CC(C)L(25)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3056; RMG #3056
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C10H13(202)<=>CCL(26)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3057; RMG #3057
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H13(202)<=>CCCR(27)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3058; RMG #3058
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H13(202)<=>CCCC(C)CR(32)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3059; RMG #3059
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H13(202)<=>C8H17L(49)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3060; RMG #3060
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H13(202)<=>C6H11R(56)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3061; RMG #3061
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H13(202)<=>C6H11R(56)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3062; RMG #3062
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H13(202)<=>C5H9L(57)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3063; RMG #3063
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H13(202)<=>C5H9L(57)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3064; RMG #3064
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H13(202)<=>C3H5R(58)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3065; RMG #3065
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C10H13(202)<=>C3H5L(59)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3066; RMG #3066
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H13(202)<=>C4H7R(60)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3067; RMG #3067
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C10H13(202)<=>C8H15L(61)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3068; RMG #3068
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H13(202)<=>C7H13R(62)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3069; RMG #3069
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H13(202)<=>C6H11L(63)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3070; RMG #3070
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C10H13(202)<=>C(75)+C10H12(201) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3071; RMG #3071
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C10H13(202)<=>C(75)+C10H12(201) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3072; RMG #3072
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H13(202)<=>C4H7R(81)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3073; RMG #3073
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C10H13(202)<=>[H][H](83)+C10H12(201) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #3074; RMG #3074
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H13(202)<=>C5H9L(84)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3075; RMG #3075
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C10H13(202)<=>CC(C)CC(C)C(87)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3076; RMG #3076
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C10H13(202)<=>CCC(95)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3077; RMG #3077
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H13(202)<=>CCC(95)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3078; RMG #3078
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H13(202)<=>C6H11R(98)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3079; RMG #3079
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H13(202)<=>C6H11L(107)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3080; RMG #3080
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H13(202)<=>C6H11L(107)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3081; RMG #3081
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C10H13(202)<=>C6H10(110)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3082; RMG #3082
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H13(202)<=>C6H10(116)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3083; RMG #3083
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H13(202)<=>C6H10(116)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3084; RMG #3084
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H13(202)<=>C6H8(118)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3085; RMG #3085
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H13(202)<=>C7H13R(120)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3086; RMG #3086
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H13(202)<=>C7H13R(120)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3087; RMG #3087
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H13(202)<=>C6H8(125)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3088; RMG #3088
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C10H13(202)<=>C4H8(157)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3089; RMG #3089
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C10H13(202)<=>C5H8(173)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3090; RMG #3090
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H13(202)<=>C5H8(180)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3091; RMG #3091
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C10H13(202)<=>C5H6(187)+C10H12(201) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #3092; RMG #3092
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C10H13(202); C10H12(201), C10H13(202);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-H(82)+C10H12(201)<=>C10H13(202) 3.300000e+09 1.480 0.900
-
-! Reaction index: Chemkin #3093; RMG #3093
-! Library reaction: restart
-! Flux pairs: H(82), CC(L)CC(C)L(35); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C5H9L2(203)<=>CC(L)CC(C)L(35) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #3094; RMG #3094
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+CC(L)CC(C)L(35)<=>CC(C)CR(20)+C5H9L2(203) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3095; RMG #3095
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+CC(L)CC(C)L(35)<=>CCCR(27)+C5H9L2(203) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3096; RMG #3096
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C[CH]CC(C)CR(5)<=>C5H9L2(203)+CCCC(C)CR(32) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3097; RMG #3097
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+CC(L)CC(C)L(35)<=>CC(C)L(13)+C5H9L2(203) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3098; RMG #3098
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C7H14R(9)<=>C5H9L2(203)+CC(C)CC(C)CR(23) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3099; RMG #3099
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C[CH]CC(C)L(7)<=>C5H9L2(203)+CCCC(C)L(16) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3100; RMG #3100
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+CC(L)CC(C)L(35)<=>CCL(26)+C5H9L2(203) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3101; RMG #3101
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H12L(11)<=>C5H9L2(203)+CC(C)CC(C)L(25) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3102; RMG #3102
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H9L2(203)<=>C3H5R(12)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3103; RMG #3103
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+CC(L)CC(C)L(35)<=>CR(22)+C5H9L2(203) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3104; RMG #3104
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C8H16L(15)<=>C5H9L2(203)+C8H17L(49) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3105; RMG #3105
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C[CH]CC(C)CR(5)<=>CC(L)CC(C)L(35)+C6H11R(17) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #3106; RMG #3106
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H9L2(203)<=>C3H6(18)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3107; RMG #3107
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C5H9L2(203)<=>C3H6(18)+CC(L)CC(C)L(35) 2.451710e+27 -4.376 4.536
-
-! Reaction index: Chemkin #3108; RMG #3108
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H9L2(203)<=>C2H3L(19)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3109; RMG #3109
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C8H16L(15)<=>CC(L)CC(C)L(35)+C8H15L(21) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #3110; RMG #3110
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CC(L)CC(C)L(35); C5H9L2(203), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C[CH]CC(C)L(7)<=>C5H9L(24)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 4.474
-
-! Reaction index: Chemkin #3111; RMG #3111
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C[CH]CC(C)CR(5)<=>CC(L)CC(C)L(35)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3112; RMG #3112
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CC(L)CC(C)L(35); C5H9L2(203), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C[CH]CC(C)L(7)<=>C5H9L(57)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3113; RMG #3113
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H9L2(203)<=>C3H5R(58)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3114; RMG #3114
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C5H9L2(203); C3H5L(59), C5H9L2(203);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C3H5L(59)<=>C5H9L2(203) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #3115; RMG #3115
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C5H9L2(203)<=>C3H5L(59)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3116; RMG #3116
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C5H9L2(203)<=>C4H7R(60)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3117; RMG #3117
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C8H16L(15)<=>CC(L)CC(C)L(35)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3118; RMG #3118
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H9L2(203)+C7H14R(9)<=>CC(L)CC(C)L(35)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3119; RMG #3119
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H9L2(203)+C6H12L(11)<=>CC(L)CC(C)L(35)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3120; RMG #3120
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C10H20R(64)<=>C5H9L2(203)+RC10(2) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3121; RMG #3121
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+RC10L(1)<=>CC(L)CC(C)L(35)+C9H17LR(65) 5.420000e-04 4.340 4.900
-
-! Reaction index: Chemkin #3122; RMG #3122
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(66)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3123; RMG #3123
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(67)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3124; RMG #3124
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(68)<=>C5H9L2(203)+RC10L(1) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3125; RMG #3125
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(70)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3126; RMG #3126
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(71)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3127; RMG #3127
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); CH3(74), C(75);
-! From training reaction 953 used for C/H/Cs3;C_methyl
-! Exact match found for rate rule [C/H/Cs3;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CH3(74)+CC(L)CC(C)L(35)<=>C(75)+C5H9L2(203) 2.260000e-02 4.340 7.690
-
-! Reaction index: Chemkin #3128; RMG #3128
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C10H20L(76)<=>C5H9L2(203)+LC10(3) 2.554250e-04 4.473 6.257
-
-! Reaction index: Chemkin #3129; RMG #3129
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H9L(57), C5H8L(77);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C5H9L2(203)<=>C5H8L(77)+CC(L)CC(C)L(35) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #3130; RMG #3130
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(77), C5H9L(84);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+CC(L)CC(C)L(35)<=>C5H9L(84)+C5H9L2(203) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3131; RMG #3131
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4R(78), C3H5R(12);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+CC(L)CC(C)L(35)<=>C3H5R(12)+C5H9L2(203) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3132; RMG #3132
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4R(78), C3H5R(58);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+CC(L)CC(C)L(35)<=>C3H5R(58)+C5H9L2(203) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3133; RMG #3133
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C4H6R(79), C4H7R(60);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+CC(L)CC(C)L(35)<=>C4H7R(60)+C5H9L2(203) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3134; RMG #3134
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+C5H9L2(203)<=>C4H6R(79)+CC(L)CC(C)L(35) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #3135; RMG #3135
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C7H15(85)<=>C5H9L2(203)+CC(C)CC(C)C(87) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3136; RMG #3136
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(89), C5H9L(24);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+CC(L)CC(C)L(35)<=>C5H9L(24)+C5H9L2(203) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3137; RMG #3137
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H8L(89), C5H9L(57);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+CC(L)CC(C)L(35)<=>C5H9L(57)+C5H9L2(203) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3138; RMG #3138
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C6H11R(56)<=>CC(L)CC(C)L(35)+C6H10R(90) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #3139; RMG #3139
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H10R(90)<=>C5H9L2(203)+C6H11R(98) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3140; RMG #3140
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C[CH]C(94), CCC(95);
-! From training reaction 955 used for C/H/Cs3;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]C(94)+CC(L)CC(C)L(35)<=>CCC(95)+C5H9L2(203) 1.622000e-03 4.340 5.300
-
-! Reaction index: Chemkin #3141; RMG #3141
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C3H6(18), C3H5(102);
-! From training reaction 999 used for C/H3/Cd\H_Cd\H2;C_rad/Cs3
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C5H9L2(203)<=>C3H5(102)+CC(L)CC(C)L(35) 1.014000e-03 4.340 3.700
-
-! Reaction index: Chemkin #3142; RMG #3142
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H10L(103)<=>C5H9L2(203)+C6H11L(63) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3143; RMG #3143
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H9L2(203)+C6H11L(107)<=>CC(L)CC(C)L(35)+C6H10L(103) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #3144; RMG #3144
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C7H12R(108)<=>C5H9L2(203)+C7H13R(62) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3145; RMG #3145
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H9L2(203)+C7H13R(120)<=>CC(L)CC(C)L(35)+C7H12R(108) 5.136920e-04 4.418 3.856
-
-! Reaction index: Chemkin #3146; RMG #3146
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H9(113)<=>C5H9L2(203)+C6H10(110) 3.380000e-02 4.340 16.850
-
-! Reaction index: Chemkin #3147; RMG #3147
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H9(114)<=>C5H9L2(203)+C6H10(116) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3148; RMG #3148
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C8H15L(61)<=>CC(L)CC(C)L(35)+C8H14L(112) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #3149; RMG #3149
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3150; RMG #3150
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L2(203)+C6H8(118)<=>CC(L)CC(C)L(35)+C6H7(123) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #3151; RMG #3151
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L2(203)+C6H8(125)<=>CC(L)CC(C)L(35)+C6H7(123) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #3152; RMG #3152
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3153; RMG #3153
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H9L2(203)+C6H9(160)<=>CC(L)CC(C)L(35)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3154; RMG #3154
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+C5H9L2(203)<=>C3H4L(147)+CC(L)CC(C)L(35) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3155; RMG #3155
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+C5H9L2(203)<=>C4H7(156)+CC(L)CC(C)L(35) 8.640000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3156; RMG #3156
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H9(160)<=>C5H9L2(203)+C6H10(116) 2.780000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3157; RMG #3157
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C6H11L(107)<=>CC(L)CC(C)L(35)+C6H10L(169) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #3158; RMG #3158
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H10R(171)<=>C5H9L2(203)+C6H11R(17) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3159; RMG #3159
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H10R(171)<=>C5H9L2(203)+C6H11R(56) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3160; RMG #3160
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H7(174), C5H8(173);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(174)+CC(L)CC(C)L(35)<=>C5H8(173)+C5H9L2(203) 6.760000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3161; RMG #3161
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C5H7(178), C5H8(180);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+CC(L)CC(C)L(35)<=>C5H8(180)+C5H9L2(203) 2.780000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3162; RMG #3162
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C10H15(183)<=>CC(L)CC(C)L(35)+C10H14(184) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #3163; RMG #3163
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H9L2(203)<=>C5H6(187)+CC(L)CC(C)L(35) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3164; RMG #3164
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H6(187), C5H5(189);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C5H9L2(203)<=>C5H5(189)+CC(L)CC(C)L(35) 1.916000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #3165; RMG #3165
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C8H13(191)<=>CC(L)CC(C)L(35)+C8H12(194) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3166; RMG #3166
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C7H13R(120)<=>CC(L)CC(C)L(35)+C7H12R(199) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #3167; RMG #3167
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C10H13(202)<=>CC(L)CC(C)L(35)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3168; RMG #3168
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H13(202)<=>C9H17LR(65)+C10H14(179) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3169; RMG #3169
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H13(202)<=>C9H17LR(69)+C10H14(179) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3170; RMG #3170
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3171; RMG #3171
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3172; RMG #3172
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H13(202)<=>C9H17LR(72)+C10H14(179) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3173; RMG #3173
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3174; RMG #3174
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3175; RMG #3175
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3176; RMG #3176
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C10H14(179)<=>RC10L(1)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3177; RMG #3177
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(69)<=>C5H9L2(203)+RC10L(1) 1.084000e-03 4.340 4.900
-
-! Reaction index: Chemkin #3178; RMG #3178
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(72)<=>C5H9L2(203)+RC10L(1) 1.084000e-03 4.340 4.900
-
-! Reaction index: Chemkin #3179; RMG #3179
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C9H17LR(73)<=>C5H9L2(203)+RC10L(1) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3180; RMG #3180
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C10H14(179)<=>CC(C)L(13)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3181; RMG #3181
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C10H14(179)<=>CC(C)CR(20)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3182; RMG #3182
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C10H14(179)<=>CC(C)CC(C)L(25)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3183; RMG #3183
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(L)CC(C)L(35)<=>CCC(95)+C5H9L2(203) 4.868320e-04 4.470 6.593
-
-! Reaction index: Chemkin #3184; RMG #3184
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C10H13(202)<=>CH3(74)+C10H14(179) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #3185; RMG #3185
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); H(82), [H][H](83);
-! From training reaction 952 used for C/H/Cs3;H_rad
-! Exact match found for rate rule [C/H/Cs3;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-H(82)+CC(L)CC(C)L(35)<=>[H][H](83)+C5H9L2(203) 9.520000e-01 4.340 2.000
-
-! Reaction index: Chemkin #3186; RMG #3186
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C10H13(202)<=>C[CH]C(94)+C10H14(179) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #3187; RMG #3187
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C10H14(179)<=>CCC(95)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3188; RMG #3188
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C7H13R(120), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C10H13(202)<=>C7H12R(199)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3189; RMG #3189
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C10H13(202)<=>C10H12(201)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3190; RMG #3190
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H16(204); C6H9(114), C11H16(204);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H9(114)<=>C11H16(204) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3191; RMG #3191
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C10H14L(205); C5H7(174), C10H14L(205);
-! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C5H7(174)<=>C10H14L(205) 2.380000e+04 2.410 10.290
-
-! Reaction index: Chemkin #3192; RMG #3192
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C7H11LR(206); C4H5L(91), C7H11LR(206);
-! From training reaction 473 used for Cds-CsH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C4H5L(91)<=>C7H11LR(206) 9.220000e+02 2.410 2.240
-
-! Reaction index: Chemkin #3193; RMG #3193
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C8H9R(207); C5H5(189), C8H9R(207);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 5.0
-C3H4R(78)+C5H5(189)<=>C8H9R(207) 8.839650e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3194; RMG #3194
-! Library reaction: restart
-! Flux pairs: C8H11LR(134), C8H11LR(208);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R
-C8H11LR(134)<=>C8H11LR(208) 2.322560e-20 8.934 1.071
-
-! Reaction index: Chemkin #3195; RMG #3195
-! Library reaction: restart
-! Flux pairs: C8H11LR(208), C8H11LR(209);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R
-C8H11LR(208)<=>C8H11LR(209) 4.825870e+53 -11.671 43.762
-
-! Reaction index: Chemkin #3196; RMG #3196
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H6(187), C10H13(210); C5H7(174), C10H13(210);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H6(187)+C5H7(174)<=>C10H13(210) 5.760000e+01 2.740 3.300
-
-! Reaction index: Chemkin #3197; RMG #3197
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H16(211); C6H9(114), C11H16(211);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H9(114)<=>C11H16(211) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3198; RMG #3198
-! Library reaction: restart
-! Flux pairs: C7H9LR(212), C7H9LR(154);
-! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-7R!H-R_4R!H-inRing
-C7H9LR(212)<=>C7H9LR(154) 6.090000e+08 0.695 15.986
-
-! Reaction index: Chemkin #3199; RMG #3199
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C8H11R(213); C5H7(174), C8H11R(213);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C5H7(174)<=>C8H11R(213) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #3200; RMG #3200
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C8H14R(214); C5H8(173), C8H14R(214);
-! From training reaction 275 used for Cds-HH_Cds-CdH;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C5H8(173)<=>C8H14R(214) 1.920000e+03 2.410 0.760
-
-! Reaction index: Chemkin #3201; RMG #3201
-! Library reaction: restart
-! Flux pairs: C7H9LR(212), C7H9LR(215);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R
-C7H9LR(212)<=>C7H9LR(215) 4.825870e+53 -11.671 45.710
-
-! Reaction index: Chemkin #3202; RMG #3202
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H6R(79), C8H13R2(216); C4H7R(60), C8H13R2(216);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H6R(79)+C4H7R(60)<=>C8H13R2(216) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3203; RMG #3203
-! Library reaction: restart
-! Flux pairs: C7H9LR(217), C7H9LR(215);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_1R!H-inRing_3R!H-inRing_Ext-5R!H-R
-C7H9LR(217)<=>C7H9LR(215) 4.825870e+53 -11.671 43.097
-
-! Reaction index: Chemkin #3204; RMG #3204
-! Library reaction: restart
-! Flux pairs: C7H9LR(218), C7H9LR(212);
-! Estimated from node Backbone4_N-Sp-5R!H-2R!H_Sp-2R!H-1R!H_N-3R!H-inRing_6R!H->C_Sp-3R!H-1R!H
-C7H9LR(218)<=>C7H9LR(212) 5.228090e+01 2.741 14.849
-
-! Reaction index: Chemkin #3205; RMG #3205
-! Library reaction: restart
-! Flux pairs: C7H9LR(218), C7H9LR(217);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R
-C7H9LR(218)<=>C7H9LR(217) 2.322560e-20 8.934 1.317
-
-! Reaction index: Chemkin #3206; RMG #3206
-! Library reaction: restart
-! Flux pairs: H(82), C3H5L(86); C3H4L(219), C3H5L(86);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C3H4L(219)<=>C3H5L(86) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #3207; RMG #3207
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+[CH2]C(C)CR(6)<=>C3H4L(219)+CC(C)CR(20) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3208; RMG #3208
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CR(10), CCCR(27); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C[CH]CR(10)<=>C3H4L(219)+CCCR(27) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3209; RMG #3209
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)L(4), CC(C)L(13); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+[CH2]C(C)L(4)<=>C3H4L(219)+CC(C)L(13) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3210; RMG #3210
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(86), C3H4L(219); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C3H5L(86)<=>CCL(26)+C3H4L(219) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3211; RMG #3211
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C6H12L(11)<=>C3H4L(219)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3212; RMG #3212
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5L(86); C3H4L(219), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C[CH]CR(10)<=>C3H5R(12)+C3H5L(86) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3213; RMG #3213
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(86), C3H4L(219); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C3H5L(86)<=>CR(22)+C3H4L(219) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3214; RMG #3214
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C[CH]CC(C)CR(5)<=>C3H5L(86)+C6H11R(17) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3215; RMG #3215
-! Library reaction: restart
-! Flux pairs: [CH2]CC(195), C3H6(18); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+[CH2]CC(195)<=>C3H5L(86)+C3H6(18) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3216; RMG #3216
-! Library reaction: restart
-! Flux pairs: C[CH]C(94), C3H6(18); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(219)+C[CH]C(94)<=>C3H5L(86)+C3H6(18) 2.451710e+27 -4.376 6.166
-
-! Reaction index: Chemkin #3217; RMG #3217
-! Library reaction: restart
-! Flux pairs: C3H4L(219), C3H5L(86); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C3H4L(219)<=>C2H3L(19)+C3H5L(86) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3218; RMG #3218
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C8H16L(15)<=>C3H5L(86)+C8H15L(21) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3219; RMG #3219
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C[CH]CC(C)L(7)<=>C3H5L(86)+C5H9L(24) 1.225850e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3220; RMG #3220
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C[CH]CC(C)CR(5)<=>C3H5L(86)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3221; RMG #3221
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C[CH]CC(C)L(7)<=>C3H5L(86)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3222; RMG #3222
-! Library reaction: restart
-! Flux pairs: C[CH]CR(10), C3H5R(58); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C[CH]CR(10)<=>C3H5L(86)+C3H5R(58) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3223; RMG #3223
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)L(4), C3H5L(86); C3H4L(219), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+[CH2]C(C)L(4)<=>C3H5L(59)+C3H5L(86) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3224; RMG #3224
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+[CH2]C(C)CR(6)<=>C3H5L(86)+C4H7R(60) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3225; RMG #3225
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C8H16L(15)<=>C3H5L(86)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3226; RMG #3226
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+C7H14R(9)<=>C3H5L(86)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3227; RMG #3227
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+C6H12L(11)<=>C3H5L(86)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3228; RMG #3228
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C10H20R(64)<=>C3H4L(219)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3229; RMG #3229
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(86), C3H4L(219); CH3(74), C(75);
-! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C3H5L(86)<=>C(75)+C3H4L(219) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #3230; RMG #3230
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C5H9L(57)<=>C3H5L(86)+C5H8L(77) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3231; RMG #3231
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C5H9L(84)<=>C3H5L(86)+C5H8L(77) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3232; RMG #3232
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(12), C3H5L(86); C3H4L(219), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C3H5R(12)<=>C3H4R(78)+C3H5L(86) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3233; RMG #3233
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5R(58), C3H5L(86); C3H4L(219), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C3H5R(58)<=>C3H4R(78)+C3H5L(86) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3234; RMG #3234
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(79); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C4H7R(60)<=>C3H5L(86)+C4H6R(79) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3235; RMG #3235
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H6R(79); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(219)+C4H7R(81)<=>C3H5L(86)+C4H6R(79) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3236; RMG #3236
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C7H15(85)<=>C3H4L(219)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3237; RMG #3237
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(67)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3238; RMG #3238
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(70)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3239; RMG #3239
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C[CH]CC(C)CR(5)<=>C3H4L(219)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3240; RMG #3240
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C7H14R(9)<=>C3H4L(219)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3241; RMG #3241
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C[CH]CC(C)L(7)<=>C3H4L(219)+CCCC(C)L(16) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3242; RMG #3242
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C3H4L(219), C3H5L(86);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3243; RMG #3243
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(66)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3244; RMG #3244
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(68)<=>C3H4L(219)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3245; RMG #3245
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C3H4L(219), C3H5L(86);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3246; RMG #3246
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(71)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3247; RMG #3247
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C3H4L(219), C3H5L(86);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+RC10L(1)<=>C3H5L(86)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3248; RMG #3248
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C9H17LR(73)<=>C3H4L(219)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3249; RMG #3249
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C8H16L(15)<=>C3H4L(219)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3250; RMG #3250
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C5H9L(24)<=>C3H5L(86)+C5H8L(89) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3251; RMG #3251
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C3H4L(219), C3H5L(86);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C5H9L(57)<=>C3H5L(86)+C5H8L(89) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3252; RMG #3252
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C6H11R(56)<=>C3H5L(86)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3253; RMG #3253
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H11R(98)<=>C3H5L(86)+C6H10R(90) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3254; RMG #3254
-! Template reaction: H_Abstraction
-! Flux pairs: CCC(95), C[CH]C(94); C3H4L(219), C3H5L(86);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+CCC(95)<=>C3H5L(86)+C[CH]C(94) 2.920000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3255; RMG #3255
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C3H4L(219), C3H5L(86);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C3H6(18)<=>C3H5L(86)+C3H5(102) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3256; RMG #3256
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H11L(63)<=>C3H5L(86)+C6H10L(103) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3257; RMG #3257
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(219)+C6H11L(107)<=>C3H5L(86)+C6H10L(103) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3258; RMG #3258
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C7H13R(62)<=>C3H5L(86)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3259; RMG #3259
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(219)+C7H13R(120)<=>C3H5L(86)+C7H12R(108) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3260; RMG #3260
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C6H10(110)<=>C3H5L(86)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3261; RMG #3261
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H10(116)<=>C3H5L(86)+C6H9(114) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3262; RMG #3262
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C8H15L(61)<=>C3H5L(86)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3263; RMG #3263
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3264; RMG #3264
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C3H4L(219), C3H5L(86);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H8(118)<=>C3H5L(86)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3265; RMG #3265
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C3H4L(219), C3H5L(86);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H8(125)<=>C3H5L(86)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3266; RMG #3266
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3267; RMG #3267
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(219)+C6H9(160)<=>C3H5L(86)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3268; RMG #3268
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(59), C3H5L(86); C3H4L(219), C3H4L(147);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C3H5L(59)<=>C3H4L(147)+C3H5L(86) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3269; RMG #3269
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5L(86)+C4H7(156)<=>C3H4L(219)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3270; RMG #3270
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H10(116)<=>C3H5L(86)+C6H9(160) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3271; RMG #3271
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C6H11L(107)<=>C3H5L(86)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3272; RMG #3272
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H11R(17)<=>C3H5L(86)+C6H10R(171) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3273; RMG #3273
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C3H4L(219), C3H5L(86);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C6H11R(56)<=>C3H5L(86)+C6H10R(171) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3274; RMG #3274
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C5H8(173)<=>C3H5L(86)+C5H7(174) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3275; RMG #3275
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(219)+C5H8(180)<=>C3H5L(86)+C5H7(178) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3276; RMG #3276
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C10H15(183)<=>C3H5L(86)+C10H14(184) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3277; RMG #3277
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(219)+C5H7(178)<=>C3H5L(86)+C5H6(187) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3278; RMG #3278
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C3H4L(219), C3H5L(86);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C5H6(187)<=>C3H5L(86)+C5H5(189) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3279; RMG #3279
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C8H13(191)<=>C3H5L(86)+C8H12(194) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3280; RMG #3280
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]CC(195), CCC(95); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+[CH2]CC(195)<=>C3H4L(219)+CCC(95) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3281; RMG #3281
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C7H13R(120)<=>C3H5L(86)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3282; RMG #3282
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C10H13(202)<=>C3H5L(86)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3283; RMG #3283
-! Template reaction: H_Abstraction
-! Flux pairs: CC(L)CC(C)L(35), C5H9L2(203); C3H4L(219), C3H5L(86);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+CC(L)CC(C)L(35)<=>C3H5L(86)+C5H9L2(203) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #3284; RMG #3284
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+C10H20L(76)<=>C3H4L(219)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3285; RMG #3285
-! Template reaction: H_Abstraction
-! Flux pairs: C3H5L(86), C3H4L(219); H(82), [H][H](83);
-! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C3H5L(86)<=>[H][H](83)+C3H4L(219) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #3286; RMG #3286
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H4L(219), C7H9LR(218); C4H5R(220), C7H9LR(218);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H4L(219)+C4H5R(220)<=>C7H9LR(218) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3287; RMG #3287
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C7H9(221), C2H4(196); C7H9(221), C5H5(189);
-! Matched reaction 13 C7H9-5 <=> C2H4 + C5H5 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-CdCdH]
-! family: R_Addition_MultipleBond
-C7H9(221)<=>C2H4(196)+C5H5(189) 1.870000e+11 0.680 13.900
-
-! Reaction index: Chemkin #3288; RMG #3288
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5R(220), C9H12R(222); C5H7(174), C9H12R(222);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5R(220)+C5H7(174)<=>C9H12R(222) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3289; RMG #3289
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H8(157), C9H15(223); C5H7(174), C9H15(223);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H8(157)+C5H7(174)<=>C9H15(223) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3290; RMG #3290
-! Library reaction: restart
-! Flux pairs: H(82), C4H7R(60); C4H6R(224), C4H7R(60);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C4H6R(224)<=>C4H7R(60) 3.251960e+13 0.255 0.000
-
-! Reaction index: Chemkin #3291; RMG #3291
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); C[CH]CR(10), CCCR(27);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C4H7R(60)<=>CCCR(27)+C4H6R(224) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3292; RMG #3292
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C4H7R(60)<=>CC(C)L(13)+C4H6R(224) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3293; RMG #3293
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); C[CH]L(8), CCL(26);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C4H7R(60)<=>CCL(26)+C4H6R(224) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3294; RMG #3294
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C4H6R(224)<=>C3H5R(12)+C4H7R(60) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3295; RMG #3295
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C4H7R(60)<=>CR(22)+C4H6R(224) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3296; RMG #3296
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(17) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3297; RMG #3297
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-[CH2]CC(195)+C4H6R(224)<=>C3H6(18)+C4H7R(60) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3298; RMG #3298
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C[CH]C(94)+C4H6R(224)<=>C3H6(18)+C4H7R(60) 4.903420e+27 -4.376 6.166
-
-! Reaction index: Chemkin #3299; RMG #3299
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C4H6R(224)<=>C2H3L(19)+C4H7R(60) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3300; RMG #3300
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C8H16L(15)<=>C4H7R(60)+C8H15L(21) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3301; RMG #3301
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(24) 2.451710e+27 -4.376 6.090
-
-! Reaction index: Chemkin #3302; RMG #3302
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C[CH]CC(C)CR(5)<=>C4H7R(60)+C6H11R(56) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3303; RMG #3303
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C[CH]CC(C)L(7)<=>C4H7R(60)+C5H9L(57) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3304; RMG #3304
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C[CH]CR(10)+C4H6R(224)<=>C3H5R(58)+C4H7R(60) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3305; RMG #3305
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C4H7R(60); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C4H6R(224)<=>C3H5L(59)+C4H7R(60) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #3306; RMG #3306
-! Library reaction: restart
-! Flux pairs: [CH2]C(C)CR(6), C4H7R(60); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7R(60) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #3307; RMG #3307
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C7H14R(9)<=>C4H7R(60)+C7H13R(62) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #3308; RMG #3308
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C6H12L(11)<=>C4H7R(60)+C6H11L(63) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #3309; RMG #3309
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C10H20R(64)<=>C4H6R(224)+RC10(2) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3310; RMG #3310
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C[CH]CC(C)L(7)<=>C4H6R(224)+CCCC(C)L(16) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3311; RMG #3311
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C8H16L(15)<=>C4H7R(60)+C8H15L(61) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3312; RMG #3312
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(65)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3313; RMG #3313
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+[CH2]C(C)CR(6)<=>C4H6R(224)+CC(C)CR(20) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3314; RMG #3314
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C[CH]CC(C)CR(5)<=>C4H6R(224)+CCCC(C)CR(32) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3315; RMG #3315
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C7H14R(9)<=>C4H6R(224)+CC(C)CC(C)CR(23) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3316; RMG #3316
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C6H12L(11)<=>C4H6R(224)+CC(C)CC(C)L(25) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3317; RMG #3317
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C8H16L(15)<=>C4H6R(224)+C8H17L(49) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3318; RMG #3318
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(66)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3319; RMG #3319
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(67)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3320; RMG #3320
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(68)<=>C4H6R(224)+RC10L(1) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3321; RMG #3321
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(69)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3322; RMG #3322
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(70)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3323; RMG #3323
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(71)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3324; RMG #3324
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(72)<=>C4H6R(224)+RC10L(1) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3325; RMG #3325
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C9H17LR(73)<=>C4H6R(224)+RC10L(1) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3326; RMG #3326
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); CH3(74), C(75);
-! From training reaction 760 used for C/H3/Cd\Cs_Cd\H2;C_methyl
-! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C4H7R(60)<=>C(75)+C4H6R(224) 5.940000e-02 4.260 7.550
-
-! Reaction index: Chemkin #3327; RMG #3327
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C4H7R(60), C4H6R(224);
-! Estimated using average of templates [C/H3/Cd;C_rad/H/NonDeC] + [C/H3/Cd\Cs_Cd\H2;C_sec_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C10H20L(76)<=>C4H6R(224)+LC10(3) 1.200370e-04 4.665 5.150
-
-! Reaction index: Chemkin #3328; RMG #3328
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C5H9L(57)<=>C4H7R(60)+C5H8L(77) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3329; RMG #3329
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(84), C5H8L(77); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C5H9L(84)<=>C4H7R(60)+C5H8L(77) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3330; RMG #3330
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H5R(12)+C4H6R(224)<=>C3H4R(78)+C4H7R(60) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3331; RMG #3331
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5R(58)+C4H6R(224)<=>C3H4R(78)+C4H7R(60) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3332; RMG #3332
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H7R(60); C4H6R(224), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C4H7R(60)<=>C4H6R(79)+C4H7R(60) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3333; RMG #3333
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(81), C4H7R(60); C4H6R(224), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H6R(224)+C4H7R(81)<=>C4H6R(79)+C4H7R(60) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #3334; RMG #3334
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); H(82), [H][H](83);
-! From training reaction 759 used for C/H3/Cd\Cs_Cd\H2;H_rad
-! Exact match found for rate rule [C/H3/Cd\Cs_Cd\H2;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C4H7R(60)<=>[H][H](83)+C4H6R(224) 2.514000e+03 3.180 4.370
-
-! Reaction index: Chemkin #3335; RMG #3335
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C7H15(85)<=>C4H6R(224)+CC(C)CC(C)C(87) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3336; RMG #3336
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(24), C5H8L(89); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C5H9L(24)<=>C4H7R(60)+C5H8L(89) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3337; RMG #3337
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(89); C4H6R(224), C4H7R(60);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C5H9L(57)<=>C4H7R(60)+C5H8L(89) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3338; RMG #3338
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C6H11R(56)<=>C4H7R(60)+C6H10R(90) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3339; RMG #3339
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(98), C6H10R(90); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H11R(98)<=>C4H7R(60)+C6H10R(90) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3340; RMG #3340
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); C[CH]C(94), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]C(94)+C4H7R(60)<=>CCC(95)+C4H6R(224) 1.008000e-03 4.340 4.700
-
-! Reaction index: Chemkin #3341; RMG #3341
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H6(18)+C4H6R(224)<=>C3H5(102)+C4H7R(60) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3342; RMG #3342
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(63), C6H10L(103); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H11L(63)<=>C4H7R(60)+C6H10L(103) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3343; RMG #3343
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(103); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H6R(224)+C6H11L(107)<=>C4H7R(60)+C6H10L(103) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #3344; RMG #3344
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(62), C7H12R(108); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C7H13R(62)<=>C4H7R(60)+C7H12R(108) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3345; RMG #3345
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(108); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-C4H6R(224)+C7H13R(120)<=>C4H7R(60)+C7H12R(108) 1.740000e-02 4.340 13.600
-
-! Reaction index: Chemkin #3346; RMG #3346
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C8H15L(61)<=>C4H7R(60)+C8H14L(112) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3347; RMG #3347
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C6H10(110)<=>C4H7R(60)+C6H9(113) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3348; RMG #3348
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(114); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H10(116)<=>C4H7R(60)+C6H9(114) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3349; RMG #3349
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3350; RMG #3350
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(123); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H8(118)<=>C4H7R(60)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3351; RMG #3351
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H7(123); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H8(125)<=>C4H7R(60)+C6H7(123) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3352; RMG #3352
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3353; RMG #3353
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C4H6R(224)+C6H9(160)<=>C4H7R(60)+C6H8(125) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #3354; RMG #3354
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C3H5L(59), C3H4L(147);
-! Estimated using average of templates [C/H3/Cd;C_rad/H2/Cd] + [C/H3/Cd\Cs_Cd\H2;C_pri_rad] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5L(59)+C4H6R(224)<=>C3H4L(147)+C4H7R(60) 6.617840e-04 4.615 8.960
-
-! Reaction index: Chemkin #3355; RMG #3355
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7(156), C4H8(157); C4H7R(60), C4H6R(224);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(60)+C4H7(156)<=>C4H6R(224)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3356; RMG #3356
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(116), C6H9(160); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H10(116)<=>C4H7R(60)+C6H9(160) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3357; RMG #3357
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C6H11L(107)<=>C4H7R(60)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3358; RMG #3358
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(17), C6H10R(171); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H11R(17)<=>C4H7R(60)+C6H10R(171) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3359; RMG #3359
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(171); C4H6R(224), C4H7R(60);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C6H11R(56)<=>C4H7R(60)+C6H10R(171) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3360; RMG #3360
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C5H8(173)<=>C4H7R(60)+C5H7(174) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3361; RMG #3361
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(180), C5H7(178); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C4H6R(224)+C5H8(180)<=>C4H7R(60)+C5H7(178) 3.616000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3362; RMG #3362
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C10H15(183)<=>C4H7R(60)+C10H14(184) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3363; RMG #3363
-! Library reaction: restart
-! Flux pairs: C5H7(178), C5H6(187); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 8.0
-C4H6R(224)+C5H7(178)<=>C4H7R(60)+C5H6(187) 6.191740e+12 0.025 0.000
-
-! Reaction index: Chemkin #3364; RMG #3364
-! Template reaction: H_Abstraction
-! Flux pairs: C5H6(187), C5H5(189); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C5H6(187)<=>C4H7R(60)+C5H5(189) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #3365; RMG #3365
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C8H13(191)<=>C4H7R(60)+C8H12(194) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3366; RMG #3366
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7R(60), C4H6R(224); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C4H7R(60)<=>CCC(95)+C4H6R(224) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #3367; RMG #3367
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C7H13R(120)<=>C4H7R(60)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #3368; RMG #3368
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C10H13(202)<=>C4H7R(60)+C10H12(201) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3369; RMG #3369
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C10H14(179)<=>C4H7R(60)+C10H13(202) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3370; RMG #3370
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+C5H9L2(203)<=>C4H6R(224)+CC(L)CC(C)L(35) 4.320000e-05 4.520 1.460
-
-! Reaction index: Chemkin #3371; RMG #3371
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5L(86)+C4H6R(224)<=>C3H4L(219)+C4H7R(60) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3372; RMG #3372
-! Library reaction: restart
-! Flux pairs: C4H6R(224), RC[C]1CC1(225);
-! Estimated from node Backbone0
-C4H6R(224)<=>RC[C]1CC1(225) 1.014560e+05 2.304 29.598
-
-! Reaction index: Chemkin #3373; RMG #3373
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C11H15(226); C6H8(118), C11H15(226);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H7(174)+C6H8(118)<=>C11H15(226) 2.880000e+01 2.740 3.300
-
-! Reaction index: Chemkin #3374; RMG #3374
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(81), C9H14R(227); C5H7(174), C9H14R(227);
-! From training reaction 457 used for Cds-CsH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-CsH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H7R(81)+C5H7(174)<=>C9H14R(227) 2.680000e+04 2.410 12.700
-
-! Reaction index: Chemkin #3375; RMG #3375
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H6R(224), C9H13LR(228); C5H7L(104), C9H13LR(228);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H6R(224)+C5H7L(104)<=>C9H13LR(228) 5.640000e+04 2.410 8.390
-
-! Reaction index: Chemkin #3376; RMG #3376
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H16(229); C6H9(160), C11H16(229);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H9(160)<=>C11H16(229) 7.071720e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3377; RMG #3377
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), C7H10L(230); C5H7(174), C7H10L(230);
-! From training reaction 6 used for Cds-HH_Cds-CsH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C5H7(174)<=>C7H10L(230) 1.310000e+03 2.620 10.900
-
-! Reaction index: Chemkin #3378; RMG #3378
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H15(231); C6H9(160), C9H15(231);
-! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H9(160)<=>C9H15(231) 7.720000e+03 2.410 11.370
-
-! Reaction index: Chemkin #3379; RMG #3379
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H16R(232); C6H9(161), C10H16R(232);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H9(161)<=>C10H16R(232) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3380; RMG #3380
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C11H15(233); C6H8(125), C11H15(233);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H7(174)+C6H8(125)<=>C11H15(233) 2.880000e+01 2.740 3.300
-
-! Reaction index: Chemkin #3381; RMG #3381
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C11H15(234); C6H8(125), C11H15(234);
-! From training reaction 493 used for Cds-CsH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C6H8(125)<=>C11H15(234) 2.720000e+04 2.410 9.870
-
-! Reaction index: Chemkin #3382; RMG #3382
-! Library reaction: restart
-! Flux pairs: H(82), C11H16(229); C11H15(234), C11H16(229);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C11H15(234)<=>C11H16(229) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #3383; RMG #3383
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H15(234)<=>C3H5R(12)+C11H16(229) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3384; RMG #3384
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H15(234)<=>C6H11R(17)+C11H16(229) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #3385; RMG #3385
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C11H15(234)<=>C3H6(18)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3386; RMG #3386
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C11H15(234)<=>C3H6(18)+C11H16(229) 2.451710e+27 -4.376 7.519
-
-! Reaction index: Chemkin #3387; RMG #3387
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H15(234)<=>C2H3L(19)+C11H16(229) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3388; RMG #3388
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H15(234)<=>C8H15L(21)+C11H16(229) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #3389; RMG #3389
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H15(234)<=>C5H9L(24)+C11H16(229) 1.225850e+27 -4.376 7.433
-
-! Reaction index: Chemkin #3390; RMG #3390
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C11H15(234)<=>C6H11R(56)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3391; RMG #3391
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C11H15(234)<=>C5H9L(57)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3392; RMG #3392
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C11H15(234)<=>C3H5R(58)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3393; RMG #3393
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C11H15(234)<=>C3H5L(59)+C11H16(229) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #3394; RMG #3394
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C11H15(234)<=>C4H7R(60)+C11H16(229) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #3395; RMG #3395
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C11H15(234)<=>C8H15L(61)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3396; RMG #3396
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C11H15(234)<=>C7H13R(62)+C11H16(229) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3397; RMG #3397
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C11H15(234)<=>C6H11L(63)+C11H16(229) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3398; RMG #3398
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H15(234)<=>C6H8(118)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3399; RMG #3399
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C11H15(234)<=>C5H8L(77)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3400; RMG #3400
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C11H16(229)<=>C5H9L(84)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3401; RMG #3401
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C11H16(229)<=>C3H5R(12)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3402; RMG #3402
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C11H16(229)<=>C3H5R(58)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3403; RMG #3403
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C11H16(229)<=>C4H7R(60)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3404; RMG #3404
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C11H16(229)<=>C4H7R(81)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3405; RMG #3405
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C11H15(234)<=>C3H5(102)+C11H16(229) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3406; RMG #3406
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C11H15(234)<=>C6H9(113)+C11H16(229) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3407; RMG #3407
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C11H15(234)<=>C6H9(114)+C11H16(229) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3408; RMG #3408
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H15(234)<=>C6H8(125)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3409; RMG #3409
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C11H15(234)<=>C6H8(125)+C11H16(229) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3410; RMG #3410
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C11H16(229)<=>C3H5L(59)+C11H15(234) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3411; RMG #3411
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C11H15(234)<=>C6H9(160)+C11H16(229) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3412; RMG #3412
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C11H15(234)<=>C5H7(174)+C11H16(229) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3413; RMG #3413
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C11H15(234)<=>C5H7(178)+C11H16(229) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3414; RMG #3414
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C11H15(234)<=>C10H14(184)+C11H16(229) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #3415; RMG #3415
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C11H15(234)<=>C5H6(187)+C11H16(229) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3416; RMG #3416
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C11H15(234)<=>C8H12(194)+C11H16(229) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3417; RMG #3417
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C11H15(234)<=>C10H12(201)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3418; RMG #3418
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C11H16(229)<=>C5H9L(24)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3419; RMG #3419
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C11H16(229)<=>C5H9L(57)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3420; RMG #3420
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C11H15(234)<=>C6H10R(90)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3421; RMG #3421
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H10R(90), C6H11R(98);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C11H16(229)<=>C6H11R(98)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3422; RMG #3422
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H10L(103), C6H11L(63);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C11H16(229)<=>C6H11L(63)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3423; RMG #3423
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C11H16(229)<=>C6H11L(107)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3424; RMG #3424
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C7H12R(108), C7H13R(62);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C11H16(229)<=>C7H13R(62)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3425; RMG #3425
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C11H16(229)<=>C7H13R(120)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3426; RMG #3426
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C11H15(234)<=>C6H10L(169)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3427; RMG #3427
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C7H13R(120), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C11H15(234)<=>C7H12R(199)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #3428; RMG #3428
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C11H16(229)<=>C4H7R(60)+C11H15(234) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3429; RMG #3429
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H15(234)<=>C9H17LR(65)+C11H16(229) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3430; RMG #3430
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H15(234)<=>C9H17LR(69)+C11H16(229) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3431; RMG #3431
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3432; RMG #3432
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3433; RMG #3433
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H15(234)<=>C9H17LR(72)+C11H16(229) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #3434; RMG #3434
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3435; RMG #3435
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3436; RMG #3436
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3437; RMG #3437
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C11H16(229)<=>RC10L(1)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3438; RMG #3438
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C11H16(229)<=>CC(C)L(13)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3439; RMG #3439
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C11H16(229)<=>CCCC(C)L(16)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3440; RMG #3440
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H10R(171), C6H11R(17);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C11H16(229)<=>C6H11R(17)+C11H15(234) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #3441; RMG #3441
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C11H16(229)<=>CC(C)CR(20)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3442; RMG #3442
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C11H16(229)<=>CR(22)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3443; RMG #3443
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C11H16(229)<=>CC(C)CC(C)CR(23)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3444; RMG #3444
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C11H16(229)<=>CC(C)CC(C)L(25)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3445; RMG #3445
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C11H16(229)<=>CCL(26)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3446; RMG #3446
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C11H16(229)<=>CCCR(27)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3447; RMG #3447
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C11H16(229)<=>CCCC(C)CR(32)+C11H15(234) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3448; RMG #3448
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C11H16(229)<=>C6H11R(56)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3449; RMG #3449
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C11H15(234)<=>CH3(74)+C11H16(229) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #3450; RMG #3450
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C11H15(234)<=>C[CH]C(94)+C11H16(229) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #3451; RMG #3451
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C11H16(229)<=>CCC(95)+C11H15(234) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3452; RMG #3452
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C11H15(234)<=>C6H7(123)+C11H16(229) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #3453; RMG #3453
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C11H15(234)<=>C6H7(123)+C11H16(229) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #3454; RMG #3454
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C11H16(229)<=>C4H8(157)+C11H15(234) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #3455; RMG #3455
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7(174), C10H15(235); C5H8(173), C10H15(235);
-! From training reaction 475 used for Cds-CsH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7(174)+C5H8(173)<=>C10H15(235) 2.380000e+04 2.410 10.290
-
-! Reaction index: Chemkin #3456; RMG #3456
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C8H11LR(236); C4H6R(224), C8H11LR(236);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C4H6R(224)<=>C8H11LR(236) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3457; RMG #3457
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C7H12L(237); C4H7(156), C7H12L(237);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C4H7(156)<=>C7H12L(237) 5.580000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3458; RMG #3458
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H8(173), C11H17(238); C6H9(113), C11H17(238);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H8(173)+C6H9(113)<=>C11H17(238) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3459; RMG #3459
-! Template reaction: R_Recombination
-! Flux pairs: H(82), C6H8(118); C6H7(239), C6H8(118);
-! Matched reaction 15 C6H7-3 + H <=> C6H8-4 in R_Recombination/training
-! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_3C-inRing_Ext-4R!H-R_Ext-5R!H-R_N-Sp-6R!H-5R!H]
-! family: R_Recombination
-H(82)+C6H7(239)<=>C6H8(118) 3.156000e+12 0.461 -0.001
-
-! Reaction index: Chemkin #3460; RMG #3460
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H8(118)<=>CC(C)CR(20)+C6H7(239) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3461; RMG #3461
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C[CH]CR(10), CCCR(27);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H8(118)<=>CCCR(27)+C6H7(239) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3462; RMG #3462
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3463; RMG #3463
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H8(118)<=>CC(C)L(13)+C6H7(239) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3464; RMG #3464
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3465; RMG #3465
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H8(118)<=>CCCC(C)L(16)+C6H7(239) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3466; RMG #3466
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C6H8(118)<=>CCL(26)+C6H7(239) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3467; RMG #3467
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3468; RMG #3468
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(118) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #3469; RMG #3469
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C6H8(118)<=>CR(22)+C6H7(239) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3470; RMG #3470
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(17) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #3471; RMG #3471
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3472; RMG #3472
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(118) 2.451710e+27 -4.376 8.092
-
-! Reaction index: Chemkin #3473; RMG #3473
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(118) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #3474; RMG #3474
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H16L(15)<=>C6H8(118)+C8H15L(21) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #3475; RMG #3475
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(118) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #3476; RMG #3476
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(118)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3477; RMG #3477
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3478; RMG #3478
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3479; RMG #3479
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(118) 7.830000e+11 0.000 0.211
-
-! Reaction index: Chemkin #3480; RMG #3480
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(118) 7.830000e+11 0.000 0.211
-
-! Reaction index: Chemkin #3481; RMG #3481
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C8H16L(15)<=>C6H8(118)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3482; RMG #3482
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H7(239)+C7H14R(9)<=>C6H8(118)+C7H13R(62) 7.830000e+11 0.000 0.172
-
-! Reaction index: Chemkin #3483; RMG #3483
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H7(239)+C6H12L(11)<=>C6H8(118)+C6H11L(63) 7.830000e+11 0.000 0.172
-
-! Reaction index: Chemkin #3484; RMG #3484
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(65)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856
-
-! Reaction index: Chemkin #3485; RMG #3485
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3486; RMG #3486
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3487; RMG #3487
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3488; RMG #3488
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(69)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856
-
-! Reaction index: Chemkin #3489; RMG #3489
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3490; RMG #3490
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3491; RMG #3491
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(72)<=>C6H7(239)+RC10L(1) 2.568460e-04 4.418 3.856
-
-! Reaction index: Chemkin #3492; RMG #3492
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3493; RMG #3493
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); CH3(74), C(75);
-! Estimated using template [C/H3/Cd;C_methyl] for rate rule [2_methyl_CPD;C_methyl]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C6H8(118)<=>C(75)+C6H7(239) 6.752800e-02 4.253 7.537
-
-! Reaction index: Chemkin #3494; RMG #3494
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H8L(77), C5H9L(57);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(118)<=>C5H9L(57)+C6H7(239) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #3495; RMG #3495
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H8L(77), C5H9L(84);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(118)<=>C5H9L(84)+C6H7(239) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3496; RMG #3496
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C3H4R(78), C3H5R(12);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(118)<=>C3H5R(12)+C6H7(239) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3497; RMG #3497
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C3H4R(78), C3H5R(58);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(118)<=>C3H5R(58)+C6H7(239) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3498; RMG #3498
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C4H6R(79), C4H7R(60);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(118)<=>C4H7R(60)+C6H7(239) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3499; RMG #3499
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C4H6R(79), C4H7R(81);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(118)<=>C4H7R(81)+C6H7(239) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3500; RMG #3500
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3501; RMG #3501
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H8L(89), C5H9L(24);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(118)<=>C5H9L(24)+C6H7(239) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3502; RMG #3502
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H8L(89), C5H9L(57);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(118)<=>C5H9L(57)+C6H7(239) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3503; RMG #3503
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(56); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(90)<=>C6H7(239)+C6H11R(56) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #3504; RMG #3504
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3505; RMG #3505
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C[CH]C(94), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H/Cs\H3/Cs\H3] for rate rule [2_methyl_CPD;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]C(94)+C6H8(118)<=>CCC(95)+C6H7(239) 1.008000e-03 4.340 4.700
-
-! Reaction index: Chemkin #3506; RMG #3506
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C3H5(102), C3H6(18);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H5(102)+C6H8(118)<=>C3H6(18)+C6H7(239) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3507; RMG #3507
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3508; RMG #3508
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3509; RMG #3509
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3510; RMG #3510
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3511; RMG #3511
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C8H14L(112)<=>C6H7(239)+C8H15L(61) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #3512; RMG #3512
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C6H7(239), C6H8(118);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H7(239)+C6H10(110)<=>C6H8(118)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3513; RMG #3513
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H9(114)<=>C6H7(239)+C6H10(116) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3514; RMG #3514
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(118)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3515; RMG #3515
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3516; RMG #3516
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C10H20R(64)<=>C6H7(239)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3517; RMG #3517
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [2_methyl_CPD;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C10H20L(76)<=>C6H7(239)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #3518; RMG #3518
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); H(82), [H][H](83);
-! Estimated using template [C/H3/Cd;H_rad] for rate rule [2_methyl_CPD;H_rad]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C6H8(118)<=>[H][H](83)+C6H7(239) 3.050340e+03 3.153 4.317
-
-! Reaction index: Chemkin #3519; RMG #3519
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H8(118); C6H7(123), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H7(123)+C6H8(118)<=>C6H7(239)+C6H8(118) 6.780000e-03 4.340 19.700
-
-! Reaction index: Chemkin #3520; RMG #3520
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H8(125); C6H7(123), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H7(123)+C6H8(118)<=>C6H7(239)+C6H8(125) 6.780000e-03 4.340 19.700
-
-! Reaction index: Chemkin #3521; RMG #3521
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(118)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3522; RMG #3522
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(239)+C6H9(160)<=>C6H8(118)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3523; RMG #3523
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C3H4L(147), C3H5L(59);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C6H8(118)<=>C3H5L(59)+C6H7(239) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3524; RMG #3524
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C6H8(118)<=>C4H8(157)+C6H7(239) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3525; RMG #3525
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H8(118)+C6H9(160)<=>C6H7(239)+C6H10(116) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3526; RMG #3526
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(169), C6H11L(107); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(169)<=>C6H7(239)+C6H11L(107) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #3527; RMG #3527
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3528; RMG #3528
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3529; RMG #3529
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(118); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H7(239)<=>C5H7(174)+C6H8(118) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3530; RMG #3530
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H7(178), C5H8(180);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H7(178)+C6H8(118)<=>C5H8(180)+C6H7(239) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3531; RMG #3531
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H15(183)<=>C6H8(118)+C10H14(184) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #3532; RMG #3532
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3533; RMG #3533
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H5(189), C5H6(187);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCd] for rate rule [2_methyl_CPD;C_rad/H/CdCd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 15.0
-! family: H_Abstraction
-C5H5(189)+C6H8(118)<=>C5H6(187)+C6H7(239) 1.695000e-02 4.340 19.700
-
-! Reaction index: Chemkin #3534; RMG #3534
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H13(191)<=>C6H8(118)+C8H12(194) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #3535; RMG #3535
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H8(118)<=>CCC(95)+C6H7(239) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #3536; RMG #3536
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(199)<=>C6H7(239)+C7H13R(120) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #3537; RMG #3537
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H13(202)<=>C6H8(118)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3538; RMG #3538
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C10H13(202)<=>C6H7(239)+C10H14(179) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3539; RMG #3539
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated using template [C/H3/Cd;C_rad/Cs3] for rate rule [2_methyl_CPD;C_rad/Cs3]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H9L2(203)+C6H8(118)<=>CC(L)CC(C)L(35)+C6H7(239) 2.568460e-04 4.418 3.856
-
-! Reaction index: Chemkin #3540; RMG #3540
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C3H4L(219), C3H5L(86);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C6H8(118)<=>C3H5L(86)+C6H7(239) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3541; RMG #3541
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C4H6R(224), C4H7R(60);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [2_methyl_CPD;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C6H8(118)<=>C4H7R(60)+C6H7(239) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #3542; RMG #3542
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C11H15(234)<=>C6H7(239)+C11H16(229) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #3543; RMG #3543
-! Library reaction: restart
-! Flux pairs: C4H6R(224), C10H13R(240); C6H7(239), C10H13R(240);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C6H7(239)<=>C10H13R(240) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3544; RMG #3544
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H12L(241); C6H7(239), C9H12L(241);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H7(239)<=>C9H12L(241) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3545; RMG #3545
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H4(196), C8H11(242); C6H7(239), C8H11(242);
-! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH
-! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-! Ea raised from 19.0 to 20.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 20.1 to 20.1 kJ/mol to match endothermicity of reaction.
-C2H4(196)+C6H7(239)<=>C8H11(242) 2.971820e+02 2.951 4.811
-
-! Reaction index: Chemkin #3546; RMG #3546
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H12L(243); C6H7(239), C10H12L(243);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H7(239)<=>C10H12L(243) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3547; RMG #3547
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(244); C6H7(239), C12H14(244);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H7(239)<=>C12H14(244) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3548; RMG #3548
-! Library reaction: restart
-! Flux pairs: C9H12L(241), C9H12L(245);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C9H12L(241)<=>C9H12L(245) 1.260000e+11 0.160 5.938
-
-! Reaction index: Chemkin #3549; RMG #3549
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(246); C6H7(239), C11H14(246);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H7(239)<=>C11H14(246) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3550; RMG #3550
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H14R(247); C6H7(239), C10H14R(247);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H7(239)<=>C10H14R(247) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3551; RMG #3551
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H14L(248); C6H7(239), C11H14L(248);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H7(239)<=>C11H14L(248) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #3552; RMG #3552
-! Library reaction: restart
-! Flux pairs: C10H12L(243), C10H12L(249);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C10H12L(243)<=>C10H12L(249) 1.260000e+11 0.160 11.046
-
-! Reaction index: Chemkin #3553; RMG #3553
-! Library reaction: restart
-! Flux pairs: C10H14R(247), C10H14R(250);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C10H14R(247)<=>C10H14R(250) 1.260000e+11 0.160 5.938
-
-! Reaction index: Chemkin #3554; RMG #3554
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(251); C6H7(239), C11H14(251);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H7(239)<=>C11H14(251) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3555; RMG #3555
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H7(123); C6H6(252), C6H7(123);
-! Matched reaction 63 C6H6 + H <=> C6H7-4 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-HH_Cds-CdCd;HJ]
-! family: R_Addition_MultipleBond
-H(82)+C6H6(252)<=>C6H7(123) 1.031000e+09 1.339 -0.477
-
-! Reaction index: Chemkin #3556; RMG #3556
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C6H7(123)<=>C5H8(173)+C6H6(252) 2.451710e+27 -4.376 12.126
-
-! Reaction index: Chemkin #3557; RMG #3557
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C6H7(123)<=>C5H8(180)+C6H6(252) 2.451710e+27 -4.376 11.389
-
-! Reaction index: Chemkin #3558; RMG #3558
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H7(239); C6H6(252), C6H7(239);
-! Matched reaction 66 C6H6-4 + H <=> C6H7-7 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-CdH_Cds-CdH_cyc5_2;HJ]
-! family: R_Addition_MultipleBond
-H(82)+C6H6(252)<=>C6H7(239) 2.022000e+09 1.369 2.244
-
-! Reaction index: Chemkin #3559; RMG #3559
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C6H7(239)<=>CCL(26)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3560; RMG #3560
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H7(239)<=>C5H9L(57)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3561; RMG #3561
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H7(239)<=>C5H9L(84)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3562; RMG #3562
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H7(123)<=>C3H5R(12)+C6H6(252) 1.225850e+27 -4.376 10.481
-
-! Reaction index: Chemkin #3563; RMG #3563
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H7(123)<=>C3H5R(58)+C6H6(252) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3564; RMG #3564
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H7(239)<=>C3H5R(12)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3565; RMG #3565
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H7(239)<=>C3H5R(58)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3566; RMG #3566
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H7(239)<=>C4H7R(60)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3567; RMG #3567
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H7(239)<=>C4H7R(81)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3568; RMG #3568
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(90)<=>C6H6(252)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3569; RMG #3569
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(90)<=>C6H6(252)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3570; RMG #3570
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C6H7(239)<=>C3H6(18)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3571; RMG #3571
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(113)<=>C6H6(252)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3572; RMG #3572
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C6H7(239)<=>C3H5L(59)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3573; RMG #3573
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C6H7(239)<=>C4H8(157)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3574; RMG #3574
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H7(239)<=>C5H8(173)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3575; RMG #3575
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C6H7(239)<=>C5H6(187)+C6H6(252) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #3576; RMG #3576
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C6H7(239)<=>C4H7R(60)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3577; RMG #3577
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3578; RMG #3578
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H7(239)<=>C5H9L(24)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3579; RMG #3579
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H7(239)<=>C5H9L(57)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3580; RMG #3580
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10L(103)<=>C6H6(252)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3581; RMG #3581
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10L(103)<=>C6H6(252)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3582; RMG #3582
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H12R(108)<=>C6H6(252)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3583; RMG #3583
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H12R(108)<=>C6H6(252)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3584; RMG #3584
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H6(252)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3585; RMG #3585
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(239)+C6H9(160)<=>C6H6(252)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3586; RMG #3586
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10L(169)<=>C6H6(252)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3587; RMG #3587
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H7(239)<=>C5H8(180)+C6H6(252) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3588; RMG #3588
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H12R(199)<=>C6H6(252)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3589; RMG #3589
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C6H7(239)<=>C3H5L(86)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3590; RMG #3590
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(65)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3591; RMG #3591
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(65)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445
-
-! Reaction index: Chemkin #3592; RMG #3592
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(69)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3593; RMG #3593
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(69)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445
-
-! Reaction index: Chemkin #3594; RMG #3594
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(66)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3595; RMG #3595
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(66)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3596; RMG #3596
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(68)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3597; RMG #3597
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(68)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3598; RMG #3598
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(72)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3599; RMG #3599
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(72)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 7.445
-
-! Reaction index: Chemkin #3600; RMG #3600
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(73)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3601; RMG #3601
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(73)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3602; RMG #3602
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(71)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3603; RMG #3603
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(71)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3604; RMG #3604
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(67)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3605; RMG #3605
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(67)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3606; RMG #3606
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H17LR(70)<=>C6H6(252)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3607; RMG #3607
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C9H17LR(70)<=>C6H6(252)+RC10L(1) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3608; RMG #3608
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H20R(64)<=>C6H6(252)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3609; RMG #3609
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C10H20R(64)<=>C6H6(252)+RC10(2) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3610; RMG #3610
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H20L(76)<=>C6H6(252)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3611; RMG #3611
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C10H20L(76)<=>C6H6(252)+LC10(3) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3612; RMG #3612
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H7(239)<=>CC(C)L(13)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3613; RMG #3613
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C6H7(123)<=>CC(C)L(13)+C6H6(252) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3614; RMG #3614
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H7(239)<=>CCCC(C)L(16)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3615; RMG #3615
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H7(123)<=>CCCC(C)L(16)+C6H6(252) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3616; RMG #3616
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(171)<=>C6H6(252)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3617; RMG #3617
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10R(171)<=>C6H6(252)+C6H11R(17) 1.225850e+27 -4.376 10.646
-
-! Reaction index: Chemkin #3618; RMG #3618
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C6H7(123)<=>C3H6(18)+C6H6(252) 2.451710e+27 -4.376 9.658
-
-! Reaction index: Chemkin #3619; RMG #3619
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H7(239)<=>CC(C)CR(20)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3620; RMG #3620
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C6H7(123)<=>CC(C)CR(20)+C6H6(252) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3621; RMG #3621
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C6H7(239)<=>CR(22)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3622; RMG #3622
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C6H7(123)<=>CR(22)+C6H6(252) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3623; RMG #3623
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H14R(9)<=>C6H6(252)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3624; RMG #3624
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H14R(9)<=>C6H6(252)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3625; RMG #3625
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H7(123)<=>C5H9L(24)+C6H6(252) 1.225850e+27 -4.376 10.646
-
-! Reaction index: Chemkin #3626; RMG #3626
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H12L(11)<=>C6H6(252)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3627; RMG #3627
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H12L(11)<=>C6H6(252)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3628; RMG #3628
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H7(123)<=>CCL(26)+C6H6(252) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3629; RMG #3629
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H7(239)<=>CCCR(27)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3630; RMG #3630
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H7(123)<=>CCCR(27)+C6H6(252) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3631; RMG #3631
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H6(252)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3632; RMG #3632
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C[CH]CC(C)CR(5)<=>C6H6(252)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3633; RMG #3633
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C6H7(239)<=>CC(L)CC(C)L(35)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3634; RMG #3634
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C6H7(123)<=>CC(L)CC(C)L(35)+C6H6(252) 1.225850e+27 -4.376 7.445
-
-! Reaction index: Chemkin #3635; RMG #3635
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C8H16L(15)<=>C6H6(252)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3636; RMG #3636
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C8H16L(15)<=>C6H6(252)+C8H17L(49) 1.225850e+27 -4.376 6.982
-
-! Reaction index: Chemkin #3637; RMG #3637
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10R(90)<=>C6H6(252)+C6H11R(56) 1.225850e+27 -4.376 11.046
-
-! Reaction index: Chemkin #3638; RMG #3638
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(171)<=>C6H6(252)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3639; RMG #3639
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10R(171)<=>C6H6(252)+C6H11R(56) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3640; RMG #3640
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H7(123)<=>C5H9L(57)+C6H6(252) 1.225850e+27 -4.376 11.046
-
-! Reaction index: Chemkin #3641; RMG #3641
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H7(123)<=>C5H9L(57)+C6H6(252) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3642; RMG #3642
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C6H7(123)<=>C3H5L(59)+C6H6(252) 2.451710e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3643; RMG #3643
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C6H7(123)<=>C4H7R(60)+C6H6(252) 2.451710e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3644; RMG #3644
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H7(123)<=>C4H7R(60)+C6H6(252) 1.225850e+27 -4.376 10.481
-
-! Reaction index: Chemkin #3645; RMG #3645
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C8H14L(112)<=>C6H6(252)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3646; RMG #3646
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C8H14L(112)<=>C6H6(252)+C8H15L(61) 1.225850e+27 -4.376 11.046
-
-! Reaction index: Chemkin #3647; RMG #3647
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H12R(108)<=>C6H6(252)+C7H13R(62) 1.225850e+27 -4.376 10.646
-
-! Reaction index: Chemkin #3648; RMG #3648
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10L(103)<=>C6H6(252)+C6H11L(63) 1.225850e+27 -4.376 10.646
-
-! Reaction index: Chemkin #3649; RMG #3649
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H7(239)<=>C(75)+C6H6(252) 1.150000e+13 -0.320 0.119
-DUPLICATE
-
-! Reaction index: Chemkin #3650; RMG #3650
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C6H7(123)<=>C(75)+C6H6(252) 1.225850e+27 -4.376 5.544
-
-! Reaction index: Chemkin #3651; RMG #3651
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H7(239)<=>C(75)+C6H6(252) 9.124700e+12 -0.160 0.119
-DUPLICATE
-
-! Reaction index: Chemkin #3652; RMG #3652
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H7(123)<=>C4H7R(81)+C6H6(252) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3653; RMG #3653
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H7(239)<=>[H][H](83)+C6H6(252) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #3654; RMG #3654
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C6H7(123)<=>[H][H](83)+C6H6(252) 1.225850e+27 -4.376 5.722
-
-! Reaction index: Chemkin #3655; RMG #3655
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H7(123)<=>C5H9L(84)+C6H6(252) 1.225850e+27 -4.376 10.631
-
-! Reaction index: Chemkin #3656; RMG #3656
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C6H7(123)<=>C3H5L(86)+C6H6(252) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3657; RMG #3657
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H15(85)<=>C6H6(252)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3658; RMG #3658
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H15(85)<=>C6H6(252)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 6.383
-
-! Reaction index: Chemkin #3659; RMG #3659
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C6H7(239)<=>CCC(95)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3660; RMG #3660
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C6H7(123)<=>CCC(95)+C6H6(252) 1.225850e+27 -4.376 6.958
-
-! Reaction index: Chemkin #3661; RMG #3661
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H6(252); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H7(239)<=>CCC(95)+C6H6(252) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3662; RMG #3662
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C6H7(123)<=>CCC(95)+C6H6(252) 1.225850e+27 -4.376 6.278
-
-! Reaction index: Chemkin #3663; RMG #3663
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10R(90)<=>C6H6(252)+C6H11R(98) 1.225850e+27 -4.376 10.631
-
-! Reaction index: Chemkin #3664; RMG #3664
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10L(169)<=>C6H6(252)+C6H11L(107) 1.225850e+27 -4.376 11.046
-
-! Reaction index: Chemkin #3665; RMG #3665
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10L(103)<=>C6H6(252)+C6H11L(107) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3666; RMG #3666
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H9(113)<=>C6H6(252)+C6H10(110) 1.225850e+27 -4.376 12.241
-
-! Reaction index: Chemkin #3667; RMG #3667
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C6H9(160)<=>C6H6(252)+C6H10(116) 2.451710e+27 -4.376 11.389
-
-! Reaction index: Chemkin #3668; RMG #3668
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H9(114)<=>C6H6(252)+C6H10(116) 1.225850e+27 -4.376 11.389
-
-! Reaction index: Chemkin #3669; RMG #3669
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 3.095870e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3670; RMG #3670
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C6H7(123)<=>C6H6(252)+C6H8(118) 4.903420e+27 -4.376 10.607
-
-! Reaction index: Chemkin #3671; RMG #3671
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.225850e+27 -4.376 12.126
-DUPLICATE
-
-! Reaction index: Chemkin #3672; RMG #3672
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H12R(199)<=>C6H6(252)+C7H13R(120) 1.225850e+27 -4.376 11.046
-
-! Reaction index: Chemkin #3673; RMG #3673
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H12R(108)<=>C6H6(252)+C7H13R(120) 1.225850e+27 -4.376 9.625
-
-! Reaction index: Chemkin #3674; RMG #3674
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(125); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #3675; RMG #3675
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C6H7(123)<=>C6H6(252)+C6H8(125) 4.903420e+27 -4.376 10.713
-
-! Reaction index: Chemkin #3676; RMG #3676
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C6H7(123)<=>C4H8(157)+C6H6(252) 2.451710e+27 -4.376 9.245
-
-! Reaction index: Chemkin #3677; RMG #3677
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H6(252); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C6H7(123)<=>C5H6(187)+C6H6(252) 6.129270e+27 -4.376 10.585
-
-! Reaction index: Chemkin #3678; RMG #3678
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H13(202)<=>C6H6(252)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3679; RMG #3679
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C10H13(202)<=>C6H6(252)+C10H14(179) 1.225850e+27 -4.376 11.468
-
-! Reaction index: Chemkin #3680; RMG #3680
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H15(234)<=>C6H6(252)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #3681; RMG #3681
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C11H15(234)<=>C6H6(252)+C11H16(229) 1.225850e+27 -4.376 11.389
-
-! Reaction index: Chemkin #3682; RMG #3682
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H15L2(253); C6H10L(103), C9H15L2(253);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H10L(103)<=>C9H15L2(253) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3683; RMG #3683
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(254); C6H7(239), C12H14(254);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H7(239)<=>C12H14(254) 2.500000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3684; RMG #3684
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(255); C6H7(239), C12H14(255);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H7(239)<=>C12H14(255) 2.500000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3685; RMG #3685
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H8(173), C11H15(256); C6H7(239), C11H15(256);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H8(173)+C6H7(239)<=>C11H15(256) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #3686; RMG #3686
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(257); C6H7(239), C12H14(257);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H7(239)<=>C12H14(257) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3687; RMG #3687
-! Library reaction: restart
-! Flux pairs: C11H14L(248), C11H14L(258);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C11H14L(248)<=>C11H14L(258) 1.260000e+11 0.160 12.012
-
-! Reaction index: Chemkin #3688; RMG #3688
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C10H14(179)<=>CCCC(C)L(16)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3689; RMG #3689
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C10H14(179)<=>CC(C)CC(C)CR(23)+C10H13(202) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #3690; RMG #3690
-! Template reaction: H_Abstraction
-! Flux pairs: C10H14(179), C10H13(202); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C10H14(179)<=>CCCC(C)CR(32)+C10H13(202) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #3691; RMG #3691
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C11H15(234)<=>C5H9L2(203)+C11H16(229) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #3692; RMG #3692
-! Template reaction: H_Abstraction
-! Flux pairs: C11H16(229), C11H15(234); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C11H16(229)<=>C3H5L(86)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #3693; RMG #3693
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H18L(259); C6H11L(63), C12H18L(259);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H11L(63)<=>C12H18L(259) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #3694; RMG #3694
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H13(260); C6H7(239), C9H13(260);
-! From training reaction 242 used for Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H7(239)<=>C9H13(260) 3.860000e+03 2.410 11.370
-
-! Reaction index: Chemkin #3695; RMG #3695
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(261); C6H7(239), C12H14(261);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H7(239)<=>C12H14(261) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3696; RMG #3696
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 3.095870e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3697; RMG #3697
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(118) 1.225850e+27 -4.376 12.126
-DUPLICATE
-
-! Reaction index: Chemkin #3698; RMG #3698
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C5H8L(77); C5H7L(262), C5H8L(77);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C5H7L(262)<=>C5H8L(77) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #3699; RMG #3699
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C5H8L(77)<=>CCCR(27)+C5H7L(262) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3700; RMG #3700
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C5H8L(77)<=>CCL(26)+C5H7L(262) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3701; RMG #3701
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #3702; RMG #3702
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C5H8L(77)<=>C5H7L(262)+C5H9L(84) 1.225850e+27 -4.376 9.545
-
-! Reaction index: Chemkin #3703; RMG #3703
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C5H8L(77)<=>C3H5R(12)+C5H7L(262) 1.225850e+27 -4.376 9.405
-
-! Reaction index: Chemkin #3704; RMG #3704
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C5H8L(77)<=>C3H5R(58)+C5H7L(262) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3705; RMG #3705
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C5H8L(77)<=>C4H7R(60)+C5H7L(262) 1.225850e+27 -4.376 9.405
-
-! Reaction index: Chemkin #3706; RMG #3706
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C5H8L(77)<=>C4H7R(81)+C5H7L(262) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3707; RMG #3707
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H15(85)<=>C5H7L(262)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3708; RMG #3708
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C5H8L(89); C5H7L(262), C5H8L(89);
-! From training reaction 2570 used for Cds-CsCs_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C5H7L(262)<=>C5H8L(89) 7.170000e+07 1.640 1.180
-
-! Reaction index: Chemkin #3709; RMG #3709
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 5.258140e+13 -0.550 0.671
-DUPLICATE
-
-! Reaction index: Chemkin #3710; RMG #3710
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(84); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(84) 5.258140e+13 -0.550 0.547
-
-! Reaction index: Chemkin #3711; RMG #3711
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(24); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(24) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #3712; RMG #3712
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 8.605
-DUPLICATE
-
-! Reaction index: Chemkin #3713; RMG #3713
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+C5H8L(89)<=>C3H5R(12)+C5H7L(262) 5.258140e+13 -0.550 0.505
-
-! Reaction index: Chemkin #3714; RMG #3714
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+C5H8L(89)<=>C3H5R(58)+C5H7L(262) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3715; RMG #3715
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+C5H8L(89)<=>C4H7R(60)+C5H7L(262) 5.258140e+13 -0.550 0.505
-
-! Reaction index: Chemkin #3716; RMG #3716
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+C5H8L(89)<=>C4H7R(81)+C5H7L(262) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3717; RMG #3717
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(24); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C5H8L(89)<=>C5H7L(262)+C5H9L(24) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #3718; RMG #3718
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H9L(57); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C5H8L(89)<=>C5H7L(262)+C5H9L(57) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3719; RMG #3719
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(90)<=>C5H7L(262)+C6H11R(56) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #3720; RMG #3720
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(90)<=>C5H7L(262)+C6H11R(98) 1.225850e+27 -4.376 9.545
-
-! Reaction index: Chemkin #3721; RMG #3721
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10R(90)<=>C5H7L(262)+C6H11R(56) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #3722; RMG #3722
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10R(90)<=>C5H7L(262)+C6H11R(98) 5.258140e+13 -0.550 0.547
-
-! Reaction index: Chemkin #3723; RMG #3723
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C5H8L(77)<=>C3H6(18)+C5H7L(262) 2.451710e+27 -4.376 8.636
-
-! Reaction index: Chemkin #3724; RMG #3724
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C5H8L(89)<=>C3H6(18)+C5H7L(262) 1.566000e+12 0.000 0.301
-
-! Reaction index: Chemkin #3725; RMG #3725
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10L(103)<=>C5H7L(262)+C6H11L(63) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #3726; RMG #3726
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10L(103)<=>C5H7L(262)+C6H11L(107) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3727; RMG #3727
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10L(103)<=>C5H7L(262)+C6H11L(63) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #3728; RMG #3728
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H10L(103)<=>C5H7L(262)+C6H11L(107) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3729; RMG #3729
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H12R(108)<=>C5H7L(262)+C7H13R(62) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #3730; RMG #3730
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H12R(108)<=>C5H7L(262)+C7H13R(120) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3731; RMG #3731
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C7H12R(108)<=>C5H7L(262)+C7H13R(62) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #3732; RMG #3732
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C7H12R(108)<=>C5H7L(262)+C7H13R(120) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3733; RMG #3733
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H9(113)<=>C5H7L(262)+C6H10(110) 1.225850e+27 -4.376 11.055
-
-! Reaction index: Chemkin #3734; RMG #3734
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H9(114)<=>C5H7L(262)+C6H10(116) 1.225850e+27 -4.376 10.255
-
-! Reaction index: Chemkin #3735; RMG #3735
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H9(113)<=>C5H7L(262)+C6H10(110) 7.830000e+11 0.000 1.085
-
-! Reaction index: Chemkin #3736; RMG #3736
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H9(114)<=>C5H7L(262)+C6H10(116) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #3737; RMG #3737
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C5H8L(77)<=>C3H5L(59)+C5H7L(262) 2.451710e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3738; RMG #3738
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C5H8L(77)<=>C4H8(157)+C5H7L(262) 2.451710e+27 -4.376 8.251
-
-! Reaction index: Chemkin #3739; RMG #3739
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H8(173); C5H7(174), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C5H8L(77)<=>C5H7L(262)+C5H8(173) 2.451710e+27 -4.376 10.947
-
-! Reaction index: Chemkin #3740; RMG #3740
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H8(173); C5H7(174), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C5H8L(89)<=>C5H7L(262)+C5H8(173) 1.566000e+12 0.000 1.042
-
-! Reaction index: Chemkin #3741; RMG #3741
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H8(180); C5H7(178), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C5H8L(77)<=>C5H7L(262)+C5H8(180) 2.451710e+27 -4.376 10.255
-
-! Reaction index: Chemkin #3742; RMG #3742
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H8(180); C5H7(178), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C5H8L(89)<=>C5H7L(262)+C5H8(180) 1.051630e+14 -0.550 0.781
-
-! Reaction index: Chemkin #3743; RMG #3743
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C5H8L(77)<=>C5H6(187)+C5H7L(262) 6.129270e+27 -4.376 9.503
-
-! Reaction index: Chemkin #3744; RMG #3744
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C5H8L(77)<=>C4H7R(60)+C5H7L(262) 2.451710e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3745; RMG #3745
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(118) 1.225850e+27 -4.376 10.947
-
-! Reaction index: Chemkin #3746; RMG #3746
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(118); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(118) 7.830000e+11 0.000 1.042
-
-! Reaction index: Chemkin #3747; RMG #3747
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(65)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3748; RMG #3748
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(65)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578
-
-! Reaction index: Chemkin #3749; RMG #3749
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(69)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3750; RMG #3750
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(69)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578
-
-! Reaction index: Chemkin #3751; RMG #3751
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(66)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3752; RMG #3752
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(66)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3753; RMG #3753
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(68)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3754; RMG #3754
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(68)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3755; RMG #3755
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(72)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3756; RMG #3756
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(72)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.578
-
-! Reaction index: Chemkin #3757; RMG #3757
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C9H17LR(73)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3758; RMG #3758
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(73)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3759; RMG #3759
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C9H17LR(71)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3760; RMG #3760
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(71)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3761; RMG #3761
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C9H17LR(67)<=>C5H7L(262)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3762; RMG #3762
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(67)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3763; RMG #3763
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C9H17LR(70)<=>C5H7L(262)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3764; RMG #3764
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H17LR(70)<=>C5H7L(262)+RC10L(1) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3765; RMG #3765
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C10H20R(64)<=>C5H7L(262)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3766; RMG #3766
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H20R(64)<=>C5H7L(262)+RC10(2) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3767; RMG #3767
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C10H20L(76)<=>C5H7L(262)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3768; RMG #3768
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H20L(76)<=>C5H7L(262)+LC10(3) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3769; RMG #3769
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C5H8L(89)<=>CC(C)L(13)+C5H7L(262) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3770; RMG #3770
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C5H8L(77)<=>CC(C)L(13)+C5H7L(262) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3771; RMG #3771
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C[CH]CC(C)L(7)<=>C5H7L(262)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3772; RMG #3772
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)L(7)<=>C5H7L(262)+CCCC(C)L(16) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3773; RMG #3773
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10R(171)<=>C5H7L(262)+C6H11R(17) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #3774; RMG #3774
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(171)<=>C5H7L(262)+C6H11R(17) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #3775; RMG #3775
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C5H8L(89)<=>CC(C)CR(20)+C5H7L(262) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3776; RMG #3776
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C5H8L(77)<=>CC(C)CR(20)+C5H7L(262) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3777; RMG #3777
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+C5H8L(89)<=>CR(22)+C5H7L(262) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3778; RMG #3778
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C5H8L(77)<=>CR(22)+C5H7L(262) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3779; RMG #3779
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C7H14R(9)<=>C5H7L(262)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3780; RMG #3780
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H14R(9)<=>C5H7L(262)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3781; RMG #3781
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H12L(11)<=>C5H7L(262)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3782; RMG #3782
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H12L(11)<=>C5H7L(262)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 5.597
-
-! Reaction index: Chemkin #3783; RMG #3783
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+C5H8L(89)<=>CCL(26)+C5H7L(262) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3784; RMG #3784
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+C5H8L(89)<=>CCCR(27)+C5H7L(262) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3785; RMG #3785
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C[CH]CC(C)CR(5)<=>C5H7L(262)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3786; RMG #3786
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C[CH]CC(C)CR(5)<=>C5H7L(262)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3787; RMG #3787
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C5H9L2(203)<=>C5H7L(262)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3788; RMG #3788
-! Library reaction: restart
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C5H9L2(203)<=>C5H7L(262)+CC(L)CC(C)L(35) 1.225850e+27 -4.376 6.578
-
-! Reaction index: Chemkin #3789; RMG #3789
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C8H16L(15)<=>C5H7L(262)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3790; RMG #3790
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H16L(15)<=>C5H7L(262)+C8H17L(49) 1.225850e+27 -4.376 6.150
-
-! Reaction index: Chemkin #3791; RMG #3791
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H10R(171)<=>C5H7L(262)+C6H11R(56) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3792; RMG #3792
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(171)<=>C5H7L(262)+C6H11R(56) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3793; RMG #3793
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 5.258140e+13 -0.550 0.671
-DUPLICATE
-
-! Reaction index: Chemkin #3794; RMG #3794
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H9L(57); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C5H8L(77)<=>C5H7L(262)+C5H9L(57) 1.225850e+27 -4.376 8.605
-DUPLICATE
-
-! Reaction index: Chemkin #3795; RMG #3795
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C5H8L(89)<=>C3H5L(59)+C5H7L(262) 1.566000e+12 0.000 0.294
-
-! Reaction index: Chemkin #3796; RMG #3796
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C5H8L(89)<=>C4H7R(60)+C5H7L(262) 1.566000e+12 0.000 0.294
-
-! Reaction index: Chemkin #3797; RMG #3797
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C8H14L(112)<=>C5H7L(262)+C8H15L(61) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #3798; RMG #3798
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C8H14L(112)<=>C5H7L(262)+C8H15L(61) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #3799; RMG #3799
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+C5H8L(89)<=>C(75)+C5H7L(262) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #3800; RMG #3800
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C5H8L(77)<=>C(75)+C5H7L(262) 1.225850e+27 -4.376 4.826
-
-! Reaction index: Chemkin #3801; RMG #3801
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C
-H(82)+C5H8L(89)<=>[H][H](83)+C5H7L(262) 4.559710e+12 -0.222 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3802; RMG #3802
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C5H8L(77)<=>[H][H](83)+C5H7L(262) 1.225850e+27 -4.376 4.989
-
-! Reaction index: Chemkin #3803; RMG #3803
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+C5H8L(89)<=>[H][H](83)+C5H7L(262) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #3804; RMG #3804
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+C5H8L(89)<=>C3H5L(86)+C5H7L(262) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #3805; RMG #3805
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C5H8L(77)<=>C3H5L(86)+C5H7L(262) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #3806; RMG #3806
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C7H15(85)<=>C5H7L(262)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3807; RMG #3807
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]C(94)+C5H8L(89)<=>CCC(95)+C5H7L(262) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #3808; RMG #3808
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C5H8L(77)<=>CCC(95)+C5H7L(262) 1.225850e+27 -4.376 6.128
-
-! Reaction index: Chemkin #3809; RMG #3809
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+C5H8L(89)<=>CCC(95)+C5H7L(262) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #3810; RMG #3810
-! Library reaction: restart
-! Flux pairs: C5H8L(77), C5H7L(262); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C5H8L(77)<=>CCC(95)+C5H7L(262) 1.225850e+27 -4.376 5.501
-
-! Reaction index: Chemkin #3811; RMG #3811
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10L(169)<=>C5H7L(262)+C6H11L(107) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #3812; RMG #3812
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10L(169)<=>C5H7L(262)+C6H11L(107) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #3813; RMG #3813
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H9(160)<=>C5H7L(262)+C6H10(116) 1.051630e+14 -0.550 0.781
-
-! Reaction index: Chemkin #3814; RMG #3814
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H10(116); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C6H9(160)<=>C5H7L(262)+C6H10(116) 2.451710e+27 -4.376 10.255
-
-! Reaction index: Chemkin #3815; RMG #3815
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H7(123)<=>C5H7L(262)+C6H8(118) 1.051630e+14 -0.550 0.540
-
-! Reaction index: Chemkin #3816; RMG #3816
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(118); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C6H7(123)<=>C5H7L(262)+C6H8(118) 2.451710e+27 -4.376 9.523
-
-! Reaction index: Chemkin #3817; RMG #3817
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C7H12R(199)<=>C5H7L(262)+C7H13R(120) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #3818; RMG #3818
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H12R(199)<=>C5H7L(262)+C7H13R(120) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #3819; RMG #3819
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H7(123)<=>C5H7L(262)+C6H8(125) 1.051630e+14 -0.550 0.571
-
-! Reaction index: Chemkin #3820; RMG #3820
-! Library reaction: restart
-! Flux pairs: C6H7(123), C6H8(125); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C6H7(123)<=>C5H7L(262)+C6H8(125) 2.451710e+27 -4.376 9.622
-
-! Reaction index: Chemkin #3821; RMG #3821
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C5H8L(89)<=>C4H8(157)+C5H7L(262) 1.566000e+12 0.000 0.217
-
-! Reaction index: Chemkin #3822; RMG #3822
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C10H13(202)<=>C5H7L(262)+C10H14(179) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #3823; RMG #3823
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H13(202)<=>C5H7L(262)+C10H14(179) 1.225850e+27 -4.376 10.329
-
-! Reaction index: Chemkin #3824; RMG #3824
-! Library reaction: restart
-! Flux pairs: C5H8L(89), C5H7L(262); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C5H8L(89)<=>C5H6(187)+C5H7L(262) 2.629070e+14 -0.550 0.534
-
-! Reaction index: Chemkin #3825; RMG #3825
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C11H15(234)<=>C5H7L(262)+C11H16(229) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #3826; RMG #3826
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(234)<=>C5H7L(262)+C11H16(229) 1.225850e+27 -4.376 10.255
-
-! Reaction index: Chemkin #3827; RMG #3827
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C9H11R(263); C6H7(239), C9H11R(263);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C3H4R(78)+C6H7(239)<=>C9H11R(263) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3828; RMG #3828
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C9H11R(264); C6H7(239), C9H11R(264);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C3H4R(78)+C6H7(239)<=>C9H11R(264) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3829; RMG #3829
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H15(265);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C11H15(256)<=>C11H15(265) 1.260000e+11 0.160 11.046
-
-! Reaction index: Chemkin #3830; RMG #3830
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H17(266); C6H10(110), C12H17(266);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H10(110)<=>C12H17(266) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #3831; RMG #3831
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(267); C6H9(114), C12H16(267);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H9(114)<=>C12H16(267) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3832; RMG #3832
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C9H11R(268); C6H7(239), C9H11R(268);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C3H4R(78)+C6H7(239)<=>C9H11R(268) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3833; RMG #3833
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(269); C6H9(114), C12H16(269);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H9(114)<=>C12H16(269) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3834; RMG #3834
-! Library reaction: restart
-! Flux pairs: C3H4R(78), C9H11R(270); C6H7(239), C9H11R(270);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C3H4R(78)+C6H7(239)<=>C9H11R(270) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3835; RMG #3835
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(271); C6H7(239), C11H14(271);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H7(239)<=>C11H14(271) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #3836; RMG #3836
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C11H15(256); C11H14(271), C11H15(256);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H14(271)<=>C11H15(256) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #3837; RMG #3837
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #3838; RMG #3838
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #3839; RMG #3839
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3840; RMG #3840
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3841; RMG #3841
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #3842; RMG #3842
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3843; RMG #3843
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3844; RMG #3844
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3845; RMG #3845
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H15(256)<=>RC10L(1)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3846; RMG #3846
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H15(256)<=>RC10(2)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3847; RMG #3847
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H15(256)<=>LC10(3)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3848; RMG #3848
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(256)<=>C3H5R(12)+C11H14(271) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #3849; RMG #3849
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H15(256)<=>CC(C)L(13)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3850; RMG #3850
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(256)<=>C6H11R(17)+C11H14(271) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #3851; RMG #3851
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H15(256)<=>C3H6(18)+C11H14(271) 2.451710e+27 -4.376 8.460
-
-! Reaction index: Chemkin #3852; RMG #3852
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H15(256)<=>CC(C)CR(20)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3853; RMG #3853
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H15(256)<=>CR(22)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3854; RMG #3854
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H15(256)<=>CC(C)CC(C)CR(23)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3855; RMG #3855
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(256)<=>C5H9L(24)+C11H14(271) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #3856; RMG #3856
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H15(256)<=>CC(C)CC(C)L(25)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3857; RMG #3857
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H15(256)<=>CCL(26)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3858; RMG #3858
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H15(256)<=>CCCR(27)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3859; RMG #3859
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(256)<=>C6H11R(56)+C11H14(271) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #3860; RMG #3860
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(256)<=>C6H11R(56)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3861; RMG #3861
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(256)<=>C5H9L(57)+C11H14(271) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #3862; RMG #3862
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(256)<=>C5H9L(57)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3863; RMG #3863
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(256)<=>C3H5R(58)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3864; RMG #3864
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H15(256)<=>C3H5L(59)+C11H14(271) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3865; RMG #3865
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H15(256)<=>C4H7R(60)+C11H14(271) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3866; RMG #3866
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(256)<=>C4H7R(60)+C11H14(271) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #3867; RMG #3867
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H15(256)<=>C8H15L(61)+C11H14(271) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #3868; RMG #3868
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(256)<=>C7H13R(62)+C11H14(271) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #3869; RMG #3869
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(256)<=>C6H11L(63)+C11H14(271) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #3870; RMG #3870
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H15(256)<=>C(75)+C11H14(271) 1.225850e+27 -4.376 4.703
-
-! Reaction index: Chemkin #3871; RMG #3871
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(256)<=>C4H7R(81)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3872; RMG #3872
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H15(256)<=>[H][H](83)+C11H14(271) 1.225850e+27 -4.376 4.864
-
-! Reaction index: Chemkin #3873; RMG #3873
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(256)<=>C5H9L(84)+C11H14(271) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #3874; RMG #3874
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H15(256)<=>CCC(95)+C11H14(271) 1.225850e+27 -4.376 5.985
-
-! Reaction index: Chemkin #3875; RMG #3875
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H15(256)<=>CCC(95)+C11H14(271) 1.225850e+27 -4.376 5.367
-
-! Reaction index: Chemkin #3876; RMG #3876
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(256)<=>C6H11R(98)+C11H14(271) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #3877; RMG #3877
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(256)<=>C6H11L(107)+C11H14(271) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #3878; RMG #3878
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(256)<=>C6H11L(107)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3879; RMG #3879
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H15(256)<=>C6H10(110)+C11H14(271) 1.225850e+27 -4.376 10.849
-
-! Reaction index: Chemkin #3880; RMG #3880
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H15(256)<=>C6H10(116)+C11H14(271) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #3881; RMG #3881
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H15(256)<=>C6H10(116)+C11H14(271) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #3882; RMG #3882
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(256)<=>C7H13R(120)+C11H14(271) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #3883; RMG #3883
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(256)<=>C7H13R(120)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3884; RMG #3884
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H15(256)<=>C5H8(173)+C11H14(271) 2.451710e+27 -4.376 10.743
-
-! Reaction index: Chemkin #3885; RMG #3885
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H15(256)<=>C3H5L(86)+C11H14(271) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #3886; RMG #3886
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H15(256)<=>CC(C)CC(C)C(87)+C11H14(271) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #3887; RMG #3887
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(256)<=>C6H8(118)+C11H14(271) 2.451710e+27 -4.376 9.335
-
-! Reaction index: Chemkin #3888; RMG #3888
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(256)<=>C6H8(118)+C11H14(271) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #3889; RMG #3889
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(256)<=>C6H8(125)+C11H14(271) 2.451710e+27 -4.376 9.433
-
-! Reaction index: Chemkin #3890; RMG #3890
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H15(256)<=>C4H8(157)+C11H14(271) 2.451710e+27 -4.376 8.079
-
-! Reaction index: Chemkin #3891; RMG #3891
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H15(256)<=>C5H8(180)+C11H14(271) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #3892; RMG #3892
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H15(256)<=>C5H6(187)+C11H14(271) 6.129270e+27 -4.376 9.315
-
-! Reaction index: Chemkin #3893; RMG #3893
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H15(256)<=>CCCC(C)L(16)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3894; RMG #3894
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H15(256)<=>CCCC(C)CR(32)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3895; RMG #3895
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H15(256)<=>CC(L)CC(C)L(35)+C11H14(271) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #3896; RMG #3896
-! Library reaction: restart
-! Flux pairs: C3H5(102), C9H12(272); C6H7(239), C9H12(272);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H7(239)<=>C9H12(272) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3897; RMG #3897
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C9H13(260); C9H12(272), C9H13(260);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H12(272)<=>C9H13(260) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #3898; RMG #3898
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(65)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3899; RMG #3899
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(69)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3900; RMG #3900
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(66)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3901; RMG #3901
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(68)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3902; RMG #3902
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(72)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3903; RMG #3903
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(73)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3904; RMG #3904
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(71)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3905; RMG #3905
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(67)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3906; RMG #3906
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C9H17LR(70)<=>C9H12(272)+RC10L(1) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3907; RMG #3907
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C10H20R(64)<=>C9H12(272)+RC10(2) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3908; RMG #3908
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C10H20L(76)<=>C9H12(272)+LC10(3) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3909; RMG #3909
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H13(260)<=>C3H5R(12)+C9H12(272) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3910; RMG #3910
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C9H13(260)<=>CC(C)L(13)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3911; RMG #3911
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H13(260)<=>CCCC(C)L(16)+C9H12(272) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3912; RMG #3912
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H13(260)<=>C6H11R(17)+C9H12(272) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #3913; RMG #3913
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C9H13(260)<=>C3H6(18)+C9H12(272) 2.451710e+27 -4.376 6.289
-
-! Reaction index: Chemkin #3914; RMG #3914
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C9H13(260)<=>CC(C)CR(20)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3915; RMG #3915
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C9H13(260)<=>CR(22)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3916; RMG #3916
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C9H13(260)<=>CC(C)CC(C)CR(23)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3917; RMG #3917
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H13(260)<=>C5H9L(24)+C9H12(272) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #3918; RMG #3918
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C9H13(260)<=>CC(C)CC(C)L(25)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3919; RMG #3919
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H13(260)<=>CCL(26)+C9H12(272) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3920; RMG #3920
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H13(260)<=>CCCR(27)+C9H12(272) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3921; RMG #3921
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H13(260)<=>CCCC(C)CR(32)+C9H12(272) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3922; RMG #3922
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C9H13(260)<=>CC(L)CC(C)L(35)+C9H12(272) 1.225850e+27 -4.376 4.616
-
-! Reaction index: Chemkin #3923; RMG #3923
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H15(256)<=>C8H17L(49)+C11H14(271) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #3924; RMG #3924
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H13(260)<=>C8H17L(49)+C9H12(272) 1.225850e+27 -4.376 4.274
-
-! Reaction index: Chemkin #3925; RMG #3925
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H13(260)<=>C6H11R(56)+C9H12(272) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #3926; RMG #3926
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H13(260)<=>C6H11R(56)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3927; RMG #3927
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H13(260)<=>C5H9L(57)+C9H12(272) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #3928; RMG #3928
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H13(260)<=>C5H9L(57)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3929; RMG #3929
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H13(260)<=>C3H5R(58)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3930; RMG #3930
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C9H13(260)<=>C3H5L(59)+C9H12(272) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3931; RMG #3931
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C9H13(260)<=>C4H7R(60)+C9H12(272) 2.451710e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3932; RMG #3932
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H13(260)<=>C4H7R(60)+C9H12(272) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3933; RMG #3933
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C9H13(260)<=>C8H15L(61)+C9H12(272) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #3934; RMG #3934
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H13(260)<=>C7H13R(62)+C9H12(272) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #3935; RMG #3935
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H13(260)<=>C6H11L(63)+C9H12(272) 1.225850e+27 -4.376 7.050
-
-! Reaction index: Chemkin #3936; RMG #3936
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C9H13(260)<=>C(75)+C9H12(272) 1.225850e+27 -4.376 3.228
-
-! Reaction index: Chemkin #3937; RMG #3937
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H13(260)<=>C4H7R(81)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3938; RMG #3938
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C9H13(260)<=>[H][H](83)+C9H12(272) 1.225850e+27 -4.376 3.356
-
-! Reaction index: Chemkin #3939; RMG #3939
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H13(260)<=>C5H9L(84)+C9H12(272) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #3940; RMG #3940
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C9H13(260)<=>C3H5L(86)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3941; RMG #3941
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C9H13(260)<=>CC(C)CC(C)C(87)+C9H12(272) 1.225850e+27 -4.376 3.834
-
-! Reaction index: Chemkin #3942; RMG #3942
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C9H13(260)<=>CCC(95)+C9H12(272) 1.225850e+27 -4.376 4.256
-
-! Reaction index: Chemkin #3943; RMG #3943
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C9H13(260)<=>CCC(95)+C9H12(272) 1.225850e+27 -4.376 3.758
-
-! Reaction index: Chemkin #3944; RMG #3944
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H13(260)<=>C6H11R(98)+C9H12(272) 1.225850e+27 -4.376 7.038
-
-! Reaction index: Chemkin #3945; RMG #3945
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H13(260)<=>C6H11L(107)+C9H12(272) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #3946; RMG #3946
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H13(260)<=>C6H11L(107)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3947; RMG #3947
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C9H13(260)<=>C6H10(110)+C9H12(272) 1.225850e+27 -4.376 8.296
-
-! Reaction index: Chemkin #3948; RMG #3948
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C9H13(260)<=>C6H10(116)+C9H12(272) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3949; RMG #3949
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H13(260)<=>C6H10(116)+C9H12(272) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3950; RMG #3950
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H13(260)<=>C6H8(118)+C9H12(272) 2.451710e+27 -4.376 7.020
-
-! Reaction index: Chemkin #3951; RMG #3951
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(260)<=>C6H8(118)+C9H12(272) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #3952; RMG #3952
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H13(260)<=>C7H13R(120)+C9H12(272) 1.225850e+27 -4.376 7.361
-
-! Reaction index: Chemkin #3953; RMG #3953
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H13(260)<=>C7H13R(120)+C9H12(272) 1.225850e+27 -4.376 6.263
-
-! Reaction index: Chemkin #3954; RMG #3954
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H13(260)<=>C6H8(125)+C9H12(272) 2.451710e+27 -4.376 7.102
-
-! Reaction index: Chemkin #3955; RMG #3955
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C9H13(260)<=>C4H8(157)+C9H12(272) 2.451710e+27 -4.376 5.972
-
-! Reaction index: Chemkin #3956; RMG #3956
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C9H13(260)<=>C5H8(173)+C9H12(272) 2.451710e+27 -4.376 8.206
-
-! Reaction index: Chemkin #3957; RMG #3957
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C10H13(202)<=>C9H12(272)+C10H14(179) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #3958; RMG #3958
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C9H13(260)<=>C5H8(180)+C9H12(272) 2.451710e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3959; RMG #3959
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C9H13(260)<=>C5H6(187)+C9H12(272) 6.129270e+27 -4.376 7.003
-
-! Reaction index: Chemkin #3960; RMG #3960
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C11H15(234)<=>C9H12(272)+C11H16(229) 1.225850e+27 -4.376 7.628
-
-! Reaction index: Chemkin #3961; RMG #3961
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(273); C6H9(114), C12H16(273);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H9(114)<=>C12H16(273) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #3962; RMG #3962
-! Library reaction: restart
-! Flux pairs: C5H7(178), C11H14(274); C6H7(239), C11H14(274);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C6H7(239)<=>C11H14(274) 1.000000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #3963; RMG #3963
-! Library reaction: restart
-! Flux pairs: C3H5(102), C9H12(275); C6H7(239), C9H12(275);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H7(239)<=>C9H12(275) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3964; RMG #3964
-! Library reaction: restart
-! Flux pairs: C5H7(178), C11H14(276); C6H7(239), C11H14(276);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C6H7(239)<=>C11H14(276) 1.000000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #3965; RMG #3965
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H14(277); C6H7(239), C12H14(277);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R
-C6H7(239)+C6H7(239)<=>C12H14(277) 1.815520e+13 -0.118 0.000
-
-! Reaction index: Chemkin #3966; RMG #3966
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C11H15(226); C11H14(278), C11H15(226);
-! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H14(278)<=>C11H15(226) 2.580000e+08 1.640 -0.720
-
-! Reaction index: Chemkin #3967; RMG #3967
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(278); C6H7(239), C11H14(278);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C5H7(174)+C6H7(239)<=>C11H14(278) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #3968; RMG #3968
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #3969; RMG #3969
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #3970; RMG #3970
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3971; RMG #3971
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3972; RMG #3972
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #3973; RMG #3973
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3974; RMG #3974
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3975; RMG #3975
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3976; RMG #3976
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H15(226)<=>RC10L(1)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3977; RMG #3977
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H15(226)<=>RC10(2)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3978; RMG #3978
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H15(226)<=>LC10(3)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3979; RMG #3979
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(226)<=>C3H5R(12)+C11H14(278) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #3980; RMG #3980
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H15(226)<=>CC(C)L(13)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3981; RMG #3981
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(226)<=>C6H11R(17)+C11H14(278) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #3982; RMG #3982
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H15(226)<=>C3H6(18)+C11H14(278) 2.451710e+27 -4.376 9.585
-
-! Reaction index: Chemkin #3983; RMG #3983
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H15(226)<=>CC(C)CR(20)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3984; RMG #3984
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H15(226)<=>CR(22)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3985; RMG #3985
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(226)<=>C5H9L(24)+C11H14(278) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #3986; RMG #3986
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H15(226)<=>CC(C)CC(C)L(25)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #3987; RMG #3987
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H15(226)<=>CCL(26)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3988; RMG #3988
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H15(226)<=>CCCR(27)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #3989; RMG #3989
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(226)<=>C6H11R(56)+C11H14(278) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #3990; RMG #3990
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(226)<=>C6H11R(56)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #3991; RMG #3991
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(226)<=>C5H9L(57)+C11H14(278) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #3992; RMG #3992
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(226)<=>C5H9L(57)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #3993; RMG #3993
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(226)<=>C3H5R(58)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #3994; RMG #3994
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H15(226)<=>C3H5L(59)+C11H14(278) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #3995; RMG #3995
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H15(226)<=>C4H7R(60)+C11H14(278) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #3996; RMG #3996
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(226)<=>C4H7R(60)+C11H14(278) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #3997; RMG #3997
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H15(226)<=>C8H15L(61)+C11H14(278) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #3998; RMG #3998
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(226)<=>C7H13R(62)+C11H14(278) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #3999; RMG #3999
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(226)<=>C6H11L(63)+C11H14(278) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #4000; RMG #4000
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H15(226)<=>C(75)+C11H14(278) 1.225850e+27 -4.376 5.492
-
-! Reaction index: Chemkin #4001; RMG #4001
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(226)<=>C4H7R(81)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4002; RMG #4002
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H15(226)<=>[H][H](83)+C11H14(278) 1.225850e+27 -4.376 5.669
-
-! Reaction index: Chemkin #4003; RMG #4003
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(226)<=>C5H9L(84)+C11H14(278) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #4004; RMG #4004
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H15(226)<=>C3H5L(86)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4005; RMG #4005
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H15(226)<=>CCC(95)+C11H14(278) 1.225850e+27 -4.376 6.898
-
-! Reaction index: Chemkin #4006; RMG #4006
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H15(226)<=>CCC(95)+C11H14(278) 1.225850e+27 -4.376 6.222
-
-! Reaction index: Chemkin #4007; RMG #4007
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(226)<=>C6H11R(98)+C11H14(278) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #4008; RMG #4008
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(226)<=>C6H11L(107)+C11H14(278) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4009; RMG #4009
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(226)<=>C6H11L(107)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4010; RMG #4010
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H15(226)<=>C6H10(110)+C11H14(278) 1.225850e+27 -4.376 12.156
-
-! Reaction index: Chemkin #4011; RMG #4011
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H15(226)<=>C6H10(116)+C11H14(278) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4012; RMG #4012
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H15(226)<=>C6H10(116)+C11H14(278) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4013; RMG #4013
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(226)<=>C6H8(118)+C11H14(278) 2.451710e+27 -4.376 10.529
-
-! Reaction index: Chemkin #4014; RMG #4014
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(226)<=>C6H8(118)+C11H14(278) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4015; RMG #4015
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(226)<=>C7H13R(120)+C11H14(278) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4016; RMG #4016
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(226)<=>C7H13R(120)+C11H14(278) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4017; RMG #4017
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(226)<=>C6H8(125)+C11H14(278) 2.451710e+27 -4.376 10.634
-
-! Reaction index: Chemkin #4018; RMG #4018
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H15(226)<=>C4H8(157)+C11H14(278) 2.451710e+27 -4.376 9.173
-
-! Reaction index: Chemkin #4019; RMG #4019
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H15(226)<=>C5H8(173)+C11H14(278) 2.451710e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4020; RMG #4020
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H15(226)<=>C5H8(180)+C11H14(278) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4021; RMG #4021
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H15(226)<=>C5H6(187)+C11H14(278) 6.129270e+27 -4.376 10.507
-
-! Reaction index: Chemkin #4022; RMG #4022
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(279); C6H7(239), C11H14(279);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C5H7(174)+C6H7(239)<=>C11H14(279) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4023; RMG #4023
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(280); C6H9(114), C12H16(280);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H9(114)<=>C12H16(280) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #4024; RMG #4024
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H15(226)<=>CCCC(C)L(16)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4025; RMG #4025
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H15(226)<=>CC(C)CC(C)CR(23)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4026; RMG #4026
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H15(226)<=>CCCC(C)CR(32)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4027; RMG #4027
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H15(226)<=>CC(L)CC(C)L(35)+C11H14(278) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #4028; RMG #4028
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H15(226)<=>C8H17L(49)+C11H14(278) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4029; RMG #4029
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H15(226)<=>CC(C)CC(C)C(87)+C11H14(278) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4030; RMG #4030
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C11H15(256)<=>C10H14(179)+C11H14(271) 1.225850e+27 -4.376 10.132
-
-! Reaction index: Chemkin #4031; RMG #4031
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H16(229); C11H15(234), C11H14(271);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C11H15(256)<=>C11H14(271)+C11H16(229) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #4032; RMG #4032
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C13H20R(281); C7H13R(62), C13H20R(281);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H7(239)+C7H13R(62)<=>C13H20R(281) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #4033; RMG #4033
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H12L(282); C6H7(239), C10H12L(282);
-! From training reaction 278 used for Cds-HH_Cds-CdH;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H7(239)<=>C10H12L(282) 4.330000e+03 2.410 8.570
-
-! Reaction index: Chemkin #4034; RMG #4034
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(283); C6H8(118), C12H15(283);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(118)<=>C12H15(283) 2.880000e+01 2.740 3.300
-
-! Reaction index: Chemkin #4035; RMG #4035
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #4036; RMG #4036
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #4037; RMG #4037
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4038; RMG #4038
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4039; RMG #4039
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #4040; RMG #4040
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4041; RMG #4041
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4042; RMG #4042
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4043; RMG #4043
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C12H15(283)<=>RC10L(1)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4044; RMG #4044
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C12H15(283)<=>RC10(2)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4045; RMG #4045
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C12H15(283)<=>LC10(3)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4046; RMG #4046
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H15(283)<=>C3H5R(12)+C12H14(244) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #4047; RMG #4047
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C12H15(283)<=>CC(C)L(13)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4048; RMG #4048
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H15(283)<=>CCCC(C)L(16)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4049; RMG #4049
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H15(283)<=>C6H11R(17)+C12H14(244) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #4050; RMG #4050
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C12H15(283)<=>C3H6(18)+C12H14(244) 2.451710e+27 -4.376 9.585
-
-! Reaction index: Chemkin #4051; RMG #4051
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C12H15(283)<=>CC(C)CR(20)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4052; RMG #4052
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C12H15(283)<=>CR(22)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4053; RMG #4053
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C12H15(283)<=>CC(C)CC(C)CR(23)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4054; RMG #4054
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H15(283)<=>C5H9L(24)+C12H14(244) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #4055; RMG #4055
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C12H15(283)<=>CC(C)CC(C)L(25)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4056; RMG #4056
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H15(283)<=>CCL(26)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4057; RMG #4057
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H15(283)<=>CCCR(27)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4058; RMG #4058
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H15(283)<=>CCCC(C)CR(32)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4059; RMG #4059
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C12H15(283)<=>CC(L)CC(C)L(35)+C12H14(244) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #4060; RMG #4060
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H15(283)<=>C8H17L(49)+C12H14(244) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #4061; RMG #4061
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(283)<=>C6H11R(56)+C12H14(244) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4062; RMG #4062
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H15(283)<=>C6H11R(56)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4063; RMG #4063
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(283)<=>C5H9L(57)+C12H14(244) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4064; RMG #4064
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H15(283)<=>C5H9L(57)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4065; RMG #4065
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H15(283)<=>C3H5R(58)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4066; RMG #4066
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C12H15(283)<=>C3H5L(59)+C12H14(244) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4067; RMG #4067
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C12H15(283)<=>C4H7R(60)+C12H14(244) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4068; RMG #4068
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H15(283)<=>C4H7R(60)+C12H14(244) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #4069; RMG #4069
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C12H15(283)<=>C8H15L(61)+C12H14(244) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4070; RMG #4070
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H15(283)<=>C7H13R(62)+C12H14(244) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #4071; RMG #4071
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H15(283)<=>C6H11L(63)+C12H14(244) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #4072; RMG #4072
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C12H15(283)<=>C(75)+C12H14(244) 1.225850e+27 -4.376 5.492
-
-! Reaction index: Chemkin #4073; RMG #4073
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H15(283)<=>C4H7R(81)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4074; RMG #4074
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C12H15(283)<=>[H][H](83)+C12H14(244) 1.225850e+27 -4.376 5.669
-
-! Reaction index: Chemkin #4075; RMG #4075
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(283)<=>C5H9L(84)+C12H14(244) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #4076; RMG #4076
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C12H15(283)<=>C3H5L(86)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4077; RMG #4077
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C12H15(283)<=>CC(C)CC(C)C(87)+C12H14(244) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #4078; RMG #4078
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C12H15(283)<=>CCC(95)+C12H14(244) 1.225850e+27 -4.376 6.898
-
-! Reaction index: Chemkin #4079; RMG #4079
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C12H15(283)<=>CCC(95)+C12H14(244) 1.225850e+27 -4.376 6.222
-
-! Reaction index: Chemkin #4080; RMG #4080
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(283)<=>C6H11R(98)+C12H14(244) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #4081; RMG #4081
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H15(283)<=>C6H11L(107)+C12H14(244) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4082; RMG #4082
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H15(283)<=>C6H11L(107)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4083; RMG #4083
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C12H15(283)<=>C6H10(110)+C12H14(244) 1.225850e+27 -4.376 12.156
-
-! Reaction index: Chemkin #4084; RMG #4084
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C12H15(283)<=>C6H10(116)+C12H14(244) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4085; RMG #4085
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H15(283)<=>C6H10(116)+C12H14(244) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4086; RMG #4086
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H15(283)<=>C6H8(118)+C12H14(244) 2.451710e+27 -4.376 10.529
-
-! Reaction index: Chemkin #4087; RMG #4087
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(283)<=>C6H8(118)+C12H14(244) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4088; RMG #4088
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H15(283)<=>C7H13R(120)+C12H14(244) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #4089; RMG #4089
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H15(283)<=>C7H13R(120)+C12H14(244) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #4090; RMG #4090
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H15(283)<=>C6H8(125)+C12H14(244) 2.451710e+27 -4.376 10.634
-
-! Reaction index: Chemkin #4091; RMG #4091
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C12H15(283)<=>C4H8(157)+C12H14(244) 2.451710e+27 -4.376 9.173
-
-! Reaction index: Chemkin #4092; RMG #4092
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C12H15(283)<=>C5H8(173)+C12H14(244) 2.451710e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4093; RMG #4093
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C12H15(283)<=>C5H8(180)+C12H14(244) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4094; RMG #4094
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C12H15(283)<=>C5H6(187)+C12H14(244) 6.129270e+27 -4.376 10.507
-
-! Reaction index: Chemkin #4095; RMG #4095
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C12H15(283); C12H14(244), C12H15(283);
-! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C12H14(244)<=>C12H15(283) 2.580000e+08 1.640 -0.720
-
-! Reaction index: Chemkin #4096; RMG #4096
-! Library reaction: restart
-! Flux pairs: C5H5(189), C11H12(284); C6H7(239), C11H12(284);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C6H7(239)<=>C11H12(284) 2.500000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #4097; RMG #4097
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H10R(90); C6H9R(285), C6H10R(90);
-! From training reaction 2558 used for Cds-CsH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H9R(285)<=>C6H10R(90) 1.520000e+08 1.640 0.140
-
-! Reaction index: Chemkin #4098; RMG #4098
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H10R(90)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4099; RMG #4099
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H10R(90)<=>C5H9L(84)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4100; RMG #4100
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H10R(90)<=>C3H5R(12)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4101; RMG #4101
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H10R(90)<=>C3H5R(58)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4102; RMG #4102
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H10R(90)<=>C4H7R(60)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4103; RMG #4103
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H10R(90)<=>C4H7R(81)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4104; RMG #4104
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H10R(90)<=>C5H9L(24)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4105; RMG #4105
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H10R(90)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4106; RMG #4106
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C6H10R(90)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4107; RMG #4107
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C6H10R(90)<=>C6H9R(285)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4108; RMG #4108
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C6H10R(90)<=>C3H6(18)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4109; RMG #4109
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11L(63); C6H10L(103), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C6H10R(90)<=>C6H9R(285)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4110; RMG #4110
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11L(107); C6H10L(103), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C6H10R(90)<=>C6H9R(285)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4111; RMG #4111
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H12R(108)<=>C6H9R(285)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4112; RMG #4112
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H12R(108)<=>C6H9R(285)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4113; RMG #4113
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H10(110); C6H9(113), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C6H10R(90)<=>C6H9R(285)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4114; RMG #4114
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H10(116); C6H9(114), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10R(90)<=>C6H9R(285)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4115; RMG #4115
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C6H10R(90)<=>C3H5L(59)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4116; RMG #4116
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C6H10R(90)<=>C4H8(157)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4117; RMG #4117
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H10R(90)<=>C5H8(173)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4118; RMG #4118
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10R(90)<=>C5H8(180)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4119; RMG #4119
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(90)<=>C6H8(118)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4120; RMG #4120
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(65)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4121; RMG #4121
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(69)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4122; RMG #4122
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(66)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4123; RMG #4123
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(68)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4124; RMG #4124
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(72)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4125; RMG #4125
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(73)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4126; RMG #4126
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(71)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4127; RMG #4127
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(67)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4128; RMG #4128
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H17LR(70)<=>C6H9R(285)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4129; RMG #4129
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H20R(64)<=>C6H9R(285)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4130; RMG #4130
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H20L(76)<=>C6H9R(285)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4131; RMG #4131
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H10R(90)<=>CC(C)L(13)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4132; RMG #4132
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>CCCC(C)L(16)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4133; RMG #4133
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(17); C6H10R(171), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C6H10R(90)<=>C6H9R(285)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4134; RMG #4134
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H10R(90)<=>CC(C)CR(20)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4135; RMG #4135
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C6H10R(90)<=>CR(22)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4136; RMG #4136
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H14R(9)<=>C6H9R(285)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4137; RMG #4137
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C6H12L(11)<=>C6H9R(285)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4138; RMG #4138
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C6H10R(90)<=>CCL(26)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4139; RMG #4139
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10R(90)<=>CCCR(27)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4140; RMG #4140
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H9R(285)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4141; RMG #4141
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C6H10R(90)<=>CC(L)CC(C)L(35)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4142; RMG #4142
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C8H16L(15)<=>C6H9R(285)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4143; RMG #4143
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(171), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C6H10R(90)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4144; RMG #4144
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C6H10R(90)<=>C4H7R(60)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4145; RMG #4145
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C8H14L(112)<=>C6H9R(285)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4146; RMG #4146
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H10R(90)<=>C(75)+C6H9R(285) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4147; RMG #4147
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C6H10R(90)<=>C(75)+C6H9R(285) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4148; RMG #4148
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H10R(90)<=>[H][H](83)+C6H9R(285) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #4149; RMG #4149
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C6H10R(90)<=>C3H5L(86)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4150; RMG #4150
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H15(85)<=>C6H9R(285)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4151; RMG #4151
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C6H10R(90)<=>CCC(95)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4152; RMG #4152
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10R(90)<=>CCC(95)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4153; RMG #4153
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C6H10L(169)<=>C6H9R(285)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4154; RMG #4154
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H10(116); C6H9(160), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10R(90)<=>C6H9R(285)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4155; RMG #4155
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H10R(90)<=>C6H8(118)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4156; RMG #4156
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H12R(199)<=>C6H9R(285)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4157; RMG #4157
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H10R(90)<=>C6H8(125)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4158; RMG #4158
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H13(202)<=>C6H9R(285)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4159; RMG #4159
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C6H10R(90)<=>C5H6(187)+C6H9R(285) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #4160; RMG #4160
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C11H15(234)<=>C6H9R(285)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4161; RMG #4161
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), C7H12R(286); C6H9R(285), C7H12R(286);
-! From training reaction 94 used for Cds-CsH_Cds-CdCs;CsJ-HHH
-! Exact match found for rate rule [Cds-CsH_Cds-CdCs;CsJ-HHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-CH3(74)+C6H9R(285)<=>C7H12R(286) 1.079950e+05 2.652 -2.017
-
-! Reaction index: Chemkin #4162; RMG #4162
-! Library reaction: restart
-! Flux pairs: H(82), C6H9R(285); C6H8R(287), C6H9R(285);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C6H8R(287)<=>C6H9R(285) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #4163; RMG #4163
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H9R(285)<=>CC(C)CR(20)+C6H8R(287) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4164; RMG #4164
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H9R(285)<=>CCCR(27)+C6H8R(287) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4165; RMG #4165
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C[CH]CC(C)CR(5)<=>C6H8R(287)+CCCC(C)CR(32) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4166; RMG #4166
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H9R(285)<=>CC(C)L(13)+C6H8R(287) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4167; RMG #4167
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C7H14R(9)<=>C6H8R(287)+CC(C)CC(C)CR(23) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4168; RMG #4168
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H9R(285)<=>CCCC(C)L(16)+C6H8R(287) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4169; RMG #4169
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C6H9R(285)<=>CCL(26)+C6H8R(287) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4170; RMG #4170
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H12L(11)<=>C6H8R(287)+CC(C)CC(C)L(25) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4171; RMG #4171
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H8R(287)<=>C3H5R(12)+C6H9R(285) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #4172; RMG #4172
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C6H9R(285)<=>CR(22)+C6H8R(287) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4173; RMG #4173
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(285)+C6H11R(17) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #4174; RMG #4174
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H8R(287)<=>C3H6(18)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4175; RMG #4175
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H8R(287)<=>C3H6(18)+C6H9R(285) 2.451710e+27 -4.376 8.092
-
-! Reaction index: Chemkin #4176; RMG #4176
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H8R(287)<=>C2H3L(19)+C6H9R(285) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #4177; RMG #4177
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C8H16L(15)<=>C6H9R(285)+C8H15L(21) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #4178; RMG #4178
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(24)+C6H9R(285) 1.225850e+27 -4.376 8.002
-
-! Reaction index: Chemkin #4179; RMG #4179
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(285)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4180; RMG #4180
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(57)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4181; RMG #4181
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H8R(287)<=>C3H5R(58)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4182; RMG #4182
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H8R(287)<=>C3H5L(59)+C6H9R(285) 7.830000e+11 0.000 0.211
-
-! Reaction index: Chemkin #4183; RMG #4183
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H8R(287)<=>C4H7R(60)+C6H9R(285) 7.830000e+11 0.000 0.211
-
-! Reaction index: Chemkin #4184; RMG #4184
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C8H16L(15)<=>C6H9R(285)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4185; RMG #4185
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H8R(287)+C7H14R(9)<=>C6H9R(285)+C7H13R(62) 7.830000e+11 0.000 0.172
-
-! Reaction index: Chemkin #4186; RMG #4186
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H8R(287)+C6H12L(11)<=>C6H9R(285)+C6H11L(63) 7.830000e+11 0.000 0.172
-
-! Reaction index: Chemkin #4187; RMG #4187
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(66)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4188; RMG #4188
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(67)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4189; RMG #4189
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(68)<=>C6H8R(287)+RC10L(1) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4190; RMG #4190
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(70)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4191; RMG #4191
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(71)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4192; RMG #4192
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C9H17LR(73)<=>C6H8R(287)+RC10L(1) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4193; RMG #4193
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C(75), CH3(74);
-! From training reaction 829 used for C_methane;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C_methane;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H8R(287)<=>CH3(74)+C6H9R(285) 5.600000e-02 4.340 25.080
-
-! Reaction index: Chemkin #4194; RMG #4194
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C5H9L(57), C5H8L(77);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H8R(287)<=>C5H8L(77)+C6H9R(285) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4195; RMG #4195
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(77)+C6H9R(285)<=>C5H9L(84)+C6H8R(287) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4196; RMG #4196
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H9R(285)<=>C3H5R(12)+C6H8R(287) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4197; RMG #4197
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C6H9R(285)<=>C3H5R(58)+C6H8R(287) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4198; RMG #4198
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H9R(285)<=>C4H7R(60)+C6H8R(287) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4199; RMG #4199
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C6H9R(285)<=>C4H7R(81)+C6H8R(287) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4200; RMG #4200
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H9R(285)<=>C5H9L(24)+C6H8R(287) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4201; RMG #4201
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8L(89)+C6H9R(285)<=>C5H9L(57)+C6H8R(287) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4202; RMG #4202
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11R(56)<=>C6H9R(285)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4203; RMG #4203
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H10R(90)<=>C6H8R(287)+C6H11R(98) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4204; RMG #4204
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H8R(287)<=>C[CH]C(94)+C6H9R(285) 2.920000e-02 4.340 18.555
-
-! Reaction index: Chemkin #4205; RMG #4205
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H8R(287)<=>C3H5(102)+C6H9R(285) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4206; RMG #4206
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H10L(103)<=>C6H8R(287)+C6H11L(63) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4207; RMG #4207
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H10L(103)<=>C6H8R(287)+C6H11L(107) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4208; RMG #4208
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C7H12R(108)<=>C6H8R(287)+C7H13R(62) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4209; RMG #4209
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C7H12R(108)<=>C6H8R(287)+C7H13R(120) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4210; RMG #4210
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C8H15L(61)<=>C6H9R(285)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4211; RMG #4211
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C6H8R(287), C6H9R(285);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8R(287)+C6H10(110)<=>C6H9R(285)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4212; RMG #4212
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H9(114)<=>C6H8R(287)+C6H10(116) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4213; RMG #4213
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H9(114)<=>C6H8(118)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4214; RMG #4214
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H9(114)<=>C6H8(125)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4215; RMG #4215
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H9R(285); C6H8R(287), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H8R(287)+C6H9(160)<=>C6H8(125)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4216; RMG #4216
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C6H9R(285)<=>C3H5L(59)+C6H8R(287) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4217; RMG #4217
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7(156)+C6H9R(285)<=>C4H8(157)+C6H8R(287) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4218; RMG #4218
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H10(116); C6H9(160), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C6H9(160)+C6H9R(285)<=>C6H8R(287)+C6H10(116) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4219; RMG #4219
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11L(107)<=>C6H9R(285)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4220; RMG #4220
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H10R(171)<=>C6H8R(287)+C6H11R(17) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4221; RMG #4221
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C6H10R(171)<=>C6H8R(287)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4222; RMG #4222
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C6H8R(287)<=>C5H7(174)+C6H9R(285) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4223; RMG #4223
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C5H7(178), C5H8(180);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C5H7(178)+C6H9R(285)<=>C5H8(180)+C6H8R(287) 5.382000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4224; RMG #4224
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C10H15(183)<=>C6H9R(285)+C10H14(184) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #4225; RMG #4225
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H8R(287)<=>C5H6(187)+C6H9R(285) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4226; RMG #4226
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H8R(287)<=>C5H5(189)+C6H9R(285) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #4227; RMG #4227
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C8H13(191)<=>C6H9R(285)+C8H12(194) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #4228; RMG #4228
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C7H13R(120)<=>C6H9R(285)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4229; RMG #4229
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H13(202)<=>C6H9R(285)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4230; RMG #4230
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C6H9R(285)<=>C3H5L(86)+C6H8R(287) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4231; RMG #4231
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C6H9R(285)<=>C4H7R(60)+C6H8R(287) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4232; RMG #4232
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #4233; RMG #4233
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H8R(287)<=>C6H6(252)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4234; RMG #4234
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H8R(287)<=>C6H6(252)+C6H9R(285) 1.225850e+27 -4.376 12.126
-
-! Reaction index: Chemkin #4235; RMG #4235
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H8R(287)<=>C5H7L(262)+C6H9R(285) 7.830000e+11 0.000 1.042
-
-! Reaction index: Chemkin #4236; RMG #4236
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H9R(285); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H8R(287)<=>C5H7L(262)+C6H9R(285) 1.225850e+27 -4.376 10.947
-
-! Reaction index: Chemkin #4237; RMG #4237
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(256)<=>C6H9R(285)+C11H14(271) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #4238; RMG #4238
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H13(260)<=>C6H9R(285)+C9H12(272) 1.225850e+27 -4.376 8.206
-
-! Reaction index: Chemkin #4239; RMG #4239
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H10R(90)<=>C6H9R(285)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4240; RMG #4240
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H8R(287), C6H9R(285);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #4241; RMG #4241
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H8R(287), C6H9R(285);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #4242; RMG #4242
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H8R(287), C6H9R(285);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(285)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #4243; RMG #4243
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C7H15(85)<=>C6H8R(287)+CC(C)CC(C)C(87) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4244; RMG #4244
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8(118), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H8R(287)<=>C6H7(123)+C6H9R(285) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #4245; RMG #4245
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8(125), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H8R(287)<=>C6H7(123)+C6H9R(285) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #4246; RMG #4246
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H9R(285)<=>CCC(95)+C6H8R(287) 1.344360e-04 4.649 4.528
-
-! Reaction index: Chemkin #4247; RMG #4247
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H8R(287)<=>C5H9L2(203)+C6H9R(285) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #4248; RMG #4248
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H15(283)<=>C6H9R(285)+C12H14(244) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4249; RMG #4249
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(226)<=>C6H9R(285)+C11H14(278) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #4250; RMG #4250
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C10H20R(64)<=>C6H8R(287)+RC10(2) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4251; RMG #4251
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C10H20L(76)<=>C6H8R(287)+LC10(3) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4252; RMG #4252
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C8H16L(15)<=>C6H8R(287)+C8H17L(49) 9.781930e-04 4.260 6.640
-
-! Reaction index: Chemkin #4253; RMG #4253
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); [H][H](83), H(82);
-! From training reaction 789 used for H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 101.3 to 102.4 kJ/mol to match endothermicity of reaction.
-! Ea raised from 102.4 to 102.4 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H8R(287)<=>H(82)+C6H9R(285) 6.060000e-02 4.340 24.463
-
-! Reaction index: Chemkin #4254; RMG #4254
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C10H13(202)<=>C6H8R(287)+C10H14(179) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4255; RMG #4255
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C11H15(234)<=>C6H8R(287)+C11H16(229) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4256; RMG #4256
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C6H8R(288);
-! Estimated from node Backbone2_Sp-3R!H=1R!H_N-4R!H->S
-C6H8R(287)<=>C6H8R(288) 1.572550e+29 -4.713 39.000
-
-! Reaction index: Chemkin #4257; RMG #4257
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H13LR(289); C6H8R(287), C10H13LR(289);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H8R(287)<=>C10H13LR(289) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #4258; RMG #4258
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H9(114); C6H8(290), C6H9(114);
-! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H8(290)<=>C6H9(114) 2.580000e+08 1.640 -0.720
-
-! Reaction index: Chemkin #4259; RMG #4259
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H9(114)<=>CCCR(27)+C6H8(290) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4260; RMG #4260
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H9(114)<=>CCL(26)+C6H8(290) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4261; RMG #4261
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C6H9(114)<=>CR(22)+C6H8(290) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4262; RMG #4262
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C6H9(114)<=>C(75)+C6H8(290) 1.225850e+27 -4.376 5.442
-
-! Reaction index: Chemkin #4263; RMG #4263
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H9(114)<=>C5H9L(57)+C6H8(290) 1.225850e+27 -4.376 10.889
-
-! Reaction index: Chemkin #4264; RMG #4264
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H9(114)<=>C5H9L(84)+C6H8(290) 1.225850e+27 -4.376 10.478
-
-! Reaction index: Chemkin #4265; RMG #4265
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H9(114)<=>C3H5R(12)+C6H8(290) 1.225850e+27 -4.376 10.329
-
-! Reaction index: Chemkin #4266; RMG #4266
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H9(114)<=>C3H5R(58)+C6H8(290) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4267; RMG #4267
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H9(114)<=>C4H7R(60)+C6H8(290) 1.225850e+27 -4.376 10.329
-
-! Reaction index: Chemkin #4268; RMG #4268
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H9(114)<=>C4H7R(81)+C6H8(290) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4269; RMG #4269
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H9(114)<=>C5H9L(24)+C6H8(290) 1.225850e+27 -4.376 10.493
-
-! Reaction index: Chemkin #4270; RMG #4270
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H9(114)<=>C5H9L(57)+C6H8(290) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4271; RMG #4271
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(56); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10R(90)<=>C6H8(290)+C6H11R(56) 1.225850e+27 -4.376 10.889
-
-! Reaction index: Chemkin #4272; RMG #4272
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10R(90)<=>C6H8(290)+C6H11R(98) 1.225850e+27 -4.376 10.478
-
-! Reaction index: Chemkin #4273; RMG #4273
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C6H9(114)<=>CCC(95)+C6H8(290) 1.225850e+27 -4.376 6.840
-
-! Reaction index: Chemkin #4274; RMG #4274
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C6H9(114)<=>C3H6(18)+C6H8(290) 2.451710e+27 -4.376 9.514
-
-! Reaction index: Chemkin #4275; RMG #4275
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10L(103)<=>C6H8(290)+C6H11L(63) 1.225850e+27 -4.376 10.493
-
-! Reaction index: Chemkin #4276; RMG #4276
-! Library reaction: restart
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10L(103)<=>C6H8(290)+C6H11L(107) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4277; RMG #4277
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H12R(108)<=>C6H8(290)+C7H13R(62) 1.225850e+27 -4.376 10.493
-
-! Reaction index: Chemkin #4278; RMG #4278
-! Library reaction: restart
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H12R(108)<=>C6H8(290)+C7H13R(120) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4279; RMG #4279
-! Library reaction: restart
-! Flux pairs: C6H9(113), C6H10(110); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H9(113)<=>C6H8(290)+C6H10(110) 1.225850e+27 -4.376 12.074
-
-! Reaction index: Chemkin #4280; RMG #4280
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H9(114)<=>C6H8(290)+C6H10(116) 1.225850e+27 -4.376 11.229
-
-! Reaction index: Chemkin #4281; RMG #4281
-! Library reaction: restart
-! Flux pairs: C8H14L(112), C8H15L(61); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C8H14L(112)<=>C6H8(290)+C8H15L(61) 1.225850e+27 -4.376 10.889
-
-! Reaction index: Chemkin #4282; RMG #4282
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C6H9(114)<=>C4H8(157)+C6H8(290) 2.451710e+27 -4.376 9.105
-
-! Reaction index: Chemkin #4283; RMG #4283
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H10(116); C6H9(160), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C6H9(114)<=>C6H8(290)+C6H10(116) 2.451710e+27 -4.376 11.229
-
-! Reaction index: Chemkin #4284; RMG #4284
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C6H9(114)<=>C5H8(173)+C6H8(290) 2.451710e+27 -4.376 11.960
-
-! Reaction index: Chemkin #4285; RMG #4285
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C6H9(114)<=>C5H8(180)+C6H8(290) 2.451710e+27 -4.376 11.229
-
-! Reaction index: Chemkin #4286; RMG #4286
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H7(239), C6H8(290);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(65) 6.950000e-03 4.340 19.640
-
-! Reaction index: Chemkin #4287; RMG #4287
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H7(239), C6H8(290);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(69) 6.950000e-03 4.340 19.640
-
-! Reaction index: Chemkin #4288; RMG #4288
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4289; RMG #4289
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4290; RMG #4290
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H7(239), C6H8(290);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+RC10L(1)<=>C6H8(290)+C9H17LR(72) 6.950000e-03 4.340 19.640
-
-! Reaction index: Chemkin #4291; RMG #4291
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4292; RMG #4292
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4293; RMG #4293
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4294; RMG #4294
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4295; RMG #4295
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C10H20R(64)<=>C6H7(239)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4296; RMG #4296
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C10H20L(76)<=>C6H7(239)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4297; RMG #4297
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(290) 1.225850e+27 -4.376 9.038
-
-! Reaction index: Chemkin #4298; RMG #4298
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(290)<=>C3H5R(12)+C6H7(239) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4299; RMG #4299
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H8(290)<=>CC(C)L(13)+C6H7(239) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4300; RMG #4300
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H8(290)<=>CCCC(C)L(16)+C6H7(239) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4301; RMG #4301
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4302; RMG #4302
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H7(239)<=>C3H5(102)+C6H8(290) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4303; RMG #4303
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H8(290)<=>CC(C)CR(20)+C6H7(239) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4304; RMG #4304
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H8(290)<=>CR(22)+C6H7(239) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4305; RMG #4305
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4306; RMG #4306
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(290)<=>C5H9L(24)+C6H7(239) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4307; RMG #4307
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4308; RMG #4308
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H8(290)<=>CCL(26)+C6H7(239) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4309; RMG #4309
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H8(290)<=>CCCR(27)+C6H7(239) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4310; RMG #4310
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4311; RMG #4311
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H7(239)<=>C5H9L2(203)+C6H8(290) 1.390000e-02 4.340 19.640
-
-! Reaction index: Chemkin #4312; RMG #4312
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4313; RMG #4313
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C6H11R(56)<=>C6H8(290)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4314; RMG #4314
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4315; RMG #4315
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H7(239)<=>C5H8L(77)+C6H8(290) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4316; RMG #4316
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(290)<=>C5H9L(57)+C6H7(239) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4317; RMG #4317
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(290)<=>C3H5R(58)+C6H7(239) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4318; RMG #4318
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H8(290)<=>C3H5L(59)+C6H7(239) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #4319; RMG #4319
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H8(290)<=>C4H7R(60)+C6H7(239) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #4320; RMG #4320
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(290)<=>C4H7R(60)+C6H7(239) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4321; RMG #4321
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C8H15L(61)<=>C6H8(290)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4322; RMG #4322
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4323; RMG #4323
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4324; RMG #4324
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H7(239)<=>CH3(74)+C6H8(290) 4.240000e-02 4.340 28.220
-
-! Reaction index: Chemkin #4325; RMG #4325
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(290) 1.225850e+27 -4.376 11.938
-
-! Reaction index: Chemkin #4326; RMG #4326
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(290)<=>C4H7R(81)+C6H7(239) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4327; RMG #4327
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 114.4 to 116.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 116.1 to 116.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H7(239)<=>H(82)+C6H8(290) 4.580000e-02 4.340 27.757
-
-! Reaction index: Chemkin #4328; RMG #4328
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(290)<=>C5H9L(84)+C6H7(239) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4329; RMG #4329
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H8(290)<=>C3H5L(86)+C6H7(239) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4330; RMG #4330
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4331; RMG #4331
-! Library reaction: restart
-! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(90)<=>C6H8(290)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4332; RMG #4332
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H7(239)<=>C[CH]C(94)+C6H8(290) 1.476000e-02 4.340 21.695
-
-! Reaction index: Chemkin #4333; RMG #4333
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H8(290)<=>CCC(95)+C6H7(239) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4334; RMG #4334
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4335; RMG #4335
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C6H11L(107)<=>C6H8(290)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4336; RMG #4336
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4337; RMG #4337
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H9(113)<=>C6H7(239)+C6H10(110) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4338; RMG #4338
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(290)+C6H9(160)<=>C6H7(239)+C6H10(116) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4339; RMG #4339
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H9(114)<=>C6H7(239)+C6H10(116) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4340; RMG #4340
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H8(290); C6H7(239), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(239)+C6H8(118)<=>C6H7(123)+C6H8(290) 1.962000e-03 4.340 7.980
-
-! Reaction index: Chemkin #4341; RMG #4341
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H8(118); C6H7(239), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(239)+C6H8(290)<=>C6H7(239)+C6H8(118) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4342; RMG #4342
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C7H13R(120)<=>C6H8(290)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4343; RMG #4343
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4344; RMG #4344
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(125), C6H8(290); C6H7(239), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(239)+C6H8(125)<=>C6H7(123)+C6H8(290) 1.962000e-03 4.340 7.630
-
-! Reaction index: Chemkin #4345; RMG #4345
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H8(290)<=>C4H8(157)+C6H7(239) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #4346; RMG #4346
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C5H7(174), C5H8(173);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(174)+C6H8(290)<=>C5H8(173)+C6H7(239) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #4347; RMG #4347
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C5H7(178), C5H8(180);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C6H8(290)<=>C5H8(180)+C6H7(239) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4348; RMG #4348
-! Template reaction: H_Abstraction
-! Flux pairs: C6H7(239), C6H8(290); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H7(239)<=>C5H5(189)+C6H8(290) 1.962000e-03 4.340 8.052
-
-! Reaction index: Chemkin #4349; RMG #4349
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4350; RMG #4350
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(290) 5.258140e+13 -0.550 1.466
-
-! Reaction index: Chemkin #4351; RMG #4351
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.225850e+27 -4.376 11.960
-DUPLICATE
-
-! Reaction index: Chemkin #4352; RMG #4352
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4353; RMG #4353
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(290) 1.225850e+27 -4.376 13.005
-
-! Reaction index: Chemkin #4354; RMG #4354
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4355; RMG #4355
-! Library reaction: restart
-! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(239)+C6H9(160)<=>C6H8(290)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4356; RMG #4356
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(290) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4357; RMG #4357
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C10H13(202)<=>C6H7(239)+C10H14(179) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4358; RMG #4358
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C11H15(234)<=>C6H7(239)+C11H16(229) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4359; RMG #4359
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4360; RMG #4360
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(290) 1.225850e+27 -4.376 9.038
-
-! Reaction index: Chemkin #4361; RMG #4361
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(290) 1.225850e+27 -4.376 13.179
-
-! Reaction index: Chemkin #4362; RMG #4362
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(290) 2.451710e+27 -4.376 8.917
-
-! Reaction index: Chemkin #4363; RMG #4363
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4364; RMG #4364
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H9R(285); C6H8R(287), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C6H9(114)<=>C6H8(290)+C6H9R(285) 1.225850e+27 -4.376 11.960
-
-! Reaction index: Chemkin #4365; RMG #4365
-! Library reaction: restart
-! Flux pairs: H(82), C6H8(290); C6H7(239), C6H8(290);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C6H7(239)<=>C6H8(290) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #4366; RMG #4366
-! Library reaction: restart
-! Flux pairs: C9H17LR(65), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(65)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322
-
-! Reaction index: Chemkin #4367; RMG #4367
-! Library reaction: restart
-! Flux pairs: C9H17LR(69), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(69)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322
-
-! Reaction index: Chemkin #4368; RMG #4368
-! Library reaction: restart
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(66)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4369; RMG #4369
-! Library reaction: restart
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(68)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4370; RMG #4370
-! Library reaction: restart
-! Flux pairs: C9H17LR(72), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(72)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 7.322
-
-! Reaction index: Chemkin #4371; RMG #4371
-! Library reaction: restart
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(73)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4372; RMG #4372
-! Library reaction: restart
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(71)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4373; RMG #4373
-! Library reaction: restart
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(67)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4374; RMG #4374
-! Library reaction: restart
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H17LR(70)<=>C6H8(290)+RC10L(1) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4375; RMG #4375
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C10H20R(64)<=>C6H8(290)+RC10(2) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4376; RMG #4376
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C10H20L(76)<=>C6H8(290)+LC10(3) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4377; RMG #4377
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C6H9(114)<=>CC(C)L(13)+C6H8(290) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4378; RMG #4378
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H9(114)<=>CCCC(C)L(16)+C6H8(290) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4379; RMG #4379
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10R(171)<=>C6H8(290)+C6H11R(17) 1.225850e+27 -4.376 10.493
-
-! Reaction index: Chemkin #4380; RMG #4380
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(290)+C6H11R(17) 1.225850e+27 -4.376 8.821
-
-! Reaction index: Chemkin #4381; RMG #4381
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4382; RMG #4382
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C6H9(114)<=>CC(C)CR(20)+C6H8(290) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4383; RMG #4383
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H16L(15)<=>C6H8(290)+C8H15L(21) 1.225850e+27 -4.376 8.821
-
-! Reaction index: Chemkin #4384; RMG #4384
-! Library reaction: restart
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H14R(9)<=>C6H8(290)+CC(C)CC(C)CR(23) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4385; RMG #4385
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(290) 1.225850e+27 -4.376 8.821
-
-! Reaction index: Chemkin #4386; RMG #4386
-! Library reaction: restart
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H12L(11)<=>C6H8(290)+CC(C)CC(C)L(25) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4387; RMG #4387
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C[CH]CC(C)CR(5)<=>C6H8(290)+CCCC(C)CR(32) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4388; RMG #4388
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C6H9(114)<=>CC(L)CC(C)L(35)+C6H8(290) 1.225850e+27 -4.376 7.322
-
-! Reaction index: Chemkin #4389; RMG #4389
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C8H16L(15)<=>C6H8(290)+C8H17L(49) 1.225850e+27 -4.376 6.864
-
-! Reaction index: Chemkin #4390; RMG #4390
-! Library reaction: restart
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10R(171)<=>C6H8(290)+C6H11R(56) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4391; RMG #4391
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(290)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4392; RMG #4392
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4393; RMG #4393
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C6H9(114)<=>C3H5L(59)+C6H8(290) 2.451710e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4394; RMG #4394
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(290) 5.258140e+13 -0.550 0.407
-
-! Reaction index: Chemkin #4395; RMG #4395
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C6H9(114)<=>C4H7R(60)+C6H8(290) 2.451710e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4396; RMG #4396
-! Library reaction: restart
-! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(290) 5.258140e+13 -0.550 0.407
-
-! Reaction index: Chemkin #4397; RMG #4397
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C8H16L(15)<=>C6H8(290)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4398; RMG #4398
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C7H14R(9)<=>C6H8(290)+C7H13R(62) 5.258140e+13 -0.550 0.351
-
-! Reaction index: Chemkin #4399; RMG #4399
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C6H12L(11)<=>C6H8(290)+C6H11L(63) 5.258140e+13 -0.550 0.351
-
-! Reaction index: Chemkin #4400; RMG #4400
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C6H9(114)<=>[H][H](83)+C6H8(290) 1.225850e+27 -4.376 5.618
-
-! Reaction index: Chemkin #4401; RMG #4401
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C6H9(114)<=>C3H5L(86)+C6H8(290) 1.225850e+27 -4.376 9.481
-
-! Reaction index: Chemkin #4402; RMG #4402
-! Library reaction: restart
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H15(85)<=>C6H8(290)+CC(C)CC(C)C(87) 1.225850e+27 -4.376 6.271
-
-! Reaction index: Chemkin #4403; RMG #4403
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C6H9(114)<=>CCC(95)+C6H8(290) 1.225850e+27 -4.376 6.168
-
-! Reaction index: Chemkin #4404; RMG #4404
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(107); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10L(169)<=>C6H8(290)+C6H11L(107) 1.225850e+27 -4.376 10.889
-
-! Reaction index: Chemkin #4405; RMG #4405
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(123), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C6H9(114)<=>C6H8(290)+C6H8(118) 2.451710e+27 -4.376 10.454
-
-! Reaction index: Chemkin #4406; RMG #4406
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.225850e+27 -4.376 11.960
-DUPLICATE
-
-! Reaction index: Chemkin #4407; RMG #4407
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(118) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4408; RMG #4408
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(120); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H12R(199)<=>C6H8(290)+C7H13R(120) 1.225850e+27 -4.376 10.889
-
-! Reaction index: Chemkin #4409; RMG #4409
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(125); C6H7(123), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C6H9(114)<=>C6H8(290)+C6H8(125) 2.451710e+27 -4.376 10.559
-
-! Reaction index: Chemkin #4410; RMG #4410
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H14(179); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C10H13(202)<=>C6H8(290)+C10H14(179) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4411; RMG #4411
-! Library reaction: restart
-! Flux pairs: C6H9(114), C6H8(290); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C6H9(114)<=>C5H6(187)+C6H8(290) 6.129270e+27 -4.376 10.433
-
-! Reaction index: Chemkin #4412; RMG #4412
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H13(191)<=>C6H8(290)+C8H12(194) 1.225850e+27 -4.376 9.038
-
-! Reaction index: Chemkin #4413; RMG #4413
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H15(234)<=>C6H8(290)+C11H16(229) 1.225850e+27 -4.376 11.229
-
-! Reaction index: Chemkin #4414; RMG #4414
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(260)<=>C6H8(290)+C9H12(272) 1.225850e+27 -4.376 9.038
-
-! Reaction index: Chemkin #4415; RMG #4415
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H15(183)<=>C6H8(290)+C10H14(184) 1.225850e+27 -4.376 11.722
-
-! Reaction index: Chemkin #4416; RMG #4416
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H13(202)<=>C6H8(290)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4417; RMG #4417
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(283)<=>C6H8(290)+C12H14(244) 1.225850e+27 -4.376 13.090
-
-! Reaction index: Chemkin #4418; RMG #4418
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(256)<=>C6H8(290)+C11H14(271) 1.225850e+27 -4.376 11.722
-
-! Reaction index: Chemkin #4419; RMG #4419
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(226)<=>C6H8(290)+C11H14(278) 1.225850e+27 -4.376 13.090
-
-! Reaction index: Chemkin #4420; RMG #4420
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H4(196), C8H12R(291); C6H8R(287), C8H12R(291);
-! From training reaction 13 used for Cds-HH_Cds-HH;CsJ-CdCdH
-! Exact match found for rate rule [Cds-HH_Cds-HH;CsJ-CdCdH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C2H4(196)+C6H8R(287)<=>C8H12R(291) 2.971820e+02 2.951 4.541
-
-! Reaction index: Chemkin #4421; RMG #4421
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5L(91), C10H12L(292); C6H7(239), C10H12L(292);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H5L(91)+C6H7(239)<=>C10H12L(292) 1.190000e+04 2.410 10.290
-
-! Reaction index: Chemkin #4422; RMG #4422
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H12L(293); C6H7(239), C9H12L(293);
-! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H7(239)<=>C9H12L(293) 4.860000e+03 2.410 10.980
-
-! Reaction index: Chemkin #4423; RMG #4423
-! Library reaction: restart
-! Flux pairs: C12H18L(259), C12H18L(294);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C12H18L(259)<=>C12H18L(294) 1.260000e+11 0.160 5.938
-
-! Reaction index: Chemkin #4424; RMG #4424
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H15LR(295); C6H8R(287), C11H15LR(295);
-! From training reaction 295 used for Cds-HH_Cds-CdCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H8R(287)<=>C11H15LR(295) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #4425; RMG #4425
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(296); C6H8R(287), C12H15R(296);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(296) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4426; RMG #4426
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H14L(297); C6H7(239), C11H14L(297);
-! From training reaction 296 used for Cds-HH_Cds-CdCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H7(239)<=>C11H14L(297) 4.920000e+03 2.410 8.150
-
-! Reaction index: Chemkin #4427; RMG #4427
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H6(187), C11H13(298); C6H7(239), C11H13(298);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H6(187)+C6H7(239)<=>C11H13(298) 5.760000e+01 2.740 3.300
-
-! Reaction index: Chemkin #4428; RMG #4428
-! Library reaction: restart
-! Flux pairs: H(82), C11H14(276); C11H13(298), C11H14(276);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C11H13(298)<=>C11H14(276) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #4429; RMG #4429
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H13(298)<=>C3H5R(12)+C11H14(276) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4430; RMG #4430
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H13(298)<=>C6H11R(17)+C11H14(276) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4431; RMG #4431
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C11H13(298)<=>C3H6(18)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4432; RMG #4432
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C11H13(298)<=>C3H6(18)+C11H14(276) 2.451710e+27 -4.376 7.580
-
-! Reaction index: Chemkin #4433; RMG #4433
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H13(298)<=>C2H3L(19)+C11H14(276) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4434; RMG #4434
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H13(298)<=>C8H15L(21)+C11H14(276) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4435; RMG #4435
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H13(298)<=>C5H9L(24)+C11H14(276) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4436; RMG #4436
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C11H13(298)<=>C6H11R(56)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4437; RMG #4437
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C11H13(298)<=>C5H9L(57)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4438; RMG #4438
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C11H13(298)<=>C3H5R(58)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4439; RMG #4439
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C11H13(298)<=>C3H5L(59)+C11H14(276) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #4440; RMG #4440
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C11H13(298)<=>C4H7R(60)+C11H14(276) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #4441; RMG #4441
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C11H13(298)<=>C8H15L(61)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4442; RMG #4442
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C11H13(298)<=>C7H13R(62)+C11H14(276) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4443; RMG #4443
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C11H13(298)<=>C6H11L(63)+C11H14(276) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4444; RMG #4444
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H13(298)<=>C6H8(118)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4445; RMG #4445
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H13(298)<=>C6H8(125)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4446; RMG #4446
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C11H13(298)<=>C6H8(125)+C11H14(276) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4447; RMG #4447
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C11H13(298)<=>C5H6(187)+C11H14(276) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4448; RMG #4448
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H13(298)<=>C6H6(252)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4449; RMG #4449
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C11H13(298)<=>C6H6(252)+C11H14(276) 1.225850e+27 -4.376 11.468
-
-! Reaction index: Chemkin #4450; RMG #4450
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C11H13(298)<=>C5H7L(262)+C11H14(276) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #4451; RMG #4451
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H13(298)<=>C5H7L(262)+C11H14(276) 1.225850e+27 -4.376 10.329
-
-! Reaction index: Chemkin #4452; RMG #4452
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C11H13(298)<=>C8H12(194)+C11H14(276) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4453; RMG #4453
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(298), C11H14(276); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C11H13(298)<=>C6H7(239)+C11H14(276) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4454; RMG #4454
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(298), C11H14(276); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C11H13(298)<=>C6H7(239)+C11H14(276) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4455; RMG #4455
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C11H13(298)<=>C9H12(272)+C11H14(276) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4456; RMG #4456
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C11H13(298)<=>C6H9R(285)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4457; RMG #4457
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H13(298)<=>C6H8(290)+C11H14(276) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4458; RMG #4458
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H13LR(299); C6H8R(287), C9H13LR(299);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H8R(287)<=>C9H13LR(299) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #4459; RMG #4459
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(300); C6H8R(287), C12H15R(300);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(300) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4460; RMG #4460
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(301); C6H8R(287), C12H15R(301);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(301) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4461; RMG #4461
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(302); C6H8R(287), C12H15R(302);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(302) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4462; RMG #4462
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(303); C6H8R(287), C12H15R(303);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(303) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4463; RMG #4463
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(304); C6H8R(287), C12H15R(304);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(287)<=>C12H15R(304) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4464; RMG #4464
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C12H16R2(305); C6H8R(287), C12H16R2(305);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H8R(287)+C6H8R(287)<=>C12H16R2(305) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4465; RMG #4465
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(306); C6H8R(288), C12H15R(306);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H8R(288)<=>C12H15R(306) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #4466; RMG #4466
-! Library reaction: restart
-! Flux pairs: C10H12L(292), C10H12L(307);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H
-C10H12L(292)<=>C10H12L(307) 9.450000e+10 0.290 11.829
-
-! Reaction index: Chemkin #4467; RMG #4467
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(308); C6H9(160), C12H16(308);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(160)<=>C12H16(308) 1.000000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #4468; RMG #4468
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(309); C6H9(160), C12H16(309);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(160)<=>C12H16(309) 1.000000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #4469; RMG #4469
-! Library reaction: restart
-! Flux pairs: C13H20R(281), C13H20R(310);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C13H20R(281)<=>C13H20R(310) 1.260000e+11 0.160 5.938
-
-! Reaction index: Chemkin #4470; RMG #4470
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H13(311); C6H7(239), C9H13(311);
-! Estimated using template [Cds-HH_Cds-Cs\H3/H;CsJ-CdHH] for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H7(239)<=>C9H13(311) 7.800000e+02 2.530 11.000
-
-! Reaction index: Chemkin #4471; RMG #4471
-! Library reaction: restart
-! Flux pairs: C9H13(311), C9H13(312);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C9H13(311)<=>C9H13(312) 1.260000e+11 0.160 6.026
-
-! Reaction index: Chemkin #4472; RMG #4472
-! Library reaction: restart
-! Flux pairs: C9H13(311), C9H13(313);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C9H13(311)<=>C9H13(313) 1.260000e+11 0.160 9.310
-
-! Reaction index: Chemkin #4473; RMG #4473
-! Library reaction: restart
-! Flux pairs: C9H12L(241), C9H12L(314);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C9H12L(241)<=>C9H12L(314) 1.260000e+11 0.160 9.195
-
-! Reaction index: Chemkin #4474; RMG #4474
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C12H16R2(315); C6H8R(287), C12H16R2(315);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H8R(287)+C6H8R(287)<=>C12H16R2(315) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4475; RMG #4475
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(298), C11H14(276); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C11H13(298)<=>C3H5(102)+C11H14(276) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4476; RMG #4476
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(276), C11H13(298); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C11H14(276)<=>CCL(26)+C11H13(298) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4477; RMG #4477
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H14R(316); C6H7(239), C10H14R(316);
-! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H7(239)<=>C10H14R(316) 4.860000e+03 2.410 10.980
-
-! Reaction index: Chemkin #4478; RMG #4478
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481
-
-! Reaction index: Chemkin #4479; RMG #4479
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481
-
-! Reaction index: Chemkin #4480; RMG #4480
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4481; RMG #4481
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4482; RMG #4482
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.481
-
-! Reaction index: Chemkin #4483; RMG #4483
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4484; RMG #4484
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4485; RMG #4485
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4486; RMG #4486
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C10H14R(316)<=>RC10L(1)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4487; RMG #4487
-! Library reaction: restart
-! Flux pairs: C10H20R(64), RC10(2); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C10H20R(64)<=>C10H13R(240)+RC10(2) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4488; RMG #4488
-! Library reaction: restart
-! Flux pairs: C10H20L(76), LC10(3); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C10H20L(76)<=>C10H13R(240)+LC10(3) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4489; RMG #4489
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C10H14R(316)<=>C3H5R(12)+C10H13R(240) 1.225850e+27 -4.376 6.748
-
-! Reaction index: Chemkin #4490; RMG #4490
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C10H14R(316)<=>CC(C)L(13)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4491; RMG #4491
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H14R(316)<=>CCCC(C)L(16)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4492; RMG #4492
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C10H14R(316)<=>C6H11R(17)+C10H13R(240) 1.225850e+27 -4.376 6.874
-
-! Reaction index: Chemkin #4493; RMG #4493
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C10H14R(316)<=>C3H6(18)+C10H13R(240) 2.451710e+27 -4.376 6.124
-
-! Reaction index: Chemkin #4494; RMG #4494
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C10H14R(316)<=>CC(C)CR(20)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4495; RMG #4495
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C10H14R(316)<=>CR(22)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4496; RMG #4496
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C10H14R(316)<=>CC(C)CC(C)CR(23)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4497; RMG #4497
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C10H14R(316)<=>C5H9L(24)+C10H13R(240) 1.225850e+27 -4.376 6.874
-
-! Reaction index: Chemkin #4498; RMG #4498
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C10H14R(316)<=>CC(C)CC(C)L(25)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4499; RMG #4499
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H14R(316)<=>CCL(26)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4500; RMG #4500
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H14R(316)<=>CCCR(27)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4501; RMG #4501
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H14R(316)<=>CCCC(C)CR(32)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4502; RMG #4502
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C10H14R(316)<=>CC(L)CC(C)L(35)+C10H13R(240) 1.225850e+27 -4.376 4.481
-
-! Reaction index: Chemkin #4503; RMG #4503
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H14R(316)<=>C8H17L(49)+C10H13R(240) 1.225850e+27 -4.376 4.144
-
-! Reaction index: Chemkin #4504; RMG #4504
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H14R(316)<=>C6H11R(56)+C10H13R(240) 1.225850e+27 -4.376 7.179
-
-! Reaction index: Chemkin #4505; RMG #4505
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C10H14R(316)<=>C6H11R(56)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4506; RMG #4506
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H14R(316)<=>C5H9L(57)+C10H13R(240) 1.225850e+27 -4.376 7.179
-
-! Reaction index: Chemkin #4507; RMG #4507
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C10H14R(316)<=>C5H9L(57)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4508; RMG #4508
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C10H14R(316)<=>C3H5R(58)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4509; RMG #4509
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C10H14R(316)<=>C3H5L(59)+C10H13R(240) 2.451710e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4510; RMG #4510
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C10H14R(316)<=>C4H7R(60)+C10H13R(240) 2.451710e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4511; RMG #4511
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C10H14R(316)<=>C4H7R(60)+C10H13R(240) 1.225850e+27 -4.376 6.748
-
-! Reaction index: Chemkin #4512; RMG #4512
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C10H14R(316)<=>C8H15L(61)+C10H13R(240) 1.225850e+27 -4.376 7.179
-
-! Reaction index: Chemkin #4513; RMG #4513
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C10H14R(316)<=>C7H13R(62)+C10H13R(240) 1.225850e+27 -4.376 6.874
-
-! Reaction index: Chemkin #4514; RMG #4514
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C10H14R(316)<=>C6H11L(63)+C10H13R(240) 1.225850e+27 -4.376 6.874
-
-! Reaction index: Chemkin #4515; RMG #4515
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C10H14R(316)<=>C(75)+C10H13R(240) 1.225850e+27 -4.376 3.120
-
-! Reaction index: Chemkin #4516; RMG #4516
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C10H14R(316)<=>C4H7R(81)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4517; RMG #4517
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C10H14R(316)<=>[H][H](83)+C10H13R(240) 1.225850e+27 -4.376 3.245
-
-! Reaction index: Chemkin #4518; RMG #4518
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H14R(316)<=>C5H9L(84)+C10H13R(240) 1.225850e+27 -4.376 6.862
-
-! Reaction index: Chemkin #4519; RMG #4519
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C10H14R(316)<=>C3H5L(86)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4520; RMG #4520
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C10H14R(316)<=>CC(C)CC(C)C(87)+C10H13R(240) 1.225850e+27 -4.376 3.713
-
-! Reaction index: Chemkin #4521; RMG #4521
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C10H14R(316)<=>CCC(95)+C10H13R(240) 1.225850e+27 -4.376 4.127
-
-! Reaction index: Chemkin #4522; RMG #4522
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C10H14R(316)<=>CCC(95)+C10H13R(240) 1.225850e+27 -4.376 3.639
-
-! Reaction index: Chemkin #4523; RMG #4523
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H14R(316)<=>C6H11R(98)+C10H13R(240) 1.225850e+27 -4.376 6.862
-
-! Reaction index: Chemkin #4524; RMG #4524
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C10H14R(316)<=>C6H11L(107)+C10H13R(240) 1.225850e+27 -4.376 7.179
-
-! Reaction index: Chemkin #4525; RMG #4525
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C10H14R(316)<=>C6H11L(107)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4526; RMG #4526
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C10H14R(316)<=>C6H10(110)+C10H13R(240) 1.225850e+27 -4.376 8.101
-
-! Reaction index: Chemkin #4527; RMG #4527
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C10H14R(316)<=>C6H10(116)+C10H13R(240) 2.451710e+27 -4.376 7.443
-
-! Reaction index: Chemkin #4528; RMG #4528
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C10H14R(316)<=>C6H10(116)+C10H13R(240) 1.225850e+27 -4.376 7.443
-
-! Reaction index: Chemkin #4529; RMG #4529
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C10H14R(316)<=>C6H8(118)+C10H13R(240) 2.451710e+27 -4.376 6.844
-
-! Reaction index: Chemkin #4530; RMG #4530
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H14R(316)<=>C6H8(118)+C10H13R(240) 1.225850e+27 -4.376 8.012
-
-! Reaction index: Chemkin #4531; RMG #4531
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C10H14R(316)<=>C7H13R(120)+C10H13R(240) 1.225850e+27 -4.376 7.179
-
-! Reaction index: Chemkin #4532; RMG #4532
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C10H14R(316)<=>C7H13R(120)+C10H13R(240) 1.225850e+27 -4.376 6.099
-
-! Reaction index: Chemkin #4533; RMG #4533
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C10H14R(316)<=>C6H8(125)+C10H13R(240) 2.451710e+27 -4.376 6.924
-
-! Reaction index: Chemkin #4534; RMG #4534
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C10H14R(316)<=>C4H8(157)+C10H13R(240) 2.451710e+27 -4.376 5.813
-
-! Reaction index: Chemkin #4535; RMG #4535
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C10H14R(316)<=>C5H8(173)+C10H13R(240) 2.451710e+27 -4.376 8.012
-
-! Reaction index: Chemkin #4536; RMG #4536
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H14(179); C10H13(202), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C10H14R(316)<=>C10H13R(240)+C10H14(179) 1.225850e+27 -4.376 7.503
-
-! Reaction index: Chemkin #4537; RMG #4537
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C10H14R(316)<=>C5H8(180)+C10H13R(240) 2.451710e+27 -4.376 7.443
-
-! Reaction index: Chemkin #4538; RMG #4538
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C10H14R(316)<=>C5H6(187)+C10H13R(240) 6.129270e+27 -4.376 6.827
-
-! Reaction index: Chemkin #4539; RMG #4539
-! Library reaction: restart
-! Flux pairs: C11H15(234), C11H16(229); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C11H15(234)<=>C10H13R(240)+C11H16(229) 1.225850e+27 -4.376 7.443
-
-! Reaction index: Chemkin #4540; RMG #4540
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C10H14R(316)<=>C6H9R(285)+C10H13R(240) 1.225850e+27 -4.376 8.012
-
-! Reaction index: Chemkin #4541; RMG #4541
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H14R(316)<=>C6H8(290)+C10H13R(240) 1.225850e+27 -4.376 8.832
-
-! Reaction index: Chemkin #4542; RMG #4542
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C10H14R(316); C10H13R(240), C10H14R(316);
-! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C10H13R(240)<=>C10H14R(316) 1.691000e+10 1.168 2.996
-
-! Reaction index: Chemkin #4543; RMG #4543
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(317); C6H8R(288), C12H15R(317);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H8R(288)<=>C12H15R(317) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #4544; RMG #4544
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(60), C10H15R2(318); C6H8R(287), C10H15R2(318);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C4H7R(60)+C6H8R(287)<=>C10H15R2(318) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #4545; RMG #4545
-! Library reaction: restart
-! Flux pairs: C6H8R(287), C12H16R2(319); C6H8R(287), C12H16R2(319);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H8R(287)+C6H8R(287)<=>C12H16R2(319) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4546; RMG #4546
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(320); C6H8R(288), C12H15R(320);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H8R(288)<=>C12H15R(320) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #4547; RMG #4547
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(321); C6H8R(288), C12H15R(321);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-C6H7(239)+C6H8R(288)<=>C12H15R(321) 5.000000e+13 -0.000 0.000
-
-! Reaction index: Chemkin #4548; RMG #4548
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(322); C6H8R(287), C12H15R(322);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H7(239)+C6H8R(287)<=>C12H15R(322) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4549; RMG #4549
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(323); C6H8(125), C12H15(323);
-! From training reaction 50 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-CdCdH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(125)<=>C12H15(323) 2.880000e+01 2.740 3.300
-
-! Reaction index: Chemkin #4550; RMG #4550
-! Library reaction: restart
-! Flux pairs: H(82), C12H16(269); C12H15(323), C12H16(269);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO
-H(82)+C12H15(323)<=>C12H16(269) 3.680110e+13 -0.486 0.000
-
-! Reaction index: Chemkin #4551; RMG #4551
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H15(323)<=>C3H5R(12)+C12H16(269) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4552; RMG #4552
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H15(323)<=>C6H11R(17)+C12H16(269) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4553; RMG #4553
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C12H15(323)<=>C3H6(18)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4554; RMG #4554
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C12H15(323)<=>C3H6(18)+C12H16(269) 2.451710e+27 -4.376 7.580
-
-! Reaction index: Chemkin #4555; RMG #4555
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H15(323)<=>C2H3L(19)+C12H16(269) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4556; RMG #4556
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H15(323)<=>C8H15L(21)+C12H16(269) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4557; RMG #4557
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H15(323)<=>C5H9L(24)+C12H16(269) 1.225850e+27 -4.376 7.493
-
-! Reaction index: Chemkin #4558; RMG #4558
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C12H15(323)<=>C6H11R(56)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4559; RMG #4559
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C12H15(323)<=>C5H9L(57)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4560; RMG #4560
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C12H15(323)<=>C3H5R(58)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4561; RMG #4561
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C12H15(323)<=>C3H5L(59)+C12H16(269) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #4562; RMG #4562
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C12H15(323)<=>C4H7R(60)+C12H16(269) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #4563; RMG #4563
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C12H15(323)<=>C8H15L(61)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4564; RMG #4564
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C12H15(323)<=>C7H13R(62)+C12H16(269) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4565; RMG #4565
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C12H15(323)<=>C6H11L(63)+C12H16(269) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4566; RMG #4566
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(323)<=>C6H8(118)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4567; RMG #4567
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(323)<=>C6H8(125)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4568; RMG #4568
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C12H15(323)<=>C6H8(125)+C12H16(269) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4569; RMG #4569
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C12H15(323)<=>C5H6(187)+C12H16(269) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4570; RMG #4570
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(323)<=>C6H6(252)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4571; RMG #4571
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C12H15(323)<=>C6H6(252)+C12H16(269) 1.225850e+27 -4.376 11.468
-
-! Reaction index: Chemkin #4572; RMG #4572
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C12H15(323)<=>C5H7L(262)+C12H16(269) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #4573; RMG #4573
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(323)<=>C5H7L(262)+C12H16(269) 1.225850e+27 -4.376 10.329
-
-! Reaction index: Chemkin #4574; RMG #4574
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C12H15(323)<=>C8H12(194)+C12H16(269) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4575; RMG #4575
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C12H15(323)<=>C6H7(239)+C12H16(269) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4576; RMG #4576
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C12H15(323)<=>C6H7(239)+C12H16(269) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #4577; RMG #4577
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C12H15(323)<=>C5H7(174)+C12H16(269) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4578; RMG #4578
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C12H15(323)<=>C10H13R(240)+C12H16(269) 1.225850e+27 -4.376 7.503
-
-! Reaction index: Chemkin #4579; RMG #4579
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C11H15(256), C11H14(271);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(256)+C12H15(323)<=>C11H14(271)+C12H16(269) 1.225850e+27 -4.376 10.132
-
-! Reaction index: Chemkin #4580; RMG #4580
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C12H15(323)<=>C9H12(272)+C12H16(269) 1.225850e+27 -4.376 7.689
-
-! Reaction index: Chemkin #4581; RMG #4581
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C12H15(323)<=>C6H9R(285)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4582; RMG #4582
-! Library reaction: restart
-! Flux pairs: C12H15(323), C12H16(269); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H15(323)<=>C6H8(290)+C12H16(269) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #4583; RMG #4583
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H5R(220), C10H12R(324); C6H7(239), C10H12R(324);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H5R(220)+C6H7(239)<=>C10H12R(324) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #4584; RMG #4584
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H11L(325), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(65)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4585; RMG #4585
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H11L(325), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(69)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4586; RMG #4586
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(66)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4587; RMG #4587
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(68)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4588; RMG #4588
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H11L(325), C6H10L(169);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(72)<=>C6H10L(169)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4589; RMG #4589
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(73)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4590; RMG #4590
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(71)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4591; RMG #4591
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(67)<=>C6H10L(169)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4592; RMG #4592
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C9H17LR(70)<=>C6H10L(169)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4593; RMG #4593
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C10H20R(64)<=>C6H10L(169)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4594; RMG #4594
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C10H20L(76)<=>C6H10L(169)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4595; RMG #4595
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(325)<=>C3H5R(12)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4596; RMG #4596
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H11L(325)<=>CC(C)L(13)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4597; RMG #4597
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H11L(325)<=>CCCC(C)L(16)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4598; RMG #4598
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11R(17); C6H10R(171), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(325)<=>C6H10L(169)+C6H11R(17) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4599; RMG #4599
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C6H11L(325)<=>C3H6(18)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4600; RMG #4600
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H11L(325)<=>CC(C)CR(20)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4601; RMG #4601
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C6H11L(325)<=>CR(22)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4602; RMG #4602
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C7H14R(9)<=>C6H10L(169)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4603; RMG #4603
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(325)<=>C5H9L(24)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4604; RMG #4604
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C6H12L(11)<=>C6H10L(169)+CC(C)CC(C)L(25) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4605; RMG #4605
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C6H11L(325)<=>CCL(26)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4606; RMG #4606
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C6H11L(325)<=>CCCR(27)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4607; RMG #4607
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C[CH]CC(C)CR(5)<=>C6H10L(169)+CCCC(C)CR(32) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4608; RMG #4608
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C6H11L(325)<=>CC(L)CC(C)L(35)+C6H10L(169) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4609; RMG #4609
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C8H16L(15)<=>C6H10L(169)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4610; RMG #4610
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11R(56); C6H10R(90), C6H10L(169);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C6H11L(325)<=>C6H10L(169)+C6H11R(56) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4611; RMG #4611
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11R(56); C6H10R(171), C6H10L(169);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C6H11L(325)<=>C6H10L(169)+C6H11R(56) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4612; RMG #4612
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(77), C5H9L(57);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C6H11L(325)<=>C5H9L(57)+C6H10L(169) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4613; RMG #4613
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C6H11L(325)<=>C5H9L(57)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4614; RMG #4614
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C6H11L(325)<=>C3H5R(58)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4615; RMG #4615
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C6H11L(325)<=>C3H5L(59)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4616; RMG #4616
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C6H11L(325)<=>C4H7R(60)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4617; RMG #4617
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(325)<=>C4H7R(60)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4618; RMG #4618
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C6H11L(325), C6H10L(169);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C8H14L(112)<=>C6H10L(169)+C8H15L(61) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4619; RMG #4619
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C7H12R(108)<=>C6H10L(169)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4620; RMG #4620
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11L(63); C6H10L(103), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11L(325)<=>C6H10L(169)+C6H11L(63) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4621; RMG #4621
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C6H11L(325)<=>C(75)+C6H10L(169) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #4622; RMG #4622
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C6H11L(325)<=>C4H7R(81)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4623; RMG #4623
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C6H11L(325)<=>[H][H](83)+C6H10L(169) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #4624; RMG #4624
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C6H11L(325)<=>C5H9L(84)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4625; RMG #4625
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C6H11L(325)<=>C3H5L(86)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4626; RMG #4626
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C7H15(85)<=>C6H10L(169)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4627; RMG #4627
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C6H11L(325)<=>CCC(95)+C6H10L(169) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4628; RMG #4628
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C6H11L(325)<=>CCC(95)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4629; RMG #4629
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11R(98); C6H10R(90), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C6H11L(325)<=>C6H10L(169)+C6H11R(98) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4630; RMG #4630
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11L(107); C6H10L(169), C6H10L(169);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(169)+C6H11L(325)<=>C6H10L(169)+C6H11L(107) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4631; RMG #4631
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H11L(107); C6H10L(103), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C6H11L(325)<=>C6H10L(169)+C6H11L(107) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4632; RMG #4632
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C6H11L(325)<=>C6H10(110)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4633; RMG #4633
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C6H11L(325)<=>C6H10(116)+C6H10L(169) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4634; RMG #4634
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C6H11L(325)<=>C6H10(116)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4635; RMG #4635
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11L(325)<=>C6H8(118)+C6H10L(169) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4636; RMG #4636
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(169), C6H11L(325); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C6H10L(169)<=>C6H7(239)+C6H11L(325) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #4637; RMG #4637
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C6H11L(325), C6H10L(169);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C7H12R(199)<=>C6H10L(169)+C7H13R(120) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4638; RMG #4638
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C7H12R(108)<=>C6H10L(169)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4639; RMG #4639
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C6H11L(325)<=>C6H8(125)+C6H10L(169) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4640; RMG #4640
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C6H11L(325)<=>C4H8(157)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4641; RMG #4641
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C6H11L(325)<=>C5H8(173)+C6H10L(169) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4642; RMG #4642
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H10L(169)<=>C5H6(187)+C6H11L(325) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4643; RMG #4643
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C10H13(202)<=>C6H10L(169)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4644; RMG #4644
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C6H11L(325)<=>C5H8(180)+C6H10L(169) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4645; RMG #4645
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C6H11L(325)<=>C5H6(187)+C6H10L(169) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4646; RMG #4646
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C11H15(234)<=>C6H10L(169)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4647; RMG #4647
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10L(169)<=>C6H6(252)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4648; RMG #4648
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11L(325)<=>C6H9R(285)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4649; RMG #4649
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C6H11L(325)<=>C6H8(290)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4650; RMG #4650
-! Library reaction: restart
-! Flux pairs: CH3(74), C6H11L(325); C5H8L(77), C6H11L(325);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C5H8L(77)<=>C6H11L(325) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4651; RMG #4651
-! Library reaction: restart
-! Flux pairs: H(82), C6H11L(325); C6H10L(169), C6H11L(325);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C6H10L(169)<=>C6H11L(325) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #4652; RMG #4652
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10L(169)<=>C3H5R(12)+C6H11L(325) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4653; RMG #4653
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11L(325); C6H10L(169), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11R(17)+C6H11L(325) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4654; RMG #4654
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H10L(169)<=>C3H6(18)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4655; RMG #4655
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H10L(169)<=>C3H6(18)+C6H11L(325) 2.451710e+27 -4.376 7.295
-
-! Reaction index: Chemkin #4656; RMG #4656
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10L(169)<=>C2H3L(19)+C6H11L(325) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4657; RMG #4657
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C8H16L(15)<=>C6H11L(325)+C8H15L(21) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4658; RMG #4658
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(24)+C6H11L(325) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4659; RMG #4659
-! Library reaction: restart
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C[CH]CC(C)CR(5)<=>C6H11L(325)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4660; RMG #4660
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H10L(169)<=>C5H9L(57)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4661; RMG #4661
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H10L(169)<=>C3H5R(58)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4662; RMG #4662
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H10L(169)<=>C3H5L(59)+C6H11L(325) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4663; RMG #4663
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H10L(169)<=>C4H7R(60)+C6H11L(325) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4664; RMG #4664
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C8H16L(15)<=>C6H11L(325)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4665; RMG #4665
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(62); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(169)+C7H14R(9)<=>C6H11L(325)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4666; RMG #4666
-! Library reaction: restart
-! Flux pairs: C6H12L(11), C6H11L(325); C6H10L(169), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(169)+C6H12L(11)<=>C6H11L(63)+C6H11L(325) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4667; RMG #4667
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(169)<=>C6H8(118)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4668; RMG #4668
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C6H10L(169)<=>C6H8(125)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4669; RMG #4669
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C6H10L(169)<=>C6H8(125)+C6H11L(325) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4670; RMG #4670
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C8H13(191)<=>C6H11L(325)+C8H12(194) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4671; RMG #4671
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H10L(169)<=>C6H6(252)+C6H11L(325) 1.225850e+27 -4.376 11.099
-
-! Reaction index: Chemkin #4672; RMG #4672
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10L(169)<=>C5H7L(262)+C6H11L(325) 5.258140e+13 -0.550 0.687
-
-! Reaction index: Chemkin #4673; RMG #4673
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10L(169)<=>C5H7L(262)+C6H11L(325) 1.225850e+27 -4.376 9.983
-
-! Reaction index: Chemkin #4674; RMG #4674
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C6H10L(169)<=>C6H9R(285)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4675; RMG #4675
-! Library reaction: restart
-! Flux pairs: C6H10L(169), C6H11L(325); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10L(169)<=>C6H8(290)+C6H11L(325) 1.225850e+27 -4.376 10.941
-
-! Reaction index: Chemkin #4676; RMG #4676
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C10H15(183)<=>C6H11L(325)+C10H14(184) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #4677; RMG #4677
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H13(202)<=>C6H11L(325)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4678; RMG #4678
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C10H14R(316)<=>C6H11L(325)+C10H13R(240) 1.225850e+27 -4.376 7.220
-
-! Reaction index: Chemkin #4679; RMG #4679
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H15(283)<=>C6H11L(325)+C12H14(244) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #4680; RMG #4680
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(256)<=>C6H11L(325)+C11H14(271) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #4681; RMG #4681
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H13(260)<=>C6H11L(325)+C9H12(272) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4682; RMG #4682
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(226)<=>C6H11L(325)+C11H14(278) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #4683; RMG #4683
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(104), C11H14L(326); C6H7(239), C11H14L(326);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H7L(104)+C6H7(239)<=>C11H14L(326) 1.190000e+04 2.410 10.290
-
-! Reaction index: Chemkin #4684; RMG #4684
-! Library reaction: restart
-! Flux pairs: C11H14L(326), C11H14L(327);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H
-C11H14L(326)<=>C11H14L(327) 9.450000e+10 0.290 11.829
-
-! Reaction index: Chemkin #4685; RMG #4685
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C12H15(323)<=>C3H5(102)+C12H16(269) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #4686; RMG #4686
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), C8H10L(328); C6H7(239), C8H10L(328);
-! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C6H7(239)<=>C8H10L(328) 3.860000e+03 2.410 11.370
-
-! Reaction index: Chemkin #4687; RMG #4687
-! Library reaction: restart
-! Flux pairs: C5H5(189), C11H12(329); C6H7(239), C11H12(329);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_2R-inRing
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C6H7(239)<=>C11H12(329) 2.500000e+14 -0.000 0.000
-
-! Reaction index: Chemkin #4688; RMG #4688
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C11H13(298); C11H12(329), C11H13(298);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-H(82)+C11H12(329)<=>C11H13(298) 3.300000e+09 1.480 0.900
-
-! Reaction index: Chemkin #4689; RMG #4689
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(323)<=>C9H17LR(65)+C12H16(269) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #4690; RMG #4690
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(323)<=>C9H17LR(69)+C12H16(269) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #4691; RMG #4691
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4692; RMG #4692
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4693; RMG #4693
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(323)<=>C9H17LR(72)+C12H16(269) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #4694; RMG #4694
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4695; RMG #4695
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4696; RMG #4696
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4697; RMG #4697
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C12H16(269)<=>RC10L(1)+C12H15(323) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4698; RMG #4698
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(65)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4699; RMG #4699
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(69)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4700; RMG #4700
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(66)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4701; RMG #4701
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(68)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4702; RMG #4702
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(72)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4703; RMG #4703
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(73)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4704; RMG #4704
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(71)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4705; RMG #4705
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(67)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4706; RMG #4706
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(70)+C11H13(298)<=>RC10L(1)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4707; RMG #4707
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H20R(64)+C11H13(298)<=>RC10(2)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4708; RMG #4708
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H20L(76)+C11H13(298)<=>LC10(3)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4709; RMG #4709
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C11H13(298)<=>C3H5R(12)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4710; RMG #4710
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C11H13(298)<=>CC(C)L(13)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4711; RMG #4711
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C11H13(298)<=>CCCC(C)L(16)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4712; RMG #4712
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C11H13(298)<=>C6H11R(17)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4713; RMG #4713
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C11H13(298)<=>C3H6(18)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4714; RMG #4714
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C11H13(298)<=>CC(C)CR(20)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4715; RMG #4715
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C11H13(298)<=>CR(22)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4716; RMG #4716
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C11H13(298)<=>CC(C)CC(C)CR(23)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4717; RMG #4717
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C11H13(298)<=>C5H9L(24)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4718; RMG #4718
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C11H13(298)<=>CC(C)CC(C)L(25)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4719; RMG #4719
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C12H16(269)<=>CCL(26)+C12H15(323) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4720; RMG #4720
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C11H13(298)<=>CCL(26)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4721; RMG #4721
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C12H16(269)<=>CCCR(27)+C12H15(323) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4722; RMG #4722
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C11H13(298)<=>CCCR(27)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4723; RMG #4723
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C11H13(298)<=>CCCC(C)CR(32)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4724; RMG #4724
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C11H13(298)<=>CC(L)CC(C)L(35)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4725; RMG #4725
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C11H13(298)<=>C8H17L(49)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4726; RMG #4726
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C11H13(298)<=>C6H11R(56)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4727; RMG #4727
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C11H13(298)<=>C6H11R(56)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4728; RMG #4728
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C11H13(298)<=>C5H9L(57)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4729; RMG #4729
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C11H13(298)<=>C5H9L(57)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4730; RMG #4730
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C12H16(269)<=>C3H5R(58)+C12H15(323) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4731; RMG #4731
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C11H13(298)<=>C3H5R(58)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4732; RMG #4732
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C12H16(269)<=>C3H5L(59)+C12H15(323) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #4733; RMG #4733
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C11H13(298)<=>C3H5L(59)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4734; RMG #4734
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C11H13(298)<=>C4H7R(60)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4735; RMG #4735
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C11H13(298)<=>C4H7R(60)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4736; RMG #4736
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C11H13(298)<=>C8H15L(61)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4737; RMG #4737
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C11H13(298)<=>C7H13R(62)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4738; RMG #4738
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C11H13(298)<=>C6H11L(63)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4739; RMG #4739
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C11H13(298)<=>C(75)+C11H12(329) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4740; RMG #4740
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C11H13(298)<=>C(75)+C11H12(329) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4741; RMG #4741
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C12H16(269)<=>C4H7R(81)+C12H15(323) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #4742; RMG #4742
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C11H13(298)<=>C4H7R(81)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4743; RMG #4743
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C11H13(298)<=>[H][H](83)+C11H12(329) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #4744; RMG #4744
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C11H13(298)<=>C5H9L(84)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4745; RMG #4745
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C11H13(298)<=>C3H5L(86)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4746; RMG #4746
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C11H13(298)<=>CC(C)CC(C)C(87)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4747; RMG #4747
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C11H13(298)<=>CCC(95)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4748; RMG #4748
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C11H13(298)<=>CCC(95)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4749; RMG #4749
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C11H13(298)<=>C6H11R(98)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4750; RMG #4750
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C11H13(298)<=>C6H11L(107)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4751; RMG #4751
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C11H13(298)<=>C6H11L(107)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4752; RMG #4752
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C11H13(298)<=>C6H10(110)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4753; RMG #4753
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C11H13(298)<=>C6H10(116)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4754; RMG #4754
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H13(298)<=>C6H10(116)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4755; RMG #4755
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C11H13(298)<=>C6H8(118)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4756; RMG #4756
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H13(298)<=>C6H8(118)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4757; RMG #4757
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C11H13(298)<=>C7H13R(120)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4758; RMG #4758
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C11H13(298)<=>C7H13R(120)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4759; RMG #4759
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C11H13(298)<=>C6H8(125)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4760; RMG #4760
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C11H13(298)<=>C4H8(157)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4761; RMG #4761
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C11H13(298)<=>C5H8(173)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4762; RMG #4762
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C11H13(298)<=>C5H8(180)+C11H12(329) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4763; RMG #4763
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C11H13(298)<=>C5H6(187)+C11H12(329) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #4764; RMG #4764
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C11H13(298)<=>C6H9R(285)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4765; RMG #4765
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H13(298)<=>C6H8(290)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4766; RMG #4766
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C11H13(298)<=>C6H11L(325)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4767; RMG #4767
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C7H13R(330), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(65)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4768; RMG #4768
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C7H13R(330), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(69)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4769; RMG #4769
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(66)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4770; RMG #4770
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(68)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4771; RMG #4771
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C7H13R(330), C7H12R(199);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(72)<=>C7H12R(199)+RC10L(1) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4772; RMG #4772
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(73)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4773; RMG #4773
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(71)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4774; RMG #4774
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(67)<=>C7H12R(199)+RC10L(1) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4775; RMG #4775
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C9H17LR(70)<=>C7H12R(199)+RC10L(1) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4776; RMG #4776
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C10H20R(64)<=>C7H12R(199)+RC10(2) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4777; RMG #4777
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C10H20L(76)<=>C7H12R(199)+LC10(3) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4778; RMG #4778
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C3H4R(78), C3H5R(12);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(330)<=>C3H5R(12)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4779; RMG #4779
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C7H13R(330)<=>CC(C)L(13)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4780; RMG #4780
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C7H13R(330)<=>CCCC(C)L(16)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4781; RMG #4781
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(171), C6H11R(17);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(330)<=>C6H11R(17)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4782; RMG #4782
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C3H5(102), C3H6(18);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5(102)+C7H13R(330)<=>C3H6(18)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4783; RMG #4783
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C7H13R(330)<=>CC(C)CR(20)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4784; RMG #4784
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]R(14)+C7H13R(330)<=>CR(22)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4785; RMG #4785
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C7H14R(9)<=>C7H12R(199)+CC(C)CC(C)CR(23) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4786; RMG #4786
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(89), C5H9L(24);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(330)<=>C5H9L(24)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4787; RMG #4787
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H12L(11)+C7H13R(330)<=>CC(C)CC(C)L(25)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4788; RMG #4788
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]L(8)+C7H13R(330)<=>CCL(26)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4789; RMG #4789
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CR(10)+C7H13R(330)<=>CCCR(27)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4790; RMG #4790
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C7H13R(330)<=>CCCC(C)CR(32)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4791; RMG #4791
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(90), C6H11R(56);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C7H13R(330)<=>C6H11R(56)+C7H12R(199) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4792; RMG #4792
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(171), C6H11R(56);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(171)+C7H13R(330)<=>C6H11R(56)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4793; RMG #4793
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(77), C5H9L(57);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C7H13R(330)<=>C5H9L(57)+C7H12R(199) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4794; RMG #4794
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(89), C5H9L(57);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(89)+C7H13R(330)<=>C5H9L(57)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4795; RMG #4795
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C3H4R(78), C3H5R(58);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4R(78)+C7H13R(330)<=>C3H5R(58)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4796; RMG #4796
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(147)+C7H13R(330)<=>C3H5L(59)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4797; RMG #4797
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(224)+C7H13R(330)<=>C4H7R(60)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4798; RMG #4798
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(79), C4H7R(60);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(330)<=>C4H7R(60)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4799; RMG #4799
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C7H13R(330), C7H12R(199);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C8H14L(112)<=>C7H12R(199)+C8H15L(61) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4800; RMG #4800
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H13R(62); C7H12R(108), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C7H13R(330)<=>C7H12R(199)+C7H13R(62) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4801; RMG #4801
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(103), C6H11L(63);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(330)<=>C6H11L(63)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4802; RMG #4802
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); CH3(74), C(75);
-! From training reaction 1082 used for C/H/Cs2Cd;C_methyl
-! Exact match found for rate rule [C/H/Cs2Cd;C_methyl]
-! Euclidian distance = 0
-! family: H_Abstraction
-CH3(74)+C7H13R(330)<=>C(75)+C7H12R(199) 5.870000e-03 4.340 2.200
-
-! Reaction index: Chemkin #4803; RMG #4803
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6R(79)+C7H13R(330)<=>C4H7R(81)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4804; RMG #4804
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); H(82), [H][H](83);
-! From training reaction 1081 used for C/H/Cs2Cd;H_rad
-! Exact match found for rate rule [C/H/Cs2Cd;H_rad]
-! Euclidian distance = 0
-! family: H_Abstraction
-H(82)+C7H13R(330)<=>[H][H](83)+C7H12R(199) 2.480000e-01 4.340 0.100
-
-! Reaction index: Chemkin #4805; RMG #4805
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H8L(77), C5H9L(84);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H8L(77)+C7H13R(330)<=>C5H9L(84)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4806; RMG #4806
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C3H4L(219), C3H5L(86);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C3H4L(219)+C7H13R(330)<=>C3H5L(86)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4807; RMG #4807
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C7H15(85)<=>C7H12R(199)+CC(C)CC(C)C(87) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4808; RMG #4808
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C[CH]C(94), CCC(95);
-! From training reaction 1084 used for C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C[CH]C(94)+C7H13R(330)<=>CCC(95)+C7H12R(199) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4809; RMG #4809
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]CC(195)+C7H13R(330)<=>CCC(95)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4810; RMG #4810
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10R(90), C6H11R(98);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10R(90)+C7H13R(330)<=>C6H11R(98)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4811; RMG #4811
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(169), C6H11L(107);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(169)+C7H13R(330)<=>C6H11L(107)+C7H12R(199) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4812; RMG #4812
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(103)+C7H13R(330)<=>C6H11L(107)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4813; RMG #4813
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H9(113), C6H10(110);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(113)+C7H13R(330)<=>C6H10(110)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4814; RMG #4814
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H9(160), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(160)+C7H13R(330)<=>C6H10(116)+C7H12R(199) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4815; RMG #4815
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H9(114), C6H10(116);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H9(114)+C7H13R(330)<=>C6H10(116)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4816; RMG #4816
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H7(123), C6H8(118);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C7H13R(330)<=>C6H8(118)+C7H12R(199) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4817; RMG #4817
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(330); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/CdCs2] for rate rule [2_methyl_CPD;C_rad/CdCs2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C7H12R(199)<=>C6H7(239)+C7H13R(330) 4.200000e-04 4.340 13.600
-
-! Reaction index: Chemkin #4818; RMG #4818
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H13R(120); C7H12R(199), C7H12R(199);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(199)+C7H13R(330)<=>C7H12R(199)+C7H13R(120) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4819; RMG #4819
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H13R(120); C7H12R(108), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H12R(108)+C7H13R(330)<=>C7H12R(199)+C7H13R(120) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4820; RMG #4820
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H7(123), C6H8(125);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(123)+C7H13R(330)<=>C6H8(125)+C7H12R(199) 2.920000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4821; RMG #4821
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C4H7(156), C4H8(157);
-! Estimated using template [C/H/Cs2Cd;C_rad/H2/Cd] for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7(156)+C7H13R(330)<=>C4H8(157)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4822; RMG #4822
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H7(174), C5H8(173);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(174)+C7H13R(330)<=>C5H8(173)+C7H12R(199) 5.560000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4823; RMG #4823
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H7(178), C5H8(180);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H7(178)+C7H13R(330)<=>C5H8(180)+C7H12R(199) 2.300000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4824; RMG #4824
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H5(189), C5H6(187);
-! From training reaction 1088 used for C/H/Cs2Cd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 5.0
-! family: H_Abstraction
-C5H5(189)+C7H13R(330)<=>C5H6(187)+C7H12R(199) 7.300000e-03 4.340 12.900
-
-! Reaction index: Chemkin #4825; RMG #4825
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1085 used for C/H/Cs2Cd;C_rad/Cs3
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/Cs3]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L2(203)+C7H13R(330)<=>CC(L)CC(C)L(35)+C7H12R(199) 2.860000e-04 4.340 0.200
-
-! Reaction index: Chemkin #4826; RMG #4826
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C8H16L(15)<=>C7H12R(199)+C8H17L(49) 4.260000e-04 4.340 1.600
-
-! Reaction index: Chemkin #4827; RMG #4827
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C7H13R(330), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C11H15(234)<=>C7H12R(199)+C11H16(229) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4828; RMG #4828
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C7H13R(330), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C10H13(202)<=>C7H12R(199)+C10H14(179) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4829; RMG #4829
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C7H12R(199)<=>C6H6(252)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4830; RMG #4830
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H8R(287), C6H9R(285);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C7H13R(330)<=>C6H9R(285)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #4831; RMG #4831
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H7(239), C6H8(290);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H7(239)+C7H13R(330)<=>C6H8(290)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #4832; RMG #4832
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H10L(169), C6H11L(325);
-! From training reaction 3029 used for C/H/Cs2Cd;C_rad/CdCs2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/CdCs2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H10L(169)+C7H13R(330)<=>C6H11L(325)+C7H12R(199) 1.190000e-04 4.340 8.300
-
-! Reaction index: Chemkin #4833; RMG #4833
-! Library reaction: restart
-! Flux pairs: CH3(74), C7H13R(330); C6H10R(90), C7H13R(330);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-CH3(74)+C6H10R(90)<=>C7H13R(330) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4834; RMG #4834
-! Library reaction: restart
-! Flux pairs: H(82), C7H13R(330); C7H12R(199), C7H13R(330);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R
-H(82)+C7H12R(199)<=>C7H13R(330) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #4835; RMG #4835
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C7H12R(199)<=>C3H5R(12)+C7H13R(330) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4836; RMG #4836
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(17)+C7H13R(330) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4837; RMG #4837
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C7H12R(199)<=>C3H6(18)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4838; RMG #4838
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C7H12R(199)<=>C3H6(18)+C7H13R(330) 2.451710e+27 -4.376 7.295
-
-! Reaction index: Chemkin #4839; RMG #4839
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C7H12R(199)<=>C2H3L(19)+C7H13R(330) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4840; RMG #4840
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(21); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C8H16L(15)<=>C7H13R(330)+C8H15L(21) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4841; RMG #4841
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(24)+C7H13R(330) 1.225850e+27 -4.376 7.210
-
-! Reaction index: Chemkin #4842; RMG #4842
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C7H12R(199)<=>C6H11R(56)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4843; RMG #4843
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C7H12R(199)<=>C5H9L(57)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4844; RMG #4844
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C7H12R(199)<=>C3H5R(58)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4845; RMG #4845
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C7H12R(199)<=>C3H5L(59)+C7H13R(330) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4846; RMG #4846
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C7H12R(199)<=>C4H7R(60)+C7H13R(330) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4847; RMG #4847
-! Library reaction: restart
-! Flux pairs: C8H16L(15), C8H15L(61); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C8H16L(15)<=>C7H13R(330)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4848; RMG #4848
-! Library reaction: restart
-! Flux pairs: C7H14R(9), C7H13R(330); C7H12R(199), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H12R(199)+C7H14R(9)<=>C7H13R(62)+C7H13R(330) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4849; RMG #4849
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C7H12R(199)<=>C6H11L(63)+C7H13R(330) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4850; RMG #4850
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(199)<=>C6H8(118)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4851; RMG #4851
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C7H12R(199)<=>C6H8(125)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4852; RMG #4852
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C7H12R(199)<=>C6H8(125)+C7H13R(330) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4853; RMG #4853
-! Library reaction: restart
-! Flux pairs: C10H15(183), C10H14(184); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C10H15(183)<=>C7H13R(330)+C10H14(184) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #4854; RMG #4854
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C7H12R(199)<=>C5H6(187)+C7H13R(330) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #4855; RMG #4855
-! Library reaction: restart
-! Flux pairs: C8H13(191), C8H12(194); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C8H13(191)<=>C7H13R(330)+C8H12(194) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4856; RMG #4856
-! Library reaction: restart
-! Flux pairs: C10H13(202), C10H12(201); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H13(202)<=>C7H13R(330)+C10H12(201) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4857; RMG #4857
-! Library reaction: restart
-! Flux pairs: C10H14R(316), C10H13R(240); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C10H14R(316)<=>C7H13R(330)+C10H13R(240) 1.225850e+27 -4.376 7.220
-
-! Reaction index: Chemkin #4858; RMG #4858
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C7H12R(199)<=>C6H6(252)+C7H13R(330) 1.225850e+27 -4.376 11.099
-
-! Reaction index: Chemkin #4859; RMG #4859
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C7H12R(199)<=>C5H7L(262)+C7H13R(330) 5.258140e+13 -0.550 0.687
-
-! Reaction index: Chemkin #4860; RMG #4860
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C7H12R(199)<=>C5H7L(262)+C7H13R(330) 1.225850e+27 -4.376 9.983
-
-! Reaction index: Chemkin #4861; RMG #4861
-! Library reaction: restart
-! Flux pairs: C11H15(256), C11H14(271); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(256)<=>C7H13R(330)+C11H14(271) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #4862; RMG #4862
-! Library reaction: restart
-! Flux pairs: C9H13(260), C9H12(272); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H13(260)<=>C7H13R(330)+C9H12(272) 1.225850e+27 -4.376 7.402
-
-! Reaction index: Chemkin #4863; RMG #4863
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C7H12R(199)<=>C6H9R(285)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4864; RMG #4864
-! Library reaction: restart
-! Flux pairs: C7H12R(199), C7H13R(330); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C7H12R(199)<=>C6H8(290)+C7H13R(330) 1.225850e+27 -4.376 10.941
-
-! Reaction index: Chemkin #4865; RMG #4865
-! Library reaction: restart
-! Flux pairs: C12H15(283), C12H14(244); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H15(283)<=>C7H13R(330)+C12H14(244) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #4866; RMG #4866
-! Library reaction: restart
-! Flux pairs: C11H15(226), C11H14(278); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(226)<=>C7H13R(330)+C11H14(278) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #4867; RMG #4867
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H12(329); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C11H13(298)<=>C7H13R(330)+C11H12(329) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #4868; RMG #4868
-! Library reaction: restart
-! Flux pairs: C5H7(174), C11H14(331); C6H7(239), C11H14(331);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C5H7(174)+C6H7(239)<=>C11H14(331) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4869; RMG #4869
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(269), C12H15(323); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C12H16(269)<=>CR(22)+C12H15(323) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4870; RMG #4870
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C12H15(323)<=>CH3(74)+C12H16(269) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #4871; RMG #4871
-! Library reaction: restart
-! Flux pairs: C11H13(298), C11H14(276); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C11H13(298)<=>C10H13R(240)+C11H14(276) 1.225850e+27 -4.376 7.503
-
-! Reaction index: Chemkin #4872; RMG #4872
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C9H14L(332); C6H9(160), C9H14L(332);
-! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C6H9(160)<=>C9H14L(332) 9.720000e+03 2.410 10.980
-
-! Reaction index: Chemkin #4873; RMG #4873
-! Library reaction: restart
-! Flux pairs: C10H12R(324), C10H12R(333);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C10H12R(324)<=>C10H12R(333) 1.260000e+11 0.160 11.046
-
-! Reaction index: Chemkin #4874; RMG #4874
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(334); C6H8R(287), C12H15R(334);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H7(239)+C6H8R(287)<=>C12H15R(334) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4875; RMG #4875
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H16(335); C6H9(113), C12H16(335);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(335) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #4876; RMG #4876
-! Library reaction: restart
-! Flux pairs: C6H7(239), C12H15R(336); C6H8R(287), C12H15R(336);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C6H7(239)+C6H8R(287)<=>C12H15R(336) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4877; RMG #4877
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(337); C6H8(125), C12H15(337);
-! Estimated using template [Cds-CsH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(125)<=>C12H15(337) 1.360000e+04 2.410 9.870
-
-! Reaction index: Chemkin #4878; RMG #4878
-! Library reaction: restart
-! Flux pairs: C3H5(102), C9H13R(338); C6H8R(287), C9H13R(338);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H8R(287)<=>C9H13R(338) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4879; RMG #4879
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(276), C11H13(298); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C11H14(276)<=>CCCR(27)+C11H13(298) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #4880; RMG #4924
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), RC10(2); C[CH]CC(C)CR(5), RC10(2);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>RC10(2) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4881; RMG #5938
-! Library reaction: restart_edge
-! Flux pairs: C[CH]CR(10), CC(C)CC(C)CR(23); [CH2]C(C)C(399), CC(C)CC(C)CR(23);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]CR(10)+[CH2]C(C)C(399)<=>CC(C)CC(C)CR(23) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4882; RMG #6092
-! Library reaction: restart_edge
-! Flux pairs: C[CH]L(8), CC(C)CC(C)L(25); [CH2]C(C)C(399), CC(C)CC(C)L(25);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+[CH2]C(C)C(399)<=>CC(C)CC(C)L(25) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #4883; RMG #16811
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: CH3(74), [CH2]C(C)C(399); C3H6(18), [CH2]C(C)C(399);
-! Matched reaction 2929 CH3 + propene_2 <=> C4H9-4 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
-! family: R_Addition_MultipleBond
-CH3(74)+C3H6(18)<=>[CH2]C(C)C(399) 1.580000e+02 2.966 6.337
-
-! Reaction index: Chemkin #4884; RMG #20884
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C7H15(85); [CH2]C(C)C(399), C7H15(85);
-! Matched reaction 2938 C4H9-9 + propene_2 <=> C7H15-16 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
-! family: R_Addition_MultipleBond
-C3H6(18)+[CH2]C(C)C(399)<=>C7H15(85) 1.502000e+00 3.105 5.819
-
-! Reaction index: Chemkin #4885; RMG #21888
-! Library reaction: restart_edge
-! Flux pairs: C[CH]C(94), CC(C)CC(C)C(87); [CH2]C(C)C(399), CC(C)CC(C)C(87);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-1C-R_Ext-5R!H-R
-C[CH]C(94)+[CH2]C(C)C(399)<=>CC(C)CC(C)C(87) 2.124550e+14 -0.429 0.000
-
-! Reaction index: Chemkin #4886; RMG #68907
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(65), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(65)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4887; RMG #68909
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(69), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(69)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4888; RMG #68911
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(66), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(66)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4889; RMG #68913
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(68), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(68)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4890; RMG #68915
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(72), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(72)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4891; RMG #68917
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(73), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C9H17LR(73)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4892; RMG #68919
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(71), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C9H17LR(71)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4893; RMG #68921
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(67), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C9H17LR(67)<=>C4H8(157)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4894; RMG #68923
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(70), RC10L(1); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C9H17LR(70)<=>C4H8(157)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4895; RMG #68941
-! Library reaction: restart_edge
-! Flux pairs: C10H20R(64), RC10(2); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C10H20R(64)<=>C4H8(157)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4896; RMG #68959
-! Library reaction: restart_edge
-! Flux pairs: C10H20L(76), LC10(3); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C10H20L(76)<=>C4H8(157)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4897; RMG #68973
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+[CH2]C(C)C(399)<=>C3H5R(12)+C4H8(157) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4898; RMG #68984
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]C(C)C(399)<=>CC(C)L(13)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4899; RMG #68993
-! Library reaction: restart_edge
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>C4H8(157)+CCCC(C)L(16) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4900; RMG #69001
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(171), C6H11R(17); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10R(171)<=>C4H8(157)+C6H11R(17) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4901; RMG #69014
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H5(102), C3H6(18);
-! Matched reaction 40 C3H5 + C4H9-2 <=> C3H6 + C4H8-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R]
-! family: Disproportionation
-C3H5(102)+[CH2]C(C)C(399)<=>C3H6(18)+C4H8(157) 1.566000e+12 0.000 -0.130
-
-! Reaction index: Chemkin #4902; RMG #69033
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), CC(C)CR(20); [CH2]C(C)CR(6), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+[CH2]C(C)C(399)<=>C4H8(157)+CC(C)CR(20) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4903; RMG #69054
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+[CH2]C(C)C(399)<=>CR(22)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4904; RMG #69066
-! Library reaction: restart_edge
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C7H14R(9)<=>C4H8(157)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4905; RMG #69070
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(89), C5H9L(24); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C5H8L(89)<=>C4H8(157)+C5H9L(24) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4906; RMG #69087
-! Library reaction: restart_edge
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H12L(11)<=>C4H8(157)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4907; RMG #69093
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+[CH2]C(C)C(399)<=>CCL(26)+C4H8(157) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4908; RMG #69095
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+[CH2]C(C)C(399)<=>CCCR(27)+C4H8(157) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4909; RMG #69165
-! Library reaction: restart_edge
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>C4H8(157)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4910; RMG #69195
-! Library reaction: restart_edge
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C5H9L2(203)<=>C4H8(157)+CC(L)CC(C)L(35) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4911; RMG #69361
-! Library reaction: restart_edge
-! Flux pairs: C8H16L(15), C8H17L(49); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C8H16L(15)<=>C4H8(157)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4912; RMG #69393
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(56); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10R(90)<=>C4H8(157)+C6H11R(56) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4913; RMG #69399
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(171), C6H11R(56); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H10R(171)<=>C4H8(157)+C6H11R(56) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4914; RMG #69408
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(77), C5H9L(57); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C5H8L(77)<=>C4H8(157)+C5H9L(57) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4915; RMG #69412
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(89), C5H9L(57); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C5H8L(89)<=>C4H8(157)+C5H9L(57) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4916; RMG #69421
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+[CH2]C(C)C(399)<=>C3H5R(58)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4917; RMG #69430
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+[CH2]C(C)C(399)<=>C3H5L(59)+C4H8(157) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #4918; RMG #69437
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+[CH2]C(C)C(399)<=>C4H7R(60)+C4H8(157) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #4919; RMG #69439
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+[CH2]C(C)C(399)<=>C4H7R(60)+C4H8(157) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4920; RMG #69446
-! Library reaction: restart_edge
-! Flux pairs: C8H14L(112), C8H15L(61); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C8H14L(112)<=>C4H8(157)+C8H15L(61) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4921; RMG #69467
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(62); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C7H12R(108)<=>C4H8(157)+C7H13R(62) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4922; RMG #69482
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(103), C6H11L(63); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10L(103)<=>C4H8(157)+C6H11L(63) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4923; RMG #69493
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); CH3(74), C(75);
-! Matched reaction 37 CH3_r1 + C4H9-2 <=> CH4 + C4H8-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C]
-! family: Disproportionation
-CH3(74)+[CH2]C(C)C(399)<=>C(75)+C4H8(157) 6.020000e+12 -0.320 0.000
-
-! Reaction index: Chemkin #4924; RMG #69513
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+[CH2]C(C)C(399)<=>C4H7R(81)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4925; RMG #69521
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); H(82), [H][H](83);
-! Matched reaction 36 H + C4H9-2 <=> H2 + C4H8-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C]
-! family: Disproportionation
-H(82)+[CH2]C(C)C(399)<=>[H][H](83)+C4H8(157) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4926; RMG #69523
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); H(82), [H][H](83);
-! Matched reaction 36 H + C4H9-2 <=> H2 + C4H8-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H]
-! family: Disproportionation
-H(82)+[CH2]C(C)C(399)<=>[H][H](83)+C4H8(157) 9.040000e+11 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #4927; RMG #69524
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(77), C5H9L(84); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C5H8L(77)<=>C4H8(157)+C5H9L(84) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4928; RMG #69536
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+[CH2]C(C)C(399)<=>C3H5L(86)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4929; RMG #69550
-! Library reaction: restart_edge
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C7H15(85)<=>C4H8(157)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4930; RMG #69580
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C[CH]C(94), CCC(95);
-! Matched reaction 41 C4H9-2 + C3H7 <=> C3H8 + C4H8-2 in Disproportionation/training
-! This reaction matched rate rule [Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R]
-! family: Disproportionation
-C[CH]C(94)+[CH2]C(C)C(399)<=>CCC(95)+C4H8(157) 2.560000e+13 -0.350 0.000
-
-! Reaction index: Chemkin #4931; RMG #69582
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+[CH2]C(C)C(399)<=>CCC(95)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4932; RMG #69584
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(98); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10R(90)<=>C4H8(157)+C6H11R(98) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4933; RMG #69640
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(169), C6H11L(107); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10L(169)<=>C4H8(157)+C6H11L(107) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4934; RMG #69644
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(103), C6H11L(107); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H10L(103)<=>C4H8(157)+C6H11L(107) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4935; RMG #69660
-! Library reaction: restart_edge
-! Flux pairs: C6H9(113), C6H10(110); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H9(113)<=>C4H8(157)+C6H10(110) 7.830000e+11 0.000 0.181
-
-! Reaction index: Chemkin #4936; RMG #69744
-! Library reaction: restart_edge
-! Flux pairs: C6H9(160), C6H10(116); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H9(160)<=>C4H8(157)+C6H10(116) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #4937; RMG #69746
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H10(116); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H9(114)<=>C4H8(157)+C6H10(116) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4938; RMG #69770
-! Library reaction: restart_edge
-! Flux pairs: C6H7(123), C6H8(118); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H7(123)<=>C4H8(157)+C6H8(118) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #4939; RMG #69772
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(118); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(118) 7.830000e+11 0.000 0.165
-
-! Reaction index: Chemkin #4940; RMG #69787
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(199), C7H13R(120); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C7H12R(199)<=>C4H8(157)+C7H13R(120) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4941; RMG #69793
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(120); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C7H12R(108)<=>C4H8(157)+C7H13R(120) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #4942; RMG #69801
-! Library reaction: restart_edge
-! Flux pairs: C6H7(123), C6H8(125); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H7(123)<=>C4H8(157)+C6H8(125) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #4943; RMG #69837
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+[CH2]C(C)C(399)<=>C4H8(157)+C4H8(157) 1.566000e+12 0.000 0.000
-
-! Reaction index: Chemkin #4944; RMG #71706
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), [CH2]C(C)C(399); C4H8(157), [CH2]C(C)C(399);
-! Matched reaction 2928 H + C4H8-2 <=> C4H9-7 in R_Addition_MultipleBond/training
-! This reaction matched rate rule [Cds-CsCs_Cds-HH;HJ]
-! family: R_Addition_MultipleBond
-H(82)+C4H8(157)<=>[CH2]C(C)C(399) 2.383000e+08 1.538 2.871
-
-! Reaction index: Chemkin #4945; RMG #81204
-! Library reaction: restart_edge
-! Flux pairs: C5H7(174), C5H8(173); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C5H7(174)<=>C4H8(157)+C5H8(173) 1.566000e+12 0.000 0.165
-
-! Reaction index: Chemkin #4946; RMG #87531
-! Library reaction: restart_edge
-! Flux pairs: C10H13(202), C10H14(179); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C10H13(202)<=>C4H8(157)+C10H14(179) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4947; RMG #88860
-! Library reaction: restart_edge
-! Flux pairs: C5H7(178), C5H8(180); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C5H7(178)<=>C4H8(157)+C5H8(180) 1.051630e+14 -0.550 0.000
-
-! Reaction index: Chemkin #4948; RMG #93538
-! Library reaction: restart_edge
-! Flux pairs: C5H5(189), C5H6(187); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-[CH2]C(C)C(399)+C5H5(189)<=>C4H8(157)+C5H6(187) 2.629070e+14 -0.550 0.000
-
-! Reaction index: Chemkin #4949; RMG #137697
-! Library reaction: restart_edge
-! Flux pairs: C11H15(234), C11H16(229); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C11H15(234)<=>C4H8(157)+C11H16(229) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4950; RMG #206259
-! Library reaction: restart_edge
-! Flux pairs: C12H15(323), C12H16(269); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C12H15(323)<=>C4H8(157)+C12H16(269) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4951; RMG #233859
-! Library reaction: restart_edge
-! Flux pairs: C11H13(298), C11H14(276); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C11H13(298)<=>C4H8(157)+C11H14(276) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4952; RMG #268049
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(285); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H8R(287)<=>C4H8(157)+C6H9R(285) 7.830000e+11 0.000 0.165
-
-! Reaction index: Chemkin #4953; RMG #278568
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(290); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(290) 5.258140e+13 -0.550 0.340
-
-! Reaction index: Chemkin #4954; RMG #347854
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(169), C6H11L(325); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H10L(169)<=>C4H8(157)+C6H11L(325) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4955; RMG #369908
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(199), C7H13R(330); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C7H12R(199)<=>C4H8(157)+C7H13R(330) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #4956; RMG #407513
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(65);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(65) 2.434158e-04 4.470 6.593
-
-! Reaction index: Chemkin #4957; RMG #407514
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(69);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(69) 2.434158e-04 4.470 6.593
-
-! Reaction index: Chemkin #4958; RMG #407515
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(66);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(66) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4959; RMG #407516
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(68);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(68) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4960; RMG #407517
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(72);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(72) 2.434158e-04 4.470 6.593
-
-! Reaction index: Chemkin #4961; RMG #407518
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(73);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(73) 1.630301e-04 4.810 8.490
-
-! Reaction index: Chemkin #4962; RMG #407519
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(71);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(71) 1.630301e-04 4.810 8.490
-
-! Reaction index: Chemkin #4963; RMG #407520
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(67);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(67) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4964; RMG #407521
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10L(1), C9H17LR(70);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10L(1)<=>CC(C)C(29484)+C9H17LR(70) 1.630301e-04 4.810 8.490
-
-! Reaction index: Chemkin #4965; RMG #407530
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); RC10(2), C10H20R(64);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+RC10(2)<=>CC(C)C(29484)+C10H20R(64) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4966; RMG #407539
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); LC10(3), C10H20L(76);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+LC10(3)<=>CC(C)C(29484)+C10H20L(76) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4967; RMG #407540
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+[CH2]C(C)C(399)<=>C3H4R(78)+CC(C)C(29484) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4968; RMG #407546
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)L(13), [CH2]C(C)L(4);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)L(13)+[CH2]C(C)C(399)<=>[CH2]C(C)L(4)+CC(C)C(29484) 3.260601e-04 4.810 8.490
-
-! Reaction index: Chemkin #4969; RMG #407548
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11R(17)<=>CC(C)C(29484)+C6H10R(171) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4970; RMG #407555
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H6(18), C3H5(102);
-! Estimated using an average for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+[CH2]C(C)C(399)<=>C3H5(102)+CC(C)C(29484) 2.961351e-04 4.545 4.565
-
-! Reaction index: Chemkin #4971; RMG #407573
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CR(22), [CH2]R(14);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\H2\Cs;C_rad/H2/Cs]
-! Euclidian distance = 2.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CR(22)+[CH2]C(C)C(399)<=>[CH2]R(14)+CC(C)C(29484) 1.630301e-04 4.810 8.490
-
-! Reaction index: Chemkin #4972; RMG #407575
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H9L(24)<=>CC(C)C(29484)+C5H8L(89) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4973; RMG #407582
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCL(26), C[CH]L(8);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCL(26)+[CH2]C(C)C(399)<=>C[CH]L(8)+CC(C)C(29484) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4974; RMG #407583
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCR(27), C[CH]CR(10);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCCR(27)+[CH2]C(C)C(399)<=>C[CH]CR(10)+CC(C)C(29484) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #4975; RMG #407586
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(56), C6H10R(90);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11R(56)<=>CC(C)C(29484)+C6H10R(90) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4976; RMG #407589
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(56), C6H10R(171);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11R(56)<=>CC(C)C(29484)+C6H10R(171) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #4977; RMG #407594
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(57), C5H8L(77);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H9L(57)<=>CC(C)C(29484)+C5H8L(77) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4978; RMG #407596
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(57), C5H8L(89);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H9L(57)<=>CC(C)C(29484)+C5H8L(89) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #4979; RMG #407601
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5R(58), C3H4R(78);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5R(58)+[CH2]C(C)C(399)<=>C3H4R(78)+CC(C)C(29484) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #4980; RMG #407606
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5L(59), C3H4L(147);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(59)+[CH2]C(C)C(399)<=>C3H4L(147)+CC(C)C(29484) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #4981; RMG #407610
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(60), C4H6R(224);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7R(60)+[CH2]C(C)C(399)<=>C4H6R(224)+CC(C)C(29484) 2.517000e-05 4.890 4.320
-
-! Reaction index: Chemkin #4982; RMG #407611
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+[CH2]C(C)C(399)<=>C4H6R(79)+CC(C)C(29484) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4983; RMG #407615
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C8H15L(61), C8H14L(112);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C8H15L(61)<=>CC(C)C(29484)+C8H14L(112) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4984; RMG #407626
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C7H13R(62)<=>CC(C)C(29484)+C7H12R(108) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4985; RMG #407634
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11L(63)<=>CC(C)C(29484)+C6H10L(103) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4986; RMG #407640
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); CH3(74), C(75);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 9.0
-! family: H_Abstraction
-CH3(74)+CC(C)C(29484)<=>C(75)+[CH2]C(C)C(399) 4.257000e+00 3.600 11.050
-
-! Reaction index: Chemkin #4987; RMG #407641
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); H(82), [H][H](83);
-! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 9.0
-! family: H_Abstraction
-H(82)+CC(C)C(29484)<=>[H][H](83)+[CH2]C(C)C(399) 1.701000e+07 2.210 7.500
-
-! Reaction index: Chemkin #4988; RMG #407652
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CR(20), [CH2]C(C)CR(6);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-CC(C)CR(20)+[CH2]C(C)C(399)<=>[CH2]C(C)CR(6)+CC(C)C(29484) 3.260601e-04 4.810 8.490
-
-! Reaction index: Chemkin #4989; RMG #407658
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)CR(23), C7H14R(9);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CC(C)CC(C)CR(23)<=>CC(C)C(29484)+C7H14R(9) 3.260601e-04 4.810 8.490
-
-! Reaction index: Chemkin #4990; RMG #407662
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)L(25), C6H12L(11);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CC(C)CC(C)L(25)<=>CC(C)C(29484)+C6H12L(11) 3.260601e-04 4.810 8.490
-
-! Reaction index: Chemkin #4991; RMG #407664
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H7R(81), C4H6R(79);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7R(81)+[CH2]C(C)C(399)<=>C4H6R(79)+CC(C)C(29484) 2.688723e-04 4.649 4.527
-
-! Reaction index: Chemkin #4992; RMG #407668
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H9L(84)<=>CC(C)C(29484)+C5H8L(77) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4993; RMG #407674
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCC(95), C[CH]C(94);
-! Estimated using an average for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+[CH2]C(C)C(399)<=>C[CH]C(94)+CC(C)C(29484) 1.840000e-03 4.340 7.000
-
-! Reaction index: Chemkin #4994; RMG #407675
-! Template reaction: H_Abstraction
-! Flux pairs: CC(C)C(29484), [CH2]C(C)C(399); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 9.0
-! family: H_Abstraction
-[CH2]CC(195)+CC(C)C(29484)<=>CCC(95)+[CH2]C(C)C(399) 4.890902e-04 4.810 8.490
-
-! Reaction index: Chemkin #4995; RMG #407676
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11R(98)<=>CC(C)C(29484)+C6H10R(90) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #4996; RMG #407691
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(107), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11L(107)<=>CC(C)C(29484)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #4997; RMG #407693
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(107), C6H10L(103);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11L(107)<=>CC(C)C(29484)+C6H10L(103) 2.688723e-04 4.649 4.527
-
-! Reaction index: Chemkin #4998; RMG #407698
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H10(110)<=>CC(C)C(29484)+C6H9(113) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #4999; RMG #407707
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H10(116)<=>CC(C)C(29484)+C6H9(160) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5000; RMG #407708
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H10(116)<=>CC(C)C(29484)+C6H9(114) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5001; RMG #407713
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(120), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C7H13R(120)<=>CC(C)C(29484)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #5002; RMG #407716
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(120), C7H12R(108);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C7H13R(120)<=>CC(C)C(29484)+C7H12R(108) 2.688723e-04 4.649 4.527
-
-! Reaction index: Chemkin #5003; RMG #407720
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H8(173)<=>CC(C)C(29484)+C5H7(174) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #5004; RMG #407731
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCC(C)L(16), C[CH]CC(C)L(7);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CCCC(C)L(16)<=>CC(C)C(29484)+C[CH]CC(C)L(7) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #5005; RMG #407736
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CCCC(C)CR(32), C[CH]CC(C)CR(5);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CCCC(C)CR(32)<=>CC(C)C(29484)+C[CH]CC(C)CR(5) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #5006; RMG #407741
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(L)CC(C)L(35), C5H9L2(203);
-! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CC(L)CC(C)L(35)<=>CC(C)C(29484)+C5H9L2(203) 4.868317e-04 4.470 6.593
-
-! Reaction index: Chemkin #5007; RMG #407747
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C8H17L(49), C8H16L(15);
-! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C8H17L(49)<=>CC(C)C(29484)+C8H16L(15) 2.163867e-03 4.290 7.536
-
-! Reaction index: Chemkin #5008; RMG #407751
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C3H5L(86), C3H4L(219);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H5L(86)+[CH2]C(C)C(399)<=>C3H4L(219)+CC(C)C(29484) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #5009; RMG #407758
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); CC(C)CC(C)C(87), C7H15(85);
-! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 12.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+CC(C)CC(C)C(87)<=>CC(C)C(29484)+C7H15(85) 6.521202e-04 4.810 8.490
-
-! Reaction index: Chemkin #5010; RMG #407759
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(118), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H8(118)<=>CC(C)C(29484)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5011; RMG #407760
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [2_methyl_CPD;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H8(118)<=>CC(C)C(29484)+C6H7(239) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #5012; RMG #407768
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H8(125), C6H7(123);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H8(125)<=>CC(C)C(29484)+C6H7(123) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5013; RMG #407777
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H8(157), C4H7(156);
-! Estimated using an average for rate rule [C/H3/Cd\Cs_Cd\H2;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H8(157)+[CH2]C(C)C(399)<=>C4H7(156)+CC(C)C(29484) 5.034000e-05 4.890 4.320
-
-! Reaction index: Chemkin #5014; RMG #407782
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H8(180)<=>CC(C)C(29484)+C5H7(178) 3.612000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5015; RMG #407801
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H11L(325), C6H10L(169);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H11L(325)<=>CC(C)C(29484)+C6H10L(169) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #5016; RMG #407807
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C7H13R(330), C7H12R(199);
-! Estimated using an average for rate rule [C/H/Cs2Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C7H13R(330)<=>CC(C)C(29484)+C7H12R(199) 5.520000e-04 4.340 2.200
-
-! Reaction index: Chemkin #5017; RMG #407814
-! Template reaction: R_Recombination
-! Flux pairs: C[CH]C(94), CC(C)C(29484); CH3(74), CC(C)C(29484);
-! Matched reaction 67 CH3 + C3H7-2 <=> C4H10-2 in R_Recombination/training
-! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O]
-! family: R_Recombination
-CH3(74)+C[CH]C(94)<=>CC(C)C(29484) 6.640000e+14 -0.570 0.000
-
-! Reaction index: Chemkin #5018; RMG #407816
-! Template reaction: R_Recombination
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); H(82), CC(C)C(29484);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
-! Sp-4R!H=3C_Sp-4R!H-3C
-H(82)+[CH2]C(C)C(399)<=>CC(C)C(29484) 9.174990e+13 0.115 0.000
-
-! Reaction index: Chemkin #5019; RMG #407828
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+[CH2]C(C)C(399)<=>C3H5R(12)+CC(C)C(29484) 1.225854e+27 -4.376 3.708
-
-! Reaction index: Chemkin #5020; RMG #407834
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>CC(C)C(29484)+C6H11R(17) 1.225854e+27 -4.376 3.584
-
-! Reaction index: Chemkin #5021; RMG #407836
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C_Ext-6C-R
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 2.900000e+12 0.000 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #5022; RMG #407837
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C
-[CH2]CC(195)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 1.970850e+12 -0.039 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #5023; RMG #407839
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+[CH2]C(C)C(399)<=>C3H6(18)+CC(C)C(29484) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5024; RMG #407841
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+[CH2]C(C)C(399)<=>C2H3L(19)+CC(C)C(29484) 1.225854e+27 -4.376 3.708
-
-! Reaction index: Chemkin #5025; RMG #407847
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(21); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C8H16L(15)<=>CC(C)C(29484)+C8H15L(21) 1.225854e+27 -4.376 3.584
-
-! Reaction index: Chemkin #5026; RMG #407851
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>CC(C)C(29484)+C5H9L(24) 1.225854e+27 -4.376 3.584
-
-! Reaction index: Chemkin #5027; RMG #408103
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C[CH]CC(C)CR(5)<=>CC(C)C(29484)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5028; RMG #408107
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C[CH]CC(C)L(7)<=>CC(C)C(29484)+C5H9L(57) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5029; RMG #408113
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+[CH2]C(C)C(399)<=>C3H5R(58)+CC(C)C(29484) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5030; RMG #408115
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+[CH2]C(C)C(399)<=>C3H5L(59)+CC(C)C(29484) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5031; RMG #408119
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+[CH2]C(C)C(399)<=>C4H7R(60)+CC(C)C(29484) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5032; RMG #408123
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(61); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C8H16L(15)<=>CC(C)C(29484)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5033; RMG #408127
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), C7H13R(62); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C7H14R(9)<=>CC(C)C(29484)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5034; RMG #408131
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), C6H11L(63); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H12L(11)<=>CC(C)C(29484)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5035; RMG #408485
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(118); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(118) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5036; RMG #408503
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(125); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(125) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5037; RMG #408505
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(160), C6H8(125); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)C(399)+C6H9(160)<=>CC(C)C(29484)+C6H8(125) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5038; RMG #408595
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+[CH2]C(C)C(399)<=>C4H8(157)+CC(C)C(29484) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5039; RMG #408684
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(183), C10H14(184); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C10H15(183)<=>CC(C)C(29484)+C10H14(184) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5040; RMG #408694
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C5H6(187), C5H5(189);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C5H6(187)<=>CC(C)C(29484)+C5H5(189) 2.440000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5041; RMG #408700
-! Template reaction: Disproportionation
-! Flux pairs: C5H7(178), C5H6(187); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-[CH2]C(C)C(399)+C5H7(178)<=>CC(C)C(29484)+C5H6(187) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5042; RMG #408725
-! Template reaction: Disproportionation
-! Flux pairs: C8H13(191), C8H12(194); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C8H13(191)<=>CC(C)C(29484)+C8H12(194) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5043; RMG #408919
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H12(201); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C10H13(202)<=>CC(C)C(29484)+C10H12(201) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5044; RMG #409197
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H8(290)<=>CC(C)C(29484)+C6H7(239) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5045; RMG #409207
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(240); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C10H14R(316)<=>CC(C)C(29484)+C10H13R(240) 1.225854e+27 -4.376 3.590
-
-! Reaction index: Chemkin #5046; RMG #409229
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(283), C12H14(244); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C12H15(283)<=>CC(C)C(29484)+C12H14(244) 1.225854e+27 -4.376 6.154
-
-! Reaction index: Chemkin #5047; RMG #409275
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H6(252); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H7(239)<=>CC(C)C(29484)+C6H6(252) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5048; RMG #409279
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H6(252); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C6H7(123)<=>CC(C)C(29484)+C6H6(252) 1.225854e+27 -4.376 6.210
-
-! Reaction index: Chemkin #5049; RMG #409345
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(89), C5H7L(262); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C5H8L(89)<=>CC(C)C(29484)+C5H7L(262) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5050; RMG #409351
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(77), C5H7L(262); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C5H8L(77)<=>CC(C)C(29484)+C5H7L(262) 1.225854e+27 -4.376 5.437
-
-! Reaction index: Chemkin #5051; RMG #409662
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(256), C11H14(271); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H15(256)<=>CC(C)C(29484)+C11H14(271) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5052; RMG #409675
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(260), C9H12(272); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C9H13(260)<=>CC(C)C(29484)+C9H12(272) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5053; RMG #409743
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(226), C11H14(278); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H15(226)<=>CC(C)C(29484)+C11H14(278) 1.225854e+27 -4.376 6.154
-
-! Reaction index: Chemkin #5054; RMG #409784
-! Template reaction: H_Abstraction
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H9R(285)<=>CC(C)C(29484)+C6H8R(287) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #5055; RMG #409799
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(285); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H10R(90)<=>CC(C)C(29484)+C6H9R(285) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5056; RMG #409828
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(290); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C6H9(114)<=>CC(C)C(29484)+C6H8(290) 1.225854e+27 -4.376 6.100
-
-! Reaction index: Chemkin #5057; RMG #410198
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H12(329); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C11H13(298)<=>CC(C)C(29484)+C11H12(329) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5058; RMG #80552
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H8(173), C11H17(10750); C6H9(113), C11H17(10750);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H8(173)+C6H9(113)<=>C11H17(10750) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #5059; RMG #144069
-! Library reaction: restart_edge
-! Flux pairs: C3H4R(78), C9H11R(18276); C6H7(239), C9H11R(18276);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C3H4R(78)+C6H7(239)<=>C9H11R(18276) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5060; RMG #275477
-! Library reaction: restart_edge
-! Flux pairs: C3H5(102), C9H13R(24328); C6H8R(287), C9H13R(24328);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H8R(287)<=>C9H13R(24328) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5061; RMG #144329
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18381); C6H9(113), C12H16(18381);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(18381) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5062; RMG #144192
-! Library reaction: restart_edge
-! Flux pairs: C3H5(102), C9H12(18323); C6H7(239), C9H12(18323);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H7(239)<=>C9H12(18323) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5063; RMG #322094
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C9H13(311); C9H12(18323), C9H13(311);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H12(18323)<=>C9H13(311) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #5064; RMG #424319
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(65)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616
-
-! Reaction index: Chemkin #5065; RMG #424325
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(69)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616
-
-! Reaction index: Chemkin #5066; RMG #424331
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(66)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5067; RMG #424337
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(68)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5068; RMG #424343
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(72)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.616
-
-! Reaction index: Chemkin #5069; RMG #424349
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(73)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5070; RMG #424355
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(71)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5071; RMG #424361
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(67)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5072; RMG #424367
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C9H17LR(70)<=>C9H12(18323)+RC10L(1) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5073; RMG #424421
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C10H20R(64)<=>C9H12(18323)+RC10(2) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5074; RMG #424475
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C10H20L(76)<=>C9H12(18323)+LC10(3) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5075; RMG #424481
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H13(311)<=>C3H5R(12)+C9H12(18323) 1.225854e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5076; RMG #424521
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C9H13(311)<=>CC(C)L(13)+C9H12(18323) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5077; RMG #424533
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H13(311)<=>C6H11R(17)+C9H12(18323) 1.225854e+27 -4.376 7.050
-
-! Reaction index: Chemkin #5078; RMG #424579
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C9H13(311)<=>C3H6(18)+C9H12(18323) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5079; RMG #424653
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C9H13(311)<=>CC(C)CR(20)+C9H12(18323) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5080; RMG #424723
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C9H13(311)<=>CR(22)+C9H12(18323) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5081; RMG #424759
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C9H13(311)<=>CC(C)CC(C)CR(23)+C9H12(18323) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5082; RMG #424771
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H13(311)<=>C5H9L(24)+C9H12(18323) 1.225854e+27 -4.376 7.050
-
-! Reaction index: Chemkin #5083; RMG #424829
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C9H13(311)<=>CC(C)CC(C)L(25)+C9H12(18323) 1.225854e+27 -4.376 3.834
-
-! Reaction index: Chemkin #5084; RMG #424847
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H13(311)<=>CCL(26)+C9H12(18323) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5085; RMG #424853
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H13(311)<=>CCCR(27)+C9H12(18323) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5086; RMG #424871
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H13(311)<=>C6H11R(56)+C9H12(18323) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #5087; RMG #424889
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H13(311)<=>C6H11R(56)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5088; RMG #424923
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H13(311)<=>C5H9L(57)+C9H12(18323) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #5089; RMG #424935
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H13(311)<=>C5H9L(57)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5090; RMG #424969
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H13(311)<=>C3H5R(58)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5091; RMG #425003
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C9H13(311)<=>C3H5L(59)+C9H12(18323) 2.451708e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5092; RMG #425031
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C9H13(311)<=>C4H7R(60)+C9H12(18323) 2.451708e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5093; RMG #425037
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H13(311)<=>C4H7R(60)+C9H12(18323) 1.225854e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5094; RMG #425065
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C9H13(311)<=>C8H15L(61)+C9H12(18323) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #5095; RMG #425135
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H13(311)<=>C7H13R(62)+C9H12(18323) 1.225854e+27 -4.376 7.050
-
-! Reaction index: Chemkin #5096; RMG #425187
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H13(311)<=>C6H11L(63)+C9H12(18323) 1.225854e+27 -4.376 7.050
-
-! Reaction index: Chemkin #5097; RMG #425227
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C9H13(311)<=>C(75)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5098; RMG #425233
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H13(311)<=>C4H7R(81)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5099; RMG #425261
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C9H13(311)<=>[H][H](83)+C9H12(18323) 2.169000e+13 0.000 2.559
-
-! Reaction index: Chemkin #5100; RMG #425267
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H13(311)<=>C5H9L(84)+C9H12(18323) 1.225854e+27 -4.376 7.038
-
-! Reaction index: Chemkin #5101; RMG #425307
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C9H13(311)<=>C3H5L(86)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5102; RMG #425397
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C9H13(311)<=>CCC(95)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5103; RMG #425403
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C9H13(311)<=>CCC(95)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5104; RMG #425409
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H13(311)<=>C6H11R(98)+C9H12(18323) 1.225854e+27 -4.376 7.038
-
-! Reaction index: Chemkin #5105; RMG #425511
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H13(311)<=>C6H11L(107)+C9H12(18323) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #5106; RMG #425523
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H13(311)<=>C6H11L(107)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5107; RMG #425557
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C9H13(311)<=>C6H10(110)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5108; RMG #425619
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C9H13(311)<=>C6H10(116)+C9H12(18323) 2.451708e+27 -4.376 7.628
-
-! Reaction index: Chemkin #5109; RMG #425625
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H13(311)<=>C6H10(116)+C9H12(18323) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #5110; RMG #425659
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H13(311)<=>C6H8(118)+C9H12(18323) 2.451708e+27 -4.376 7.020
-
-! Reaction index: Chemkin #5111; RMG #425665
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(311)<=>C6H8(118)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5112; RMG #425721
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H13(311)<=>C7H13R(120)+C9H12(18323) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #5113; RMG #425739
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H13(311)<=>C7H13R(120)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #5114; RMG #425767
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H13(311)<=>C6H8(125)+C9H12(18323) 2.451708e+27 -4.376 7.102
-
-! Reaction index: Chemkin #5115; RMG #425829
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C9H13(311)<=>C4H8(157)+C9H12(18323) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5116; RMG #425857
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C9H13(311)<=>C5H8(173)+C9H12(18323) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5117; RMG #425925
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C9H13(311)<=>C5H8(180)+C9H12(18323) 2.451708e+27 -4.376 7.628
-
-! Reaction index: Chemkin #5118; RMG #426021
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H13(311)<=>C6H9R(285)+C9H12(18323) 1.225854e+27 -4.376 8.206
-
-! Reaction index: Chemkin #5119; RMG #426273
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H13(311)<=>CCCC(C)L(16)+C9H12(18323) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5120; RMG #426643
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H13(311)<=>CCCC(C)CR(32)+C9H12(18323) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5121; RMG #426757
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C9H13(311)<=>CC(L)CC(C)L(35)+C9H12(18323) 1.225854e+27 -4.376 4.616
-
-! Reaction index: Chemkin #5122; RMG #427255
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H13(311)<=>C8H17L(49)+C9H12(18323) 1.225854e+27 -4.376 4.274
-
-! Reaction index: Chemkin #5123; RMG #427479
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C9H13(311)<=>CC(C)CC(C)C(87)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5124; RMG #428427
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C10H13(202)<=>C9H12(18323)+C10H14(179) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5125; RMG #428563
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C9H13(311)<=>C5H6(187)+C9H12(18323) 6.129270e+27 -4.376 7.003
-
-! Reaction index: Chemkin #5126; RMG #429435
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C11H15(234)<=>C9H12(18323)+C11H16(229) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #5127; RMG #430377
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(311)<=>C6H8(290)+C9H12(18323) 1.225854e+27 -4.376 9.038
-
-! Reaction index: Chemkin #5128; RMG #430485
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H13(311)<=>C6H11L(325)+C9H12(18323) 1.225854e+27 -4.376 7.402
-
-! Reaction index: Chemkin #5129; RMG #430585
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H13(311)<=>C7H13R(330)+C9H12(18323) 1.225854e+27 -4.376 7.402
-
-! Reaction index: Chemkin #5130; RMG #430751
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C9H13(311)<=>CC(C)C(29484)+C9H12(18323) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5131; RMG #144326
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18379); C6H9(113), C12H16(18379);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(18379) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5132; RMG #437115
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C12H15(323)<=>C9H12(18323)+C12H16(269) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5133; RMG #437999
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C11H13(298)<=>C9H12(18323)+C11H14(276) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5134; RMG #144324
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18378); C6H9(113), C12H16(18378);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(18378) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5135; RMG #144321
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18376); C6H9(113), C12H16(18376);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(18376) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5136; RMG #144319
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18375); C6H9(113), C12H16(18375);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(113)<=>C12H16(18375) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5137; RMG #143561
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C2H3L(19), C8H10L(18195); C6H7(239), C8H10L(18195);
-! Estimated using template [Cds-HH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C2H3L(19)+C6H7(239)<=>C8H10L(18195) 6.550000e+02 2.620 10.900
-
-! Reaction index: Chemkin #5138; RMG #451247
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C8H10L(18195), C8H10L(30674);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C8H10L(18195)<=>C8H10L(30674) 1.260000e+11 0.160 6.026
-
-! Reaction index: Chemkin #5139; RMG #144327
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18380); C6H9(113), C12H16(18380);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C6H7(239)+C6H9(113)<=>C12H16(18380) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5140; RMG #196582
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C12H17(266); C12H16(18380), C12H17(266);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C12H16(18380)<=>C12H17(266) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #5141; RMG #451304
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5142; RMG #451312
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5143; RMG #451320
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5144; RMG #451328
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5145; RMG #451336
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5146; RMG #451344
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5147; RMG #451352
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5148; RMG #451360
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5149; RMG #451368
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C12H17(266)<=>RC10L(1)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5150; RMG #451440
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C12H17(266)<=>RC10(2)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5151; RMG #451512
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C12H17(266)<=>LC10(3)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5152; RMG #451520
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H17(266)<=>C3H5R(12)+C12H16(18380) 1.225854e+27 -4.376 9.405
-
-! Reaction index: Chemkin #5153; RMG #451572
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C12H17(266)<=>CC(C)L(13)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5154; RMG #451596
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H17(266)<=>CCCC(C)L(16)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5155; RMG #451628
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H17(266)<=>C6H11R(17)+C12H16(18380) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5156; RMG #451688
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C12H17(266)<=>C3H6(18)+C12H16(18380) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5157; RMG #451784
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C12H17(266)<=>CC(C)CR(20)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5158; RMG #451876
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C12H17(266)<=>CR(22)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5159; RMG #451924
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C12H17(266)<=>CC(C)CC(C)CR(23)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5160; RMG #451940
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H17(266)<=>C5H9L(24)+C12H16(18380) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5161; RMG #452016
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C12H17(266)<=>CC(C)CC(C)L(25)+C12H16(18380) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5162; RMG #452040
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H17(266)<=>CCL(26)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5163; RMG #452048
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H17(266)<=>CCCR(27)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5164; RMG #452088
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H17(266)<=>CCCC(C)CR(32)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5165; RMG #452120
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H17(266)<=>C6H11R(56)+C12H16(18380) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5166; RMG #452144
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H17(266)<=>C6H11R(56)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5167; RMG #452188
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H17(266)<=>C5H9L(57)+C12H16(18380) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5168; RMG #452204
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H17(266)<=>C5H9L(57)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5169; RMG #452248
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H17(266)<=>C3H5R(58)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5170; RMG #452292
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C12H17(266)<=>C3H5L(59)+C12H16(18380) 2.451708e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5171; RMG #452328
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C12H17(266)<=>C4H7R(60)+C12H16(18380) 2.451708e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5172; RMG #452336
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H17(266)<=>C4H7R(60)+C12H16(18380) 1.225854e+27 -4.376 9.405
-
-! Reaction index: Chemkin #5173; RMG #452372
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C12H17(266)<=>C8H15L(61)+C12H16(18380) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5174; RMG #452464
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H17(266)<=>C7H13R(62)+C12H16(18380) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5175; RMG #452532
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H17(266)<=>C6H11L(63)+C12H16(18380) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5176; RMG #452584
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C12H17(266)<=>C(75)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5177; RMG #452592
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H17(266)<=>C4H7R(81)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5178; RMG #452628
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C12H17(266)<=>[H][H](83)+C12H16(18380) 2.169000e+13 0.000 4.043
-
-! Reaction index: Chemkin #5179; RMG #452636
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H17(266)<=>C5H9L(84)+C12H16(18380) 1.225854e+27 -4.376 9.545
-
-! Reaction index: Chemkin #5180; RMG #452688
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C12H17(266)<=>C3H5L(86)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5181; RMG #452804
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C12H17(266)<=>CCC(95)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5182; RMG #452812
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C12H17(266)<=>CCC(95)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5183; RMG #452820
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H17(266)<=>C6H11R(98)+C12H16(18380) 1.225854e+27 -4.376 9.545
-
-! Reaction index: Chemkin #5184; RMG #452952
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H17(266)<=>C6H11L(107)+C12H16(18380) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5185; RMG #452968
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H17(266)<=>C6H11L(107)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5186; RMG #453012
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C12H17(266)<=>C6H10(110)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5187; RMG #453092
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C12H17(266)<=>C6H10(116)+C12H16(18380) 2.451708e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5188; RMG #453100
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H17(266)<=>C6H10(116)+C12H16(18380) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5189; RMG #453144
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H17(266)<=>C6H8(118)+C12H16(18380) 2.451708e+27 -4.376 9.523
-
-! Reaction index: Chemkin #5190; RMG #453152
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H17(266)<=>C6H8(118)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5191; RMG #453224
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H17(266)<=>C7H13R(120)+C12H16(18380) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5192; RMG #453248
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H17(266)<=>C7H13R(120)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5193; RMG #453284
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H17(266)<=>C6H8(125)+C12H16(18380) 2.451708e+27 -4.376 9.622
-
-! Reaction index: Chemkin #5194; RMG #453364
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C12H17(266)<=>C4H8(157)+C12H16(18380) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5195; RMG #453444
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C12H17(266)<=>C5H8(173)+C12H16(18380) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5196; RMG #453532
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C12H17(266)<=>C5H8(180)+C12H16(18380) 2.451708e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5197; RMG #453558
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C12H17(266)<=>C5H6(187)+C12H16(18380) 6.129270e+27 -4.376 9.503
-
-! Reaction index: Chemkin #5198; RMG #453772
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H17(266)<=>C6H9R(285)+C12H16(18380) 1.225854e+27 -4.376 10.947
-
-! Reaction index: Chemkin #5199; RMG #453852
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H17(266)<=>C6H8(290)+C12H16(18380) 1.225854e+27 -4.376 11.938
-
-! Reaction index: Chemkin #5200; RMG #453924
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H17(266)<=>C6H11L(325)+C12H16(18380) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #5201; RMG #453976
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H17(266)<=>C7H13R(330)+C12H16(18380) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #5202; RMG #454044
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C12H17(266)<=>CC(C)C(29484)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5203; RMG #454177
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C12H17(266)<=>CC(L)CC(C)L(35)+C12H16(18380) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5204; RMG #454449
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H17(266)<=>C8H17L(49)+C12H16(18380) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5205; RMG #454550
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C12H17(266)<=>CC(C)CC(C)C(87)+C12H16(18380) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5206; RMG #144322
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18377); C6H9(113), C12H16(18377);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C6H7(239)+C6H9(113)<=>C12H16(18377) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5207; RMG #144316
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18374); C6H9(113), C12H16(18374);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C6H7(239)+C6H9(113)<=>C12H16(18374) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5208; RMG #143432
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(65), RC10L(1); C6H8(18175), C6H7(239);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(65)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #5209; RMG #143433
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(69), RC10L(1); C6H8(18175), C6H7(239);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(69)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #5210; RMG #143434
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(66)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5211; RMG #143435
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(68)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5212; RMG #143436
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(72), RC10L(1); C6H8(18175), C6H7(239);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(72)<=>C6H7(239)+RC10L(1) 3.832000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #5213; RMG #143437
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(73)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5214; RMG #143438
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(71)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5215; RMG #143439
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(67)<=>C6H7(239)+RC10L(1) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5216; RMG #143440
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C9H17LR(70)<=>C6H7(239)+RC10L(1) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5217; RMG #143457
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C10H20R(64)<=>C6H7(239)+RC10(2) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5218; RMG #143482
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C10H20L(76)<=>C6H7(239)+LC10(3) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5219; RMG #143493
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H7(239)<=>C2H3L(19)+C6H8(18175) 1.225850e+27 -4.376 10.232
-
-! Reaction index: Chemkin #5220; RMG #143500
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C3H4R(78), C3H5R(12);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(18175)<=>C3H5R(12)+C6H7(239) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5221; RMG #143511
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H8(18175)<=>CC(C)L(13)+C6H7(239) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5222; RMG #143519
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H8(18175)<=>CCCC(C)L(16)+C6H7(239) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5223; RMG #143534
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10R(171)<=>C6H7(239)+C6H11R(17) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5224; RMG #143551
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C3H5(102), C3H6(18);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C3H5(102)+C6H8(18175)<=>C3H6(18)+C6H7(239) 1.544000e-02 4.340 6.700
-
-! Reaction index: Chemkin #5225; RMG #143574
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H8(18175)<=>CC(C)CR(20)+C6H7(239) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5226; RMG #143607
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]R(14)+C6H8(18175)<=>CR(22)+C6H7(239) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5227; RMG #143618
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H14R(9)<=>C6H7(239)+CC(C)CC(C)CR(23) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5228; RMG #143631
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H8L(89), C5H9L(24);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(18175)<=>C5H9L(24)+C6H7(239) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5229; RMG #143650
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H12L(11)<=>C6H7(239)+CC(C)CC(C)L(25) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5230; RMG #143658
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]L(8)+C6H8(18175)<=>CCL(26)+C6H7(239) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5231; RMG #143662
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H8(18175)<=>CCCR(27)+C6H7(239) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5232; RMG #143686
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C[CH]CC(C)CR(5)<=>C6H7(239)+CCCC(C)CR(32) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5233; RMG #143728
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H9L2(203), CC(L)CC(C)L(35);
-! From training reaction 1129 used for C/H2/CdCd;C_rad/Cs3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/Cs3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H9L2(203)+C6H8(18175)<=>CC(L)CC(C)L(35)+C6H7(239) 3.832000e-03 4.340 -2.500
-
-! Reaction index: Chemkin #5234; RMG #143851
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C8H16L(15)<=>C6H7(239)+C8H17L(49) 1.671040e-03 4.260 5.620
-
-! Reaction index: Chemkin #5235; RMG #143886
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(56); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10R(90)<=>C6H7(239)+C6H11R(56) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5236; RMG #143889
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8(18175), C6H7(239);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10R(171)<=>C6H7(239)+C6H11R(56) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5237; RMG #143905
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H8L(77), C5H9L(57);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(18175)<=>C5H9L(57)+C6H7(239) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5238; RMG #143907
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H8L(89), C5H9L(57);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8L(89)+C6H8(18175)<=>C5H9L(57)+C6H7(239) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5239; RMG #143921
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C3H4R(78), C3H5R(58);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4R(78)+C6H8(18175)<=>C3H5R(58)+C6H7(239) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5240; RMG #143932
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C3H4L(147)+C6H8(18175)<=>C3H5L(59)+C6H7(239) 1.544000e-02 4.340 6.700
-
-! Reaction index: Chemkin #5241; RMG #143940
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C4H6R(224)+C6H8(18175)<=>C4H7R(60)+C6H7(239) 1.544000e-02 4.340 6.700
-
-! Reaction index: Chemkin #5242; RMG #143941
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C4H6R(79), C4H7R(60);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(18175)<=>C4H7R(60)+C6H7(239) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5243; RMG #143956
-! Template reaction: H_Abstraction
-! Flux pairs: C8H14L(112), C8H15L(61); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C8H14L(112)<=>C6H7(239)+C8H15L(61) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5244; RMG #143982
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H12R(108)<=>C6H7(239)+C7H13R(62) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5245; RMG #144002
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10L(103)<=>C6H7(239)+C6H11L(63) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5246; RMG #144014
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); CH3(74), C(75);
-! From training reaction 1126 used for C/H2/CdCd;C_methyl
-! Exact match found for rate rule [C/H2/CdCd;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-CH3(74)+C6H8(18175)<=>C(75)+C6H7(239) 4.240000e-02 4.340 1.700
-
-! Reaction index: Chemkin #5247; RMG #144037
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H7(239)<=>C5H7L(262)+C6H8(18175) 1.225850e+27 -4.376 13.349
-
-! Reaction index: Chemkin #5248; RMG #144084
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(79)+C6H8(18175)<=>C4H7R(81)+C6H7(239) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5249; RMG #144092
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); H(82), [H][H](83);
-! From training reaction 1125 used for C/H2/CdCd;H_rad
-! Exact match found for rate rule [C/H2/CdCd;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-H(82)+C6H8(18175)<=>[H][H](83)+C6H7(239) 1.788000e+00 4.340 -0.400
-
-! Reaction index: Chemkin #5250; RMG #144098
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H8L(77), C5H9L(84);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8L(77)+C6H8(18175)<=>C5H9L(84)+C6H7(239) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5251; RMG #144113
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C3H4L(219), C3H5L(86);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(219)+C6H8(18175)<=>C3H5L(86)+C6H7(239) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5252; RMG #144126
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H15(85)<=>C6H7(239)+CC(C)CC(C)C(87) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5253; RMG #144134
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(285); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H10R(90)<=>C6H8(18175)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5254; RMG #144168
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C[CH]C(94), CCC(95);
-! From training reaction 1128 used for C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/Cs\H3/Cs\H3]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C[CH]C(94)+C6H8(18175)<=>CCC(95)+C6H7(239) 4.640000e-03 4.340 -0.400
-
-! Reaction index: Chemkin #5255; RMG #144169
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H8(18175)<=>CCC(95)+C6H7(239) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5256; RMG #144176
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10R(90)<=>C6H7(239)+C6H11R(98) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5257; RMG #144251
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(169), C6H11L(107); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10L(169)<=>C6H7(239)+C6H11L(107) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5258; RMG #144253
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10L(103)<=>C6H7(239)+C6H11L(107) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5259; RMG #144269
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C6H8(18175), C6H7(239);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H9(113)<=>C6H7(239)+C6H10(110) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5260; RMG #144337
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C6H8(18175)+C6H9(160)<=>C6H7(239)+C6H10(116) 7.848000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5261; RMG #144338
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H9(114)<=>C6H7(239)+C6H10(116) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5262; RMG #144355
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H8(118); C6H7(123), C6H7(239);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C6H7(123)+C6H8(18175)<=>C6H7(239)+C6H8(118) 3.128000e-03 4.340 8.900
-
-! Reaction index: Chemkin #5263; RMG #144356
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H8(118); C6H7(239), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H7(239)+C6H8(18175)<=>C6H7(239)+C6H8(118) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5264; RMG #144375
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(120); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H12R(199)<=>C6H7(239)+C7H13R(120) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5265; RMG #144378
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8(18175), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H12R(108)<=>C6H7(239)+C7H13R(120) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5266; RMG #144394
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H8(125); C6H7(123), C6H7(239);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C6H7(123)+C6H8(18175)<=>C6H7(239)+C6H8(125) 3.128000e-03 4.340 8.900
-
-! Reaction index: Chemkin #5267; RMG #144455
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCd;C_rad/H2/Cd] for rate rule [C/H2/CdCd;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C4H7(156)+C6H8(18175)<=>C4H8(157)+C6H7(239) 1.544000e-02 4.340 6.700
-
-! Reaction index: Chemkin #5268; RMG #144499
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H7(174), C5H8(173);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C5H7(174)+C6H8(18175)<=>C5H8(173)+C6H7(239) 1.544000e-02 4.340 6.700
-
-! Reaction index: Chemkin #5269; RMG #144526
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H7(178), C5H8(180);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 8.0
-! family: H_Abstraction
-C5H7(178)+C6H8(18175)<=>C5H8(180)+C6H7(239) 7.848000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5270; RMG #144536
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C5H5(189), C5H6(187);
-! From training reaction 3030 used for C/H2/CdCd;C_rad/H/CdCd
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 20.0
-! family: H_Abstraction
-C5H5(189)+C6H8(18175)<=>C5H6(187)+C6H7(239) 7.820000e-03 4.340 8.900
-
-! Reaction index: Chemkin #5271; RMG #144703
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H7(239)<=>C6H6(252)+C6H8(18175) 1.547940e+12 0.025 0.140
-
-! Reaction index: Chemkin #5272; RMG #147161
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H7(239)<=>C5H7L(262)+C6H8(18175) 5.258140e+13 -0.550 2.163
-
-! Reaction index: Chemkin #5273; RMG #147693
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H8(125); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(18175)+C6H8(125) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5274; RMG #147694
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H8(18175); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H9(114)<=>C6H8(290)+C6H8(18175) 1.225850e+27 -4.376 14.489
-
-! Reaction index: Chemkin #5275; RMG #147700
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H8(118); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(114)<=>C6H8(18175)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5276; RMG #148250
-! Library reaction: restart_edge
-! Flux pairs: C6H9(160), C6H8(125); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(239)+C6H9(160)<=>C6H8(18175)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5277; RMG #148514
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H7(239)<=>C5H6(187)+C6H8(18175) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5278; RMG #148549
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C10H13(202)<=>C6H7(239)+C10H14(179) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5279; RMG #149716
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C11H15(234)<=>C6H7(239)+C11H16(229) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5280; RMG #163472
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(58)+C6H8(18175) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5281; RMG #163473
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H7(239)<=>C3H5R(12)+C6H8(18175) 1.225850e+27 -4.376 10.232
-
-! Reaction index: Chemkin #5282; RMG #181713
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H7(239)<=>C6H6(252)+C6H8(18175) 1.225850e+27 -4.376 14.676
-
-! Reaction index: Chemkin #5283; RMG #205646
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H7(239)<=>C3H6(18)+C6H8(18175) 2.451710e+27 -4.376 10.101
-
-! Reaction index: Chemkin #5284; RMG #212413
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(323), C12H16(269); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C12H15(323)<=>C6H7(239)+C12H16(269) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5285; RMG #256898
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(298), C11H14(276); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C11H13(298)<=>C6H7(239)+C11H14(276) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5286; RMG #269036
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8(18175), C6H7(239);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H8R(287)<=>C6H7(239)+C6H9R(285) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #5287; RMG #279317
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H8(290); C6H7(239), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H7(239)+C6H8(18175)<=>C6H7(239)+C6H8(290) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5288; RMG #348922
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(169), C6H11L(325); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H10L(169)<=>C6H7(239)+C6H11L(325) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5289; RMG #370564
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(199), C7H13R(330); C6H8(18175), C6H7(239);
-! From training reaction 1132 used for C/H2/CdCd;C_rad/CdCs2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/CdCs2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C7H12R(199)<=>C6H7(239)+C7H13R(330) 5.000000e-04 4.340 4.600
-
-! Reaction index: Chemkin #5290; RMG #409195
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using an average for rate rule [C/H2/CdCd;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H8(18175)<=>CC(C)C(29484)+C6H7(239) 4.880000e-03 4.340 1.000
-
-! Reaction index: Chemkin #5291; RMG #465026
-! Template reaction: R_Recombination
-! Flux pairs: C6H7(239), C6H8(18175); H(82), C6H8(18175);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-3R!H-R
-H(82)+C6H7(239)<=>C6H8(18175) 1.953380e+12 0.347 0.000
-
-! Reaction index: Chemkin #5292; RMG #465191
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(18175)+C6H11R(17) 1.225854e+27 -4.376 9.998
-
-! Reaction index: Chemkin #5293; RMG #465203
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H7(239)<=>C3H6(18)+C6H8(18175) 2.105300e+14 -0.550 0.918
-
-! Reaction index: Chemkin #5294; RMG #465255
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(21); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H16L(15)<=>C6H8(18175)+C8H15L(21) 1.225854e+27 -4.376 9.998
-
-! Reaction index: Chemkin #5295; RMG #465297
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(24)+C6H8(18175) 1.225854e+27 -4.376 9.998
-
-! Reaction index: Chemkin #5296; RMG #465849
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C[CH]CC(C)CR(5)<=>C6H8(18175)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5297; RMG #465870
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H7(239)<=>C5H9L(57)+C6H8(18175) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5298; RMG #465896
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H7(239)<=>C3H5L(59)+C6H8(18175) 5.258140e+13 -0.550 0.780
-
-! Reaction index: Chemkin #5299; RMG #465911
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H7(239)<=>C4H7R(60)+C6H8(18175) 5.258140e+13 -0.550 0.780
-
-! Reaction index: Chemkin #5300; RMG #465941
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(61); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C8H16L(15)<=>C6H8(18175)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5301; RMG #465965
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), C7H13R(62); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C7H14R(9)<=>C6H8(18175)+C7H13R(62) 5.258140e+13 -0.550 0.699
-
-! Reaction index: Chemkin #5302; RMG #465986
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), C6H11L(63); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C6H12L(11)<=>C6H8(18175)+C6H11L(63) 5.258140e+13 -0.550 0.699
-
-! Reaction index: Chemkin #5303; RMG #466671
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H7(239)<=>C4H8(157)+C6H8(18175) 5.258140e+13 -0.550 0.684
-
-! Reaction index: Chemkin #5304; RMG #466871
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(183), C10H14(184); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H15(183)<=>C6H8(18175)+C10H14(184) 1.225854e+27 -4.376 13.118
-
-! Reaction index: Chemkin #5305; RMG #466950
-! Template reaction: Disproportionation
-! Flux pairs: C8H13(191), C8H12(194); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C8H13(191)<=>C6H8(18175)+C8H12(194) 1.225854e+27 -4.376 10.232
-
-! Reaction index: Chemkin #5306; RMG #467001
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H12(201); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H13(202)<=>C6H8(18175)+C10H12(201) 1.350000e+03 2.700 0.551
-
-! Reaction index: Chemkin #5307; RMG #467326
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(240); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C10H14R(316)<=>C6H8(18175)+C10H13R(240) 1.225854e+27 -4.376 10.009
-
-! Reaction index: Chemkin #5308; RMG #467383
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(283), C12H14(244); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(283)<=>C6H8(18175)+C12H14(244) 1.225854e+27 -4.376 14.581
-
-! Reaction index: Chemkin #5309; RMG #468012
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(256), C11H14(271); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(256)<=>C6H8(18175)+C11H14(271) 1.225854e+27 -4.376 13.118
-
-! Reaction index: Chemkin #5310; RMG #468054
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(260), C9H12(272); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(260)<=>C6H8(18175)+C9H12(272) 1.225854e+27 -4.376 10.232
-
-! Reaction index: Chemkin #5311; RMG #468306
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(226), C11H14(278); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(226)<=>C6H8(18175)+C11H14(278) 1.225854e+27 -4.376 14.581
-
-! Reaction index: Chemkin #5312; RMG #469358
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H12(329); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H13(298)<=>C6H8(18175)+C11H12(329) 1.350000e+03 2.700 0.551
-
-! Reaction index: Chemkin #5313; RMG #469820
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H13(311)<=>C6H8(18175)+C9H12(18323) 1.225854e+27 -4.376 10.232
-
-! Reaction index: Chemkin #5314; RMG #470036
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H17(266)<=>C6H8(18175)+C12H16(18380) 1.225854e+27 -4.376 13.349
-
-! Reaction index: Chemkin #5315; RMG #144065
-! Library reaction: restart_edge
-! Flux pairs: C3H4R(78), C9H11R(18275); C6H7(239), C9H11R(18275);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C3H4R(78)+C6H7(239)<=>C9H11R(18275) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5316; RMG #275400
-! Library reaction: restart_edge
-! Flux pairs: C3H4R(78), C9H12R2(24302); C6H8R(287), C9H12R2(24302);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C3H4R(78)+C6H8R(287)<=>C9H12R2(24302) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5317; RMG #480624
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C12H17(266)<=>C10H14(179)+C12H16(18380) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #5318; RMG #484445
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C12H17(266)<=>C11H16(229)+C12H16(18380) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5319; RMG #41367
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H9(113), C12H20L(4090); C6H11L(63), C12H20L(4090);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H9(113)+C6H11L(63)<=>C12H20L(4090) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #5320; RMG #144080
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18283); C6H7(239), C10H13R(18283);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18283) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5321; RMG #330148
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C10H14R(316); C10H13R(18283), C10H14R(316);
-! From training reaction 2933 used for Cds-CsH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C10H13R(18283)<=>C10H14R(316) 3.066000e+11 0.481 7.426
-
-! Reaction index: Chemkin #5322; RMG #495039
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(65)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5323; RMG #495045
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(69)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5324; RMG #495051
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(66)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5325; RMG #495057
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(68)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5326; RMG #495063
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(72)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5327; RMG #495069
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(73)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5328; RMG #495075
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(71)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5329; RMG #495081
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(67)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5330; RMG #495087
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(70)+C10H14R(316)<=>RC10L(1)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5331; RMG #495141
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C10H20R(64)<=>C10H13R(18283)+RC10(2) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5332; RMG #495195
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C10H20L(76)<=>C10H13R(18283)+LC10(3) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5333; RMG #495201
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H14R(316)<=>C3H5R(12)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5334; RMG #495241
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C10H14R(316)<=>CC(C)L(13)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5335; RMG #495259
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H14R(316)<=>CCCC(C)L(16)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5336; RMG #495283
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H14R(316)<=>C6H11R(17)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5337; RMG #495329
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C10H14R(316)<=>C3H6(18)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5338; RMG #495403
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C10H14R(316)<=>CC(C)CR(20)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5339; RMG #495473
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C10H14R(316)<=>CR(22)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5340; RMG #495509
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C10H14R(316)<=>CC(C)CC(C)CR(23)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5341; RMG #495521
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H14R(316)<=>C5H9L(24)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5342; RMG #495579
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C10H14R(316)<=>CC(C)CC(C)L(25)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5343; RMG #495597
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C10H14R(316)<=>CCL(26)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5344; RMG #495603
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H14R(316)<=>CCCR(27)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5345; RMG #495813
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H14R(316)<=>CCCC(C)CR(32)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5346; RMG #495903
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C10H14R(316)<=>CC(L)CC(C)L(35)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5347; RMG #496401
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H14R(316)<=>C8H17L(49)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5348; RMG #496461
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H14R(316)<=>C6H11R(56)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5349; RMG #496479
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H14R(316)<=>C6H11R(56)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5350; RMG #496513
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H14R(316)<=>C5H9L(57)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5351; RMG #496525
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H14R(316)<=>C5H9L(57)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5352; RMG #496559
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H14R(316)<=>C3H5R(58)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5353; RMG #496593
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C10H14R(316)<=>C3H5L(59)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5354; RMG #496621
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C10H14R(316)<=>C4H7R(60)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5355; RMG #496627
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H14R(316)<=>C4H7R(60)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5356; RMG #496655
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C10H14R(316)<=>C8H15L(61)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5357; RMG #496725
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H14R(316)<=>C7H13R(62)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5358; RMG #496777
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H14R(316)<=>C6H11L(63)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5359; RMG #496817
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C10H14R(316)<=>C(75)+C10H13R(18283) 1.150000e+13 -0.320 0.000
-
-! Reaction index: Chemkin #5360; RMG #496907
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H14R(316)<=>C4H7R(81)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5361; RMG #496935
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C10H14R(316)<=>[H][H](83)+C10H13R(18283) 1.191692e+10 0.568 0.000
-
-! Reaction index: Chemkin #5362; RMG #496941
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H14R(316)<=>C5H9L(84)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5363; RMG #496981
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C10H14R(316)<=>C3H5L(86)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5364; RMG #497027
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C10H14R(316)<=>CC(C)CC(C)C(87)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5365; RMG #497089
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C10H14R(316)<=>CCC(95)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5366; RMG #497095
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H14R(316)<=>CCC(95)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5367; RMG #497101
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H14R(316)<=>C6H11R(98)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5368; RMG #497285
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H14R(316)<=>C6H11L(107)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5369; RMG #497297
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H14R(316)<=>C6H11L(107)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5370; RMG #497331
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C10H14R(316)<=>C6H10(110)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5371; RMG #497623
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H14R(316)<=>C6H10(116)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5372; RMG #497629
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H14R(316)<=>C6H10(116)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5373; RMG #497709
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H14R(316)<=>C6H8(118)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5374; RMG #497715
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(316)<=>C6H8(118)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5375; RMG #497771
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H14R(316)<=>C7H13R(120)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5376; RMG #497789
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H14R(316)<=>C7H13R(120)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5377; RMG #497817
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H14R(316)<=>C6H8(125)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5378; RMG #497961
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C10H14R(316)<=>C4H8(157)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5379; RMG #498099
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C10H14R(316)<=>C5H8(173)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5380; RMG #498221
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H14(179); C10H13(202), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C10H14R(316)<=>C10H13R(18283)+C10H14(179) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5381; RMG #498317
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H14R(316)<=>C5H8(180)+C10H13R(18283) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #5382; RMG #498383
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C10H14R(316)<=>C5H6(187)+C10H13R(18283) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #5383; RMG #498873
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C11H15(234)<=>C10H13R(18283)+C11H16(229) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5384; RMG #500315
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H14R(316)<=>C6H9R(285)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5385; RMG #500447
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(316)<=>C6H8(290)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5386; RMG #500843
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H14R(316)<=>C6H11L(325)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5387; RMG #500883
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H14R(316)<=>C7H13R(330)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5388; RMG #501155
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C10H14R(316)<=>CC(C)C(29484)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5389; RMG #501573
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(316)<=>C6H8(18175)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5390; RMG #451246
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C8H10L(18195), C8H10L(30673);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C8H10L(18195)<=>C8H10L(30673) 1.260000e+11 0.160 9.310
-
-! Reaction index: Chemkin #5391; RMG #184800
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(262), C11H14L(20661); C6H7(239), C11H14L(20661);
-! Estimated using template [Cds-HH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H7L(262)+C6H7(239)<=>C11H14L(20661) 2.490000e+04 2.410 8.810
-
-! Reaction index: Chemkin #5392; RMG #502821
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C12H15(323)<=>C10H13R(18283)+C12H16(269) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5393; RMG #503037
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C11H13(298)<=>C10H13R(18283)+C11H14(276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5394; RMG #41353
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H9(113), C12H20L(4086); C6H11L(63), C12H20L(4086);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H9(113)+C6H11L(63)<=>C12H20L(4086) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #5395; RMG #144079
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18282); C6H7(239), C10H13R(18282);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18282) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5396; RMG #147698
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18680); C6H9(114), C12H16(18680);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(114)<=>C12H16(18680) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5397; RMG #276001
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H15R(24502); C6H8R(288), C12H15R(24502);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(288)<=>C12H15R(24502) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5398; RMG #41347
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H9(113), C13H22R(4084); C7H13R(62), C13H22R(4084);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H9(113)+C7H13R(62)<=>C13H22R(4084) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #5399; RMG #41331
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H9(113), C13H22R(4080); C7H13R(62), C13H22R(4080);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H9(113)+C7H13R(62)<=>C13H22R(4080) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #5400; RMG #144076
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18280); C6H7(239), C10H13R(18280);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18280) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5401; RMG #144075
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18279); C6H7(239), C10H13R(18279);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18279) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5402; RMG #144454
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H8(157), C10H15(18437); C6H7(239), C10H15(18437);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H8(157)+C6H7(239)<=>C10H15(18437) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #5403; RMG #275999
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H15R(24501); C6H8R(288), C12H15R(24501);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H8R(288)<=>C12H15R(24501) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5404; RMG #144534
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H6(187), C11H13(18468); C6H7(239), C11H13(18468);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H6(187)+C6H7(239)<=>C11H13(18468) 2.380000e+04 2.410 10.290
-
-! Reaction index: Chemkin #5405; RMG #147691
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18679); C6H9(114), C12H16(18679);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C6H7(239)+C6H9(114)<=>C12H16(18679) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5406; RMG #144352
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(18389); C6H8(118), C12H15(18389);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH]
-! Euclidian distance = 1.4142135623730951
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(118)<=>C12H15(18389) 1.190000e+04 2.410 10.290
-
-! Reaction index: Chemkin #5407; RMG #167669
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #5408; RMG #167677
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #5409; RMG #167685
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5410; RMG #167693
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5411; RMG #167701
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #5412; RMG #167709
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5413; RMG #167717
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5414; RMG #167725
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5415; RMG #167733
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C12H15(18389)<=>RC10L(1)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5416; RMG #167805
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C12H15(18389)<=>RC10(2)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5417; RMG #167877
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C12H15(18389)<=>LC10(3)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5418; RMG #167885
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H15(18389)<=>C3H5R(12)+C12H14(257) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #5419; RMG #167937
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C12H15(18389)<=>CC(C)L(13)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5420; RMG #167961
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H15(18389)<=>CCCC(C)L(16)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5421; RMG #167993
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H15(18389)<=>C6H11R(17)+C12H14(257) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #5422; RMG #168063
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C12H15(18389)<=>C3H6(18)+C12H14(257) 2.451710e+27 -4.376 9.585
-
-! Reaction index: Chemkin #5423; RMG #168159
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C12H15(18389)<=>CC(C)CR(20)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5424; RMG #168251
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C12H15(18389)<=>CR(22)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5425; RMG #168299
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C12H15(18389)<=>CC(C)CC(C)CR(23)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5426; RMG #168315
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H15(18389)<=>C5H9L(24)+C12H14(257) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #5427; RMG #168391
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C12H15(18389)<=>CC(C)CC(C)L(25)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5428; RMG #168415
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H15(18389)<=>CCL(26)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5429; RMG #168423
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H15(18389)<=>CCCR(27)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5430; RMG #168495
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H15(18389)<=>CCCC(C)CR(32)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5431; RMG #168535
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C12H15(18389)<=>CC(L)CC(C)L(35)+C12H14(257) 1.225850e+27 -4.376 7.382
-
-! Reaction index: Chemkin #5432; RMG #168751
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H15(18389)<=>C8H17L(49)+C12H14(257) 1.225850e+27 -4.376 6.922
-
-! Reaction index: Chemkin #5433; RMG #168831
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(18389)<=>C6H11R(56)+C12H14(257) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #5434; RMG #168855
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C12H15(18389)<=>C6H11R(56)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5435; RMG #168899
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(18389)<=>C5H9L(57)+C12H14(257) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #5436; RMG #168915
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C12H15(18389)<=>C5H9L(57)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5437; RMG #168959
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C12H15(18389)<=>C3H5R(58)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5438; RMG #169003
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C12H15(18389)<=>C3H5L(59)+C12H14(257) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5439; RMG #169039
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C12H15(18389)<=>C4H7R(60)+C12H14(257) 2.451710e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5440; RMG #169047
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H15(18389)<=>C4H7R(60)+C12H14(257) 1.225850e+27 -4.376 10.403
-
-! Reaction index: Chemkin #5441; RMG #169083
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C12H15(18389)<=>C8H15L(61)+C12H14(257) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #5442; RMG #169175
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H15(18389)<=>C7H13R(62)+C12H14(257) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #5443; RMG #169243
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H15(18389)<=>C6H11L(63)+C12H14(257) 1.225850e+27 -4.376 10.568
-
-! Reaction index: Chemkin #5444; RMG #169295
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C12H15(18389)<=>C(75)+C12H14(257) 1.225850e+27 -4.376 5.492
-
-! Reaction index: Chemkin #5445; RMG #169308
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C12H15(18389)<=>C4H7R(81)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5446; RMG #169344
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C12H15(18389)<=>[H][H](83)+C12H14(257) 1.225850e+27 -4.376 5.669
-
-! Reaction index: Chemkin #5447; RMG #169354
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(18389)<=>C5H9L(84)+C12H14(257) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #5448; RMG #169406
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C12H15(18389)<=>C3H5L(86)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5449; RMG #169466
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C12H15(18389)<=>CC(C)CC(C)C(87)+C12H14(257) 1.225850e+27 -4.376 6.326
-
-! Reaction index: Chemkin #5450; RMG #169546
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C12H15(18389)<=>CCC(95)+C12H14(257) 1.225850e+27 -4.376 6.898
-
-! Reaction index: Chemkin #5451; RMG #169554
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C12H15(18389)<=>CCC(95)+C12H14(257) 1.225850e+27 -4.376 6.222
-
-! Reaction index: Chemkin #5452; RMG #169562
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(18389)<=>C6H11R(98)+C12H14(257) 1.225850e+27 -4.376 10.553
-
-! Reaction index: Chemkin #5453; RMG #169782
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H15(18389)<=>C6H11L(107)+C12H14(257) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #5454; RMG #169798
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C12H15(18389)<=>C6H11L(107)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5455; RMG #169842
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C12H15(18389)<=>C6H10(110)+C12H14(257) 1.225850e+27 -4.376 12.156
-
-! Reaction index: Chemkin #5456; RMG #169922
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C12H15(18389)<=>C6H10(116)+C12H14(257) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #5457; RMG #169930
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H15(18389)<=>C6H10(116)+C12H14(257) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #5458; RMG #169974
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H15(18389)<=>C6H8(118)+C12H14(257) 2.451710e+27 -4.376 10.529
-
-! Reaction index: Chemkin #5459; RMG #169982
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(18389)<=>C6H8(118)+C12H14(257) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #5460; RMG #170054
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H15(18389)<=>C7H13R(120)+C12H14(257) 1.225850e+27 -4.376 10.966
-
-! Reaction index: Chemkin #5461; RMG #170078
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C12H15(18389)<=>C7H13R(120)+C12H14(257) 1.225850e+27 -4.376 9.551
-
-! Reaction index: Chemkin #5462; RMG #170114
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C12H15(18389)<=>C6H8(125)+C12H14(257) 2.451710e+27 -4.376 10.634
-
-! Reaction index: Chemkin #5463; RMG #170194
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C12H15(18389)<=>C4H8(157)+C12H14(257) 2.451710e+27 -4.376 9.173
-
-! Reaction index: Chemkin #5464; RMG #170318
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C12H15(18389)<=>C5H8(173)+C12H14(257) 2.451710e+27 -4.376 12.042
-
-! Reaction index: Chemkin #5465; RMG #170406
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C12H15(18389)<=>C5H8(180)+C12H14(257) 2.451710e+27 -4.376 11.307
-
-! Reaction index: Chemkin #5466; RMG #170432
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C12H15(18389)<=>C5H6(187)+C12H14(257) 6.129270e+27 -4.376 10.507
-
-! Reaction index: Chemkin #5467; RMG #176204
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C12H15(18389)<=>C10H14(179)+C12H14(257) 1.225850e+27 -4.376 11.386
-
-! Reaction index: Chemkin #5468; RMG #178959
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C12H15(18389)<=>C11H16(229)+C12H14(257) 1.225850e+27 -4.376 11.307
-
-! Reaction index: Chemkin #5469; RMG #269379
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H15(18389)<=>C6H9R(285)+C12H14(257) 1.225850e+27 -4.376 12.042
-
-! Reaction index: Chemkin #5470; RMG #280797
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(18389)<=>C6H8(290)+C12H14(257) 1.225850e+27 -4.376 13.090
-
-! Reaction index: Chemkin #5471; RMG #349227
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C12H15(18389)<=>C6H11L(325)+C12H14(257) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #5472; RMG #372018
-! Library reaction: restart_edge
-! Flux pairs: C12H15(18389), C12H14(257); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C12H15(18389)<=>C7H13R(330)+C12H14(257) 1.225850e+27 -4.376 11.018
-
-! Reaction index: Chemkin #5473; RMG #409311
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H14(257); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C12H15(18389)<=>CC(C)C(29484)+C12H14(257) 1.225854e+27 -4.376 6.154
-
-! Reaction index: Chemkin #5474; RMG #467618
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H14(257); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C12H15(18389)<=>C6H8(18175)+C12H14(257) 1.225854e+27 -4.376 14.581
-
-! Reaction index: Chemkin #5475; RMG #560490
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C12H14(257), C12H15(18389); H(82), C12H15(18389);
-! From training reaction 2545 used for Cds-HH_Cds-CdCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C12H14(257)<=>C12H15(18389) 2.580000e+08 1.640 -0.720
-
-! Reaction index: Chemkin #5476; RMG #82738
-! Library reaction: restart_edge
-! Flux pairs: C5H7(174), C11H16(11281); C6H9(113), C11H16(11281);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H9(113)<=>C11H16(11281) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5477; RMG #89008
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C11H17(181); C11H16(11281), C11H17(181);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H16(11281)<=>C11H17(181) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #5478; RMG #143424
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C11H17(238); C11H16(11281), C11H17(238);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H16(11281)<=>C11H17(238) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #5479; RMG #565947
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5480; RMG #565948
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5481; RMG #565955
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5482; RMG #565956
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5483; RMG #565963
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5484; RMG #565964
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5485; RMG #565971
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5486; RMG #565972
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5487; RMG #565979
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5488; RMG #565980
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5489; RMG #565987
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5490; RMG #565988
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5491; RMG #565995
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5492; RMG #565996
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5493; RMG #566003
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5494; RMG #566004
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5495; RMG #566011
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H17(238)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5496; RMG #566012
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H17(181)<=>RC10L(1)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5497; RMG #566083
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H17(238)<=>RC10(2)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5498; RMG #566084
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H17(181)<=>RC10(2)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5499; RMG #566155
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H17(238)<=>LC10(3)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5500; RMG #566156
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H17(181)<=>LC10(3)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5501; RMG #566163
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(238)<=>C3H5R(12)+C11H16(11281) 1.225854e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5502; RMG #566164
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(181)<=>C3H5R(12)+C11H16(11281) 1.225854e+27 -4.376 9.405
-
-! Reaction index: Chemkin #5503; RMG #566215
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H17(238)<=>CC(C)L(13)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5504; RMG #566216
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H17(181)<=>CC(C)L(13)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5505; RMG #566239
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H17(238)<=>CCCC(C)L(16)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5506; RMG #566240
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H17(181)<=>CCCC(C)L(16)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5507; RMG #566271
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(238)<=>C6H11R(17)+C11H16(11281) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5508; RMG #566272
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(181)<=>C6H11R(17)+C11H16(11281) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5509; RMG #566331
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H17(238)<=>C3H6(18)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5510; RMG #566332
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H17(181)<=>C3H6(18)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5511; RMG #566427
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H17(238)<=>CC(C)CR(20)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5512; RMG #566428
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H17(181)<=>CC(C)CR(20)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5513; RMG #566519
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H17(238)<=>CR(22)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5514; RMG #566520
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H17(181)<=>CR(22)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5515; RMG #566567
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H17(238)<=>CC(C)CC(C)CR(23)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5516; RMG #566568
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H17(181)<=>CC(C)CC(C)CR(23)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5517; RMG #566583
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(238)<=>C5H9L(24)+C11H16(11281) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5518; RMG #566584
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(181)<=>C5H9L(24)+C11H16(11281) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5519; RMG #566659
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H17(238)<=>CC(C)CC(C)L(25)+C11H16(11281) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5520; RMG #566660
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H17(181)<=>CC(C)CC(C)L(25)+C11H16(11281) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #5521; RMG #566683
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H17(238)<=>CCL(26)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5522; RMG #566684
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H17(181)<=>CCL(26)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5523; RMG #566691
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H17(238)<=>CCCR(27)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5524; RMG #566692
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H17(181)<=>CCCR(27)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5525; RMG #566763
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H17(238)<=>CCCC(C)CR(32)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5526; RMG #566764
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H17(181)<=>CCCC(C)CR(32)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5527; RMG #566883
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H17(238)<=>CC(L)CC(C)L(35)+C11H16(11281) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5528; RMG #566884
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H17(181)<=>CC(L)CC(C)L(35)+C11H16(11281) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #5529; RMG #567155
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H17(238)<=>C8H17L(49)+C11H16(11281) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5530; RMG #567156
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H17(181)<=>C8H17L(49)+C11H16(11281) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #5531; RMG #567235
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(238)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5532; RMG #567236
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(181)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5533; RMG #567259
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(238)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5534; RMG #567260
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(181)<=>C6H11R(56)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5535; RMG #567303
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(238)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5536; RMG #567304
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(181)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5537; RMG #567319
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(238)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5538; RMG #567320
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(181)<=>C5H9L(57)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5539; RMG #567363
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(238)<=>C3H5R(58)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5540; RMG #567364
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(181)<=>C3H5R(58)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5541; RMG #567407
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H17(238)<=>C3H5L(59)+C11H16(11281) 2.451708e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5542; RMG #567408
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H17(181)<=>C3H5L(59)+C11H16(11281) 2.451708e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5543; RMG #567443
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H17(238)<=>C4H7R(60)+C11H16(11281) 2.451708e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5544; RMG #567444
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H17(181)<=>C4H7R(60)+C11H16(11281) 2.451708e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5545; RMG #567451
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(238)<=>C4H7R(60)+C11H16(11281) 1.225854e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5546; RMG #567452
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(181)<=>C4H7R(60)+C11H16(11281) 1.225854e+27 -4.376 9.405
-
-! Reaction index: Chemkin #5547; RMG #567487
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H17(238)<=>C8H15L(61)+C11H16(11281) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5548; RMG #567488
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H17(181)<=>C8H15L(61)+C11H16(11281) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5549; RMG #567579
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(238)<=>C7H13R(62)+C11H16(11281) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5550; RMG #567580
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(181)<=>C7H13R(62)+C11H16(11281) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5551; RMG #567647
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(238)<=>C6H11L(63)+C11H16(11281) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5552; RMG #567648
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(181)<=>C6H11L(63)+C11H16(11281) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #5553; RMG #567699
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H17(238)<=>C(75)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5554; RMG #567700
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H17(181)<=>C(75)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5555; RMG #567707
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(238)<=>C4H7R(81)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5556; RMG #567708
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(181)<=>C4H7R(81)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5557; RMG #567743
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H17(238)<=>[H][H](83)+C11H16(11281) 2.169000e+13 0.000 3.928
-
-! Reaction index: Chemkin #5558; RMG #567744
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H17(181)<=>[H][H](83)+C11H16(11281) 2.169000e+13 0.000 4.043
-
-! Reaction index: Chemkin #5559; RMG #567751
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(238)<=>C5H9L(84)+C11H16(11281) 1.225854e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5560; RMG #567752
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(181)<=>C5H9L(84)+C11H16(11281) 1.225854e+27 -4.376 9.545
-
-! Reaction index: Chemkin #5561; RMG #567803
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H17(238)<=>C3H5L(86)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5562; RMG #567804
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H17(181)<=>C3H5L(86)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5563; RMG #567863
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H17(238)<=>CC(C)CC(C)C(87)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5564; RMG #567864
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H17(181)<=>CC(C)CC(C)C(87)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5565; RMG #567943
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H17(238)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5566; RMG #567944
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H17(181)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5567; RMG #567951
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H17(238)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5568; RMG #567952
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H17(181)<=>CCC(95)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5569; RMG #567959
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(238)<=>C6H11R(98)+C11H16(11281) 1.225854e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5570; RMG #567960
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(181)<=>C6H11R(98)+C11H16(11281) 1.225854e+27 -4.376 9.545
-
-! Reaction index: Chemkin #5571; RMG #568179
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(238)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5572; RMG #568180
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(181)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5573; RMG #568195
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(238)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5574; RMG #568196
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(181)<=>C6H11L(107)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5575; RMG #568239
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H17(238)<=>C6H10(110)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5576; RMG #568240
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H17(181)<=>C6H10(110)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5577; RMG #568407
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H17(238)<=>C6H10(116)+C11H16(11281) 2.451708e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5578; RMG #568408
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H17(181)<=>C6H10(116)+C11H16(11281) 2.451708e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5579; RMG #568415
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H17(238)<=>C6H10(116)+C11H16(11281) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5580; RMG #568416
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H17(181)<=>C6H10(116)+C11H16(11281) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5581; RMG #568459
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(238)<=>C6H8(118)+C11H16(11281) 2.451708e+27 -4.376 9.335
-
-! Reaction index: Chemkin #5582; RMG #568460
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(181)<=>C6H8(118)+C11H16(11281) 2.451708e+27 -4.376 9.523
-
-! Reaction index: Chemkin #5583; RMG #568467
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(238)<=>C6H8(118)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5584; RMG #568468
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(181)<=>C6H8(118)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5585; RMG #568539
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(238)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5586; RMG #568540
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(181)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #5587; RMG #568563
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(238)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5588; RMG #568564
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(181)<=>C7H13R(120)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #5589; RMG #568599
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(238)<=>C6H8(125)+C11H16(11281) 2.451708e+27 -4.376 9.433
-
-! Reaction index: Chemkin #5590; RMG #568600
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(181)<=>C6H8(125)+C11H16(11281) 2.451708e+27 -4.376 9.622
-
-! Reaction index: Chemkin #5591; RMG #568679
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H17(238)<=>C4H8(157)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5592; RMG #568680
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H17(181)<=>C4H8(157)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5593; RMG #568803
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H17(238)<=>C5H8(173)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5594; RMG #568804
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H17(181)<=>C5H8(173)+C11H16(11281) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5595; RMG #568891
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H17(238)<=>C5H8(180)+C11H16(11281) 2.451708e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5596; RMG #568892
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H17(181)<=>C5H8(180)+C11H16(11281) 2.451708e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5597; RMG #568917
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H17(238)<=>C5H6(187)+C11H16(11281) 6.129270e+27 -4.376 9.315
-
-! Reaction index: Chemkin #5598; RMG #568918
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H17(181)<=>C5H6(187)+C11H16(11281) 6.129270e+27 -4.376 9.503
-
-! Reaction index: Chemkin #5599; RMG #569249
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(238)<=>C6H9R(285)+C11H16(11281) 1.225854e+27 -4.376 10.743
-
-! Reaction index: Chemkin #5600; RMG #569250
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(181)<=>C6H9R(285)+C11H16(11281) 1.225854e+27 -4.376 10.947
-
-! Reaction index: Chemkin #5601; RMG #569329
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(238)<=>C6H8(290)+C11H16(11281) 1.225854e+27 -4.376 11.722
-
-! Reaction index: Chemkin #5602; RMG #569330
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(181)<=>C6H8(290)+C11H16(11281) 1.225854e+27 -4.376 11.938
-
-! Reaction index: Chemkin #5603; RMG #569401
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(238)<=>C6H11L(325)+C11H16(11281) 1.225854e+27 -4.376 9.790
-
-! Reaction index: Chemkin #5604; RMG #569402
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(181)<=>C6H11L(325)+C11H16(11281) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #5605; RMG #569453
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(238)<=>C7H13R(330)+C11H16(11281) 1.225854e+27 -4.376 9.790
-
-! Reaction index: Chemkin #5606; RMG #569454
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(181)<=>C7H13R(330)+C11H16(11281) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #5607; RMG #569521
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H17(238)<=>CC(C)C(29484)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5608; RMG #569522
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H17(181)<=>CC(C)C(29484)+C11H16(11281) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5609; RMG #569782
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(238)<=>C6H8(18175)+C11H16(11281) 1.225854e+27 -4.376 13.118
-
-! Reaction index: Chemkin #5610; RMG #569783
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(181)<=>C6H8(18175)+C11H16(11281) 1.225854e+27 -4.376 13.349
-
-! Reaction index: Chemkin #5611; RMG #148272
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18726); C6H9(161), C12H16(18726);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(161)<=>C12H16(18726) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5612; RMG #574365
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C11H17(238)<=>C10H14(179)+C11H16(11281) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5613; RMG #574366
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C11H17(181)<=>C10H14(179)+C11H16(11281) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #5614; RMG #575425
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C11H17(238)<=>C11H16(229)+C11H16(11281) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5615; RMG #575426
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C11H17(181)<=>C11H16(229)+C11H16(11281) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #5616; RMG #144083
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H7R(81), C10H14R(18285); C6H7(239), C10H14R(18285);
-! Estimated using template [Cds-CsH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C4H7R(81)+C6H7(239)<=>C10H14R(18285) 1.340000e+04 2.410 12.700
-
-! Reaction index: Chemkin #5617; RMG #144446
-! Library reaction: restart_edge
-! Flux pairs: C3H4L(147), C9H11L(18431); C6H7(239), C9H11L(18431);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C6H7(239)<=>C9H11L(18431) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5618; RMG #282911
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C9H12L(293); C9H11L(18431), C9H12L(293);
-! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H11L(18431)<=>C9H12L(293) 1.691000e+10 1.168 2.996
-
-! Reaction index: Chemkin #5619; RMG #577442
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(65)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481
-
-! Reaction index: Chemkin #5620; RMG #577448
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(69)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481
-
-! Reaction index: Chemkin #5621; RMG #577454
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(66)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5622; RMG #577460
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(68)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5623; RMG #577466
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(72)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.481
-
-! Reaction index: Chemkin #5624; RMG #577472
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(73)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5625; RMG #577478
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(71)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5626; RMG #577484
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(67)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5627; RMG #577490
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C9H17LR(70)<=>C9H11L(18431)+RC10L(1) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5628; RMG #577544
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C10H20R(64)<=>C9H11L(18431)+RC10(2) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5629; RMG #577598
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C10H20L(76)<=>C9H11L(18431)+LC10(3) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5630; RMG #577604
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H12L(293)<=>C3H5R(12)+C9H11L(18431) 1.225854e+27 -4.376 6.748
-
-! Reaction index: Chemkin #5631; RMG #577642
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C9H12L(293)<=>CC(C)L(13)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5632; RMG #577660
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H12L(293)<=>CCCC(C)L(16)+C9H11L(18431) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5633; RMG #577684
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H12L(293)<=>C6H11R(17)+C9H11L(18431) 1.225854e+27 -4.376 6.874
-
-! Reaction index: Chemkin #5634; RMG #577728
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C9H12L(293)<=>C3H6(18)+C9H11L(18431) 2.451708e+27 -4.376 6.124
-
-! Reaction index: Chemkin #5635; RMG #577798
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C9H12L(293)<=>CC(C)CR(20)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5636; RMG #577866
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C9H12L(293)<=>CR(22)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5637; RMG #577902
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C9H12L(293)<=>CC(C)CC(C)CR(23)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5638; RMG #577914
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H12L(293)<=>C5H9L(24)+C9H11L(18431) 1.225854e+27 -4.376 6.874
-
-! Reaction index: Chemkin #5639; RMG #577970
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C9H12L(293)<=>CC(C)CC(C)L(25)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5640; RMG #577988
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H12L(293)<=>CCL(26)+C9H11L(18431) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5641; RMG #577994
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H12L(293)<=>CCCR(27)+C9H11L(18431) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5642; RMG #578024
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H12L(293)<=>CCCC(C)CR(32)+C9H11L(18431) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5643; RMG #578054
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C9H12L(293)<=>CC(L)CC(C)L(35)+C9H11L(18431) 1.225854e+27 -4.376 4.481
-
-! Reaction index: Chemkin #5644; RMG #578180
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H12L(293)<=>C8H17L(49)+C9H11L(18431) 1.225854e+27 -4.376 4.144
-
-! Reaction index: Chemkin #5645; RMG #578234
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H12L(293)<=>C6H11R(56)+C9H11L(18431) 1.225854e+27 -4.376 7.179
-
-! Reaction index: Chemkin #5646; RMG #578252
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H12L(293)<=>C6H11R(56)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5647; RMG #578284
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H12L(293)<=>C5H9L(57)+C9H11L(18431) 1.225854e+27 -4.376 7.179
-
-! Reaction index: Chemkin #5648; RMG #578296
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H12L(293)<=>C5H9L(57)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5649; RMG #578328
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H12L(293)<=>C3H5R(58)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5650; RMG #578360
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C9H12L(293)<=>C3H5L(59)+C9H11L(18431) 2.451708e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5651; RMG #578386
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C9H12L(293)<=>C4H7R(60)+C9H11L(18431) 2.451708e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5652; RMG #578392
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H12L(293)<=>C4H7R(60)+C9H11L(18431) 1.225854e+27 -4.376 6.748
-
-! Reaction index: Chemkin #5653; RMG #578418
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C9H12L(293)<=>C8H15L(61)+C9H11L(18431) 1.225854e+27 -4.376 7.179
-
-! Reaction index: Chemkin #5654; RMG #578486
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H12L(293)<=>C7H13R(62)+C9H11L(18431) 1.225854e+27 -4.376 6.874
-
-! Reaction index: Chemkin #5655; RMG #578536
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H12L(293)<=>C6H11L(63)+C9H11L(18431) 1.225854e+27 -4.376 6.874
-
-! Reaction index: Chemkin #5656; RMG #578574
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C9H12L(293)<=>C(75)+C9H11L(18431) 1.225854e+27 -4.376 3.120
-
-! Reaction index: Chemkin #5657; RMG #578580
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H12L(293)<=>C4H7R(81)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5658; RMG #578606
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C9H12L(293)<=>[H][H](83)+C9H11L(18431) 1.225854e+27 -4.376 3.245
-
-! Reaction index: Chemkin #5659; RMG #578612
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H12L(293)<=>C5H9L(84)+C9H11L(18431) 1.225854e+27 -4.376 6.862
-
-! Reaction index: Chemkin #5660; RMG #578650
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C9H12L(293)<=>C3H5L(86)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5661; RMG #578694
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C9H12L(293)<=>CC(C)CC(C)C(87)+C9H11L(18431) 1.225854e+27 -4.376 3.713
-
-! Reaction index: Chemkin #5662; RMG #578752
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C9H12L(293)<=>CCC(95)+C9H11L(18431) 1.225854e+27 -4.376 4.127
-
-! Reaction index: Chemkin #5663; RMG #578758
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C9H12L(293)<=>CCC(95)+C9H11L(18431) 1.225854e+27 -4.376 3.639
-
-! Reaction index: Chemkin #5664; RMG #578764
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H12L(293)<=>C6H11R(98)+C9H11L(18431) 1.225854e+27 -4.376 6.862
-
-! Reaction index: Chemkin #5665; RMG #578924
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H12L(293)<=>C6H11L(107)+C9H11L(18431) 1.225854e+27 -4.376 7.179
-
-! Reaction index: Chemkin #5666; RMG #578936
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H12L(293)<=>C6H11L(107)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5667; RMG #578968
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C9H12L(293)<=>C6H10(110)+C9H11L(18431) 1.225854e+27 -4.376 8.101
-
-! Reaction index: Chemkin #5668; RMG #579026
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C9H12L(293)<=>C6H10(116)+C9H11L(18431) 2.451708e+27 -4.376 7.443
-
-! Reaction index: Chemkin #5669; RMG #579032
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H12L(293)<=>C6H10(116)+C9H11L(18431) 1.225854e+27 -4.376 7.443
-
-! Reaction index: Chemkin #5670; RMG #579064
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H12L(293)<=>C6H8(118)+C9H11L(18431) 2.451708e+27 -4.376 6.844
-
-! Reaction index: Chemkin #5671; RMG #579070
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12L(293)<=>C6H8(118)+C9H11L(18431) 1.225854e+27 -4.376 8.012
-
-! Reaction index: Chemkin #5672; RMG #579122
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H12L(293)<=>C7H13R(120)+C9H11L(18431) 1.225854e+27 -4.376 7.179
-
-! Reaction index: Chemkin #5673; RMG #579140
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H12L(293)<=>C7H13R(120)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #5674; RMG #579166
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H12L(293)<=>C6H8(125)+C9H11L(18431) 2.451708e+27 -4.376 6.924
-
-! Reaction index: Chemkin #5675; RMG #579224
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C9H12L(293)<=>C4H8(157)+C9H11L(18431) 2.451708e+27 -4.376 5.813
-
-! Reaction index: Chemkin #5676; RMG #579282
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C9H12L(293)<=>C5H8(173)+C9H11L(18431) 2.451708e+27 -4.376 8.012
-
-! Reaction index: Chemkin #5677; RMG #579346
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C9H12L(293)<=>C5H8(180)+C9H11L(18431) 2.451708e+27 -4.376 7.443
-
-! Reaction index: Chemkin #5678; RMG #579488
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H12L(293)<=>C6H9R(285)+C9H11L(18431) 1.225854e+27 -4.376 8.012
-
-! Reaction index: Chemkin #5679; RMG #579546
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12L(293)<=>C6H8(290)+C9H11L(18431) 1.225854e+27 -4.376 8.832
-
-! Reaction index: Chemkin #5680; RMG #579598
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H12L(293)<=>C6H11L(325)+C9H11L(18431) 1.225854e+27 -4.376 7.220
-
-! Reaction index: Chemkin #5681; RMG #579636
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H12L(293)<=>C7H13R(330)+C9H11L(18431) 1.225854e+27 -4.376 7.220
-
-! Reaction index: Chemkin #5682; RMG #579686
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C9H12L(293)<=>CC(C)C(29484)+C9H11L(18431) 1.225854e+27 -4.376 3.590
-
-! Reaction index: Chemkin #5683; RMG #579692
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12L(293)<=>C6H8(18175)+C9H11L(18431) 1.225854e+27 -4.376 10.009
-
-! Reaction index: Chemkin #5684; RMG #580942
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C10H13(202)<=>C9H11L(18431)+C10H14(179) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #5685; RMG #581070
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C9H12L(293)<=>C5H6(187)+C9H11L(18431) 6.129270e+27 -4.376 6.827
-
-! Reaction index: Chemkin #5686; RMG #581674
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C11H15(234)<=>C9H11L(18431)+C11H16(229) 1.225854e+27 -4.376 7.443
-
-! Reaction index: Chemkin #5687; RMG #234292
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(65)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5688; RMG #234296
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(69)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5689; RMG #234300
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(66)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5690; RMG #234304
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(68)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5691; RMG #234308
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(72)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5692; RMG #234312
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(73)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5693; RMG #234316
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(71)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5694; RMG #234320
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(67)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5695; RMG #234324
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(70)+C12H15(22038)<=>RC10L(1)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5696; RMG #234360
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H20R(64)+C12H15(22038)<=>RC10(2)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5697; RMG #234396
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H20L(76)+C12H15(22038)<=>LC10(3)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5698; RMG #234400
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C12H15(22038)<=>C3H5R(12)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5699; RMG #234426
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C12H15(22038)<=>CC(C)L(13)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5700; RMG #234438
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C12H15(22038)<=>CCCC(C)L(16)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5701; RMG #234454
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C12H15(22038)<=>C6H11R(17)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5702; RMG #234484
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C12H15(22038)<=>C3H6(18)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5703; RMG #234532
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C12H15(22038)<=>CC(C)CR(20)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5704; RMG #234578
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C12H15(22038)<=>CR(22)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5705; RMG #234602
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C12H15(22038)<=>CC(C)CC(C)CR(23)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5706; RMG #234610
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C12H15(22038)<=>C5H9L(24)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5707; RMG #234648
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C12H15(22038)<=>CC(C)CC(C)L(25)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5708; RMG #234660
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C12H15(22038)<=>CCL(26)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5709; RMG #234664
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C12H15(22038)<=>CCCR(27)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5710; RMG #234788
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C12H15(22038)<=>CCCC(C)CR(32)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5711; RMG #234878
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C12H15(22038)<=>CC(L)CC(C)L(35)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5712; RMG #235270
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C12H15(22038)<=>C8H17L(49)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5713; RMG #235310
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C12H15(22038)<=>C6H11R(56)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5714; RMG #235322
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C12H15(22038)<=>C6H11R(56)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5715; RMG #235344
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C12H15(22038)<=>C5H9L(57)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5716; RMG #235352
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C12H15(22038)<=>C5H9L(57)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5717; RMG #235374
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C12H15(22038)<=>C3H5R(58)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5718; RMG #235396
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C12H15(22038)<=>C3H5L(59)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5719; RMG #235414
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C12H15(22038)<=>C4H7R(60)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5720; RMG #235418
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C12H15(22038)<=>C4H7R(60)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5721; RMG #235436
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C12H15(22038)<=>C8H15L(61)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5722; RMG #235482
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C12H15(22038)<=>C7H13R(62)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5723; RMG #235516
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C12H15(22038)<=>C6H11L(63)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5724; RMG #235542
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C12H15(22038)<=>C(75)+C12H14(277) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #5725; RMG #235545
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C12H15(22038)<=>C(75)+C12H14(277) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #5726; RMG #235585
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C12H15(22038)<=>C4H7R(81)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5727; RMG #235603
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C12H15(22038)<=>[H][H](83)+C12H14(277) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #5728; RMG #235608
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C12H15(22038)<=>C5H9L(84)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5729; RMG #235634
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C12H15(22038)<=>C3H5L(86)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5730; RMG #235664
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C12H15(22038)<=>CC(C)CC(C)C(87)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5731; RMG #235704
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C12H15(22038)<=>CCC(95)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5732; RMG #235708
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C12H15(22038)<=>CCC(95)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5733; RMG #235712
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C12H15(22038)<=>C6H11R(98)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5734; RMG #235831
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C12H15(22038)<=>C6H11L(107)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5735; RMG #235839
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C12H15(22038)<=>C6H11L(107)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5736; RMG #235861
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C12H15(22038)<=>C6H10(110)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5737; RMG #236048
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C12H15(22038)<=>C6H10(116)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5738; RMG #236052
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(22038)<=>C6H10(116)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5739; RMG #236074
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C12H15(22038)<=>C6H8(118)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5740; RMG #236078
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(22038)<=>C6H8(118)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5741; RMG #236114
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C12H15(22038)<=>C7H13R(120)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5742; RMG #236126
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C12H15(22038)<=>C7H13R(120)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5743; RMG #236144
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C12H15(22038)<=>C6H8(125)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5744; RMG #236228
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C12H15(22038)<=>C4H8(157)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5745; RMG #236290
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C12H15(22038)<=>C5H8(173)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5746; RMG #236352
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C12H15(22038)<=>C5H8(180)+C12H14(277) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #5747; RMG #236365
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C12H15(22038)<=>C5H6(187)+C12H14(277) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #5748; RMG #251139
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C12H15(22038)<=>C10H14(179)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5749; RMG #256767
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C11H15(234)+C12H15(22038)<=>C11H16(229)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5750; RMG #261576
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H16(269); C12H15(323), C12H14(277);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C12H15(323)+C12H15(22038)<=>C12H14(277)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5751; RMG #270241
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C12H15(22038)<=>C6H9R(285)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5752; RMG #279315
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(22038); C6H8(290), C12H15(22038);
-! Estimated using template [Cds-HH_Cds-CdCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CdCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(290)<=>C12H15(22038) 2.820000e+04 2.410 8.390
-
-! Reaction index: Chemkin #5753; RMG #281458
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(22038)<=>C6H8(290)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5754; RMG #349807
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C12H15(22038)<=>C6H11L(325)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5755; RMG #371271
-! Library reaction: restart_edge
-! Flux pairs: C12H15(22038), C12H14(277); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C12H15(22038)<=>C7H13R(330)+C12H14(277) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #5756; RMG #409728
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H14(277); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C12H15(22038)<=>CC(C)C(29484)+C12H14(277) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5757; RMG #468261
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H14(277); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(22038)<=>C6H8(18175)+C12H14(277) 1.350000e+03 2.700 0.533
-
-! Reaction index: Chemkin #5758; RMG #585051
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C12H14(277), C12H15(22038); H(82), C12H15(22038);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-H(82)+C12H14(277)<=>C12H15(22038) 3.300000e+09 1.480 0.900
-
-! Reaction index: Chemkin #5759; RMG #586194
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C12H15(323)<=>C9H11L(18431)+C12H16(269) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #5760; RMG #586398
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C11H13(298)<=>C9H11L(18431)+C11H14(276) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #5761; RMG #144515
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H8(173), C11H15(18464); C6H7(239), C11H15(18464);
-! From training reaction 278 used for Cds-HH_Cds-CdH;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C5H8(173)+C6H7(239)<=>C11H15(18464) 4.330000e+03 2.410 8.570
-
-! Reaction index: Chemkin #5762; RMG #153206
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5763; RMG #153214
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5764; RMG #153222
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5765; RMG #153230
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5766; RMG #153238
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5767; RMG #153246
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5768; RMG #153254
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5769; RMG #153262
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5770; RMG #153270
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H15(18464)<=>RC10L(1)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5771; RMG #153342
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H15(18464)<=>RC10(2)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5772; RMG #153414
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H15(18464)<=>LC10(3)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5773; RMG #153422
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(18464)<=>C3H5R(12)+C11H14(246) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5774; RMG #153474
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H15(18464)<=>CC(C)L(13)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5775; RMG #153508
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H15(18464)<=>CCCC(C)L(16)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5776; RMG #153540
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(18464)<=>C6H11R(17)+C11H14(246) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5777; RMG #153600
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H15(18464)<=>C3H6(18)+C11H14(246) 2.451710e+27 -4.376 8.460
-
-! Reaction index: Chemkin #5778; RMG #153696
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H15(18464)<=>CC(C)CR(20)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5779; RMG #153788
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H15(18464)<=>CR(22)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5780; RMG #153836
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H15(18464)<=>CC(C)CC(C)CR(23)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5781; RMG #153852
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(18464)<=>C5H9L(24)+C11H14(246) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5782; RMG #153938
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H15(18464)<=>CC(C)CC(C)L(25)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5783; RMG #153962
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H15(18464)<=>CCL(26)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5784; RMG #153970
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H15(18464)<=>CCCR(27)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5785; RMG #154170
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H15(18464)<=>CCCC(C)CR(32)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5786; RMG #154290
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H15(18464)<=>CC(L)CC(C)L(35)+C11H14(246) 1.225850e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5787; RMG #154890
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H15(18464)<=>C8H17L(49)+C11H14(246) 1.225850e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5788; RMG #154986
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(18464)<=>C6H11R(56)+C11H14(246) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5789; RMG #155010
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H15(18464)<=>C6H11R(56)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5790; RMG #155054
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(18464)<=>C5H9L(57)+C11H14(246) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5791; RMG #155070
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H15(18464)<=>C5H9L(57)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5792; RMG #155114
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H15(18464)<=>C3H5R(58)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5793; RMG #155158
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H15(18464)<=>C3H5L(59)+C11H14(246) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5794; RMG #155199
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H15(18464)<=>C4H7R(60)+C11H14(246) 2.451710e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5795; RMG #155207
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(18464)<=>C4H7R(60)+C11H14(246) 1.225850e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5796; RMG #155263
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H15(18464)<=>C8H15L(61)+C11H14(246) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5797; RMG #155371
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(18464)<=>C7H13R(62)+C11H14(246) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5798; RMG #155453
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(18464)<=>C6H11L(63)+C11H14(246) 1.225850e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5799; RMG #155505
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H15(18464)<=>C(75)+C11H14(246) 1.225850e+27 -4.376 4.703
-
-! Reaction index: Chemkin #5800; RMG #155518
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H15(18464)<=>C4H7R(81)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5801; RMG #155554
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H15(18464)<=>[H][H](83)+C11H14(246) 1.225850e+27 -4.376 4.864
-
-! Reaction index: Chemkin #5802; RMG #155563
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H15(18464)<=>C5H9L(84)+C11H14(246) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5803; RMG #155615
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H15(18464)<=>C3H5L(86)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5804; RMG #155675
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H15(18464)<=>CC(C)CC(C)C(87)+C11H14(246) 1.225850e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5805; RMG #155755
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H15(18464)<=>CCC(95)+C11H14(246) 1.225850e+27 -4.376 5.985
-
-! Reaction index: Chemkin #5806; RMG #155763
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H15(18464)<=>CCC(95)+C11H14(246) 1.225850e+27 -4.376 5.367
-
-! Reaction index: Chemkin #5807; RMG #155771
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(18464)<=>C6H11R(98)+C11H14(246) 1.225850e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5808; RMG #155991
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(18464)<=>C6H11L(107)+C11H14(246) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5809; RMG #156007
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H15(18464)<=>C6H11L(107)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5810; RMG #156051
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H15(18464)<=>C6H10(110)+C11H14(246) 1.225850e+27 -4.376 10.849
-
-! Reaction index: Chemkin #5811; RMG #156339
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H15(18464)<=>C6H10(116)+C11H14(246) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5812; RMG #156347
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H15(18464)<=>C6H10(116)+C11H14(246) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5813; RMG #156451
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(18464)<=>C6H8(118)+C11H14(246) 2.451710e+27 -4.376 9.335
-
-! Reaction index: Chemkin #5814; RMG #156459
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(18464)<=>C6H8(118)+C11H14(246) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #5815; RMG #156531
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(18464)<=>C7H13R(120)+C11H14(246) 1.225850e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5816; RMG #156555
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H15(18464)<=>C7H13R(120)+C11H14(246) 1.225850e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5817; RMG #156591
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H15(18464)<=>C6H8(125)+C11H14(246) 2.451710e+27 -4.376 9.433
-
-! Reaction index: Chemkin #5818; RMG #156671
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H15(18464)<=>C4H8(157)+C11H14(246) 2.451710e+27 -4.376 8.079
-
-! Reaction index: Chemkin #5819; RMG #156795
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H15(18464)<=>C5H8(173)+C11H14(246) 2.451710e+27 -4.376 10.743
-
-! Reaction index: Chemkin #5820; RMG #156883
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H15(18464)<=>C5H8(180)+C11H14(246) 2.451710e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5821; RMG #156909
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H15(18464)<=>C5H6(187)+C11H14(246) 6.129270e+27 -4.376 9.315
-
-! Reaction index: Chemkin #5822; RMG #167443
-! Library reaction: restart_edge
-! Flux pairs: C11H15(234), C11H16(229); C11H15(18464), C11H14(246);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(18464)+C11H15(234)<=>C11H14(246)+C11H16(229) 1.225850e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5823; RMG #176064
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C11H15(18464)<=>C10H14(179)+C11H14(246) 1.225850e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5824; RMG #269189
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(18464)<=>C6H9R(285)+C11H14(246) 1.225850e+27 -4.376 10.743
-
-! Reaction index: Chemkin #5825; RMG #280597
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(18464)<=>C6H8(290)+C11H14(246) 1.225850e+27 -4.376 11.722
-
-! Reaction index: Chemkin #5826; RMG #349071
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H15(18464)<=>C6H11L(325)+C11H14(246) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #5827; RMG #371868
-! Library reaction: restart_edge
-! Flux pairs: C11H15(18464), C11H14(246); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H15(18464)<=>C7H13R(330)+C11H14(246) 1.225850e+27 -4.376 9.790
-
-! Reaction index: Chemkin #5828; RMG #409248
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(18464), C11H14(246); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H15(18464)<=>CC(C)C(29484)+C11H14(246) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5829; RMG #467437
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(18464), C11H14(246); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H15(18464)<=>C6H8(18175)+C11H14(246) 1.225854e+27 -4.376 13.118
-
-! Reaction index: Chemkin #5830; RMG #587160
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C11H14(246), C11H15(18464); H(82), C11H15(18464);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H14(246)<=>C11H15(18464) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #5831; RMG #144445
-! Library reaction: restart_edge
-! Flux pairs: C3H4L(147), C9H11L(18430); C6H7(239), C9H11L(18430);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C6H7(239)<=>C9H11L(18430) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5832; RMG #577425
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C10H14R(18285), C10H14R(33566);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H
-C10H14R(18285)<=>C10H14R(33566) 9.450000e+10 0.290 6.349
-
-! Reaction index: Chemkin #5833; RMG #144392
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H15(18406); C6H8(125), C12H15(18406);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;CsJ-(CdC)HH]
-! Euclidian distance = 1.4142135623730951
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H8(125)<=>C12H15(18406) 1.190000e+04 2.410 10.290
-
-! Reaction index: Chemkin #5834; RMG #506857
-! Template reaction: R_Recombination
-! Flux pairs: C12H15(18406), C12H16(18680); H(82), C12H16(18680);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H_Ext-5R!H-R_Ext-6R!H-R_Int-6R!H-2CNO
-H(82)+C12H15(18406)<=>C12H16(18680) 3.680110e+13 -0.486 0.000
-
-! Reaction index: Chemkin #5835; RMG #507058
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H15(18406)<=>C3H5R(12)+C12H16(18680) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5836; RMG #507156
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H15(18406)<=>C6H11R(17)+C12H16(18680) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #5837; RMG #507184
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C12H15(18406)<=>C3H6(18)+C12H16(18680) 2.105300e+14 -0.550 0.172
-
-! Reaction index: Chemkin #5838; RMG #507194
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C12H15(18406)<=>C3H6(18)+C12H16(18680) 2.451708e+27 -4.376 7.580
-
-! Reaction index: Chemkin #5839; RMG #507216
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H15(18406)<=>C2H3L(19)+C12H16(18680) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5840; RMG #507312
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H15(18406)<=>C8H15L(21)+C12H16(18680) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #5841; RMG #507404
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H15(18406)<=>C5H9L(24)+C12H16(18680) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #5842; RMG #507900
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C12H15(18406)<=>C6H11R(56)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5843; RMG #507950
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C12H15(18406)<=>C5H9L(57)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5844; RMG #507998
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C12H15(18406)<=>C3H5R(58)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5845; RMG #508020
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C12H15(18406)<=>C3H5L(59)+C12H16(18680) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #5846; RMG #508058
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C12H15(18406)<=>C4H7R(60)+C12H16(18680) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #5847; RMG #508126
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C12H15(18406)<=>C8H15L(61)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5848; RMG #508182
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C12H15(18406)<=>C7H13R(62)+C12H16(18680) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #5849; RMG #508232
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C12H15(18406)<=>C6H11L(63)+C12H16(18680) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #5850; RMG #508942
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(18406)<=>C6H8(118)+C12H16(18680) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5851; RMG #509062
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(18406)<=>C6H8(125)+C12H16(18680) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5852; RMG #509072
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C12H15(18406)<=>C6H8(125)+C12H16(18680) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5853; RMG #509104
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C12H15(18406)<=>C4H8(157)+C12H16(18680) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #5854; RMG #509316
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C12H15(18406)<=>C5H6(187)+C12H16(18680) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5855; RMG #509492
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(118), C6H7(239); C12H15(18406), C12H16(18680);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #5856; RMG #509508
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C12H15(18406), C12H16(18680);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5857; RMG #509524
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C12H15(18406), C12H16(18680);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C12H15(18406)<=>C6H7(239)+C12H16(18680) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5858; RMG #509568
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(18406)<=>C6H6(252)+C12H16(18680) 1.350000e+03 2.700 0.437
-
-! Reaction index: Chemkin #5859; RMG #509588
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C12H15(18406)<=>C6H6(252)+C12H16(18680) 1.225854e+27 -4.376 11.468
-
-! Reaction index: Chemkin #5860; RMG #509622
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C12H15(18406)<=>C5H7L(262)+C12H16(18680) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #5861; RMG #509652
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(18406)<=>C5H7L(262)+C12H16(18680) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #5862; RMG #509722
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C12H15(18406)<=>C6H9R(285)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5863; RMG #509774
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C12H15(18406), C12H16(18680);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C12H15(18406)<=>C6H8R(287)+C12H16(18680) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #5864; RMG #509942
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H15(18406)<=>C6H8(290)+C12H16(18680) 1.225854e+27 -4.376 11.307
-
-! Reaction index: Chemkin #5865; RMG #510468
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C12H15(18406)<=>C9H12(18323)+C12H16(18680) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5866; RMG #514720
-! Template reaction: H_Abstraction
-! Flux pairs: C5H9L(57), C5H8L(77); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C12H15(18406)<=>C5H8L(77)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5867; RMG #514736
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(77), C5H9L(84); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C12H16(18680)<=>C5H9L(84)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5868; RMG #514812
-! Template reaction: H_Abstraction
-! Flux pairs: C3H4R(78), C3H5R(12); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C12H16(18680)<=>C3H5R(12)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5869; RMG #514828
-! Template reaction: H_Abstraction
-! Flux pairs: C3H4R(78), C3H5R(58); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C12H16(18680)<=>C3H5R(58)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5870; RMG #514904
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(60); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C12H16(18680)<=>C4H7R(60)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5871; RMG #514920
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(79), C4H7R(81); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C12H16(18680)<=>C4H7R(81)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5872; RMG #515134
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(24); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C12H16(18680)<=>C5H9L(24)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5873; RMG #515150
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8L(89), C5H9L(57); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C12H16(18680)<=>C5H9L(57)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5874; RMG #515226
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C12H15(18406)<=>C6H10R(90)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5875; RMG #515242
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C12H16(18680)<=>C6H11R(98)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5876; RMG #515450
-! Template reaction: H_Abstraction
-! Flux pairs: C3H6(18), C3H5(102); C12H15(18406), C12H16(18680);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C12H15(18406)<=>C3H5(102)+C12H16(18680) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #5877; RMG #515510
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C12H16(18680)<=>C6H11L(63)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5878; RMG #515526
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C12H16(18680)<=>C6H11L(107)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5879; RMG #515802
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C12H16(18680)<=>C7H13R(62)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5880; RMG #515818
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C12H16(18680)<=>C7H13R(120)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5881; RMG #516212
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C12H15(18406), C12H16(18680);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C12H15(18406)<=>C6H9(113)+C12H16(18680) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #5882; RMG #516320
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(114)+C12H16(18680)<=>C6H10(116)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5883; RMG #517327
-! Template reaction: H_Abstraction
-! Flux pairs: C3H4L(147), C3H5L(59); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C12H16(18680)<=>C3H5L(59)+C12H15(18406) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #5884; RMG #517405
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9(160)+C12H16(18680)<=>C6H10(116)+C12H15(18406) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5885; RMG #517605
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C12H15(18406)<=>C6H10L(169)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5886; RMG #517621
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C12H15(18406)<=>C6H10L(169)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5887; RMG #517697
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C12H16(18680)<=>C6H11R(17)+C12H15(18406) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5888; RMG #517713
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C12H16(18680)<=>C6H11R(56)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5889; RMG #517827
-! Template reaction: H_Abstraction
-! Flux pairs: C5H8(173), C5H7(174); C12H15(18406), C12H16(18680);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C12H15(18406)<=>C5H7(174)+C12H16(18680) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #5890; RMG #517891
-! Template reaction: H_Abstraction
-! Flux pairs: C5H7(178), C5H8(180); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C12H16(18680)<=>C5H8(180)+C12H15(18406) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #5891; RMG #518561
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C12H15(18406)<=>C10H14(184)+C12H16(18680) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5892; RMG #519133
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C12H15(18406)<=>C8H12(194)+C12H16(18680) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5893; RMG #519305
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C12H15(18406)<=>C7H12R(199)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5894; RMG #519321
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C12H15(18406), C12H16(18680);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C12H15(18406)<=>C7H12R(199)+C12H16(18680) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #5895; RMG #519813
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C12H15(18406)<=>C10H12(201)+C12H16(18680) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5896; RMG #521129
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6R(224), C4H7R(60); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C12H16(18680)<=>C4H7R(60)+C12H15(18406) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #5897; RMG #521741
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C12H15(18406)<=>C10H13R(240)+C12H16(18680) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #5898; RMG #522247
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C11H15(18464), C11H14(246);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(18464)+C12H15(18406)<=>C11H14(246)+C12H16(18680) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5899; RMG #523257
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H16(18680); C12H15(18406), C12H14(257);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C12H15(18406)+C12H15(18389)<=>C12H14(257)+C12H16(18680) 1.225854e+27 -4.376 11.386
-
-! Reaction index: Chemkin #5900; RMG #526197
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C11H15(256), C11H14(271);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(256)+C12H15(18406)<=>C11H14(271)+C12H16(18680) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5901; RMG #526665
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C12H15(18406)<=>C9H12(272)+C12H16(18680) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #5902; RMG #528133
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H16(18680); C12H15(18406), C12H14(277);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C12H15(18406)+C12H15(22038)<=>C12H14(277)+C12H16(18680) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #5903; RMG #534761
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18680); C12H15(18406), C12H16(18380);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C12H15(18406)+C12H17(266)<=>C12H16(18380)+C12H16(18680) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #5904; RMG #536203
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C12H15(18406)<=>C10H13R(18283)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #5905; RMG #577173
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C11H17(238), C11H16(11281);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H17(238)+C12H15(18406)<=>C11H16(11281)+C12H16(18680) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #5906; RMG #577174
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C11H17(181), C11H16(11281);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H17(181)+C12H15(18406)<=>C11H16(11281)+C12H16(18680) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #5907; RMG #584438
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C12H15(18406)<=>C9H11L(18431)+C12H16(18680) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #5908; RMG #594566
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(18406)<=>C9H17LR(65)+C12H16(18680) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #5909; RMG #594567
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(18406)<=>C9H17LR(69)+C12H16(18680) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #5910; RMG #594568
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5911; RMG #594569
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5912; RMG #594570
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(18406)<=>C9H17LR(72)+C12H16(18680) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #5913; RMG #594571
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5914; RMG #594572
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5915; RMG #594573
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5916; RMG #594574
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C12H16(18680)<=>RC10L(1)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5917; RMG #594587
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C12H16(18680)<=>CC(C)L(13)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5918; RMG #594595
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C12H16(18680)<=>CCCC(C)L(16)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5919; RMG #594635
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C12H16(18680)<=>CC(C)CR(20)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5920; RMG #594657
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C12H16(18680)<=>CR(22)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5921; RMG #594669
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C12H16(18680)<=>CC(C)CC(C)CR(23)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5922; RMG #594691
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C12H16(18680)<=>CC(C)CC(C)L(25)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5923; RMG #594696
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C12H16(18680)<=>CCL(26)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5924; RMG #594700
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C12H16(18680)<=>CCCR(27)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5925; RMG #594711
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C12H16(18680)<=>CCCC(C)CR(32)+C12H15(18406) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #5926; RMG #594794
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C12H15(18406)<=>CH3(74)+C12H16(18680) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #5927; RMG #594818
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C12H16(18680)<=>C3H5L(86)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #5928; RMG #594841
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C12H15(18406)<=>C[CH]C(94)+C12H16(18680) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #5929; RMG #594842
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C12H16(18680)<=>CCC(95)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #5930; RMG #594903
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C12H15(18406)<=>C6H7(123)+C12H16(18680) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5931; RMG #594932
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C12H15(18406)<=>C6H7(123)+C12H16(18680) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5932; RMG #594945
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C12H16(18680)<=>C4H8(157)+C12H15(18406) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #5933; RMG #594978
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C12H15(18406)<=>C5H5(189)+C12H16(18680) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #5934; RMG #143558
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H13(18194); C6H7(239), C9H13(18194);
-! From training reaction 422 used for Cds-CsH_Cds-HH;CsJ-CdCsH
-! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H7(239)<=>C9H13(18194) 1.850000e+03 2.410 13.160
-
-! Reaction index: Chemkin #5935; RMG #322180
-! Library reaction: restart_edge
-! Flux pairs: C9H13(18194), C9H13(312);
-! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-3R!H-R_Ext-7R!H-R
-C9H13(18194)<=>C9H13(312) 4.000000e+08 0.190 1.026
-
-! Reaction index: Chemkin #5936; RMG #595029
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 92.9 to 94.2 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C12H15(18406)<=>H(82)+C12H16(18680) 4.580000e-02 4.340 22.508
-
-! Reaction index: Chemkin #5937; RMG #545312
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C10H15(18437), C10H15(32871);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C10H15(18437)<=>C10H15(32871) 1.260000e+11 0.160 6.191
-
-! Reaction index: Chemkin #5938; RMG #144451
-! Library reaction: restart_edge
-! Flux pairs: C4H7(156), C10H14(18435); C6H7(239), C10H14(18435);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C6H7(239)<=>C10H14(18435) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5939; RMG #148269
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18725); C6H9(161), C12H16(18725);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(161)<=>C12H16(18725) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #5940; RMG #82731
-! Library reaction: restart_edge
-! Flux pairs: C5H7(174), C11H16(11277); C6H9(113), C11H16(11277);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H9(113)<=>C11H16(11277) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #5941; RMG #410420
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C11H16(11277), C11H17(10750); H(82), C11H17(10750);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C11H16(11277)<=>C11H17(10750) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #5942; RMG #605704
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(65)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5943; RMG #605712
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(69)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5944; RMG #605720
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(66)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5945; RMG #605728
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(68)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5946; RMG #605736
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(72)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5947; RMG #605744
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(73)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5948; RMG #605752
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(71)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5949; RMG #605760
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(67)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5950; RMG #605768
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H17LR(70)+C11H17(10750)<=>RC10L(1)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5951; RMG #605840
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C10H20R(64), RC10(2);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20R(64)+C11H17(10750)<=>RC10(2)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5952; RMG #605912
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C10H20L(76), LC10(3);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H20L(76)+C11H17(10750)<=>LC10(3)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5953; RMG #605920
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(10750)<=>C3H5R(12)+C11H16(11277) 1.225854e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5954; RMG #605972
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C11H17(10750)<=>CC(C)L(13)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5955; RMG #605996
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H17(10750)<=>CCCC(C)L(16)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5956; RMG #606028
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(10750)<=>C6H11R(17)+C11H16(11277) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5957; RMG #606088
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C11H17(10750)<=>C3H6(18)+C11H16(11277) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5958; RMG #606184
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C11H17(10750)<=>CC(C)CR(20)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5959; RMG #606276
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C11H17(10750)<=>CR(22)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5960; RMG #606324
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C11H17(10750)<=>CC(C)CC(C)CR(23)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5961; RMG #606340
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(10750)<=>C5H9L(24)+C11H16(11277) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5962; RMG #606416
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C11H17(10750)<=>CC(C)CC(C)L(25)+C11H16(11277) 1.225854e+27 -4.376 5.462
-
-! Reaction index: Chemkin #5963; RMG #606440
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H17(10750)<=>CCL(26)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5964; RMG #606448
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H17(10750)<=>CCCR(27)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5965; RMG #606488
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H17(10750)<=>CCCC(C)CR(32)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #5966; RMG #606528
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C11H17(10750)<=>CC(L)CC(C)L(35)+C11H16(11277) 1.225854e+27 -4.376 6.429
-
-! Reaction index: Chemkin #5967; RMG #606544
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(10750)<=>C6H11R(56)+C11H16(11277) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5968; RMG #606568
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C11H17(10750)<=>C6H11R(56)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5969; RMG #606612
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(10750)<=>C5H9L(57)+C11H16(11277) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5970; RMG #606628
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C11H17(10750)<=>C5H9L(57)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5971; RMG #606672
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C11H17(10750)<=>C3H5R(58)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5972; RMG #606716
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C11H17(10750)<=>C3H5L(59)+C11H16(11277) 2.451708e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5973; RMG #606752
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C11H17(10750)<=>C4H7R(60)+C11H16(11277) 2.451708e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5974; RMG #606760
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(10750)<=>C4H7R(60)+C11H16(11277) 1.225854e+27 -4.376 9.219
-
-! Reaction index: Chemkin #5975; RMG #606796
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C11H17(10750)<=>C8H15L(61)+C11H16(11277) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5976; RMG #606888
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(10750)<=>C7H13R(62)+C11H16(11277) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5977; RMG #606956
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(10750)<=>C6H11L(63)+C11H16(11277) 1.225854e+27 -4.376 9.371
-
-! Reaction index: Chemkin #5978; RMG #607008
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C11H17(10750)<=>C(75)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5979; RMG #607016
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C11H17(10750)<=>C4H7R(81)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5980; RMG #607052
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C11H17(10750)<=>[H][H](83)+C11H16(11277) 2.169000e+13 0.000 3.928
-
-! Reaction index: Chemkin #5981; RMG #607060
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H17(10750)<=>C5H9L(84)+C11H16(11277) 1.225854e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5982; RMG #607112
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C11H17(10750)<=>C3H5L(86)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5983; RMG #607172
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C11H17(10750)<=>CC(C)CC(C)C(87)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5984; RMG #607252
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C11H17(10750)<=>CCC(95)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5985; RMG #607260
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C11H17(10750)<=>CCC(95)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5986; RMG #607268
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H17(10750)<=>C6H11R(98)+C11H16(11277) 1.225854e+27 -4.376 9.358
-
-! Reaction index: Chemkin #5987; RMG #607400
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(10750)<=>C6H11L(107)+C11H16(11277) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5988; RMG #607416
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C11H17(10750)<=>C6H11L(107)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5989; RMG #607460
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C11H17(10750)<=>C6H10(110)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5990; RMG #607540
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C11H17(10750)<=>C6H10(116)+C11H16(11277) 2.451708e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5991; RMG #607548
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H17(10750)<=>C6H10(116)+C11H16(11277) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #5992; RMG #607592
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(10750)<=>C6H8(118)+C11H16(11277) 2.451708e+27 -4.376 9.335
-
-! Reaction index: Chemkin #5993; RMG #607600
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(10750)<=>C6H8(118)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5994; RMG #607672
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(10750)<=>C7H13R(120)+C11H16(11277) 1.225854e+27 -4.376 9.741
-
-! Reaction index: Chemkin #5995; RMG #607696
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C11H17(10750)<=>C7H13R(120)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #5996; RMG #607732
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C11H17(10750)<=>C6H8(125)+C11H16(11277) 2.451708e+27 -4.376 9.433
-
-! Reaction index: Chemkin #5997; RMG #607812
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C11H17(10750)<=>C4H8(157)+C11H16(11277) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5998; RMG #607892
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C11H17(10750)<=>C5H8(173)+C11H16(11277) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #5999; RMG #607980
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C11H17(10750)<=>C5H8(180)+C11H16(11277) 2.451708e+27 -4.376 10.059
-
-! Reaction index: Chemkin #6000; RMG #608006
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C11H17(10750)<=>C5H6(187)+C11H16(11277) 6.129270e+27 -4.376 9.315
-
-! Reaction index: Chemkin #6001; RMG #608220
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(10750)<=>C6H9R(285)+C11H16(11277) 1.225854e+27 -4.376 10.743
-
-! Reaction index: Chemkin #6002; RMG #608300
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(10750)<=>C6H8(290)+C11H16(11277) 1.225854e+27 -4.376 11.722
-
-! Reaction index: Chemkin #6003; RMG #608372
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C11H17(10750)<=>C6H11L(325)+C11H16(11277) 1.225854e+27 -4.376 9.790
-
-! Reaction index: Chemkin #6004; RMG #608424
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C11H17(10750)<=>C7H13R(330)+C11H16(11277) 1.225854e+27 -4.376 9.790
-
-! Reaction index: Chemkin #6005; RMG #608492
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C11H17(10750)<=>CC(C)C(29484)+C11H16(11277) 1.500000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6006; RMG #608817
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H17(10750)<=>C8H17L(49)+C11H16(11277) 1.225854e+27 -4.376 6.007
-
-! Reaction index: Chemkin #6007; RMG #609443
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C11H17(10750)<=>C6H8(18175)+C11H16(11277) 1.225854e+27 -4.376 13.118
-
-! Reaction index: Chemkin #6008; RMG #82735
-! Library reaction: restart_edge
-! Flux pairs: C5H7(174), C11H16(11279); C6H9(113), C11H16(11279);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H9(113)<=>C11H16(11279) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #6009; RMG #143920
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(58), C9H12R(18225); C6H7(239), C9H12R(18225);
-! Estimated using template [Cds-CsH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5R(58)+C6H7(239)<=>C9H12R(18225) 2.382500e+02 2.700 11.200
-
-! Reaction index: Chemkin #6010; RMG #470171
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(65)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377
-
-! Reaction index: Chemkin #6011; RMG #470177
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(69)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377
-
-! Reaction index: Chemkin #6012; RMG #470183
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(66)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6013; RMG #470189
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(68)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6014; RMG #470195
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(72)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.377
-
-! Reaction index: Chemkin #6015; RMG #470201
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(73)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6016; RMG #470207
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(71)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6017; RMG #470213
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(67)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6018; RMG #470219
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C9H17LR(70)<=>C9H11R(18275)+RC10L(1) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6019; RMG #470273
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C10H20R(64)<=>C9H11R(18275)+RC10(2) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6020; RMG #470327
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C10H20L(76)<=>C9H11R(18275)+LC10(3) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6021; RMG #470333
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H12R(18225)<=>C3H5R(12)+C9H11R(18275) 1.225854e+27 -4.376 6.614
-
-! Reaction index: Chemkin #6022; RMG #470373
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C9H12R(18225)<=>CC(C)L(13)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6023; RMG #470391
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C9H12R(18225)<=>CCCC(C)L(16)+C9H11R(18275) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6024; RMG #470415
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H12R(18225)<=>C6H11R(17)+C9H11R(18275) 1.225854e+27 -4.376 6.739
-
-! Reaction index: Chemkin #6025; RMG #470461
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C9H12R(18225)<=>C3H6(18)+C9H11R(18275) 2.451708e+27 -4.376 5.999
-
-! Reaction index: Chemkin #6026; RMG #470535
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C9H12R(18225)<=>CC(C)CR(20)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6027; RMG #470605
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C9H12R(18225)<=>CR(22)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6028; RMG #470641
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H14R(9)+C9H12R(18225)<=>CC(C)CC(C)CR(23)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6029; RMG #470653
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H12R(18225)<=>C5H9L(24)+C9H11R(18275) 1.225854e+27 -4.376 6.739
-
-! Reaction index: Chemkin #6030; RMG #470711
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H12L(11)+C9H12R(18225)<=>CC(C)CC(C)L(25)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6031; RMG #470729
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C9H12R(18225)<=>CCL(26)+C9H11R(18275) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6032; RMG #470735
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C9H12R(18225)<=>CCCR(27)+C9H11R(18275) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6033; RMG #470789
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C9H12R(18225)<=>CCCC(C)CR(32)+C9H11R(18275) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6034; RMG #470879
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C9H12R(18225)<=>CC(L)CC(C)L(35)+C9H11R(18275) 1.225854e+27 -4.376 4.377
-
-! Reaction index: Chemkin #6035; RMG #471083
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C9H12R(18225)<=>C8H17L(49)+C9H11R(18275) 1.225854e+27 -4.376 4.046
-
-! Reaction index: Chemkin #6036; RMG #471143
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H12R(18225)<=>C6H11R(56)+C9H11R(18275) 1.225854e+27 -4.376 7.041
-
-! Reaction index: Chemkin #6037; RMG #471161
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C9H12R(18225)<=>C6H11R(56)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6038; RMG #471195
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H12R(18225)<=>C5H9L(57)+C9H11R(18275) 1.225854e+27 -4.376 7.041
-
-! Reaction index: Chemkin #6039; RMG #471207
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C9H12R(18225)<=>C5H9L(57)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6040; RMG #471241
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C9H12R(18225)<=>C3H5R(58)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6041; RMG #471275
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C9H12R(18225)<=>C3H5L(59)+C9H11R(18275) 2.451708e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6042; RMG #471303
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C9H12R(18225)<=>C4H7R(60)+C9H11R(18275) 2.451708e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6043; RMG #471309
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H12R(18225)<=>C4H7R(60)+C9H11R(18275) 1.225854e+27 -4.376 6.614
-
-! Reaction index: Chemkin #6044; RMG #471337
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H14L(112)+C9H12R(18225)<=>C8H15L(61)+C9H11R(18275) 1.225854e+27 -4.376 7.041
-
-! Reaction index: Chemkin #6045; RMG #471407
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H12R(18225)<=>C7H13R(62)+C9H11R(18275) 1.225854e+27 -4.376 6.739
-
-! Reaction index: Chemkin #6046; RMG #471459
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H12R(18225)<=>C6H11L(63)+C9H11R(18275) 1.225854e+27 -4.376 6.739
-
-! Reaction index: Chemkin #6047; RMG #471499
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C9H12R(18225)<=>C(75)+C9H11R(18275) 1.225854e+27 -4.376 3.037
-
-! Reaction index: Chemkin #6048; RMG #471533
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C9H12R(18225)<=>C4H7R(81)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6049; RMG #471561
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C9H12R(18225)<=>[H][H](83)+C9H11R(18275) 1.225854e+27 -4.376 3.160
-
-! Reaction index: Chemkin #6050; RMG #471567
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C9H12R(18225)<=>C5H9L(84)+C9H11R(18275) 1.225854e+27 -4.376 6.727
-
-! Reaction index: Chemkin #6051; RMG #471607
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C9H12R(18225)<=>C3H5L(86)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6052; RMG #471653
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H15(85)+C9H12R(18225)<=>CC(C)CC(C)C(87)+C9H11R(18275) 1.225854e+27 -4.376 3.621
-
-! Reaction index: Chemkin #6053; RMG #471715
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C9H12R(18225)<=>CCC(95)+C9H11R(18275) 1.225854e+27 -4.376 4.029
-
-! Reaction index: Chemkin #6054; RMG #471721
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C9H12R(18225)<=>CCC(95)+C9H11R(18275) 1.225854e+27 -4.376 3.548
-
-! Reaction index: Chemkin #6055; RMG #471727
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H12R(18225)<=>C6H11R(98)+C9H11R(18275) 1.225854e+27 -4.376 6.727
-
-! Reaction index: Chemkin #6056; RMG #471897
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H12R(18225)<=>C6H11L(107)+C9H11R(18275) 1.225854e+27 -4.376 7.041
-
-! Reaction index: Chemkin #6057; RMG #471909
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C9H12R(18225)<=>C6H11L(107)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6058; RMG #471943
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C9H12R(18225)<=>C6H10(110)+C9H11R(18275) 1.225854e+27 -4.376 7.951
-
-! Reaction index: Chemkin #6059; RMG #472073
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C9H12R(18225)<=>C6H10(116)+C9H11R(18275) 2.451708e+27 -4.376 7.301
-
-! Reaction index: Chemkin #6060; RMG #472079
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C9H12R(18225)<=>C6H10(116)+C9H11R(18275) 1.225854e+27 -4.376 7.301
-
-! Reaction index: Chemkin #6061; RMG #472113
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H12R(18225)<=>C6H8(118)+C9H11R(18275) 2.451708e+27 -4.376 6.709
-
-! Reaction index: Chemkin #6062; RMG #472119
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12R(18225)<=>C6H8(118)+C9H11R(18275) 1.225854e+27 -4.376 7.863
-
-! Reaction index: Chemkin #6063; RMG #472175
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H12R(18225)<=>C7H13R(120)+C9H11R(18275) 1.225854e+27 -4.376 7.041
-
-! Reaction index: Chemkin #6064; RMG #472193
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(108)+C9H12R(18225)<=>C7H13R(120)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6065; RMG #472221
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C9H12R(18225)<=>C6H8(125)+C9H11R(18275) 2.451708e+27 -4.376 6.789
-
-! Reaction index: Chemkin #6066; RMG #472283
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C9H12R(18225)<=>C4H8(157)+C9H11R(18275) 2.451708e+27 -4.376 5.692
-
-! Reaction index: Chemkin #6067; RMG #472379
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C9H12R(18225)<=>C5H8(173)+C9H11R(18275) 2.451708e+27 -4.376 7.863
-
-! Reaction index: Chemkin #6068; RMG #472447
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C9H12R(18225)<=>C5H8(180)+C9H11R(18275) 2.451708e+27 -4.376 7.301
-
-! Reaction index: Chemkin #6069; RMG #472467
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C9H12R(18225)<=>C5H6(187)+C9H11R(18275) 6.129270e+27 -4.376 6.693
-
-! Reaction index: Chemkin #6070; RMG #472793
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H12R(18225)<=>C6H9R(285)+C9H11R(18275) 1.225854e+27 -4.376 7.863
-
-! Reaction index: Chemkin #6071; RMG #472925
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12R(18225)<=>C6H8(290)+C9H11R(18275) 1.225854e+27 -4.376 8.674
-
-! Reaction index: Chemkin #6072; RMG #472981
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(169)+C9H12R(18225)<=>C6H11L(325)+C9H11R(18275) 1.225854e+27 -4.376 7.080
-
-! Reaction index: Chemkin #6073; RMG #473021
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C7H12R(199)+C9H12R(18225)<=>C7H13R(330)+C9H11R(18275) 1.225854e+27 -4.376 7.080
-
-! Reaction index: Chemkin #6074; RMG #473169
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C9H12R(18225)<=>CC(C)C(29484)+C9H11R(18275) 1.225854e+27 -4.376 3.500
-
-! Reaction index: Chemkin #6075; RMG #473367
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C9H12R(18225)<=>C6H8(18175)+C9H11R(18275) 1.225854e+27 -4.376 9.839
-
-! Reaction index: Chemkin #6076; RMG #480896
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C10H13(202)<=>C9H11R(18275)+C10H14(179) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #6077; RMG #484717
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C11H15(234)<=>C9H11R(18275)+C11H16(229) 1.225854e+27 -4.376 7.301
-
-! Reaction index: Chemkin #6078; RMG #487725
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C12H15(323)<=>C9H11R(18275)+C12H16(269) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #6079; RMG #535697
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C12H15(18406)<=>C9H11R(18275)+C12H16(18680) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #6080; RMG #612296
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C9H11R(18275), C9H12R(18225); H(82), C9H12R(18225);
-! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H11R(18275)<=>C9H12R(18225) 3.360000e+08 1.560 0.600
-
-! Reaction index: Chemkin #6081; RMG #612293
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H12R(18225), C9H12R(34500);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R_Ext-8R!H-R_Sp-9R!H-8R!H
-C9H12R(18225)<=>C9H12R(34500) 9.450000e+10 0.290 6.187
-
-! Reaction index: Chemkin #6082; RMG #144450
-! Library reaction: restart_edge
-! Flux pairs: C4H7(156), C10H14(18434); C6H7(239), C10H14(18434);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C6H7(239)<=>C10H14(18434) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #6083; RMG #620269
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C11H17(10750), C11H16(11277);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H17(10750)+C12H15(18406)<=>C11H16(11277)+C12H16(18680) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6084; RMG #184248
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H7L(262), C10H14L(20637); C5H7(174), C10H14L(20637);
-! From training reaction 277 used for Cds-HH_Cds-CdH;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CdH;CsJ-CdHH]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: R_Addition_MultipleBond
-C5H7L(262)+C5H7(174)<=>C10H14L(20637) 4.980000e+04 2.410 8.810
-
-! Reaction index: Chemkin #6085; RMG #144073
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18278); C6H7(239), C10H13R(18278);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18278) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #6086; RMG #577428
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C10H13R(18278), C10H14R(18285); H(82), C10H14R(18285);
-! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C10H13R(18278)<=>C10H14R(18285) 1.691000e+10 1.168 2.996
-
-! Reaction index: Chemkin #6087; RMG #620808
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(65)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530
-
-! Reaction index: Chemkin #6088; RMG #620814
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(69)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530
-
-! Reaction index: Chemkin #6089; RMG #620820
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(66)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6090; RMG #620826
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(68)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6091; RMG #620832
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(72)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.530
-
-! Reaction index: Chemkin #6092; RMG #620838
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(73)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6093; RMG #620844
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(71)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6094; RMG #620850
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(67)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6095; RMG #620856
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(70)+C10H14R(18285)<=>RC10L(1)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6096; RMG #620910
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C10H20R(64)<=>C10H13R(18278)+RC10(2) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6097; RMG #620964
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C10H20L(76)<=>C10H13R(18278)+LC10(3) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6098; RMG #620970
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C10H14R(18285)<=>C3H5R(12)+C10H13R(18278) 2.451708e+27 -4.376 6.812
-
-! Reaction index: Chemkin #6099; RMG #621010
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)L(4)+C10H14R(18285)<=>CC(C)L(13)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6100; RMG #621028
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)L(7)+C10H14R(18285)<=>CCCC(C)L(16)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6101; RMG #621052
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(171)+C10H14R(18285)<=>C6H11R(17)+C10H13R(18278) 2.451708e+27 -4.376 6.938
-
-! Reaction index: Chemkin #6102; RMG #621098
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C3H5(102)+C10H14R(18285)<=>C3H6(18)+C10H13R(18278) 4.903416e+27 -4.376 6.184
-
-! Reaction index: Chemkin #6103; RMG #621172
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)CR(6)+C10H14R(18285)<=>CC(C)CR(20)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6104; RMG #621242
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]R(14)+C10H14R(18285)<=>CR(22)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6105; RMG #621278
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H14R(9)+C10H14R(18285)<=>CC(C)CC(C)CR(23)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6106; RMG #621290
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(89)+C10H14R(18285)<=>C5H9L(24)+C10H13R(18278) 2.451708e+27 -4.376 6.938
-
-! Reaction index: Chemkin #6107; RMG #621348
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H12L(11)+C10H14R(18285)<=>CC(C)CC(C)L(25)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6108; RMG #621366
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C10H14R(18285)<=>CCL(26)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6109; RMG #621372
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C10H14R(18285)<=>CCCR(27)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6110; RMG #621402
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)CR(5)+C10H14R(18285)<=>CCCC(C)CR(32)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6111; RMG #621426
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(90)+C10H14R(18285)<=>C6H11R(56)+C10H13R(18278) 2.451708e+27 -4.376 7.246
-
-! Reaction index: Chemkin #6112; RMG #621444
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(171)+C10H14R(18285)<=>C6H11R(56)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6113; RMG #621478
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C10H14R(18285)<=>C5H9L(57)+C10H13R(18278) 2.451708e+27 -4.376 7.246
-
-! Reaction index: Chemkin #6114; RMG #621490
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(89)+C10H14R(18285)<=>C5H9L(57)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6115; RMG #621524
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C10H14R(18285)<=>C3H5R(58)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6116; RMG #621558
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C3H4L(147)+C10H14R(18285)<=>C3H5L(59)+C10H13R(18278) 4.903416e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6117; RMG #621586
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C4H6R(224)+C10H14R(18285)<=>C4H7R(60)+C10H13R(18278) 4.903416e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6118; RMG #621592
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(79)+C10H14R(18285)<=>C4H7R(60)+C10H13R(18278) 2.451708e+27 -4.376 6.812
-
-! Reaction index: Chemkin #6119; RMG #621620
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C8H14L(112)+C10H14R(18285)<=>C8H15L(61)+C10H13R(18278) 2.451708e+27 -4.376 7.246
-
-! Reaction index: Chemkin #6120; RMG #621690
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(108)+C10H14R(18285)<=>C7H13R(62)+C10H13R(18278) 2.451708e+27 -4.376 6.938
-
-! Reaction index: Chemkin #6121; RMG #621742
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(103)+C10H14R(18285)<=>C6H11L(63)+C10H13R(18278) 2.451708e+27 -4.376 6.938
-
-! Reaction index: Chemkin #6122; RMG #621782
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-CH3(74)+C10H14R(18285)<=>C(75)+C10H13R(18278) 2.451708e+27 -4.376 3.159
-
-! Reaction index: Chemkin #6123; RMG #621788
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(79)+C10H14R(18285)<=>C4H7R(81)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6124; RMG #621816
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-H(82)+C10H14R(18285)<=>[H][H](83)+C10H13R(18278) 2.451708e+27 -4.376 3.285
-
-! Reaction index: Chemkin #6125; RMG #621822
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C10H14R(18285)<=>C5H9L(84)+C10H13R(18278) 2.451708e+27 -4.376 6.927
-
-! Reaction index: Chemkin #6126; RMG #621862
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(90)+C10H14R(18285)<=>C6H11R(98)+C10H13R(18278) 2.451708e+27 -4.376 6.927
-
-! Reaction index: Chemkin #6127; RMG #621908
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(169)+C10H14R(18285)<=>C6H11L(107)+C10H13R(18278) 2.451708e+27 -4.376 7.246
-
-! Reaction index: Chemkin #6128; RMG #621920
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(103)+C10H14R(18285)<=>C6H11L(107)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6129; RMG #621954
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(113)+C10H14R(18285)<=>C6H10(110)+C10H13R(18278) 2.451708e+27 -4.376 8.172
-
-! Reaction index: Chemkin #6130; RMG #622010
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(199)+C10H14R(18285)<=>C7H13R(120)+C10H13R(18278) 2.451708e+27 -4.376 7.246
-
-! Reaction index: Chemkin #6131; RMG #622028
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(108)+C10H14R(18285)<=>C7H13R(120)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6132; RMG #622242
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H9L2(203)+C10H14R(18285)<=>CC(L)CC(C)L(35)+C10H13R(18278) 2.451708e+27 -4.376 4.530
-
-! Reaction index: Chemkin #6133; RMG #622548
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C8H16L(15)+C10H14R(18285)<=>C8H17L(49)+C10H13R(18278) 2.451708e+27 -4.376 4.192
-
-! Reaction index: Chemkin #6134; RMG #622608
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(219)+C10H14R(18285)<=>C3H5L(86)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6135; RMG #622654
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H15(85)+C10H14R(18285)<=>CC(C)CC(C)C(87)+C10H13R(18278) 2.451708e+27 -4.376 3.757
-
-! Reaction index: Chemkin #6136; RMG #622716
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H14R(18285)<=>CCC(95)+C10H13R(18278) 2.451708e+27 -4.376 4.174
-
-! Reaction index: Chemkin #6137; RMG #622722
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]CC(195)+C10H14R(18285)<=>CCC(95)+C10H13R(18278) 2.451708e+27 -4.376 3.682
-
-! Reaction index: Chemkin #6138; RMG #623018
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H9(160)+C10H14R(18285)<=>C6H10(116)+C10H13R(18278) 4.903416e+27 -4.376 7.511
-
-! Reaction index: Chemkin #6139; RMG #623024
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(114)+C10H14R(18285)<=>C6H10(116)+C10H13R(18278) 2.451708e+27 -4.376 7.511
-
-! Reaction index: Chemkin #6140; RMG #623104
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C10H14R(18285)<=>C6H8(118)+C10H13R(18278) 4.903416e+27 -4.376 6.908
-
-! Reaction index: Chemkin #6141; RMG #623110
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H14R(18285)<=>C6H8(118)+C10H13R(18278) 2.451708e+27 -4.376 8.083
-
-! Reaction index: Chemkin #6142; RMG #623166
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C10H14R(18285)<=>C6H8(125)+C10H13R(18278) 4.903416e+27 -4.376 6.989
-
-! Reaction index: Chemkin #6143; RMG #623296
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C4H7(156)+C10H14R(18285)<=>C4H8(157)+C10H13R(18278) 4.903416e+27 -4.376 5.872
-
-! Reaction index: Chemkin #6144; RMG #623392
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C5H7(174)+C10H14R(18285)<=>C5H8(173)+C10H13R(18278) 4.903416e+27 -4.376 8.083
-
-! Reaction index: Chemkin #6145; RMG #623460
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C5H7(178)+C10H14R(18285)<=>C5H8(180)+C10H13R(18278) 4.903416e+27 -4.376 7.511
-
-! Reaction index: Chemkin #6146; RMG #623480
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 30.0
-C5H5(189)+C10H14R(18285)<=>C5H6(187)+C10H13R(18278) 1.225854e+28 -4.376 6.892
-
-! Reaction index: Chemkin #6147; RMG #623888
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H8R(287)+C10H14R(18285)<=>C6H9R(285)+C10H13R(18278) 2.451708e+27 -4.376 8.083
-
-! Reaction index: Chemkin #6148; RMG #623950
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H14R(18285)<=>C6H8(290)+C10H13R(18278) 2.451708e+27 -4.376 8.907
-
-! Reaction index: Chemkin #6149; RMG #624006
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(169)+C10H14R(18285)<=>C6H11L(325)+C10H13R(18278) 2.451708e+27 -4.376 7.286
-
-! Reaction index: Chemkin #6150; RMG #624046
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(199)+C10H14R(18285)<=>C7H13R(330)+C10H13R(18278) 2.451708e+27 -4.376 7.286
-
-! Reaction index: Chemkin #6151; RMG #624098
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)C(399)+C10H14R(18285)<=>CC(C)C(29484)+C10H13R(18278) 2.451708e+27 -4.376 3.633
-
-! Reaction index: Chemkin #6152; RMG #624200
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H14R(18285)<=>C6H8(18175)+C10H13R(18278) 2.451708e+27 -4.376 10.091
-
-! Reaction index: Chemkin #6153; RMG #624918
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H14(179); C10H13(202), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H13(202)+C10H14R(18285)<=>C10H13R(18278)+C10H14(179) 2.451708e+27 -4.376 7.571
-
-! Reaction index: Chemkin #6154; RMG #625418
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C11H15(234)<=>C10H13R(18278)+C11H16(229) 2.451708e+27 -4.376 7.511
-
-! Reaction index: Chemkin #6155; RMG #627156
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C12H15(18406)<=>C10H13R(18278)+C12H16(18680) 2.451708e+27 -4.376 7.571
-
-! Reaction index: Chemkin #6156; RMG #148512
-! Library reaction: restart_edge
-! Flux pairs: C5H7(178), C11H14(18772); C6H7(239), C11H14(18772);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C6H7(239)<=>C11H14(18772) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #6157; RMG #549616
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H13(18468)<=>C9H17LR(65)+C11H14(18772) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6158; RMG #549617
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H13(18468)<=>C9H17LR(69)+C11H14(18772) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6159; RMG #549618
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6160; RMG #549619
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6161; RMG #549620
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C11H13(18468)<=>C9H17LR(72)+C11H14(18772) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6162; RMG #549621
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6163; RMG #549622
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6164; RMG #549623
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6165; RMG #549624
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C11H14(18772)<=>RC10L(1)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6166; RMG #549630
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C11H14(18772)<=>C3H5R(12)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6167; RMG #549638
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C11H14(18772)<=>CC(C)L(13)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6168; RMG #549644
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C11H13(18468)<=>C3H5(102)+C11H14(18772) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6169; RMG #549662
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C11H14(18772)<=>CC(C)CR(20)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6170; RMG #549664
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C11H14(18772)<=>CR(22)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6171; RMG #549673
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C11H14(18772)<=>C5H9L(24)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6172; RMG #549687
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C11H14(18772)<=>CC(C)CC(C)L(25)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6173; RMG #549692
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C11H14(18772)<=>CCL(26)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6174; RMG #549696
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C11H14(18772)<=>CCCR(27)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6175; RMG #550259
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C11H13(18468)<=>C6H10R(90)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6176; RMG #550262
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C11H14(18772)<=>C6H11R(56)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6177; RMG #550274
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C11H13(18468)<=>C5H8L(77)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6178; RMG #550276
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C11H14(18772)<=>C5H9L(57)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6179; RMG #550286
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C11H14(18772)<=>C3H5R(58)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6180; RMG #550295
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C11H14(18772)<=>C3H5L(59)+C11H13(18468) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6181; RMG #550304
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C11H14(18772)<=>C4H7R(60)+C11H13(18468) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6182; RMG #550305
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C11H14(18772)<=>C4H7R(60)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6183; RMG #550318
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C7H12R(108), C7H13R(62);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C11H14(18772)<=>C7H13R(62)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6184; RMG #550333
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H10L(103), C6H11L(63);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C11H14(18772)<=>C6H11L(63)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6185; RMG #550340
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C11H13(18468)<=>CH3(74)+C11H14(18772) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #6186; RMG #550345
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C11H14(18772)<=>C4H7R(81)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6187; RMG #550355
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C11H14(18772)<=>C5H9L(84)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6188; RMG #550379
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C11H13(18468)<=>C[CH]C(94)+C11H14(18772) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #6189; RMG #550380
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C11H14(18772)<=>CCC(95)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6190; RMG #550388
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(90), C6H11R(98);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C11H14(18772)<=>C6H11R(98)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6191; RMG #550417
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C11H13(18468)<=>C6H10L(169)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6192; RMG #550419
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C11H14(18772)<=>C6H11L(107)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6193; RMG #550607
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H9(160), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9(160)+C11H14(18772)<=>C6H10(116)+C11H13(18468) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6194; RMG #550608
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H9(114), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(114)+C11H14(18772)<=>C6H10(116)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6195; RMG #550718
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C11H13(18468)<=>C6H7(123)+C11H14(18772) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #6196; RMG #550719
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6197; RMG #550736
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C11H13(18468)<=>C6H7(123)+C11H14(18772) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #6198; RMG #550825
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C11H14(18772)<=>C4H8(157)+C11H13(18468) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6199; RMG #550974
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C5H7(178), C5H8(180);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C11H14(18772)<=>C5H8(180)+C11H13(18468) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6200; RMG #551032
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C11H13(18468)<=>C5H5(189)+C11H14(18772) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #6201; RMG #556456
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C11H14(18772)<=>C3H5L(86)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6202; RMG #556806
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C7H13R(120), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C11H13(18468)<=>C7H12R(199)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6203; RMG #556809
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C11H14(18772)<=>C7H13R(120)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6204; RMG #561389
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C11H13(18468)<=>C5H7(174)+C11H14(18772) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6205; RMG #564924
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C11H13(18468)<=>C6H10L(169)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6206; RMG #564949
-! Template reaction: H_Abstraction
-! Flux pairs: C11H13(18468), C11H14(18772); C7H13R(330), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C11H13(18468)<=>C7H12R(199)+C11H14(18772) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6207; RMG #572658
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C11H14(18772)<=>CCCC(C)L(16)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6208; RMG #585222
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C11H14(18772)<=>CCCC(C)CR(32)+C11H13(18468) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6209; RMG #588108
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C11H14(18772)<=>CC(C)CC(C)CR(23)+C11H13(18468) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6210; RMG #629357
-! Template reaction: R_Recombination
-! Flux pairs: C11H13(18468), C11H14(18772); H(82), C11H14(18772);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C11H13(18468)<=>C11H14(18772) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #6211; RMG #629567
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C11H13(18468)<=>C3H5R(12)+C11H14(18772) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #6212; RMG #629633
-! Template reaction: H_Abstraction
-! Flux pairs: C11H14(18772), C11H13(18468); C6H10R(171), C6H11R(17);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C11H14(18772)<=>C6H11R(17)+C11H13(18468) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6213; RMG #629689
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C11H13(18468)<=>C6H11R(17)+C11H14(18772) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #6214; RMG #629717
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C11H13(18468)<=>C3H6(18)+C11H14(18772) 2.105300e+14 -0.550 0.172
-
-! Reaction index: Chemkin #6215; RMG #629727
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C11H13(18468)<=>C3H6(18)+C11H14(18772) 2.451708e+27 -4.376 7.580
-
-! Reaction index: Chemkin #6216; RMG #629757
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C11H13(18468)<=>C2H3L(19)+C11H14(18772) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #6217; RMG #629865
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C11H13(18468)<=>C8H15L(21)+C11H14(18772) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #6218; RMG #629960
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C11H13(18468)<=>C5H9L(24)+C11H14(18772) 1.225854e+27 -4.376 7.493
-
-! Reaction index: Chemkin #6219; RMG #631525
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C11H13(18468)<=>C6H11R(56)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6220; RMG #631589
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C11H13(18468)<=>C5H9L(57)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6221; RMG #631652
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C11H13(18468)<=>C3H5R(58)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6222; RMG #631682
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C11H13(18468)<=>C3H5L(59)+C11H14(18772) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #6223; RMG #631730
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C11H13(18468)<=>C4H7R(60)+C11H14(18772) 5.258140e+13 -0.550 0.119
-
-! Reaction index: Chemkin #6224; RMG #631798
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C11H13(18468)<=>C8H15L(61)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6225; RMG #631870
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C11H13(18468)<=>C7H13R(62)+C11H14(18772) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6226; RMG #631934
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C11H13(18468)<=>C6H11L(63)+C11H14(18772) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6227; RMG #633044
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C11H13(18468), C11H14(18772);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C11H13(18468)<=>C6H9(113)+C11H14(18772) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6228; RMG #633361
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H13(18468)<=>C6H8(118)+C11H14(18772) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6229; RMG #633481
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C11H13(18468)<=>C6H8(125)+C11H14(18772) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6230; RMG #633491
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C11H13(18468)<=>C6H8(125)+C11H14(18772) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6231; RMG #633702
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C11H13(18468)<=>C4H8(157)+C11H14(18772) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6232; RMG #634125
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C10H13(202), C10H14(179);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H13(202)+C11H17(10750)<=>C10H14(179)+C11H16(11277) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6233; RMG #634635
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C11H13(18468)<=>C10H14(184)+C11H14(18772) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6234; RMG #634773
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C11H13(18468)<=>C5H6(187)+C11H14(18772) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6235; RMG #635005
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C11H13(18468)<=>C8H12(194)+C11H14(18772) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #6236; RMG #635269
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C11H13(18468)<=>C10H12(201)+C11H14(18772) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6237; RMG #636000
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C11H15(234), C11H16(229);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(234)+C11H17(10750)<=>C11H16(229)+C11H16(11277) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #6238; RMG #636247
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C11H13(18468), C11H14(18772);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #6239; RMG #636263
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C11H13(18468), C11H14(18772);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C11H13(18468)<=>C6H7(239)+C11H14(18772) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6240; RMG #636491
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C11H13(18468)<=>C10H13R(240)+C11H14(18772) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #6241; RMG #636765
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(18464), C11H14(246); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C11H15(18464)<=>C11H14(18772)+C11H14(246) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6242; RMG #636927
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C11H13(18468)<=>C6H6(252)+C11H14(18772) 1.350000e+03 2.700 0.437
-
-! Reaction index: Chemkin #6243; RMG #636947
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C11H13(18468)<=>C6H6(252)+C11H14(18772) 1.225854e+27 -4.376 11.468
-
-! Reaction index: Chemkin #6244; RMG #637343
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H14(257); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C12H15(18389)<=>C11H14(18772)+C12H14(257) 1.225854e+27 -4.376 11.386
-
-! Reaction index: Chemkin #6245; RMG #637773
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C11H13(18468)<=>C5H7L(262)+C11H14(18772) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6246; RMG #637803
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C11H13(18468)<=>C5H7L(262)+C11H14(18772) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6247; RMG #638525
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C12H15(323)<=>C10H13R(18278)+C12H16(269) 2.451708e+27 -4.376 7.571
-
-! Reaction index: Chemkin #6248; RMG #639255
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(256), C11H14(271); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C11H15(256)<=>C11H14(18772)+C11H14(271) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6249; RMG #639363
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C11H13(18468)<=>C9H12(272)+C11H14(18772) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #6250; RMG #639973
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C11H13(298)<=>C10H13R(18278)+C11H14(276) 2.451708e+27 -4.376 7.571
-
-! Reaction index: Chemkin #6251; RMG #640301
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H14(277); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C11H13(18468)+C12H15(22038)<=>C11H14(18772)+C12H14(277) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6252; RMG #640720
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C11H13(18468)<=>C6H9R(285)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6253; RMG #640730
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(285), C6H8R(287); C11H13(18468), C11H14(18772);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C11H13(18468)<=>C6H8R(287)+C11H14(18772) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6254; RMG #640870
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C11H13(18468)<=>C6H8(290)+C11H14(18772) 1.225854e+27 -4.376 11.307
-
-! Reaction index: Chemkin #6255; RMG #643666
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18680), C12H15(18406); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C12H16(18680)<=>CC(C)C(29484)+C12H15(18406) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6256; RMG #644368
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C11H13(18468)<=>C9H12(18323)+C11H14(18772) 1.225854e+27 -4.376 7.689
-
-! Reaction index: Chemkin #6257; RMG #644748
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C12H17(266)<=>C11H14(18772)+C12H16(18380) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6258; RMG #645680
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C11H13(18468)<=>C9H11R(18275)+C11H14(18772) 1.225854e+27 -4.376 7.361
-
-! Reaction index: Chemkin #6259; RMG #646134
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C11H13(18468)<=>C10H13R(18283)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6260; RMG #647834
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C11H17(238)<=>C11H14(18772)+C11H16(11281) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6261; RMG #647844
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C11H17(181)<=>C11H14(18772)+C11H16(11281) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6262; RMG #648186
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C11H13(18468)<=>C9H11L(18431)+C11H14(18772) 1.225854e+27 -4.376 7.503
-
-! Reaction index: Chemkin #6263; RMG #648660
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C11H13(18468), C11H14(18772);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H13(18468)+C11H17(10750)<=>C11H14(18772)+C11H16(11277) 1.225854e+27 -4.376 10.132
-
-! Reaction index: Chemkin #6264; RMG #648876
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C11H13(18468)<=>C10H13R(18278)+C11H14(18772) 2.451708e+27 -4.376 7.571
-
-! Reaction index: Chemkin #6265; RMG #144496
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C5H8(173), C11H15(18454); C6H7(239), C11H15(18454);
-! Estimated using template [Cds-CsH_Cds-CdH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CdH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C5H8(173)+C6H7(239)<=>C11H15(18454) 1.190000e+04 2.410 10.290
-
-! Reaction index: Chemkin #6266; RMG #22703
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H10R(90); C6H9R(1802), C6H10R(90);
-! From training reaction 2544 used for Cds-HH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H9R(1802)<=>C6H10R(90) 2.310000e+08 1.640 -0.470
-
-! Reaction index: Chemkin #6267; RMG #23209
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(90)<=>C5H9L(57)+C6H9R(1802) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #6268; RMG #23216
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H10R(90)<=>C5H9L(84)+C6H9R(1802) 1.225850e+27 -4.376 9.545
-
-! Reaction index: Chemkin #6269; RMG #23222
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H10R(90)<=>C3H5R(12)+C6H9R(1802) 1.225850e+27 -4.376 9.405
-
-! Reaction index: Chemkin #6270; RMG #23228
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4R(78)+C6H10R(90)<=>C3H5R(58)+C6H9R(1802) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6271; RMG #23233
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H10R(90)<=>C4H7R(60)+C6H9R(1802) 1.225850e+27 -4.376 9.405
-
-! Reaction index: Chemkin #6272; RMG #23238
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6R(79)+C6H10R(90)<=>C4H7R(81)+C6H9R(1802) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6273; RMG #23272
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H10R(90)<=>C5H9L(24)+C6H9R(1802) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #6274; RMG #23278
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(89)+C6H10R(90)<=>C5H9L(57)+C6H9R(1802) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6275; RMG #23283
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 1.225850e+27 -4.376 9.934
-
-! Reaction index: Chemkin #6276; RMG #23287
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(98); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C6H10R(90)<=>C6H9R(1802)+C6H11R(98) 1.225850e+27 -4.376 9.545
-
-! Reaction index: Chemkin #6277; RMG #29566
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H5(102)+C6H10R(90)<=>C3H6(18)+C6H9R(1802) 2.451710e+27 -4.376 8.636
-
-! Reaction index: Chemkin #6278; RMG #30166
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11L(63); C6H10L(103), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C6H10R(90)<=>C6H9R(1802)+C6H11L(63) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #6279; RMG #30168
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11L(107); C6H10L(103), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10L(103)+C6H10R(90)<=>C6H9R(1802)+C6H11L(107) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6280; RMG #36169
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H12R(108)<=>C6H9R(1802)+C7H13R(62) 1.225850e+27 -4.376 9.560
-
-! Reaction index: Chemkin #6281; RMG #36171
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H12R(108)<=>C6H9R(1802)+C7H13R(120) 1.225850e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6282; RMG #42735
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H10(110); C6H9(113), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(113)+C6H10R(90)<=>C6H9R(1802)+C6H10(110) 1.225850e+27 -4.376 11.055
-
-! Reaction index: Chemkin #6283; RMG #42752
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H10(116); C6H9(114), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C6H10R(90)<=>C6H9R(1802)+C6H10(116) 1.225850e+27 -4.376 10.255
-
-! Reaction index: Chemkin #6284; RMG #72144
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(147)+C6H10R(90)<=>C3H5L(59)+C6H9R(1802) 2.451710e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6285; RMG #72149
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H7(156)+C6H10R(90)<=>C4H8(157)+C6H9R(1802) 2.451710e+27 -4.376 8.251
-
-! Reaction index: Chemkin #6286; RMG #77546
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H10R(171); C6H9R(1802), C6H10R(171);
-! From training reaction 2570 used for Cds-CsCs_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-CsCs_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H9R(1802)<=>C6H10R(171) 7.170000e+07 1.640 1.180
-
-! Reaction index: Chemkin #6287; RMG #82625
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(174)+C6H10R(90)<=>C5H8(173)+C6H9R(1802) 2.451710e+27 -4.376 10.947
-
-! Reaction index: Chemkin #6288; RMG #83350
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H7(178)+C6H10R(90)<=>C5H8(180)+C6H9R(1802) 2.451710e+27 -4.376 10.255
-
-! Reaction index: Chemkin #6289; RMG #144140
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H10R(90)<=>C6H8(118)+C6H9R(1802) 1.225850e+27 -4.376 10.947
-
-! Reaction index: Chemkin #6290; RMG #144143
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H10R(90)<=>C6H8(18175)+C6H9R(1802) 1.225850e+27 -4.376 13.349
-
-! Reaction index: Chemkin #6291; RMG #144145
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(239)+C6H10R(90)<=>C6H8(290)+C6H9R(1802) 1.225850e+27 -4.376 11.938
-
-! Reaction index: Chemkin #6292; RMG #271934
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(65); C6H8R(287), C6H9R(1802);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(65) 6.950000e-03 4.340 19.090
-
-! Reaction index: Chemkin #6293; RMG #271935
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(69); C6H8R(287), C6H9R(1802);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(69) 6.950000e-03 4.340 19.090
-
-! Reaction index: Chemkin #6294; RMG #271936
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(66), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(66)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6295; RMG #271937
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(68), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(68)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6296; RMG #271938
-! Template reaction: H_Abstraction
-! Flux pairs: RC10L(1), C9H17LR(72); C6H8R(287), C6H9R(1802);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+RC10L(1)<=>C6H9R(1802)+C9H17LR(72) 6.950000e-03 4.340 19.090
-
-! Reaction index: Chemkin #6297; RMG #271939
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(73), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(73)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6298; RMG #271940
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(71), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(71)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6299; RMG #271941
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(67), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(67)<=>C6H8R(287)+RC10L(1) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6300; RMG #271942
-! Template reaction: H_Abstraction
-! Flux pairs: C9H17LR(70), RC10L(1); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C9H17LR(70)<=>C6H8R(287)+RC10L(1) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6301; RMG #271968
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20R(64), RC10(2); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C10H20R(64)<=>C6H8R(287)+RC10(2) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6302; RMG #271994
-! Template reaction: H_Abstraction
-! Flux pairs: C10H20L(76), LC10(3); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C10H20L(76)<=>C6H8R(287)+LC10(3) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6303; RMG #272004
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H9R(1802)<=>C3H5R(12)+C6H8R(287) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6304; RMG #272013
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C6H9R(1802)<=>CC(C)L(13)+C6H8R(287) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6305; RMG #272035
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C6H9R(1802)<=>CCCC(C)L(16)+C6H8R(287) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6306; RMG #272054
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(17); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H10R(171)<=>C6H8R(287)+C6H11R(17) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6307; RMG #272080
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C6H8R(287)<=>C3H5(102)+C6H9R(1802) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6308; RMG #272104
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C6H9R(1802)<=>CC(C)CR(20)+C6H8R(287) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6309; RMG #272136
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C6H9R(1802)<=>CR(22)+C6H8R(287) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6310; RMG #272153
-! Template reaction: H_Abstraction
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C7H14R(9)<=>C6H8R(287)+CC(C)CC(C)CR(23) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6311; RMG #272168
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H9R(1802)<=>C5H9L(24)+C6H8R(287) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6312; RMG #272186
-! Template reaction: H_Abstraction
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H12L(11)<=>C6H8R(287)+CC(C)CC(C)L(25) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6313; RMG #272192
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C6H9R(1802)<=>CCL(26)+C6H8R(287) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6314; RMG #272198
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C6H9R(1802)<=>CCCR(27)+C6H8R(287) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6315; RMG #272358
-! Template reaction: H_Abstraction
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C[CH]CC(C)CR(5)<=>C6H8R(287)+CCCC(C)CR(32) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6316; RMG #272404
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C6H8R(287)<=>C5H9L2(203)+C6H9R(1802) 1.390000e-02 4.340 19.090
-
-! Reaction index: Chemkin #6317; RMG #272800
-! Template reaction: H_Abstraction
-! Flux pairs: C8H16L(15), C8H17L(49); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C8H16L(15)<=>C6H8R(287)+C8H17L(49) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6318; RMG #272836
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11R(56), C6H10R(90); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11R(56)<=>C6H9R(1802)+C6H10R(90) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6319; RMG #272839
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(171), C6H11R(56); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H10R(171)<=>C6H8R(287)+C6H11R(56) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6320; RMG #272856
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C6H8R(287)<=>C5H8L(77)+C6H9R(1802) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6321; RMG #272858
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C6H9R(1802)<=>C5H9L(57)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6322; RMG #272872
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C6H9R(1802)<=>C3H5R(58)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6323; RMG #272883
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C6H9R(1802)<=>C3H5L(59)+C6H8R(287) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6324; RMG #272894
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C6H9R(1802)<=>C4H7R(60)+C6H8R(287) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6325; RMG #272895
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H9R(1802)<=>C4H7R(60)+C6H8R(287) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6326; RMG #272918
-! Template reaction: H_Abstraction
-! Flux pairs: C8H15L(61), C8H14L(112); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C8H15L(61)<=>C6H9R(1802)+C8H14L(112) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6327; RMG #272944
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(62); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C7H12R(108)<=>C6H8R(287)+C7H13R(62) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6328; RMG #272965
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(63); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H10L(103)<=>C6H8R(287)+C6H11L(63) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6329; RMG #272972
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C6H8R(287)<=>CH3(74)+C6H9R(1802) 4.240000e-02 4.340 27.670
-
-! Reaction index: Chemkin #6330; RMG #272988
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C6H9R(1802)<=>C4H7R(81)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6331; RMG #272993
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 112.1 to 113.1 kJ/mol to match endothermicity of reaction.
-! Ea raised from 113.1 to 113.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C6H8R(287)<=>H(82)+C6H9R(1802) 4.580000e-02 4.340 27.040
-
-! Reaction index: Chemkin #6332; RMG #273005
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C6H9R(1802)<=>C5H9L(84)+C6H8R(287) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6333; RMG #273020
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C6H9R(1802)<=>C3H5L(86)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6334; RMG #273038
-! Template reaction: H_Abstraction
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C7H15(85)<=>C6H8R(287)+CC(C)CC(C)C(87) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6335; RMG #273064
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C6H8R(287)<=>C[CH]C(94)+C6H9R(1802) 1.476000e-02 4.340 21.145
-
-! Reaction index: Chemkin #6336; RMG #273065
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C6H9R(1802)<=>CCC(95)+C6H8R(287) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6337; RMG #273079
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10R(90), C6H11R(98); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H10R(90)<=>C6H8R(287)+C6H11R(98) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6338; RMG #273149
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(107), C6H10L(169); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11L(107)<=>C6H9R(1802)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6339; RMG #273151
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10L(103), C6H11L(107); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H10L(103)<=>C6H8R(287)+C6H11L(107) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6340; RMG #273173
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(113), C6H10(110); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H9(113)<=>C6H8R(287)+C6H10(110) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6341; RMG #273233
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H9(114)<=>C6H8(125)+C6H9R(1802) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6342; RMG #273234
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C6H9(114)<=>C6H8(290)+C6H9R(1802) 1.225850e+27 -4.376 12.818
-
-! Reaction index: Chemkin #6343; RMG #273241
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H9R(1802); C6H8R(287), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H9(114)<=>C6H8(118)+C6H9R(1802) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6344; RMG #273298
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(160), C6H10(116); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9R(1802)+C6H9(160)<=>C6H8R(287)+C6H10(116) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6345; RMG #273299
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9(114), C6H10(116); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C6H9(114)<=>C6H8R(287)+C6H10(116) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6346; RMG #273387
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C6H8R(287)<=>C6H7(123)+C6H9R(1802) 1.962000e-03 4.340 7.430
-
-! Reaction index: Chemkin #6347; RMG #273388
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C6H7(239), C6H8(118);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H7(239)+C6H9R(1802)<=>C6H8(118)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6348; RMG #273408
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(120), C7H12R(199); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C7H13R(120)<=>C6H9R(1802)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6349; RMG #273411
-! Template reaction: H_Abstraction
-! Flux pairs: C7H12R(108), C7H13R(120); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C7H12R(108)<=>C6H8R(287)+C7H13R(120) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6350; RMG #273432
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C6H8R(287)<=>C6H7(123)+C6H9R(1802) 1.962000e-03 4.340 7.080
-
-! Reaction index: Chemkin #6351; RMG #273505
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C6H9R(1802)<=>C4H8(157)+C6H8R(287) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6352; RMG #273513
-! Library reaction: restart_edge
-! Flux pairs: C6H9(160), C6H9R(1802); C6H8R(287), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H8R(287)+C6H9(160)<=>C6H8(125)+C6H9R(1802) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6353; RMG #273562
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C5H7(174), C5H8(173);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(174)+C6H9R(1802)<=>C5H8(173)+C6H8R(287) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6354; RMG #273588
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H8R(287)<=>C5H6(187)+C6H9R(1802) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6355; RMG #273625
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13(202), C10H14(179); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C10H13(202)<=>C6H8R(287)+C10H14(179) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6356; RMG #273646
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C5H7(178), C5H8(180);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H7(178)+C6H9R(1802)<=>C5H8(180)+C6H8R(287) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6357; RMG #273679
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C6H8R(287)<=>C5H5(189)+C6H9R(1802) 1.962000e-03 4.340 7.502
-
-! Reaction index: Chemkin #6358; RMG #274050
-! Template reaction: H_Abstraction
-! Flux pairs: C11H15(234), C11H16(229); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C11H15(234)<=>C6H8R(287)+C11H16(229) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6359; RMG #274070
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H8R(287)<=>C6H6(252)+C6H9R(1802) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6360; RMG #274695
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H9R(285); C6H8R(287), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8R(287)+C6H9R(1802)<=>C6H8R(287)+C6H9R(285) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6361; RMG #279699
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C6H8R(287)<=>C6H7(239)+C6H9R(1802) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6362; RMG #285386
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H8R(287)<=>C2H3L(19)+C6H9R(1802) 1.225850e+27 -4.376 8.888
-
-! Reaction index: Chemkin #6363; RMG #285472
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C6H8R(287)<=>C5H7L(262)+C6H9R(1802) 1.225850e+27 -4.376 11.760
-
-! Reaction index: Chemkin #6364; RMG #285503
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(285) 1.547940e+12 0.025 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #6365; RMG #285507
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(285); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(285) 1.225850e+27 -4.376 10.947
-DUPLICATE
-
-! Reaction index: Chemkin #6366; RMG #285511
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C6H10R(90)<=>C6H9R(1802)+C6H9R(1802) 1.225850e+27 -4.376 11.760
-
-! Reaction index: Chemkin #6367; RMG #295164
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H8R(287)<=>C3H5R(58)+C6H9R(1802) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6368; RMG #295165
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H8R(287)<=>C3H5R(12)+C6H9R(1802) 1.225850e+27 -4.376 8.888
-
-! Reaction index: Chemkin #6369; RMG #350005
-! Template reaction: H_Abstraction
-! Flux pairs: C6H11L(325), C6H10L(169); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C6H11L(325)<=>C6H9R(1802)+C6H10L(169) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6370; RMG #371328
-! Template reaction: H_Abstraction
-! Flux pairs: C7H13R(330), C7H12R(199); C6H8R(287), C6H9R(1802);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H8R(287)+C7H13R(330)<=>C6H9R(1802)+C7H12R(199) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6371; RMG #393269
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C6H8R(287)<=>C3H6(18)+C6H9R(1802) 2.451710e+27 -4.376 8.769
-
-! Reaction index: Chemkin #6372; RMG #393325
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C6H8R(287)<=>C6H6(252)+C6H9R(1802) 1.225850e+27 -4.376 12.991
-
-! Reaction index: Chemkin #6373; RMG #408626
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H7(239)+C6H10R(171)<=>C6H8(118)+C6H9R(1802) 7.830000e+11 0.000 1.042
-
-! Reaction index: Chemkin #6374; RMG #408630
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C6H10R(171)<=>C6H8(18175)+C6H9R(1802) 5.258140e+13 -0.550 2.163
-
-! Reaction index: Chemkin #6375; RMG #408633
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H7(239)+C6H10R(171)<=>C6H8(290)+C6H9R(1802) 5.258140e+13 -0.550 1.466
-
-! Reaction index: Chemkin #6376; RMG #409808
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C6H9R(1802)<=>CC(C)C(29484)+C6H8R(287) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6377; RMG #468439
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H8(18175), C6H7(239);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C6H8R(287)<=>C6H7(239)+C6H9R(1802) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #6378; RMG #509806
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C12H15(18406), C12H16(18680);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C12H15(18406)<=>C6H8R(287)+C12H16(18680) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6379; RMG #640762
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C11H13(18468), C11H14(18772);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C11H13(18468)<=>C6H8R(287)+C11H14(18772) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6380; RMG #648986
-! Template reaction: R_Recombination
-! Flux pairs: C6H8R(287), C6H9R(1802); H(82), C6H9R(1802);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C6H8R(287)<=>C6H9R(1802) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #6381; RMG #648991
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(65)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6382; RMG #648994
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(65)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #6383; RMG #648995
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(69)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6384; RMG #648998
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(69)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #6385; RMG #648999
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(66)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6386; RMG #649002
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(66)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6387; RMG #649003
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(68)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6388; RMG #649006
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(68)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6389; RMG #649007
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(72)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6390; RMG #649010
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(72)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #6391; RMG #649011
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C9H17LR(73)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6392; RMG #649014
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(73)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6393; RMG #649015
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C9H17LR(71)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6394; RMG #649018
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(71)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6395; RMG #649019
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C9H17LR(67)<=>C6H9R(1802)+RC10L(1) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6396; RMG #649022
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(67)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6397; RMG #649023
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C9H17LR(70)<=>C6H9R(1802)+RC10L(1) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6398; RMG #649026
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C9H17LR(70)<=>C6H9R(1802)+RC10L(1) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6399; RMG #649059
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C10H20R(64)<=>C6H9R(1802)+RC10(2) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6400; RMG #649062
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H20R(64)<=>C6H9R(1802)+RC10(2) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6401; RMG #649095
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C10H20L(76)<=>C6H9R(1802)+LC10(3) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6402; RMG #649098
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H20L(76)<=>C6H9R(1802)+LC10(3) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6403; RMG #649099
-! Template reaction: Disproportionation
-! Flux pairs: C3H4R(78), C6H9R(1802); C6H10R(171), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C3H4R(78)+C6H10R(171)<=>C3H5R(12)+C6H9R(1802) 5.258140e+13 -0.550 0.505
-
-! Reaction index: Chemkin #6404; RMG #649123
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C6H10R(171)<=>CC(C)L(13)+C6H9R(1802) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6405; RMG #649126
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)L(4)+C6H10R(90)<=>CC(C)L(13)+C6H9R(1802) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6406; RMG #649135
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CC(C)L(7)+C6H10R(171)<=>CCCC(C)L(16)+C6H9R(1802) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6407; RMG #649138
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H10R(90)<=>CCCC(C)L(16)+C6H9R(1802) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6408; RMG #649151
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(17); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H10R(171)<=>C6H9R(1802)+C6H11R(17) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #6409; RMG #649154
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(17); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(17) 1.225854e+27 -4.376 9.560
-
-! Reaction index: Chemkin #6410; RMG #649177
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+C6H11R(17) 1.225854e+27 -4.376 8.674
-
-! Reaction index: Chemkin #6411; RMG #649181
-! Template reaction: Disproportionation
-! Flux pairs: C3H5(102), C6H9R(1802); C6H10R(171), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H5(102)+C6H10R(171)<=>C3H6(18)+C6H9R(1802) 1.566000e+12 0.000 0.301
-
-! Reaction index: Chemkin #6412; RMG #649193
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H8R(287)<=>C3H6(18)+C6H9R(1802) 2.105300e+14 -0.550 0.461
-
-! Reaction index: Chemkin #6413; RMG #649226
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)CR(6)+C6H10R(171)<=>CC(C)CR(20)+C6H9R(1802) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6414; RMG #649229
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)CR(6)+C6H10R(90)<=>CC(C)CR(20)+C6H9R(1802) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6415; RMG #649268
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(21); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C8H16L(15)<=>C6H9R(1802)+C8H15L(21) 1.225854e+27 -4.376 8.674
-
-! Reaction index: Chemkin #6416; RMG #649272
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]R(14), CR(22); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]R(14)+C6H10R(171)<=>CR(22)+C6H9R(1802) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6417; RMG #649275
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]R(14)+C6H10R(90)<=>CR(22)+C6H9R(1802) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6418; RMG #649296
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C7H14R(9)<=>C6H9R(1802)+CC(C)CC(C)CR(23) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6419; RMG #649299
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H14R(9)<=>C6H9R(1802)+CC(C)CC(C)CR(23) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6420; RMG #649304
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H10R(171)<=>C5H9L(24)+C6H9R(1802) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #6421; RMG #649325
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(24)+C6H9R(1802) 1.225854e+27 -4.376 8.674
-
-! Reaction index: Chemkin #6422; RMG #649341
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C6H12L(11)<=>C6H9R(1802)+CC(C)CC(C)L(25) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6423; RMG #649344
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C6H12L(11)<=>C6H9R(1802)+CC(C)CC(C)L(25) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6424; RMG #649353
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]L(8)+C6H10R(171)<=>CCL(26)+C6H9R(1802) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6425; RMG #649356
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C6H10R(90)<=>CCL(26)+C6H9R(1802) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6426; RMG #649357
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CR(10), CCCR(27); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]CR(10)+C6H10R(171)<=>CCCR(27)+C6H9R(1802) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6427; RMG #649360
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C6H10R(90)<=>CCCR(27)+C6H9R(1802) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6428; RMG #649497
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+CCCC(C)CR(32) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6429; RMG #649500
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+CCCC(C)CR(32) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6430; RMG #649557
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H9L2(203)+C6H10R(171)<=>CC(L)CC(C)L(35)+C6H9R(1802) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6431; RMG #649560
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H9L2(203)+C6H10R(90)<=>CC(L)CC(C)L(35)+C6H9R(1802) 1.225854e+27 -4.376 6.578
-
-! Reaction index: Chemkin #6432; RMG #649889
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C8H16L(15)<=>C6H9R(1802)+C8H17L(49) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6433; RMG #649892
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H17L(49); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H16L(15)<=>C6H9R(1802)+C8H17L(49) 1.225854e+27 -4.376 6.150
-
-! Reaction index: Chemkin #6434; RMG #649929
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 5.258140e+13 -0.550 0.671
-DUPLICATE
-
-! Reaction index: Chemkin #6435; RMG #649940
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(56); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C6H10R(171)<=>C6H9R(1802)+C6H11R(56) 1.566000e+12 0.000 0.294
-
-! Reaction index: Chemkin #6436; RMG #649943
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(56); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(56) 1.225854e+27 -4.376 8.605
-DUPLICATE
-
-! Reaction index: Chemkin #6437; RMG #649953
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C[CH]CC(C)CR(5)<=>C6H9R(1802)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6438; RMG #649962
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(77), C6H9R(1802); C6H10R(171), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C6H10R(171)<=>C5H9L(57)+C6H9R(1802) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #6439; RMG #649969
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C5H8L(89)+C6H10R(171)<=>C5H9L(57)+C6H9R(1802) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6440; RMG #649981
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H8R(287)<=>C5H9L(57)+C6H9R(1802) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6441; RMG #649990
-! Template reaction: Disproportionation
-! Flux pairs: C3H4R(78), C6H9R(1802); C6H10R(171), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4R(78)+C6H10R(171)<=>C3H5R(58)+C6H9R(1802) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6442; RMG #650010
-! Template reaction: Disproportionation
-! Flux pairs: C3H4L(147), C6H9R(1802); C6H10R(171), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(147)+C6H10R(171)<=>C3H5L(59)+C6H9R(1802) 1.566000e+12 0.000 0.294
-
-! Reaction index: Chemkin #6443; RMG #650018
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C6H8R(287)<=>C3H5L(59)+C6H9R(1802) 5.258140e+13 -0.550 0.368
-
-! Reaction index: Chemkin #6444; RMG #650027
-! Template reaction: Disproportionation
-! Flux pairs: C4H6R(224), C6H9R(1802); C6H10R(171), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C6H10R(171)<=>C4H7R(60)+C6H9R(1802) 1.566000e+12 0.000 0.294
-
-! Reaction index: Chemkin #6445; RMG #650030
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(224)+C6H10R(90)<=>C4H7R(60)+C6H9R(1802) 2.451708e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6446; RMG #650031
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C4H6R(79)+C6H10R(171)<=>C4H7R(60)+C6H9R(1802) 5.258140e+13 -0.550 0.505
-
-! Reaction index: Chemkin #6447; RMG #650039
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C6H8R(287)<=>C4H7R(60)+C6H9R(1802) 5.258140e+13 -0.550 0.368
-
-! Reaction index: Chemkin #6448; RMG #650048
-! Template reaction: Disproportionation
-! Flux pairs: C8H14L(112), C6H9R(1802); C6H10R(171), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C8H14L(112)<=>C6H9R(1802)+C8H15L(61) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #6449; RMG #650051
-! Template reaction: Disproportionation
-! Flux pairs: C8H14L(112), C8H15L(61); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C8H14L(112)<=>C6H9R(1802)+C8H15L(61) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #6450; RMG #650081
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(61); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C8H16L(15)<=>C6H9R(1802)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6451; RMG #650094
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(62); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C7H12R(108)<=>C6H9R(1802)+C7H13R(62) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #6452; RMG #650114
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), C7H13R(62); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H8R(287)+C7H14R(9)<=>C6H9R(1802)+C7H13R(62) 5.258140e+13 -0.550 0.314
-
-! Reaction index: Chemkin #6453; RMG #650127
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11L(63); C6H10L(103), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10L(103)+C6H10R(171)<=>C6H9R(1802)+C6H11L(63) 5.258140e+13 -0.550 0.551
-
-! Reaction index: Chemkin #6454; RMG #650143
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), C6H11L(63); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H8R(287)+C6H12L(11)<=>C6H9R(1802)+C6H11L(63) 5.258140e+13 -0.550 0.314
-
-! Reaction index: Chemkin #6455; RMG #650152
-! Template reaction: Disproportionation
-! Flux pairs: CH3(74), C(75); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C
-CH3(74)+C6H10R(171)<=>C(75)+C6H9R(1802) 3.543620e+12 -0.187 0.000
-
-! Reaction index: Chemkin #6456; RMG #650155
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-CH3(74)+C6H10R(90)<=>C(75)+C6H9R(1802) 1.225854e+27 -4.376 4.826
-
-! Reaction index: Chemkin #6457; RMG #650172
-! Template reaction: Disproportionation
-! Flux pairs: C4H6R(79), C6H9R(1802); C6H10R(171), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6R(79)+C6H10R(171)<=>C4H7R(81)+C6H9R(1802) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6458; RMG #650189
-! Template reaction: Disproportionation
-! Flux pairs: H(82), [H][H](83); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C_4HS->H
-H(82)+C6H10R(171)<=>[H][H](83)+C6H9R(1802) 9.040000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6459; RMG #650192
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-H(82)+C6H10R(90)<=>[H][H](83)+C6H9R(1802) 1.225854e+27 -4.376 4.989
-
-! Reaction index: Chemkin #6460; RMG #650193
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(77), C6H9R(1802); C6H10R(171), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(77)+C6H10R(171)<=>C5H9L(84)+C6H9R(1802) 5.258140e+13 -0.550 0.547
-
-! Reaction index: Chemkin #6461; RMG #650218
-! Template reaction: Disproportionation
-! Flux pairs: C3H4L(219), C6H9R(1802); C6H10R(171), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C3H4L(219)+C6H10R(171)<=>C3H5L(86)+C6H9R(1802) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6462; RMG #650221
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C3H4L(219)+C6H10R(90)<=>C3H5L(86)+C6H9R(1802) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6463; RMG #650248
-! Template reaction: Disproportionation
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C7H15(85)<=>C6H9R(1802)+CC(C)CC(C)C(87) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6464; RMG #650251
-! Template reaction: Disproportionation
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H15(85)<=>C6H9R(1802)+CC(C)CC(C)C(87) 1.225854e+27 -4.376 5.597
-
-! Reaction index: Chemkin #6465; RMG #650304
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]C(94), CCC(95); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C[CH]C(94)+C6H10R(171)<=>CCC(95)+C6H9R(1802) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #6466; RMG #650307
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]C(94)+C6H10R(90)<=>CCC(95)+C6H9R(1802) 1.225854e+27 -4.376 6.128
-
-! Reaction index: Chemkin #6467; RMG #650308
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]CC(195)+C6H10R(171)<=>CCC(95)+C6H9R(1802) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6468; RMG #650311
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]CC(195)+C6H10R(90)<=>CCC(95)+C6H9R(1802) 1.225854e+27 -4.376 5.501
-
-! Reaction index: Chemkin #6469; RMG #650312
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H10R(171), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H10R(90)<=>C6H9R(1802)+C6H11R(98) 5.258140e+13 -0.550 0.547
-
-! Reaction index: Chemkin #6470; RMG #650421
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H9R(1802); C6H10R(171), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H10L(169)<=>C6H9R(1802)+C6H11L(107) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #6471; RMG #650424
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(107); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C6H10L(169)<=>C6H9R(1802)+C6H11L(107) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #6472; RMG #650429
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11L(107); C6H10L(103), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10L(103)+C6H10R(171)<=>C6H9R(1802)+C6H11L(107) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6473; RMG #650450
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H10(110); C6H9(113), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H9(113)+C6H10R(171)<=>C6H9R(1802)+C6H10(110) 7.830000e+11 0.000 1.085
-
-! Reaction index: Chemkin #6474; RMG #650593
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H10(116); C6H9(160), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H9(160)+C6H10R(171)<=>C6H9R(1802)+C6H10(116) 1.051628e+14 -0.550 0.781
-
-! Reaction index: Chemkin #6475; RMG #650596
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H10(116); C6H9(160), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(160)+C6H10R(90)<=>C6H9R(1802)+C6H10(116) 2.451708e+27 -4.376 10.255
-
-! Reaction index: Chemkin #6476; RMG #650597
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H10(116); C6H9(114), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H9(114)+C6H10R(171)<=>C6H9R(1802)+C6H10(116) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #6477; RMG #650648
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H9R(1802); C6H10R(171), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C6H10R(171)<=>C6H8(118)+C6H9R(1802) 1.051628e+14 -0.550 0.540
-
-! Reaction index: Chemkin #6478; RMG #650651
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C6H10R(90)<=>C6H8(118)+C6H9R(1802) 2.451708e+27 -4.376 9.523
-
-! Reaction index: Chemkin #6479; RMG #650685
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C6H9R(1802); C6H10R(171), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C7H12R(199)<=>C6H9R(1802)+C7H13R(120) 5.258140e+13 -0.550 0.671
-
-! Reaction index: Chemkin #6480; RMG #650688
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(120); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H12R(199)<=>C6H9R(1802)+C7H13R(120) 1.225854e+27 -4.376 9.934
-
-! Reaction index: Chemkin #6481; RMG #650697
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(120); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H10R(171)+C7H12R(108)<=>C6H9R(1802)+C7H13R(120) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6482; RMG #650714
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H9R(1802); C6H10R(171), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(123)+C6H10R(171)<=>C6H8(125)+C6H9R(1802) 1.051628e+14 -0.550 0.571
-
-! Reaction index: Chemkin #6483; RMG #650717
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(123)+C6H10R(90)<=>C6H8(125)+C6H9R(1802) 2.451708e+27 -4.376 9.622
-
-! Reaction index: Chemkin #6484; RMG #650796
-! Template reaction: Disproportionation
-! Flux pairs: C4H7(156), C6H9R(1802); C6H10R(171), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C6H10R(171)<=>C4H8(157)+C6H9R(1802) 1.566000e+12 0.000 0.217
-
-! Reaction index: Chemkin #6485; RMG #650804
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C6H8R(287)<=>C4H8(157)+C6H9R(1802) 5.258140e+13 -0.550 0.304
-
-! Reaction index: Chemkin #6486; RMG #650857
-! Template reaction: Disproportionation
-! Flux pairs: C5H7(174), C6H9R(1802); C6H10R(171), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(174)+C6H10R(171)<=>C5H8(173)+C6H9R(1802) 1.566000e+12 0.000 1.042
-
-! Reaction index: Chemkin #6487; RMG #650900
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 2.0
-C5H7(178)+C6H10R(171)<=>C5H8(180)+C6H9R(1802) 1.051628e+14 -0.550 0.781
-
-! Reaction index: Chemkin #6488; RMG #650912
-! Template reaction: Disproportionation
-! Flux pairs: C5H5(189), C6H9R(1802); C6H10R(171), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-! Multiplied by reaction path degeneracy 5.0
-C5H5(189)+C6H10R(171)<=>C5H6(187)+C6H9R(1802) 2.629070e+14 -0.550 0.534
-
-! Reaction index: Chemkin #6489; RMG #650915
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 15.0
-C5H5(189)+C6H10R(90)<=>C5H6(187)+C6H9R(1802) 6.129270e+27 -4.376 9.503
-
-! Reaction index: Chemkin #6490; RMG #651087
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C6H8R(287)<=>C5H7L(262)+C6H9R(1802) 5.258140e+13 -0.550 1.386
-
-! Reaction index: Chemkin #6491; RMG #651109
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(285); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C6H8R(287)+C6H10R(171)<=>C6H9R(1802)+C6H9R(285) 7.830000e+11 0.000 1.042
-
-! Reaction index: Chemkin #6492; RMG #651180
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H9R(1802); C6H10R(171), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C6H10L(169)<=>C6H9R(1802)+C6H11L(325) 5.258140e+13 -0.550 0.687
-
-! Reaction index: Chemkin #6493; RMG #651183
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(325); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C6H10L(169)<=>C6H9R(1802)+C6H11L(325) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #6494; RMG #651206
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C6H9R(1802); C6H10R(171), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C7H12R(199)<=>C6H9R(1802)+C7H13R(330) 5.258140e+13 -0.550 0.687
-
-! Reaction index: Chemkin #6495; RMG #651209
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(330); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C7H12R(199)<=>C6H9R(1802)+C7H13R(330) 1.225854e+27 -4.376 9.983
-
-! Reaction index: Chemkin #6496; RMG #651240
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)C(399)+C6H10R(171)<=>CC(C)C(29484)+C6H9R(1802) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6497; RMG #651243
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-[CH2]C(C)C(399)+C6H10R(90)<=>CC(C)C(29484)+C6H9R(1802) 1.225854e+27 -4.376 5.437
-
-! Reaction index: Chemkin #6498; RMG #651273
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H8R(287)+C6H10R(171)<=>C6H9R(1802)+C6H9R(1802) 5.258140e+13 -0.550 1.386
-
-! Reaction index: Chemkin #6499; RMG #652330
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C10H13(202)<=>C6H9R(1802)+C10H14(179) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6500; RMG #652333
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C10H13(202)<=>C6H9R(1802)+C10H14(179) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6501; RMG #652424
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(183), C10H14(184); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C10H15(183)<=>C6H9R(1802)+C10H14(184) 1.225854e+27 -4.376 11.547
-
-! Reaction index: Chemkin #6502; RMG #652555
-! Template reaction: Disproportionation
-! Flux pairs: C8H13(191), C8H12(194); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C8H13(191)<=>C6H9R(1802)+C8H12(194) 1.225854e+27 -4.376 8.888
-
-! Reaction index: Chemkin #6503; RMG #652683
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H12(201); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H13(202)<=>C6H9R(1802)+C10H12(201) 1.350000e+03 2.700 0.150
-
-! Reaction index: Chemkin #6504; RMG #652977
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C11H15(234)<=>C6H9R(1802)+C11H16(229) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #6505; RMG #652980
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H15(234)<=>C6H9R(1802)+C11H16(229) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #6506; RMG #653130
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(240); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C10H14R(316)<=>C6H9R(1802)+C10H13R(240) 1.225854e+27 -4.376 8.685
-
-! Reaction index: Chemkin #6507; RMG #653215
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(283), C12H14(244); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H15(283)<=>C6H9R(1802)+C12H14(244) 1.225854e+27 -4.376 12.903
-
-! Reaction index: Chemkin #6508; RMG #653295
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(18464), C11H14(246); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(18464)<=>C6H9R(1802)+C11H14(246) 1.225854e+27 -4.376 11.547
-
-! Reaction index: Chemkin #6509; RMG #653535
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H14(257); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H15(18389)<=>C6H9R(1802)+C12H14(257) 1.225854e+27 -4.376 12.903
-
-! Reaction index: Chemkin #6510; RMG #653887
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C12H15(323)<=>C6H9R(1802)+C12H16(269) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6511; RMG #653890
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(323)<=>C6H9R(1802)+C12H16(269) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6512; RMG #654083
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(256), C11H14(271); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(256)<=>C6H9R(1802)+C11H14(271) 1.225854e+27 -4.376 11.547
-
-! Reaction index: Chemkin #6513; RMG #654145
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(260), C9H12(272); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H13(260)<=>C6H9R(1802)+C9H12(272) 1.225854e+27 -4.376 8.888
-
-! Reaction index: Chemkin #6514; RMG #654363
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C11H13(298)<=>C6H9R(1802)+C11H14(276) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6515; RMG #654366
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H13(298)<=>C6H9R(1802)+C11H14(276) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6516; RMG #654447
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H14(277); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C12H15(22038)<=>C6H9R(1802)+C12H14(277) 1.350000e+03 2.700 0.141
-
-! Reaction index: Chemkin #6517; RMG #654514
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(226), C11H14(278); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H15(226)<=>C6H9R(1802)+C11H14(278) 1.225854e+27 -4.376 12.903
-
-! Reaction index: Chemkin #6518; RMG #656041
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H12(329); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C11H13(298)<=>C6H9R(1802)+C11H12(329) 1.350000e+03 2.700 0.150
-
-! Reaction index: Chemkin #6519; RMG #656694
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H13(311)<=>C6H9R(1802)+C9H12(18323) 1.225854e+27 -4.376 8.888
-
-! Reaction index: Chemkin #6520; RMG #657094
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C12H17(266)<=>C6H9R(1802)+C12H16(18380) 1.225854e+27 -4.376 11.760
-
-! Reaction index: Chemkin #6521; RMG #657316
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H12R(18225)<=>C6H9R(1802)+C9H11R(18275) 1.225854e+27 -4.376 8.528
-
-! Reaction index: Chemkin #6522; RMG #657435
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H14R(316)<=>C6H9R(1802)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6523; RMG #657518
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C12H15(18406)<=>C6H9R(1802)+C12H16(18680) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6524; RMG #657521
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(18406)<=>C6H9R(1802)+C12H16(18680) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6525; RMG #657981
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(238)<=>C6H9R(1802)+C11H16(11281) 1.225854e+27 -4.376 11.547
-
-! Reaction index: Chemkin #6526; RMG #657986
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(181)<=>C6H9R(1802)+C11H16(11281) 1.225854e+27 -4.376 11.760
-
-! Reaction index: Chemkin #6527; RMG #658124
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C9H12L(293)<=>C6H9R(1802)+C9H11L(18431) 1.225854e+27 -4.376 8.685
-
-! Reaction index: Chemkin #6528; RMG #658404
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H8R(287)+C11H17(10750)<=>C6H9R(1802)+C11H16(11277) 1.225854e+27 -4.376 11.547
-
-! Reaction index: Chemkin #6529; RMG #658608
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H8R(287)+C10H14R(18285)<=>C6H9R(1802)+C10H13R(18278) 2.451708e+27 -4.376 8.759
-
-! Reaction index: Chemkin #6530; RMG #658624
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C11H13(18468)<=>C6H9R(1802)+C11H14(18772) 5.258140e+13 -0.550 0.808
-
-! Reaction index: Chemkin #6531; RMG #658627
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C11H13(18468)<=>C6H9R(1802)+C11H14(18772) 1.225854e+27 -4.376 10.329
-
-! Reaction index: Chemkin #6532; RMG #648951
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C11H15(18454), C11H15(35245);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R
-C11H15(18454)<=>C11H15(35245) 1.053080e+11 0.266 11.337
-
-! Reaction index: Chemkin #6533; RMG #18425
-! Library reaction: restart_edge
-! Flux pairs: C[CH]L(8), C5H8LR(1393); C3H4R(78), C5H8LR(1393);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R
-C[CH]L(8)+C3H4R(78)<=>C5H8LR(1393) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #6534; RMG #63701
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C5H9LR(138); C5H8LR(1393), C5H9LR(138);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C5H8LR(1393)<=>C5H9LR(138) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #6535; RMG #658701
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(65)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6536; RMG #658703
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(69)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6537; RMG #658705
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(66)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6538; RMG #658707
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(68)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6539; RMG #658709
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(72)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6540; RMG #658711
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(73)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6541; RMG #658713
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(71)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6542; RMG #658715
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(67)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6543; RMG #658717
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C9H17LR(70)<=>C5H8LR(1393)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6544; RMG #658735
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C10H20R(64)<=>C5H8LR(1393)+RC10(2) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6545; RMG #658753
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C10H20L(76)<=>C5H8LR(1393)+LC10(3) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6546; RMG #658755
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C5H9LR(138)<=>C3H5R(12)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6547; RMG #658773
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C5H9LR(138)<=>CC(C)L(13)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6548; RMG #658779
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C[CH]CC(C)L(7)<=>C5H8LR(1393)+CCCC(C)L(16) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6549; RMG #658787
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(17); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10R(171)<=>C5H8LR(1393)+C6H11R(17) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6550; RMG #658807
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C5H9LR(138)<=>C3H6(18)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6551; RMG #658841
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C5H9LR(138)<=>CC(C)CR(20)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6552; RMG #658869
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C5H9LR(138)<=>CR(22)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6553; RMG #658881
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H14R(9)<=>C5H8LR(1393)+CC(C)CC(C)CR(23) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6554; RMG #658885
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H9L(24); C5H8L(89), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(24) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6555; RMG #658909
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H12L(11)<=>C5H8LR(1393)+CC(C)CC(C)L(25) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6556; RMG #658915
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C5H9LR(138)<=>CCL(26)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6557; RMG #658917
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C5H9LR(138)<=>CCCR(27)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6558; RMG #658987
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C[CH]CC(C)CR(5)<=>C5H8LR(1393)+CCCC(C)CR(32) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6559; RMG #659017
-! Template reaction: Disproportionation
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C5H9L2(203)<=>C5H8LR(1393)+CC(L)CC(C)L(35) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6560; RMG #659183
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H17L(49); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C8H16L(15)<=>C5H8LR(1393)+C8H17L(49) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6561; RMG #659215
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(56); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10R(90)<=>C5H8LR(1393)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6562; RMG #659221
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(56); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10R(171)<=>C5H8LR(1393)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6563; RMG #659237
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H9L(57); C5H8L(77), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(57) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6564; RMG #659241
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H9L(57); C5H8L(89), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(57) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6565; RMG #659257
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C5H9LR(138)<=>C3H5R(58)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6566; RMG #659273
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C5H9LR(138)<=>C3H5L(59)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6567; RMG #659287
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C5H9LR(138)<=>C4H7R(60)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6568; RMG #659289
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C5H9LR(138)<=>C4H7R(60)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6569; RMG #659303
-! Template reaction: Disproportionation
-! Flux pairs: C8H14L(112), C8H15L(61); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C8H14L(112)<=>C5H8LR(1393)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6570; RMG #659331
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(62); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H12R(108)<=>C5H8LR(1393)+C7H13R(62) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6571; RMG #659353
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(103), C6H11L(63); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10L(103)<=>C5H8LR(1393)+C6H11L(63) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6572; RMG #659371
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C5H9LR(138)<=>C(75)+C5H8LR(1393) 1.150000e+13 -0.320 0.000
-
-! Reaction index: Chemkin #6573; RMG #659373
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C5H9LR(138)<=>C4H7R(81)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6574; RMG #659387
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C5H9LR(138)<=>[H][H](83)+C5H8LR(1393) 1.191692e+10 0.568 0.000
-
-! Reaction index: Chemkin #6575; RMG #659389
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H9L(84); C5H8L(77), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C5H9LR(138)<=>C5H8LR(1393)+C5H9L(84) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6576; RMG #659407
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C5H9LR(138)<=>C3H5L(86)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6577; RMG #659427
-! Template reaction: Disproportionation
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H15(85)<=>C5H8LR(1393)+CC(C)CC(C)C(87) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6578; RMG #659457
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C5H9LR(138)<=>CCC(95)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6579; RMG #659459
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C5H9LR(138)<=>CCC(95)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6580; RMG #659461
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(98); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10R(90)<=>C5H8LR(1393)+C6H11R(98) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6581; RMG #659541
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(107); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10L(169)<=>C5H8LR(1393)+C6H11L(107) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6582; RMG #659545
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(103), C6H11L(107); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10L(103)<=>C5H8LR(1393)+C6H11L(107) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6583; RMG #659561
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(113), C6H10(110); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H9(113)<=>C5H8LR(1393)+C6H10(110) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6584; RMG #659623
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(160), C6H10(116); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H9LR(138)+C6H9(160)<=>C5H8LR(1393)+C6H10(116) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6585; RMG #659625
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H10(116); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H9(114)<=>C5H8LR(1393)+C6H10(116) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6586; RMG #659641
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H8(118); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H9LR(138)+C6H7(123)<=>C5H8LR(1393)+C6H8(118) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6587; RMG #659643
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(118); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(118) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6588; RMG #659671
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(120); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H12R(199)<=>C5H8LR(1393)+C7H13R(120) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6589; RMG #659677
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(120); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H12R(108)<=>C5H8LR(1393)+C7H13R(120) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6590; RMG #659691
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H8(125); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H9LR(138)+C6H7(123)<=>C5H8LR(1393)+C6H8(125) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6591; RMG #659753
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C5H9LR(138)<=>C4H8(157)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6592; RMG #659799
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C5H9LR(138)<=>C5H8(173)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6593; RMG #659831
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C5H9LR(138)<=>C5H8(180)+C5H8LR(1393) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6594; RMG #659905
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(285); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H8R(287)<=>C5H8LR(1393)+C6H9R(285) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6595; RMG #659935
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(290); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(290) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6596; RMG #659963
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(325); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H10L(169)<=>C5H8LR(1393)+C6H11L(325) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6597; RMG #659981
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(330); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C7H12R(199)<=>C5H8LR(1393)+C7H13R(330) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6598; RMG #660003
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C5H9LR(138)<=>CC(C)C(29484)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6599; RMG #660005
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H7(239)<=>C5H8LR(1393)+C6H8(18175) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6600; RMG #660028
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C6H8R(287)<=>C5H8LR(1393)+C6H9R(1802) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6601; RMG #661136
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C10H13(202)<=>C5H8LR(1393)+C10H14(179) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6602; RMG #661248
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C5H9LR(138)<=>C5H6(187)+C5H8LR(1393) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #6603; RMG #661672
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C11H15(234)<=>C5H8LR(1393)+C11H16(229) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6604; RMG #662393
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C12H15(323)<=>C5H8LR(1393)+C12H16(269) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6605; RMG #662741
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C11H13(298)<=>C5H8LR(1393)+C11H14(276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6606; RMG #665271
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C12H15(18406)<=>C5H8LR(1393)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6607; RMG #666089
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C11H13(18468)<=>C5H8LR(1393)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6608; RMG #648949
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C11H15(18454), C11H15(35243);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R_2R!H-inRing_Ext-4R!H-R
-C11H15(18454)<=>C11H15(35243) 1.448900e+10 1.223 19.915
-
-! Reaction index: Chemkin #6609; RMG #144013
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C12H18L(18253); C6H11L(63), C12H18L(18253);
-! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H7(239)+C6H11L(63)<=>C12H18L(18253) 4.860000e+03 2.410 10.980
-
-! Reaction index: Chemkin #6610; RMG #666245
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C10H14(18435), C12H18L(18253); C[CH]L(8), C12H18L(18253);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C10H14(18435)<=>C12H18L(18253) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #6611; RMG #36050
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5L(59), C10H17LR(3394); C7H12R(108), C10H17LR(3394);
-! Estimated using template [Cds-HH_Cds-CsCs;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsCs;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C7H12R(108)<=>C10H17LR(3394) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #6612; RMG #23297
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(65), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(65)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6613; RMG #23301
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(69), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(69)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6614; RMG #23305
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(66), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(66)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6615; RMG #23309
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(68), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(68)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6616; RMG #23313
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(72), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(72)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6617; RMG #23317
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(73), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(73)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6618; RMG #23321
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(71), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(71)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6619; RMG #23325
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(67), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(67)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6620; RMG #23329
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(70), RC10L(1); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H17LR(70)<=>C4H5L(91)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6621; RMG #23365
-! Library reaction: restart_edge
-! Flux pairs: C10H20R(64), RC10(2); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H20R(64)<=>C4H5L(91)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6622; RMG #23401
-! Library reaction: restart_edge
-! Flux pairs: C10H20L(76), LC10(3); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H20L(76)<=>C4H5L(91)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6623; RMG #23465
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C4H6L(1895)<=>C3H5R(12)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6624; RMG #23489
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C4H6L(1895)<=>CC(C)L(13)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6625; RMG #23509
-! Library reaction: restart_edge
-! Flux pairs: C[CH]CC(C)L(7), CCCC(C)L(16); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H5L(91)+CCCC(C)L(16) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6626; RMG #23525
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(171), C6H11R(17); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10R(171)<=>C4H5L(91)+C6H11R(17) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6627; RMG #23553
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C4H6L(1895)<=>C3H6(18)+C4H5L(91) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6628; RMG #23597
-! Library reaction: restart_edge
-! Flux pairs: [CH2]C(C)CR(6), CC(C)CR(20); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+[CH2]C(C)CR(6)<=>C4H5L(91)+CC(C)CR(20) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6629; RMG #23641
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C4H6L(1895)<=>CR(22)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6630; RMG #23665
-! Library reaction: restart_edge
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H14R(9)<=>C4H5L(91)+CC(C)CC(C)CR(23) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6631; RMG #23673
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(89), C5H9L(24); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H8L(89)<=>C4H5L(91)+C5H9L(24) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6632; RMG #23709
-! Library reaction: restart_edge
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H12L(11)<=>C4H5L(91)+CC(C)CC(C)L(25) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6633; RMG #23721
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C4H6L(1895)<=>CCL(26)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6634; RMG #23725
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C4H6L(1895)<=>CCCR(27)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6635; RMG #23865
-! Library reaction: restart_edge
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H5L(91)+CCCC(C)CR(32) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6636; RMG #23925
-! Library reaction: restart_edge
-! Flux pairs: C5H9L2(203), CC(L)CC(C)L(35); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H9L2(203)<=>C4H5L(91)+CC(L)CC(C)L(35) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6637; RMG #24257
-! Library reaction: restart_edge
-! Flux pairs: C8H16L(15), C8H17L(49); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C8H16L(15)<=>C4H5L(91)+C8H17L(49) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6638; RMG #24405
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(56); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10R(90)<=>C4H5L(91)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6639; RMG #24417
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(171), C6H11R(56); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10R(171)<=>C4H5L(91)+C6H11R(56) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6640; RMG #24437
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(77), C5H9L(57); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H8L(77)<=>C4H5L(91)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6641; RMG #24445
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(89), C5H9L(57); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H8L(89)<=>C4H5L(91)+C5H9L(57) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6642; RMG #24465
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C4H6L(1895)<=>C3H5R(58)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6643; RMG #24485
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C4H6L(1895)<=>C3H5L(59)+C4H5L(91) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6644; RMG #24501
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(224), C4H7R(60); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C4H6R(224)<=>C4H5L(91)+C4H7R(60) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6645; RMG #24505
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H7R(60); C4H6R(79), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C4H6L(1895)<=>C4H5L(91)+C4H7R(60) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6646; RMG #24521
-! Library reaction: restart_edge
-! Flux pairs: C8H14L(112), C8H15L(61); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C8H14L(112)<=>C4H5L(91)+C8H15L(61) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6647; RMG #24565
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(62); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H12R(108)<=>C4H5L(91)+C7H13R(62) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6648; RMG #24597
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(103), C6H11L(63); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10L(103)<=>C4H5L(91)+C6H11L(63) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6649; RMG #24691
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C4H6L(1895)<=>C(75)+C4H5L(91) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #6650; RMG #24694
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C4H6L(1895)<=>C(75)+C4H5L(91) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #6651; RMG #24744
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H7R(81); C4H6R(79), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C4H6L(1895)<=>C4H5L(91)+C4H7R(81) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6652; RMG #24760
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C4H6L(1895)<=>[H][H](83)+C4H5L(91) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #6653; RMG #24764
-! Library reaction: restart_edge
-! Flux pairs: C5H8L(77), C5H9L(84); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H8L(77)<=>C4H5L(91)+C5H9L(84) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6654; RMG #24796
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C4H6L(1895)<=>C3H5L(86)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6655; RMG #24824
-! Library reaction: restart_edge
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H15(85)<=>C4H5L(91)+CC(C)CC(C)C(87) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6656; RMG #25263
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C4H6L(1895); C4H5L(91), C4H6L(1895);
-! From training reaction 2557 used for Cds-CsH_Cds-CdH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CdH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C4H5L(91)<=>C4H6L(1895) 1.350000e+08 1.640 0.380
-
-! Reaction index: Chemkin #6657; RMG #25741
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C4H6L(1895)<=>CCC(95)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6658; RMG #25742
-! Library reaction: restart_edge
-! Flux pairs: C4H6L(1895), C4H5L(91); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C4H6L(1895)<=>CCC(95)+C4H5L(91) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6659; RMG #28023
-! Library reaction: restart_edge
-! Flux pairs: C6H10R(90), C6H11R(98); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10R(90)<=>C4H5L(91)+C6H11R(98) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6660; RMG #35422
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(169), C6H11L(107); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10L(169)<=>C4H5L(91)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6661; RMG #35424
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(103), C6H11L(107); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10L(103)<=>C4H5L(91)+C6H11L(107) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6662; RMG #38043
-! Library reaction: restart_edge
-! Flux pairs: C6H9(113), C6H10(110); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H9(113)<=>C4H5L(91)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6663; RMG #46950
-! Library reaction: restart_edge
-! Flux pairs: C6H9(160), C6H10(116); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C6H9(160)<=>C4H5L(91)+C6H10(116) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6664; RMG #46951
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H10(116); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H9(114)<=>C4H5L(91)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6665; RMG #50106
-! Library reaction: restart_edge
-! Flux pairs: C6H7(123), C6H8(118); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C6H7(123)<=>C4H5L(91)+C6H8(118) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6666; RMG #50107
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(118); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6667; RMG #52175
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(199), C7H13R(120); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H12R(199)<=>C4H5L(91)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6668; RMG #52178
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(108), C7H13R(120); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H12R(108)<=>C4H5L(91)+C7H13R(120) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6669; RMG #54784
-! Library reaction: restart_edge
-! Flux pairs: C6H7(123), C6H8(125); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C6H7(123)<=>C4H5L(91)+C6H8(125) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6670; RMG #69578
-! Library reaction: restart_edge
-! Flux pairs: C4H7(156), C4H8(157); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C4H7(156)<=>C4H5L(91)+C4H8(157) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6671; RMG #80130
-! Library reaction: restart_edge
-! Flux pairs: C5H7(174), C5H8(173); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C5H7(174)<=>C4H5L(91)+C5H8(173) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6672; RMG #86074
-! Library reaction: restart_edge
-! Flux pairs: C10H13(202), C10H14(179); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H13(202)<=>C4H5L(91)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6673; RMG #88420
-! Library reaction: restart_edge
-! Flux pairs: C5H7(178), C5H8(180); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C5H7(178)<=>C4H5L(91)+C5H8(180) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6674; RMG #93171
-! Library reaction: restart_edge
-! Flux pairs: C5H5(189), C5H6(187); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C4H6L(1895)+C5H5(189)<=>C4H5L(91)+C5H6(187) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #6675; RMG #137266
-! Library reaction: restart_edge
-! Flux pairs: C11H15(234), C11H16(229); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C11H15(234)<=>C4H5L(91)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6676; RMG #205637
-! Library reaction: restart_edge
-! Flux pairs: C12H15(323), C12H16(269); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C12H15(323)<=>C4H5L(91)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6677; RMG #233270
-! Library reaction: restart_edge
-! Flux pairs: C11H13(298), C11H14(276); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C11H13(298)<=>C4H5L(91)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6678; RMG #267257
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(285); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H8R(287)<=>C4H5L(91)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6679; RMG #277961
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C6H8(290); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6680; RMG #347015
-! Library reaction: restart_edge
-! Flux pairs: C6H10L(169), C6H11L(325); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10L(169)<=>C4H5L(91)+C6H11L(325) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6681; RMG #369403
-! Library reaction: restart_edge
-! Flux pairs: C7H12R(199), C7H13R(330); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C7H12R(199)<=>C4H5L(91)+C7H13R(330) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6682; RMG #408174
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), CC(C)C(29484); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+[CH2]C(C)C(399)<=>C4H5L(91)+CC(C)C(29484) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6683; RMG #466128
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H8(18175); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H7(239)<=>C4H5L(91)+C6H8(18175) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6684; RMG #508450
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C12H15(18406)<=>C4H5L(91)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6685; RMG #632379
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C11H13(18468)<=>C4H5L(91)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6686; RMG #650300
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(287), C6H9R(1802); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H8R(287)<=>C4H5L(91)+C6H9R(1802) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6687; RMG #667615
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C4H6L(1895), C7H11L2(36342); C3H5L(59), C7H11L2(36342);
-! From training reaction 259 used for Cds-HH_Cds-CsCs;CsJ-CdHH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdHH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5L(59)+C4H6L(1895)<=>C7H11L2(36342) 2.790000e+04 2.410 11.220
-
-! Reaction index: Chemkin #6688; RMG #669245
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(18406), C12H16(18680); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C12H15(18406)<=>C5H9L2(203)+C12H16(18680) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #6689; RMG #667195
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(65);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(65) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #6690; RMG #667196
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(69);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(69) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #6691; RMG #667197
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(66), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(66)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6692; RMG #667198
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(68), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(68)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6693; RMG #667199
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); RC10L(1), C9H17LR(72);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+RC10L(1)<=>C4H7L(36302)+C9H17LR(72) 1.690000e-02 4.340 16.600
-
-! Reaction index: Chemkin #6694; RMG #667200
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(73), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(73)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6695; RMG #667201
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(71), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(71)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6696; RMG #667202
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(67), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(67)<=>C4H6L(1895)+RC10L(1) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6697; RMG #667203
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C9H17LR(70), RC10L(1);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C9H17LR(70)<=>C4H6L(1895)+RC10L(1) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6698; RMG #667221
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C10H20R(64), RC10(2);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C10H20R(64)<=>C4H6L(1895)+RC10(2) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6699; RMG #667239
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C10H20L(76), LC10(3);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C10H20L(76)<=>C4H6L(1895)+LC10(3) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6700; RMG #667245
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C4H6L(1895)<=>C3H4R(78)+C4H7L(36302) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6701; RMG #667253
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C4H7L(36302)<=>CC(C)L(13)+C4H6L(1895) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6702; RMG #667261
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C[CH]CC(C)L(7)<=>C4H6L(1895)+CCCC(C)L(16) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6703; RMG #667273
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(17), C6H10R(171);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H11R(17)<=>C4H7L(36302)+C6H10R(171) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6704; RMG #667285
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C3H6(18), C3H5(102);
-! From training reaction 3027 used for C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C4H6L(1895)<=>C3H5(102)+C4H7L(36302) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6705; RMG #667303
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+[CH2]C(C)CR(6)<=>C4H6L(1895)+CC(C)CR(20) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6706; RMG #667325
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]R(14), CR(22);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]R(14)+C4H7L(36302)<=>CR(22)+C4H6L(1895) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6707; RMG #667337
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C7H14R(9)<=>C4H6L(1895)+CC(C)CC(C)CR(23) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6708; RMG #667346
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C5H9L(24)<=>C4H7L(36302)+C5H8L(89) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6709; RMG #667360
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C6H12L(11)<=>C4H6L(1895)+CC(C)CC(C)L(25) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6710; RMG #667365
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]L(8), CCL(26);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]L(8)+C4H7L(36302)<=>CCL(26)+C4H6L(1895) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6711; RMG #667369
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CR(10), CCCR(27);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C[CH]CR(10)+C4H7L(36302)<=>CCCR(27)+C4H6L(1895) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6712; RMG #667420
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C[CH]CC(C)CR(5)<=>C4H6L(1895)+CCCC(C)CR(32) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6713; RMG #667448
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 956 used for C/H/Cs3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+CC(L)CC(C)L(35)<=>C4H7L(36302)+C5H9L2(203) 3.380000e-02 4.340 16.600
-
-! Reaction index: Chemkin #6714; RMG #667552
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C8H16L(15), C8H17L(49);
-! Estimated using template [C/H3/Cd;C_rad/H/NonDeC] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H/NonDeC]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C8H16L(15)<=>C4H6L(1895)+C8H17L(49) 9.781927e-04 4.260 6.640
-
-! Reaction index: Chemkin #6715; RMG #667576
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(56), C6H10R(90);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C6H11R(56)<=>C4H7L(36302)+C6H10R(90) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6716; RMG #667579
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C6H10R(171), C6H11R(56);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C6H10R(171)<=>C4H6L(1895)+C6H11R(56) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6717; RMG #667591
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(57), C5H8L(77);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C5H9L(57)<=>C4H7L(36302)+C5H8L(77) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6718; RMG #667593
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C5H8L(89), C5H9L(57);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C5H8L(89)<=>C4H6L(1895)+C5H9L(57) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6719; RMG #667603
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4R(78), C3H5R(58);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4R(78)+C4H7L(36302)<=>C3H5R(58)+C4H6L(1895) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6720; RMG #667612
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4L(147), C3H5L(59);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C3H4L(147)+C4H7L(36302)<=>C3H5L(59)+C4H6L(1895) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6721; RMG #667621
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C4H6R(224), C4H7R(60);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H6R(224)+C4H7L(36302)<=>C4H6L(1895)+C4H7R(60) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6722; RMG #667622
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C4H7R(60)<=>C4H6R(79)+C4H7L(36302) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6723; RMG #667636
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C8H15L(61), C8H14L(112);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C8H15L(61)<=>C4H7L(36302)+C8H14L(112) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6724; RMG #667655
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C7H13R(62)<=>C4H7L(36302)+C7H12R(108) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6725; RMG #667670
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H11L(63)<=>C4H7L(36302)+C6H10L(103) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6726; RMG #667677
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); CH3(74), C(75);
-! From training reaction 758 used for C/H3/Cd\H_Cd\H\Cs;C_methyl
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;C_methyl]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-CH3(74)+C4H7L(36302)<=>C(75)+C4H6L(1895) 7.200000e-02 4.250 7.530
-
-! Reaction index: Chemkin #6727; RMG #667682
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C4H6R(79), C4H7R(81);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6R(79)+C4H7L(36302)<=>C4H6L(1895)+C4H7R(81) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6728; RMG #667687
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); H(82), [H][H](83);
-! From training reaction 756 used for C/H3/Cd\H_Cd\H\Cs;H_rad
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H\Cs;H_rad]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-H(82)+C4H7L(36302)<=>[H][H](83)+C4H6L(1895) 3.360000e+03 3.140 4.290
-
-! Reaction index: Chemkin #6729; RMG #667694
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C5H9L(84)<=>C4H7L(36302)+C5H8L(77) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6730; RMG #667705
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C3H4L(219), C3H5L(86);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H4L(219)+C4H7L(36302)<=>C3H5L(86)+C4H6L(1895) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6731; RMG #667715
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C7H15(85), CC(C)CC(C)C(87);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C7H15(85)<=>C4H6L(1895)+CC(C)CC(C)C(87) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6732; RMG #667734
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); CCC(95), C[CH]C(94);
-! From training reaction 913 used for C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C4H6L(1895)<=>C[CH]C(94)+C4H7L(36302) 2.920000e-02 4.340 16.600
-
-! Reaction index: Chemkin #6733; RMG #667735
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]CC(195), CCC(95);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-[CH2]CC(195)+C4H7L(36302)<=>CCC(95)+C4H6L(1895) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6734; RMG #667743
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H11R(98)<=>C4H7L(36302)+C6H10R(90) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6735; RMG #667792
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(107), C6H10L(169);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C6H11L(107)<=>C4H7L(36302)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6736; RMG #667794
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C6H10L(103), C6H11L(107);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C6H10L(103)<=>C4H6L(1895)+C6H11L(107) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6737; RMG #667808
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(110), C6H9(113);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6L(1895)+C6H10(110)<=>C4H7L(36302)+C6H9(113) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6738; RMG #667872
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H10(116)<=>C4H7L(36302)+C6H9(160) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6739; RMG #667873
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H10(116)<=>C4H7L(36302)+C6H9(114) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6740; RMG #667901
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(118), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H8(118)<=>C4H7L(36302)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #6741; RMG #667902
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2] for rate rule [2_methyl_CPD;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6L(1895)+C6H8(118)<=>C4H7L(36302)+C6H7(239) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6742; RMG #667917
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(120), C7H12R(199);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C7H13R(120)<=>C4H7L(36302)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6743; RMG #667920
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C7H12R(108), C7H13R(120);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+C7H12R(108)<=>C4H6L(1895)+C7H13R(120) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6744; RMG #667933
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(125), C6H7(123);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H8(125)<=>C4H7L(36302)+C6H7(123) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #6745; RMG #667966
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); C4H7(156), C4H8(157);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cd] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.4142135623730951
-! Multiplied by reaction path degeneracy 6.0
-! family: H_Abstraction
-C4H7L(36302)+C4H7(156)<=>C4H6L(1895)+C4H8(157) 8.700000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6746; RMG #667999
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6L(1895)+C5H8(173)<=>C4H7L(36302)+C5H7(174) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6747; RMG #668013
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6L(1895)+C5H8(180)<=>C4H7L(36302)+C5H7(178) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #6748; RMG #668021
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C5H6(187), C5H5(189);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C5H6(187)<=>C4H7L(36302)+C5H5(189) 3.860000e-03 4.340 6.700
-
-! Reaction index: Chemkin #6749; RMG #668114
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H6L(1895)+C6H9R(285)<=>C4H7L(36302)+C6H8R(287) 4.350000e-03 4.340 13.600
-
-! Reaction index: Chemkin #6750; RMG #668132
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(290), C6H7(239);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H8(290)<=>C4H7L(36302)+C6H7(239) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6751; RMG #668146
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H11L(325), C6H10L(169);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C6H11L(325)<=>C4H7L(36302)+C6H10L(169) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6752; RMG #668159
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C7H13R(330), C7H12R(199);
-! From training reaction 1086 used for C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! family: H_Abstraction
-C4H6L(1895)+C7H13R(330)<=>C4H7L(36302)+C7H12R(199) 2.780000e-03 4.340 8.900
-
-! Reaction index: Chemkin #6753; RMG #668169
-! Template reaction: H_Abstraction
-! Flux pairs: C4H7L(36302), C4H6L(1895); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using template [C/H3/Cd;C_rad/H2/Cs] for rate rule [C/H3/Cd\H_Cd\H\Cs;C_rad/H2/Cs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C4H7L(36302)+[CH2]C(C)C(399)<=>C4H6L(1895)+CC(C)C(29484) 1.344361e-04 4.649 4.527
-
-! Reaction index: Chemkin #6754; RMG #668176
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H8(18175), C6H7(239);
-! From training reaction 1130 used for C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6L(1895)+C6H8(18175)<=>C4H7L(36302)+C6H7(239) 7.720000e-03 4.340 6.700
-
-! Reaction index: Chemkin #6755; RMG #668192
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C6H9R(1802), C6H8R(287);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C6H9R(1802)<=>C4H7L(36302)+C6H8R(287) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6756; RMG #668500
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C10H14(179), C10H13(202);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C10H14(179)<=>C4H7L(36302)+C10H13(202) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6757; RMG #668662
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C11H16(229), C11H15(234);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C11H16(229)<=>C4H7L(36302)+C11H15(234) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6758; RMG #668686
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(239), C6H6(252); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H7(239)<=>C4H7L(36302)+C6H6(252) 1.350000e+03 2.700 0.044
-
-! Reaction index: Chemkin #6759; RMG #668944
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C12H16(18680), C12H15(18406);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C12H16(18680)<=>C4H7L(36302)+C12H15(18406) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6760; RMG #669062
-! Template reaction: H_Abstraction
-! Flux pairs: C4H6L(1895), C4H7L(36302); C11H14(18772), C11H13(18468);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C11H14(18772)<=>C4H7L(36302)+C11H13(18468) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6761; RMG #670191
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(118); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(118) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6762; RMG #670199
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(125); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(125) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6763; RMG #670200
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(114), C6H8(290); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C6H9(114)<=>C4H7L(36302)+C6H8(290) 1.225854e+27 -4.376 9.481
-
-! Reaction index: Chemkin #6764; RMG #677719
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H5L(91); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C4H6L(1895)<=>C4H5L(91)+C4H7L(36302) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6765; RMG #677726
-! Template reaction: R_Recombination
-! Flux pairs: C4H6L(1895), C4H7L(36302); H(82), C4H7L(36302);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
-! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
-H(82)+C4H6L(1895)<=>C4H7L(36302) 1.625980e+13 0.255 0.000
-
-! Reaction index: Chemkin #6766; RMG #677834
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C4H6L(1895)<=>C3H5R(12)+C4H7L(36302) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #6767; RMG #677878
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(17); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H7L(36302)+C6H11R(17) 1.225854e+27 -4.376 6.090
-
-! Reaction index: Chemkin #6768; RMG #677888
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C4H6L(1895)<=>C3H6(18)+C4H7L(36302) 3.941700e+12 -0.039 0.000
-
-! Reaction index: Chemkin #6769; RMG #677892
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C4H6L(1895)<=>C3H6(18)+C4H7L(36302) 2.451708e+27 -4.376 6.166
-
-! Reaction index: Chemkin #6770; RMG #677900
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C4H6L(1895)<=>C2H3L(19)+C4H7L(36302) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #6771; RMG #677934
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(21); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C8H16L(15)<=>C4H7L(36302)+C8H15L(21) 1.225854e+27 -4.376 6.090
-
-! Reaction index: Chemkin #6772; RMG #677966
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(24); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H7L(36302)+C5H9L(24) 1.225854e+27 -4.376 6.090
-
-! Reaction index: Chemkin #6773; RMG #678336
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), C6H11R(56); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C[CH]CC(C)CR(5)<=>C4H7L(36302)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6774; RMG #678354
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)L(7), C5H9L(57); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C[CH]CC(C)L(7)<=>C4H7L(36302)+C5H9L(57) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6775; RMG #678372
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C4H6L(1895)<=>C3H5R(58)+C4H7L(36302) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6776; RMG #678380
-! Template reaction: Disproportionation
-! Flux pairs: C4H6L(1895), C4H7L(36302); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-[CH2]C(C)L(4)+C4H6L(1895)<=>C3H5L(59)+C4H7L(36302) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6777; RMG #678394
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)CR(6), C4H7L(36302); C4H6L(1895), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+[CH2]C(C)CR(6)<=>C4H7R(60)+C4H7L(36302) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6778; RMG #678418
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H15L(61); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C8H16L(15)<=>C4H7L(36302)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6779; RMG #678438
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), C7H13R(62); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+C7H14R(9)<=>C4H7L(36302)+C7H13R(62) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6780; RMG #678456
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), C6H11L(63); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+C6H12L(11)<=>C4H7L(36302)+C6H11L(63) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6781; RMG #679089
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(160), C6H8(125); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C6H9(160)<=>C4H7L(36302)+C6H8(125) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6782; RMG #679325
-! Template reaction: Disproportionation
-! Flux pairs: [CH2]C(C)C(399), C4H8(157); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+[CH2]C(C)C(399)<=>C4H7L(36302)+C4H8(157) 7.830000e+11 0.000 0.000
-
-! Reaction index: Chemkin #6783; RMG #679564
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(183), C10H14(184); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C10H15(183)<=>C4H7L(36302)+C10H14(184) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #6784; RMG #679592
-! Template reaction: Disproportionation
-! Flux pairs: C5H7(178), C5H6(187); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C4H6L(1895)+C5H7(178)<=>C4H7L(36302)+C5H6(187) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6785; RMG #679661
-! Template reaction: Disproportionation
-! Flux pairs: C8H13(191), C8H12(194); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C8H13(191)<=>C4H7L(36302)+C8H12(194) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #6786; RMG #679746
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H12(201); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H13(202)<=>C4H7L(36302)+C10H12(201) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6787; RMG #680187
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(240); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C10H14R(316)<=>C4H7L(36302)+C10H13R(240) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #6788; RMG #680243
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(283), C12H14(244); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C12H15(283)<=>C4H7L(36302)+C12H14(244) 1.225854e+27 -4.376 9.551
-
-! Reaction index: Chemkin #6789; RMG #680295
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(18464), C11H14(246); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H15(18464)<=>C4H7L(36302)+C11H14(246) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #6790; RMG #680380
-! Template reaction: Disproportionation
-! Flux pairs: C6H7(123), C6H6(252); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C6H7(123)<=>C4H7L(36302)+C6H6(252) 1.225854e+27 -4.376 9.625
-
-! Reaction index: Chemkin #6791; RMG #680502
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18389), C12H14(257); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C12H15(18389)<=>C4H7L(36302)+C12H14(257) 1.225854e+27 -4.376 9.551
-
-! Reaction index: Chemkin #6792; RMG #680566
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(89), C5H7L(262); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+C5H8L(89)<=>C4H7L(36302)+C5H7L(262) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6793; RMG #680578
-! Template reaction: Disproportionation
-! Flux pairs: C5H8L(77), C5H7L(262); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C5H8L(77)<=>C4H7L(36302)+C5H7L(262) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6794; RMG #680878
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(256), C11H14(271); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H15(256)<=>C4H7L(36302)+C11H14(271) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #6795; RMG #680918
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(260), C9H12(272); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C9H13(260)<=>C4H7L(36302)+C9H12(272) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #6796; RMG #681108
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H14(277); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C12H15(22038)<=>C4H7L(36302)+C12H14(277) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6797; RMG #681152
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(226), C11H14(278); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H15(226)<=>C4H7L(36302)+C11H14(278) 1.225854e+27 -4.376 9.551
-
-! Reaction index: Chemkin #6798; RMG #681306
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(285); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H10R(90)<=>C4H7L(36302)+C6H9R(285) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6799; RMG #682217
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H12(329); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C11H13(298)<=>C4H7L(36302)+C11H12(329) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #6800; RMG #682676
-! Template reaction: Disproportionation
-! Flux pairs: C9H13(311), C9H12(18323); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C9H13(311)<=>C4H7L(36302)+C9H12(18323) 1.225854e+27 -4.376 6.263
-
-! Reaction index: Chemkin #6801; RMG #682936
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18380); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C12H17(266)<=>C4H7L(36302)+C12H16(18380) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6802; RMG #683098
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18225), C9H11R(18275); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C9H12R(18225)<=>C4H7L(36302)+C9H11R(18275) 1.225854e+27 -4.376 5.973
-
-! Reaction index: Chemkin #6803; RMG #683174
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(316), C10H13R(18283); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H14R(316)<=>C4H7L(36302)+C10H13R(18283) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6804; RMG #683534
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(238), C11H16(11281); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H17(238)<=>C4H7L(36302)+C11H16(11281) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #6805; RMG #683538
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(181), C11H16(11281); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H17(181)<=>C4H7L(36302)+C11H16(11281) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6806; RMG #683628
-! Template reaction: Disproportionation
-! Flux pairs: C9H12L(293), C9H11L(18431); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C9H12L(293)<=>C4H7L(36302)+C9H11L(18431) 1.225854e+27 -4.376 6.099
-
-! Reaction index: Chemkin #6807; RMG #683833
-! Template reaction: Disproportionation
-! Flux pairs: C11H17(10750), C11H16(11277); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C11H17(10750)<=>C4H7L(36302)+C11H16(11277) 1.225854e+27 -4.376 8.429
-
-! Reaction index: Chemkin #6808; RMG #683965
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(18285), C10H13R(18278); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6L(1895)+C10H14R(18285)<=>C4H7L(36302)+C10H13R(18278) 2.451708e+27 -4.376 6.159
-
-! Reaction index: Chemkin #6809; RMG #684035
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H9R(1802); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R
-C4H6L(1895)+C6H10R(171)<=>C4H7L(36302)+C6H9R(1802) 7.830000e+11 0.000 0.294
-
-! Reaction index: Chemkin #6810; RMG #684047
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H9R(1802); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C4H6L(1895)+C6H10R(90)<=>C4H7L(36302)+C6H9R(1802) 1.225854e+27 -4.376 8.605
-
-! Reaction index: Chemkin #6811; RMG #684065
-! Template reaction: Disproportionation
-! Flux pairs: C5H9LR(138), C5H8LR(1393); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C5H9LR(138)<=>C4H7L(36302)+C5H8LR(1393) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6812; RMG #143995
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C6H7(239), C13H20R(18248); C7H13R(62), C13H20R(18248);
-! From training reaction 260 used for Cds-HH_Cds-CsCs;CsJ-CdCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C6H7(239)+C7H13R(62)<=>C13H20R(18248) 4.860000e+03 2.410 10.980
-
-! Reaction index: Chemkin #6813; RMG #684106
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C10H14(18435), C13H20R(18248); C[CH]CR(10), C13H20R(18248);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C10H14(18435)<=>C13H20R(18248) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #6814; RMG #144077
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(79), C10H13R(18281); C6H7(239), C10H13R(18281);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-C4H6R(79)+C6H7(239)<=>C10H13R(18281) 3.481290e+13 -0.158 0.000
-
-! Reaction index: Chemkin #6815; RMG #157429
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C10H14R(247); C10H13R(18281), C10H14R(247);
-! From training reaction 2933 used for Cds-CsH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C10H13R(18281)<=>C10H14R(247) 3.066000e+11 0.481 7.426
-
-! Reaction index: Chemkin #6816; RMG #684198
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(65)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6817; RMG #684204
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(69)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6818; RMG #684210
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(66)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6819; RMG #684216
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(68)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6820; RMG #684222
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(72)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6821; RMG #684228
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(73)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6822; RMG #684234
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(71)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6823; RMG #684240
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(67)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6824; RMG #684246
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H17LR(70)+C10H14R(247)<=>RC10L(1)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6825; RMG #684300
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C10H20R(64)<=>C10H13R(18281)+RC10(2) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6826; RMG #684354
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C10H20L(76)<=>C10H13R(18281)+LC10(3) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6827; RMG #684360
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H14R(247)<=>C3H5R(12)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6828; RMG #684400
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C10H14R(247)<=>CC(C)L(13)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6829; RMG #684412
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H14R(247)<=>C6H11R(17)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6830; RMG #684458
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C10H14R(247)<=>C3H6(18)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6831; RMG #684532
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C10H14R(247)<=>CC(C)CR(20)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6832; RMG #684538
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C10H14R(247)<=>CR(22)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6833; RMG #684550
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H14R(247)<=>C5H9L(24)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6834; RMG #684608
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C10H14R(247)<=>CC(C)CC(C)L(25)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6835; RMG #684626
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C10H14R(247)<=>CCL(26)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6836; RMG #684632
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H14R(247)<=>CCCR(27)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6837; RMG #684650
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H14R(247)<=>C6H11R(56)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6838; RMG #684668
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C10H14R(247)<=>C6H11R(56)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6839; RMG #684702
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H14R(247)<=>C5H9L(57)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6840; RMG #684714
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C10H14R(247)<=>C5H9L(57)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6841; RMG #684748
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C10H14R(247)<=>C3H5R(58)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6842; RMG #684782
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C10H14R(247)<=>C3H5L(59)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6843; RMG #684810
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C10H14R(247)<=>C4H7R(60)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6844; RMG #684816
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H14R(247)<=>C4H7R(60)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6845; RMG #684844
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C10H14R(247)<=>C8H15L(61)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6846; RMG #684914
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H14R(247)<=>C7H13R(62)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6847; RMG #684966
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H14R(247)<=>C6H11L(63)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6848; RMG #685006
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C10H14R(247)<=>C(75)+C10H13R(18281) 1.150000e+13 -0.320 0.000
-
-! Reaction index: Chemkin #6849; RMG #685052
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H14R(247)<=>CCCC(C)L(16)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6850; RMG #685164
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C10H14R(247)<=>CC(C)CC(C)CR(23)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6851; RMG #685302
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H14R(247)<=>CCCC(C)CR(32)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6852; RMG #685392
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C10H14R(247)<=>CC(L)CC(C)L(35)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6853; RMG #685890
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H14R(247)<=>C8H17L(49)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6854; RMG #686034
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C10H14R(247)<=>C4H7R(81)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6855; RMG #686062
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C10H14R(247)<=>[H][H](83)+C10H13R(18281) 1.191692e+10 0.568 0.000
-
-! Reaction index: Chemkin #6856; RMG #686068
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C10H14R(247)<=>C5H9L(84)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6857; RMG #686108
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C10H14R(247)<=>C3H5L(86)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6858; RMG #686154
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C10H14R(247)<=>CC(C)CC(C)C(87)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6859; RMG #686244
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C10H14R(247)<=>CCC(95)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6860; RMG #686250
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H14R(247)<=>CCC(95)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6861; RMG #686256
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H14R(247)<=>C6H11R(98)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6862; RMG #686440
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H14R(247)<=>C6H11L(107)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6863; RMG #686452
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C10H14R(247)<=>C6H11L(107)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6864; RMG #686486
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C10H14R(247)<=>C6H10(110)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6865; RMG #686686
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H14R(247)<=>C6H10(116)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6866; RMG #686692
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H14R(247)<=>C6H10(116)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6867; RMG #686772
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H14R(247)<=>C6H8(118)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6868; RMG #686778
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(247)<=>C6H8(118)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6869; RMG #686834
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H14R(247)<=>C7H13R(120)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6870; RMG #686852
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C10H14R(247)<=>C7H13R(120)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6871; RMG #686880
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C10H14R(247)<=>C6H8(125)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6872; RMG #687038
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C10H14R(247)<=>C4H8(157)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6873; RMG #687176
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C10H14R(247)<=>C5H8(173)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6874; RMG #687286
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C10H14R(247)<=>C5H8(180)+C10H13R(18281) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6875; RMG #687352
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C10H14R(247)<=>C5H6(187)+C10H13R(18281) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #6876; RMG #688974
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H14R(247)<=>C6H9R(285)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6877; RMG #689106
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(247)<=>C6H8(290)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6878; RMG #689734
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C10H14R(247)<=>C6H11L(325)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6879; RMG #689774
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C10H14R(247)<=>C7H13R(330)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6880; RMG #690046
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C10H14R(247)<=>CC(C)C(29484)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6881; RMG #690340
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C10H14R(247)<=>C6H8(18175)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6882; RMG #690784
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C12H15(18406)<=>C10H13R(18281)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6883; RMG #691876
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C11H13(18468)<=>C10H13R(18281)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6884; RMG #691972
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C10H14R(247)<=>C6H9R(1802)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6885; RMG #692108
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H13R(18281); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H14R(247)<=>C4H7L(36302)+C10H13R(18281) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6886; RMG #274713
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: H(82), C6H8R(288); C6H7R(24238), C6H8R(288);
-! From training reaction 11 used for Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-(CdsH-Cds)_cyc5;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C6H7R(24238)<=>C6H8R(288) 1.650000e+09 1.480 0.900
-
-! Reaction index: Chemkin #6887; RMG #275735
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C6H8R(288)<=>C5H8(173)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6888; RMG #276000
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H8(118); C6H7(239), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(118) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6889; RMG #276006
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H8(18175); C6H7(239), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(18175) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6890; RMG #276012
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H8(290); C6H7(239), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H8R(288)<=>C6H7R(24238)+C6H8(290) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6891; RMG #276165
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(285); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H8R(287)<=>C6H7R(24238)+C6H9R(285) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6892; RMG #276178
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(287), C6H9R(1802); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H8R(287)<=>C6H7R(24238)+C6H9R(1802) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6893; RMG #281688
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H8R(288)<=>C3H5R(12)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6894; RMG #281695
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C6H8R(288)<=>C3H5R(58)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6895; RMG #285478
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H8R(288)<=>C4H7R(60)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6896; RMG #285484
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C6H8R(288)<=>C4H7R(81)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6897; RMG #285522
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C6H8R(288)<=>C3H6(18)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6898; RMG #285530
-! Library reaction: restart_edge
-! Flux pairs: C6H9(113), C6H10(110); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H9(113)<=>C6H7R(24238)+C6H10(110) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6899; RMG #285562
-! Library reaction: restart_edge
-! Flux pairs: C6H9(114), C6H10(116); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H9(114)<=>C6H7R(24238)+C6H10(116) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6900; RMG #285569
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C6H8R(288)<=>C3H5L(59)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6901; RMG #285581
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C6H8R(288)<=>C5H8(180)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6902; RMG #289271
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H8R(288)<=>C5H9L(57)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6903; RMG #289280
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C6H8R(288)<=>C5H9L(84)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6904; RMG #289287
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C6H8R(288)<=>C4H8(157)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6905; RMG #295647
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C6H8R(288)<=>C5H6(187)+C6H7R(24238) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #6906; RMG #322554
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C6H8R(288)<=>C4H7R(60)+C6H7R(24238) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #6907; RMG #393098
-! Library reaction: restart_edge
-! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C6H8R(288)<=>CCL(26)+C6H7R(24238) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #6908; RMG #692192
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(65)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6909; RMG #692196
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(69)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6910; RMG #692200
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(66)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6911; RMG #692204
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(68)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6912; RMG #692208
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(72)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6913; RMG #692212
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(73)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6914; RMG #692216
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(71)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6915; RMG #692220
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(67)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6916; RMG #692224
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C9H17LR(70)<=>C6H7R(24238)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6917; RMG #692260
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C10H20R(64)<=>C6H7R(24238)+RC10(2) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6918; RMG #692296
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C10H20L(76)<=>C6H7R(24238)+LC10(3) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6919; RMG #692397
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C6H8R(288)<=>CC(C)L(13)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6920; RMG #692418
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C6H8R(288)<=>CCCC(C)L(16)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6921; RMG #692434
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(17); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10R(171)<=>C6H7R(24238)+C6H11R(17) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6922; RMG #692511
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C6H8R(288)<=>CC(C)CR(20)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6923; RMG #692557
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C6H8R(288)<=>CR(22)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6924; RMG #692581
-! Template reaction: Disproportionation
-! Flux pairs: C7H14R(9), CC(C)CC(C)CR(23); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H14R(9)<=>C6H7R(24238)+CC(C)CC(C)CR(23) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6925; RMG #692589
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H8R(288)<=>C5H9L(24)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6926; RMG #692627
-! Template reaction: Disproportionation
-! Flux pairs: C6H12L(11), CC(C)CC(C)L(25); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H12L(11)<=>C6H7R(24238)+CC(C)CC(C)L(25) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6927; RMG #692642
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C6H8R(288)<=>CCCR(27)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6928; RMG #692842
-! Template reaction: Disproportionation
-! Flux pairs: C[CH]CC(C)CR(5), CCCC(C)CR(32); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C[CH]CC(C)CR(5)<=>C6H7R(24238)+CCCC(C)CR(32) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6929; RMG #692902
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C6H8R(288)<=>CC(L)CC(C)L(35)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6930; RMG #693234
-! Template reaction: Disproportionation
-! Flux pairs: C8H16L(15), C8H17L(49); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C8H16L(15)<=>C6H7R(24238)+C8H17L(49) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6931; RMG #693544
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(56); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10R(90)<=>C6H7R(24238)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6932; RMG #693556
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(171), C6H11R(56); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10R(171)<=>C6H7R(24238)+C6H11R(56) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6933; RMG #693585
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C6H8R(288)<=>C5H9L(57)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6934; RMG #693665
-! Template reaction: Disproportionation
-! Flux pairs: C8H14L(112), C8H15L(61); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C8H14L(112)<=>C6H7R(24238)+C8H15L(61) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6935; RMG #693711
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(62); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H12R(108)<=>C6H7R(24238)+C7H13R(62) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6936; RMG #693745
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(103), C6H11L(63); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10L(103)<=>C6H7R(24238)+C6H11L(63) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6937; RMG #693861
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C6H8R(288)<=>C(75)+C6H7R(24238) 1.150000e+13 -0.320 0.000
-
-! Reaction index: Chemkin #6938; RMG #693936
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C6H8R(288)<=>[H][H](83)+C6H7R(24238) 1.191692e+10 0.568 0.000
-
-! Reaction index: Chemkin #6939; RMG #693974
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C6H8R(288)<=>C3H5L(86)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6940; RMG #694004
-! Template reaction: Disproportionation
-! Flux pairs: C7H15(85), CC(C)CC(C)C(87); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H15(85)<=>C6H7R(24238)+CC(C)CC(C)C(87) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6941; RMG #694144
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C6H8R(288)<=>CCC(95)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6942; RMG #694148
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C6H8R(288)<=>CCC(95)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6943; RMG #694188
-! Template reaction: Disproportionation
-! Flux pairs: C6H10R(90), C6H11R(98); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10R(90)<=>C6H7R(24238)+C6H11R(98) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6944; RMG #694398
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(107); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10L(169)<=>C6H7R(24238)+C6H11L(107) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6945; RMG #694406
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(103), C6H11L(107); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10L(103)<=>C6H7R(24238)+C6H11L(107) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6946; RMG #694772
-! Template reaction: Disproportionation
-! Flux pairs: C6H9(160), C6H10(116); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H8R(288)+C6H9(160)<=>C6H7R(24238)+C6H10(116) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6947; RMG #694827
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H8(118); C6H7(123), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H8R(288)<=>C6H7R(24238)+C6H8(118) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6948; RMG #694866
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(120); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H12R(199)<=>C6H7R(24238)+C7H13R(120) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6949; RMG #694878
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(108), C7H13R(120); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H12R(108)<=>C6H7R(24238)+C7H13R(120) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6950; RMG #694932
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H8(125); C6H7(123), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C6H8R(288)<=>C6H7R(24238)+C6H8(125) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #6951; RMG #695623
-! Template reaction: Disproportionation
-! Flux pairs: C10H14R(247), C10H14(179); C10H13(202), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C10H14R(247)<=>C10H13R(18281)+C10H14(179) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6952; RMG #695721
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C10H13(202)<=>C6H7R(24238)+C10H14(179) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6953; RMG #696972
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C11H15(234)<=>C10H13R(18281)+C11H16(229) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6954; RMG #697070
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C11H15(234)<=>C6H7R(24238)+C11H16(229) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6955; RMG #698519
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C12H15(323)<=>C10H13R(18281)+C12H16(269) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6956; RMG #698617
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C12H15(323)<=>C6H7R(24238)+C12H16(269) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6957; RMG #699443
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C11H13(298)<=>C10H13R(18281)+C11H14(276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6958; RMG #699541
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C11H13(298)<=>C6H7R(24238)+C11H14(276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6959; RMG #701828
-! Template reaction: Disproportionation
-! Flux pairs: C6H10L(169), C6H11L(325); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C6H10L(169)<=>C6H7R(24238)+C6H11L(325) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6960; RMG #702030
-! Template reaction: Disproportionation
-! Flux pairs: C7H12R(199), C7H13R(330); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C7H12R(199)<=>C6H7R(24238)+C7H13R(330) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6961; RMG #702781
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C6H8R(288)<=>CC(C)C(29484)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6962; RMG #704393
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C12H15(18406)<=>C6H7R(24238)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6963; RMG #705882
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C11H13(18468)<=>C6H7R(24238)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6964; RMG #706031
-! Template reaction: Disproportionation
-! Flux pairs: C6H8R(288), C6H7R(24238); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C6H8R(288)<=>C4H7L(36302)+C6H7R(24238) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #6965; RMG #143919
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(58), C9H12R(18224); C6H7(239), C9H12R(18224);
-! Estimated using template [Cds-CsH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-CsH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5R(58)+C6H7(239)<=>C9H12R(18224) 2.382500e+02 2.700 11.200
-
-! Reaction index: Chemkin #6966; RMG #706136
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H12R(18224), C9H12R(38723);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R
-C9H12R(18224)<=>C9H12R(38723) 1.053080e+11 0.266 5.998
-
-! Reaction index: Chemkin #6967; RMG #545310
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C10H15(18437), C10H15(32869);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_N-1R!H-inRing_Sp-4R!H-3R!H_Ext-5R!H-R_2R!H-inRing_Ext-4R!H-R
-C10H15(18437)<=>C10H15(32869) 1.448900e+10 1.223 13.631
-
-! Reaction index: Chemkin #6968; RMG #143550
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H6(18), C9H13(18191); C6H7(239), C9H13(18191);
-! Estimated using template [Cds-CsH_Cds-HH;CsJ-CdHH] for rate rule [Cds-CsH_Cds-HH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H6(18)+C6H7(239)<=>C9H13(18191) 6.850000e+01 2.840 12.200
-
-! Reaction index: Chemkin #6969; RMG #179556
-! Library reaction: restart_edge
-! Flux pairs: C9H13(260), C9H13(20452);
-! Estimated from node Backbone3_N-Sp-4R!H=1R!H_Sp-2R!H-1R!H_Ext-5R!H-R_Ext-3R!H-R
-C9H13(260)<=>C9H13(20452) 9.639880e+06 0.978 9.763
-
-! Reaction index: Chemkin #6970; RMG #706775
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H13(18191), C9H13(20452);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R
-C9H13(18191)<=>C9H13(20452) 1.053080e+11 0.266 6.120
-
-! Reaction index: Chemkin #6971; RMG #706774
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H13(18191), C9H13(38809);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R
-C9H13(18191)<=>C9H13(38809) 1.053080e+11 0.266 9.387
-
-! Reaction index: Chemkin #6972; RMG #706135
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H12R(18224), C9H12R(38722);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_Ext-5R!H-R
-C9H12R(18224)<=>C9H12R(38722) 1.053080e+11 0.266 9.229
-
-! Reaction index: Chemkin #6973; RMG #148248
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18717); C6H9(160), C12H16(18717);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(160)<=>C12H16(18717) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #6974; RMG #393812
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(337)<=>C9H17LR(65)+C12H16(18717) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6975; RMG #393813
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(337)<=>C9H17LR(69)+C12H16(18717) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6976; RMG #393814
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6977; RMG #393815
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6978; RMG #393816
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C12H15(337)<=>C9H17LR(72)+C12H16(18717) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #6979; RMG #393817
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6980; RMG #393818
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6981; RMG #393819
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6982; RMG #393820
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C12H16(18717)<=>RC10L(1)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6983; RMG #393993
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C3H4R(78), C3H5R(12);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C12H16(18717)<=>C3H5R(12)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6984; RMG #394037
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C12H16(18717)<=>CC(C)L(13)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6985; RMG #394062
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C12H16(18717)<=>CCCC(C)L(16)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6986; RMG #394104
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H10R(171), C6H11R(17);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C12H16(18717)<=>C6H11R(17)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6987; RMG #394168
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C12H15(337)<=>C3H5(102)+C12H16(18717) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #6988; RMG #394255
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C12H16(18717)<=>CC(C)CR(20)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6989; RMG #394370
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C12H16(18717)<=>CR(22)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6990; RMG #394394
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H14R(9)+C12H16(18717)<=>CC(C)CC(C)CR(23)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6991; RMG #394446
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C5H8L(89), C5H9L(24);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C12H16(18717)<=>C5H9L(24)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #6992; RMG #394511
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C12H16(18717)<=>CC(C)CC(C)L(25)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #6993; RMG #394546
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C12H16(18717)<=>CCL(26)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6994; RMG #394567
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C12H16(18717)<=>CCCR(27)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6995; RMG #395118
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C12H16(18717)<=>CCCC(C)CR(32)+C12H15(337) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #6996; RMG #395302
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); CC(L)CC(C)L(35), C5H9L2(203);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CC(L)CC(C)L(35)+C12H15(337)<=>C5H9L2(203)+C12H16(18717) 1.390000e-02 4.340 14.900
-
-! Reaction index: Chemkin #6997; RMG #396806
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C12H15(337)<=>C6H10R(90)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #6998; RMG #396809
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C12H16(18717)<=>C6H11R(56)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #6999; RMG #396880
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C12H15(337)<=>C5H8L(77)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7000; RMG #396882
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C12H16(18717)<=>C5H9L(57)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7001; RMG #396943
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C12H16(18717)<=>C3H5R(58)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7002; RMG #396990
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C12H16(18717)<=>C3H5L(59)+C12H15(337) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #7003; RMG #397032
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C12H16(18717)<=>C4H7R(60)+C12H15(337) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #7004; RMG #397033
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C4H6R(79), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C12H16(18717)<=>C4H7R(60)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7005; RMG #397152
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C7H12R(108), C7H13R(62);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C12H16(18717)<=>C7H13R(62)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7006; RMG #397226
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H10L(103), C6H11L(63);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C12H16(18717)<=>C6H11L(63)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7007; RMG #397279
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C12H15(337)<=>CH3(74)+C12H16(18717) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #7008; RMG #397381
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C12H16(18717)<=>C4H7R(81)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7009; RMG #397432
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C5H8L(77), C5H9L(84);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(77)+C12H16(18717)<=>C5H9L(84)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7010; RMG #397483
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C3H4L(219), C3H5L(86);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4L(219)+C12H16(18717)<=>C3H5L(86)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7011; RMG #397680
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C12H15(337)<=>C[CH]C(94)+C12H16(18717) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #7012; RMG #397681
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C12H16(18717)<=>CCC(95)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7013; RMG #397708
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H10R(90), C6H11R(98);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(90)+C12H16(18717)<=>C6H11R(98)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7014; RMG #397963
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C12H15(337)<=>C6H10L(169)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7015; RMG #397965
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C12H16(18717)<=>C6H11L(107)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7016; RMG #398828
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H9(160), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H9(160)+C12H16(18717)<=>C6H10(116)+C12H15(337) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7017; RMG #398829
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C6H9(114), C6H10(116);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9(114)+C12H16(18717)<=>C6H10(116)+C12H15(337) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7018; RMG #399064
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H8(118), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(118)+C12H15(337)<=>C6H7(123)+C12H16(18717) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #7019; RMG #399065
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H8(118), C6H7(239);
-! Estimated using template [C/H3/Cd;C_rad/H/CdCs] for rate rule [2_methyl_CPD;C_rad/H/CdCs]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H8(118)+C12H15(337)<=>C6H7(239)+C12H16(18717) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #7020; RMG #399149
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C7H13R(120), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C12H15(337)<=>C7H12R(199)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7021; RMG #399152
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C12H16(18717)<=>C7H13R(120)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7022; RMG #399238
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H8(125), C6H7(123);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(125)+C12H15(337)<=>C6H7(123)+C12H16(18717) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #7023; RMG #399407
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C4H7(156), C4H8(157);
-! Estimated using template [C/H2/CdCs;C_rad/H2/Cd] for rate rule [C/H2/CdCs;C_rad/H2/Cd\Cs_Cd\H2]
-! Euclidian distance = 1.0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H7(156)+C12H16(18717)<=>C4H8(157)+C12H15(337) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #7024; RMG #399595
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C5H8(173), C5H7(174);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C5H8(173)+C12H15(337)<=>C5H7(174)+C12H16(18717) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #7025; RMG #400009
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C5H8(180), C5H7(178);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C5H8(180)+C12H15(337)<=>C5H7(178)+C12H16(18717) 9.160000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7026; RMG #400291
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C5H6(187), C5H5(189);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H6(187)+C12H15(337)<=>C5H5(189)+C12H16(18717) 1.962000e-03 4.340 6.300
-
-! Reaction index: Chemkin #7027; RMG #405646
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H9R(285), C6H8R(287);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H9R(285)+C12H15(337)<=>C6H8R(287)+C12H16(18717) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #7028; RMG #406928
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C12H15(337)<=>C6H10L(169)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7029; RMG #406988
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); C7H13R(330), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C12H15(337)<=>C7H12R(199)+C12H16(18717) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7030; RMG #493099
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)C(399)+C12H16(18717)<=>CC(C)C(29484)+C12H15(337) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7031; RMG #682447
-! Template reaction: H_Abstraction
-! Flux pairs: C12H16(18717), C12H15(337); C4H6L(1895), C4H7L(36302);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6L(1895)+C12H16(18717)<=>C4H7L(36302)+C12H15(337) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7032; RMG #706175
-! Template reaction: H_Abstraction
-! Flux pairs: C12H15(337), C12H16(18717); [H][H](83), H(82);
-! From training reaction 790 used for H2;C_rad/H/CdCs
-! Exact match found for rate rule [H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-! Ea raised from 92.9 to 93.1 kJ/mol to match endothermicity of reaction.
-[H][H](83)+C12H15(337)<=>H(82)+C12H16(18717) 4.580000e-02 4.340 22.252
-
-! Reaction index: Chemkin #7033; RMG #706960
-! Template reaction: R_Recombination
-! Flux pairs: C12H15(337), C12H16(18717); H(82), C12H16(18717);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_2CNO-inRing_Ext-2CNO-R_Ext-3R!H-R_Ext-4R!H-R_Sp-4R!H-3R!H
-H(82)+C12H15(337)<=>C12H16(18717) 1.576430e+13 -0.222 0.000
-
-! Reaction index: Chemkin #7034; RMG #707043
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C12H15(337)<=>C3H6(18)+C12H16(18717) 2.105300e+14 -0.550 0.161
-
-! Reaction index: Chemkin #7035; RMG #707053
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C12H15(337)<=>C3H6(18)+C12H16(18717) 2.451708e+27 -4.376 7.519
-
-! Reaction index: Chemkin #7036; RMG #707205
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C12H15(337)<=>C3H5R(12)+C12H16(18717) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #7037; RMG #707303
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C12H15(337)<=>C6H11R(17)+C12H16(18717) 1.225854e+27 -4.376 7.433
-
-! Reaction index: Chemkin #7038; RMG #707325
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C12H15(337)<=>C2H3L(19)+C12H16(18717) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #7039; RMG #707421
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C12H15(337)<=>C8H15L(21)+C12H16(18717) 1.225854e+27 -4.376 7.433
-
-! Reaction index: Chemkin #7040; RMG #707513
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C12H15(337)<=>C5H9L(24)+C12H16(18717) 1.225854e+27 -4.376 7.433
-
-! Reaction index: Chemkin #7041; RMG #707811
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C12H15(337)<=>C6H11R(56)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7042; RMG #707861
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C12H15(337)<=>C5H9L(57)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7043; RMG #707909
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C12H15(337)<=>C3H5R(58)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7044; RMG #707931
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C12H15(337)<=>C3H5L(59)+C12H16(18717) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #7045; RMG #707969
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C12H15(337)<=>C4H7R(60)+C12H16(18717) 5.258140e+13 -0.550 0.110
-
-! Reaction index: Chemkin #7046; RMG #708037
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C12H15(337)<=>C8H15L(61)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7047; RMG #708093
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C12H15(337)<=>C7H13R(62)+C12H16(18717) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7048; RMG #708143
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C12H15(337)<=>C6H11L(63)+C12H16(18717) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7049; RMG #708345
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C12H15(337)<=>C4H5L(91)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7050; RMG #708761
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(337)<=>C6H8(118)+C12H16(18717) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7051; RMG #708881
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C12H15(337)<=>C6H8(125)+C12H16(18717) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7052; RMG #708891
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C12H15(337)<=>C6H8(125)+C12H16(18717) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7053; RMG #708923
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C12H15(337)<=>C4H8(157)+C12H16(18717) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7054; RMG #709144
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C5H7(178), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C12H15(337)<=>C5H6(187)+C12H16(18717) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7055; RMG #709259
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(18175), C6H7(239); C12H15(337), C12H16(18717);
-! From training reaction 1131 used for C/H2/CdCd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/CdCd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C6H8(18175)+C12H15(337)<=>C6H7(239)+C12H16(18717) 3.924000e-03 4.340 6.300
-
-! Reaction index: Chemkin #7056; RMG #709275
-! Template reaction: H_Abstraction
-! Flux pairs: C6H8(290), C6H7(239); C12H15(337), C12H16(18717);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H8(290)+C12H15(337)<=>C6H7(239)+C12H16(18717) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7057; RMG #709319
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H7(239), C6H6(252);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C12H15(337)<=>C6H6(252)+C12H16(18717) 1.350000e+03 2.700 0.413
-
-! Reaction index: Chemkin #7058; RMG #709339
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H7(123), C6H6(252);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H7(123)+C12H15(337)<=>C6H6(252)+C12H16(18717) 1.225854e+27 -4.376 11.389
-
-! Reaction index: Chemkin #7059; RMG #709373
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C12H15(337)<=>C5H7L(262)+C12H16(18717) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #7060; RMG #709403
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C12H15(337)<=>C5H7L(262)+C12H16(18717) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #7061; RMG #709473
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C12H15(337)<=>C6H9R(285)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7062; RMG #709543
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H9(114), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H9(114)+C12H15(337)<=>C6H8(290)+C12H16(18717) 1.225854e+27 -4.376 11.229
-
-! Reaction index: Chemkin #7063; RMG #709737
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H10R(171), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H10R(171)+C12H15(337)<=>C6H9R(1802)+C12H16(18717) 5.258140e+13 -0.550 0.781
-
-! Reaction index: Chemkin #7064; RMG #709767
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H10R(90), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C6H10R(90)+C12H15(337)<=>C6H9R(1802)+C12H16(18717) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #7065; RMG #709817
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C5H9LR(138), C5H8LR(1393);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9LR(138)+C12H15(337)<=>C5H8LR(1393)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7066; RMG #709911
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C6H8R(288), C6H7R(24238);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(288)+C12H15(337)<=>C6H7R(24238)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7067; RMG #144448
-! Library reaction: restart_edge
-! Flux pairs: C4H7(156), C10H14(18433); C6H7(239), C10H14(18433);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C4H7(156)+C6H7(239)<=>C10H14(18433) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #7068; RMG #179554
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]L(8), C12H18L(259); C10H14(18433), C12H18L(259);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]L(8)+C10H14(18433)<=>C12H18L(259) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #7069; RMG #263154
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C[CH]CR(10), C13H20R(281); C10H14(18433), C13H20R(281);
-! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C[CH]CR(10)+C10H14(18433)<=>C13H20R(281) 5.575000e+02 2.470 3.895
-
-! Reaction index: Chemkin #7070; RMG #545315
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C10H14(18433), C10H15(18437); H(82), C10H15(18437);
-! From training reaction 2927 used for Cds-HH_Cds-CsCs;HJ
-! Exact match found for rate rule [Cds-HH_Cds-CsCs;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C10H14(18433)<=>C10H15(18437) 1.691000e+10 1.168 2.996
-
-! Reaction index: Chemkin #7071; RMG #709954
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(65), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(65)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593
-
-! Reaction index: Chemkin #7072; RMG #709960
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(69), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(69)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593
-
-! Reaction index: Chemkin #7073; RMG #709966
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(66), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(66)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7074; RMG #709972
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(68), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(68)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7075; RMG #709978
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(72), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(72)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.593
-
-! Reaction index: Chemkin #7076; RMG #709984
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(73), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(73)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7077; RMG #709990
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(71), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(71)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7078; RMG #709996
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(67), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(67)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7079; RMG #710002
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C9H17LR(70), RC10L(1);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C9H17LR(70)+C10H15(18437)<=>RC10L(1)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7080; RMG #710056
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C10H20R(64)<=>C10H14(18433)+RC10(2) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7081; RMG #710110
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C10H20L(76)<=>C10H14(18433)+LC10(3) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7082; RMG #710142
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C10H15(18437)<=>C3H5R(12)+C10H14(18433) 2.451708e+27 -4.376 6.892
-
-! Reaction index: Chemkin #7083; RMG #710182
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)L(4)+C10H15(18437)<=>CC(C)L(13)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7084; RMG #710200
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)L(7)+C10H15(18437)<=>CCCC(C)L(16)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7085; RMG #710224
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(171)+C10H15(18437)<=>C6H11R(17)+C10H14(18433) 2.451708e+27 -4.376 7.020
-
-! Reaction index: Chemkin #7086; RMG #710270
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 12.0
-C3H5(102)+C10H15(18437)<=>C3H6(18)+C10H14(18433) 6.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7087; RMG #710344
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)CR(6)+C10H15(18437)<=>CC(C)CR(20)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7088; RMG #710414
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]R(14)+C10H15(18437)<=>CR(22)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7089; RMG #710450
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H14R(9)+C10H15(18437)<=>CC(C)CC(C)CR(23)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7090; RMG #710462
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(89)+C10H15(18437)<=>C5H9L(24)+C10H14(18433) 2.451708e+27 -4.376 7.020
-
-! Reaction index: Chemkin #7091; RMG #710520
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H12L(11)+C10H15(18437)<=>CC(C)CC(C)L(25)+C10H14(18433) 2.451708e+27 -4.376 3.813
-
-! Reaction index: Chemkin #7092; RMG #710538
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]L(8)+C10H15(18437)<=>CCL(26)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7093; RMG #710544
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CR(10)+C10H15(18437)<=>CCCR(27)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7094; RMG #710874
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]CC(C)CR(5)+C10H15(18437)<=>CCCC(C)CR(32)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7095; RMG #711024
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H9L2(203)+C10H15(18437)<=>CC(L)CC(C)L(35)+C10H14(18433) 2.451708e+27 -4.376 4.593
-
-! Reaction index: Chemkin #7096; RMG #711930
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C8H16L(15)+C10H15(18437)<=>C8H17L(49)+C10H14(18433) 2.451708e+27 -4.376 4.251
-
-! Reaction index: Chemkin #7097; RMG #712026
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(90)+C10H15(18437)<=>C6H11R(56)+C10H14(18433) 2.451708e+27 -4.376 7.329
-
-! Reaction index: Chemkin #7098; RMG #712044
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(171)+C10H15(18437)<=>C6H11R(56)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7099; RMG #712078
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C10H15(18437)<=>C5H9L(57)+C10H14(18433) 2.451708e+27 -4.376 7.329
-
-! Reaction index: Chemkin #7100; RMG #712090
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(89)+C10H15(18437)<=>C5H9L(57)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7101; RMG #712124
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4R(78)+C10H15(18437)<=>C3H5R(58)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7102; RMG #712158
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C3H4L(147)+C10H15(18437)<=>C3H5L(59)+C10H14(18433) 4.903416e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7103; RMG #712186
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C4H6R(224)+C10H15(18437)<=>C4H7R(60)+C10H14(18433) 4.903416e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7104; RMG #712192
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(79)+C10H15(18437)<=>C4H7R(60)+C10H14(18433) 2.451708e+27 -4.376 6.892
-
-! Reaction index: Chemkin #7105; RMG #712220
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C8H14L(112)+C10H15(18437)<=>C8H15L(61)+C10H14(18433) 2.451708e+27 -4.376 7.329
-
-! Reaction index: Chemkin #7106; RMG #712290
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(108)+C10H15(18437)<=>C7H13R(62)+C10H14(18433) 2.451708e+27 -4.376 7.020
-
-! Reaction index: Chemkin #7107; RMG #712342
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(103)+C10H15(18437)<=>C6H11L(63)+C10H14(18433) 2.451708e+27 -4.376 7.020
-
-! Reaction index: Chemkin #7108; RMG #712382
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); CH3(74), C(75);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-CH3(74)+C10H15(18437)<=>C(75)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7109; RMG #712532
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6R(79)+C10H15(18437)<=>C4H7R(81)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7110; RMG #712560
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); H(82), [H][H](83);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
-! Multiplied by reaction path degeneracy 6.0
-H(82)+C10H15(18437)<=>[H][H](83)+C10H14(18433) 4.338000e+13 0.000 2.542
-
-! Reaction index: Chemkin #7111; RMG #712566
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C5H8L(77)+C10H15(18437)<=>C5H9L(84)+C10H14(18433) 2.451708e+27 -4.376 7.008
-
-! Reaction index: Chemkin #7112; RMG #712606
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C3H4L(219)+C10H15(18437)<=>C3H5L(86)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7113; RMG #712670
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C7H15(85)+C10H15(18437)<=>CC(C)CC(C)C(87)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7114; RMG #712788
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H15(18437)<=>CCC(95)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7115; RMG #712794
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]CC(195)+C10H15(18437)<=>CCC(95)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7116; RMG #712800
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10R(90)+C10H15(18437)<=>C6H11R(98)+C10H14(18433) 2.451708e+27 -4.376 7.008
-
-! Reaction index: Chemkin #7117; RMG #713027
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(169)+C10H15(18437)<=>C6H11L(107)+C10H14(18433) 2.451708e+27 -4.376 7.329
-
-! Reaction index: Chemkin #7118; RMG #713039
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(103)+C10H15(18437)<=>C6H11L(107)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7119; RMG #713101
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(113)+C10H15(18437)<=>C6H10(110)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7120; RMG #713315
-! Template reaction: H_Abstraction
-! Flux pairs: C6H10(110), C6H9(113); C12H15(337), C12H16(18717);
-! Estimated using an average for rate rule [C/H3/Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C6H10(110)+C12H15(337)<=>C6H9(113)+C12H16(18717) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #7121; RMG #713548
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H9(160)+C10H15(18437)<=>C6H10(116)+C10H14(18433) 4.903416e+27 -4.376 7.596
-
-! Reaction index: Chemkin #7122; RMG #713554
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H9(114)+C10H15(18437)<=>C6H10(116)+C10H14(18433) 2.451708e+27 -4.376 7.596
-
-! Reaction index: Chemkin #7123; RMG #713684
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C10H15(18437)<=>C6H8(118)+C10H14(18433) 4.903416e+27 -4.376 6.989
-
-! Reaction index: Chemkin #7124; RMG #713690
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H15(18437)<=>C6H8(118)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7125; RMG #713746
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(199)+C10H15(18437)<=>C7H13R(120)+C10H14(18433) 2.451708e+27 -4.376 7.329
-
-! Reaction index: Chemkin #7126; RMG #713764
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(108)+C10H15(18437)<=>C7H13R(120)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7127; RMG #713792
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C6H7(123)+C10H15(18437)<=>C6H8(125)+C10H14(18433) 4.903416e+27 -4.376 7.071
-
-! Reaction index: Chemkin #7128; RMG #714026
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 12.0
-C4H7(156)+C10H15(18437)<=>C4H8(157)+C10H14(18433) 6.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7129; RMG #714192
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 12.0
-C5H7(174)+C10H15(18437)<=>C5H8(173)+C10H14(18433) 6.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7130; RMG #714345
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(179); C10H13(202), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H13(202)+C10H15(18437)<=>C10H14(18433)+C10H14(179) 2.451708e+27 -4.376 7.657
-
-! Reaction index: Chemkin #7131; RMG #714441
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 12.0
-C5H7(178)+C10H15(18437)<=>C5H8(180)+C10H14(18433) 4.903416e+27 -4.376 7.596
-
-! Reaction index: Chemkin #7132; RMG #714557
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 30.0
-C5H5(189)+C10H15(18437)<=>C5H6(187)+C10H14(18433) 1.225854e+28 -4.376 6.973
-
-! Reaction index: Chemkin #7133; RMG #714691
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C8H13(191), C8H12(194);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H13(191)+C12H15(337)<=>C8H12(194)+C12H16(18717) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #7134; RMG #715463
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C11H15(234)<=>C10H14(18433)+C11H16(229) 2.451708e+27 -4.376 7.596
-
-! Reaction index: Chemkin #7135; RMG #715681
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H14R(316), C10H13R(240);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H14R(316)+C12H15(337)<=>C10H13R(240)+C12H16(18717) 1.225854e+27 -4.376 7.443
-
-! Reaction index: Chemkin #7136; RMG #716891
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C12H15(323)<=>C10H14(18433)+C12H16(269) 2.451708e+27 -4.376 7.657
-
-! Reaction index: Chemkin #7137; RMG #717297
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H13(260), C9H12(272);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(260)+C12H15(337)<=>C9H12(272)+C12H16(18717) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #7138; RMG #717735
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C11H13(298)<=>C10H14(18433)+C11H14(276) 2.451708e+27 -4.376 7.657
-
-! Reaction index: Chemkin #7139; RMG #717863
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(22038), C12H16(18717); C12H15(337), C12H14(277);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C12H15(337)+C12H15(22038)<=>C12H14(277)+C12H16(18717) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7140; RMG #718059
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H8R(287)+C10H15(18437)<=>C6H9R(285)+C10H14(18433) 2.451708e+27 -4.376 8.172
-
-! Reaction index: Chemkin #7141; RMG #718144
-! Template reaction: H_Abstraction
-! Flux pairs: C6H9R(1802), C6H8R(287); C12H15(337), C12H16(18717);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H9R(1802)+C12H15(337)<=>C6H8R(287)+C12H16(18717) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7142; RMG #718238
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H15(18437)<=>C6H8(290)+C10H14(18433) 2.451708e+27 -4.376 9.002
-
-! Reaction index: Chemkin #7143; RMG #718742
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H10L(169)+C10H15(18437)<=>C6H11L(325)+C10H14(18433) 2.451708e+27 -4.376 7.370
-
-! Reaction index: Chemkin #7144; RMG #718782
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C7H12R(199)+C10H15(18437)<=>C7H13R(330)+C10H14(18433) 2.451708e+27 -4.376 7.370
-
-! Reaction index: Chemkin #7145; RMG #719162
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
-! Multiplied by reaction path degeneracy 6.0
-[CH2]C(C)C(399)+C10H15(18437)<=>CC(C)C(29484)+C10H14(18433) 3.000000e+11 0.000 0.000
-
-! Reaction index: Chemkin #7146; RMG #719672
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H13(311), C9H12(18323);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H13(311)+C12H15(337)<=>C9H12(18323)+C12H16(18717) 1.225854e+27 -4.376 7.628
-
-! Reaction index: Chemkin #7147; RMG #720028
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H7(239)+C10H15(18437)<=>C6H8(18175)+C10H14(18433) 2.451708e+27 -4.376 10.193
-
-! Reaction index: Chemkin #7148; RMG #720166
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18225), C9H11R(18275);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12R(18225)+C12H15(337)<=>C9H11R(18275)+C12H16(18717) 1.225854e+27 -4.376 7.301
-
-! Reaction index: Chemkin #7149; RMG #720564
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H14R(316), C10H13R(18283);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(316)+C12H15(337)<=>C10H13R(18283)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7150; RMG #721024
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C12H15(18406)<=>C10H14(18433)+C12H16(18680) 2.451708e+27 -4.376 7.657
-
-! Reaction index: Chemkin #7151; RMG #721948
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H12L(293), C9H11L(18431);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C9H12L(293)+C12H15(337)<=>C9H11L(18431)+C12H16(18717) 1.225854e+27 -4.376 7.443
-
-! Reaction index: Chemkin #7152; RMG #722746
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H14R(18285), C10H13R(18278);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H14R(18285)+C12H15(337)<=>C10H13R(18278)+C12H16(18717) 2.451708e+27 -4.376 7.511
-
-! Reaction index: Chemkin #7153; RMG #722992
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C11H13(18468)<=>C10H14(18433)+C11H14(18772) 2.451708e+27 -4.376 7.657
-
-! Reaction index: Chemkin #7154; RMG #723088
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C6H8R(287)+C10H15(18437)<=>C6H9R(1802)+C10H14(18433) 2.451708e+27 -4.376 8.853
-
-! Reaction index: Chemkin #7155; RMG #723224
-! Template reaction: Disproportionation
-! Flux pairs: C10H15(18437), C10H14(18433); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C4H6L(1895)+C10H15(18437)<=>C4H7L(36302)+C10H14(18433) 2.451708e+27 -4.376 6.234
-
-! Reaction index: Chemkin #7156; RMG #723354
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H14R(247), C10H13R(18281);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C10H14R(247)+C12H15(337)<=>C10H13R(18281)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7157; RMG #723602
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H15(18437), C10H14(18433);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C10H15(18437)+C12H15(337)<=>C10H14(18433)+C12H16(18717) 2.451708e+27 -4.376 7.596
-
-! Reaction index: Chemkin #7158; RMG #143508
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(12), C9H12R(18184); C6H7(239), C9H12R(18184);
-! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CdCsH]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-C3H5R(12)+C6H7(239)<=>C9H12R(18184) 3.860000e+03 2.410 11.370
-
-! Reaction index: Chemkin #7159; RMG #186651
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(65)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7160; RMG #186657
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(69)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7161; RMG #186663
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(66)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7162; RMG #186669
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(68)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7163; RMG #186675
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(72)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7164; RMG #186681
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(73)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7165; RMG #186687
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(71)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7166; RMG #186693
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(67)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7167; RMG #186699
-! Library reaction: restart_edge
-! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C9H17LR(70)<=>C9H11R(263)+RC10L(1) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7168; RMG #186753
-! Library reaction: restart_edge
-! Flux pairs: C10H20R(64), RC10(2); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C10H20R(64)<=>C9H11R(263)+RC10(2) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7169; RMG #186807
-! Library reaction: restart_edge
-! Flux pairs: C10H20L(76), LC10(3); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C10H20L(76)<=>C9H11R(263)+LC10(3) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7170; RMG #186813
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C9H12R(18184)<=>C3H5R(12)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7171; RMG #186853
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C9H12R(18184)<=>CC(C)L(13)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7172; RMG #186871
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H12R(18184)<=>CCCC(C)L(16)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7173; RMG #186895
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C9H12R(18184)<=>C6H11R(17)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7174; RMG #186941
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C9H12R(18184)<=>C3H6(18)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7175; RMG #187015
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C9H12R(18184)<=>CC(C)CR(20)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7176; RMG #187085
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C9H12R(18184)<=>CR(22)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7177; RMG #187121
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C9H12R(18184)<=>CC(C)CC(C)CR(23)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7178; RMG #187133
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C9H12R(18184)<=>C5H9L(24)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7179; RMG #187191
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C9H12R(18184)<=>CC(C)CC(C)L(25)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7180; RMG #187209
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C9H12R(18184)<=>CCL(26)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7181; RMG #187215
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H12R(18184)<=>CCCR(27)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7182; RMG #187245
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H12R(18184)<=>CCCC(C)CR(32)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7183; RMG #187269
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H12R(18184)<=>C6H11R(56)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7184; RMG #187287
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C9H12R(18184)<=>C6H11R(56)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7185; RMG #187321
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C9H12R(18184)<=>C5H9L(57)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7186; RMG #187333
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C9H12R(18184)<=>C5H9L(57)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7187; RMG #187367
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C9H12R(18184)<=>C3H5R(58)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7188; RMG #187401
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C9H12R(18184)<=>C3H5L(59)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7189; RMG #187429
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C9H12R(18184)<=>C4H7R(60)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7190; RMG #187435
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C9H12R(18184)<=>C4H7R(60)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7191; RMG #187463
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C9H12R(18184)<=>C8H15L(61)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7192; RMG #187533
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C9H12R(18184)<=>C7H13R(62)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7193; RMG #187585
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C9H12R(18184)<=>C6H11L(63)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7194; RMG #187625
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C9H12R(18184)<=>C(75)+C9H11R(263) 1.150000e+13 -0.320 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #7195; RMG #187629
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C
-! Multiplied by reaction path degeneracy 2.0
-CH3(74)+C9H12R(18184)<=>C(75)+C9H11R(263) 9.124700e+12 -0.160 0.000
-DUPLICATE
-
-! Reaction index: Chemkin #7196; RMG #187635
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C9H12R(18184)<=>C4H7R(81)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7197; RMG #187663
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C9H12R(18184)<=>[H][H](83)+C9H11R(263) 1.191690e+10 0.568 0.000
-
-! Reaction index: Chemkin #7198; RMG #187670
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C9H12R(18184)<=>C5H9L(84)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7199; RMG #187710
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H12R(18184)<=>C6H11R(98)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7200; RMG #187756
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C9H12R(18184)<=>C6H11L(107)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7201; RMG #187768
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C9H12R(18184)<=>C6H11L(107)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7202; RMG #187802
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C9H12R(18184)<=>C6H10(110)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7203; RMG #187858
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C9H12R(18184)<=>C7H13R(120)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7204; RMG #187876
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C9H12R(18184)<=>C7H13R(120)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7205; RMG #188090
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C9H12R(18184)<=>CC(L)CC(C)L(35)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7206; RMG #188312
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H12R(18184)<=>C8H17L(49)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7207; RMG #188374
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C9H12R(18184)<=>C3H5L(86)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7208; RMG #188420
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C9H12R(18184)<=>CC(C)CC(C)C(87)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7209; RMG #188482
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C9H12R(18184)<=>CCC(95)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7210; RMG #188488
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H12R(18184)<=>CCC(95)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7211; RMG #188692
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H12R(18184)<=>C6H10(116)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7212; RMG #188698
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H12R(18184)<=>C6H10(116)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7213; RMG #188732
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C9H12R(18184)<=>C6H8(118)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7214; RMG #188738
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18184)<=>C6H8(118)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7215; RMG #188794
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C9H12R(18184)<=>C6H8(125)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7216; RMG #188856
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C9H12R(18184)<=>C4H8(157)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7217; RMG #188952
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C9H12R(18184)<=>C5H8(173)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7218; RMG #189020
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H12R(18184)<=>C5H8(180)+C9H11R(263) 3.095870e+12 0.025 0.000
-
-! Reaction index: Chemkin #7219; RMG #189040
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C9H12R(18184)<=>C5H6(187)+C9H11R(263) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #7220; RMG #193817
-! Library reaction: restart_edge
-! Flux pairs: C10H13(202), C10H14(179); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C10H13(202)<=>C9H11R(263)+C10H14(179) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7221; RMG #194511
-! Library reaction: restart_edge
-! Flux pairs: C11H15(234), C11H16(229); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C11H15(234)<=>C9H11R(263)+C11H16(229) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7222; RMG #259266
-! Library reaction: restart_edge
-! Flux pairs: C12H15(323), C12H16(269); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C12H15(323)<=>C9H11R(263)+C12H16(269) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7223; RMG #259590
-! Library reaction: restart_edge
-! Flux pairs: C11H13(298), C11H14(276); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C11H13(298)<=>C9H11R(263)+C11H14(276) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7224; RMG #269475
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C9H12R(18184)<=>C6H9R(285)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7225; RMG #279454
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18184)<=>C6H8(290)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7226; RMG #349319
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C9H12R(18184)<=>C6H11L(325)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7227; RMG #370713
-! Library reaction: restart_edge
-! Flux pairs: C9H12R(18184), C9H11R(263); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C9H12R(18184)<=>C7H13R(330)+C9H11R(263) 1.547940e+12 0.025 0.000
-
-! Reaction index: Chemkin #7228; RMG #409583
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18184), C9H11R(263); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C9H12R(18184)<=>CC(C)C(29484)+C9H11R(263) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7229; RMG #467736
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18184)<=>C6H8(18175)+C9H11R(263) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7230; RMG #524069
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C12H15(18406)<=>C9H11R(263)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7231; RMG #638035
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C11H13(18468)<=>C9H11R(263)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7232; RMG #653677
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18184), C9H11R(263); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C9H12R(18184)<=>C6H9R(1802)+C9H11R(263) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7233; RMG #680618
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18184), C9H11R(263); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H12R(18184)<=>C4H7L(36302)+C9H11R(263) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7234; RMG #716249
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18184), C9H11R(263);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18184)+C12H15(337)<=>C9H11R(263)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7235; RMG #723740
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C9H11R(263), C9H12R(18184); H(82), C9H12R(18184);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H11R(263)<=>C9H12R(18184) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #7236; RMG #724611
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H15(183), C10H14(184);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C10H15(183)+C12H15(337)<=>C10H14(184)+C12H16(18717) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #7237; RMG #724759
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C10H13(202), C10H12(201);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C10H13(202)+C12H15(337)<=>C10H12(201)+C12H16(18717) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7238; RMG #725461
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C11H15(18464), C11H14(246);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(18464)+C12H15(337)<=>C11H14(246)+C12H16(18717) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #7239; RMG #725725
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C12H15(18389), C12H14(257);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C12H15(18389)+C12H15(337)<=>C12H14(257)+C12H16(18717) 1.225854e+27 -4.376 11.307
-
-! Reaction index: Chemkin #7240; RMG #726353
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C11H15(256), C11H14(271);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H15(256)+C12H15(337)<=>C11H14(271)+C12H16(18717) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #7241; RMG #728803
-! Template reaction: Disproportionation
-! Flux pairs: C12H17(266), C12H16(18717); C12H15(337), C12H16(18380);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C12H15(337)+C12H17(266)<=>C12H16(18380)+C12H16(18717) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #7242; RMG #729421
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C11H17(238), C11H16(11281);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H17(238)+C12H15(337)<=>C11H16(11281)+C12H16(18717) 1.225854e+27 -4.376 10.059
-
-! Reaction index: Chemkin #7243; RMG #729431
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C11H17(181), C11H16(11281);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C11H17(181)+C12H15(337)<=>C11H16(11281)+C12H16(18717) 1.225854e+27 -4.376 10.255
-
-! Reaction index: Chemkin #7244; RMG #322092
-! Library reaction: restart_edge
-! Flux pairs: C9H13(311), C9H13(26444);
-! Estimated from node Backbone2_N-Sp-3R!H=1R!H_Ext-5R!H-R_Ext-6R!H-R_Ext-4R!H-R_Sp-7R!H=6R!H
-C9H13(311)<=>C9H13(26444) 2.296220e+09 0.980 14.394
-
-! Reaction index: Chemkin #7245; RMG #143499
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C3H5R(12), C9H12R(18180); C6H7(239), C9H12R(18180);
-! Estimated using template [Cds-HH_Cds-CsH;CsJ-CdHH] for rate rule [Cds-HH_Cds-CsH;CsJ-(CdC)HH]
-! Euclidian distance = 1.0
-! family: R_Addition_MultipleBond
-C3H5R(12)+C6H7(239)<=>C9H12R(18180) 6.550000e+02 2.620 10.900
-
-! Reaction index: Chemkin #7246; RMG #410558
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(65), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(65)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7247; RMG #410564
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(69), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(69)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7248; RMG #410570
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(66), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(66)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7249; RMG #410576
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(68), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(68)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7250; RMG #410582
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(72), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(72)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7251; RMG #410588
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(73), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(73)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7252; RMG #410594
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(71), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(71)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7253; RMG #410600
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(67), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(67)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7254; RMG #410606
-! Template reaction: Disproportionation
-! Flux pairs: C9H17LR(70), RC10L(1); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C9H17LR(70)<=>C9H11R(18276)+RC10L(1) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7255; RMG #410660
-! Template reaction: Disproportionation
-! Flux pairs: C10H20R(64), RC10(2); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C10H20R(64)<=>C9H11R(18276)+RC10(2) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7256; RMG #410714
-! Template reaction: Disproportionation
-! Flux pairs: C10H20L(76), LC10(3); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C10H20L(76)<=>C9H11R(18276)+LC10(3) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7257; RMG #410720
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4R(78), C3H5R(12);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C9H12R(18180)<=>C3H5R(12)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7258; RMG #410760
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)L(4)+C9H12R(18180)<=>CC(C)L(13)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7259; RMG #410778
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C9H12R(18180)<=>CCCC(C)L(16)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7260; RMG #410802
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(171), C6H11R(17);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C9H12R(18180)<=>C6H11R(17)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7261; RMG #410848
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C3H5(102), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H5(102)+C9H12R(18180)<=>C3H6(18)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7262; RMG #410922
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)CR(6)+C9H12R(18180)<=>CC(C)CR(20)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7263; RMG #410992
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]R(14), CR(22);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]R(14)+C9H12R(18180)<=>CR(22)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7264; RMG #411028
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H14R(9), CC(C)CC(C)CR(23);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H14R(9)+C9H12R(18180)<=>CC(C)CC(C)CR(23)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7265; RMG #411040
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(89), C5H9L(24);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C9H12R(18180)<=>C5H9L(24)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7266; RMG #411098
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H12L(11)+C9H12R(18180)<=>CC(C)CC(C)L(25)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7267; RMG #411116
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]L(8), CCL(26);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]L(8)+C9H12R(18180)<=>CCL(26)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7268; RMG #411122
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CR(10), CCCR(27);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C9H12R(18180)<=>CCCR(27)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7269; RMG #411152
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C9H12R(18180)<=>CCCC(C)CR(32)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7270; RMG #411176
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(90), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H12R(18180)<=>C6H11R(56)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7271; RMG #411194
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(171), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(171)+C9H12R(18180)<=>C6H11R(56)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7272; RMG #411228
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(77), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C9H12R(18180)<=>C5H9L(57)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7273; RMG #411240
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(89), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(89)+C9H12R(18180)<=>C5H9L(57)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7274; RMG #411274
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4R(78), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4R(78)+C9H12R(18180)<=>C3H5R(58)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7275; RMG #411308
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4L(147), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C3H4L(147)+C9H12R(18180)<=>C3H5L(59)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7276; RMG #411336
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(224), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H6R(224)+C9H12R(18180)<=>C4H7R(60)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7277; RMG #411342
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(79), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C9H12R(18180)<=>C4H7R(60)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7278; RMG #411370
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C8H14L(112), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H14L(112)+C9H12R(18180)<=>C8H15L(61)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7279; RMG #411440
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(108), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C9H12R(18180)<=>C7H13R(62)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7280; RMG #411492
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(103), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C9H12R(18180)<=>C6H11L(63)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7281; RMG #411532
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); CH3(74), C(75);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
-CH3(74)+C9H12R(18180)<=>C(75)+C9H11R(18276) 1.150000e+13 -0.320 0.000
-
-! Reaction index: Chemkin #7282; RMG #411538
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6R(79), C4H7R(81);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(79)+C9H12R(18180)<=>C4H7R(81)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7283; RMG #411566
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); H(82), [H][H](83);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H
-! Multiplied by reaction path degeneracy 2.0
-H(82)+C9H12R(18180)<=>[H][H](83)+C9H11R(18276) 1.191692e+10 0.568 0.000
-
-! Reaction index: Chemkin #7284; RMG #411572
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H8L(77), C5H9L(84);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H8L(77)+C9H12R(18180)<=>C5H9L(84)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7285; RMG #411612
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C3H4L(219), C3H5L(86);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C3H4L(219)+C9H12R(18180)<=>C3H5L(86)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7286; RMG #411658
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H15(85), CC(C)CC(C)C(87);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H15(85)+C9H12R(18180)<=>CC(C)CC(C)C(87)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7287; RMG #411720
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C[CH]C(94), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]C(94)+C9H12R(18180)<=>CCC(95)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7288; RMG #411726
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]CC(195), CCC(95);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C9H12R(18180)<=>CCC(95)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7289; RMG #411732
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10R(90), C6H11R(98);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C9H12R(18180)<=>C6H11R(98)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7290; RMG #411834
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(169), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C9H12R(18180)<=>C6H11L(107)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7291; RMG #411846
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(103), C6H11L(107);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(103)+C9H12R(18180)<=>C6H11L(107)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7292; RMG #411880
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(113), C6H10(110);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(113)+C9H12R(18180)<=>C6H10(110)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7293; RMG #411942
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(160), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C9H12R(18180)<=>C6H10(116)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7294; RMG #411948
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H9(114), C6H10(116);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C9H12R(18180)<=>C6H10(116)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7295; RMG #411982
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(199), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C9H12R(18180)<=>C7H13R(120)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7296; RMG #412000
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(108), C7H13R(120);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(108)+C9H12R(18180)<=>C7H13R(120)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7297; RMG #412028
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C4H7(156), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C4H7(156)+C9H12R(18180)<=>C4H8(157)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7298; RMG #412056
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H7(174), C5H8(173);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(174)+C9H12R(18180)<=>C5H8(173)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7299; RMG #412124
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H7(178), C5H8(180);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C5H7(178)+C9H12R(18180)<=>C5H8(180)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7300; RMG #412214
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H10L(169), C6H11L(325);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10L(169)+C9H12R(18180)<=>C6H11L(325)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7301; RMG #412260
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); [CH2]C(C)C(399), CC(C)C(29484);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]C(C)C(399)+C9H12R(18180)<=>CC(C)C(29484)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7302; RMG #412398
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H9L2(203), CC(L)CC(C)L(35);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C5H9L2(203)+C9H12R(18180)<=>CC(L)CC(C)L(35)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7303; RMG #412824
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C8H16L(15), C8H17L(49);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C9H12R(18180)<=>C8H17L(49)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7304; RMG #413188
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(123), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C9H12R(18180)<=>C6H8(118)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7305; RMG #413194
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18180)<=>C6H8(118)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7306; RMG #413250
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(123), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 4.0
-C6H7(123)+C9H12R(18180)<=>C6H8(125)+C9H11R(18276) 3.095872e+12 0.025 0.000
-
-! Reaction index: Chemkin #7307; RMG #413504
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C5H5(189), C5H6(187);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 10.0
-C5H5(189)+C9H12R(18180)<=>C5H6(187)+C9H11R(18276) 7.739680e+12 0.025 0.000
-
-! Reaction index: Chemkin #7308; RMG #414728
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H8R(287), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C9H12R(18180)<=>C6H9R(285)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7309; RMG #414860
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(290);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18180)<=>C6H8(290)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7310; RMG #415396
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C7H12R(199), C7H13R(330);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C7H12R(199)+C9H12R(18180)<=>C7H13R(330)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7311; RMG #418986
-! Template reaction: Disproportionation
-! Flux pairs: C10H13(202), C10H14(179); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C10H13(202)<=>C9H11R(18276)+C10H14(179) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7312; RMG #429327
-! Template reaction: Disproportionation
-! Flux pairs: C11H15(234), C11H16(229); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C11H15(234)<=>C9H11R(18276)+C11H16(229) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7313; RMG #437007
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(323), C12H16(269); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C12H15(323)<=>C9H11R(18276)+C12H16(269) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7314; RMG #437891
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(298), C11H14(276); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C11H13(298)<=>C9H11R(18276)+C11H14(276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7315; RMG #469682
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H7(239), C6H8(18175);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C9H12R(18180)<=>C6H8(18175)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7316; RMG #510360
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(18406), C12H16(18680); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C12H15(18406)<=>C9H11R(18276)+C12H16(18680) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7317; RMG #643904
-! Template reaction: Disproportionation
-! Flux pairs: C11H13(18468), C11H14(18772); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C11H13(18468)<=>C9H11R(18276)+C11H14(18772) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7318; RMG #656490
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C6H8R(287), C6H9R(1802);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H8R(287)+C9H12R(18180)<=>C6H9R(1802)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7319; RMG #682544
-! Template reaction: Disproportionation
-! Flux pairs: C9H12R(18180), C9H11R(18276); C4H6L(1895), C4H7L(36302);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C9H12R(18180)<=>C4H7L(36302)+C9H11R(18276) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7320; RMG #719264
-! Template reaction: Disproportionation
-! Flux pairs: C12H15(337), C12H16(18717); C9H12R(18180), C9H11R(18276);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C9H12R(18180)+C12H15(337)<=>C9H11R(18276)+C12H16(18717) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7321; RMG #729745
-! Template reaction: R_Addition_MultipleBond
-! Flux pairs: C9H11R(18276), C9H12R(18180); H(82), C9H12R(18180);
-! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
-! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
-! Euclidian distance = 0
-! family: R_Addition_MultipleBond
-H(82)+C9H11R(18276)<=>C9H12R(18180) 8.892000e+09 1.073 2.175
-
-! Reaction index: Chemkin #7322; RMG #729742
-! Template reaction: Intra_R_Add_Endocyclic
-! Flux pairs: C9H12R(18180), C9H12R(39454);
-! Estimated from node Backbone4_1R!H-inRing_Sp-2R!H-1R!H_Sp-6R!H-5R!H_N-5R!H-inRing
-C9H12R(18180)<=>C9H12R(39454) 1.260000e+11 0.160 6.026
-
-! Reaction index: Chemkin #7323; RMG #144700
-! Library reaction: restart_edge
-! Flux pairs: C4H6R(224), C10H13R(18540); C6H7(239), C10H13R(18540);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-! Multiplied by reaction path degeneracy 2.0
-C4H6R(224)+C6H7(239)<=>C10H13R(18540) 3.535860e+16 -1.003 0.000
-
-! Reaction index: Chemkin #7324; RMG #148266
-! Library reaction: restart_edge
-! Flux pairs: C6H7(239), C12H16(18724); C6H9(161), C12H16(18724);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-3R!H-R_N-Sp-3R!H=2R_Sp-4R!H=3R!H_Ext-1C-R_Ext-5R!H-R
-! Multiplied by reaction path degeneracy 2.0
-C6H7(239)+C6H9(161)<=>C12H16(18724) 6.962580e+13 -0.158 0.000
-
-! Reaction index: Chemkin #7325; RMG #263175
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(65);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H12L(282)<=>C9H17LR(65)+C10H13L(22766) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #7326; RMG #263176
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(69);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H12L(282)<=>C9H17LR(69)+C10H13L(22766) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #7327; RMG #263177
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(66), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(66)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7328; RMG #263178
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(68), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(68)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7329; RMG #263179
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); RC10L(1), C9H17LR(72);
-! From training reaction 957 used for C/H/Cs3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-RC10L(1)+C10H12L(282)<=>C9H17LR(72)+C10H13L(22766) 6.950000e-03 4.340 14.900
-
-! Reaction index: Chemkin #7330; RMG #263180
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(73), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(73)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7331; RMG #263181
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(71), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(71)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7332; RMG #263182
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(67), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(67)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7333; RMG #263183
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C9H17LR(70), RC10L(1);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C9H17LR(70)+C10H13L(22766)<=>RC10L(1)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7334; RMG #263189
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C3H5R(12), C3H4R(78);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H5R(12)+C10H12L(282)<=>C3H4R(78)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7335; RMG #263199
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C3H6(18), C3H5(102);
-! From training reaction 1000 used for C/H3/Cd\H_Cd\H2;C_rad/H/CdCs
-! Exact match found for rate rule [C/H3/Cd\H_Cd\H2;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 3.0
-! family: H_Abstraction
-C3H6(18)+C10H12L(282)<=>C3H5(102)+C10H13L(22766) 2.691000e-03 4.340 14.300
-
-! Reaction index: Chemkin #7336; RMG #263213
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]R(14), CR(22);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]R(14)+C10H13L(22766)<=>CR(22)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7337; RMG #263217
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]L(8), CCL(26);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]L(8)+C10H13L(22766)<=>CCL(26)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7338; RMG #263221
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CR(10), CCCR(27);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CR(10)+C10H13L(22766)<=>CCCR(27)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7339; RMG #263232
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H11R(56), C6H10R(90);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11R(56)+C10H12L(282)<=>C6H10R(90)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7340; RMG #263235
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C6H10R(171), C6H11R(56);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10R(171)+C10H13L(22766)<=>C6H11R(56)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7341; RMG #263247
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(57), C5H8L(77);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C5H9L(57)+C10H12L(282)<=>C5H8L(77)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7342; RMG #263249
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C5H8L(89), C5H9L(57);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H8L(89)+C10H13L(22766)<=>C5H9L(57)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7343; RMG #263259
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C3H4R(78), C3H5R(58);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd\H_Cd\H2]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C3H4R(78)+C10H13L(22766)<=>C3H5R(58)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7344; RMG #263268
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C3H4L(147), C3H5L(59);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C3H4L(147)+C10H13L(22766)<=>C3H5L(59)+C10H12L(282) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #7345; RMG #263277
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C4H6R(224), C4H7R(60);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C4H6R(224)+C10H13L(22766)<=>C4H7R(60)+C10H12L(282) 1.808000e-02 4.340 11.200
-
-! Reaction index: Chemkin #7346; RMG #263278
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C4H7R(60), C4H6R(79);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H7R(60)+C10H12L(282)<=>C4H6R(79)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7347; RMG #263283
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C(75), CH3(74);
-! From training reaction 830 used for C_methane;C_rad/H/CdCs
-! Exact match found for rate rule [C_methane;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 4.0
-! family: H_Abstraction
-C(75)+C10H12L(282)<=>CH3(74)+C10H13L(22766) 4.240000e-02 4.340 24.900
-
-! Reaction index: Chemkin #7348; RMG #263288
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C4H6R(79), C4H7R(81);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C4H6R(79)+C10H13L(22766)<=>C4H7R(81)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7349; RMG #263298
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(84), C5H8L(77);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(84)+C10H12L(282)<=>C5H8L(77)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7350; RMG #263328
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H10(116), C6H9(160);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H12L(282)<=>C6H9(160)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7351; RMG #263329
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H10(116), C6H9(114);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10(116)+C10H12L(282)<=>C6H9(114)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7352; RMG #282291
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]C(C)L(4), CC(C)L(13);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)L(4)+C10H13L(22766)<=>CC(C)L(13)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7353; RMG #282319
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]C(C)CR(6), CC(C)CR(20);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]C(C)CR(6)+C10H13L(22766)<=>CC(C)CR(20)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7354; RMG #282505
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(62), C7H12R(108);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H13R(62)+C10H12L(282)<=>C7H12R(108)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7355; RMG #282536
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(63), C6H10L(103);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11L(63)+C10H12L(282)<=>C6H10L(103)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7356; RMG #282648
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(107), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(107)+C10H12L(282)<=>C6H10L(169)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7357; RMG #282650
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C6H10L(103), C6H11L(107);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H10L(103)+C10H13L(22766)<=>C6H11L(107)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7358; RMG #283051
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C5H9L(24), C5H8L(89);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C5H9L(24)+C10H12L(282)<=>C5H8L(89)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7359; RMG #283065
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C6H12L(11), CC(C)CC(C)L(25);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H12L(11)+C10H13L(22766)<=>CC(C)CC(C)L(25)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7360; RMG #283412
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); CCC(95), C[CH]C(94);
-! From training reaction 914 used for C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs
-! Exact match found for rate rule [C/H2/Cs\H3/Cs\H3;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-CCC(95)+C10H12L(282)<=>C[CH]C(94)+C10H13L(22766) 1.476000e-02 4.340 18.000
-
-! Reaction index: Chemkin #7361; RMG #283413
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); [CH2]CC(195), CCC(95);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-[CH2]CC(195)+C10H13L(22766)<=>CCC(95)+C10H12L(282) 1.806000e-03 4.340 3.500
-
-! Reaction index: Chemkin #7362; RMG #283428
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H11R(98), C6H10R(90);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/CdCs]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C6H11R(98)+C10H12L(282)<=>C6H10R(90)+C10H13L(22766) 4.580000e-03 4.340 11.700
-
-! Reaction index: Chemkin #7363; RMG #283682
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(120), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(120)+C10H12L(282)<=>C7H12R(199)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7364; RMG #283685
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C7H12R(108), C7H13R(120);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H2/Cd]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C7H12R(108)+C10H13L(22766)<=>C7H13R(120)+C10H12L(282) 9.040000e-03 4.340 11.200
-
-! Reaction index: Chemkin #7365; RMG #352687
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CC(C)L(7), CCCC(C)L(16);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)L(7)+C10H13L(22766)<=>CCCC(C)L(16)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7366; RMG #354002
-! Template reaction: H_Abstraction
-! Flux pairs: C10H13L(22766), C10H12L(282); C[CH]CC(C)CR(5), CCCC(C)CR(32);
-! Estimated using an average for rate rule [C/H2/CdCs;C_rad/H/NonDeC]
-! Euclidian distance = 0
-! Multiplied by reaction path degeneracy 2.0
-! family: H_Abstraction
-C[CH]CC(C)CR(5)+C10H13L(22766)<=>CCCC(C)CR(32)+C10H12L(282) 1.706000e-03 4.340 3.100
-
-! Reaction index: Chemkin #7367; RMG #368054
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H11L(325), C6H10L(169);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C6H11L(325)+C10H12L(282)<=>C6H10L(169)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7368; RMG #380530
-! Template reaction: H_Abstraction
-! Flux pairs: C10H12L(282), C10H13L(22766); C7H13R(330), C7H12R(199);
-! From training reaction 1087 used for C/H/Cs2Cd;C_rad/H/CdCs
-! Exact match found for rate rule [C/H/Cs2Cd;C_rad/H/CdCs]
-! Euclidian distance = 0
-! family: H_Abstraction
-C7H13R(330)+C10H12L(282)<=>C7H12R(199)+C10H13L(22766) 1.150000e-03 4.340 9.300
-
-! Reaction index: Chemkin #7369; RMG #668687
-! Template reaction: R_Recombination
-! Flux pairs: C4H6L(1895), C10H13L(22766); C6H7(239), C10H13L(22766);
-! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_1C-inRing_Ext-1C-R_Sp-3R!H-1C_N-2R-inRing_Ext-2R-R
-C4H6L(1895)+C6H7(239)<=>C10H13L(22766) 1.767930e+16 -1.003 0.000
-
-! Reaction index: Chemkin #7370; RMG #738699
-! Template reaction: R_Recombination
-! Flux pairs: C10H12L(282), C10H13L(22766); H(82), C10H13L(22766);
-! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-3R!H-R_Ext-4R!H-R
-H(82)+C10H12L(282)<=>C10H13L(22766) 2.000000e+13 0.000 0.000
-
-! Reaction index: Chemkin #7371; RMG #738897
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CR(10), C3H5R(12);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CR(10)+C10H12L(282)<=>C3H5R(12)+C10H13L(22766) 1.225854e+27 -4.376 6.844
-
-! Reaction index: Chemkin #7372; RMG #738993
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)CR(5), C6H11R(17);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)CR(5)+C10H12L(282)<=>C6H11R(17)+C10H13L(22766) 1.225854e+27 -4.376 6.661
-
-! Reaction index: Chemkin #7373; RMG #739020
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]CC(195), C3H6(18);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
-! Multiplied by reaction path degeneracy 2.0
-[CH2]CC(195)+C10H12L(282)<=>C3H6(18)+C10H13L(22766) 2.105300e+14 -0.550 0.000
-
-! Reaction index: Chemkin #7374; RMG #739029
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]C(94), C3H6(18);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 6.0
-C[CH]C(94)+C10H12L(282)<=>C3H6(18)+C10H13L(22766) 2.451708e+27 -4.376 6.742
-
-! Reaction index: Chemkin #7375; RMG #739050
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]L(8), C2H3L(19);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]L(8)+C10H12L(282)<=>C2H3L(19)+C10H13L(22766) 1.225854e+27 -4.376 6.844
-
-! Reaction index: Chemkin #7376; RMG #739143
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C8H16L(15), C8H15L(21);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C8H16L(15)+C10H12L(282)<=>C8H15L(21)+C10H13L(22766) 1.225854e+27 -4.376 6.661
-
-! Reaction index: Chemkin #7377; RMG #739233
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)L(7), C5H9L(24);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C[CH]CC(C)L(7)+C10H12L(282)<=>C5H9L(24)+C10H13L(22766) 1.225854e+27 -4.376 6.661
-
-! Reaction index: Chemkin #7378; RMG #739392
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)CR(5), C6H11R(56);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)CR(5)+C10H12L(282)<=>C6H11R(56)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7379; RMG #739440
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CC(C)L(7), C5H9L(57);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CC(C)L(7)+C10H12L(282)<=>C5H9L(57)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7380; RMG #739485
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C[CH]CR(10), C3H5R(58);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C[CH]CR(10)+C10H12L(282)<=>C3H5R(58)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7381; RMG #739506
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)L(4), C3H5L(59);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)L(4)+C10H12L(282)<=>C3H5L(59)+C10H13L(22766) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7382; RMG #739542
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)CR(6), C4H7R(60);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)CR(6)+C10H12L(282)<=>C4H7R(60)+C10H13L(22766) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7383; RMG #739608
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C8H16L(15), C8H15L(61);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C8H16L(15)+C10H12L(282)<=>C8H15L(61)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7384; RMG #739662
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C7H14R(9), C7H13R(62);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C7H14R(9)+C10H12L(282)<=>C7H13R(62)+C10H13L(22766) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7385; RMG #739710
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H12L(11), C6H11L(63);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C6H12L(11)+C10H12L(282)<=>C6H11L(63)+C10H13L(22766) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7386; RMG #739917
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C4H6L(1895), C4H5L(91);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C4H6L(1895)+C10H12L(282)<=>C4H5L(91)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-! Reaction index: Chemkin #7387; RMG #740241
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(114), C6H8(118);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H12L(282)<=>C6H8(118)+C10H13L(22766) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7388; RMG #740355
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(114), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 2.0
-C6H9(114)+C10H12L(282)<=>C6H8(125)+C10H13L(22766) 1.350000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7389; RMG #740364
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H9(160), C6H8(125);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_1R!H-inRing
-! Multiplied by reaction path degeneracy 4.0
-C6H9(160)+C10H12L(282)<=>C6H8(125)+C10H13L(22766) 2.700000e+03 2.700 0.000
-
-! Reaction index: Chemkin #7390; RMG #740394
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); [CH2]C(C)C(399), C4H8(157);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-[CH2]C(C)C(399)+C10H12L(282)<=>C4H8(157)+C10H13L(22766) 5.258140e+13 -0.550 0.000
-
-! Reaction index: Chemkin #7391; RMG #740562
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C5H8L(89), C5H7L(262);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R
-C5H8L(89)+C10H12L(282)<=>C5H7L(262)+C10H13L(22766) 5.258140e+13 -0.550 0.477
-
-! Reaction index: Chemkin #7392; RMG #740589
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C5H8L(77), C5H7L(262);
-! Estimated from node Root_Ext-2R!H-R_2R!H->C
-! Multiplied by reaction path degeneracy 3.0
-C5H8L(77)+C10H12L(282)<=>C5H7L(262)+C10H13L(22766) 1.225854e+27 -4.376 9.310
-
-! Reaction index: Chemkin #7393; RMG #740655
-! Template reaction: Disproportionation
-! Flux pairs: C10H12L(282), C10H13L(22766); C6H10R(90), C6H9R(285);
-! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
-! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C
-! Multiplied by reaction path degeneracy 2.0
-C6H10R(90)+C10H12L(282)<=>C6H9R(285)+C10H13L(22766) 1.547936e+12 0.025 0.000
-
-END
-
diff --git a/ipython/data/cpox_methane/chem_annotated-gas.inp b/ipython/data/cpox_methane/chem_annotated-gas.inp
new file mode 100644
index 00000000000..f71fc7e0551
--- /dev/null
+++ b/ipython/data/cpox_methane/chem_annotated-gas.inp
@@ -0,0 +1,544 @@
+ELEMENTS
+ H
+ D /2.014/
+ T /3.016/
+ C
+ CI /13.003/
+ O
+ OI /17.999/
+ N
+ Ne
+ Ar
+ He
+ Si
+ S
+ F
+ Cl
+ Br
+ I
+ X /195.083/
+END
+
+SPECIES
+ Ar ! Ar
+ Ne ! Ne
+ N2 ! N2
+ CH4(2) ! CH4(2)
+ O2(3) ! O2(3)
+ CO2(4) ! CO2(4)
+ H2O(5) ! H2O(5)
+ H2(6) ! H2(6)
+ CO(7) ! CO(7)
+ C2H6(8) ! C2H6(8)
+ CH2O(9) ! CH2O(9)
+ CH3(10) ! CH3(10)
+ C3H8(11) ! C3H8(11)
+ H(12) ! H(12)
+ C2H5(13) ! C2H5(13)
+ CH3OH(14) ! CH3OH(14)
+ HCO(15) ! HCO(15)
+ CH3CHO(16) ! CH3CHO(16)
+ OH(17) ! OH(17)
+ C2H4(18) ! C2H4(18)
+ CH3CH(19) ! CH3CH(19)
+ CH3OO(20) ! CH3OO(20)
+END
+
+
+
+THERM ALL
+ 300.000 1000.000 5000.000
+
+! Thermo library: primaryThermoLibrary
+Ar Ar 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4
+
+! Thermo library: primaryThermoLibrary
+Ne Ne 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4
+
+! Thermo library: primaryThermoLibrary
+N2 N 2 G 200.000 6000.000 1000.00 1
+ 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2
+-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3
+ 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4
+
+! Thermo library: primaryThermoLibrary
+CH4(2) C 1H 4 G 100.000 5000.000 1084.12 1
+ 9.08259430E-01 1.14540962E-02-4.57174412E-06 8.29193029E-10-5.66316007E-14 2
+-9.71997168E+03 1.39931301E+01 4.20541633E+00-5.35558620E-03 2.51123688E-05 3
+-2.13763364E-08 5.97526027E-12-1.01619434E+04-9.21283218E-01 4
+
+! Thermo library: primaryThermoLibrary
+O2(3) O 2 G 100.000 5000.000 1074.55 1
+ 3.15382081E+00 1.67804371E-03-7.69974236E-07 1.51275462E-10-1.08782414E-14 2
+-1.04081728E+03 6.16755832E+00 3.53732243E+00-1.21571647E-03 5.31620254E-06 3
+-4.89446434E-09 1.45846258E-12-1.03858849E+03 4.68368183E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+CO2(4) C 1O 2 G 100.000 5000.000 978.22 1
+ 4.67427416E+00 2.60962879E-03-9.85683184E-07 1.95712276E-10-1.49834931E-14 2
+-4.89512168E+04-2.11077406E+00 3.28084453E+00 2.50185640E-03 8.08192142E-06 3
+-1.20510369E-08 4.66542684E-12-4.84008303E+04 6.00081438E+00 4
+
+! Thermo library: primaryThermoLibrary
+H2O(5) H 2O 1 G 100.000 5000.000 1130.23 1
+ 2.84325454E+00 2.75107882E-03-7.81027793E-07 1.07242789E-10-5.79385325E-15 2
+-2.99586146E+04 5.91039666E+00 4.05763524E+00-7.87929225E-04 2.90875322E-06 3
+-1.47516271E-09 2.12832915E-13-3.02815866E+04-3.11361934E-01 4
+
+! Thermo library: primaryThermoLibrary
+H2(6) H 2 G 100.000 5000.000 1959.07 1
+ 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2
+-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3
+ 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4
+
+! Thermo library: primaryThermoLibrary
+CO(7) C 1O 1 G 100.000 5000.000 1571.64 1
+ 2.91306239E+00 1.64658456E-03-6.88618210E-07 1.21038081E-10-7.84023563E-15 2
+-1.41808823E+04 6.71048256E+00 3.56838006E+00-8.52126340E-04 2.48917989E-06 3
+-1.56331226E-09 3.13595852E-13-1.42842549E+04 3.57912151E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+C2H6(8) C 2H 6 G 100.000 5000.000 1012.42 1
+ 2.82845780E+00 1.73040987E-02-6.73336647E-06 1.23742590E-09-8.65681088E-14 2
+-1.19977975E+04 5.93825672E+00 3.72239865E+00 1.65077010E-03 3.44177937E-05 3
+-3.76861352E-08 1.24451983E-11-1.15575904E+04 4.68245945E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+CH2O(9) C 1H 2O 1 G 100.000 5000.000 1070.44 1
+ 2.21174394E+00 7.94262445E-03-3.34191224E-06 6.28467142E-10-4.40427951E-14 2
+-1.42974541E+04 1.13047879E+01 4.12927444E+00-4.08397173E-03 2.03227934E-05 3
+-1.83522494E-08 5.37968433E-12-1.44294638E+04 3.22419750E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+CH3(10) C 1H 3 G 100.000 5000.000 697.61 1
+ 3.09511290E+00 5.55429655E-03-1.88158709E-06 3.13334630E-10-2.05194840E-14 2
+ 1.65426189E+04 4.20297326E+00 3.96043207E+00 5.92926692E-04 8.78580229E-06 3
+-9.88037299E-09 3.63237783E-12 1.64218817E+04 3.39861761E-01 4
+
+! Thermo library: DFT_QCI_thermo
+C3H8(11) C 3H 8 G 100.000 5000.000 990.00 1
+ 5.60451848E+00 2.19526774E-02-8.22069003E-06 1.50101249E-09-1.05633081E-13 2
+-1.58394533E+04-6.22689747E+00 3.06333162E+00 1.29218175E-02 3.47019889E-05 3
+-4.70929096E-08 1.71376767E-11-1.43905776E+04 1.07836665E+01 4
+
+! Thermo library: primaryThermoLibrary
+H(12) H 1 G 100.000 5000.000 4879.80 1
+ 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2
+ 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3
+-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+C2H5(13) C 2H 5 G 100.000 5000.000 1006.87 1
+ 3.53785970E+00 1.37310796E-02-5.29559811E-06 9.71471485E-10-6.80280075E-14 2
+ 1.26351580E+04 5.15538097E+00 3.68745362E+00 3.06903728E-03 2.55868151E-05 3
+-2.94070110E-08 9.94048651E-12 1.31153653E+04 6.96689071E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+CH3OH(14) C 1H 4O 1 G 100.000 5000.000 1035.75 1
+ 2.79182744E+00 1.15828112E-02-4.51553413E-06 8.21210187E-10-5.67066120E-14 2
+-2.57211607E+04 9.41070357E+00 3.84006541E+00 1.38238147E-03 1.91668527E-05 3
+-2.01570364E-08 6.39109354E-12-2.56083089E+04 5.90976964E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+HCO(15) C 1H 1O 1 G 100.000 5000.000 1112.10 1
+ 3.05135670E+00 4.11707280E-03-1.75586905E-06 3.29303911E-10-2.29174920E-14 2
+ 3.93008152E+03 7.67467218E+00 4.05936488E+00-1.73847366E-03 9.14984065E-06 3
+-8.01135179E-09 2.25738698E-12 3.84377614E+03 3.32449412E+00 4
+
+! Thermo library: DFT_QCI_thermo
+CH3CHO(16) C 2H 4O 1 G 100.000 5000.000 1028.81 1
+ 4.08563839E+00 1.39061205E-02-5.59370236E-06 1.04609279E-09-7.38738642E-14 2
+-2.20391342E+04 3.76801799E+00 3.57992412E+00 5.18983303E-03 2.26897556E-05 3
+-2.73742720E-08 9.28480001E-12-2.13697374E+04 8.96971515E+00 4
+
+! Thermo library: primaryThermoLibrary
+OH(17) H 1O 1 G 100.000 5000.000 1145.76 1
+ 3.07193724E+00 6.04019839E-04-1.39805930E-08-2.13440813E-11 2.48061367E-15 2
+ 3.57938792E+03 4.57801469E+00 3.51456839E+00 2.92734292E-05-5.32150598E-07 3
+ 1.01947521E-09-3.85939405E-13 3.41425418E+03 2.10434756E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+C2H4(18) C 2H 4 G 100.000 5000.000 979.36 1
+ 3.55666148E+00 1.10626517E-02-4.17013598E-06 7.85573786E-10-5.70050038E-14 2
+ 4.32044177E+03 2.17688329E+00 3.97470131E+00-4.75826458E-03 4.16777352E-05 3
+-4.51383971E-08 1.54221033E-11 4.91540809E+03 3.62436102E+00 4
+
+! Thermo library: DFT_QCI_thermo
+CH3CH(19) C 2H 4 G 100.000 5000.000 960.81 1
+ 4.30486414E+00 9.43069145E-03-3.27558933E-06 5.95122108E-10-4.27307267E-14 2
+ 4.07091457E+04 1.84203490E+00 3.82362693E+00-9.09524648E-04 3.21380397E-05 3
+-3.73480103E-08 1.33090621E-11 4.13713807E+04 7.10947614E+00 4
+
+! Thermo library: thermo_DFT_CCSDTF12_BAC
+CH3OO(20) C 1H 3O 2 G 100.000 5000.000 1031.34 1
+ 4.35019035E+00 1.07183820E-02-4.26218191E-06 7.89585637E-10-5.53852350E-14 2
+-3.09796253E+02 4.08946553E+00 3.58601551E+00 6.15340433E-03 1.33272147E-05 3
+-1.76585177E-08 6.13226209E-12 2.48233263E+02 9.74093531E+00 4
+
+END
+
+
+
+REACTIONS KCAL/MOLE MOLES
+
+! Reaction index: Chemkin #1; RMG #23
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: H2(6), H(12); H2(6), H(12);
+H2(6)+M<=>H(12)+H(12)+M 4.577e+19 -1.400 104.380
+CO(7)/1.90/ H2O(5)/12.00/ H2(6)/2.50/ CO2(4)/3.80/ Ar/0.00/
+
+! Reaction index: Chemkin #2; RMG #24
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: H2(6), H(12); Ar, Ar; Ar, H(12);
+Ar+H2(6)<=>Ar+H(12)+H(12) 5.840000e+18 -1.100 104.380
+
+! Reaction index: Chemkin #3; RMG #21
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: OH(17), H2O(5); H2(6), H(12);
+OH(17)+H2(6)<=>H(12)+H2O(5) 2.160000e+08 1.510 3.430
+
+! Reaction index: Chemkin #4; RMG #30
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: H2O(5), H(12); H2O(5), OH(17);
+H2O(5)+M<=>H(12)+OH(17)+M 6.064e+27 -3.322 120.790
+H2(6)/3.00/ H2O(5)/0.00/ CO(7)/1.90/ CO2(4)/3.80/ O2(3)/1.50/ N2/2.00/
+
+! Reaction index: Chemkin #5; RMG #31
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: H2O(5), H2O(5); H2O(5), H(12); H2O(5), OH(17);
+H2O(5)+H2O(5)<=>H(12)+OH(17)+H2O(5) 1.006000e+26 -2.440 120.180
+
+! Reaction index: Chemkin #6; RMG #45
+! Library reaction: BurkeH2O2inArHe
+! Flux pairs: OH(17), O2(3); OH(17), H2(6);
+OH(17)+OH(17)<=>O2(3)+H2(6) 2.000000e+11 0.510 50.500
+
+! Reaction index: Chemkin #7; RMG #51
+! Template reaction: R_Recombination
+! Flux pairs: CH3(10), CH4(2); H(12), CH4(2);
+! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O]
+! family: R_Recombination
+H(12)+CH3(10)<=>CH4(2) 1.930000e+14 0.000 0.270
+
+! Reaction index: Chemkin #8; RMG #55
+! Template reaction: R_Recombination
+! Flux pairs: CH3(10), C2H6(8); CH3(10), C2H6(8);
+! Matched reaction 9 CH3 + CH3 <=> C2H6 in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing]
+! family: R_Recombination
+CH3(10)+CH3(10)<=>C2H6(8) 9.450000e+14 -0.538 0.135
+
+! Reaction index: Chemkin #9; RMG #56
+! Template reaction: R_Recombination
+! Flux pairs: C2H5(13), C2H6(8); H(12), C2H6(8);
+! Matched reaction 58 H + C2H5 <=> C2H6-2 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN]
+! family: R_Recombination
+H(12)+C2H5(13)<=>C2H6(8) 1.000000e+14 0.000 0.000
+
+! Reaction index: Chemkin #10; RMG #57
+! Template reaction: 1,2_Insertion_CO
+! Flux pairs: CO(7), CH2O(9); H2(6), CH2O(9);
+! Matched reaction 2 H2 + CO <=> CH2O in 1,2_Insertion_CO/training
+! This reaction matched rate rule [CO;H2]
+! family: 1,2_Insertion_CO
+H2(6)+CO(7)<=>CH2O(9) 2.890000e+09 1.160 82.100
+
+! Reaction index: Chemkin #11; RMG #58
+! Template reaction: R_Recombination
+! Flux pairs: HCO(15), CH2O(9); H(12), CH2O(9);
+! Matched reaction 63 H + CHO <=> CH2O in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_3R!H->O]
+! family: R_Recombination
+H(12)+HCO(15)<=>CH2O(9) 4.680000e+10 0.000 -4.530
+
+! Reaction index: Chemkin #12; RMG #62
+! Template reaction: R_Recombination
+! Flux pairs: C2H5(13), C3H8(11); CH3(10), C3H8(11);
+! Matched reaction 10 CH3 + C2H5 <=> C3H8 in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Sp-3R!H-2R_3R!H->C_2R->C]
+! family: R_Recombination
+CH3(10)+C2H5(13)<=>C3H8(11) 1.230000e+15 -0.562 0.021
+
+! Reaction index: Chemkin #13; RMG #64
+! Template reaction: Birad_R_Recombination
+! Flux pairs: H(12), C2H5(13); CH3CH(19), C2H5(13);
+! Estimated using an average for rate rule [H_rad;Birad]
+! Euclidian distance = 0
+! family: Birad_R_Recombination
+H(12)+CH3CH(19)<=>C2H5(13) 1.000000e+13 0.000 0.000
+
+! Reaction index: Chemkin #14; RMG #65
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H4(18), C2H5(13); H(12), C2H5(13);
+! Matched reaction 2541 H + C2H4 <=> C2H5-2 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-HH_Cds-HH;HJ]
+! family: R_Addition_MultipleBond
+H(12)+C2H4(18)<=>C2H5(13) 4.620000e+08 1.640 1.010
+
+! Reaction index: Chemkin #15; RMG #68
+! Template reaction: R_Recombination
+! Flux pairs: OH(17), CH3OH(14); CH3(10), CH3OH(14);
+! Matched reaction 73 CH3 + OH <=> CH4O in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_1COS->O_2R->C]
+! family: R_Recombination
+OH(17)+CH3(10)<=>CH3OH(14) 6.030000e+13 0.000 0.000
+
+! Reaction index: Chemkin #16; RMG #72
+! Template reaction: R_Addition_COm
+! Flux pairs: CO(7), HCO(15); H(12), HCO(15);
+! Matched reaction 4 H + CO <=> CHO in R_Addition_COm/training
+! This reaction matched rate rule [COm;H_rad]
+! family: R_Addition_COm
+H(12)+CO(7)<=>HCO(15) 1.180000e+11 0.000 2.720
+
+! Reaction index: Chemkin #17; RMG #73
+! Template reaction: 1,2_Insertion_CO
+! Flux pairs: CO(7), CH3CHO(16); CH4(2), CH3CHO(16);
+! Matched reaction 3 CH4 + CO <=> C2H4O in 1,2_Insertion_CO/training
+! This reaction matched rate rule [CO;C_methane]
+! family: 1,2_Insertion_CO
+CO(7)+CH4(2)<=>CH3CHO(16) 6.560000e+04 2.860 86.900
+
+! Reaction index: Chemkin #18; RMG #76
+! Template reaction: R_Recombination
+! Flux pairs: HCO(15), CH3CHO(16); CH3(10), CH3CHO(16);
+! Matched reaction 71 CH3 + CHO <=> C2H4O in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_3R!H->O]
+! family: R_Recombination
+HCO(15)+CH3(10)<=>CH3CHO(16) 1.810000e+13 0.000 0.000
+
+! Reaction index: Chemkin #19; RMG #84
+! Template reaction: R_Recombination
+! Flux pairs: CH3OO(20), CH3(10); CH3OO(20), O2(3);
+! Matched reaction 0 CH3O2 <=> O2 + CH3 in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_1COS->O_Ext-1O-R_2R->C_3R!H->O]
+! family: R_Recombination
+CH3OO(20)<=>O2(3)+CH3(10) 1.090000e+14 0.250 33.300
+
+! Reaction index: Chemkin #20; RMG #86
+! Template reaction: intra_H_migration
+! Flux pairs: CH3OO(20), OH(17); CH3OO(20), CH2O(9);
+! From training reaction 240 used for R3H_SS_O;O_rad_out;Cs_H_out_2H
+! Exact match found for rate rule [R3H_SS_O;O_rad_out;Cs_H_out_2H]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: intra_H_migration
+CH3OO(20)<=>OH(17)+CH2O(9) 4.710000e+08 1.450 42.270
+
+! Reaction index: Chemkin #21; RMG #125
+! Template reaction: CO_Disproportionation
+! Flux pairs: H(12), H2(6); HCO(15), CO(7);
+! Matched reaction 0 HCO + H <=> CO + H2 in CO_Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->N_4BrCClFHIOPSSi->H]
+! family: CO_Disproportionation
+H(12)+HCO(15)<=>H2(6)+CO(7) 9.030000e+13 0.000 0.000
+
+! Reaction index: Chemkin #22; RMG #128
+! Template reaction: H_Abstraction
+! Flux pairs: CH4(2), CH3(10); H(12), H2(6);
+! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training
+! This reaction matched rate rule [H2;C_methyl]
+! family: H_Abstraction
+H(12)+CH4(2)<=>H2(6)+CH3(10) 4.100000e+03 3.156 8.755
+
+! Reaction index: Chemkin #23; RMG #129
+! Template reaction: H_Abstraction
+! Flux pairs: C2H6(8), C2H5(13); H(12), H2(6);
+! Matched reaction 210 C2H6 + H <=> C2H5b + H2_p in H_Abstraction/training
+! This reaction matched rate rule [H2;C_rad/H2/Cs\H3]
+! family: H_Abstraction
+H(12)+C2H6(8)<=>H2(6)+C2H5(13) 1.150000e+08 1.900 7.530
+
+! Reaction index: Chemkin #24; RMG #131
+! Template reaction: H_Abstraction
+! Flux pairs: HCO(15), CH2O(9); H2(6), H(12);
+! Matched reaction 309 H2 + HCO_r3 <=> CH2O + H in H_Abstraction/training
+! This reaction matched rate rule [H2;CO_pri_rad]
+! family: H_Abstraction
+H2(6)+HCO(15)<=>H(12)+CH2O(9) 1.800000e+06 2.000 48.940
+
+! Reaction index: Chemkin #25; RMG #134
+! Template reaction: Disproportionation
+! Flux pairs: H(12), H2(6); C2H5(13), C2H4(18);
+! Matched reaction 4 H + C2H5 <=> H2 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_4R->H_Sp-2R!H-1R!H_2R!H-u1_N-1R!H->O_1CN->C_2R!H->C]
+! family: Disproportionation
+H(12)+C2H5(13)<=>H2(6)+C2H4(18) 1.083000e+13 0.000 0.000
+
+! Reaction index: Chemkin #26; RMG #135
+! Template reaction: H_Abstraction
+! Flux pairs: CH3CH(19), C2H5(13); H2(6), H(12);
+! Estimated using an average for rate rule [H2;Y_1centerbirad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+H2(6)+CH3CH(19)<=>H(12)+C2H5(13) 2.317758e+11 0.750 21.325
+
+! Reaction index: Chemkin #27; RMG #186
+! Template reaction: CO_Disproportionation
+! Flux pairs: CH3(10), CH4(2); HCO(15), CO(7);
+! Matched reaction 3 HCO + CH3 <=> CO + CH4 in CO_Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_4CO->C]
+! family: CO_Disproportionation
+HCO(15)+CH3(10)<=>CO(7)+CH4(2) 4.000000e+13 0.000 0.000
+
+! Reaction index: Chemkin #28; RMG #189
+! Template reaction: H_Abstraction
+! Flux pairs: C2H6(8), C2H5(13); CH3(10), CH4(2);
+! Matched reaction 215 C2H6 + CH3_r3 <=> C2H5b + CH4 in H_Abstraction/training
+! This reaction matched rate rule [C_methane;C_rad/H2/Cs\H3]
+! family: H_Abstraction
+CH3(10)+C2H6(8)<=>CH4(2)+C2H5(13) 3.500000e+01 3.440 10.384
+
+! Reaction index: Chemkin #29; RMG #191
+! Template reaction: H_Abstraction
+! Flux pairs: HCO(15), CH2O(9); CH4(2), CH3(10);
+! Matched reaction 318 HCO_r3 + CH4b <=> CH2O + CH3_p1 in H_Abstraction/training
+! This reaction matched rate rule [C_methane;CO_pri_rad]
+! family: H_Abstraction
+HCO(15)+CH4(2)<=>CH2O(9)+CH3(10) 7.280000e+03 2.850 34.250
+
+! Reaction index: Chemkin #30; RMG #194
+! Template reaction: H_Abstraction
+! Flux pairs: OH(17), H2O(5); CH4(2), CH3(10);
+! Matched reaction 188 CH4b + OH <=> CH3_p1 + H2O_p in H_Abstraction/training
+! This reaction matched rate rule [C_methane;O_pri_rad]
+! family: H_Abstraction
+OH(17)+CH4(2)<=>H2O(5)+CH3(10) 1.000000e+06 2.182 2.506
+
+! Reaction index: Chemkin #31; RMG #195
+! Template reaction: Disproportionation
+! Flux pairs: CH3(10), CH4(2); C2H5(13), C2H4(18);
+! Matched reaction 5 CH3_r1 + C2H5 <=> CH4 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_Sp-2R!H-1C_2R!H->C]
+! family: Disproportionation
+CH3(10)+C2H5(13)<=>CH4(2)+C2H4(18) 6.570000e+14 -0.680 0.000
+
+! Reaction index: Chemkin #32; RMG #196
+! Template reaction: H_Abstraction
+! Flux pairs: CH3CH(19), C2H5(13); CH4(2), CH3(10);
+! Estimated using an average for rate rule [C_methane;Y_1centerbirad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: H_Abstraction
+CH4(2)+CH3CH(19)<=>CH3(10)+C2H5(13) 2.006512e+11 0.833 15.521
+
+! Reaction index: Chemkin #33; RMG #251
+! Template reaction: CO_Disproportionation
+! Flux pairs: OH(17), H2O(5); HCO(15), CO(7);
+! Estimated from node Root_N-4R->N_N-4BrCClFHIOPSSi->H_N-4CO->C in family CO_Disproportionation.
+OH(17)+HCO(15)<=>H2O(5)+CO(7) 3.010000e+13 0.000 0.000
+
+! Reaction index: Chemkin #34; RMG #254
+! Template reaction: H_Abstraction
+! Flux pairs: C2H6(8), C2H5(13); OH(17), H2O(5);
+! Matched reaction 212 C2H6 + OH <=> C2H5b + H2O_p in H_Abstraction/training
+! This reaction matched rate rule [O_pri;C_rad/H2/Cs\H3]
+! family: H_Abstraction
+OH(17)+C2H6(8)<=>H2O(5)+C2H5(13) 1.610000e+06 2.224 0.741
+
+! Reaction index: Chemkin #35; RMG #256
+! Template reaction: H_Abstraction
+! Flux pairs: CH2O(9), HCO(15); OH(17), H2O(5);
+! Matched reaction 367 OH_p23 + CH2O <=> H2O + HCO_r3 in H_Abstraction/training
+! This reaction matched rate rule [O_pri;CO_pri_rad]
+! family: H_Abstraction
+OH(17)+CH2O(9)<=>H2O(5)+HCO(15) 3.440000e+09 1.180 -0.450
+
+! Reaction index: Chemkin #36; RMG #260
+! Template reaction: Disproportionation
+! Flux pairs: OH(17), H2O(5); C2H5(13), C2H4(18);
+! Matched reaction 13 HO + C2H5 <=> H2O + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_4CNOS->O_Sp-2R!H-1CNS_1CNS->C_2R!H->C]
+! family: Disproportionation
+OH(17)+C2H5(13)<=>H2O(5)+C2H4(18) 7.230000e+13 0.000 0.000
+
+! Reaction index: Chemkin #37; RMG #261
+! Template reaction: H_Abstraction
+! Flux pairs: C2H5(13), CH3CH(19); OH(17), H2O(5);
+! Estimated using template [Xrad_H;O_pri_rad] for rate rule [C_rad_H;O_pri_rad]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+OH(17)+C2H5(13)<=>H2O(5)+CH3CH(19) 6.000000e+13 0.000 0.000
+
+! Reaction index: Chemkin #38; RMG #316
+! Template reaction: CO_Disproportionation
+! Flux pairs: C2H5(13), C2H6(8); HCO(15), CO(7);
+! Matched reaction 12 C2H5 + HCO <=> C2H6 + CO in CO_Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_5R!H->C_Sp-5C-4CO_4CO->C]
+! family: CO_Disproportionation
+HCO(15)+C2H5(13)<=>CO(7)+C2H6(8) 4.300000e+13 0.000 0.000
+
+! Reaction index: Chemkin #39; RMG #318
+! Template reaction: CO_Disproportionation
+! Flux pairs: HCO(15), CH2O(9); HCO(15), CO(7);
+! Matched reaction 5 HCO + HCO_Y <=> CO + CH2O in CO_Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_N-5R!H->C_5BrClFINOPSSi->O_4CO->C_N-Sp-5O-4C]
+! family: CO_Disproportionation
+HCO(15)+HCO(15)<=>CO(7)+CH2O(9) 1.800000e+13 0.000 0.000
+
+! Reaction index: Chemkin #40; RMG #322
+! Template reaction: CO_Disproportionation
+! Flux pairs: CH3CH(19), C2H5(13); HCO(15), CO(7);
+! Estimated from node Root_N-4R->N_N-4BrCClFHIOPSSi->H_Ext-4CO-R_5R!H->C_Sp-5C-4CO_4CO->C in family CO_Disproportionation.
+HCO(15)+CH3CH(19)<=>CO(7)+C2H5(13) 4.309140e+13 -0.000 0.000
+
+! Reaction index: Chemkin #41; RMG #357
+! Template reaction: H_Abstraction
+! Flux pairs: HCO(15), CH2O(9); C2H6(8), C2H5(13);
+! Matched reaction 325 HCO_r3 + C2H6 <=> CH2O + C2H5 in H_Abstraction/training
+! This reaction matched rate rule [C/H3/Cs\H3;CO_pri_rad]
+! family: H_Abstraction
+HCO(15)+C2H6(8)<=>CH2O(9)+C2H5(13) 4.692000e+04 2.720 38.240
+
+! Reaction index: Chemkin #42; RMG #360
+! Template reaction: Disproportionation
+! Flux pairs: C2H5(13), C2H6(8); C2H5(13), C2H4(18);
+! Matched reaction 6 C2H5 + C2H5-2 <=> C2H6 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C]
+! family: Disproportionation
+C2H5(13)+C2H5(13)<=>C2H4(18)+C2H6(8) 6.900000e+13 -0.350 0.000
+
+! Reaction index: Chemkin #43; RMG #361
+! Template reaction: H_Abstraction
+! Flux pairs: CH3CH(19), C2H5(13); C2H6(8), C2H5(13);
+! Estimated using an average for rate rule [C/H3/Cs\H3;Y_1centerbirad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 6.0
+! family: H_Abstraction
+CH3CH(19)+C2H6(8)<=>C2H5(13)+C2H5(13) 1.157245e+11 0.933 12.427
+
+! Reaction index: Chemkin #44; RMG #397
+! Template reaction: Disproportionation
+! Flux pairs: HCO(15), C2H4(18); C2H5(13), CH2O(9);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_5R!H->O_1CNS->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+HCO(15)+C2H5(13)<=>CH2O(9)+C2H4(18) 8.670000e+12 0.000 0.000
+
+! Reaction index: Chemkin #45; RMG #404
+! Template reaction: H_Abstraction
+! Flux pairs: CH3CH(19), C2H5(13); CH2O(9), HCO(15);
+! Estimated using an average for rate rule [CO_pri;Y_1centerbirad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+CH2O(9)+CH3CH(19)<=>HCO(15)+C2H5(13) 5.012624e+10 0.285 1.380
+
+! Reaction index: Chemkin #46; RMG #456
+! Template reaction: Disproportionation
+! Flux pairs: C2H5(13), C2H5(13); CH3CH(19), C2H4(18);
+! Estimated from node Root_N-4R->H_N-4CNOS-u1_N-1R!H->O_Sp-2R!H-1CNS_1CNS->C_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+CH3CH(19)+C2H5(13)<=>C2H4(18)+C2H5(13) 9.030000e+13 0.000 0.000
+
+END
+
diff --git a/ipython/data/cpox_methane/chem_annotated-surface.inp b/ipython/data/cpox_methane/chem_annotated-surface.inp
new file mode 100644
index 00000000000..aca9dd38812
--- /dev/null
+++ b/ipython/data/cpox_methane/chem_annotated-surface.inp
@@ -0,0 +1,2523 @@
+SITE/SURF0/ SDEN/2.4830E-09/ ! mol/cm^2
+ X(1) ! X(1)
+ HX(21) ! HX(21)
+ CO2X(22) ! CO2X(22)
+ COX(23) ! COX(23)
+ OX(24) ! OX(24)
+ CH2X(25) ! CH2X(25)
+ CH3X(26) ! CH3X(26)
+ CHX(27) ! CHX(27)
+ CX(28) ! CX(28)
+ H2X(29) ! H2X(29)
+ OHX(30) ! OHX(30)
+ H2OX(31) ! H2OX(31)
+ CHOX(32) ! CHOX(32)
+ XCH2CH3(54) ! XCH2CH3(54)
+ XCHCH3(64) ! XCHCH3(64)
+ XCH2XCH2(66)/2/ ! XCH2XCH2(66)
+ XCHCH2(67) ! XCHCH2(67)
+ CH2CH2X(68) ! CH2CH2X(68)
+ XCHXO(70)/2/ ! XCHXO(70)
+ XCOH(80) ! XCOH(80)
+ XCHOH(81) ! XCHOH(81)
+ XCCH3(96) ! XCCH3(96)
+ XCXCO(105)/2/ ! XCXCO(105)
+ XCCO(106) ! XCCO(106)
+ XCHCO(111) ! XCHCO(111)
+ XCXCH2(118)/2/ ! XCXCH2(118)
+ XCCH2(119) ! XCCH2(119)
+ XCH2XCH(122)/2/ ! XCH2XCH(122)
+ XCHXCH(123)/2/ ! XCHXCH(123)
+ CHCHX(176) ! CHCHX(176)
+END
+
+
+
+THERM ALL
+ 300.000 1000.000 5000.000
+
+! Thermo library: surfaceThermoPt111
+X(1) X 1 G 298.000 3000.000 1000.00 1
+ 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+ 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 4
+
+! Thermo library: surfaceThermoPt111
+HX(21) H 1X 1 G 298.000 2000.000 1000.00 1
+ 2.72247960E+00-1.06816957E-03 1.98653534E-06-1.12048346E-09 2.09811447E-13 2
+-5.33834283E+03-1.53207364E+01-2.07570352E+00 1.73580907E-02-2.60920836E-05 3
+ 1.89282272E-08-5.38835749E-12-4.28629410E+03 8.15362620E+00 4
+
+! Thermo library: surfaceThermoPt111
+CO2X(22) C 1O 2X 1 G 298.000 2000.000 1000.00 1
+ 6.98298185E+00-3.09871211E-03 5.62882671E-06-3.07847266E-09 5.62448785E-13 2
+-5.01432130E+04-2.76520082E+01 2.00959624E+00 1.33597621E-02-1.62303952E-05 3
+ 1.10029588E-08-3.14484938E-12-4.88915555E+04-2.59292675E+00 4
+
+! Thermo library: surfaceThermoPt111
+COX(23) C 1O 1X 1 G 298.000 2000.000 1000.00 1
+ 5.48655965E+00-1.68118060E-03 3.09029814E-06-1.71186421E-09 3.15864230E-13 2
+-3.02504824E+04-2.76788160E+01 1.42894816E+00 1.40374567E-02-2.21178962E-05 3
+ 1.78659585E-08-5.71478989E-12-2.93377830E+04-7.78264626E+00 4
+
+! Thermo library: surfaceThermoPt111
+OX(24) O 1X 1 G 298.000 2000.000 1000.00 1
+ 2.90244107E+00-3.38576310E-04 6.43364262E-07-3.66322914E-10 6.90087688E-14 2
+-1.36543831E+04-1.52559382E+01-2.94477587E-01 1.44162684E-02-2.61322747E-05 3
+ 2.19005961E-08-6.98019726E-12-1.30665623E+04-1.99436466E-01 4
+
+! Thermo library: surfaceThermoPt111
+CH2X(25) C 1H 2X 1 G 298.000 2000.000 1000.00 1
+ 6.83459305E+00-5.14925435E-03 9.15490095E-06-4.84916961E-09 8.63765861E-13 2
+-2.66347873E+03-3.62214989E+01-2.23007140E+00 2.92223049E-02-4.33155010E-05 3
+ 3.31428200E-08-9.96471660E-12-6.26760839E+02 8.30175061E+00 4
+
+! Thermo library: surfaceThermoPt111
+CH3X(26) C 1H 3X 1 G 298.000 2000.000 1000.00 1
+ 8.65704488E+00-7.90307727E-03 1.40100433E-05-7.40016052E-09 1.31516588E-12 2
+-1.01605953E+04-4.43352536E+01-4.44574492E-02 1.94367746E-02-1.91028792E-05 3
+ 1.11269376E-08-2.73735931E-12-7.91264761E+03-1.73363631E-01 4
+
+! Thermo library: surfaceThermoPt111
+CHX(27) C 1H 1X 1 G 298.000 2000.000 1000.00 1
+ 4.90429627E+00-2.63864718E-03 4.71728940E-06-2.51266853E-09 4.49659036E-13 2
+-3.74880735E+03-2.67107807E+01-2.66805407E+00 2.90693605E-02-4.82653639E-05 3
+ 3.87589263E-08-1.19749398E-11-2.20255536E+03 9.72943273E+00 4
+
+! Thermo library: surfaceThermoPt111
+CX(28) C 1X 1 G 298.000 2000.000 1000.00 1
+ 2.81347906E+00-6.93962433E-04 1.30309030E-06-7.38705282E-10 1.38796644E-13 2
+ 7.89572752E+03-1.55738741E+01-1.94351174E+00 1.97767481E-02-3.36336700E-05 3
+ 2.69027206E-08-8.27958862E-12 8.83627043E+03 7.17471163E+00 4
+
+! Thermo library: surfaceThermoPt111
+H2X(29) H 2X 1 G 298.000 2000.000 1000.00 1
+ 4.06879706E+00-4.95807479E-04 6.59235100E-07-1.72598058E-10 7.62971064E-15 2
+-3.94091046E+03-9.71918064E+00 3.86406403E+00 7.53456762E-04-1.65571464E-06 3
+ 1.55223218E-09-4.46781999E-13-3.92948485E+03-8.85806484E+00 4
+
+! Thermo library: surfaceThermoPt111
+OHX(30) H 1O 1X 1 G 298.000 2000.000 1000.00 1
+ 3.95939930E+00-1.65986776E-03 2.83126639E-06-1.40393699E-09 2.37010707E-13 2
+-1.88321114E+04-1.36888724E+01 6.89851980E-01 1.15607233E-02-1.81720747E-05 3
+ 1.40194900E-08-4.13411896E-12-1.81533768E+04 2.12907995E+00 4
+
+! Thermo library: surfaceThermoPt111
+H2OX(31) H 2O 1X 1 G 298.000 2000.000 1000.00 1
+ 5.85496927E+00-3.28848314E-03 5.56991427E-06-2.73008501E-09 4.55898715E-13 2
+-3.21494868E+04-2.13518731E+01 2.72971274E+00 8.71052014E-03-1.29131852E-05 3
+ 1.07295002E-08-3.39433374E-12-3.14575485E+04-6.04478964E+00 4
+
+! Thermo library: surfaceThermoPt111
+CHOX(32) C 1H 1O 1X 1G 298.000 2000.000 1000.00 1
+ 7.47249774E+00-4.25651788E-03 7.67239688E-06-4.15094029E-09 7.52056996E-13 2
+-2.54909110E+04-3.52777249E+01 1.33924811E+00 1.56187944E-02-1.78706100E-05 3
+ 1.16103371E-08-3.20827612E-12-2.39292346E+04-4.27822204E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCH2CH3(54) C 2H 5X 1 G 298.000 2000.000 1000.00 1
+ 1.50607594E+01-1.48576179E-02 2.64630594E-05-1.40881050E-08 2.51997765E-12 2
+-1.68078880E+04-7.82120078E+01 1.18931248E-01 2.54181066E-02-9.60813724E-06 3
+-4.29518492E-09 3.46435785E-12-1.26172959E+04-7.38043167E-01 4
+
+! Thermo library: surfaceThermoPt111
+XCHCH3(64) C 2H 4X 1 G 298.000 2000.000 1000.00 1
+ 1.32389476E+01-1.20662435E-02 2.15309277E-05-1.14893088E-08 2.05901969E-12 2
+-1.02396069E+04-7.02795488E+01-1.02965056E+00 3.05643884E-02-2.57333995E-05 3
+ 1.12938146E-08-1.82181022E-12-6.45116380E+03 2.66180041E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCH2XCH2(66) C 2H 4X 2 G 298.000 2000.000 1000.00 1
+ 1.32290080E+01-1.18706777E-02 2.11521841E-05-1.12641704E-08 2.01567079E-12 2
+-1.34206522E+04-7.01190966E+01-2.67192838E+00 3.80645354E-02-3.82436403E-05 3
+ 2.04023331E-08-4.28928498E-12-9.34434900E+03 1.05041174E+01 4
+
+! Thermo library: surfaceThermoPt111
+XCHCH2(67) C 2H 3X 1 G 298.000 2000.000 1000.00 1
+ 1.13486303E+01-8.90556126E-03 1.58461703E-05-8.41756582E-09 1.50324480E-12 2
+-7.27897213E+01-5.79325824E+01-3.08863011E-01 2.83917093E-02-3.01517639E-05 3
+ 1.77197663E-08-4.27593032E-12 2.89021507E+03 1.02857491E+00 4
+
+! Thermo library: surfaceThermoPt111
+CH2CH2X(68) C 2H 4X 1 G 298.000 2000.000 1000.00 1
+ 1.21842218E+01-1.15021169E-02 2.03950367E-05-1.07880351E-08 1.91997735E-12 2
+-4.38056356E+03-5.56581039E+01 1.30720366E+00 1.65960850E-02-1.65594391E-06 3
+-8.53643523E-09 4.49817426E-12-1.28085886E+03 1.00988157E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCHXO(70) C 1H 1O 1X 2G 298.000 2000.000 1000.00 1
+ 7.63455293E+00-3.73565753E-03 6.72664791E-06-3.63437587E-09 6.57956543E-13 2
+-2.20908199E+04-3.67791152E+01 8.73094515E-01 1.93259165E-02-2.43372881E-05 3
+ 1.61326695E-08-4.34526852E-12-2.04466195E+04-2.94043006E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCOH(80) C 1H 1O 1X 1G 298.000 2000.000 1000.00 1
+ 7.57277695E+00-3.16578459E-03 5.61811927E-06-2.96831941E-09 5.28683983E-13 2
+-2.80009212E+04-3.88297161E+01 2.81389530E-01 2.36061086E-02-3.32958999E-05 3
+ 2.35937587E-08-6.59988062E-12-2.63389472E+04-2.84936464E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCHOH(81) C 1H 2O 1X 1G 298.000 2000.000 1000.00 1
+ 8.40355861E+00-6.56451865E-03 1.17183675E-05-6.25847190E-09 1.12274948E-12 2
+-2.56433538E+04-3.79681005E+01-5.00708880E-01 2.03875211E-02-1.83412432E-05 3
+ 8.05213096E-09-1.17601493E-12-2.33131337E+04 7.42265604E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCCH3(96) C 2H 3X 1 G 298.000 2000.000 1000.00 1
+ 1.13071046E+01-9.36625341E-03 1.67150071E-05-8.92182977E-09 1.59934040E-12 2
+-1.39652458E+04-5.79411715E+01 4.57234129E-01 2.22262410E-02-1.66721437E-05 3
+ 5.72136061E-09-3.99323091E-13-1.10436372E+04-2.27323815E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCXCO(105) C 2O 1X 2 G 298.000 2000.000 1000.00 1
+ 8.17818492E+00-2.74873032E-03 5.05297612E-06-2.80344988E-09 5.18026205E-13 2
+-1.39471063E+04-4.05107308E+01 8.97579990E-01 2.46743251E-02-3.70136273E-05 3
+ 2.82073324E-08-8.56860314E-12-1.22911976E+04-4.67311751E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCCO(106) C 2O 1X 1 G 298.000 2000.000 1000.00 1
+ 8.07082355E+00-3.00852262E-03 5.51540020E-06-3.04805867E-09 5.61469536E-13 2
+-1.47647441E+04-4.08626151E+01 4.82293028E-01 2.58715712E-02-3.93603948E-05 3
+ 3.04629752E-08-9.36533266E-12-1.30500602E+04-3.57374374E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCHCO(111) C 2H 1O 1X 1G 298.000 2000.000 1000.00 1
+ 9.11773351E+00-5.00205029E-03 8.99634100E-06-4.84654156E-09 8.75266156E-13 2
+-1.22073761E+04-4.09366092E+01 4.25493544E-02 2.79328238E-02-3.94277514E-05 3
+ 2.93799163E-08-8.78678926E-12-1.00824682E+04 4.03640870E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCXCH2(118) C 2H 2X 2 G 298.000 2000.000 1000.00 1
+ 9.43020620E+00-6.45954121E-03 1.15448642E-05-6.16904076E-09 1.10713347E-12 2
+-3.66518703E+03-5.01224037E+01-1.79816112E+00 3.26996512E-02-4.25662671E-05 3
+ 2.91542684E-08-8.03586947E-12-9.81598852E+02 5.84809747E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCCH2(119) C 2H 2X 1 G 298.000 2000.000 1000.00 1
+ 9.50738620E+00-5.96521486E-03 1.06150130E-05-5.63034335E-09 1.00413638E-12 2
+ 1.18564295E+04-4.81889471E+01 3.53716832E-01 2.73804972E-02-3.86126354E-05 3
+ 2.92701458E-08-8.86074702E-12 1.39943134E+04-2.85680258E+00 4
+
+! Thermo library: surfaceThermoPt111
+XCH2XCH(122) C 2H 3X 2 G 298.000 2000.000 1000.00 1
+ 1.14364322E+01-9.00409359E-03 1.60927793E-05-8.59946784E-09 1.54310878E-12 2
+-6.17387487E+03-6.22564594E+01-4.49842378E+00 4.74505594E-02-6.33178514E-05 3
+ 4.41445523E-08-1.23100777E-11-2.41150295E+03 1.69502447E+01 4
+
+! Thermo library: surfaceThermoPt111
+XCHXCH(123) C 2H 2X 2 G 298.000 2000.000 1000.00 1
+ 9.50734251E+00-6.29447123E-03 1.12600099E-05-6.02345902E-09 1.08201061E-12 2
+-1.03888642E+03-5.12967728E+01-3.12099318E+00 3.94849238E-02-5.46713898E-05 3
+ 3.87299963E-08-1.08911043E-11 1.88314416E+03 1.11984448E+01 4
+
+! Thermo library: surfaceThermoPt111
+CHCHX(176) C 2H 2X 1 G 298.000 2000.000 1000.00 1
+ 8.53228527E+00-4.93781311E-03 8.64081803E-06-4.46203770E-09 7.78651926E-13 2
+ 2.02566911E+04-3.66656834E+01 4.72391006E-01 2.77615181E-02-4.48825413E-05 3
+ 3.68137783E-08-1.16132417E-11 2.19674643E+04 2.41181029E+00 4
+
+END
+
+
+
+REACTIONS KCAL/MOLE MOLES
+
+! Reaction index: Chemkin #1; RMG #1
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: H2(6), HX(21); X(1), HX(21); X(1), HX(21);
+X(1)+X(1)+H2(6)<=>HX(21)+HX(21) 4.600e-02 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #2; RMG #2
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: O2(3), OX(24); X(1), OX(24); X(1), OX(24);
+X(1)+X(1)+O2(3)<=>OX(24)+OX(24) 1.890000e+21 -0.500 0.000
+
+! Reaction index: Chemkin #3; RMG #3
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CH4(2), CH3X(26); X(1), OHX(30); OX(24), OHX(30);
+X(1)+OX(24)+CH4(2)<=>OHX(30)+CH3X(26) 5.000000e+18 0.700 10.038
+
+! Reaction index: Chemkin #4; RMG #4
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CH4(2), CH3X(26); X(1), H2OX(31); OHX(30), H2OX(31);
+X(1)+OHX(30)+CH4(2)<=>H2OX(31)+CH3X(26) 1.000e+00 0.000 2.390
+ STICK
+
+! Reaction index: Chemkin #5; RMG #5
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: X(1), H2OX(31); H2O(5), H2OX(31);
+X(1)+H2O(5)<=>H2OX(31) 7.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #6; RMG #6
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: X(1), CO2X(22); CO2(4), CO2X(22);
+X(1)+CO2(4)<=>CO2X(22) 5.000e-03 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #7; RMG #7
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: COX(23), X(1); COX(23), CO(7);
+COX(23)<=>X(1)+CO(7) 1.000000e+11 0.000 40.511
+
+! Reaction index: Chemkin #8; RMG #8
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: COX(23), CX(28); X(1), OX(24);
+X(1)+COX(23)<=>OX(24)+CX(28) 3.700000e+19 0.000 56.525
+
+! Reaction index: Chemkin #9; RMG #9
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: COX(23), CO2X(22); OX(24), X(1);
+OX(24)+COX(23)<=>X(1)+CO2X(22) 3.700000e+21 0.000 28.107
+
+! Reaction index: Chemkin #10; RMG #10
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: COX(23), CO2X(22); OHX(30), HX(21);
+OHX(30)+COX(23)<=>HX(21)+CO2X(22) 1.000000e+19 0.000 9.250
+
+! Reaction index: Chemkin #11; RMG #11
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CH2X(25), CH3X(26); HX(21), X(1);
+HX(21)+CH2X(25)<=>X(1)+CH3X(26) 3.090000e+22 0.000 0.000
+
+! Reaction index: Chemkin #12; RMG #12
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CH2X(25), CHX(27); X(1), HX(21);
+X(1)+CH2X(25)<=>HX(21)+CHX(27) 7.310000e+22 0.000 14.077
+
+! Reaction index: Chemkin #13; RMG #13
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CHX(27), CX(28); X(1), HX(21);
+X(1)+CHX(27)<=>HX(21)+CX(28) 3.090000e+22 0.000 12.357
+
+! Reaction index: Chemkin #14; RMG #14
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: OHX(30), OX(24); X(1), HX(21);
+X(1)+OHX(30)<=>OX(24)+HX(21) 7.390000e+19 0.000 18.475
+
+! Reaction index: Chemkin #15; RMG #15
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: H2OX(31), OHX(30); X(1), HX(21);
+X(1)+H2OX(31)<=>HX(21)+OHX(30) 1.150000e+19 0.000 24.235
+
+! Reaction index: Chemkin #16; RMG #16
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: H2OX(31), OHX(30); OX(24), OHX(30);
+OX(24)+H2OX(31)<=>OHX(30)+OHX(30) 1.000000e+20 0.000 21.630
+
+! Reaction index: Chemkin #17; RMG #17
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: H2(6), CH2X(25); CX(28), CH2X(25);
+H2(6)+CX(28)<=>CH2X(25) 4.000e-02 0.000 7.098
+ STICK
+
+! Reaction index: Chemkin #18; RMG #18
+! Library reaction: Surface/CPOX_Pt/Deutschmann2006_adjusted
+! Flux pairs: CH3X(26), CH4(2); HX(21), X(1); HX(21), X(1);
+HX(21)+CH3X(26)<=>X(1)+X(1)+CH4(2) 3.300000e+21 0.000 11.950
+
+! Reaction index: Chemkin #19; RMG #49
+! Template reaction: Surface_Adsorption_Single
+! Flux pairs: H(12), HX(21); X(1), HX(21);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [H;VacantSite]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Single
+X(1)+H(12)<=>HX(21) 8.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #20; RMG #52
+! Template reaction: Surface_Adsorption_Single
+! Flux pairs: OH(17), OHX(30); X(1), OHX(30);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [O-H;VacantSite]
+! Euclidian distance = 2.0
+! family: Surface_Adsorption_Single
+X(1)+OH(17)<=>OHX(30) 8.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #21; RMG #53
+! Template reaction: Surface_Adsorption_Single
+! Flux pairs: CH3(10), CH3X(26); X(1), CH3X(26);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [CH2-H;VacantSite]
+! Euclidian distance = 2.0
+! family: Surface_Adsorption_Single
+X(1)+CH3(10)<=>CH3X(26) 8.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #22; RMG #87
+! Template reaction: Surface_Adsorption_vdW
+! Flux pairs: H2(6), H2X(29); X(1), H2X(29);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [H2;VacantSite]
+! Euclidian distance = 2.0
+! family: Surface_Adsorption_vdW
+X(1)+H2(6)<=>H2X(29) 8.000e-03 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #23; RMG #88
+! Template reaction: Surface_Adsorption_Single
+! Flux pairs: HCO(15), CHOX(32); X(1), CHOX(32);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [CH=O;VacantSite]
+! Euclidian distance = 2.0
+! family: Surface_Adsorption_Single
+X(1)+HCO(15)<=>CHOX(32) 8.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #24; RMG #90
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: H2O(5), OHX(30); X(1), HX(21); X(1), HX(21);
+! Estimated using template [O-H;VacantSite1;VacantSite2] for rate rule [H2O;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+H2O(5)<=>HX(21)+OHX(30) 2.000e-01 0.000 35.642
+ STICK
+
+! Reaction index: Chemkin #25; RMG #92
+! Template reaction: Surface_Adsorption_Dissociative_Double
+! Flux pairs: CO2(4), COX(23); X(1), OX(24); X(1), OX(24);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [CO2;VacantSite1;VacantSite2]
+! Euclidian distance = 2.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Adsorption_Dissociative_Double
+! Ea raised from 50.8 to 51.6 kJ/mol to match endothermicity of reaction.
+X(1)+X(1)+CO2(4)<=>OX(24)+COX(23) 2.000e-02 0.000 12.324
+ STICK
+
+! Reaction index: Chemkin #26; RMG #95
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: C2H6(8), CH3X(26); X(1), CH3X(26); X(1), CH3X(26);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+C2H6(8)<=>CH3X(26)+CH3X(26) 1.500e-02 0.000 1.195
+ STICK
+
+! Reaction index: Chemkin #27; RMG #99
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: CH2O(9), CHOX(32); X(1), HX(21); X(1), HX(21);
+! Exact match found for rate rule [C-H;VacantSite1;VacantSite2]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+CH2O(9)<=>HX(21)+CHOX(32) 2.000e-01 0.000 6.499
+ STICK
+
+! Reaction index: Chemkin #28; RMG #100
+! Template reaction: Surface_Adsorption_Dissociative_Double
+! Flux pairs: CH2O(9), CH2X(25); X(1), OX(24); X(1), OX(24);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [OC;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Dissociative_Double
+X(1)+X(1)+CH2O(9)<=>OX(24)+CH2X(25) 1.000e-02 0.000 10.000
+ STICK
+
+! Reaction index: Chemkin #29; RMG #104
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: CH3OH(14), CH3X(26); X(1), OHX(30); X(1), OHX(30);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [O-C;VacantSite1;VacantSite2]
+! Euclidian distance = 2.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+CH3OH(14)<=>OHX(30)+CH3X(26) 1.500e-02 0.000 1.195
+ STICK
+
+! Reaction index: Chemkin #30; RMG #109
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: CH3CHO(16), CHOX(32); X(1), CH3X(26); X(1), CH3X(26);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+CH3CHO(16)<=>CHOX(32)+CH3X(26) 1.500e-02 0.000 1.195
+ STICK
+
+! Reaction index: Chemkin #31; RMG #116
+! Template reaction: Surface_Adsorption_Dissociative_Double
+! Flux pairs: C2H4(18), CH2X(25); X(1), CH2X(25); X(1), CH2X(25);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [CC;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Dissociative_Double
+X(1)+X(1)+C2H4(18)<=>CH2X(25)+CH2X(25) 1.000e-02 0.000 10.000
+ STICK
+
+! Reaction index: Chemkin #32; RMG #119
+! Template reaction: Surface_Dissociation
+! Flux pairs: COX(23), CHOX(32); HX(21), CHOX(32);
+! Matched reaction 26 OCX_3 + HX_5 <=> CXHO_1 + Ni_4 in Surface_Dissociation/training
+! This reaction matched rate rule [C-H;VacantSite]
+! family: Surface_Dissociation
+! metal: None
+HX(21)+COX(23)<=>X(1)+CHOX(32) 3.140000e+21 0.000 22.830
+
+! Reaction index: Chemkin #33; RMG #120
+! Template reaction: Surface_Dissociation_Double
+! Flux pairs: CHOX(32), CHX(27); CHOX(32), OX(24);
+! Exact match found for rate rule [C=O;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Double
+X(1)+CHOX(32)<=>OX(24)+CHX(27) 4.180000e+21 0.000 46.687
+
+! Reaction index: Chemkin #34; RMG #137
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: OX(24), OHX(30); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=O] for rate rule [H-H;*=O]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+OX(24)+H2X(29)<=>HX(21)+OHX(30) 4.782614e+24 -0.188 37.177
+
+! Reaction index: Chemkin #35; RMG #138
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2X(25), CH3X(26); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+CH2X(25)<=>HX(21)+CH3X(26) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #36; RMG #143
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CHX(27), CH2X(25); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#CH]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+CHX(27)<=>HX(21)+CH2X(25) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #37; RMG #144
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CX(28), CHX(27); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*$C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+CX(28)<=>HX(21)+CHX(27) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #38; RMG #145
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: COX(23), CHOX(32); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+COX(23)<=>HX(21)+CHOX(32) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #39; RMG #170
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); OHX(30), OX(24);
+! Matched reaction 24 CH2X_1 + HOX_3 <=> CH3X_4 + OX_5 in Surface_Abstraction/training
+! This reaction matched rate rule [O;*-CH2-H]
+! family: Surface_Abstraction
+! metal: None
+OHX(30)+CH2X(25)<=>OX(24)+CH3X(26) 1.390000e+21 0.101 4.541
+
+! Reaction index: Chemkin #40; RMG #175
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHX(27), CH2X(25); OHX(30), OX(24);
+! Matched reaction 26 CHX_1 + HOX_3 <=> CH2X_4 + OX_5 in Surface_Abstraction/training
+! This reaction matched rate rule [O;*=CH-H]
+! family: Surface_Abstraction
+! metal: None
+! Ea raised from 42.4 to 55.0 kJ/mol to match endothermicity of reaction.
+OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 4.400000e+22 0.101 13.148
+
+! Reaction index: Chemkin #41; RMG #178
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), CHX(27); OHX(30), OX(24);
+! Matched reaction 28 CX_1 + HOX_3 <=> CHX_4 + OX_5 in Surface_Abstraction/training
+! This reaction matched rate rule [O;*#C-H]
+! family: Surface_Abstraction
+! metal: None
+OHX(30)+CX(28)<=>OX(24)+CHX(27) 2.430000e+21 -0.312 28.418
+
+! Reaction index: Chemkin #42; RMG #180
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); OX(24), OHX(30);
+! Matched reaction 39 OX_1 + HCOX_3 <=> HOX_4 + COX_5 in Surface_Abstraction/training
+! This reaction matched rate rule [O;*-C-H]
+! family: Surface_Abstraction
+! metal: None
+OX(24)+CHOX(32)<=>OHX(30)+COX(23) 3.298000e+21 0.000 0.000
+
+! Reaction index: Chemkin #43; RMG #199
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2X(25), CH3X(26); H2OX(31), OHX(30);
+! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+CH2X(25)<=>OHX(30)+CH3X(26) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #44; RMG #208
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CHX(27), CH2X(25); H2OX(31), OHX(30);
+! Estimated using template [O-R;*C] for rate rule [O-R;*#CH]
+! Euclidian distance = 2.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+! Ea raised from 120.8 to 122.6 kJ/mol to match endothermicity of reaction.
+H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 1.534107e+22 -0.150 29.304
+
+! Reaction index: Chemkin #45; RMG #210
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CX(28), CHX(27); H2OX(31), OHX(30);
+! Estimated using template [O-R;*C] for rate rule [O-R;*$C]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+CX(28)<=>OHX(30)+CHX(27) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #46; RMG #213
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CHOX(32), COX(23); OHX(30), H2OX(31);
+! Matched reaction 40 OH_2* + HCO* <=> H2O* + CO* in Surface_Abstraction_vdW/training
+! This reaction matched rate rule [O-R;*=C=R]
+! family: Surface_Abstraction_vdW
+! metal: None
+OHX(30)+CHOX(32)<=>H2OX(31)+COX(23) 3.261000e+21 0.000 6.918
+
+! Reaction index: Chemkin #47; RMG #225
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); CHOX(32), COX(23);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+CH2X(25)<=>COX(23)+CH3X(26) 4.180000e+21 0.000 14.635
+
+! Reaction index: Chemkin #48; RMG #229
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH3X(26), CH2X(25); CX(28), CHX(27);
+! Estimated using template [Abstracting;*-C-H] for rate rule [C$*;*-CH2-H]
+! Euclidian distance = 2.8284271247461903
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction
+CX(28)+CH3X(26)<=>CHX(27)+CH2X(25) 9.894000e+21 0.000 0.000
+
+! Reaction index: Chemkin #49; RMG #233
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); CH2X(25), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+CH2X(25)<=>CHX(27)+CH3X(26) 8.360000e+21 0.000 17.379
+
+! Reaction index: Chemkin #50; RMG #304
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHX(27), CH2X(25); CHOX(32), COX(23);
+! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHX(27)+CHOX(32)<=>COX(23)+CH2X(25) 4.180000e+21 0.000 20.989
+
+! Reaction index: Chemkin #51; RMG #309
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), CHX(27); CHOX(32), COX(23);
+! Estimated using template [C;*C-H] for rate rule [C$*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CX(28)+CHOX(32)<=>COX(23)+CHX(27) 4.180000e+21 0.000 11.654
+
+! Reaction index: Chemkin #52; RMG #338
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); CX(28), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C$*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CX(28)+CH2X(25)<=>CHX(27)+CHX(27) 8.360000e+21 0.000 14.398
+
+! Reaction index: Chemkin #53; RMG #142
+! Template reaction: Surface_Dissociation_Beta
+! Flux pairs: XCOH(80), HX(21); XCOH(80), COX(23);
+! Exact match found for rate rule [O-H;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Beta
+X(1)+XCOH(80)<=>HX(21)+COX(23) 4.180000e+21 0.000 13.735
+
+! Reaction index: Chemkin #54; RMG #204
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), COX(23); OX(24), OHX(30);
+! Exact match found for rate rule [O;R-O-H]
+! Euclidian distance = 0
+! family: Surface_Abstraction_Beta
+OX(24)+XCOH(80)<=>OHX(30)+COX(23) 4.180000e+21 0.000 0.000
+
+! Reaction index: Chemkin #55; RMG #207
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCOH(80), OHX(30); XCOH(80), CX(28);
+! Estimated using an average for rate rule [C-O;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+! Ea raised from 139.5 to 140.2 kJ/mol to match endothermicity of reaction.
+X(1)+XCOH(80)<=>OHX(30)+CX(28) 1.460000e+24 -0.213 33.508
+
+! Reaction index: Chemkin #56; RMG #226
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), COX(23); CH2X(25), CH3X(26);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+CH2X(25)<=>COX(23)+CH3X(26) 4.180000e+21 0.000 12.430
+
+! Reaction index: Chemkin #57; RMG #244
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CX(28), XCOH(80); H2OX(31), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [AdsorbateVdW;*$C]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+CX(28)<=>HX(21)+XCOH(80) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #58; RMG #305
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), COX(23); CHX(27), CH2X(25);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+CHX(27)+XCOH(80)<=>COX(23)+CH2X(25) 4.180000e+21 0.000 28.573
+
+! Reaction index: Chemkin #59; RMG #310
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), COX(23); CX(28), CHX(27);
+! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+CX(28)+XCOH(80)<=>COX(23)+CHX(27) 4.180000e+21 0.000 4.857
+
+! Reaction index: Chemkin #60; RMG #313
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), CHOX(32); COX(23), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+COX(23)+XCOH(80)<=>COX(23)+CHOX(32) 4.180000e+21 0.000 35.544
+
+! Reaction index: Chemkin #61; RMG #146
+! Template reaction: Surface_Dissociation_Beta
+! Flux pairs: XCHOH(81), HX(21); XCHOH(81), CHOX(32);
+! Exact match found for rate rule [O-H;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Beta
+X(1)+XCHOH(81)<=>HX(21)+CHOX(32) 4.180000e+21 0.000 15.143
+
+! Reaction index: Chemkin #62; RMG #211
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHOH(81), OHX(30); XCHOH(81), CHX(27);
+! Estimated using an average for rate rule [C-O;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+X(1)+XCHOH(81)<=>OHX(30)+CHX(27) 1.460000e+24 -0.213 12.978
+
+! Reaction index: Chemkin #63; RMG #212
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), CHOX(32); OX(24), OHX(30);
+! Exact match found for rate rule [O;R-O-H]
+! Euclidian distance = 0
+! family: Surface_Abstraction_Beta
+OX(24)+XCHOH(81)<=>OHX(30)+CHOX(32) 4.180000e+21 0.000 0.000
+
+! Reaction index: Chemkin #64; RMG #236
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), CHOX(32); CH2X(25), CH3X(26);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+CH2X(25)+XCHOH(81)<=>CHOX(32)+CH3X(26) 4.180000e+21 0.000 17.520
+
+! Reaction index: Chemkin #65; RMG #246
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CHX(27), XCHOH(81); H2OX(31), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [AdsorbateVdW;*#CH]
+! Euclidian distance = 2.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #66; RMG #347
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), CHOX(32); CHX(27), CH2X(25);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+CHX(27)+XCHOH(81)<=>CHOX(32)+CH2X(25) 4.180000e+21 0.000 33.663
+
+! Reaction index: Chemkin #67; RMG #351
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), CHOX(32); CX(28), CHX(27);
+! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+CX(28)+XCHOH(81)<=>CHX(27)+CHOX(32) 4.180000e+21 0.000 9.947
+
+! Reaction index: Chemkin #68; RMG #548
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), CHOX(32); COX(23), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+COX(23)+XCHOH(81)<=>CHOX(32)+CHOX(32) 4.180000e+21 0.000 40.634
+
+! Reaction index: Chemkin #69; RMG #554
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHOH(81), HX(21); XCHOH(81), XCOH(80);
+! Estimated using template [C-H;VacantSite] for rate rule [CHR;VacantSite]
+! Euclidian distance = 1.0
+! family: Surface_Dissociation
+X(1)+XCHOH(81)<=>HX(21)+XCOH(80) 3.710000e+21 0.000 0.000
+
+! Reaction index: Chemkin #70; RMG #558
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCOH(80), XCHOH(81);
+! From training reaction 26 used for C#*;*OH
+! Exact match found for rate rule [C#*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+! Ea raised from 63.3 to 65.8 kJ/mol to match endothermicity of reaction.
+OHX(30)+XCOH(80)<=>OX(24)+XCHOH(81) 4.400000e+22 0.101 15.732
+
+! Reaction index: Chemkin #71; RMG #561
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); XCHOH(81), XCOH(80);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CH2X(25)+XCHOH(81)<=>XCOH(80)+CH3X(26) 4.180000e+21 0.000 16.639
+
+! Reaction index: Chemkin #72; RMG #564
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCOH(80), XCHOH(81); H2OX(31), OHX(30);
+! Estimated using template [O-R;*C] for rate rule [O-R;*#C]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+! Ea raised from 129.2 to 133.4 kJ/mol to match endothermicity of reaction.
+H2OX(31)+XCOH(80)<=>OHX(30)+XCHOH(81) 1.534107e+22 -0.150 31.888
+
+! Reaction index: Chemkin #73; RMG #572
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); XCOH(80), XCHOH(81);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCOH(80)+CH2X(25)<=>CHX(27)+XCHOH(81) 8.360000e+21 0.000 24.474
+
+! Reaction index: Chemkin #74; RMG #575
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), XCOH(80); XCHOH(81), CHX(27);
+! Estimated using template [C$*;Donating] for rate rule [C$*;*=C-OH]
+! Euclidian distance = 4.0
+! family: Surface_Abstraction
+CX(28)+XCHOH(81)<=>CHX(27)+XCOH(80) 2.430000e+21 -0.312 28.418
+DUPLICATE
+
+! Reaction index: Chemkin #75; RMG #577
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCOH(80), XCHOH(81); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCOH(80)<=>HX(21)+XCHOH(81) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #76; RMG #578
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); XCOH(80), XCHOH(81);
+! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCOH(80)<=>COX(23)+XCHOH(81) 4.180000e+21 0.000 21.730
+
+! Reaction index: Chemkin #77; RMG #583
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCOH(80), XCHOH(81); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCOH(80)<=>COX(23)+XCHOH(81) 4.180000e+21 0.000 30.454
+
+! Reaction index: Chemkin #78; RMG #605
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHOH(81), XCOH(80); CX(28), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CX(28)+XCHOH(81)<=>CHX(27)+XCOH(80) 4.180000e+21 0.000 13.658
+DUPLICATE
+
+! Reaction index: Chemkin #79; RMG #619
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHOH(81), XCHOH(81); XCOH(80), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCHOH(81)<=>CHOX(32)+XCHOH(81) 4.180000e+21 0.000 35.544
+
+! Reaction index: Chemkin #80; RMG #339
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: XCXCH2(118), CH2X(25); XCXCH2(118), CX(28);
+! From training reaction 1 used for Combined
+! Exact match found for rate rule [Combined]
+! Euclidian distance = 0
+! family: Surface_Bidentate_Dissociation
+XCXCH2(118)<=>CX(28)+CH2X(25) 4.220000e+12 0.000 24.857
+
+! Reaction index: Chemkin #81; RMG #230
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCCH3(96), CH3X(26); XCCH3(96), CX(28);
+! Exact match found for rate rule [C-C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+X(1)+XCCH3(96)<=>CX(28)+CH3X(26) 4.180000e+21 0.000 46.998
+
+! Reaction index: Chemkin #82; RMG #638
+! Template reaction: Surface_Dissociation_to_Bidentate
+! Flux pairs: XCXCH2(118), XCCH3(96); HX(21), X(1); HX(21), X(1);
+! Matched reaction 4 XCXCH2 + H_X <=> XCCH3 + Pt_5 + Pt_6 in Surface_Dissociation_to_Bidentate/training
+! This reaction matched rate rule [Combined;VacantSite1;VacantSite2]
+! family: Surface_Dissociation_to_Bidentate
+! metal: None
+HX(21)+XCXCH2(118)<=>X(1)+X(1)+XCCH3(96) 1.070000e+22 0.000 17.208
+
+! Reaction index: Chemkin #83; RMG #112
+! Template reaction: Surface_Adsorption_Dissociative_Double
+! Flux pairs: CH3CHO(16), XCHCH3(64); X(1), OX(24); X(1), OX(24);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [OC;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Dissociative_Double
+X(1)+X(1)+CH3CHO(16)<=>OX(24)+XCHCH3(64) 1.000e-02 0.000 10.000
+ STICK
+
+! Reaction index: Chemkin #84; RMG #235
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHCH3(64), CH3X(26); XCHCH3(64), CHX(27);
+! Exact match found for rate rule [C-C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+X(1)+XCHCH3(64)<=>CHX(27)+CH3X(26) 4.180000e+21 0.000 24.965
+
+! Reaction index: Chemkin #85; RMG #671
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHCH3(64), HX(21); XCHCH3(64), XCCH3(96);
+! Estimated using template [C-H;VacantSite] for rate rule [CHR;VacantSite]
+! Euclidian distance = 1.0
+! family: Surface_Dissociation
+X(1)+XCHCH3(64)<=>HX(21)+XCCH3(96) 3.710000e+21 0.000 0.000
+
+! Reaction index: Chemkin #86; RMG #676
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCCH3(96), XCHCH3(64);
+! From training reaction 26 used for C#*;*OH
+! Exact match found for rate rule [C#*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+! Ea raised from 77.4 to 78.5 kJ/mol to match endothermicity of reaction.
+OHX(30)+XCCH3(96)<=>OX(24)+XCHCH3(64) 4.400000e+22 0.101 18.769
+
+! Reaction index: Chemkin #87; RMG #679
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CH2X(25)+XCHCH3(64)<=>CH3X(26)+XCCH3(96) 4.180000e+21 0.000 15.391
+
+! Reaction index: Chemkin #88; RMG #681
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCH3(96), XCHCH3(64); H2OX(31), OHX(30);
+! Estimated using template [O-R;*C] for rate rule [O-R;*#C]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+! Ea raised from 143.3 to 146.1 kJ/mol to match endothermicity of reaction.
+H2OX(31)+XCCH3(96)<=>OHX(30)+XCHCH3(64) 1.534107e+22 -0.150 34.925
+
+! Reaction index: Chemkin #89; RMG #688
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHX(27), CH2X(25); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHX(27)+XCHCH3(64)<=>CH2X(25)+XCCH3(96) 4.180000e+21 0.000 21.746
+
+! Reaction index: Chemkin #90; RMG #690
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), XCCH3(96); XCHCH3(64), CHX(27);
+! Estimated using template [C$*;Donating] for rate rule [C$*;*C-C]
+! Euclidian distance = 2.0
+! family: Surface_Abstraction
+CX(28)+XCHCH3(64)<=>CHX(27)+XCCH3(96) 2.430000e+21 -0.312 28.418
+DUPLICATE
+
+! Reaction index: Chemkin #91; RMG #692
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCH3(96), XCHCH3(64); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCCH3(96)<=>HX(21)+XCHCH3(64) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #92; RMG #693
+! Template reaction: Surface_Abstraction
+! Flux pairs: COX(23), CHOX(32); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+COX(23)+XCHCH3(64)<=>CHOX(32)+XCCH3(96) 4.180000e+21 0.000 24.489
+
+! Reaction index: Chemkin #93; RMG #697
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCHCH3(64); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCCH3(96)<=>COX(23)+XCHCH3(64) 4.180000e+21 0.000 33.623
+
+! Reaction index: Chemkin #94; RMG #701
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCOH(80), XCHOH(81); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCOH(80)+XCHCH3(64)<=>XCHOH(81)+XCCH3(96) 4.180000e+21 0.000 22.486
+
+! Reaction index: Chemkin #95; RMG #702
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCHCH3(64); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCCH3(96)<=>CHOX(32)+XCHCH3(64) 4.180000e+21 0.000 38.713
+
+! Reaction index: Chemkin #96; RMG #726
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), XCCH3(96); CX(28), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CX(28)+XCHCH3(64)<=>CHX(27)+XCCH3(96) 4.180000e+21 0.000 12.410
+DUPLICATE
+
+! Reaction index: Chemkin #97; RMG #340
+! Template reaction: Surface_Dissociation_Double
+! Flux pairs: XCCH2(119), CH2X(25); XCCH2(119), CX(28);
+! Exact match found for rate rule [C=C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Double
+X(1)+XCCH2(119)<=>CX(28)+CH2X(25) 4.180000e+21 0.000 20.973
+
+! Reaction index: Chemkin #98; RMG #634
+! Template reaction: Surface_Monodentate_to_Bidentate
+! Flux pairs: XCCH2(119), XCXCH2(118); X(1), XCXCH2(118);
+! Matched reaction 1 XCCH2 + Pt_4 <=> XCXCH2 in Surface_Monodentate_to_Bidentate/training
+! This reaction matched rate rule [Monodentate;VacantSite]
+! family: Surface_Monodentate_to_Bidentate
+! metal: None
+X(1)+XCCH2(119)<=>XCXCH2(118) 1.000000e+21 0.000 0.000
+
+! Reaction index: Chemkin #99; RMG #669
+! Template reaction: Surface_Dissociation_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); XCCH3(96), HX(21);
+! Estimated using template [C-H;VacantSite] for rate rule [CH3;VacantSite]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Dissociation_Beta
+X(1)+XCCH3(96)<=>HX(21)+XCCH2(119) 1.254000e+22 0.000 50.906
+
+! Reaction index: Chemkin #100; RMG #673
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); OX(24), OHX(30);
+! Estimated using template [O;R-C-H] for rate rule [O;R-CH3]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+OX(24)+XCCH3(96)<=>OHX(30)+XCCH2(119) 1.254000e+22 0.000 68.675
+
+! Reaction index: Chemkin #101; RMG #684
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); COX(23), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+COX(23)+XCCH3(96)<=>CHOX(32)+XCCH2(119) 1.254000e+22 0.000 87.995
+
+! Reaction index: Chemkin #102; RMG #686
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); CX(28), CHX(27);
+! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CX(28)+XCCH3(96)<=>CHX(27)+XCCH2(119) 1.254000e+22 0.000 57.308
+
+! Reaction index: Chemkin #103; RMG #689
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); CH2X(25), CH3X(26);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CH2X(25)+XCCH3(96)<=>CH3X(26)+XCCH2(119) 1.254000e+22 0.000 64.881
+
+! Reaction index: Chemkin #104; RMG #691
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); CHX(27), CH2X(25);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CHX(27)+XCCH3(96)<=>CH2X(25)+XCCH2(119) 1.254000e+22 0.000 81.024
+
+! Reaction index: Chemkin #105; RMG #698
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCCH2(119); XCOH(80), XCHOH(81);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCCH3(96)<=>XCHOH(81)+XCCH2(119) 1.254000e+22 0.000 82.905
+
+! Reaction index: Chemkin #106; RMG #706
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCHCH3(64); XCCH3(96), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH3(96)+XCCH3(96)<=>XCCH2(119)+XCHCH3(64) 1.254000e+22 0.000 86.074
+
+! Reaction index: Chemkin #107; RMG #345
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: XCH2XCH(122), CHX(27); XCH2XCH(122), CH2X(25);
+! Matched reaction 4 HCCH2_2X <=> CHX_3 + CH2X_4 in Surface_Bidentate_Dissociation/training
+! This reaction matched rate rule [Combined]
+! family: Surface_Bidentate_Dissociation
+! metal: None
+XCH2XCH(122)<=>CHX(27)+CH2X(25) 2.740000e+13 0.000 33.461
+
+! Reaction index: Chemkin #108; RMG #637
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCH2XCH(122), HX(21); XCH2XCH(122), XCXCH2(118);
+! Matched reaction 65 XCHXCH2_1 + Ni_4 <=> XCXCH2_3 + HX_5 in Surface_Dissociation/training
+! This reaction matched rate rule [C-H_Bidentate;VacantSite]
+! family: Surface_Dissociation
+! metal: None
+X(1)+XCH2XCH(122)<=>HX(21)+XCXCH2(118) 9.690000e+21 0.000 11.472
+
+! Reaction index: Chemkin #109; RMG #641
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCXCH2(118), XCH2XCH(122);
+! From training reaction 26 used for C#*;*OH
+! Exact match found for rate rule [C#*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+OHX(30)+XCXCH2(118)<=>OX(24)+XCH2XCH(122) 4.400000e+22 0.101 10.134
+
+! Reaction index: Chemkin #110; RMG #644
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); XCH2XCH(122), XCXCH2(118);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CH2X(25)+XCH2XCH(122)<=>CH3X(26)+XCXCH2(118) 4.180000e+21 0.000 19.939
+
+! Reaction index: Chemkin #111; RMG #646
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCXCH2(118), XCH2XCH(122); H2OX(31), OHX(30);
+! Estimated using template [O-R;*C] for rate rule [O-R;*#C]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+XCXCH2(118)<=>OHX(30)+XCH2XCH(122) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #112; RMG #654
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); XCXCH2(118), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCXCH2(118)<=>CHX(27)+XCH2XCH(122) 8.360000e+21 0.000 21.173
+
+! Reaction index: Chemkin #113; RMG #656
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), CHX(27); XCH2XCH(122), XCXCH2(118);
+! Estimated using template [C;*C-H] for rate rule [C$*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CX(28)+XCH2XCH(122)<=>CHX(27)+XCXCH2(118) 4.180000e+21 0.000 16.958
+
+! Reaction index: Chemkin #114; RMG #657
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCXCH2(118), XCH2XCH(122); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [H-H;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCXCH2(118)<=>HX(21)+XCH2XCH(122) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #115; RMG #658
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); XCXCH2(118), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCXCH2(118)<=>COX(23)+XCH2XCH(122) 4.180000e+21 0.000 18.429
+
+! Reaction index: Chemkin #116; RMG #663
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCXCH2(118), XCH2XCH(122); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCXCH2(118)<=>COX(23)+XCH2XCH(122) 4.180000e+21 0.000 22.070
+
+! Reaction index: Chemkin #117; RMG #666
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHOH(81), XCOH(80); XCXCH2(118), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHOH(81)+XCXCH2(118)<=>XCOH(80)+XCH2XCH(122) 4.180000e+21 0.000 20.433
+
+! Reaction index: Chemkin #118; RMG #667
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCXCH2(118), XCH2XCH(122); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCXCH2(118)<=>CHOX(32)+XCH2XCH(122) 4.180000e+21 0.000 27.159
+
+! Reaction index: Chemkin #119; RMG #705
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCH2XCH(122); XCXCH2(118), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCXCH2(118)+XCCH3(96)<=>XCCH2(119)+XCH2XCH(122) 1.254000e+22 0.000 74.520
+
+! Reaction index: Chemkin #120; RMG #708
+! Template reaction: Surface_Dissociation_to_Bidentate
+! Flux pairs: XCHCH3(64), XCH2XCH(122); X(1), HX(21); X(1), HX(21);
+! Matched reaction 2 HCCH3_X + Pt_5 + Pt_6 <=> HCCH2_2X + H_X in Surface_Dissociation_to_Bidentate/training
+! This reaction matched rate rule [Combined;VacantSite1;VacantSite2]
+! family: Surface_Dissociation_to_Bidentate
+! metal: None
+X(1)+X(1)+XCHCH3(64)<=>HX(21)+XCH2XCH(122) 6.500000e+29 0.000 11.711
+
+! Reaction index: Chemkin #121; RMG #748
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), XCCH3(96); XCXCH2(118), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C#*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCXCH2(118)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH(122) 4.180000e+21 0.000 19.186
+
+! Reaction index: Chemkin #122; RMG #115
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: C2H4(18), XCHCH2(67); X(1), HX(21); X(1), HX(21);
+! Exact match found for rate rule [C2H4;VacantSite1;VacantSite2]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+C2H4(18)<=>HX(21)+XCHCH2(67) 1.000e-01 0.000 16.632
+ STICK
+
+! Reaction index: Chemkin #123; RMG #346
+! Template reaction: Surface_Dissociation_Double
+! Flux pairs: XCHCH2(67), CH2X(25); XCHCH2(67), CHX(27);
+! Exact match found for rate rule [C=C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Double
+X(1)+XCHCH2(67)<=>CHX(27)+CH2X(25) 4.180000e+21 0.000 21.335
+
+! Reaction index: Chemkin #124; RMG #707
+! Template reaction: Surface_Dissociation_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); XCHCH3(64), HX(21);
+! Estimated using template [C-H;VacantSite] for rate rule [CH3;VacantSite]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Dissociation_Beta
+X(1)+XCHCH3(64)<=>HX(21)+XCHCH2(67) 1.254000e+22 0.000 32.865
+
+! Reaction index: Chemkin #125; RMG #712
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); OX(24), OHX(30);
+! Estimated using template [O;R-C-H] for rate rule [O;R-CH3]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+OX(24)+XCHCH3(64)<=>OHX(30)+XCHCH2(67) 1.254000e+22 0.000 39.436
+
+! Reaction index: Chemkin #126; RMG #724
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); COX(23), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+COX(23)+XCHCH3(64)<=>CHOX(32)+XCHCH2(67) 1.254000e+22 0.000 58.756
+
+! Reaction index: Chemkin #127; RMG #727
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); CX(28), CHX(27);
+! Estimated using template [Abstracting;Donating] for rate rule [C$*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CX(28)+XCHCH3(64)<=>CHX(27)+XCHCH2(67) 1.254000e+22 0.000 28.069
+
+! Reaction index: Chemkin #128; RMG #730
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); CH2X(25), CH3X(26);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CH2X(25)+XCHCH3(64)<=>CH3X(26)+XCHCH2(67) 1.254000e+22 0.000 35.642
+
+! Reaction index: Chemkin #129; RMG #732
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); CHX(27), CH2X(25);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+CHX(27)+XCHCH3(64)<=>CH2X(25)+XCHCH2(67) 1.254000e+22 0.000 51.785
+
+! Reaction index: Chemkin #130; RMG #741
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); XCOH(80), XCHOH(81);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCHCH3(64)<=>XCHOH(81)+XCHCH2(67) 1.254000e+22 0.000 53.666
+
+! Reaction index: Chemkin #131; RMG #750
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2XCH(122); XCXCH2(118), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCXCH2(118)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH(122) 1.254000e+22 0.000 45.281
+
+! Reaction index: Chemkin #132; RMG #752
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH3(64); XCCH3(96), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C#*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH3(96)+XCHCH3(64)<=>XCHCH2(67)+XCHCH3(64) 1.254000e+22 0.000 56.835
+
+! Reaction index: Chemkin #133; RMG #757
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHCH2(67), HX(21); XCHCH2(67), XCCH2(119);
+! From training reaction 48 used for C-H;VacantSite
+! Exact match found for rate rule [C-H;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+! Ea raised from 0.0 to 55.4 kJ/mol to match endothermicity of reaction.
+X(1)+XCHCH2(67)<=>HX(21)+XCCH2(119) 3.710000e+21 0.000 13.250
+
+! Reaction index: Chemkin #134; RMG #761
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCCH2(119), XCHCH2(67);
+! From training reaction 24 used for C=*;*OH
+! Exact match found for rate rule [C=*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+OHX(30)+XCCH2(119)<=>OX(24)+XCHCH2(67) 1.390000e+21 0.101 4.541
+
+! Reaction index: Chemkin #135; RMG #764
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH3X(26), CH2X(25); XCCH2(119), XCHCH2(67);
+! Estimated using template [Abstracting;*-C-H] for rate rule [C=*;*-CH2-H]
+! Euclidian distance = 2.8284271247461903
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction
+CH3X(26)+XCCH2(119)<=>CH2X(25)+XCHCH2(67) 9.894000e+21 0.000 0.000
+
+! Reaction index: Chemkin #136; RMG #765
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCH2(119), XCHCH2(67); H2OX(31), OHX(30);
+! From training reaction 40 used for O-R;*=C=R
+! Exact match found for rate rule [O-R;*=C=R]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+XCCH2(119)<=>OHX(30)+XCHCH2(67) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #137; RMG #767
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCCH2(119)<=>CHX(27)+XCHCH2(67) 8.360000e+21 0.000 14.212
+
+! Reaction index: Chemkin #138; RMG #768
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHX(27), CX(28); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*#C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHX(27)+XCCH2(119)<=>CX(28)+XCHCH2(67) 4.180000e+21 0.000 23.547
+
+! Reaction index: Chemkin #139; RMG #769
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCH2(119), XCHCH2(67); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCCH2(119)<=>HX(21)+XCHCH2(67) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #140; RMG #770
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCCH2(119)<=>COX(23)+XCHCH2(67) 4.180000e+21 0.000 11.468
+
+! Reaction index: Chemkin #141; RMG #772
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH2(119), XCHCH2(67); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCCH2(119)<=>COX(23)+XCHCH2(67) 4.180000e+21 0.000 4.384
+
+! Reaction index: Chemkin #142; RMG #775
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHOH(81), XCOH(80); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHOH(81)+XCCH2(119)<=>XCOH(80)+XCHCH2(67) 4.180000e+21 0.000 13.472
+
+! Reaction index: Chemkin #143; RMG #776
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH2(119), XCHCH2(67); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCCH2(119)<=>CHOX(32)+XCHCH2(67) 4.180000e+21 0.000 9.474
+
+! Reaction index: Chemkin #144; RMG #780
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCHCH2(67); XCCH2(119), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH2(119)+XCCH3(96)<=>XCCH2(119)+XCHCH2(67) 1.254000e+22 0.000 56.835
+
+! Reaction index: Chemkin #145; RMG #781
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), XCCH3(96); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCCH2(119)+XCHCH3(64)<=>XCCH3(96)+XCHCH2(67) 4.180000e+21 0.000 12.224
+
+! Reaction index: Chemkin #146; RMG #782
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCHCH2(67); XCCH2(119), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH2(119)+XCHCH3(64)<=>XCHCH2(67)+XCHCH2(67) 1.254000e+22 0.000 27.596
+
+! Reaction index: Chemkin #147; RMG #783
+! Template reaction: Surface_Monodentate_to_Bidentate
+! Flux pairs: XCHCH2(67), XCH2XCH(122); X(1), XCH2XCH(122);
+! Matched reaction 2 XCHCH2 + Pt_4 <=> XCHXCH2 in Surface_Monodentate_to_Bidentate/training
+! This reaction matched rate rule [Monodentate;VacantSite]
+! family: Surface_Monodentate_to_Bidentate
+! metal: None
+X(1)+XCHCH2(67)<=>XCH2XCH(122) 7.150000e+20 0.000 0.717
+
+! Reaction index: Chemkin #148; RMG #827
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCXCH2(118); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCCH2(119)+XCH2XCH(122)<=>XCXCH2(118)+XCHCH2(67) 4.180000e+21 0.000 16.772
+
+! Reaction index: Chemkin #149; RMG #350
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: XCHXCH(123), CHX(27); XCHXCH(123), CHX(27);
+! Matched reaction 3 HCCH_2X <=> CHX_3 + CHX_4 in Surface_Bidentate_Dissociation/training
+! This reaction matched rate rule [Combined]
+! family: Surface_Bidentate_Dissociation
+! metal: None
+XCHXCH(123)<=>CHX(27)+CHX(27) 7.930000e+12 0.000 21.511
+
+! Reaction index: Chemkin #150; RMG #784
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCH2XCH(122), XCHXCH(123); XCH2XCH(122), HX(21);
+! Matched reaction 60 HCCH2_2X + Ni_4 <=> HCCH_2X + HX_5 in Surface_Dissociation/training
+! This reaction matched rate rule [C-H_Bidentate;VacantSite]
+! family: Surface_Dissociation
+! metal: None
+X(1)+XCH2XCH(122)<=>HX(21)+XCHXCH(123) 4.750000e+21 0.000 17.208
+
+! Reaction index: Chemkin #151; RMG #785
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCHXCH(123), XCH2XCH(122); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCHXCH(123)<=>HX(21)+XCH2XCH(122) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #152; RMG #787
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); OHX(30), OX(24);
+! From training reaction 24 used for C=*;*OH
+! Exact match found for rate rule [C=*;*OH]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+OHX(30)+XCHXCH(123)<=>OX(24)+XCH2XCH(122) 2.780000e+21 0.101 4.541
+
+! Reaction index: Chemkin #153; RMG #789
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCHXCH(123), XCH2XCH(122); H2OX(31), OHX(30);
+! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+XCHXCH(123)<=>OHX(30)+XCH2XCH(122) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #154; RMG #798
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); CHOX(32), COX(23);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CHOX(32)+XCHXCH(123)<=>COX(23)+XCH2XCH(122) 8.360000e+21 0.000 16.457
+
+! Reaction index: Chemkin #155; RMG #799
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHXCH(123), XCH2XCH(122); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCHXCH(123)<=>COX(23)+XCH2XCH(122) 8.360000e+21 0.000 17.059
+
+! Reaction index: Chemkin #156; RMG #800
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCHXCH(123); CX(28), CHX(27);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CX(28)+XCH2XCH(122)<=>CHX(27)+XCHXCH(123) 7.425804e+21 0.000 9.465
+
+! Reaction index: Chemkin #157; RMG #801
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCHXCH(123); CH2X(25), CH3X(26);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCH2XCH(122)<=>CH3X(26)+XCHXCH(123) 7.425804e+21 0.000 10.956
+
+! Reaction index: Chemkin #158; RMG #803
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); CH2X(25), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction
+CH2X(25)+XCHXCH(123)<=>CHX(27)+XCH2XCH(122) 1.672000e+22 0.000 19.201
+
+! Reaction index: Chemkin #159; RMG #807
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCHXCH(123)<=>CHOX(32)+XCH2XCH(122) 8.360000e+21 0.000 22.148
+
+! Reaction index: Chemkin #160; RMG #810
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHOH(81), XCOH(80);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCHOH(81)+XCHXCH(123)<=>XCOH(80)+XCH2XCH(122) 8.360000e+21 0.000 18.460
+
+! Reaction index: Chemkin #161; RMG #818
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); XCH2XCH(122), XCXCH2(118);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCHXCH(123)+XCH2XCH(122)<=>XCXCH2(118)+XCH2XCH(122) 8.360000e+21 0.000 21.761
+
+! Reaction index: Chemkin #162; RMG #820
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHXCH(123), XCH2XCH(122); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCHXCH(123)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH(122) 8.360000e+21 0.000 17.213
+
+! Reaction index: Chemkin #163; RMG #826
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCHXCH(123); XCCH2(119), XCHCH2(67);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCCH2(119)+XCH2XCH(122)<=>XCHXCH(123)+XCHCH2(67) 7.425804e+21 0.000 9.372
+
+! Reaction index: Chemkin #164; RMG #828
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCH3(96), XCH2XCH(122); XCHXCH(123), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 6.0
+! family: Surface_Abstraction_Beta
+XCHXCH(123)+XCCH3(96)<=>XCCH2(119)+XCH2XCH(122) 2.508000e+22 0.000 69.509
+
+! Reaction index: Chemkin #165; RMG #832
+! Template reaction: Surface_Dissociation_to_Bidentate
+! Flux pairs: XCHCH2(67), XCHXCH(123); X(1), HX(21); X(1), HX(21);
+! From training reaction 1 used for Combined;VacantSite1;VacantSite2
+! Exact match found for rate rule [Combined;VacantSite1;VacantSite2]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Dissociation_to_Bidentate
+X(1)+X(1)+XCHCH2(67)<=>HX(21)+XCHXCH(123) 3.713333e+29 0.000 10.994
+
+! Reaction index: Chemkin #166; RMG #862
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2XCH(122); XCHXCH(123), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 6.0
+! family: Surface_Abstraction_Beta
+XCHXCH(123)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH(122) 2.508000e+22 0.000 40.270
+
+! Reaction index: Chemkin #167; RMG #121
+! Template reaction: Surface_Monodentate_to_Bidentate
+! Flux pairs: X(1), XCHXO(70); CHOX(32), XCHXO(70);
+! Matched reaction 3 HXCO + Pt_4 <=> HXCXO in Surface_Monodentate_to_Bidentate/training
+! This reaction matched rate rule [Monodentate;VacantSite]
+! family: Surface_Monodentate_to_Bidentate
+! metal: None
+! Ea raised from 0.0 to 28.8 kJ/mol to match endothermicity of reaction.
+X(1)+CHOX(32)<=>XCHXO(70) 1.000000e+21 0.000 6.888
+
+! Reaction index: Chemkin #168; RMG #179
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: CHX(27), XCHXO(70); OX(24), XCHXO(70);
+! Matched reaction 6 CHX_3 + OX_4 <=> HCO_2X in Surface_Bidentate_Dissociation/training
+! This reaction matched rate rule [Combined]
+! family: Surface_Bidentate_Dissociation
+! metal: None
+OX(24)+CHX(27)<=>XCHXO(70) 6.540000e+21 0.000 33.939
+
+! Reaction index: Chemkin #169; RMG #585
+! Template reaction: Surface_Dissociation_to_Bidentate
+! Flux pairs: XCHOH(81), XCHXO(70); X(1), HX(21); X(1), HX(21);
+! From training reaction 1 used for Combined;VacantSite1;VacantSite2
+! Exact match found for rate rule [Combined;VacantSite1;VacantSite2]
+! Euclidian distance = 0
+! family: Surface_Dissociation_to_Bidentate
+X(1)+X(1)+XCHOH(81)<=>HX(21)+XCHXO(70) 1.856667e+29 0.000 10.994
+
+! Reaction index: Chemkin #170; RMG #96
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: C2H6(8), XCH2CH3(54); X(1), HX(21); X(1), HX(21);
+! Exact match found for rate rule [C2H6;VacantSite1;VacantSite2]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 6.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+C2H6(8)<=>HX(21)+XCH2CH3(54) 2.052e+00 0.000 10.206
+ STICK
+
+! Reaction index: Chemkin #171; RMG #102
+! Template reaction: Surface_Adsorption_Dissociative
+! Flux pairs: C3H8(11), XCH2CH3(54); X(1), CH3X(26); X(1), CH3X(26);
+! Estimated using template [Adsorbate;VacantSite1;VacantSite2] for rate rule [C;VacantSite1;VacantSite2]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Adsorption_Dissociative
+X(1)+X(1)+C3H8(11)<=>CH3X(26)+XCH2CH3(54) 3.000e-02 0.000 1.195
+ STICK
+
+! Reaction index: Chemkin #172; RMG #103
+! Template reaction: Surface_Adsorption_Single
+! Flux pairs: X(1), XCH2CH3(54); C2H5(13), XCH2CH3(54);
+! Estimated using template [Adsorbate;VacantSite] for rate rule [C;VacantSite]
+! Euclidian distance = 1.0
+! family: Surface_Adsorption_Single
+X(1)+C2H5(13)<=>XCH2CH3(54) 8.500e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #173; RMG #232
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCH2CH3(54), CH3X(26); XCH2CH3(54), CH2X(25);
+! Exact match found for rate rule [C-C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+X(1)+XCH2CH3(54)<=>CH2X(25)+CH3X(26) 4.180000e+21 0.000 35.960
+
+! Reaction index: Chemkin #174; RMG #687
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), XCCH3(96); XCH2CH3(54), CH2X(25);
+! Estimated using template [C$*;Donating] for rate rule [C$*;*C-C]
+! Euclidian distance = 2.0
+! family: Surface_Abstraction
+CX(28)+XCH2CH3(54)<=>CH2X(25)+XCCH3(96) 2.430000e+21 -0.312 28.418
+
+! Reaction index: Chemkin #175; RMG #710
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCH2CH3(54), HX(21); XCH2CH3(54), XCHCH3(64);
+! Estimated using template [C-H;VacantSite] for rate rule [CH2R;VacantSite]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Dissociation
+! Ea raised from 0.0 to 13.0 kJ/mol to match endothermicity of reaction.
+X(1)+XCH2CH3(54)<=>HX(21)+XCHCH3(64) 7.420000e+21 0.000 3.109
+
+! Reaction index: Chemkin #176; RMG #715
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCHCH3(64), XCH2CH3(54);
+! From training reaction 24 used for C=*;*OH
+! Exact match found for rate rule [C=*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+OHX(30)+XCHCH3(64)<=>OX(24)+XCH2CH3(54) 1.390000e+21 0.101 4.541
+
+! Reaction index: Chemkin #177; RMG #718
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); XCH2CH3(54), XCHCH3(64);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCH2CH3(54)<=>CH3X(26)+XCHCH3(64) 7.425804e+21 0.000 11.515
+
+! Reaction index: Chemkin #178; RMG #721
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCHCH3(64), XCH2CH3(54); H2OX(31), OHX(30);
+! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+XCHCH3(64)<=>OHX(30)+XCH2CH3(54) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #179; RMG #728
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), CHX(27); CH2X(25), XCH2CH3(54);
+! Estimated using template [C=*;Donating] for rate rule [C=*;*C-C]
+! Euclidian distance = 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCHCH3(64)<=>CHX(27)+XCH2CH3(54) 1.390000e+21 0.101 4.541
+DUPLICATE
+
+! Reaction index: Chemkin #180; RMG #729
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCHCH3(64)<=>CHX(27)+XCH2CH3(54) 8.360000e+21 0.000 18.083
+DUPLICATE
+
+! Reaction index: Chemkin #181; RMG #731
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), CHX(27); XCH2CH3(54), XCHCH3(64);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CX(28)+XCH2CH3(54)<=>CHX(27)+XCHCH3(64) 7.425804e+21 0.000 10.024
+
+! Reaction index: Chemkin #182; RMG #733
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCHCH3(64), XCH2CH3(54); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCHCH3(64)<=>HX(21)+XCH2CH3(54) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #183; RMG #734
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCHCH3(64)<=>COX(23)+XCH2CH3(54) 4.180000e+21 0.000 15.339
+
+! Reaction index: Chemkin #184; RMG #740
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2CH3(54); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCHCH3(64)<=>COX(23)+XCH2CH3(54) 4.180000e+21 0.000 14.218
+
+! Reaction index: Chemkin #185; RMG #745
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHOH(81), XCOH(80); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHOH(81)+XCHCH3(64)<=>XCOH(80)+XCH2CH3(54) 4.180000e+21 0.000 17.342
+
+! Reaction index: Chemkin #186; RMG #746
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2CH3(54); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCHCH3(64)<=>CHOX(32)+XCH2CH3(54) 4.180000e+21 0.000 19.308
+
+! Reaction index: Chemkin #187; RMG #751
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2CH3(54); XCCH3(96), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH3(96)+XCHCH3(64)<=>XCCH2(119)+XCH2CH3(54) 1.254000e+22 0.000 66.669
+
+! Reaction index: Chemkin #188; RMG #753
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), XCCH3(96); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHCH3(64)+XCHCH3(64)<=>XCCH3(96)+XCH2CH3(54) 4.180000e+21 0.000 16.095
+
+! Reaction index: Chemkin #189; RMG #754
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2CH3(54); XCHCH3(64), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCHCH3(64)+XCHCH3(64)<=>XCHCH2(67)+XCH2CH3(54) 1.254000e+22 0.000 37.430
+
+! Reaction index: Chemkin #190; RMG #822
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCHXCH(123); XCHCH3(64), XCH2CH3(54);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCH2XCH(122)+XCHCH3(64)<=>XCHXCH(123)+XCH2CH3(54) 7.425804e+21 0.000 11.308
+
+! Reaction index: Chemkin #191; RMG #823
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCXCH2(118); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCH2XCH(122)+XCHCH3(64)<=>XCXCH2(118)+XCH2CH3(54) 4.180000e+21 0.000 20.643
+
+! Reaction index: Chemkin #192; RMG #859
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCCH2(119), XCHCH2(67); XCH2CH3(54), XCHCH3(64);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCCH2(119)+XCH2CH3(54)<=>XCHCH2(67)+XCHCH3(64) 7.425804e+21 0.000 9.931
+
+! Reaction index: Chemkin #193; RMG #835
+! Template reaction: Surface_Abstraction_Beta_double_vdW
+! Flux pairs: XCHCH2(67), CHCHX(176); OHX(30), H2OX(31);
+! Exact match found for rate rule [OH;R-C-H]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_Beta_double_vdW
+OHX(30)+XCHCH2(67)<=>H2OX(31)+CHCHX(176) 8.360000e+21 0.000 34.012
+
+! Reaction index: Chemkin #194; RMG #868
+! Template reaction: Surface_vdW_to_Bidentate
+! Flux pairs: CHCHX(176), XCHXCH(123); X(1), XCHXCH(123);
+! Matched reaction 1 HCCHX_vdW + X <=> HCCH_2X in Surface_vdW_to_Bidentate/training
+! This reaction matched rate rule [Combined;VacantSite]
+! family: Surface_vdW_to_Bidentate
+! metal: None
+X(1)+CHCHX(176)<=>XCHXCH(123) 1.000000e+21 0.000 0.000
+
+! Reaction index: Chemkin #195; RMG #312
+! Template reaction: Surface_Dissociation_Double
+! Flux pairs: XCHCO(111), COX(23); XCHCO(111), CHX(27);
+! Exact match found for rate rule [C=C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Double
+X(1)+XCHCO(111)<=>COX(23)+CHX(27) 4.180000e+21 0.000 0.000
+
+! Reaction index: Chemkin #196; RMG #303
+! Template reaction: Surface_Dissociation_Double
+! Flux pairs: XCCO(106), COX(23); XCCO(106), CX(28);
+! Exact match found for rate rule [C=C;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation_Double
+X(1)+XCCO(106)<=>CX(28)+COX(23) 4.180000e+21 0.000 19.459
+
+! Reaction index: Chemkin #197; RMG #1039
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCHCO(111), XCCO(106); XCHCO(111), HX(21);
+! From training reaction 48 used for C-H;VacantSite
+! Exact match found for rate rule [C-H;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Dissociation
+X(1)+XCHCO(111)<=>HX(21)+XCCO(106) 3.710000e+21 0.000 0.000
+
+! Reaction index: Chemkin #198; RMG #1041
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCO(106), XCHCO(111); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [H-H;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCCO(106)<=>HX(21)+XCHCO(111) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #199; RMG #1045
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); OX(24), OHX(30);
+! From training reaction 39 used for O;*-C-H
+! Exact match found for rate rule [O;*-C-H]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+OX(24)+XCHCO(111)<=>OHX(30)+XCCO(106) 3.298000e+21 0.000 0.000
+
+! Reaction index: Chemkin #200; RMG #1048
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCO(106), XCHCO(111); H2OX(31), OHX(30);
+! From training reaction 40 used for O-R;*=C=R
+! Exact match found for rate rule [O-R;*=C=R]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+! Ea raised from 130.6 to 133.4 kJ/mol to match endothermicity of reaction.
+H2OX(31)+XCCO(106)<=>OHX(30)+XCHCO(111) 1.534107e+22 -0.150 31.891
+
+! Reaction index: Chemkin #201; RMG #1059
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCCO(106), XCHCO(111); CHOX(32), COX(23);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCCO(106)<=>COX(23)+XCHCO(111) 4.180000e+21 0.000 21.856
+
+! Reaction index: Chemkin #202; RMG #1060
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCO(106), XCHCO(111); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCCO(106)<=>COX(23)+XCHCO(111) 4.180000e+21 0.000 30.776
+
+! Reaction index: Chemkin #203; RMG #1061
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); CX(28), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C$*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CX(28)+XCHCO(111)<=>CHX(27)+XCCO(106) 4.180000e+21 0.000 13.531
+
+! Reaction index: Chemkin #204; RMG #1062
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); CH2X(25), CH3X(26);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CH2X(25)+XCHCO(111)<=>CH3X(26)+XCCO(106) 4.180000e+21 0.000 16.512
+
+! Reaction index: Chemkin #205; RMG #1065
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCCO(106), XCHCO(111); CH2X(25), CHX(27);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCCO(106)<=>CHX(27)+XCHCO(111) 8.360000e+21 0.000 24.600
+
+! Reaction index: Chemkin #206; RMG #1068
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCO(106), XCHCO(111); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCCO(106)<=>CHOX(32)+XCHCO(111) 4.180000e+21 0.000 35.865
+
+! Reaction index: Chemkin #207; RMG #1072
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCOH(80), XCHOH(81);
+! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCOH(80)+XCHCO(111)<=>XCHOH(81)+XCCO(106) 4.180000e+21 0.000 23.607
+
+! Reaction index: Chemkin #208; RMG #1080
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCXCH2(118), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C#*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHCO(111)+XCXCH2(118)<=>XCCO(106)+XCH2XCH(122) 4.180000e+21 0.000 20.306
+
+! Reaction index: Chemkin #209; RMG #1083
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCCO(106), XCHCO(111); XCHCH3(64), XCCH3(96);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCCO(106)+XCHCH3(64)<=>XCHCO(111)+XCCH3(96) 4.180000e+21 0.000 22.612
+
+! Reaction index: Chemkin #210; RMG #1084
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCHCH3(64), XCH2CH3(54);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHCO(111)+XCHCH3(64)<=>XCCO(106)+XCH2CH3(54) 4.180000e+21 0.000 17.216
+
+! Reaction index: Chemkin #211; RMG #1087
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCCH2(119), XCHCH2(67);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHCO(111)+XCCH2(119)<=>XCCO(106)+XCHCH2(67) 4.180000e+21 0.000 13.345
+
+! Reaction index: Chemkin #212; RMG #1088
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCO(106), XCHCO(111); XCCH3(96), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCO(106)+XCCH3(96)<=>XCHCO(111)+XCCH2(119) 1.254000e+22 0.000 83.226
+
+! Reaction index: Chemkin #213; RMG #1094
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCCO(106), XCHCO(111); XCHCH3(64), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCO(106)+XCHCH3(64)<=>XCHCO(111)+XCHCH2(67) 1.254000e+22 0.000 53.988
+
+! Reaction index: Chemkin #214; RMG #1099
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCHXCH(123), XCH2XCH(122);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCHCO(111)+XCHXCH(123)<=>XCCO(106)+XCH2XCH(122) 8.360000e+21 0.000 18.334
+
+! Reaction index: Chemkin #215; RMG #302
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: XCXCO(105), CX(28); XCXCO(105), COX(23);
+! From training reaction 1 used for Combined
+! Exact match found for rate rule [Combined]
+! Euclidian distance = 0
+! family: Surface_Bidentate_Dissociation
+XCXCO(105)<=>CX(28)+COX(23) 4.220000e+12 0.000 24.857
+
+! Reaction index: Chemkin #216; RMG #1112
+! Template reaction: Surface_Monodentate_to_Bidentate
+! Flux pairs: X(1), XCXCO(105); XCCO(106), XCXCO(105);
+! From training reaction 1 used for Monodentate;VacantSite
+! Exact match found for rate rule [Monodentate;VacantSite]
+! Euclidian distance = 0
+! family: Surface_Monodentate_to_Bidentate
+! Ea raised from 0.0 to 6.7 kJ/mol to match endothermicity of reaction.
+X(1)+XCCO(106)<=>XCXCO(105) 1.000000e+21 0.000 1.604
+
+! Reaction index: Chemkin #217; RMG #117
+! Template reaction: Surface_Adsorption_vdW
+! Flux pairs: X(1), CH2CH2X(68); C2H4(18), CH2CH2X(68);
+! Estimated using template [C;VacantSite] for rate rule [C2H4;VacantSite]
+! Euclidian distance = 3.0
+! family: Surface_Adsorption_vdW
+X(1)+C2H4(18)<=>CH2CH2X(68) 7.000e-06 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #218; RMG #344
+! Template reaction: Surface_Dissociation_Double_vdW
+! Flux pairs: CH2CH2X(68), CH2X(25); CH2CH2X(68), CH2X(25);
+! Estimated using an average for rate rule [AdsorbateVdW;VacantSite]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Dissociation_Double_vdW
+X(1)+CH2CH2X(68)<=>CH2X(25)+CH2X(25) 3.282000e+20 0.000 57.651
+
+! Reaction index: Chemkin #219; RMG #833
+! Template reaction: Surface_Dissociation_vdW
+! Flux pairs: CH2CH2X(68), HX(21); CH2CH2X(68), XCHCH2(67);
+! Estimated using template [CH2R;VacantSite] for rate rule [C2H4;VacantSite]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Dissociation_vdW
+X(1)+CH2CH2X(68)<=>HX(21)+XCHCH2(67) 1.493995e+14 1.801 4.381
+
+! Reaction index: Chemkin #220; RMG #836
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); OX(24), OHX(30);
+! From training reaction 21 used for C-R;*=O
+! Exact match found for rate rule [C-R;*=O]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+OX(24)+CH2CH2X(68)<=>OHX(30)+XCHCH2(67) 5.620000e+24 -0.101 22.156
+
+! Reaction index: Chemkin #221; RMG #842
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); CH2X(25), CH3X(26);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+CH2X(25)+CH2CH2X(68)<=>CH3X(26)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #222; RMG #843
+! Template reaction: Surface_Abstraction_Single_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); OHX(30), H2OX(31);
+! Estimated using template [Donating;Abstracting] for rate rule [C-R;*O-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_Single_vdW
+OHX(30)+CH2CH2X(68)<=>H2OX(31)+XCHCH2(67) 1.672000e+22 0.000 14.516
+
+! Reaction index: Chemkin #223; RMG #846
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); CHX(27), CH2X(25);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#CH]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+CHX(27)+CH2CH2X(68)<=>CH2X(25)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #224; RMG #847
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); CX(28), CHX(27);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*$C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+CX(28)+CH2CH2X(68)<=>CHX(27)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #225; RMG #850
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); COX(23), CHOX(32);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+COX(23)+CH2CH2X(68)<=>CHOX(32)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #226; RMG #856
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); XCOH(80), XCHOH(81);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCOH(80)+CH2CH2X(68)<=>XCHOH(81)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #227; RMG #860
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH3(64); XCCH3(96), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCCH3(96)+CH2CH2X(68)<=>XCHCH2(67)+XCHCH3(64) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #228; RMG #863
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCH2XCH(122); XCHXCH(123), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 8.0
+! family: Surface_Abstraction_vdW
+XCHXCH(123)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH(122) 6.136428e+22 -0.150 26.653
+
+! Reaction index: Chemkin #229; RMG #864
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCH2XCH(122); XCXCH2(118), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*C] for rate rule [C-R;*#C]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCXCH2(118)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH(122) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #230; RMG #865
+! Template reaction: Surface_Abstraction_Beta_double_vdW
+! Flux pairs: XCHCH2(67), CH2CH2X(68); XCHCH2(67), CHCHX(176);
+! Estimated using template [Abstracting;Donating] for rate rule [Abstracting;R-C-H]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_Beta_double_vdW
+XCHCH2(67)+XCHCH2(67)<=>CHCHX(176)+CH2CH2X(68) 8.360000e+21 0.000 45.867
+
+! Reaction index: Chemkin #231; RMG #866
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCHCH2(67); XCCH2(119), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCCH2(119)+CH2CH2X(68)<=>XCHCH2(67)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #232; RMG #954
+! Template reaction: Surface_Dissociation_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCH2CH3(54), HX(21);
+! From training reaction 24 used for CH3;VacantSite
+! Exact match found for rate rule [CH3;VacantSite]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Dissociation_Beta_vdW
+X(1)+XCH2CH3(54)<=>HX(21)+CH2CH2X(68) 5.547763e+19 0.946 13.973
+
+! Reaction index: Chemkin #233; RMG #959
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); OX(24), OHX(30);
+! Exact match found for rate rule [O;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+OX(24)+XCH2CH3(54)<=>OHX(30)+CH2CH2X(68) 4.179000e+21 0.000 43.039
+
+! Reaction index: Chemkin #234; RMG #961
+! Template reaction: Surface_Abstraction_Beta_double_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); OHX(30), H2OX(31);
+! Estimated using template [OH;R-C-H] for rate rule [OH;R-CH3]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_double_vdW
+OHX(30)+XCH2CH3(54)<=>H2OX(31)+CH2CH2X(68) 1.254000e+22 0.000 23.438
+
+! Reaction index: Chemkin #235; RMG #977
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); COX(23), CHOX(32);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+COX(23)+XCH2CH3(54)<=>CHOX(32)+CH2CH2X(68) 4.179000e+21 0.000 62.359
+
+! Reaction index: Chemkin #236; RMG #978
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); CH2X(25), CH3X(26);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+CH2X(25)+XCH2CH3(54)<=>CH3X(26)+CH2CH2X(68) 4.179000e+21 0.000 39.245
+
+! Reaction index: Chemkin #237; RMG #994
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), XCH2CH3(54); XCHCH3(64), CH2CH2X(68);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+XCHCH3(64)+XCH2CH3(54)<=>CH2CH2X(68)+XCH2CH3(54) 4.179000e+21 0.000 41.033
+
+! Reaction index: Chemkin #238; RMG #996
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCCH2(119), XCHCH2(67);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+XCCH2(119)+XCH2CH3(54)<=>XCHCH2(67)+CH2CH2X(68) 4.179000e+21 0.000 31.199
+
+! Reaction index: Chemkin #239; RMG #1001
+! Template reaction: Surface_Abstraction_Beta_double_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCHCH2(67), CH2CH2X(68);
+! Estimated using template [Abstracting;Donating] for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 2.0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_double_vdW
+XCHCH2(67)+XCH2CH3(54)<=>CH2CH2X(68)+CH2CH2X(68) 1.254000e+22 0.000 35.293
+
+! Reaction index: Chemkin #240; RMG #1003
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCHCH3(64), XCH2CH3(54); CH2CH2X(68), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+CH2CH2X(68)+XCHCH3(64)<=>XCHCH2(67)+XCH2CH3(54) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #241; RMG #1005
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), CH2CH2X(68); XCHXCH(123), XCH2XCH(122);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 6.0
+! family: Surface_Abstraction_Beta_vdW
+XCHXCH(123)+XCH2CH3(54)<=>XCH2XCH(122)+CH2CH2X(68) 8.358000e+21 0.000 43.874
+
+! Reaction index: Chemkin #242; RMG #1097
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCCO(106), XCHCO(111); CH2CH2X(68), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*=C=R] for rate rule [C-R;*=C=R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCCO(106)+CH2CH2X(68)<=>XCHCO(111)+XCHCH2(67) 3.068214e+22 -0.150 26.653
+
+! Reaction index: Chemkin #243; RMG #1141
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCCO(106), XCHCO(111); XCH2CH3(54), CH2CH2X(68);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+XCCO(106)+XCH2CH3(54)<=>XCHCO(111)+CH2CH2X(68) 4.179000e+21 0.000 57.591
+
+! Reaction index: Chemkin #244; RMG #114
+! Template reaction: Surface_Adsorption_Bidentate
+! Flux pairs: X(1), XCH2XCH2(66); X(1), XCH2XCH2(66); C2H4(18), XCH2XCH2(66);
+! Matched reaction 2 H2CCH2 + X_3 + X_4 <=> H2CCH2_2X in Surface_Adsorption_Bidentate/training
+! This reaction matched rate rule [Adsorbate;VacantSite1;VacantSite2]
+! family: Surface_Adsorption_Bidentate
+! metal: None
+X(1)+X(1)+C2H4(18)<=>XCH2XCH2(66) 6.900e-01 0.000 0.000
+ STICK
+
+! Reaction index: Chemkin #245; RMG #343
+! Template reaction: Surface_Bidentate_Dissociation
+! Flux pairs: CH2X(25), XCH2XCH2(66); CH2X(25), XCH2XCH2(66);
+! Matched reaction 5 CH2X_3 + CH2X_4 <=> H2CCH2_2X in Surface_Bidentate_Dissociation/training
+! This reaction matched rate rule [Combined]
+! family: Surface_Bidentate_Dissociation
+! metal: None
+CH2X(25)+CH2X(25)<=>XCH2XCH2(66) 9.890000e+23 0.000 36.807
+
+! Reaction index: Chemkin #246; RMG #786
+! Template reaction: Surface_Dissociation
+! Flux pairs: XCH2XCH2(66), HX(21); XCH2XCH2(66), XCH2XCH(122);
+! Matched reaction 61 H2CCH2_2X + Ni_4 <=> H2CCH_2X + HX_5 in Surface_Dissociation/training
+! This reaction matched rate rule [C-H_Bidentate;VacantSite]
+! family: Surface_Dissociation
+! metal: None
+X(1)+XCH2XCH2(66)<=>HX(21)+XCH2XCH(122) 2.225000e+21 0.000 14.101
+
+! Reaction index: Chemkin #247; RMG #788
+! Template reaction: Surface_Abstraction
+! Flux pairs: OHX(30), OX(24); XCH2XCH(122), XCH2XCH2(66);
+! From training reaction 24 used for C=*;*OH
+! Exact match found for rate rule [C=*;*OH]
+! Euclidian distance = 0
+! family: Surface_Abstraction
+OHX(30)+XCH2XCH(122)<=>OX(24)+XCH2XCH2(66) 1.390000e+21 0.101 4.541
+
+! Reaction index: Chemkin #248; RMG #791
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CH3X(26); XCH2XCH2(66), XCH2XCH(122);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction
+CH2X(25)+XCH2XCH2(66)<=>CH3X(26)+XCH2XCH(122) 1.485161e+22 0.000 11.768
+
+! Reaction index: Chemkin #249; RMG #794
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCH2XCH(122), XCH2XCH2(66); H2OX(31), OHX(30);
+! Estimated using template [O-R;*=C] for rate rule [O-R;*=C-2R]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2OX(31)+XCH2XCH(122)<=>OHX(30)+XCH2XCH2(66) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #250; RMG #802
+! Template reaction: Surface_Abstraction
+! Flux pairs: CH2X(25), CHX(27); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+CH2X(25)+XCH2XCH(122)<=>CHX(27)+XCH2XCH2(66) 8.360000e+21 0.000 17.576
+
+! Reaction index: Chemkin #251; RMG #804
+! Template reaction: Surface_Abstraction
+! Flux pairs: CX(28), CHX(27); XCH2XCH2(66), XCH2XCH(122);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C$*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction
+CX(28)+XCH2XCH2(66)<=>CHX(27)+XCH2XCH(122) 1.485161e+22 0.000 10.278
+
+! Reaction index: Chemkin #252; RMG #805
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: XCH2XCH(122), XCH2XCH2(66); H2X(29), HX(21);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [H-H;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction_vdW
+H2X(29)+XCH2XCH(122)<=>HX(21)+XCH2XCH2(66) 1.534107e+22 -0.150 26.653
+
+! Reaction index: Chemkin #253; RMG #806
+! Template reaction: Surface_Abstraction
+! Flux pairs: CHOX(32), COX(23); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+CHOX(32)+XCH2XCH(122)<=>COX(23)+XCH2XCH2(66) 4.180000e+21 0.000 14.832
+
+! Reaction index: Chemkin #254; RMG #812
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCOH(80), COX(23);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCOH(80)+XCH2XCH(122)<=>COX(23)+XCH2XCH2(66) 4.180000e+21 0.000 12.931
+
+! Reaction index: Chemkin #255; RMG #816
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHOH(81), XCOH(80); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHOH(81)+XCH2XCH(122)<=>XCOH(80)+XCH2XCH2(66) 4.180000e+21 0.000 16.836
+
+! Reaction index: Chemkin #256; RMG #817
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCHOH(81), CHOX(32);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-O-H]
+! Euclidian distance = 2.8284271247461903
+! family: Surface_Abstraction_Beta
+XCHOH(81)+XCH2XCH(122)<=>CHOX(32)+XCH2XCH2(66) 4.180000e+21 0.000 18.021
+
+! Reaction index: Chemkin #257; RMG #821
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCH2XCH(122), XCH2XCH2(66); XCCH3(96), XCCH2(119);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCCH3(96)+XCH2XCH(122)<=>XCCH2(119)+XCH2XCH2(66) 1.254000e+22 0.000 65.382
+
+! Reaction index: Chemkin #258; RMG #824
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCH3(64), XCCH3(96); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCH2XCH(122)+XCHCH3(64)<=>XCCH3(96)+XCH2XCH2(66) 4.180000e+21 0.000 15.589
+
+! Reaction index: Chemkin #259; RMG #825
+! Template reaction: Surface_Abstraction_Beta
+! Flux pairs: XCHCH3(64), XCH2XCH2(66); XCH2XCH(122), XCHCH2(67);
+! Estimated using template [Abstracting;Donating] for rate rule [C=*;R-CH3]
+! Euclidian distance = 3.605551275463989
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta
+XCH2XCH(122)+XCHCH3(64)<=>XCHCH2(67)+XCH2XCH2(66) 1.254000e+22 0.000 36.143
+
+! Reaction index: Chemkin #260; RMG #829
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCHXCH(123); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCH2XCH(122)+XCH2XCH(122)<=>XCHXCH(123)+XCH2XCH2(66) 7.425804e+21 0.000 11.054
+
+! Reaction index: Chemkin #261; RMG #830
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2XCH(122), XCXCH2(118); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*=C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCH2XCH(122)+XCH2XCH(122)<=>XCXCH2(118)+XCH2XCH2(66) 4.180000e+21 0.000 20.136
+
+! Reaction index: Chemkin #262; RMG #861
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCCH2(119), XCHCH2(67); XCH2XCH2(66), XCH2XCH(122);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction
+XCCH2(119)+XCH2XCH2(66)<=>XCHCH2(67)+XCH2XCH(122) 1.485161e+22 0.000 10.185
+
+! Reaction index: Chemkin #263; RMG #955
+! Template reaction: Surface_Dissociation_to_Bidentate
+! Flux pairs: XCH2CH3(54), XCH2XCH2(66); X(1), HX(21); X(1), HX(21);
+! Matched reaction 1 H2CCH3_X + Pt_5 + Pt_6 <=> H2CCH2_2X + H_X in Surface_Dissociation_to_Bidentate/training
+! This reaction matched rate rule [Combined;VacantSite1;VacantSite2]
+! family: Surface_Dissociation_to_Bidentate
+! metal: None
+X(1)+X(1)+XCH2CH3(54)<=>HX(21)+XCH2XCH2(66) 5.570000e+29 0.000 10.994
+
+! Reaction index: Chemkin #264; RMG #997
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCH2CH3(54), XCHCH3(64); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using average of templates [Abstracting;*-C-H] + [C;*C-H] for rate rule [C=*;*-CH-H]
+! Euclidian distance = 2.23606797749979
+! Multiplied by reaction path degeneracy 2.0
+! family: Surface_Abstraction
+XCH2XCH(122)+XCH2CH3(54)<=>XCHCH3(64)+XCH2XCH2(66) 7.425804e+21 0.000 11.613
+
+! Reaction index: Chemkin #265; RMG #998
+! Template reaction: Surface_Abstraction_Beta_vdW
+! Flux pairs: XCH2CH3(54), XCH2XCH2(66); XCH2XCH(122), CH2CH2X(68);
+! Exact match found for rate rule [Abstracting;R-CH3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: Surface_Abstraction_Beta_vdW
+XCH2XCH(122)+XCH2CH3(54)<=>CH2CH2X(68)+XCH2XCH2(66) 4.179000e+21 0.000 39.746
+
+! Reaction index: Chemkin #266; RMG #1089
+! Template reaction: Surface_Abstraction
+! Flux pairs: XCHCO(111), XCCO(106); XCH2XCH(122), XCH2XCH2(66);
+! Estimated using template [C;*C-H] for rate rule [C=*;*-C-H]
+! Euclidian distance = 1.4142135623730951
+! family: Surface_Abstraction
+XCHCO(111)+XCH2XCH(122)<=>XCCO(106)+XCH2XCH2(66) 4.180000e+21 0.000 16.709
+
+! Reaction index: Chemkin #267; RMG #1193
+! Template reaction: Surface_vdW_to_Bidentate
+! Flux pairs: X(1), XCH2XCH2(66); CH2CH2X(68), XCH2XCH2(66);
+! Matched reaction 2 H2CCH2X_vdW + X <=> H2CCH2_2X in Surface_vdW_to_Bidentate/training
+! This reaction matched rate rule [Combined;VacantSite]
+! family: Surface_vdW_to_Bidentate
+! metal: None
+X(1)+CH2CH2X(68)<=>XCH2XCH2(66) 1.780000e+21 0.000 2.868
+
+! Reaction index: Chemkin #268; RMG #1202
+! Template reaction: Surface_Abstraction_vdW
+! Flux pairs: CH2CH2X(68), XCH2XCH2(66); XCH2XCH(122), XCHCH2(67);
+! Estimated using template [AdsorbateVdW;*=C] for rate rule [C-R;*=C-2R]
+! Euclidian distance = 1.4142135623730951
+! Multiplied by reaction path degeneracy 4.0
+! family: Surface_Abstraction_vdW
+XCH2XCH(122)+CH2CH2X(68)<=>XCHCH2(67)+XCH2XCH2(66) 3.068214e+22 -0.150 26.653
+
+END
+
diff --git a/ipython/data/cpox_methane/input.py b/ipython/data/cpox_methane/input.py
new file mode 100644
index 00000000000..e25e7ac8e9a
--- /dev/null
+++ b/ipython/data/cpox_methane/input.py
@@ -0,0 +1,341 @@
+# Data sources
+database(
+ thermoLibraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC', 'DFT_QCI_thermo'],
+ reactionLibraries = ['Surface/CPOX_Pt/Deutschmann2006_adjusted', 'BurkeH2O2inArHe'],
+ seedMechanisms = ['Surface/CPOX_Pt/Deutschmann2006_adjusted'],
+ kineticsDepositories = ['training'],
+ kineticsFamilies = ['default', 'surface'],
+ kineticsEstimator = 'rate rules',
+)
+
+catalystProperties(
+ metal = 'Pt111'
+)
+
+# List of species
+species(
+ label='X',
+ reactive=True,
+ structure=adjacencyList("1 X u0"),
+)
+
+species(
+ label='CH4',
+ reactive=True,
+ structure=SMILES("[CH4]"),
+)
+species(
+ label='O2',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u1 p2 c0 {2,S}
+ 2 O u1 p2 c0 {1,S}
+ """),
+)
+
+species(
+ label='Ar',
+ reactive=False,
+ structure=SMILES("[Ar]"),
+)
+
+species(
+ label='CO2',
+ reactive=True,
+ structure=SMILES("O=C=O"),
+)
+
+species(
+ label='H2O',
+ reactive=True,
+ structure=SMILES("O"),
+)
+
+species(
+ label='H2',
+ reactive=True,
+ structure=SMILES("[H][H]"),
+)
+
+species(
+ label='CO',
+ reactive=True,
+ structure=SMILES("[C-]#[O+]"),
+)
+
+species(
+ label='C2H6',
+ reactive=True,
+ structure=SMILES("CC"),
+)
+
+species(
+ label='CH2O',
+ reactive=True,
+ structure=SMILES("C=O"),
+)
+
+species(
+ label='CH3',
+ reactive=True,
+ structure=SMILES("[CH3]"),
+)
+
+species(
+ label='C3H8',
+ reactive=True,
+ structure=SMILES("CCC"),
+)
+
+species(
+ label='H',
+ reactive=True,
+ structure=SMILES("[H]"),
+)
+
+species(
+ label='C2H5',
+ reactive=True,
+ structure=SMILES("C[CH2]"),
+)
+
+species(
+ label='CH3OH',
+ reactive=True,
+ structure=SMILES("CO"),
+)
+
+species(
+ label='HCO',
+ reactive=True,
+ structure=SMILES("[CH]=O"),
+)
+
+species(
+ label='CH3CHO',
+ reactive=True,
+ structure=SMILES("CC=O"),
+)
+
+species(
+ label='OH',
+ reactive=True,
+ structure=SMILES("[OH]"),
+)
+
+species(
+ label='C2H4',
+ reactive=True,
+ structure=SMILES("C=C"),
+)
+
+species(
+ label='CH3CH',
+ reactive=True,
+ structure=SMILES("[CH]C"),
+)
+
+species(
+ label='CH3OO',
+ reactive=True,
+ structure=SMILES("CO[O]"),
+)
+
+species(
+ label='HX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 H u0 p0 c0 {2,S}
+ 2 X u0 p0 c0 {1,S}
+ """),
+)
+
+species(
+ label='CO2X',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {3,D}
+ 2 O u0 p2 c0 {3,D}
+ 3 C u0 p0 c0 {1,D} {2,D}
+ 4 X u0 p0 c0
+ """),
+)
+
+species(
+ label='COX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {2,D}
+ 2 C u0 p0 c0 {1,D} {3,D}
+ 3 X u0 p0 c0 {2,D}
+ """),
+)
+
+forbidden(
+ label='CH4X',
+ structure=adjacencyList(
+ """
+ 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+ 2 H u0 p0 c0 {1,S}
+ 3 H u0 p0 c0 {1,S}
+ 4 H u0 p0 c0 {1,S}
+ 5 H u0 p0 c0 {1,S}
+ 6 X u0 p0 c0
+ """),
+)
+
+species(
+ label='OX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {2,D}
+ 2 X u0 p0 c0 {1,D}
+ """),
+)
+
+species(
+ label='CH2X',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 C u0 p0 c0 {2,S} {3,S} {4,D}
+ 2 H u0 p0 c0 {1,S}
+ 3 H u0 p0 c0 {1,S}
+ 4 X u0 p0 c0 {1,D}
+ """),
+)
+
+species(
+ label='CH3X',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+ 2 H u0 p0 c0 {1,S}
+ 3 H u0 p0 c0 {1,S}
+ 4 H u0 p0 c0 {1,S}
+ 5 X u0 p0 c0 {1,S}
+ """),
+)
+
+species(
+ label='CHX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 C u0 p0 c0 {2,S} {3,T}
+ 2 H u0 p0 c0 {1,S}
+ 3 X u0 p0 c0 {1,T}
+ """),
+)
+
+species(
+ label='CX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 C u0 p0 c0 {2,Q}
+ 2 X u0 p0 c0 {1,Q}
+ """),
+)
+
+species(
+ label='H2X',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 H u0 p0 c0 {2,S}
+ 2 H u0 p0 c0 {1,S}
+ 3 X u0 p0 c0
+ """),
+)
+
+species(
+ label='OHX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {2,S} {3,S}
+ 2 H u0 p0 c0 {1,S}
+ 3 X u0 p0 c0 {1,S}
+ """),
+)
+
+species(
+ label='H2OX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {2,S} {3,S}
+ 2 H u0 p0 c0 {1,S}
+ 3 H u0 p0 c0 {1,S}
+ 4 X u0 p0 c0
+ """),
+)
+
+species(
+ label='CHOX',
+ reactive=True,
+ structure=adjacencyList(
+ """
+ 1 O u0 p2 c0 {2,D}
+ 2 C u0 p0 c0 {1,D} {3,S} {4,S}
+ 3 H u0 p0 c0 {2,S}
+ 4 X u0 p0 c0 {2,S}
+ """),
+)
+
+surfaceReactor(
+ temperature=(1000,'K'),
+ initialPressure=(1.0, 'bar'),
+ initialGasMoleFractions={
+ "CH4": 0.108574,
+ "O2": 0.02088,
+ "Ar": 0.78547,
+ },
+ initialSurfaceCoverages={
+ "X": 1.0,
+ },
+ surfaceVolumeRatio=(1.e5, 'm^-1'),
+ terminationConversion = { "CH4":0.95,},
+ terminationTime=(10., 's'),
+# terminationConversion={'O2': 0.99,},
+ terminationRateRatio=0.01
+)
+
+simulator(
+ atol=1e-18,
+ rtol=1e-12,
+)
+
+model(
+ toleranceKeepInEdge=0.0,
+ toleranceMoveToCore=0.1,
+ toleranceInterruptSimulation=0.1,
+ maximumEdgeSpecies=500000,
+ maxNumSpecies=70, # stop after 70 species
+)
+
+options(
+ units='si',
+ saveRestartPeriod=None,
+ generateOutputHTML=False,
+ generatePlots=False,
+ saveEdgeSpecies=False,
+ saveSimulationProfiles=False,
+)
+
+generatedSpeciesConstraints(
+ allowed=['input species', 'reaction libraries', 'seed mechanisms'],
+ maximumSurfaceSites=2,
+ maximumCarbonAtoms=2,
+ maximumOxygenAtoms=2,
+ maximumNitrogenAtoms=2,
+ maximumSurfaceBondOrder=4,
+)
+
diff --git a/ipython/data/cpox_methane/species_dictionary.txt b/ipython/data/cpox_methane/species_dictionary.txt
new file mode 100644
index 00000000000..74ad7c60341
--- /dev/null
+++ b/ipython/data/cpox_methane/species_dictionary.txt
@@ -0,0 +1,343 @@
+X(1)
+1 X u0 p0 c0
+
+H2(6)
+1 H u0 p0 c0 {2,S}
+2 H u0 p0 c0 {1,S}
+
+HX(21)
+1 H u0 p0 c0 {2,S}
+2 X u0 p0 c0 {1,S}
+
+O2(3)
+multiplicity 3
+1 O u1 p2 c0 {2,S}
+2 O u1 p2 c0 {1,S}
+
+OX(24)
+1 O u0 p2 c0 {2,D}
+2 X u0 p0 c0 {1,D}
+
+CH4(2)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+
+OHX(30)
+1 O u0 p2 c0 {2,S} {3,S}
+2 H u0 p0 c0 {1,S}
+3 X u0 p0 c0 {1,S}
+
+CH3X(26)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 X u0 p0 c0 {1,S}
+
+H2OX(31)
+1 O u0 p2 c0 {2,S} {3,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 X u0 p0 c0
+
+H2O(5)
+1 O u0 p2 c0 {2,S} {3,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+
+CO2(4)
+1 O u0 p2 c0 {3,D}
+2 O u0 p2 c0 {3,D}
+3 C u0 p0 c0 {1,D} {2,D}
+
+CO2X(22)
+1 O u0 p2 c0 {3,D}
+2 O u0 p2 c0 {3,D}
+3 C u0 p0 c0 {1,D} {2,D}
+4 X u0 p0 c0
+
+COX(23)
+1 O u0 p2 c0 {2,D}
+2 C u0 p0 c0 {1,D} {3,D}
+3 X u0 p0 c0 {2,D}
+
+CO(7)
+1 O u0 p1 c+1 {2,T}
+2 C u0 p1 c-1 {1,T}
+
+CX(28)
+1 C u0 p0 c0 {2,Q}
+2 X u0 p0 c0 {1,Q}
+
+CH2X(25)
+1 C u0 p0 c0 {2,S} {3,S} {4,D}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 X u0 p0 c0 {1,D}
+
+CHX(27)
+1 C u0 p0 c0 {2,S} {3,T}
+2 H u0 p0 c0 {1,S}
+3 X u0 p0 c0 {1,T}
+
+Ar
+1 Ar u0 p4 c0
+
+Ne
+1 Ne u0 p4 c0
+
+N2
+1 N u0 p1 c0 {2,T}
+2 N u0 p1 c0 {1,T}
+
+C2H6(8)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+
+CH2O(9)
+1 O u0 p2 c0 {2,D}
+2 C u0 p0 c0 {1,D} {3,S} {4,S}
+3 H u0 p0 c0 {2,S}
+4 H u0 p0 c0 {2,S}
+
+CH3(10)
+multiplicity 2
+1 C u1 p0 c0 {2,S} {3,S} {4,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+
+C3H8(11)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+
+H(12)
+multiplicity 2
+1 H u1 p0 c0
+
+C2H5(13)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u1 p0 c0 {1,S} {6,S} {7,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+
+CH3OH(14)
+1 O u0 p2 c0 {2,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,S} {4,S} {5,S}
+3 H u0 p0 c0 {2,S}
+4 H u0 p0 c0 {2,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {1,S}
+
+HCO(15)
+multiplicity 2
+1 O u0 p2 c0 {2,D}
+2 C u1 p0 c0 {1,D} {3,S}
+3 H u0 p0 c0 {2,S}
+
+CH3CHO(16)
+1 O u0 p2 c0 {3,D}
+2 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S}
+3 C u0 p0 c0 {1,D} {2,S} {7,S}
+4 H u0 p0 c0 {2,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {3,S}
+
+OH(17)
+multiplicity 2
+1 O u1 p2 c0 {2,S}
+2 H u0 p0 c0 {1,S}
+
+C2H4(18)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+
+CH3CH(19)
+multiplicity 3
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u2 p0 c0 {1,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+
+CH3OO(20)
+multiplicity 2
+1 O u0 p2 c0 {2,S} {3,S}
+2 O u1 p2 c0 {1,S}
+3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S}
+4 H u0 p0 c0 {3,S}
+5 H u0 p0 c0 {3,S}
+6 H u0 p0 c0 {3,S}
+
+H2X(29)
+1 H u0 p0 c0 {2,S}
+2 H u0 p0 c0 {1,S}
+3 X u0 p0 c0
+
+CHOX(32)
+1 O u0 p2 c0 {2,D}
+2 C u0 p0 c0 {1,D} {3,S} {4,S}
+3 H u0 p0 c0 {2,S}
+4 X u0 p0 c0 {2,S}
+
+XCOH(80)
+1 O u0 p2 c0 {2,S} {3,S}
+2 C u0 p0 c0 {1,S} {4,T}
+3 H u0 p0 c0 {1,S}
+4 X u0 p0 c0 {2,T}
+
+XCHOH(81)
+1 O u0 p2 c0 {2,S} {4,S}
+2 C u0 p0 c0 {1,S} {3,S} {5,D}
+3 H u0 p0 c0 {2,S}
+4 H u0 p0 c0 {1,S}
+5 X u0 p0 c0 {2,D}
+
+XCXCH2(118)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,T}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 X u0 p0 c0 {1,S}
+6 X u0 p0 c0 {2,T}
+
+XCCH3(96)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,T}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 X u0 p0 c0 {2,T}
+
+XCHCH3(64)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,D}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 X u0 p0 c0 {2,D}
+
+XCCH2(119)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,D}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 X u0 p0 c0 {2,D}
+
+XCH2XCH(122)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S}
+2 C u0 p0 c0 {1,S} {5,S} {7,D}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 X u0 p0 c0 {1,S}
+7 X u0 p0 c0 {2,D}
+
+XCHCH2(67)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 X u0 p0 c0 {2,S}
+
+XCHXCH(123)
+1 C u0 p0 c0 {2,S} {3,S} {5,D}
+2 C u0 p0 c0 {1,S} {4,S} {6,D}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {2,S}
+5 X u0 p0 c0 {1,D}
+6 X u0 p0 c0 {2,D}
+
+XCHXO(70)
+1 O u0 p2 c0 {2,S} {5,S}
+2 C u0 p0 c0 {1,S} {3,S} {4,D}
+3 H u0 p0 c0 {2,S}
+4 X u0 p0 c0 {2,D}
+5 X u0 p0 c0 {1,S}
+
+XCH2CH3(54)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 X u0 p0 c0 {2,S}
+
+CHCHX(176)
+1 C u0 p0 c0 {2,T} {3,S}
+2 C u0 p0 c0 {1,T} {4,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {2,S}
+5 X u0 p0 c0
+
+XCHCO(111)
+1 O u0 p2 c0 {3,D}
+2 C u0 p0 c0 {3,D} {4,S} {5,S}
+3 C u0 p0 c0 {1,D} {2,D}
+4 H u0 p0 c0 {2,S}
+5 X u0 p0 c0 {2,S}
+
+XCCO(106)
+1 O u0 p2 c0 {3,D}
+2 C u0 p0 c0 {3,D} {4,D}
+3 C u0 p0 c0 {1,D} {2,D}
+4 X u0 p0 c0 {2,D}
+
+XCXCO(105)
+1 O u0 p2 c0 {2,D}
+2 C u0 p0 c0 {1,D} {3,S} {4,S}
+3 C u0 p0 c0 {2,S} {5,T}
+4 X u0 p0 c0 {2,S}
+5 X u0 p0 c0 {3,T}
+
+CH2CH2X(68)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+7 X u0 p0 c0
+
+XCH2XCH2(66)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
+2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+7 X u0 p0 c0 {1,S}
+8 X u0 p0 c0 {2,S}
+
diff --git a/ipython/data/fragment/chem_annotated.inp b/ipython/data/fragment/chem_annotated.inp
new file mode 100644
index 00000000000..2745eda6476
--- /dev/null
+++ b/ipython/data/fragment/chem_annotated.inp
@@ -0,0 +1,2584 @@
+ELEMENTS
+ H
+ D /2.014/
+ T /3.016/
+ C
+ CI /13.003/
+ O
+ OI /17.999/
+ N
+ Ne
+ Ar
+ He
+ Si
+ S
+ F
+ Cl
+ Br
+ I
+ X /195.083/
+END
+
+SPECIES
+ Ar ! Ar
+ He ! He
+ Ne ! Ne
+ N2 ! N2
+ RC10L(1) ! RC10L(1)
+ RC10(2) ! RC10(2)
+ LC10(3) ! LC10(3)
+ [CH2]C(C)CR(4) ! [CH2]C(C)CR(4)
+ C[CH]CC(C)L(5) ! C[CH]CC(C)L(5)
+ C[CH]CC(C)CR(6) ! C[CH]CC(C)CR(6)
+ [CH2]C(C)L(7) ! [CH2]C(C)L(7)
+ C8H15LR(8) ! CC(L)C[CH]CC(C)CR(8)
+ [CH3](9) ! [CH3](9)
+ C9H17LR(10) ! C[C](CC(C)L)CC(C)CR(10)
+ [H](11) ! [H](11)
+ C[CH]CR(12) ! C[CH]CR(12)
+ C6H12L(13) ! [CH2]C(C)CC(C)L(13)
+ C8H15LR(14) ! CC(L)CC(C)C[CH]CR(14)
+ [CH2]R(15) ! [CH2]R(15)
+ C8H16L(16) ! C[CH]CC(C)CC(C)L(16)
+ C9H17LR(17) ! C[C](CR)CC(C)CC(C)L(17)
+ C9H17LR(18) ! CC(L)CC(C)[CH]C(C)CR(18)
+ C7H14R(19) ! [CH2]C(C)CC(C)CR(19)
+ C[CH]L(20) ! C[CH]L(20)
+ C9H17LR(21) ! CC(L)[CH]C(C)CC(C)CR(21)
+ C8H15LR(22) ! CC(CR)CC(C)C[CH]L(22)
+ C9H17LR(23) ! C[C](L)CC(C)CC(C)CR(23)
+ C9H17LR(24) ! [CH2]C(CC(C)L)CC(C)CR(24)
+ C9H17LR(25) ! [CH2]C(CR)CC(C)CC(C)L(25)
+ C9H17LR(26) ! CC(L)CC(C)CC(C)[CH]R(26)
+ C9H17LR(27) ! [CH2]C(L)CC(C)CC(C)CR(27)
+ C6H11R(62) ! CC=CC(C)CR(62)
+ C6H11R(63) ! C=CCC(C)CR(63)
+ C3H6(64) ! C=CC(64)
+ C3H5L(65) ! C=C(C)L(65)
+ C2H3L(66) ! C=CL(66)
+ C4H7R(71) ! C=C(C)CR(71)
+ C3H5R(72) ! C=CCR(72)
+ C5H9L(73) ! CC=CC(C)L(73)
+ C5H9L(74) ! C=CCC(C)L(74)
+ C3H5R(83) ! CC=CR(83)
+ C6H11L(84) ! C=C(C)CC(C)L(84)
+ C7H13R(97) ! C=C(C)CC(C)CR(97)
+ C8H15L(111) ! C=CCC(C)CC(C)L(111)
+ C8H14LR(150) ! CC(L)CC(C)CC=CR(150)
+ C8H14LR(164) ! CC(L)CC=CC(C)CR(164)
+ C8H14LR(165) ! CC(L)C=CCC(C)CR(165)
+ [H][H](325) ! [H][H](325)
+END
+
+
+
+THERM ALL
+ 300.000 1000.000 5000.000
+
+! Thermo library: primaryThermoLibrary
+Ar Ar 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4
+
+! Thermo library: primaryThermoLibrary
+He He 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4
+
+! Thermo library: primaryThermoLibrary
+Ne Ne 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4
+
+! Thermo library: primaryThermoLibrary
+N2 N 2 G 200.000 6000.000 1000.00 1
+ 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2
+-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3
+ 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH)
+RC10L(1) C 9H 18 G 100.000 5000.000 1475.26 1
+ 7.59527265E+01 2.20398857E-01-9.14166768E-05 1.66861440E-08-1.13498798E-12 2
+-8.62393442E+04-3.30152007E+02-1.93244603E+01 4.78730632E-01-3.54079131E-04 3
+ 1.35382025E-07-2.12492715E-11-5.81274564E+04 1.66552930E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
+RC10(2) C 10H 21 G 100.000 5000.000 1541.53 1
+ 5.25819489E+01 1.41559382E-01-5.75049202E-05 1.03543459E-08-6.97198657E-13 2
+-6.81216300E+04-2.27869819E+02-1.12586918E+01 3.07216223E-01-2.18700371E-04 3
+ 8.00673293E-08-1.20031165E-11-4.84393645E+04 1.07752422E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
+LC10(3) C 10H 21 G 100.000 5000.000 1541.53 1
+ 5.25819489E+01 1.41559382E-01-5.75049202E-05 1.03543459E-08-6.97198657E-13 2
+-6.81216300E+04-2.27869819E+02-1.12586918E+01 3.07216223E-01-2.18700371E-04 3
+ 8.00673293E-08-1.20031165E-11-4.84393645E+04 1.07752422E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
+! CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
+[CH2]C(C)CR(4) C 4H 8 G 100.000 5000.000 1519.89 1
+ 3.92971374E+01 1.00629610E-01-4.00343235E-05 7.13856904E-09-4.78397325E-13 2
+-2.03296429E+04-1.61023714E+02-7.18966086E+00 2.22972289E-01-1.60776111E-04 3
+ 6.00993889E-08-9.18969923E-12-6.19869573E+03 8.27092992E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC)
+C[CH]CC(C)L(5) C 5H 10 G 100.000 5000.000 1528.47 1
+ 3.66312420E+01 1.15381069E-01-4.77500008E-05 8.67439859E-09-5.87080927E-13 2
+-2.33093871E+04-1.43929727E+02-7.07661102E+00 2.29762918E-01-1.59999915E-04 3
+ 5.76333835E-08-8.59482270E-12-9.94799145E+03 8.54797554E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
+! radical(RCCJC)
+C[CH]CC(C)CR(6) C 6H 12 G 100.000 5000.000 1504.79 1
+ 3.73110913E+01 1.24090851E-01-5.16915187E-05 9.42937394E-09-6.40146335E-13 2
+-2.63152347E+04-1.45476937E+02-7.63102161E+00 2.43555478E-01-1.70776350E-04 3
+ 6.21877044E-08-9.40524700E-12-1.27896009E+04 8.97083427E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
+[CH2]C(C)L(7) C 3H 6 G 100.000 5000.000 1541.84 1
+ 3.85264346E+01 9.20736962E-02-3.61811961E-05 6.40440071E-09-4.27052486E-13 2
+-1.72857330E+04-1.58965096E+02-6.64458457E+00 2.09262089E-01-1.50190573E-04 3
+ 5.57006673E-08-8.42021705E-12-3.35656520E+03 7.85165315E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
+! group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
+C8H15LR(8) C 8H 15 G 100.000 5000.000 1423.28 1
+ 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2
+-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3
+ 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4
+
+! Thermo library: DFT_QCI_thermo
+[CH3](9) C 1H 3 G 100.000 5000.000 660.43 1
+ 3.22169619E+00 5.22645935E-03-1.64124747E-06 2.58224223E-10-1.62579069E-14 2
+ 1.65213098E+04 3.53937882E+00 3.94800601E+00 8.27585327E-04 8.34937170E-06 3
+-9.82642428E-09 3.80107815E-12 1.64253714E+04 3.36651000E-01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
+C9H17LR(10) C 9H 17 G 100.000 5000.000 1391.83 1
+ 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2
+-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3
+ 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4
+
+! Thermo library: primaryThermoLibrary
+[H](11) H 1 G 100.000 5000.000 4879.80 1
+ 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2
+ 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3
+-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
+! radical(RCCJC)
+C[CH]CR(12) C 3H 6 G 100.000 5000.000 1547.64 1
+ 3.27302891E+01 1.02317768E-01-4.24205778E-05 7.70581989E-09-5.21142104E-13 2
+-1.58940257E+04-1.25870970E+02-5.70657287E+00 2.01658288E-01-1.38700604E-04 3
+ 4.91786288E-08-7.22032709E-12-3.99642449E+03 7.63522683E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-
+! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
+C6H12L(13) C 6H 12 G 100.000 5000.000 1508.31 1
+ 4.32997841E+01 1.13536220E-01-4.52795639E-05 8.08827093E-09-5.42830794E-13 2
+-2.77937839E+04-1.79666230E+02-8.55761506E+00 2.51060901E-01-1.82046723E-04 3
+ 6.85388536E-08-1.05624317E-11-1.21503963E+04 9.18285444E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
+C8H15LR(14) C 8H 15 G 100.000 5000.000 1423.28 1
+ 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2
+-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3
+ 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ)
+[CH2]R(15) C 1H 2 G 100.000 5000.000 1624.67 1
+ 3.64342628E+01 7.74271969E-02-3.08292238E-05 5.47405194E-09-3.64442149E-13 2
+-1.05305196E+04-1.52030890E+02-5.26003466E+00 1.80079407E-01-1.25603661E-04 3
+ 4.43634844E-08-6.34860309E-12 3.01747467E+03 6.93547392E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
+! radical(RCCJC)
+C8H16L(16) C 8H 16 G 100.000 5000.000 1494.00 1
+ 4.12792903E+01 1.37057210E-01-5.69716242E-05 1.03873719E-08-7.05271154E-13 2
+-3.37654895E+04-1.63926569E+02-9.00332728E+00 2.71682854E-01-1.92138095E-04 3
+ 7.07026920E-08-1.07982083E-11-1.87410614E+04 9.88442472E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
+C9H17LR(17) C 9H 17 G 100.000 5000.000 1391.83 1
+ 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2
+-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3
+ 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
+C9H17LR(18) C 9H 17 G 100.000 5000.000 1460.63 1
+ 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2
+-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3
+ 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-
+! Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Isobutyl)
+C7H14R(19) C 7H 14 G 100.000 5000.000 1490.65 1
+ 4.40905342E+01 1.22073944E-01-4.91281613E-05 8.82232750E-09-5.94222892E-13 2
+-3.08523513E+04-1.81849180E+02-9.10945862E+00 2.64833411E-01-1.92786068E-04 3
+ 7.30721050E-08-1.13699105E-11-1.49921675E+04 9.60470150E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJC)
+C[CH]L(20) C 2H 4 G 100.000 5000.000 1579.28 1
+ 3.21216796E+01 9.35183728E-02-3.84391970E-05 6.94332967E-09-4.67565700E-13 2
+-1.29304013E+04-1.24747436E+02-5.16084017E+00 1.87946471E-01-1.28125990E-04 3
+ 4.48026861E-08-6.46063403E-12-1.15436170E+03 7.21565463E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
+C9H17LR(21) C 9H 17 G 100.000 5000.000 1460.63 1
+ 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2
+-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3
+ 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(RCCJCC)
+C8H15LR(22) C 8H 15 G 100.000 5000.000 1423.28 1
+ 6.38491514E+01 2.27283841E-01-9.64768002E-05 1.78263378E-08-1.22222559E-12 2
+-5.48216363E+04-2.60521291E+02-1.74481515E+01 4.55765955E-01-3.37278499E-04 3
+ 1.30619914E-07-2.10347791E-11-3.16802137E+04 1.60385025E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Tertalkyl)
+C9H17LR(23) C 9H 17 G 100.000 5000.000 1391.83 1
+ 6.32703056E+01 2.38341075E-01-1.01906629E-04 1.89141652E-08-1.30110285E-12 2
+-5.85097935E+04-2.56014986E+02-1.79729931E+01 4.71824588E-01-3.53533001E-04 3
+ 1.39438176E-07-2.29493263E-11-3.58941544E+04 1.62798539E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
+C9H17LR(24) C 9H 17 G 100.000 5000.000 1430.10 1
+ 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2
+-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3
+ 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
+C9H17LR(25) C 9H 17 G 100.000 5000.000 1430.10 1
+ 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2
+-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3
+ 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cs_S)
+C9H17LR(26) C 9H 17 G 100.000 5000.000 1460.63 1
+ 7.19977683E+01 2.24243339E-01-9.42216375E-05 1.73117341E-08-1.18223982E-12 2
+-6.12541061E+04-3.05075733E+02-1.87004950E+01 4.72621942E-01-3.49292386E-04 3
+ 1.33730935E-07-2.11082267E-11-3.47585066E+04 1.66854569E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Isobutyl)
+C9H17LR(27) C 9H 17 G 100.000 5000.000 1430.10 1
+ 7.27036113E+01 2.21748671E-01-9.18410721E-05 1.67782653E-08-1.14345952E-12 2
+-5.97403375E+04-3.08286668E+02-1.91398093E+01 4.78637161E-01-3.61287547E-04 3
+ 1.42386424E-07-2.31015446E-11-3.34714644E+04 1.67660576E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
+! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
+! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
+C6H11R(62) C 6H 11 G 100.000 5000.000 1573.71 1
+ 4.44612679E+01 1.10025127E-01-4.45886531E-05 8.00876631E-09-5.37868282E-13 2
+-3.95104387E+04-1.88881337E+02-8.23868402E+00 2.43974906E-01-1.72263413E-04 3
+ 6.20948558E-08-9.12992986E-12-2.29234166E+04 8.92619424E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
+! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH)
+! + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C6H11R(63) C 6H 11 G 100.000 5000.000 1578.25 1
+ 4.59273942E+01 1.07895491E-01-4.34622377E-05 7.78257137E-09-5.21702119E-13 2
+-3.83265635E+04-1.96693498E+02-8.43352653E+00 2.45669303E-01-1.74403890E-04 3
+ 6.30929252E-08-9.28295722E-12-2.11673681E+04 9.03728539E+01 4
+
+! Thermo library: DFT_QCI_thermo
+C3H6(64) C 3H 6 G 100.000 5000.000 983.76 1
+ 5.36759614E+00 1.70742261E-02-6.35103242E-06 1.16618492E-09-8.27611661E-14 2
+-4.87156906E+02-4.54492517E+00 3.31910941E+00 8.17972674E-03 3.34731098E-05 3
+-4.36187016E-08 1.58210466E-11 7.49325825E+02 9.54029198E+00 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
+! group(Cds-CdsHH)
+C3H5L(65) C 3H 5 G 100.000 5000.000 1574.44 1
+ 3.87517154E+01 9.03517290E-02-3.64895374E-05 6.54422913E-09-4.39155717E-13 2
+-2.80190418E+04-1.63108661E+02-6.34472110E+00 2.04923426E-01-1.45644562E-04 3
+ 5.27639799E-08-7.77825453E-12-1.38187557E+04 7.49247053E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C2H3L(66) C 2H 3 G 100.000 5000.000 1653.47 1
+ 4.07472984E+01 7.74274736E-02-3.03141993E-05 5.32810523E-09-3.52143688E-13 2
+-2.45919534E+04-1.76104865E+02-6.01948094E+00 1.90563656E-01-1.32949521E-04 3
+ 4.67099316E-08-6.60896467E-12-9.12647378E+03 7.30356660E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH) + group(Cds-CdsHH)
+C4H7R(71) C 4H 7 G 100.000 5000.000 1549.92 1
+ 3.94537374E+01 9.90023581E-02-4.03890136E-05 7.28801432E-09-4.91219520E-13 2
+-3.10255334E+04-1.64764885E+02-6.88564511E+00 2.18594304E-01-1.56129389E-04 3
+ 5.70715027E-08-8.52124697E-12-1.66610987E+04 7.91018156E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) +
+! group(Cds-CdsHH)
+C3H5R(72) C 3H 5 G 100.000 5000.000 1625.44 1
+ 4.13862705E+01 8.61337492E-02-3.42268985E-05 6.07203761E-09-4.04046807E-13 2
+-2.75511245E+04-1.77368501E+02-6.54350498E+00 2.04082909E-01-1.43073676E-04 3
+ 5.07150799E-08-7.27035444E-12-1.19697442E+04 7.71481717E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) +
+! group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-
+! CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
+! CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH)
+C5H9L(73) C 5H 9 G 100.000 5000.000 1596.57 1
+ 4.37876098E+01 1.01341724E-01-4.06760002E-05 7.26278061E-09-4.85675394E-13 2
+-3.65219957E+04-1.87395970E+02-7.70226593E+00 2.30345109E-01-1.61878518E-04 3
+ 5.78731671E-08-8.41066926E-12-2.00808315E+04 8.51019874E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C5H9L(74) C 5H 9 G 100.000 5000.000 1600.37 1
+ 4.52410425E+01 9.92345921E-02-3.95628677E-05 7.03976654E-09-4.69775321E-13 2
+-3.53332330E+04-1.95137432E+02-7.89885179E+00 2.32054786E-01-1.64054110E-04 3
+ 5.88995829E-08-8.57106973E-12-1.83246846E+04 8.62196012E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsHH)
+C3H5R(83) C 3H 5 G 100.000 5000.000 1622.82 1
+ 3.96066557E+01 8.88863736E-02-3.57371619E-05 6.37743093E-09-4.25855325E-13 2
+-2.83510858E+04-1.67856510E+02-6.28922015E+00 2.02012181E-01-1.40300873E-04 3
+ 4.93328310E-08-7.04323137E-12-1.34548815E+04 7.57859249E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C6H11L(84) C 6H 11 G 100.000 5000.000 1534.15 1
+ 4.34034160E+01 1.11985713E-01-4.56734843E-05 8.24616922E-09-5.56305774E-13 2
+-3.88648973E+04-1.83099788E+02-8.25204974E+00 2.46667339E-01-1.77357083E-04 3
+ 6.54694174E-08-9.88121457E-12-2.30154472E+04 8.82153104E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-
+! CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-
+! CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-
+! Cds)HHH) + group(Cds-CdsCsCs) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C7H13R(97) C 7H 13 G 100.000 5000.000 1514.67 1
+ 4.41409116E+01 1.20598345E-01-4.95593696E-05 8.98807649E-09-6.08292176E-13 2
+-4.18950910E+04-1.84971837E+02-8.80080202E+00 2.60410006E-01-1.88018010E-04 3
+ 6.99297270E-08-1.06669406E-11-2.58573727E+04 9.24221816E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C8H15L(111) C 8H 15 G 100.000 5000.000 1561.44 1
+ 4.98473061E+01 1.20915231E-01-4.87623922E-05 8.74358294E-09-5.86975445E-13 2
+-4.57452467E+04-2.14850577E+02-9.79589225E+00 2.73705180E-01-1.95540038E-04 3
+ 7.14111061E-08-1.06205668E-11-2.71193561E+04 9.94710061E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-
+! ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH)
+! + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-
+! CdsHH) + group(Cds-CdsHH)
+C8H14LR(150) C 8H 14 G 100.000 5000.000 1490.73 1
+ 7.52218400E+01 2.05970078E-01-8.51480111E-05 1.55110364E-08-1.05344838E-12 2
+-6.93165308E+04-3.27177092E+02-1.84676554E+01 4.57366169E-01-3.38111248E-04 3
+ 1.28639993E-07-2.00258111E-11-4.13838084E+04 1.62226161E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
+! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C8H14LR(164) C 8H 14 G 100.000 5000.000 1491.31 1
+ 7.55987905E+01 2.05240558E-01-8.47033752E-05 1.54176021E-08-1.04663355E-12 2
+-7.01299116E+04-3.29234795E+02-1.85211475E+01 4.57690681E-01-3.38625655E-04 3
+ 1.28930056E-07-2.00757001E-11-4.20576331E+04 1.62454586E+02 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsCsCs) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-(Cds-Cds)CsCsCs) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) +
+! longDistanceInteraction_noncyclic(CsCs-TT) + group(Cs-CsCsCsH) + group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) +
+! group(Cs-(Cds-Cds)CsCsH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-(Cds-Cds)CsCsH) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) +
+! longDistanceInteraction_noncyclic(CsCs-ST) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-(Cds-Cds)CsHH) +
+! group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + group(Cs-CsHHH) +
+! group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) +
+! group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C8H14LR(165) C 8H 14 G 100.000 5000.000 1491.31 1
+ 7.55987905E+01 2.05240558E-01-8.47033752E-05 1.54176021E-08-1.04663355E-12 2
+-7.01299116E+04-3.29234795E+02-1.85211475E+01 4.57690681E-01-3.38625655E-04 3
+ 1.28930056E-07-2.00757001E-11-4.20576331E+04 1.62454586E+02 4
+
+! Thermo library: primaryThermoLibrary
+[H][H](325) H 2 G 100.000 5000.000 1959.07 1
+ 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2
+-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3
+ 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4
+
+END
+
+
+
+REACTIONS KCAL/MOLE MOLES
+
+! Reaction index: Chemkin #1; RMG #2
+! Template reaction: R_Recombination
+! Flux pairs: C[CH]CC(C)CR(6), RC10L(1); [CH2]C(C)L(7), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH2]C(C)L(7)+C[CH]CC(C)CR(6)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #2; RMG #1
+! Template reaction: R_Recombination
+! Flux pairs: [CH2]C(C)CR(4), RC10L(1); C[CH]CC(C)L(5), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH2]C(C)CR(4)+C[CH]CC(C)L(5)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #3; RMG #5
+! Template reaction: R_Recombination
+! Flux pairs: C[CH]CR(12), RC10L(1); C6H12L(13), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+C[CH]CR(12)+C6H12L(13)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #4; RMG #10
+! Template reaction: R_Recombination
+! Flux pairs: C7H14R(19), RC10L(1); C[CH]L(20), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+C[CH]L(20)+C7H14R(19)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #5; RMG #7
+! Template reaction: R_Recombination
+! Flux pairs: [CH2]R(15), RC10L(1); C8H16L(16), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH2]R(15)+C8H16L(16)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #6; RMG #12
+! Template reaction: R_Recombination
+! Flux pairs: C8H15LR(22), RC10L(1); [CH3](9), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH3](9)+C8H15LR(22)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #7; RMG #6
+! Template reaction: R_Recombination
+! Flux pairs: C8H15LR(14), RC10L(1); [CH3](9), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH3](9)+C8H15LR(14)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #8; RMG #3
+! Template reaction: R_Recombination
+! Flux pairs: C8H15LR(8), RC10L(1); [CH3](9), RC10L(1);
+! Estimated from node Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_Ext-2R-R_N-3R!H->O_Ext-3C-R in family R_Recombination.
+[CH3](9)+C8H15LR(8)<=>RC10L(1) 3.481290e+13 -0.158 0.000
+
+! Reaction index: Chemkin #9; RMG #54
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), C[CH]CC(C)CR(6); C[CH]CR(12), C[CH]CC(C)CR(6);
+! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H6(64)+C[CH]CR(12)<=>C[CH]CC(C)CR(6) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #10; RMG #120
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), [CH2]C(C)CR(4); [CH2]R(15), [CH2]C(C)CR(4);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]R(15)+C3H6(64)<=>[CH2]C(C)CR(4) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #11; RMG #124
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), C[CH]CC(C)L(5); C[CH]L(20), C[CH]CC(C)L(5);
+! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C[CH]L(20)+C3H6(64)<=>C[CH]CC(C)L(5) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #12; RMG #206
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), C6H12L(13); [CH2]C(C)L(7), C6H12L(13);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H6(64)+[CH2]C(C)L(7)<=>C6H12L(13) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #13; RMG #303
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), C7H14R(19); [CH2]C(C)CR(4), C7H14R(19);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H6(64)+[CH2]C(C)CR(4)<=>C7H14R(19) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #14; RMG #410
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H6(64), C8H16L(16); C[CH]CC(C)L(5), C8H16L(16);
+! From training reaction 239 used for Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-Cs\H3/H;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H6(64)+C[CH]CC(C)L(5)<=>C8H16L(16) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #15; RMG #207
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C5H9L(74), C6H12L(13); [CH3](9), C6H12L(13);
+! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C5H9L(74)<=>C6H12L(13) 1.580000e+02 2.966 6.337
+
+! Reaction index: Chemkin #16; RMG #725
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C5H9L(74), C8H15LR(8); C[CH]CR(12), C8H15LR(8);
+! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C[CH]CR(12)+C5H9L(74)<=>C8H15LR(8) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #17; RMG #304
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11R(63), C7H14R(19); [CH3](9), C7H14R(19);
+! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C6H11R(63)<=>C7H14R(19) 1.580000e+02 2.966 6.337
+
+! Reaction index: Chemkin #18; RMG #726
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11R(63), C8H15LR(8); C[CH]L(20), C8H15LR(8);
+! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C[CH]L(20)+C6H11R(63)<=>C8H15LR(8) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #19; RMG #56
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H3L(66), [CH2]C(C)L(7); [CH3](9), [CH2]C(C)L(7);
+! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C2H3L(66)<=>[CH2]C(C)L(7) 1.580000e+02 2.966 6.337
+
+! Reaction index: Chemkin #20; RMG #526
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H3L(66), C8H15LR(22); C[CH]CC(C)CR(6), C8H15LR(22);
+! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C2H3L(66)+C[CH]CC(C)CR(6)<=>C8H15LR(22) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #21; RMG #121
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H5R(72), [CH2]C(C)CR(4); [CH3](9), [CH2]C(C)CR(4);
+! From training reaction 2929 used for Cds-CsH_Cds-HH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C3H5R(72)<=>[CH2]C(C)CR(4) 1.580000e+02 2.966 6.337
+
+! Reaction index: Chemkin #22; RMG #643
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H5R(72), C8H15LR(14); C[CH]CC(C)L(5), C8H15LR(14);
+! Estimated using an average for rate rule [Cds-HH_Cds-CsH;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H5R(72)+C[CH]CC(C)L(5)<=>C8H15LR(14) 1.710000e+03 2.410 3.550
+
+! Reaction index: Chemkin #23; RMG #53
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11R(63), C[CH]CC(C)CR(6); [H](11), C[CH]CC(C)CR(6);
+! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C6H11R(63)<=>C[CH]CC(C)CR(6) 3.360000e+08 1.560 0.600
+
+! Reaction index: Chemkin #24; RMG #123
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C5H9L(74), C[CH]CC(C)L(5); [H](11), C[CH]CC(C)L(5);
+! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C5H9L(74)<=>C[CH]CC(C)L(5) 3.360000e+08 1.560 0.600
+
+! Reaction index: Chemkin #25; RMG #204
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H5R(72), C[CH]CR(12); [H](11), C[CH]CR(12);
+! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C3H5R(72)<=>C[CH]CR(12) 3.360000e+08 1.560 0.600
+
+! Reaction index: Chemkin #26; RMG #305
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H3L(66), C[CH]L(20); [H](11), C[CH]L(20);
+! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C2H3L(66)<=>C[CH]L(20) 3.360000e+08 1.560 0.600
+
+! Reaction index: Chemkin #27; RMG #203
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H5R(83), C[CH]CR(12); [H](11), C[CH]CR(12);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C3H5R(83)<=>C[CH]CR(12) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #28; RMG #1720
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CR(12), C3H5R(83); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C[CH]CR(12)<=>[H][H](325)+C3H5R(83) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #29; RMG #1721
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CR(12), C3H5R(72); [H](11), [H][H](325);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+[H](11)+C[CH]CR(12)<=>[H][H](325)+C3H5R(72) 1.225854e+27 -4.376 3.356
+
+! Reaction index: Chemkin #30; RMG #1724
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CC(C)CR(6), C6H11R(63); [H](11), [H][H](325);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+[H](11)+C[CH]CC(C)CR(6)<=>[H][H](325)+C6H11R(63) 1.225854e+27 -4.376 3.239
+
+! Reaction index: Chemkin #31; RMG #1731
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CC(C)L(5), C5H9L(74); [H](11), [H][H](325);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+[H](11)+C[CH]CC(C)L(5)<=>[H][H](325)+C5H9L(74) 1.225854e+27 -4.376 3.239
+
+! Reaction index: Chemkin #32; RMG #1735
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]L(20), C2H3L(66); [H](11), [H][H](325);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+[H](11)+C[CH]L(20)<=>[H][H](325)+C2H3L(66) 1.225854e+27 -4.376 3.356
+
+! Reaction index: Chemkin #33; RMG #1775
+! Template reaction: R_Recombination
+! Flux pairs: [H](11), [H][H](325); [H](11), [H][H](325);
+! Matched reaction 56 H + H <=> H2 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H]
+! family: R_Recombination
+[H](11)+[H](11)<=>[H][H](325) 5.450000e+10 0.000 1.500
+
+! Reaction index: Chemkin #34; RMG #55
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C3H5L(65), [CH2]C(C)L(7); [H](11), [CH2]C(C)L(7);
+! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
+! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C3H5L(65)<=>[CH2]C(C)L(7) 5.075183e+03 2.822 -1.156
+
+! Reaction index: Chemkin #35; RMG #1728
+! Template reaction: Disproportionation
+! Flux pairs: [CH2]C(C)L(7), C3H5L(65); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation.
+[H](11)+[CH2]C(C)L(7)<=>[H][H](325)+C3H5L(65) 4.559710e+12 -0.222 0.000
+
+! Reaction index: Chemkin #36; RMG #13
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(23), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(23)<=>RC10L(1) 1.625980e+13 0.255 0.000
+
+! Reaction index: Chemkin #37; RMG #956
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(23)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #38; RMG #1142
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(23)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #39; RMG #1359
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(23)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #40; RMG #1516
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(23)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #41; RMG #1695
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(23);
+! From training reaction 952 used for C/H/Cs3;H_rad
+! Exact match found for rate rule [C/H/Cs3;H_rad]
+! Euclidian distance = 0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(23) 4.760000e-01 4.340 2.000
+
+! Reaction index: Chemkin #42; RMG #1789
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(23)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #43; RMG #2014
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(23)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #44; RMG #2071
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C[CH]CC(C)CR(6), C9H17LR(23); C3H5L(65), C9H17LR(23);
+! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H5L(65)+C[CH]CC(C)CR(6)<=>C9H17LR(23) 5.575000e+02 2.470 3.895
+
+! Reaction index: Chemkin #45; RMG #8
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(17), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(17)<=>RC10L(1) 1.625980e+13 0.255 0.000
+
+! Reaction index: Chemkin #46; RMG #950
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(17)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #47; RMG #1136
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(17)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #48; RMG #1353
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(17)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #49; RMG #1510
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(17)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #50; RMG #1692
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(17);
+! From training reaction 952 used for C/H/Cs3;H_rad
+! Exact match found for rate rule [C/H/Cs3;H_rad]
+! Euclidian distance = 0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(17) 4.760000e-01 4.340 2.000
+
+! Reaction index: Chemkin #51; RMG #1783
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(17)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #52; RMG #2008
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(17)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #53; RMG #2179
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(17), RC10L(1);
+! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
+! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(17)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 5.420000e-04 4.340 4.900
+
+! Reaction index: Chemkin #54; RMG #119
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C4H7R(71), [CH2]C(C)CR(4); [H](11), [CH2]C(C)CR(4);
+! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
+! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C4H7R(71)<=>[CH2]C(C)CR(4) 5.075183e+03 2.822 -1.156
+
+! Reaction index: Chemkin #55; RMG #1718
+! Template reaction: Disproportionation
+! Flux pairs: [CH2]C(C)CR(4), C4H7R(71); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation.
+[H](11)+[CH2]C(C)CR(4)<=>[H][H](325)+C4H7R(71) 4.559710e+12 -0.222 0.000
+
+! Reaction index: Chemkin #56; RMG #2189
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C4H7R(71), C9H17LR(17); C[CH]CC(C)L(5), C9H17LR(17);
+! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C4H7R(71)+C[CH]CC(C)L(5)<=>C9H17LR(17) 5.575000e+02 2.470 3.895
+
+! Reaction index: Chemkin #57; RMG #2283
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(17)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #58; RMG #2289
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(23)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #59; RMG #4
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(10), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(10)<=>RC10L(1) 1.625980e+13 0.255 0.000
+
+! Reaction index: Chemkin #60; RMG #948
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(10)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #61; RMG #1134
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(10)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #62; RMG #1351
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(10)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #63; RMG #1508
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(10)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.616
+
+! Reaction index: Chemkin #64; RMG #1691
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(10);
+! From training reaction 952 used for C/H/Cs3;H_rad
+! Exact match found for rate rule [C/H/Cs3;H_rad]
+! Euclidian distance = 0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(10) 4.760000e-01 4.340 2.000
+
+! Reaction index: Chemkin #65; RMG #1781
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(10)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #66; RMG #2006
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(10)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #67; RMG #2178
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(10), RC10L(1);
+! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
+! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(10)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 5.420000e-04 4.340 4.900
+
+! Reaction index: Chemkin #68; RMG #2190
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(10), RC10L(1);
+! From training reaction 3026 used for C/H/Cs3;C_rad/Cs3
+! Exact match found for rate rule [C/H/Cs3;C_rad/Cs3]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(10)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 5.420000e-04 4.340 4.900
+
+! Reaction index: Chemkin #69; RMG #2281
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(10)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #70; RMG #205
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11L(84), C6H12L(13); [H](11), C6H12L(13);
+! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
+! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C6H11L(84)<=>C6H12L(13) 5.075183e+03 2.822 -1.156
+
+! Reaction index: Chemkin #71; RMG #1733
+! Template reaction: Disproportionation
+! Flux pairs: C6H12L(13), C6H11L(84); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation.
+[H](11)+C6H12L(13)<=>[H][H](325)+C6H11L(84) 4.559710e+12 -0.222 0.000
+
+! Reaction index: Chemkin #72; RMG #2488
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11L(84), C9H17LR(10); C[CH]CR(12), C9H17LR(10);
+! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C[CH]CR(12)+C6H11L(84)<=>C9H17LR(10) 5.575000e+02 2.470 3.895
+
+! Reaction index: Chemkin #73; RMG #2589
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(10)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #74; RMG #2591
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(17)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #75; RMG #2597
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(23)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #76; RMG #302
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C7H13R(97), C7H14R(19); [H](11), C7H14R(19);
+! From training reaction 102 used for Cds-CsCs_Cds-HH;HJ
+! Exact match found for rate rule [Cds-CsCs_Cds-HH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C7H13R(97)<=>C7H14R(19) 5.075183e+03 2.822 -1.156
+
+! Reaction index: Chemkin #77; RMG #1726
+! Template reaction: Disproportionation
+! Flux pairs: C7H14R(19), C7H13R(97); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_N-4CHNS->C in family Disproportionation.
+[H](11)+C7H14R(19)<=>[H][H](325)+C7H13R(97) 4.559710e+12 -0.222 0.000
+
+! Reaction index: Chemkin #78; RMG #2489
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C7H13R(97), C9H17LR(10); C[CH]L(20), C9H17LR(10);
+! From training reaction 2931 used for Cds-HH_Cds-CsCs;CsJ-CsCsH
+! Exact match found for rate rule [Cds-HH_Cds-CsCs;CsJ-CsCsH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C[CH]L(20)+C7H13R(97)<=>C9H17LR(10) 5.575000e+02 2.470 3.895
+
+! Reaction index: Chemkin #79; RMG #2846
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(10)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #80; RMG #2848
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(17)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #81; RMG #2854
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(23)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #82; RMG #16
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(26), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(26)<=>RC10L(1) 1.766370e+13 0.153 0.000
+
+! Reaction index: Chemkin #83; RMG #962
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(26)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #84; RMG #1148
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(26)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #85; RMG #1365
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(26)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #86; RMG #1522
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(26)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #87; RMG #1698
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(26);
+! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(26) 6.382500e+01 3.680 4.700
+
+! Reaction index: Chemkin #88; RMG #1795
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(26)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #89; RMG #1867
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H12L(13), C9H17LR(26); C3H5R(83), C9H17LR(26);
+! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H5R(83)+C6H12L(13)<=>C9H17LR(26) 1.020000e+03 2.410 6.230
+
+! Reaction index: Chemkin #90; RMG #2020
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(26)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #91; RMG #2184
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(26), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(26)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #92; RMG #2195
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(26), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(26)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #93; RMG #2295
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(26)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #94; RMG #2494
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(26), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(26)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #95; RMG #2603
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(26)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #96; RMG #2860
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(26)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #97; RMG #11
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(21), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(21)<=>RC10L(1) 1.766370e+13 0.153 0.000
+
+! Reaction index: Chemkin #98; RMG #954
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(21)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #99; RMG #1140
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(21)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #100; RMG #1357
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(21)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #101; RMG #1514
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(21)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #102; RMG #1694
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(21);
+! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(21) 6.382500e+01 3.680 4.700
+
+! Reaction index: Chemkin #103; RMG #1787
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(21)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #104; RMG #2012
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(21)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #105; RMG #2181
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(21), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(21)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #106; RMG #2192
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(21), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(21)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #107; RMG #2287
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(21)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #108; RMG #2491
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(21), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(21)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #109; RMG #2595
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(21)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #110; RMG #2852
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(21)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #111; RMG #3142
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(21), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(21)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.573748e-03 4.290 7.713
+
+! Reaction index: Chemkin #112; RMG #122
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C5H9L(73), C[CH]CC(C)L(5); [H](11), C[CH]CC(C)L(5);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C5H9L(73)<=>C[CH]CC(C)L(5) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #113; RMG #1730
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CC(C)L(5), C5H9L(73); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C[CH]CC(C)L(5)<=>[H][H](325)+C5H9L(73) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #114; RMG #3148
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C5H9L(73), C9H17LR(21); [CH2]C(C)CR(4), C9H17LR(21);
+! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]C(C)CR(4)+C5H9L(73)<=>C9H17LR(21) 1.020000e+03 2.410 6.230
+
+! Reaction index: Chemkin #115; RMG #3256
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(10)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #116; RMG #3258
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(17)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #117; RMG #3262
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(21)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #118; RMG #3264
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(23)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #119; RMG #3270
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(26)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #120; RMG #9
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(18), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R in family R_Recombination.
+[H](11)+C9H17LR(18)<=>RC10L(1) 1.766370e+13 0.153 0.000
+
+! Reaction index: Chemkin #121; RMG #952
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(18)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #122; RMG #1138
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(18)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #123; RMG #1355
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(18)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #124; RMG #1512
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(18)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 4.274
+
+! Reaction index: Chemkin #125; RMG #1693
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(18);
+! Estimated using an average for rate rule [C/H2/NonDeC;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(18) 6.382500e+01 3.680 4.700
+
+! Reaction index: Chemkin #126; RMG #1785
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(18)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #127; RMG #2010
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(18)<=>C3H5L(65)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #128; RMG #2180
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(18), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(18)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #129; RMG #2191
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(18), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(18)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #130; RMG #2285
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(18)<=>C4H7R(71)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #131; RMG #2490
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(18), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(18)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 1.277125e-04 4.473 6.257
+
+! Reaction index: Chemkin #132; RMG #2593
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(18)<=>C6H11L(84)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #133; RMG #2850
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-4C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(18)<=>C7H13R(97)+RC10L(1) 5.258140e+13 -0.550 0.000
+
+! Reaction index: Chemkin #134; RMG #3141
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(18), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(18)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.573748e-03 4.290 7.713
+
+! Reaction index: Chemkin #135; RMG #3151
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(18), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H/NonDeC]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(18)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.573748e-03 4.290 7.713
+
+! Reaction index: Chemkin #136; RMG #3260
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(18)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #137; RMG #52
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11R(62), C[CH]CC(C)CR(6); [H](11), C[CH]CC(C)CR(6);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C6H11R(62)<=>C[CH]CC(C)CR(6) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #138; RMG #1723
+! Template reaction: Disproportionation
+! Flux pairs: C[CH]CC(C)CR(6), C6H11R(62); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C[CH]CC(C)CR(6)<=>[H][H](325)+C6H11R(62) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #139; RMG #3546
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H11R(62), C9H17LR(18); [CH2]C(C)L(7), C9H17LR(18);
+! From training reaction 436 used for Cds-CsH_Cds-CsH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]C(C)L(7)+C6H11R(62)<=>C9H17LR(18) 1.020000e+03 2.410 6.230
+
+! Reaction index: Chemkin #140; RMG #3663
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(10)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #141; RMG #3665
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(17)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #142; RMG #3667
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(18)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #143; RMG #3669
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(21)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #144; RMG #3671
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(23)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #145; RMG #3677
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(26)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #146; RMG #14
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(24), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
+! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination.
+[H](11)+C9H17LR(24)<=>RC10L(1) 9.174990e+13 0.115 0.000
+
+! Reaction index: Chemkin #147; RMG #958
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(24)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #148; RMG #1006
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: [CH2]C(C)CR(4), C9H17LR(24); C5H9L(74), C9H17LR(24);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]C(C)CR(4)+C5H9L(74)<=>C9H17LR(24) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #149; RMG #1144
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(24)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #150; RMG #1225
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: [CH2]C(C)L(7), C9H17LR(24); C6H11R(63), C9H17LR(24);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]C(C)L(7)+C6H11R(63)<=>C9H17LR(24) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #151; RMG #1361
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(24)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #152; RMG #1518
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(24)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #153; RMG #1696
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(24);
+! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(24) 5.670000e+06 2.210 7.500
+
+! Reaction index: Chemkin #154; RMG #1791
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(24)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #155; RMG #2016
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(24)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #156; RMG #2182
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #157; RMG #2193
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #158; RMG #2291
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(24)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #159; RMG #2492
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #160; RMG #2599
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(24)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #161; RMG #2856
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(24)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #162; RMG #3143
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #163; RMG #3152
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #164; RMG #3266
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(24)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #165; RMG #3550
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(24), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #166; RMG #3673
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(24)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #167; RMG #17
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(27), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
+! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination.
+[H](11)+C9H17LR(27)<=>RC10L(1) 9.174990e+13 0.115 0.000
+
+! Reaction index: Chemkin #168; RMG #964
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(27)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #169; RMG #1150
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(27)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #170; RMG #1367
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(27)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #171; RMG #1419
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C7H14R(19), C9H17LR(27); C2H3L(66), C9H17LR(27);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C2H3L(66)+C7H14R(19)<=>C9H17LR(27) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #172; RMG #1524
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(27)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #173; RMG #1699
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(27);
+! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(27) 5.670000e+06 2.210 7.500
+
+! Reaction index: Chemkin #174; RMG #1797
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(27)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #175; RMG #2022
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(27)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #176; RMG #2185
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #177; RMG #2196
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #178; RMG #2297
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(27)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #179; RMG #2495
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #180; RMG #2605
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(27)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #181; RMG #2862
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(27)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #182; RMG #3145
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #183; RMG #3154
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #184; RMG #3272
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(27)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #185; RMG #3552
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(27), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(27)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #186; RMG #3679
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(27)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #187; RMG #4004
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(27); C9H17LR(24), RC10L(1);
+! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(27)+RC10L(1) 1.630301e-04 4.810 8.490
+
+! Reaction index: Chemkin #188; RMG #15
+! Template reaction: R_Recombination
+! Flux pairs: C9H17LR(25), RC10L(1); [H](11), RC10L(1);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_N-
+! Sp-4R!H=3C_Sp-4R!H-3C in family R_Recombination.
+[H](11)+C9H17LR(25)<=>RC10L(1) 9.174990e+13 0.115 0.000
+
+! Reaction index: Chemkin #189; RMG #960
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)L(5), C5H9L(74);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)L(5)+C9H17LR(25)<=>C5H9L(74)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #190; RMG #1146
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)CR(6), C6H11R(63);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CC(C)CR(6)+C9H17LR(25)<=>C6H11R(63)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #191; RMG #1363
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]L(20), C2H3L(66);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]L(20)+C9H17LR(25)<=>C2H3L(66)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #192; RMG #1520
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CR(12), C3H5R(72);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C[CH]CR(12)+C9H17LR(25)<=>C3H5R(72)+RC10L(1) 1.225854e+27 -4.376 3.834
+
+! Reaction index: Chemkin #193; RMG #1593
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C6H12L(13), C9H17LR(25); C3H5R(72), C9H17LR(25);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+C3H5R(72)+C6H12L(13)<=>C9H17LR(25) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #194; RMG #1697
+! Template reaction: H_Abstraction
+! Flux pairs: [H](11), [H][H](325); RC10L(1), C9H17LR(25);
+! Estimated using an average for rate rule [C/H3/Cs\TwoNonDe;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+[H](11)+RC10L(1)<=>[H][H](325)+C9H17LR(25) 5.670000e+06 2.210 7.500
+
+! Reaction index: Chemkin #195; RMG #1793
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CR(12), C3H5R(83);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CR(12)+C9H17LR(25)<=>C3H5R(83)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #196; RMG #2018
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); [CH2]C(C)L(7), C3H5L(65);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)L(7)+C9H17LR(25)<=>C3H5L(65)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #197; RMG #2183
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(23); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(23)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #198; RMG #2194
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(17); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(17)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #199; RMG #2293
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); [CH2]C(C)CR(4), C4H7R(71);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+[CH2]C(C)CR(4)+C9H17LR(25)<=>C4H7R(71)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #200; RMG #2493
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(10); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H/Cs3;C_rad/H2/Cs]
+! Euclidian distance = 0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(10)+RC10L(1) 2.434158e-04 4.470 6.593
+
+! Reaction index: Chemkin #201; RMG #2601
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C6H12L(13), C6H11L(84);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C6H12L(13)+C9H17LR(25)<=>C6H11L(84)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #202; RMG #2858
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C7H14R(19), C7H13R(97);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Ext-1R!H-R_4CHNS->C_Ext-4C-R_N-Sp-7R!H#4C_7R!H->C_Ext-7C-R in family Disproportionation.
+C7H14R(19)+C9H17LR(25)<=>C7H13R(97)+RC10L(1) 7.830000e+11 0.000 0.000
+
+! Reaction index: Chemkin #203; RMG #3144
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(26); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(26)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #204; RMG #3153
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(21); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(21)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #205; RMG #3268
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)L(5), C5H9L(73);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)L(5)+C9H17LR(25)<=>C5H9L(73)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #206; RMG #3551
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(18); C9H17LR(25), RC10L(1);
+! Estimated using an average for rate rule [C/H2/NonDeC;C_rad/H2/Cs]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(18)+RC10L(1) 2.163867e-03 4.290 7.536
+
+! Reaction index: Chemkin #207; RMG #3675
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C[CH]CC(C)CR(6), C6H11R(62);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C[CH]CC(C)CR(6)+C9H17LR(25)<=>C6H11R(62)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #208; RMG #4005
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(27); C9H17LR(25), RC10L(1);
+! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+C9H17LR(25)+RC10L(1)<=>C9H17LR(27)+RC10L(1) 1.630301e-04 4.810 8.490
+
+! Reaction index: Chemkin #209; RMG #4008
+! Template reaction: H_Abstraction
+! Flux pairs: RC10L(1), C9H17LR(25); C9H17LR(24), RC10L(1);
+! Estimated using template [C/H3/Cs;C_rad/H2/Cs] for rate rule [C/H3/Cs\TwoNonDe;C_rad/H2/Cs]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: H_Abstraction
+C9H17LR(24)+RC10L(1)<=>C9H17LR(25)+RC10L(1) 1.630301e-04 4.810 8.490
+
+! Reaction index: Chemkin #210; RMG #724
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(165), C8H15LR(8); [H](11), C8H15LR(8);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C8H14LR(165)<=>C8H15LR(8) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #211; RMG #1748
+! Template reaction: Disproportionation
+! Flux pairs: C8H15LR(8), C8H14LR(165); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C8H15LR(8)<=>[H][H](325)+C8H14LR(165) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #212; RMG #3149
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(165), C9H17LR(21); [CH3](9), C9H17LR(21);
+! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C8H14LR(165)<=>C9H17LR(21) 3.241000e+04 2.171 6.632
+
+! Reaction index: Chemkin #213; RMG #4024
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(10)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #214; RMG #4026
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(17)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #215; RMG #4028
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(18)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #216; RMG #4030
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(21)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #217; RMG #4032
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(23)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #218; RMG #4034
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(24)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #219; RMG #4036
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(25)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #220; RMG #4038
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(26)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #221; RMG #4040
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(8), C8H14LR(165);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(27)<=>C8H14LR(165)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #222; RMG #723
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(164), C8H15LR(8); [H](11), C8H15LR(8);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C8H14LR(164)<=>C8H15LR(8) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #223; RMG #1747
+! Template reaction: Disproportionation
+! Flux pairs: C8H15LR(8), C8H14LR(164); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C8H15LR(8)<=>[H][H](325)+C8H14LR(164) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #224; RMG #3547
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(164), C9H17LR(18); [CH3](9), C9H17LR(18);
+! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C8H14LR(164)<=>C9H17LR(18) 3.241000e+04 2.171 6.632
+
+! Reaction index: Chemkin #225; RMG #4446
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(10)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #226; RMG #4448
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(17)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #227; RMG #4450
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(18)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #228; RMG #4452
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(21)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #229; RMG #4454
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(23)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #230; RMG #4456
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(24)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #231; RMG #4458
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(25)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #232; RMG #4460
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(26)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #233; RMG #4462
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(8), C8H14LR(164);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(8)+C9H17LR(27)<=>C8H14LR(164)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #234; RMG #642
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(150), C8H15LR(14); [H](11), C8H15LR(14);
+! From training reaction 2935 used for Cds-CsH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C8H14LR(150)<=>C8H15LR(14) 8.892000e+09 1.073 2.175
+
+! Reaction index: Chemkin #235; RMG #1745
+! Template reaction: Disproportionation
+! Flux pairs: C8H15LR(14), C8H14LR(150); [H](11), [H][H](325);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+[H](11)+C8H15LR(14)<=>[H][H](325)+C8H14LR(150) 1.191692e+10 0.568 0.000
+
+! Reaction index: Chemkin #236; RMG #3140
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H14LR(150), C9H17LR(26); [CH3](9), C9H17LR(26);
+! From training reaction 2944 used for Cds-CsH_Cds-CsH;CsJ-HHH
+! Exact match found for rate rule [Cds-CsH_Cds-CsH;CsJ-HHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH3](9)+C8H14LR(150)<=>C9H17LR(26) 3.241000e+04 2.171 6.632
+
+! Reaction index: Chemkin #237; RMG #4901
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(10)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #238; RMG #4903
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(17)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #239; RMG #4905
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(18)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #240; RMG #4907
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(21)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #241; RMG #4909
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(23)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #242; RMG #4911
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(24)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #243; RMG #4913
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(25)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #244; RMG #4915
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(26)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #245; RMG #4917
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C8H15LR(14), C8H14LR(150);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 2.0
+C8H15LR(14)+C9H17LR(27)<=>C8H14LR(150)+RC10L(1) 1.547936e+12 0.025 0.000
+
+! Reaction index: Chemkin #246; RMG #409
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H15L(111), C8H16L(16); [H](11), C8H16L(16);
+! From training reaction 9 used for Cds-HH_Cds-CsH;HJ
+! Exact match found for rate rule [Cds-HH_Cds-CsH;HJ]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[H](11)+C8H15L(111)<=>C8H16L(16) 3.360000e+08 1.560 0.600
+
+! Reaction index: Chemkin #247; RMG #1739
+! Template reaction: Disproportionation
+! Flux pairs: C8H16L(16), C8H15L(111); [H](11), [H][H](325);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+[H](11)+C8H16L(16)<=>[H][H](325)+C8H15L(111) 1.225854e+27 -4.376 3.239
+
+! Reaction index: Chemkin #248; RMG #4007
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C8H15L(111), C9H17LR(25); [CH2]R(15), C9H17LR(25);
+! From training reaction 2938 used for Cds-CsH_Cds-HH;CsJ-CsHH
+! Exact match found for rate rule [Cds-CsH_Cds-HH;CsJ-CsHH]
+! Euclidian distance = 0
+! family: R_Addition_MultipleBond
+[CH2]R(15)+C8H15L(111)<=>C9H17LR(25) 1.502000e+00 3.105 5.819
+
+! Reaction index: Chemkin #249; RMG #5388
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(10), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(10)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #250; RMG #5390
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(17), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(17)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #251; RMG #5392
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(18), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(18)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #252; RMG #5394
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(21), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(21)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #253; RMG #5396
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(23), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(23)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.474
+
+! Reaction index: Chemkin #254; RMG #5398
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(24), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(24)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #255; RMG #5400
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(25), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(25)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+! Reaction index: Chemkin #256; RMG #5402
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(26), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(26)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 4.138
+
+! Reaction index: Chemkin #257; RMG #5404
+! Template reaction: Disproportionation
+! Flux pairs: C9H17LR(27), RC10L(1); C8H16L(16), C8H15L(111);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C in family Disproportionation.
+! Multiplied by reaction path degeneracy 3.0
+C8H16L(16)+C9H17LR(27)<=>C8H15L(111)+RC10L(1) 1.225854e+27 -4.376 3.707
+
+END
+
diff --git a/ipython/data/fragment/species_dictionary.txt b/ipython/data/fragment/species_dictionary.txt
new file mode 100644
index 00000000000..e17b3cf5dba
--- /dev/null
+++ b/ipython/data/fragment/species_dictionary.txt
@@ -0,0 +1,952 @@
+Ar
+1 Ar u0 p4 c0
+
+He
+1 He u0 p1 c0
+
+Ne
+1 Ne u0 p4 c0
+
+N2
+1 N u0 p1 c0 {2,T}
+2 N u0 p1 c0 {1,T}
+
+RC10L(1)
+1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
+2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S}
+3 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S}
+4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
+5 C u0 p0 c0 {4,S} {9,S} {12,S} {13,S}
+6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
+7 C u0 p0 c0 {2,S} {25,S} {26,S} {27,S}
+8 C u0 p0 c0 {2,S} {18,S} {28,S} {29,S}
+9 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 L u0 p0 c0 {5,S}
+13 H u0 p0 c0 {5,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {3,S}
+17 H u0 p0 c0 {3,S}
+18 R u0 p0 c0 {8,S}
+19 H u0 p0 c0 {9,S}
+20 H u0 p0 c0 {9,S}
+21 H u0 p0 c0 {9,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {6,S}
+24 H u0 p0 c0 {6,S}
+25 H u0 p0 c0 {7,S}
+26 H u0 p0 c0 {7,S}
+27 H u0 p0 c0 {7,S}
+28 H u0 p0 c0 {8,S}
+29 H u0 p0 c0 {8,S}
+
+RC10(2)
+1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S}
+2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S}
+3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
+4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S}
+6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
+8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S}
+9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S}
+10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {1,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 R u0 p0 c0 {10,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {9,S}
+29 H u0 p0 c0 {9,S}
+30 H u0 p0 c0 {9,S}
+31 H u0 p0 c0 {10,S}
+32 H u0 p0 c0 {10,S}
+
+LC10(3)
+1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S}
+2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S}
+3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
+4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S}
+6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
+8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S}
+9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S}
+10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {1,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 L u0 p0 c0 {10,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {9,S}
+29 H u0 p0 c0 {9,S}
+30 H u0 p0 c0 {9,S}
+31 H u0 p0 c0 {10,S}
+32 H u0 p0 c0 {10,S}
+
+[CH2]C(C)CR(4)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
+4 C u1 p0 c0 {1,S} {12,S} {13,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 R u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {4,S}
+13 H u0 p0 c0 {4,S}
+
+C[CH]CR(12)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
+3 C u1 p0 c0 {1,S} {2,S} {10,S}
+4 H u0 p0 c0 {1,S}
+5 R u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+
+C[CH]CC(C)CR(6)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
+2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S}
+3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
+4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
+5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
+6 C u1 p0 c0 {2,S} {5,S} {19,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 R u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {4,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+
+C7H14R(19)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
+2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
+3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
+4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
+5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
+6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
+7 C u1 p0 c0 {2,S} {21,S} {22,S}
+8 H u0 p0 c0 {1,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {4,S}
+13 R u0 p0 c0 {4,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {5,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {6,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {7,S}
+22 H u0 p0 c0 {7,S}
+
+[CH2]C(C)L(7)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 C u1 p0 c0 {1,S} {9,S} {10,S}
+4 L u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+
+C[CH]CC(C)L(5)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
+3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
+4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
+5 C u1 p0 c0 {2,S} {4,S} {16,S}
+6 L u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {4,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+
+C6H12L(13)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
+3 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S}
+4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
+5 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S}
+6 C u1 p0 c0 {1,S} {18,S} {19,S}
+7 H u0 p0 c0 {1,S}
+8 L u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {5,S}
+13 H u0 p0 c0 {5,S}
+14 H u0 p0 c0 {5,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {4,S}
+18 H u0 p0 c0 {6,S}
+19 H u0 p0 c0 {6,S}
+
+C[CH]L(20)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u1 p0 c0 {1,S} {6,S} {7,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 L u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+
+[CH2]R(15)
+multiplicity 2
+1 C u1 p0 c0 {2,S} {3,S} {4,S}
+2 H u0 p0 c0 {1,S}
+3 R u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+
+C8H16L(16)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
+2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S}
+3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
+4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
+6 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S}
+7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
+8 C u1 p0 c0 {4,S} {7,S} {25,S}
+9 H u0 p0 c0 {1,S}
+10 L u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {2,S}
+13 H u0 p0 c0 {2,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {6,S}
+17 H u0 p0 c0 {6,S}
+18 H u0 p0 c0 {6,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {5,S}
+21 H u0 p0 c0 {5,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+
+[CH3](9)
+multiplicity 2
+1 C u1 p0 c0 {2,S} {3,S} {4,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+
+C8H15LR(22)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S}
+2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S}
+3 C u0 p0 c0 {1,S} {2,S} {11,S} {12,S}
+4 C u0 p0 c0 {1,S} {8,S} {13,S} {14,S}
+5 C u0 p0 c0 {2,S} {15,S} {16,S} {17,S}
+6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
+7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
+8 C u1 p0 c0 {4,S} {24,S} {25,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {4,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {5,S}
+16 R u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {6,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {7,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 L u0 p0 c0 {8,S}
+25 H u0 p0 c0 {8,S}
+
+C8H15LR(14)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
+2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
+3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
+8 C u1 p0 c0 {4,S} {7,S} {25,S}
+9 H u0 p0 c0 {1,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 L u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 R u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+
+C8H15LR(8)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S}
+2 C u0 p0 c0 {4,S} {7,S} {10,S} {11,S}
+3 C u0 p0 c0 {1,S} {8,S} {12,S} {13,S}
+4 C u0 p0 c0 {2,S} {8,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
+8 C u1 p0 c0 {3,S} {4,S} {25,S}
+9 H u0 p0 c0 {1,S}
+10 L u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+
+C3H6(64)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,D} {7,S}
+3 C u0 p0 c0 {2,D} {8,S} {9,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+
+C5H9L(74)
+1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S}
+3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
+4 C u0 p0 c0 {2,S} {5,D} {13,S}
+5 C u0 p0 c0 {4,D} {14,S} {15,S}
+6 L u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {4,S}
+14 H u0 p0 c0 {5,S}
+15 H u0 p0 c0 {5,S}
+
+C6H11R(63)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
+2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
+3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
+4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
+5 C u0 p0 c0 {2,S} {6,D} {16,S}
+6 C u0 p0 c0 {5,D} {17,S} {18,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 R u0 p0 c0 {4,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {6,S}
+18 H u0 p0 c0 {6,S}
+
+C2H3L(66)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 L u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+
+C3H5R(72)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,D} {7,S}
+3 C u0 p0 c0 {2,D} {8,S} {9,S}
+4 R u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+
+[H](11)
+multiplicity 2
+1 H u1 p0 c0
+
+C3H5R(83)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,D} {7,S}
+3 C u0 p0 c0 {2,D} {8,S} {9,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 R u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+
+[H][H](325)
+1 H u0 p0 c0 {2,S}
+2 H u0 p0 c0 {1,S}
+
+C3H5L(65)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,D} {7,S}
+3 C u0 p0 c0 {2,D} {8,S} {9,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 L u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+
+C9H17LR(23)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S}
+2 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S}
+5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
+8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S}
+9 C u1 p0 c0 {4,S} {8,S} {28,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {1,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 L u0 p0 c0 {9,S}
+
+C9H17LR(17)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
+2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S}
+3 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
+4 C u0 p0 c0 {1,S} {9,S} {15,S} {16,S}
+5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
+6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S}
+7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S}
+8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S}
+9 C u1 p0 c0 {4,S} {7,S} {8,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {2,S}
+13 L u0 p0 c0 {3,S}
+14 H u0 p0 c0 {3,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {7,S}
+24 R u0 p0 c0 {7,S}
+25 H u0 p0 c0 {7,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {8,S}
+
+C4H7R(71)
+1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S}
+2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S}
+3 C u0 p0 c0 {1,S} {2,S} {4,D}
+4 C u0 p0 c0 {3,D} {11,S} {12,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 R u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {4,S}
+12 H u0 p0 c0 {4,S}
+
+C9H17LR(10)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
+2 C u0 p0 c0 {4,S} {7,S} {11,S} {12,S}
+3 C u0 p0 c0 {1,S} {9,S} {13,S} {14,S}
+4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S}
+5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
+6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
+7 C u0 p0 c0 {2,S} {23,S} {24,S} {25,S}
+8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S}
+9 C u1 p0 c0 {3,S} {4,S} {8,S}
+10 H u0 p0 c0 {1,S}
+11 L u0 p0 c0 {2,S}
+12 H u0 p0 c0 {2,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {3,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {5,S}
+18 R u0 p0 c0 {5,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {7,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {8,S}
+
+C6H11L(84)
+1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
+2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
+3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
+4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
+5 C u0 p0 c0 {2,S} {4,S} {6,D}
+6 C u0 p0 c0 {5,D} {17,S} {18,S}
+7 L u0 p0 c0 {1,S}
+8 H u0 p0 c0 {1,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {6,S}
+18 H u0 p0 c0 {6,S}
+
+C7H13R(97)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
+2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S}
+3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
+5 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
+6 C u0 p0 c0 {2,S} {5,S} {7,D}
+7 C u0 p0 c0 {6,D} {20,S} {21,S}
+8 H u0 p0 c0 {1,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 R u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {7,S}
+21 H u0 p0 c0 {7,S}
+
+C9H17LR(26)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
+2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
+5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
+6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
+7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
+8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
+9 C u1 p0 c0 {2,S} {27,S} {28,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 L u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {7,S}
+19 H u0 p0 c0 {7,S}
+20 H u0 p0 c0 {7,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {6,S}
+24 H u0 p0 c0 {8,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {9,S}
+28 R u0 p0 c0 {9,S}
+
+C9H17LR(21)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
+2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {8,S} {9,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
+8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S}
+9 C u1 p0 c0 {2,S} {4,S} {28,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 L u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {9,S}
+
+C5H9L(73)
+1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
+3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {5,D} {15,S}
+5 C u0 p0 c0 {3,S} {4,D} {14,S}
+6 L u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {5,S}
+15 H u0 p0 c0 {4,S}
+
+C9H17LR(18)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
+2 C u0 p0 c0 {5,S} {6,S} {9,S} {10,S}
+3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
+4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
+5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
+8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S}
+9 C u1 p0 c0 {1,S} {2,S} {28,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {1,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 L u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {7,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {8,S}
+28 H u0 p0 c0 {9,S}
+
+C6H11R(62)
+1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
+2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
+3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
+4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
+5 C u0 p0 c0 {1,S} {6,D} {18,S}
+6 C u0 p0 c0 {4,S} {5,D} {17,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {2,S}
+11 R u0 p0 c0 {3,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 H u0 p0 c0 {6,S}
+18 H u0 p0 c0 {5,S}
+
+C9H17LR(24)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S}
+2 C u0 p0 c0 {3,S} {4,S} {9,S} {11,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
+5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
+6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
+7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
+8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
+9 C u1 p0 c0 {2,S} {27,S} {28,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 L u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {6,S}
+19 R u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {7,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {8,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {9,S}
+28 H u0 p0 c0 {9,S}
+
+C9H17LR(27)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {8,S} {11,S}
+2 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
+5 C u0 p0 c0 {4,S} {9,S} {16,S} {17,S}
+6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
+7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
+8 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
+9 C u1 p0 c0 {5,S} {27,S} {28,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {1,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 L u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {6,S}
+19 R u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {7,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {8,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {9,S}
+28 H u0 p0 c0 {9,S}
+
+C9H17LR(25)
+multiplicity 2
+1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
+2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
+3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
+5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
+6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
+7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
+8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
+9 C u1 p0 c0 {2,S} {27,S} {28,S}
+10 H u0 p0 c0 {1,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 L u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {7,S}
+19 R u0 p0 c0 {7,S}
+20 H u0 p0 c0 {7,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {6,S}
+24 H u0 p0 c0 {8,S}
+25 H u0 p0 c0 {8,S}
+26 H u0 p0 c0 {8,S}
+27 H u0 p0 c0 {9,S}
+28 H u0 p0 c0 {9,S}
+
+C8H14LR(165)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
+2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S}
+3 C u0 p0 c0 {6,S} {8,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
+5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
+6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S}
+7 C u0 p0 c0 {2,S} {8,D} {23,S}
+8 C u0 p0 c0 {3,S} {7,D} {24,S}
+9 H u0 p0 c0 {1,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 L u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {7,S}
+24 H u0 p0 c0 {8,S}
+
+C8H14LR(164)
+1 C u0 p0 c0 {4,S} {5,S} {7,S} {9,S}
+2 C u0 p0 c0 {3,S} {6,S} {10,S} {11,S}
+3 C u0 p0 c0 {2,S} {8,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
+5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
+6 C u0 p0 c0 {2,S} {20,S} {21,S} {22,S}
+7 C u0 p0 c0 {1,S} {8,D} {24,S}
+8 C u0 p0 c0 {3,S} {7,D} {23,S}
+9 H u0 p0 c0 {1,S}
+10 L u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 H u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {4,S}
+17 R u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {5,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {6,S}
+23 H u0 p0 c0 {8,S}
+24 H u0 p0 c0 {7,S}
+
+C8H14LR(150)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
+2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
+3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {4,S} {8,D} {22,S}
+8 C u0 p0 c0 {7,D} {23,S} {24,S}
+9 H u0 p0 c0 {1,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 L u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 R u0 p0 c0 {8,S}
+24 H u0 p0 c0 {8,S}
+
+C8H15L(111)
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
+2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
+3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
+4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
+5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
+6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S}
+7 C u0 p0 c0 {4,S} {8,D} {22,S}
+8 C u0 p0 c0 {7,D} {23,S} {24,S}
+9 H u0 p0 c0 {1,S}
+10 H u0 p0 c0 {2,S}
+11 H u0 p0 c0 {2,S}
+12 L u0 p0 c0 {3,S}
+13 H u0 p0 c0 {3,S}
+14 H u0 p0 c0 {4,S}
+15 H u0 p0 c0 {4,S}
+16 H u0 p0 c0 {5,S}
+17 H u0 p0 c0 {5,S}
+18 H u0 p0 c0 {5,S}
+19 H u0 p0 c0 {6,S}
+20 H u0 p0 c0 {6,S}
+21 H u0 p0 c0 {6,S}
+22 H u0 p0 c0 {7,S}
+23 H u0 p0 c0 {8,S}
+24 H u0 p0 c0 {8,S}
+
diff --git a/ipython/data/parse_source/chem_annotated.inp b/ipython/data/parse_source/chem_annotated.inp
new file mode 100644
index 00000000000..6f23b5fff33
--- /dev/null
+++ b/ipython/data/parse_source/chem_annotated.inp
@@ -0,0 +1,791 @@
+ELEMENTS
+ H
+ D /2.014/
+ T /3.016/
+ C
+ CI /13.003/
+ O
+ OI /17.999/
+ N
+ Ne
+ Ar
+ He
+ Si
+ S
+ F
+ Cl
+ Br
+ I
+ X /195.083/
+END
+
+SPECIES
+ Ar ! Ar
+ He ! He
+ Ne ! Ne
+ N2 ! N2
+ ethane(1) ! ethane(1)
+ C(3) ! C(3)
+ [CH3](4) ! [CH3](4)
+ C[CH2](5) ! C[CH2](5)
+ [H](6) ! [H](6)
+ C2H4(9) ! C=C(9)
+ [H][H](13) ! [H][H](13)
+ C2H3(14) ! [CH]=C(14)
+ [CH2]CC(16) ! [CH2]CC(16)
+ C#C(20) ! C#C(20)
+ C4H7(24) ! [CH2]CC=C(24)
+ C4H6(25) ! C=CC=C(25)
+ C2H2(27) ! [C]=C(27)
+ C3H5(28) ! [CH]=CC(28)
+ C4H7(29) ! [CH]=CCC(29)
+ C4H5(31) ! [CH]=CC=C(31)
+ [CH2]C1CC1(46) ! [CH2]C1CC1(46)
+ C4H6(47) ! [CH2]C=C[CH2](47)
+ C4H7(49) ! [CH2]C=CC(49)
+ CC1[CH]C1(86) ! CC1[CH]C1(86)
+ C4H6(115) ! C=C=CC(115)
+ C4H6(200) ! C1=CCC1(200)
+END
+
+
+
+THERM ALL
+ 300.000 1000.000 5000.000
+
+! Thermo library: primaryThermoLibrary
+Ar Ar 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 4.37967000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 4.37967000E+00 4
+
+! Thermo library: primaryThermoLibrary
+He He 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 9.28724000E-01 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 9.28724000E-01 4
+
+! Thermo library: primaryThermoLibrary
+Ne Ne 1 G 200.000 6000.000 1000.00 1
+ 2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
+-7.45375000E+02 3.35532000E+00 2.50000000E+00 0.00000000E+00 0.00000000E+00 3
+ 0.00000000E+00 0.00000000E+00-7.45375000E+02 3.35532000E+00 4
+
+! Thermo library: primaryThermoLibrary
+N2 N 2 G 200.000 6000.000 1000.00 1
+ 2.95258000E+00 1.39690000E-03-4.92632000E-07 7.86010000E-11-4.60755000E-15 2
+-9.23949000E+02 5.87189000E+00 3.53101000E+00-1.23661000E-04-5.02999000E-07 3
+ 2.43531000E-09-1.40881000E-12-1.04698000E+03 2.96747000E+00 4
+
+! Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH)
+ethane(1) C 2H 6 G 100.000 5000.000 954.51 1
+ 4.58983307E+00 1.41507715E-02-4.75962003E-06 8.60293917E-10-6.21716348E-14 2
+-1.27217663E+04-3.61740116E+00 3.78033462E+00-3.24262480E-03 5.52380397E-05 3
+-6.38580942E-08 2.28636966E-11-1.16203409E+04 5.21033695E+00 4
+
+! Thermo library: primaryThermoLibrary
+C(3) C 1H 4 G 100.000 5000.000 1084.12 1
+ 9.08259430E-01 1.14540962E-02-4.57174412E-06 8.29193029E-10-5.66316007E-14 2
+-9.71997168E+03 1.39931301E+01 4.20541633E+00-5.35558620E-03 2.51123688E-05 3
+-2.13763364E-08 5.97526027E-12-1.01619434E+04-9.21283218E-01 4
+
+! Thermo library: primaryThermoLibrary + radical(CH3)
+[CH3](4) C 1H 3 G 100.000 5000.000 1337.63 1
+ 3.54145742E+00 4.76786844E-03-1.82148431E-06 3.28876598E-10-2.22545603E-14 2
+ 1.62239579E+04 1.66035007E+00 3.91546761E+00 1.84154318E-03 3.48741774E-06 3
+-3.32747622E-09 8.49956934E-13 1.62856394E+04 3.51741472E-01 4
+
+! Thermo group additivity estimation: group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ)
+C[CH2](5) C 2H 5 G 100.000 5000.000 900.31 1
+ 5.15617570E+00 9.43128370E-03-1.81949426E-06 2.21204013E-10-1.43488224E-14 2
+ 1.20640959E+04-2.91080147E+00 3.82184856E+00-3.43376314E-03 5.09263340E-05 3
+-6.20220235E-08 2.37077381E-11 1.30660124E+04 7.61638915E+00 4
+
+! Thermo library: primaryThermoLibrary
+[H](6) H 1 G 100.000 5000.000 4879.80 1
+ 4.28461071E+00-1.45494649E-03 4.44804306E-07-6.04359642E-11 3.07921551E-15 2
+ 2.37230923E+04-1.18931307E+01 2.50000000E+00-3.01680531E-12 3.74582141E-15 3
+-1.50856878E-18 1.86626471E-22 2.54742178E+04-4.44972899E-01 4
+
+! Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH)
+C2H4(9) C 2H 4 G 100.000 5000.000 940.45 1
+ 5.20303125E+00 7.82435984E-03-2.12679614E-06 3.79681495E-10-2.94663143E-14 2
+ 3.93626600E+03-6.62431874E+00 3.97973264E+00-7.57545379E-03 5.52967870E-05 3
+-6.36214316E-08 2.31763871E-11 5.07746136E+03 4.04626943E+00 4
+
+! Thermo library: primaryThermoLibrary
+[H][H](13) H 2 G 100.000 5000.000 1959.07 1
+ 2.78818509E+00 5.87615921E-04 1.59022130E-07-5.52762536E-11 4.34328120E-15 2
+-5.96155632E+02 1.12618494E-01 3.43536393E+00 2.12711953E-04-2.78628671E-07 3
+ 3.40270013E-10-7.76039045E-14-1.03135983E+03-3.90841661E+00 4
+
+! Thermo group additivity estimation: group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P)
+C2H3(14) C 2H 3 G 100.000 5000.000 931.96 1
+ 5.44796766E+00 4.98355762E-03-1.08820555E-06 1.79836782E-10-1.45095844E-14 2
+ 3.38297738E+04-4.87809437E+00 3.90670476E+00-4.06240187E-03 3.86779713E-05 3
+-4.62975954E-08 1.72900180E-11 3.47971783E+04 6.09789219E+00 4
+
+! Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(RCCJ)
+[CH2]CC(16) C 3H 7 G 100.000 5000.000 995.41 1
+ 5.69429543E+00 1.96033646E-02-7.42051054E-06 1.35883288E-09-9.56217643E-14 2
+ 8.87585429E+03-4.32881807E+00 3.09191659E+00 1.32172046E-02 2.75849094E-05 3
+-3.90850849E-08 1.43314166E-11 1.02284116E+04 1.24057745E+01 4
+
+! Thermo group additivity estimation: group(Ct-CtH) + group(Ct-CtH)
+C#C(20) C 2H 2 G 100.000 5000.000 888.63 1
+ 5.76206627E+00 2.37155039E-03-1.49560503E-07-2.19208164E-11 2.21824257E-15 2
+ 2.50944416E+04-9.82620311E+00 3.03573895E+00 7.71249669E-03 2.53452132E-06 3
+-1.08127265E-08 5.50729325E-12 2.58526447E+04 4.54464265E+00 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(RCCJ)
+C4H7(24) C 4H 7 G 100.000 5000.000 1000.94 1
+ 7.59467430E+00 2.06426717E-02-7.89794754E-06 1.45967155E-09-1.03415744E-13 2
+ 2.08073587E+04-1.19152615E+01 2.68062512E+00 2.10824413E-02 2.02127906E-05 3
+-3.64249680E-08 1.41447652E-11 2.27528007E+04 1.66008169E+01 4
+
+! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH)
+C4H6(25) C 4H 6 G 100.000 5000.000 940.96 1
+ 1.10824653E+01 1.17733243E-02-3.11402426E-06 5.37717081E-10-4.10599112E-14 2
+ 8.42123083E+03-3.51702703E+01 2.68201492E+00 1.69327425E-02 3.73631471E-05 3
+-6.26456621E-08 2.59135984E-11 1.13546034E+04 1.20325528E+01 4
+
+! Thermo group additivity estimation: group(Cds-CdsHH) + group(CdJ2_singlet-Cds)
+C2H2(27) C 2H 2 G 100.000 5000.000 1423.27 1
+ 4.43042444E+00 4.87756740E-03-1.79374105E-06 3.04084635E-10-1.96651556E-14 2
+ 4.78744081E+04-1.67101717E-01 3.69251626E+00 6.06584960E-03-2.11278263E-06 3
+ 1.63599807E-11 1.07663446E-13 4.81741497E+04 3.96842441E+00 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cds_P)
+C3H5(28) C 3H 5 G 100.000 5000.000 997.88 1
+ 5.66470838E+00 1.44326145E-02-5.46738219E-06 1.00157959E-09-7.04860271E-14 2
+ 2.93870866E+04-4.48510726E+00 3.23408227E+00 1.18208205E-02 1.70306145E-05 3
+-2.64366956E-08 9.91221259E-12 3.04873065E+04 1.03182757E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-CsHHH) + group(Cds-CdsCsH) + group(Cds-CdsHH) + radical(Cds_P)
+C4H7(29) C 4H 7 G 100.000 5000.000 999.92 1
+ 8.06561312E+00 2.00624551E-02-7.60828718E-06 1.39783386E-09-9.86863849E-14 2
+ 2.57831831E+04-1.54390019E+01 2.56531795E+00 2.39246087E-02 1.38111964E-05 3
+-3.10264137E-08 1.25442192E-11 2.77900544E+04 1.56311519E+01 4
+
+! Thermo group additivity estimation: group(Cds-Cds(Cds-Cds)H) + group(Cds-Cds(Cds-Cds)H) + group(Cds-CdsHH) + group(Cds-CdsHH) + radical(Cds_P)
+C4H5(31) C 4H 5 G 100.000 5000.000 935.57 1
+ 1.13227232E+01 8.94057323E-03-2.08011664E-06 3.38985538E-10-2.61959472E-14 2
+ 3.83166741E+04-3.40909155E+01 2.61017827E+00 2.04313104E-02 2.07968037E-05 3
+-4.53919901E-08 2.00578838E-11 4.10742695E+04 1.33867867E+01 4
+
+! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) + radical(Isobutyl)
+[CH2]C1CC1(46) C 4H 7 G 100.000 5000.000 926.05 1
+ 1.02343998E+01 1.41135874E-02-2.99950204E-06 4.56679945E-10-3.49849430E-14 2
+ 2.27934484E+04-2.92335596E+01 3.04744695E+00 5.45470301E-03 7.53345975E-05 3
+-1.02231846E-07 4.01852003E-11 2.58269353E+04 1.40788186E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + radical(Allyl_P) +
+! radical(Allyl_P)
+C4H6(47) C 4H 6 G 100.000 5000.000 961.82 1
+ 9.92836169E+00 1.51090416E-02-5.13573052E-06 9.43600337E-10-6.92759988E-14 2
+ 3.02830457E+04-2.74898954E+01 2.65641760E+00 1.89333016E-02 3.01003591E-05 3
+-5.20366396E-08 2.11241927E-11 3.29038783E+04 1.36623384E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + radical(Allyl_P)
+C4H7(49) C 4H 7 G 100.000 5000.000 998.56 1
+ 7.82810550E+00 2.08399209E-02-7.96744898E-06 1.47335591E-09-1.04523771E-13 2
+ 1.26472001E+04-1.58825850E+01 2.64211980E+00 2.15955473E-02 2.09678537E-05 3
+-3.79203098E-08 1.47841987E-11 1.46809437E+04 1.41266987E+01 4
+
+! Thermo group additivity estimation: group(Cs-CsCsCsH) + group(Cs-CsCsHH) + group(Cs-CsCsHH) + group(Cs-CsHHH) + ring(Cyclopropane) +
+! radical(cyclopropane)
+CC1[CH]C1(86) C 4H 7 G 100.000 5000.000 963.98 1
+ 7.79150450E+00 1.93089313E-02-6.71839525E-06 1.25740716E-09-9.31100316E-14 2
+ 2.58575046E+04-1.60924149E+01 3.19574786E+00 4.34960008E-03 6.95104879E-05 3
+-8.80809345E-08 3.25732031E-11 2.83246377E+04 1.41117218E+01 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)HHH) + group(Cds-CdsCsH) + group(Cd-(Cd)CddHH) + group(Cdd-CdsCds)
+C4H6(115) C 4H 6 G 100.000 5000.000 1038.23 1
+ 6.96170373E+00 1.77754624E-02-7.11726623E-06 1.33754803E-09-9.49358139E-14 2
+ 1.67162686E+04-2.17802726E+01 2.84853532E+00 1.92563603E-02 1.14985894E-05 3
+-2.39434432E-08 9.20174537E-12 1.83446214E+04 1.94649608E+00 4
+
+! Thermo group additivity estimation: group(Cs-(Cds-Cds)CsHH) + group(Cs-(Cds-Cds)CsHH) + group(Cds-CdsCsH) + group(Cds-CdsCsH) + ring(Cyclobutene)
+C4H6(200) C 4H 6 G 100.000 5000.000 950.24 1
+ 9.42747389E+00 1.39643334E-02-4.06886448E-06 7.75020190E-10-6.20410141E-14 2
+ 1.43342935E+04-2.81802850E+01 3.39619667E+00-3.43704755E-03 9.09457500E-05 3
+-1.13273491E-07 4.24106127E-11 1.74123953E+04 1.07744587E+01 4
+
+END
+
+
+
+REACTIONS KCAL/MOLE MOLES
+
+! Reaction index: Chemkin #1; RMG #2
+! Template reaction: R_Recombination
+! Flux pairs: [CH3](4), ethane(1); [CH3](4), ethane(1);
+! Matched reaction 9 CH3 + CH3 <=> C2H6 in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing]
+! family: R_Recombination
+[CH3](4)+[CH3](4)<=>ethane(1) 9.450000e+14 -0.538 0.135
+
+! Reaction index: Chemkin #2; RMG #5
+! Template reaction: H_Abstraction
+! Flux pairs: [CH3](4), C(3); ethane(1), C[CH2](5);
+! Matched reaction 215 C2H6 + CH3_r3 <=> C2H5b + CH4 in H_Abstraction/training
+! This reaction matched rate rule [C/H3/Cs\H3;C_methyl]
+! family: H_Abstraction
+[CH3](4)+ethane(1)<=>C(3)+C[CH2](5) 3.500000e+01 3.440 10.384
+
+! Reaction index: Chemkin #3; RMG #3
+! Template reaction: R_Recombination
+! Flux pairs: C[CH2](5), ethane(1); [H](6), ethane(1);
+! Matched reaction 58 H + C2H5 <=> C2H6-2 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN]
+! family: R_Recombination
+[H](6)+C[CH2](5)<=>ethane(1) 1.000000e+14 0.000 0.000
+
+! Reaction index: Chemkin #4; RMG #19
+! Template reaction: R_Recombination
+! Flux pairs: [CH3](4), C(3); [H](6), C(3);
+! Matched reaction 57 H + CH3 <=> CH4 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_N-2CNO->O]
+! family: R_Recombination
+[H](6)+[CH3](4)<=>C(3) 1.930000e+14 0.000 0.270
+
+! Reaction index: Chemkin #5; RMG #9
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H4(9), C[CH2](5); [H](6), C[CH2](5);
+! Matched reaction 2541 H + C2H4 <=> C2H5-2 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-HH_Cds-HH;HJ]
+! family: R_Addition_MultipleBond
+[H](6)+C2H4(9)<=>C[CH2](5) 4.620000e+08 1.640 1.010
+
+! Reaction index: Chemkin #6; RMG #11
+! Template reaction: Disproportionation
+! Flux pairs: C[CH2](5), C2H4(9); [CH3](4), C(3);
+! Matched reaction 5 CH3_r1 + C2H5 <=> CH4 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_Sp-2R!H-1C_2R!H->C]
+! family: Disproportionation
+[CH3](4)+C[CH2](5)<=>C(3)+C2H4(9) 6.570000e+14 -0.680 0.000
+
+! Reaction index: Chemkin #7; RMG #15
+! Template reaction: Disproportionation
+! Flux pairs: C[CH2](5), C2H4(9); C[CH2](5), ethane(1);
+! Matched reaction 6 C2H5 + C2H5-2 <=> C2H6 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C]
+! family: Disproportionation
+C[CH2](5)+C[CH2](5)<=>C2H4(9)+ethane(1) 6.900000e+13 -0.350 0.000
+
+! Reaction index: Chemkin #8; RMG #20
+! Template reaction: H_Abstraction
+! Flux pairs: [H](6), [H][H](13); ethane(1), C[CH2](5);
+! Matched reaction 210 C2H6 + H <=> C2H5b + H2_p in H_Abstraction/training
+! This reaction matched rate rule [C/H3/Cs\H3;H_rad]
+! family: H_Abstraction
+[H](6)+ethane(1)<=>[H][H](13)+C[CH2](5) 1.150000e+08 1.900 7.530
+
+! Reaction index: Chemkin #9; RMG #22
+! Template reaction: Disproportionation
+! Flux pairs: C[CH2](5), C2H4(9); [H](6), [H][H](13);
+! Matched reaction 4 H + C2H5 <=> H2 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_4R->H_Sp-2R!H-1R!H_2R!H-u1_N-1R!H->O_1CN->C_2R!H->C]
+! family: Disproportionation
+[H](6)+C[CH2](5)<=>[H][H](13)+C2H4(9) 1.083000e+13 0.000 0.000
+
+! Reaction index: Chemkin #10; RMG #24
+! Template reaction: H_Abstraction
+! Flux pairs: [H](6), [H][H](13); C(3), [CH3](4);
+! Matched reaction 186 CH4b + H <=> CH3_p1 + H2_p in H_Abstraction/training
+! This reaction matched rate rule [C_methane;H_rad]
+! family: H_Abstraction
+[H](6)+C(3)<=>[H][H](13)+[CH3](4) 4.100000e+03 3.156 8.755
+
+! Reaction index: Chemkin #11; RMG #25
+! Template reaction: R_Recombination
+! Flux pairs: [H](6), [H][H](13); [H](6), [H][H](13);
+! Matched reaction 56 H + H <=> H2 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_2CHNO->H]
+! family: R_Recombination
+[H](6)+[H](6)<=>[H][H](13) 5.450000e+10 0.000 1.500
+
+! Reaction index: Chemkin #12; RMG #26
+! Template reaction: R_Recombination
+! Flux pairs: C2H3(14), C2H4(9); [H](6), C2H4(9);
+! Matched reaction 60 H + C2H3 <=> C2H4 in R_Recombination/training
+! This reaction matched rate rule [Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O]
+! family: R_Recombination
+[H](6)+C2H3(14)<=>C2H4(9) 1.210000e+14 0.000 0.000
+
+! Reaction index: Chemkin #13; RMG #29
+! Template reaction: H_Abstraction
+! Flux pairs: C(3), [CH3](4); C2H3(14), C2H4(9);
+! Matched reaction 842 C2H3 + CH4b <=> C2H4 + CH3_p23 in H_Abstraction/training
+! This reaction matched rate rule [Cd/H2/NonDeC;C_methyl]
+! family: H_Abstraction
+C(3)+C2H3(14)<=>[CH3](4)+C2H4(9) 2.236000e-02 4.340 5.700
+
+! Reaction index: Chemkin #14; RMG #33
+! Template reaction: H_Abstraction
+! Flux pairs: ethane(1), C[CH2](5); C2H3(14), C2H4(9);
+! Matched reaction 774 C2H3 + C2H6 <=> C2H4 + C2H5 in H_Abstraction/training
+! This reaction matched rate rule [Cd/H2/NonDeC;C_rad/H2/Cs\H3]
+! family: H_Abstraction
+C2H3(14)+ethane(1)<=>C2H4(9)+C[CH2](5) 1.080000e-03 4.550 3.500
+
+! Reaction index: Chemkin #15; RMG #35
+! Template reaction: H_Abstraction
+! Flux pairs: [H](6), [H][H](13); C2H4(9), C2H3(14);
+! Matched reaction 217 C2H4 + H <=> C2H3_p + H2_p in H_Abstraction/training
+! This reaction matched rate rule [Cd/H2/NonDeC;H_rad]
+! family: H_Abstraction
+[H](6)+C2H4(9)<=>[H][H](13)+C2H3(14) 2.400000e+02 3.620 11.266
+
+! Reaction index: Chemkin #16; RMG #37
+! Template reaction: Disproportionation
+! Flux pairs: C2H3(14), C2H4(9); C[CH2](5), C2H4(9);
+! Matched reaction 11 C2H3-2 + C2H5 <=> C2H4-2 + C2H4 in Disproportionation/training
+! This reaction matched rate rule [Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_N-Sp-5CS-4CCNSS]
+! family: Disproportionation
+C2H3(14)+C[CH2](5)<=>C2H4(9)+C2H4(9) 4.560000e+14 -0.700 0.000
+
+! Reaction index: Chemkin #17; RMG #39
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C#C(20), C2H3(14); [H](6), C2H3(14);
+! Matched reaction 2697 H + C2H2 <=> C2H3-2 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Ct-H_Ct-H;HJ]
+! family: R_Addition_MultipleBond
+[H](6)+C#C(20)<=>C2H3(14) 1.030000e+09 1.640 2.110
+
+! Reaction index: Chemkin #18; RMG #42
+! Template reaction: Disproportionation
+! Flux pairs: C2H3(14), C#C(20); [CH3](4), C(3);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_4CNS->C_1CNS->C_N-Sp-2R!H-1C
+! Multiplied by reaction path degeneracy 2.0
+[CH3](4)+C2H3(14)<=>C(3)+C#C(20) 1.620000e+06 1.870 0.000
+
+! Reaction index: Chemkin #19; RMG #47
+! Template reaction: Disproportionation
+! Flux pairs: C2H3(14), C#C(20); C[CH2](5), ethane(1);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS
+! Multiplied by reaction path degeneracy 2.0
+C2H3(14)+C[CH2](5)<=>C#C(20)+ethane(1) 2.106380e+13 -0.251 0.000
+
+! Reaction index: Chemkin #20; RMG #54
+! Template reaction: Disproportionation
+! Flux pairs: C2H3(14), C#C(20); [H](6), [H][H](13);
+! Estimated from node Root_4R->H_N-Sp-2R!H-1R!H_1R!H->C
+! Multiplied by reaction path degeneracy 2.0
+[H](6)+C2H3(14)<=>[H][H](13)+C#C(20) 4.800000e+08 1.500 0.000
+
+! Reaction index: Chemkin #21; RMG #61
+! Template reaction: Disproportionation
+! Flux pairs: C2H3(14), C#C(20); C2H3(14), C2H4(9);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O
+! Multiplied by reaction path degeneracy 2.0
+C2H3(14)+C2H3(14)<=>C#C(20)+C2H4(9) 2.959700e+13 -0.312 0.000
+
+! Reaction index: Chemkin #22; RMG #67
+! Template reaction: Singlet_Carbene_Intra_Disproportionation
+! Flux pairs: C2H2(27), C#C(20);
+! Estimated from node Root
+! Multiplied by reaction path degeneracy 2.0
+C2H2(27)<=>C#C(20) 7.903180e+18 -1.971 9.786
+
+! Reaction index: Chemkin #23; RMG #30
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: [CH3](4), [CH2]CC(16); C2H4(9), [CH2]CC(16);
+! Matched reaction 2902 CH3 + C2H4 <=> C3H7 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-HH_Cds-HH;CsJ-HHH]
+! family: R_Addition_MultipleBond
+[CH3](4)+C2H4(9)<=>[CH2]CC(16) 8.610000e+02 2.988 7.238
+
+! Reaction index: Chemkin #24; RMG #59
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H3(14), C4H7(24); C2H4(9), C4H7(24);
+! Matched reaction 234 C2H3 + C2H4 <=> C4H7-3 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-HH_Cds-HH;CdsJ-H]
+! family: R_Addition_MultipleBond
+C2H3(14)+C2H4(9)<=>C4H7(24) 2.860000e+04 2.410 1.800
+
+! Reaction index: Chemkin #25; RMG #138
+! Template reaction: Intra_R_Add_Exocyclic
+! Flux pairs: C4H7(24), [CH2]C1CC1(46);
+! Matched reaction 335 C4H7 <=> C4H7-2 in Intra_R_Add_Exocyclic/training
+! This reaction matched rate rule [Backbone1_Sp-4R!H=1R!H]
+! family: Intra_R_Add_Exocyclic
+C4H7(24)<=>[CH2]C1CC1(46) 6.320000e+08 0.970 8.900
+
+! Reaction index: Chemkin #26; RMG #74
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C[CH2](5), C4H7(29); C#C(20), C4H7(29);
+! Matched reaction 2254 C2H2 + C2H5 <=> C4H7-6 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Ct-H_Ct-H;CsJ-CsHH]
+! family: R_Addition_MultipleBond
+C#C(20)+C[CH2](5)<=>C4H7(29) 1.360000e+04 2.410 6.200
+
+! Reaction index: Chemkin #27; RMG #146
+! Template reaction: intra_H_migration
+! Flux pairs: C4H7(29), C4H7(24);
+! Estimated using template [R4H_DSS;Cd_rad_out_singleH;Cs_H_out] for rate rule [R4H_DSS;Cd_rad_out_singleH;Cs_H_out_2H]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: intra_H_migration
+C4H7(29)<=>C4H7(24) 1.113000e+05 2.230 10.590
+
+! Reaction index: Chemkin #28; RMG #144
+! Template reaction: intra_H_migration
+! Flux pairs: C4H7(24), C4H7(49);
+! Matched reaction 84 C:CC[CH2] <=> C:C[CH]C in intra_H_migration/training
+! This reaction matched rate rule [R2H_S;C_rad_out_2H;Cs_H_out_H/Cd]
+! family: intra_H_migration
+C4H7(24)<=>C4H7(49) 1.720000e+06 1.990 27.200
+
+! Reaction index: Chemkin #29; RMG #346
+! Template reaction: intra_H_migration
+! Flux pairs: C4H7(29), C4H7(49);
+! Matched reaction 194 C4H7-4 <=> C4H7-5 in intra_H_migration/training
+! This reaction matched rate rule [R3H_DS;Cd_rad_out_singleH;Cs_H_out_H/NonDeC]
+! family: intra_H_migration
+C4H7(29)<=>C4H7(49) 1.846000e+10 0.740 34.700
+
+! Reaction index: Chemkin #30; RMG #65
+! Template reaction: R_Recombination
+! Flux pairs: C2H3(14), C4H6(25); C2H3(14), C4H6(25);
+! Matched reaction 89 C2H3 + C2H3 <=> C4H6-4 in R_Recombination/training
+! This reaction matched rate rule [Root_N-1R->H_N-1CNOS->N_N-1COS->O_1CS->C_N-1C-inRing_Ext-2R-R_N-Sp-3R!H-2R_N-3R!H->O_N-Sp-3CCSS#2R_Ext-1C-R]
+! family: R_Recombination
+C2H3(14)+C2H3(14)<=>C4H6(25) 3.615000e+13 0.000 0.000
+
+! Reaction index: Chemkin #31; RMG #139
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C4H6(25), C4H7(24); [H](6), C4H7(24);
+! Matched reaction 2580 H + C4H6-2 <=> C4H7-11 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-CdH_Cds-HH;HJ]
+! family: R_Addition_MultipleBond
+[H](6)+C4H6(25)<=>C4H7(24) 3.240000e+08 1.640 2.400
+
+! Reaction index: Chemkin #32; RMG #150
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(24), C4H6(25); [CH3](4), C(3);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_4CHNS->C_4C-u1
+! Multiplied by reaction path degeneracy 2.0
+[CH3](4)+C4H7(24)<=>C(3)+C4H6(25) 2.300000e+13 -0.320 0.000
+
+! Reaction index: Chemkin #33; RMG #160
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(24), C4H6(25); C[CH2](5), ethane(1);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C
+! Multiplied by reaction path degeneracy 2.0
+C[CH2](5)+C4H7(24)<=>ethane(1)+C4H6(25) 3.941700e+12 -0.039 0.000
+
+! Reaction index: Chemkin #34; RMG #176
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(24), C4H6(25); [H](6), [H][H](13);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_N-4CHNS->C
+! Multiplied by reaction path degeneracy 2.0
+[H](6)+C4H7(24)<=>[H][H](13)+C4H6(25) 3.620000e+12 0.000 0.000
+
+! Reaction index: Chemkin #35; RMG #197
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(24), C4H6(25); C2H3(14), C2H4(9);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C
+! Multiplied by reaction path degeneracy 2.0
+C2H3(14)+C4H7(24)<=>C2H4(9)+C4H6(25) 2.420000e+12 0.000 0.000
+
+! Reaction index: Chemkin #36; RMG #468
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C4H6(25), C4H7(49); [H](6), C4H7(49);
+! Matched reaction 2544 H + C4H6 <=> C4H7-9 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Cds-HH_Cds-CdH;HJ]
+! family: R_Addition_MultipleBond
+[H](6)+C4H6(25)<=>C4H7(49) 4.620000e+08 1.640 -0.470
+
+! Reaction index: Chemkin #37; RMG #484
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); [CH3](4), C(3);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 3.0
+[CH3](4)+C4H7(49)<=>C(3)+C4H6(25) 1.500000e+11 0.000 0.000
+
+! Reaction index: Chemkin #38; RMG #501
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); C[CH2](5), ethane(1);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 3.0
+C[CH2](5)+C4H7(49)<=>ethane(1)+C4H6(25) 1.500000e+11 0.000 0.000
+
+! Reaction index: Chemkin #39; RMG #519
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); [H](6), [H][H](13);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_N-4R->C
+! Multiplied by reaction path degeneracy 3.0
+[H](6)+C4H7(49)<=>[H][H](13)+C4H6(25) 2.169000e+13 0.000 3.986
+
+! Reaction index: Chemkin #40; RMG #558
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); C2H3(14), C2H4(9);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 3.0
+C2H3(14)+C4H7(49)<=>C2H4(9)+C4H6(25) 1.500000e+11 0.000 0.000
+
+! Reaction index: Chemkin #41; RMG #752
+! Template reaction: Intra_2+2_cycloaddition_Cd
+! Flux pairs: C4H6(25), C4H6(200);
+! Matched reaction 1 C4H6_BD <=> C4H6_CB in Intra_2+2_cycloaddition_Cd/training
+! This reaction matched rate rule [1,3-butadiene_backbone;CdH2_1;CdH2_2]
+! family: Intra_2+2_cycloaddition_Cd
+C4H6(25)<=>C4H6(200) 6.706520e+13 -0.361 44.856
+
+! Reaction index: Chemkin #42; RMG #141
+! Template reaction: R_Recombination
+! Flux pairs: C4H6(47), C4H7(24); [H](6), C4H7(24);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-Sp-3R!H=2CCNNOO_N-2CNO->O_Ext-2CN-R
+! Multiplied by reaction path degeneracy 2.0
+[H](6)+C4H6(47)<=>C4H7(24) 3.532740e+13 0.153 0.000
+
+! Reaction index: Chemkin #43; RMG #187
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H7(24); C[CH2](5), C2H4(9);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_Ext-4CNS-R
+! Multiplied by reaction path degeneracy 6.0
+C[CH2](5)+C4H6(47)<=>C2H4(9)+C4H7(24) 4.660962e+15 -0.900 1.445
+
+! Reaction index: Chemkin #44; RMG #218
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H7(24); C2H3(14), C#C(20);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS
+! Multiplied by reaction path degeneracy 4.0
+C2H3(14)+C4H6(47)<=>C#C(20)+C4H7(24) 4.212760e+13 -0.251 0.000
+
+! Reaction index: Chemkin #45; RMG #462
+! Template reaction: R_Recombination
+! Flux pairs: C4H6(47), C4H7(49); [H](6), C4H7(49);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_N-
+! Sp-3R!H=2CCNNOO_N-2CNO->O_3R!H->C_Sp-3C-2CN_Ext-3C-R_Sp-4R!H=3C_N-3C-inRing
+! Multiplied by reaction path degeneracy 2.0
+[H](6)+C4H6(47)<=>C4H7(49) 3.251960e+13 0.255 0.000
+
+! Reaction index: Chemkin #46; RMG #526
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H7(49); C[CH2](5), C2H4(9);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS_1CNS->C_Ext-5CS-R
+! Multiplied by reaction path degeneracy 6.0
+C[CH2](5)+C4H6(47)<=>C2H4(9)+C4H7(49) 1.374000e+14 -0.350 0.000
+
+! Reaction index: Chemkin #47; RMG #569
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H7(49); C2H3(14), C#C(20);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_Sp-5CS-4CCNSS
+! Multiplied by reaction path degeneracy 4.0
+C2H3(14)+C4H6(47)<=>C#C(20)+C4H7(49) 4.212760e+13 -0.251 0.000
+
+! Reaction index: Chemkin #48; RMG #817
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H6(25); C4H7(24), C4H7(24);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Ext-4C-R_2R!H->C
+! Multiplied by reaction path degeneracy 4.0
+C4H6(47)+C4H7(24)<=>C4H6(25)+C4H7(24) 4.210600e+14 -0.550 0.640
+
+! Reaction index: Chemkin #49; RMG #818
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H7(24); C4H6(47), C4H6(25);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 6.0
+C4H6(47)+C4H7(49)<=>C4H6(25)+C4H7(24) 3.000000e+11 0.000 0.000
+
+! Reaction index: Chemkin #50; RMG #866
+! Template reaction: Disproportionation
+! Flux pairs: C4H6(47), C4H6(25); C4H7(24), C4H7(49);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_Sp-6C-4C_Ext-6C-R
+! Multiplied by reaction path degeneracy 4.0
+C4H6(47)+C4H7(24)<=>C4H6(25)+C4H7(49) 5.800000e+12 0.000 0.000
+
+! Reaction index: Chemkin #51; RMG #867
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H7(49); C4H6(47), C4H6(25);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 6.0
+C4H6(47)+C4H7(49)<=>C4H6(25)+C4H7(49) 3.000000e+11 0.000 0.000
+
+! Reaction index: Chemkin #52; RMG #908
+! Template reaction: Birad_recombination
+! Flux pairs: C4H6(47), C4H6(200);
+! Estimated from node Root_1R!H->C
+C4H6(47)<=>C4H6(200) 8.690880e+06 1.216 0.000
+
+! Reaction index: Chemkin #53; RMG #1034
+! Template reaction: 1,2-Birad_to_alkene
+! Flux pairs: C4H6(47), C4H6(25);
+! Matched reaction 5 C4H6 => C4H6-2 in 1,2-Birad_to_alkene/training
+! This reaction matched rate rule [Y_12_01]
+! family: 1,2-Birad_to_alkene
+C4H6(47)=>C4H6(25) 5.010000e+07 0.000 0.000
+
+! Reaction index: Chemkin #54; RMG #271
+! Template reaction: intra_H_migration
+! Flux pairs: CC1[CH]C1(86), [CH2]C1CC1(46);
+! Estimated using template [R3H_SS;C_rad_out_H/NonDeC;Cs_H_out_2H] for rate rule [R3H_SS_12cy3;C_rad_out_H/NonDeC;Cs_H_out_2H]
+! Euclidian distance = 1.0
+! Multiplied by reaction path degeneracy 3.0
+! family: intra_H_migration
+CC1[CH]C1(86)<=>[CH2]C1CC1(46) 7.772027e+08 1.395 45.950
+
+! Reaction index: Chemkin #55; RMG #459
+! Template reaction: Intra_R_Add_Endocyclic
+! Flux pairs: C4H7(49), CC1[CH]C1(86);
+! Estimated from node Backbone0_N-2R!H-inRing_N-1R!H-inRing_Sp-2R!H-1R!H_Ext-3R!H-R_Sp-3R!H=1R!H
+C4H7(49)<=>CC1[CH]C1(86) 3.683930e+12 -0.105 35.881
+
+! Reaction index: Chemkin #56; RMG #460
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C4H6(115), C4H7(49); [H](6), C4H7(49);
+! Matched reaction 2714 H + C4H6-4 <=> C4H7-13 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Ca_Cds-HH;HJ]
+! family: R_Addition_MultipleBond
+[H](6)+C4H6(115)<=>C4H7(49) 5.460000e+08 1.640 3.780
+
+! Reaction index: Chemkin #57; RMG #475
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); [CH3](4), C(3);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H
+[CH3](4)+C4H7(49)<=>C(3)+C4H6(115) 4.339290e+05 1.968 2.212
+
+! Reaction index: Chemkin #58; RMG #489
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); C[CH2](5), ethane(1);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Sp-6R!H-4CHNS
+C[CH2](5)+C4H7(49)<=>ethane(1)+C4H6(115) 9.640000e+11 0.000 6.652
+
+! Reaction index: Chemkin #59; RMG #513
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); [H](6), [H][H](13);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O
+[H](6)+C4H7(49)<=>[H][H](13)+C4H6(115) 1.356420e+10 0.470 0.000
+
+! Reaction index: Chemkin #60; RMG #542
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); C2H3(14), C2H4(9);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_N-Sp-6R!H-4CHNS
+C2H3(14)+C4H7(49)<=>C2H4(9)+C4H6(115) 2.410000e+12 0.000 0.000
+
+! Reaction index: Chemkin #61; RMG #1028
+! Template reaction: Intra_Disproportionation
+! Flux pairs: C4H6(47), C4H6(115);
+! Estimated using an average for rate rule [R3radExo;Y_rad;XH_Rrad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 2.0
+! family: Intra_Disproportionation
+C4H6(47)<=>C4H6(115) 1.487400e+09 1.045 15.153
+
+! Reaction index: Chemkin #62; RMG #1173
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); C4H6(47), C4H7(49);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R
+! Multiplied by reaction path degeneracy 2.0
+C4H6(47)+C4H7(49)<=>C4H6(115)+C4H7(49) 1.686000e+11 0.000 6.982
+
+! Reaction index: Chemkin #63; RMG #1190
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(115); C4H6(47), C4H7(24);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R
+! Multiplied by reaction path degeneracy 2.0
+C4H6(47)+C4H7(49)<=>C4H6(115)+C4H7(24) 1.686000e+11 0.000 12.469
+
+! Reaction index: Chemkin #64; RMG #82
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: C2H3(14), C4H5(31); C#C(20), C4H5(31);
+! Matched reaction 196 C2H2 + C2H3 <=> C4H5-8 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Ct-H_Ct-H;CdsJ-H]
+! family: R_Addition_MultipleBond
+C#C(20)+C2H3(14)<=>C4H5(31) 1.168000e+07 1.997 5.452
+
+! Reaction index: Chemkin #65; RMG #757
+! Template reaction: R_Recombination
+! Flux pairs: C4H5(31), C4H6(25); [H](6), C4H6(25);
+! Estimated from node Root_1R->H_N-2R->S_N-2CHNO->H_N-2CNO-inRing_Ext-2CNO-R_Sp-3R!H=2CCNNOO_N-3R!H->O
+[H](6)+C4H5(31)<=>C4H6(25) 8.156660e+18 -1.493 0.000
+
+! Reaction index: Chemkin #66; RMG #763
+! Template reaction: H_Abstraction
+! Flux pairs: [CH3](4), C(3); C4H6(25), C4H5(31);
+! From training reaction 1566 used for Cd/H2/NonDeC;C_methyl
+! Exact match found for rate rule [Cd/H2/NonDeC;C_methyl]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: H_Abstraction
+[CH3](4)+C4H6(25)<=>C(3)+C4H5(31) 3.432000e-02 4.340 20.710
+
+! Reaction index: Chemkin #67; RMG #771
+! Template reaction: H_Abstraction
+! Flux pairs: C[CH2](5), ethane(1); C4H6(25), C4H5(31);
+! From training reaction 343 used for Cd/H2/NonDeC;C_rad/H2/Cs\H3
+! Exact match found for rate rule [Cd/H2/NonDeC;C_rad/H2/Cs\H3]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: H_Abstraction
+C[CH2](5)+C4H6(25)<=>ethane(1)+C4H5(31) 6.320000e+02 3.130 18.000
+
+! Reaction index: Chemkin #68; RMG #775
+! Template reaction: H_Abstraction
+! Flux pairs: [H](6), [H][H](13); C4H6(25), C4H5(31);
+! From training reaction 217 used for Cd/H2/NonDeC;H_rad
+! Exact match found for rate rule [Cd/H2/NonDeC;H_rad]
+! Euclidian distance = 0
+! Multiplied by reaction path degeneracy 4.0
+! family: H_Abstraction
+[H](6)+C4H6(25)<=>[H][H](13)+C4H5(31) 2.400000e+02 3.620 11.266
+
+! Reaction index: Chemkin #69; RMG #780
+! Template reaction: Disproportionation
+! Flux pairs: C4H5(31), C4H6(25); C[CH2](5), C2H4(9);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O_N-Sp-5CS-4CCNSS
+! Multiplied by reaction path degeneracy 3.0
+C[CH2](5)+C4H5(31)<=>C2H4(9)+C4H6(25) 4.560000e+14 -0.700 0.000
+
+! Reaction index: Chemkin #70; RMG #789
+! Template reaction: H_Abstraction
+! Flux pairs: C2H3(14), C2H4(9); C4H6(25), C4H5(31);
+! Matched reaction 177 C4H6-3 + C2H3 <=> C2H4 + C4H5 in H_Abstraction/training
+! This reaction matched rate rule [Cd/H2/NonDeC;Cd_Cd\H2_pri_rad]
+! family: H_Abstraction
+C2H3(14)+C4H6(25)<=>C2H4(9)+C4H5(31) 3.437000e-04 4.732 6.579
+
+! Reaction index: Chemkin #71; RMG #798
+! Template reaction: Disproportionation
+! Flux pairs: C4H5(31), C4H6(25); C2H3(14), C#C(20);
+! Estimated from node Root_N-4R->H_4CNOS-u1_N-1R!H->O_N-4CNOS->O_Ext-4CNS-R_N-Sp-5R!H#4CCCNNNSSS_N-2R!H->S_N-5R!H->O
+! Multiplied by reaction path degeneracy 2.0
+C2H3(14)+C4H5(31)<=>C#C(20)+C4H6(25) 2.959700e+13 -0.312 0.000
+
+! Reaction index: Chemkin #72; RMG #904
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(24), C4H6(25); C4H5(31), C4H6(25);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-
+! Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C
+! Multiplied by reaction path degeneracy 2.0
+C4H5(31)+C4H7(24)<=>C4H6(25)+C4H6(25) 2.420000e+12 0.000 0.000
+
+! Reaction index: Chemkin #73; RMG #905
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); C4H5(31), C4H6(25);
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Multiplied by reaction path degeneracy 3.0
+C4H5(31)+C4H7(49)<=>C4H6(25)+C4H6(25) 1.500000e+11 0.000 0.000
+
+! Reaction index: Chemkin #74; RMG #1681
+! Template reaction: Disproportionation
+! Flux pairs: C4H7(49), C4H6(25); C4H5(31), C4H6(115);
+! Estimated from node Root_Ext-1R!H-R_N-4R->O_Sp-5R!H=1R!H_Ext-4CHNS-R_Ext-6R!H-R
+C4H5(31)+C4H7(49)<=>C4H6(115)+C4H6(25) 8.430000e+10 0.000 2.130
+
+! Reaction index: Chemkin #75; RMG #70
+! Template reaction: R_Addition_MultipleBond
+! Flux pairs: [CH3](4), C3H5(28); C#C(20), C3H5(28);
+! Matched reaction 2253 C2H2 + CH3 <=> C3H5-2 in R_Addition_MultipleBond/training
+! This reaction matched rate rule [Ct-H_Ct-H;CsJ-HHH]
+! family: R_Addition_MultipleBond
+[CH3](4)+C#C(20)<=>C3H5(28) 1.338000e+05 2.410 6.770
+
+END
+
diff --git a/ipython/data/parse_source/species_dictionary.txt b/ipython/data/parse_source/species_dictionary.txt
new file mode 100644
index 00000000000..19abe31c11c
--- /dev/null
+++ b/ipython/data/parse_source/species_dictionary.txt
@@ -0,0 +1,238 @@
+Ar
+1 Ar u0 p4 c0
+
+He
+1 He u0 p1 c0
+
+Ne
+1 Ne u0 p4 c0
+
+N2
+1 N u0 p1 c0 {2,T}
+2 N u0 p1 c0 {1,T}
+
+ethane(1)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+
+[CH3](4)
+multiplicity 2
+1 C u1 p0 c0 {2,S} {3,S} {4,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+
+C[CH2](5)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u1 p0 c0 {1,S} {6,S} {7,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+
+C(3)
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+
+[H](6)
+multiplicity 2
+1 H u1 p0 c0
+
+C2H4(9)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p0 c0 {1,D} {5,S} {6,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+6 H u0 p0 c0 {2,S}
+
+[H][H](13)
+1 H u0 p0 c0 {2,S}
+2 H u0 p0 c0 {1,S}
+
+C2H3(14)
+multiplicity 2
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u1 p0 c0 {1,D} {5,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {2,S}
+
+C#C(20)
+1 C u0 p0 c0 {2,T} {3,S}
+2 C u0 p0 c0 {1,T} {4,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {2,S}
+
+C2H2(27)
+1 C u0 p0 c0 {2,D} {3,S} {4,S}
+2 C u0 p1 c0 {1,D}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+
+[CH2]CC(16)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
+3 C u1 p0 c0 {1,S} {9,S} {10,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+
+C4H7(24)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {4,D} {7,S}
+3 C u1 p0 c0 {1,S} {8,S} {9,S}
+4 C u0 p0 c0 {2,D} {10,S} {11,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {4,S}
+11 H u0 p0 c0 {4,S}
+
+[CH2]C1CC1(46)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S}
+3 C u0 p0 c0 {1,S} {2,S} {8,S} {9,S}
+4 C u1 p0 c0 {1,S} {10,S} {11,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {4,S}
+11 H u0 p0 c0 {4,S}
+
+C4H7(29)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S}
+3 C u0 p0 c0 {1,S} {4,D} {10,S}
+4 C u1 p0 c0 {3,D} {11,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {2,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {4,S}
+
+C4H7(49)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {3,D} {8,S}
+3 C u0 p0 c0 {2,D} {4,S} {9,S}
+4 C u1 p0 c0 {3,S} {10,S} {11,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {4,S}
+11 H u0 p0 c0 {4,S}
+
+C4H6(25)
+1 C u0 p0 c0 {2,S} {3,D} {5,S}
+2 C u0 p0 c0 {1,S} {4,D} {6,S}
+3 C u0 p0 c0 {1,D} {7,S} {8,S}
+4 C u0 p0 c0 {2,D} {9,S} {10,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {3,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {4,S}
+10 H u0 p0 c0 {4,S}
+
+C4H6(200)
+1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
+3 C u0 p0 c0 {1,S} {4,D} {9,S}
+4 C u0 p0 c0 {2,S} {3,D} {10,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {4,S}
+
+C4H6(47)
+multiplicity 3
+1 C u0 p0 c0 {2,D} {3,S} {5,S}
+2 C u0 p0 c0 {1,D} {4,S} {6,S}
+3 C u1 p0 c0 {1,S} {7,S} {8,S}
+4 C u1 p0 c0 {2,S} {9,S} {10,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {3,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {4,S}
+10 H u0 p0 c0 {4,S}
+
+CC1[CH]C1(86)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S}
+3 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
+4 C u1 p0 c0 {1,S} {2,S} {11,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+11 H u0 p0 c0 {4,S}
+
+C4H6(115)
+1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
+2 C u0 p0 c0 {1,S} {4,D} {8,S}
+3 C u0 p0 c0 {4,D} {9,S} {10,S}
+4 C u0 p0 c0 {2,D} {3,D}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {1,S}
+8 H u0 p0 c0 {2,S}
+9 H u0 p0 c0 {3,S}
+10 H u0 p0 c0 {3,S}
+
+C4H5(31)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {3,D} {5,S}
+2 C u0 p0 c0 {1,S} {4,D} {6,S}
+3 C u0 p0 c0 {1,D} {7,S} {8,S}
+4 C u1 p0 c0 {2,D} {9,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {2,S}
+7 H u0 p0 c0 {3,S}
+8 H u0 p0 c0 {3,S}
+9 H u0 p0 c0 {4,S}
+
+C3H5(28)
+multiplicity 2
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,D} {7,S}
+3 C u1 p0 c0 {2,D} {8,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {3,S}
+
diff --git a/ipython/data/pathway_analysis/minimal/chem.inp b/ipython/data/pathway_analysis/minimal/chem.inp
index adc95e4d95f..9f7180591ce 100644
--- a/ipython/data/pathway_analysis/minimal/chem.inp
+++ b/ipython/data/pathway_analysis/minimal/chem.inp
@@ -20,7 +20,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/ipython/data/regression/new/chem_annotated.inp b/ipython/data/regression/new/chem_annotated.inp
index 17167604011..8daf18891cb 100644
--- a/ipython/data/regression/new/chem_annotated.inp
+++ b/ipython/data/regression/new/chem_annotated.inp
@@ -25,7 +25,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/ipython/data/regression/old/chem_annotated.inp b/ipython/data/regression/old/chem_annotated.inp
index 1ace47d0266..926109b6e2f 100644
--- a/ipython/data/regression/old/chem_annotated.inp
+++ b/ipython/data/regression/old/chem_annotated.inp
@@ -25,7 +25,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/ipython/data/species_dictionary.txt b/ipython/data/species_dictionary.txt
deleted file mode 100644
index 5840bbd90eb..00000000000
--- a/ipython/data/species_dictionary.txt
+++ /dev/null
@@ -1,10168 +0,0 @@
-Ar
-1 Ar u0 p4 c0
-
-He
-1 He u0 p1 c0
-
-Ne
-1 Ne u0 p4 c0
-
-N2
-1 N u0 p1 c0 {2,T}
-2 N u0 p1 c0 {1,T}
-
-RC10L(1)
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {9,S} {12,S} {13,S}
-6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {2,S} {25,S} {26,S} {27,S}
-8 C u0 p0 c0 {2,S} {18,S} {28,S} {29,S}
-9 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 L u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 R u0 p0 c0 {8,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-
-RC10(2)
-1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S}
-2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S}
-3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S}
-9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S}
-10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 R u0 p0 c0 {10,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-30 H u0 p0 c0 {9,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {10,S}
-
-LC10(3)
-1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S}
-2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S}
-3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S}
-9 C u0 p0 c0 {3,S} {28,S} {29,S} {30,S}
-10 C u0 p0 c0 {3,S} {18,S} {31,S} {32,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 L u0 p0 c0 {10,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-30 H u0 p0 c0 {9,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {10,S}
-
-[CH2]C(C)CR(6)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {1,S} {12,S} {13,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-
-C[CH]CR(10)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
-3 C u1 p0 c0 {1,S} {2,S} {10,S}
-4 H u0 p0 c0 {1,S}
-5 R u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-
-C[CH]CC(C)CR(5)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
-5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-6 C u1 p0 c0 {2,S} {5,S} {19,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 R u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-
-[CH2]C(C)L(4)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u1 p0 c0 {1,S} {9,S} {10,S}
-4 L u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-
-C7H14R(9)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u1 p0 c0 {2,S} {21,S} {22,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-
-C[CH]CC(C)L(7)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-5 C u1 p0 c0 {2,S} {4,S} {16,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-
-C[CH]L(8)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u1 p0 c0 {1,S} {6,S} {7,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 L u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-
-C6H12L(11)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S}
-6 C u1 p0 c0 {1,S} {18,S} {19,S}
-7 H u0 p0 c0 {1,S}
-8 L u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-
-C3H5R(12)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,D} {7,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 R u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-
-CC(C)L(13)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 L u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-[CH2]R(14)
-multiplicity 2
-1 C u1 p0 c0 {2,S} {3,S} {4,S}
-2 H u0 p0 c0 {1,S}
-3 R u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-
-C8H16L(15)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S}
-3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S}
-7 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
-8 C u1 p0 c0 {4,S} {7,S} {25,S}
-9 H u0 p0 c0 {1,S}
-10 L u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-
-CCCC(C)L(16)
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S}
-3 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-6 L u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-
-C6H11R(17)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
-5 C u0 p0 c0 {2,S} {6,D} {16,S}
-6 C u0 p0 c0 {5,D} {17,S} {18,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-
-C3H6(18)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,D} {7,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-
-C2H3L(19)
-1 C u0 p0 c0 {2,D} {3,S} {4,S}
-2 C u0 p0 c0 {1,D} {5,S} {6,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 L u0 p0 c0 {2,S}
-6 H u0 p0 c0 {2,S}
-
-CC(C)CR(20)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-
-C8H15L(21)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
-6 C u0 p0 c0 {3,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {4,S} {8,D} {22,S}
-8 C u0 p0 c0 {7,D} {23,S} {24,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 L u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {8,S}
-
-CR(22)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 H u0 p0 c0 {1,S}
-3 R u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-
-CC(C)CC(C)CR(23)
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-
-C5H9L(24)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {2,S} {5,D} {13,S}
-5 C u0 p0 c0 {4,D} {14,S} {15,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-
-CC(C)CC(C)L(25)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {6,S} {8,S} {9,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S}
-7 H u0 p0 c0 {1,S}
-8 L u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {6,S}
-13 H u0 p0 c0 {6,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-
-CCL(26)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 L u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-
-CCCR(27)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C7H14LR(28)
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S}
-3 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-4 C u0 p0 c0 {3,S} {7,S} {9,S} {10,S}
-5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {4,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {7,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {5,S}
-19 R u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-
-C10H20LR(29)
-1 C u0 p0 c0 {3,S} {4,S} {9,S} {12,S}
-2 C u0 p0 c0 {3,S} {7,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-5 C u0 p0 c0 {4,S} {6,S} {19,S} {20,S}
-6 C u0 p0 c0 {5,S} {10,S} {17,S} {18,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-9 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S}
-10 C u0 p0 c0 {6,S} {30,S} {31,S} {32,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 L u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {7,S}
-22 R u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-30 H u0 p0 c0 {10,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {10,S}
-
-C9H18L2(30)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S}
-4 C u0 p0 c0 {3,S} {6,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {8,S} {11,S} {12,S}
-6 C u0 p0 c0 {4,S} {9,S} {17,S} {18,S}
-7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {5,S} {21,S} {22,S} {23,S}
-9 C u0 p0 c0 {6,S} {27,S} {28,S} {29,S}
-10 H u0 p0 c0 {1,S}
-11 L u0 p0 c0 {5,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 L u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-
-CC(L)CCR(31)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,S} {7,S} {8,S}
-3 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 L u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 R u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-
-CCCC(C)CR(32)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,S} {8,S} {9,S}
-3 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-
-C8H16L2(33)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S}
-4 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S}
-5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S}
-8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-9 H u0 p0 c0 {1,S}
-10 L u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 L u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-
-CC(CR)CCR(34)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {5,S}
-10 R u0 p0 c0 {5,S}
-11 H u0 p0 c0 {5,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-
-CC(L)CC(C)L(35)
-1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {7,S}
-3 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
-4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-6 L u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 L u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-
-C8H16R2(36)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S}
-2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {11,S} {12,S}
-4 C u0 p0 c0 {1,S} {8,S} {13,S} {14,S}
-5 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {8,S}
-16 R u0 p0 c0 {8,S}
-17 H u0 p0 c0 {8,S}
-18 H u0 p0 c0 {5,S}
-19 R u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-
-CC(L)CC(C)CR(37)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {6,S} {8,S} {9,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {3,S} {12,S} {13,S} {14,S}
-7 H u0 p0 c0 {1,S}
-8 L u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {6,S}
-13 H u0 p0 c0 {6,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {4,S}
-16 R u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-
-C7H14LR(38)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {9,S} {10,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {4,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {6,S}
-16 R u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-
-C9H18R2(39)
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {12,S}
-3 C u0 p0 c0 {4,S} {5,S} {6,S} {10,S}
-4 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S}
-5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-9 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 R u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 R u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-
-C7H14R2(40)
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-
-CC(L)CR(41)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 L u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-CC(CR)CR(42)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 R u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-
-C8H16LR(43)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {10,S}
-2 C u0 p0 c0 {3,S} {5,S} {6,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S}
-5 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {1,S}
-11 L u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {8,S}
-16 H u0 p0 c0 {8,S}
-17 H u0 p0 c0 {8,S}
-18 H u0 p0 c0 {5,S}
-19 R u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-
-C8H16LR(44)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-4 C u0 p0 c0 {3,S} {8,S} {11,S} {12,S}
-5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 L u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {8,S}
-16 H u0 p0 c0 {8,S}
-17 H u0 p0 c0 {8,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 R u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-
-CC(L)CCC(C)L(45)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-4 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S}
-5 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S}
-7 L u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 L u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-
-C7H14L2(46)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S}
-4 C u0 p0 c0 {2,S} {7,S} {11,S} {12,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {3,S} {15,S} {16,S} {17,S}
-7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 L u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-
-CC(L)C(C)CR(47)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {9,S} {10,S} {11,S}
-6 H u0 p0 c0 {1,S}
-7 L u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {5,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {5,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-
-C10H20R2(48)
-1 C u0 p0 c0 {4,S} {5,S} {8,S} {12,S}
-2 C u0 p0 c0 {4,S} {6,S} {7,S} {11,S}
-3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {3,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-9 C u0 p0 c0 {3,S} {27,S} {28,S} {29,S}
-10 C u0 p0 c0 {3,S} {30,S} {31,S} {32,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 R u0 p0 c0 {9,S}
-29 H u0 p0 c0 {9,S}
-30 H u0 p0 c0 {10,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {10,S}
-
-C8H17L(49)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S}
-5 C u0 p0 c0 {3,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {4,S} {18,S} {19,S} {20,S}
-8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-9 H u0 p0 c0 {1,S}
-10 L u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-
-C11H22L2(50)
-1 C u0 p0 c0 {3,S} {4,S} {8,S} {12,S}
-2 C u0 p0 c0 {3,S} {5,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {2,S} {18,S} {19,S}
-4 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {7,S} {22,S} {23,S}
-6 C u0 p0 c0 {4,S} {10,S} {14,S} {15,S}
-7 C u0 p0 c0 {5,S} {11,S} {20,S} {21,S}
-8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {2,S} {33,S} {34,S} {35,S}
-10 C u0 p0 c0 {6,S} {24,S} {25,S} {26,S}
-11 C u0 p0 c0 {7,S} {30,S} {31,S} {32,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 L u0 p0 c0 {6,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 L u0 p0 c0 {7,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {11,S}
-31 H u0 p0 c0 {11,S}
-32 H u0 p0 c0 {11,S}
-33 H u0 p0 c0 {9,S}
-34 H u0 p0 c0 {9,S}
-35 H u0 p0 c0 {9,S}
-
-CC(L)C(C)L(51)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {2,S} {12,S} {13,S} {14,S}
-5 L u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 L u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-
-CC(CR)C(C)CR(52)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
-2 C u0 p0 c0 {1,S} {5,S} {6,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {2,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 R u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 R u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-
-C10H20L2(53)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S}
-2 C u0 p0 c0 {3,S} {5,S} {8,S} {12,S}
-3 C u0 p0 c0 {1,S} {2,S} {17,S} {18,S}
-4 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-5 C u0 p0 c0 {2,S} {10,S} {19,S} {20,S}
-6 C u0 p0 c0 {4,S} {9,S} {13,S} {14,S}
-7 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-10 C u0 p0 c0 {5,S} {30,S} {31,S} {32,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 L u0 p0 c0 {6,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 L u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {10,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {10,S}
-
-C11H22LR(54)
-1 C u0 p0 c0 {3,S} {4,S} {8,S} {13,S}
-2 C u0 p0 c0 {4,S} {5,S} {7,S} {12,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {14,S}
-4 C u0 p0 c0 {1,S} {2,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-6 C u0 p0 c0 {5,S} {11,S} {15,S} {16,S}
-7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {3,S} {30,S} {31,S} {32,S}
-10 C u0 p0 c0 {3,S} {33,S} {34,S} {35,S}
-11 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 L u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {11,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {9,S}
-31 R u0 p0 c0 {9,S}
-32 H u0 p0 c0 {9,S}
-33 H u0 p0 c0 {10,S}
-34 H u0 p0 c0 {10,S}
-35 H u0 p0 c0 {10,S}
-
-RCCR(55)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 H u0 p0 c0 {1,S}
-4 R u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-
-C6H11R(56)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {6,D} {18,S}
-6 C u0 p0 c0 {4,S} {5,D} {17,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 R u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-
-C5H9L(57)
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {5,D} {15,S}
-5 C u0 p0 c0 {3,S} {4,D} {14,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {4,S}
-
-C3H5R(58)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,D} {7,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 R u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-
-C3H5L(59)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,D} {7,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 L u0 p0 c0 {2,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-
-C4H7R(60)
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {4,D}
-4 C u0 p0 c0 {3,D} {11,S} {12,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 R u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-
-C8H15L(61)
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {3,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {1,S} {8,D} {24,S}
-8 C u0 p0 c0 {6,S} {7,D} {23,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 L u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {7,S}
-
-C7H13R(62)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
-2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {2,S} {5,S} {7,D}
-7 C u0 p0 c0 {6,D} {20,S} {21,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 R u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {7,S}
-
-C6H11L(63)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {2,S} {4,S} {6,D}
-6 C u0 p0 c0 {5,D} {17,S} {18,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-
-C10H20R(64)
-multiplicity 2
-1 C u0 p0 c0 {4,S} {5,S} {6,S} {11,S}
-2 C u0 p0 c0 {4,S} {7,S} {8,S} {12,S}
-3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {3,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S}
-10 C u1 p0 c0 {3,S} {30,S} {31,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {9,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {10,S}
-31 R u0 p0 c0 {10,S}
-
-C9H17LR(65)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
-2 C u0 p0 c0 {4,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {9,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {2,S} {23,S} {24,S} {25,S}
-8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S}
-9 C u1 p0 c0 {3,S} {4,S} {8,S}
-10 H u0 p0 c0 {1,S}
-11 L u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 R u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-
-C9H17LR(66)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
-2 C u0 p0 c0 {5,S} {6,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S}
-6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S}
-9 C u1 p0 c0 {1,S} {2,S} {28,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 R u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {9,S}
-
-C9H17LR(67)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-9 C u1 p0 c0 {2,S} {27,S} {28,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 R u0 p0 c0 {9,S}
-
-C9H17LR(68)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {8,S} {9,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
-6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {4,S} {25,S} {26,S} {27,S}
-9 C u1 p0 c0 {2,S} {4,S} {28,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 R u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {9,S}
-
-C9H17LR(69)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S}
-3 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {9,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {3,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S}
-8 C u0 p0 c0 {9,S} {26,S} {27,S} {28,S}
-9 C u1 p0 c0 {4,S} {7,S} {8,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 L u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {7,S}
-24 R u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-
-C9H17LR(70)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {8,S} {11,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {9,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-9 C u1 p0 c0 {5,S} {27,S} {28,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-
-C9H17LR(71)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {7,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-9 C u1 p0 c0 {2,S} {27,S} {28,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-
-C9H17LR(72)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {11,S}
-2 C u0 p0 c0 {3,S} {5,S} {6,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S}
-5 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S}
-6 C u0 p0 c0 {2,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S}
-9 C u1 p0 c0 {4,S} {8,S} {28,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 R u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 L u0 p0 c0 {9,S}
-
-C9H17LR(73)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {6,S} {7,S} {10,S}
-2 C u0 p0 c0 {3,S} {4,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-9 C u1 p0 c0 {2,S} {27,S} {28,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {9,S}
-28 H u0 p0 c0 {9,S}
-
-CH3(74)
-multiplicity 2
-1 C u1 p0 c0 {2,S} {3,S} {4,S}
-2 H u0 p0 c0 {1,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-
-C(75)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 H u0 p0 c0 {1,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-
-C10H20L(76)
-multiplicity 2
-1 C u0 p0 c0 {4,S} {5,S} {6,S} {11,S}
-2 C u0 p0 c0 {4,S} {7,S} {8,S} {12,S}
-3 C u0 p0 c0 {5,S} {9,S} {10,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {3,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-8 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {3,S} {18,S} {19,S} {20,S}
-10 C u1 p0 c0 {3,S} {30,S} {31,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {9,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {10,S}
-31 L u0 p0 c0 {10,S}
-
-C5H8L(77)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S}
-3 C u1 p0 c0 {1,S} {5,S} {12,S}
-4 C u0 p0 c0 {2,S} {5,D} {13,S}
-5 C u0 p0 c0 {3,S} {4,D} {14,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 L u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-
-C3H4R(78)
-multiplicity 2
-1 C u0 p0 c0 {2,D} {3,S} {4,S}
-2 C u0 p0 c0 {1,D} {5,S} {6,S}
-3 C u1 p0 c0 {1,S} {7,S} {8,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {2,S}
-6 H u0 p0 c0 {2,S}
-7 R u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-
-C4H6R(79)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,D} {4,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 C u1 p0 c0 {2,S} {10,S} {11,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 R u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-
-C[C]1CC1R(80)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {1,S} {2,S} {3,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 R u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C4H7R(81)
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {4,D}
-4 C u0 p0 c0 {3,D} {11,S} {12,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 R u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-
-H(82)
-multiplicity 2
-1 H u1 p0 c0
-
-[H][H](83)
-1 H u0 p0 c0 {2,S}
-2 H u0 p0 c0 {1,S}
-
-C5H9L(84)
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {5,D} {15,S}
-5 C u0 p0 c0 {3,S} {4,D} {14,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {5,S}
-15 H u0 p0 c0 {4,S}
-
-C7H15(85)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u1 p0 c0 {2,S} {21,S} {22,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-
-C3H5L(86)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {3,D} {7,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 L u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-
-CC(C)CC(C)C(87)
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {6,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {2,S} {21,S} {22,S} {23,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-
-RC1[CH]C1(88)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S}
-3 C u1 p0 c0 {1,S} {2,S} {8,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 R u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {3,S}
-
-C5H8L(89)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u1 p0 c0 {1,S} {4,S} {11,S}
-4 C u0 p0 c0 {3,S} {5,D} {12,S}
-5 C u0 p0 c0 {4,D} {13,S} {14,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-
-C6H10R(90)
-multiplicity 2
-1 C u0 p0 c0 {4,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-3 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {2,S} {6,S}
-5 C u0 p0 c0 {3,S} {6,D} {16,S}
-6 C u0 p0 c0 {4,S} {5,D} {17,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 R u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-
-C4H5L(91)
-1 C u0 p0 c0 {2,S} {3,D} {5,S}
-2 C u0 p0 c0 {1,S} {4,D} {6,S}
-3 C u0 p0 c0 {1,D} {7,S} {8,S}
-4 C u0 p0 c0 {2,D} {9,S} {10,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-9 L u0 p0 c0 {4,S}
-10 H u0 p0 c0 {4,S}
-
-C6H9L2(92)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {2,S} {5,S} {14,S}
-5 C u0 p0 c0 {4,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 L u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C[CH]CC(93)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S}
-3 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-4 C u1 p0 c0 {1,S} {3,S} {13,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-
-C[CH]C(94)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
-3 C u1 p0 c0 {1,S} {2,S} {10,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-
-CCC(95)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C5H8L(96)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u1 p0 c0 {1,S} {4,S} {11,S}
-4 C u0 p0 c0 {3,S} {5,D} {12,S}
-5 C u0 p0 c0 {4,D} {13,S} {14,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 L u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-
-C7H11LR(97)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
-5 C u1 p0 c0 {2,S} {6,S} {17,S}
-6 C u0 p0 c0 {5,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 L u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C6H11R(98)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {4,S} {6,D}
-6 C u0 p0 c0 {1,S} {5,D} {18,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-
-C6H9LR(99)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {1,S} {3,S} {14,S}
-5 C u0 p0 c0 {2,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 R u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C7H9LR(100)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u1 p0 c0 {2,S} {5,S} {13,S}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,S} {7,D} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 C u0 p0 c0 {5,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 R u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-CC(L)C[CH]L(101)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {2,S} {12,S} {13,S}
-5 L u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 L u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-
-C3H5(102)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,D} {4,S}
-2 C u1 p0 c0 {1,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,D} {5,S} {6,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {3,S}
-6 H u0 p0 c0 {3,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-
-C6H10L(103)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {3,S} {5,S} {6,D}
-5 C u1 p0 c0 {1,S} {4,S} {15,S}
-6 C u0 p0 c0 {4,D} {16,S} {17,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C5H7L(104)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {3,S} {4,D}
-3 C u0 p0 c0 {2,S} {5,D} {9,S}
-4 C u0 p0 c0 {2,D} {10,S} {11,S}
-5 C u0 p0 c0 {3,D} {12,S} {13,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-12 L u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-
-C6H9R(105)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {2,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {13,S} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 R u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C7H11L2(106)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u1 p0 c0 {2,S} {4,S} {6,S}
-6 C u0 p0 c0 {5,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {19,S} {20,S}
-8 L u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 L u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C6H11L(107)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {4,S} {6,D}
-6 C u0 p0 c0 {1,S} {5,D} {18,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-
-C7H12R(108)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {4,S} {6,S} {7,D}
-6 C u1 p0 c0 {1,S} {5,S} {18,S}
-7 C u0 p0 c0 {5,D} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C7H12R(109)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {1,S} {3,S} {7,S} {9,S}
-3 C u0 p0 c0 {2,S} {7,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {7,S} {18,S} {19,S} {20,S}
-7 C u1 p0 c0 {2,S} {3,S} {6,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 R u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-
-C6H10(110)
-1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {6,D}
-4 C u0 p0 c0 {2,S} {5,D} {13,S}
-5 C u0 p0 c0 {3,S} {4,D} {14,S}
-6 C u0 p0 c0 {3,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C6H9R(111)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {2,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {13,S} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 R u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C8H14L(112)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-6 C u1 p0 c0 {2,S} {4,S} {8,S}
-7 C u0 p0 c0 {5,S} {8,D} {22,S}
-8 C u0 p0 c0 {6,S} {7,D} {23,S}
-9 L u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-
-C6H9(113)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,D} {5,S}
-3 C u0 p0 c0 {2,D} {4,S} {10,S}
-4 C u0 p0 c0 {3,S} {6,D} {11,S}
-5 C u1 p0 c0 {2,S} {12,S} {13,S}
-6 C u0 p0 c0 {4,D} {14,S} {15,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {6,S}
-
-C6H9(114)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u1 p0 c0 {2,S} {6,S} {14,S}
-6 C u0 p0 c0 {4,D} {5,S} {15,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-
-C12H18(115)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S}
-3 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S}
-4 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-5 C u0 p0 c0 {4,S} {9,S} {18,S} {19,S}
-6 C u0 p0 c0 {3,S} {12,S} {20,S} {21,S}
-7 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
-8 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S}
-9 C u0 p0 c0 {5,S} {8,S} {10,D}
-10 C u0 p0 c0 {2,S} {9,D} {28,S}
-11 C u0 p0 c0 {1,S} {12,D} {30,S}
-12 C u0 p0 c0 {6,S} {11,D} {29,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {10,S}
-29 H u0 p0 c0 {12,S}
-30 H u0 p0 c0 {11,S}
-
-C6H10(116)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S}
-4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-5 C u0 p0 c0 {2,S} {4,S} {6,D}
-6 C u0 p0 c0 {3,S} {5,D} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {6,S}
-
-C12H18(117)
-1 C u0 p0 c0 {2,S} {3,S} {11,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {14,S}
-3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {9,S} {19,S} {20,S}
-6 C u0 p0 c0 {4,S} {10,S} {21,S} {22,S}
-7 C u0 p0 c0 {9,S} {23,S} {24,S} {25,S}
-8 C u0 p0 c0 {10,S} {26,S} {27,S} {28,S}
-9 C u0 p0 c0 {5,S} {7,S} {11,D}
-10 C u0 p0 c0 {6,S} {8,S} {12,D}
-11 C u0 p0 c0 {1,S} {9,D} {29,S}
-12 C u0 p0 c0 {2,S} {10,D} {30,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {11,S}
-30 H u0 p0 c0 {12,S}
-
-C6H8(118)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {5,D}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {6,S} {13,S}
-6 C u0 p0 c0 {4,D} {5,S} {14,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-
-C10H14L(119)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u1 p0 c0 {2,S} {7,S} {18,S}
-6 C u0 p0 c0 {4,D} {8,S} {19,S}
-7 C u0 p0 c0 {5,S} {10,D} {21,S}
-8 C u0 p0 c0 {6,S} {9,D} {20,S}
-9 C u0 p0 c0 {8,D} {22,S} {23,S}
-10 C u0 p0 c0 {7,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-24 L u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C7H13R(120)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {4,S} {5,S} {7,D}
-7 C u0 p0 c0 {1,S} {6,D} {21,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {7,S}
-
-C10H14L(121)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {3,S} {7,S} {9,D}
-5 C u0 p0 c0 {1,S} {7,D} {18,S}
-6 C u1 p0 c0 {2,S} {8,S} {19,S}
-7 C u0 p0 c0 {4,S} {5,D} {20,S}
-8 C u0 p0 c0 {6,S} {10,D} {21,S}
-9 C u0 p0 c0 {4,D} {22,S} {23,S}
-10 C u0 p0 c0 {8,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-24 L u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C9H14L(122)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {7,D}
-6 C u1 p0 c0 {2,S} {4,S} {20,S}
-7 C u0 p0 c0 {5,D} {8,S} {21,S}
-8 C u0 p0 c0 {7,S} {9,D} {22,S}
-9 C u0 p0 c0 {8,D} {23,S} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 L u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C6H7(123)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S}
-2 C u1 p0 c0 {1,S} {3,S} {4,S}
-3 C u0 p0 c0 {2,S} {5,D} {12,S}
-4 C u0 p0 c0 {2,S} {6,D} {13,S}
-5 C u0 p0 c0 {3,D} {6,S} {10,S}
-6 C u0 p0 c0 {4,D} {5,S} {11,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {6,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-
-C5H9LR(124)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {6,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 C u1 p0 c0 {2,S} {15,S} {16,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 R u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 L u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-
-C6H8(125)
-1 C u0 p0 c0 {4,S} {5,S} {7,S} {8,S}
-2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {4,D} {6,S}
-4 C u0 p0 c0 {1,S} {3,D} {13,S}
-5 C u0 p0 c0 {1,S} {6,D} {12,S}
-6 C u0 p0 c0 {3,S} {5,D} {14,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {6,S}
-
-C7H11(126)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {8,S}
-2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {4,S} {7,D}
-6 C u1 p0 c0 {2,S} {7,S} {17,S}
-7 C u0 p0 c0 {5,D} {6,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-
-C7H11(127)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {11,S} {12,S} {13,S}
-2 C u0 p0 c0 {4,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,D} {5,S}
-4 C u0 p0 c0 {2,S} {3,D} {14,S}
-5 C u0 p0 c0 {3,S} {6,D} {16,S}
-6 C u0 p0 c0 {5,D} {7,S} {15,S}
-7 C u1 p0 c0 {6,S} {17,S} {18,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C8H13LR(128)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-6 C u1 p0 c0 {2,S} {5,S} {7,S}
-7 C u0 p0 c0 {6,S} {8,D} {21,S}
-8 C u0 p0 c0 {7,D} {22,S} {23,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {7,S}
-22 L u0 p0 c0 {8,S}
-23 H u0 p0 c0 {8,S}
-
-C8H11LR(129)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {3,S} {6,S}
-5 C u0 p0 c0 {2,S} {7,D} {16,S}
-6 C u0 p0 c0 {4,S} {8,D} {17,S}
-7 C u0 p0 c0 {5,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 R u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C7H10L(130)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u1 p0 c0 {2,S} {5,S} {13,S}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,S} {7,D} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 C u0 p0 c0 {5,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C6H10L(131)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S}
-4 C u1 p0 c0 {1,S} {3,S} {5,S}
-5 C u0 p0 c0 {4,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 L u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C9H14L(132)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {8,S} {9,D}
-6 C u1 p0 c0 {1,S} {4,S} {20,S}
-7 C u0 p0 c0 {2,S} {8,D} {21,S}
-8 C u0 p0 c0 {5,S} {7,D} {22,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 L u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C6H8R2(133)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {2,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {13,S} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 R u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C8H11LR(134)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {6,S} {16,S}
-6 C u0 p0 c0 {5,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 R u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C11H16L(135)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {7,D}
-6 C u1 p0 c0 {2,S} {4,S} {8,S}
-7 C u0 p0 c0 {5,D} {9,S} {22,S}
-8 C u0 p0 c0 {6,S} {11,D} {24,S}
-9 C u0 p0 c0 {7,S} {10,D} {23,S}
-10 C u0 p0 c0 {9,D} {25,S} {26,S}
-11 C u0 p0 c0 {8,D} {27,S} {28,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {10,S}
-27 L u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C11H16L(136)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u1 p0 c0 {1,S} {3,S} {9,S}
-6 C u0 p0 c0 {4,S} {8,S} {10,D}
-7 C u0 p0 c0 {2,S} {8,D} {22,S}
-8 C u0 p0 c0 {6,S} {7,D} {23,S}
-9 C u0 p0 c0 {5,S} {11,D} {24,S}
-10 C u0 p0 c0 {6,D} {25,S} {26,S}
-11 C u0 p0 c0 {9,D} {27,S} {28,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {3,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {10,S}
-27 L u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C10H16R(137)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S}
-6 C u1 p0 c0 {1,S} {3,S} {4,S}
-7 C u0 p0 c0 {2,S} {5,S} {8,D}
-8 C u0 p0 c0 {7,D} {9,S} {24,S}
-9 C u0 p0 c0 {8,S} {10,D} {25,S}
-10 C u0 p0 c0 {9,D} {26,S} {27,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 R u0 p0 c0 {4,S}
-22 H u0 p0 c0 {4,S}
-23 H u0 p0 c0 {4,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {10,S}
-
-C5H9LR(138)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-5 C u1 p0 c0 {2,S} {4,S} {16,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-
-C6H10L(139)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {1,S} {3,S} {14,S}
-5 C u0 p0 c0 {2,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C10H16R(140)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S}
-3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S}
-6 C u1 p0 c0 {1,S} {3,S} {4,S}
-7 C u0 p0 c0 {5,S} {9,S} {10,D}
-8 C u0 p0 c0 {2,S} {9,D} {24,S}
-9 C u0 p0 c0 {7,S} {8,D} {25,S}
-10 C u0 p0 c0 {7,D} {26,S} {27,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 R u0 p0 c0 {4,S}
-22 H u0 p0 c0 {4,S}
-23 H u0 p0 c0 {4,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {10,S}
-
-C8H12L(141)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {3,S} {6,S}
-5 C u0 p0 c0 {2,S} {7,D} {16,S}
-6 C u0 p0 c0 {4,S} {8,D} {17,S}
-7 C u0 p0 c0 {5,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C9H13LR(142)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {2,S} {4,S} {7,S}
-6 C u0 p0 c0 {1,S} {3,S} {8,D}
-7 C u0 p0 c0 {5,S} {9,D} {20,S}
-8 C u0 p0 c0 {6,D} {21,S} {22,S}
-9 C u0 p0 c0 {7,D} {23,S} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 R u0 p0 c0 {8,S}
-22 H u0 p0 c0 {8,S}
-23 L u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C7H11LR(143)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {3,S} {7,D}
-6 C u1 p0 c0 {2,S} {4,S} {18,S}
-7 C u0 p0 c0 {5,D} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 L u0 p0 c0 {6,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C6H9LR(144)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {8,S}
-3 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-4 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S}
-5 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
-6 C u1 p0 c0 {2,S} {16,S} {17,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {4,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 R u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C6H9L2(145)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {2,S} {5,S} {14,S}
-5 C u0 p0 c0 {4,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 L u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C7H11R2(146)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u1 p0 c0 {1,S} {3,S} {4,S}
-6 C u0 p0 c0 {2,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {19,S} {20,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C3H4L(147)
-multiplicity 2
-1 C u0 p0 c0 {2,D} {3,S} {4,S}
-2 C u0 p0 c0 {1,D} {5,S} {6,S}
-3 C u1 p0 c0 {1,S} {7,S} {8,S}
-4 L u0 p0 c0 {1,S}
-5 H u0 p0 c0 {2,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-
-C7H9LR(148)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-5 C u1 p0 c0 {3,S} {4,S} {15,S}
-6 C u0 p0 c0 {1,S} {7,D} {16,S}
-7 C u0 p0 c0 {6,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-L[C]1CC1(149)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {3,S} {6,S} {7,S}
-3 C u1 p0 c0 {1,S} {2,S} {8,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 L u0 p0 c0 {3,S}
-
-C7H9LR(150)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {8,S}
-2 C u0 p0 c0 {3,S} {5,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-5 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-6 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-7 C u1 p0 c0 {2,S} {6,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {5,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 R u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 L u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-
-C7H9LR(151)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-5 C u0 p0 c0 {4,S} {6,D} {15,S}
-6 C u0 p0 c0 {3,S} {5,D} {16,S}
-7 C u1 p0 c0 {1,S} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 L u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 R u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C7H9L2(152)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u1 p0 c0 {2,S} {5,S} {13,S}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,S} {7,D} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 C u0 p0 c0 {5,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 L u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C7H12R(153)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-5 C u1 p0 c0 {1,S} {3,S} {4,S}
-6 C u0 p0 c0 {2,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {19,S} {20,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C7H9LR(154)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {3,S} {4,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-6 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S}
-7 C u1 p0 c0 {2,S} {6,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {5,S}
-12 L u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 R u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-
-CC[C](C)L(155)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {7,S} {8,S} {9,S}
-3 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-4 C u1 p0 c0 {1,S} {3,S} {13,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 L u0 p0 c0 {4,S}
-
-C4H7(156)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,S} {4,D}
-3 C u1 p0 c0 {2,S} {10,S} {11,S}
-4 C u0 p0 c0 {2,D} {8,S} {9,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {4,S}
-9 H u0 p0 c0 {4,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C4H8(157)
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {3,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {4,D}
-4 C u0 p0 c0 {3,D} {11,S} {12,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-
-C[C]1CC1(158)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {1,S} {2,S} {3,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C9H15(159)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {3,S} {11,S} {12,S}
-3 C u0 p0 c0 {2,S} {7,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {3,S} {5,S} {9,D}
-8 C u1 p0 c0 {4,S} {6,S} {23,S}
-9 C u0 p0 c0 {1,S} {7,D} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-
-C6H9(160)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {3,S} {5,S} {6,D}
-5 C u1 p0 c0 {2,S} {4,S} {15,S}
-6 C u0 p0 c0 {1,S} {4,D} {14,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {5,S}
-
-C6H9(161)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,D} {4,S}
-3 C u0 p0 c0 {2,D} {5,S} {10,S}
-4 C u0 p0 c0 {2,S} {6,D} {11,S}
-5 C u1 p0 c0 {3,S} {12,S} {13,S}
-6 C u0 p0 c0 {4,D} {14,S} {15,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {6,S}
-
-C8H11L2(162)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {3,S} {6,S}
-5 C u0 p0 c0 {2,S} {7,D} {16,S}
-6 C u0 p0 c0 {4,S} {8,D} {17,S}
-7 C u0 p0 c0 {5,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C6H10(163)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {2,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {13,S} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C8H12L(164)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {6,S} {16,S}
-6 C u0 p0 c0 {5,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C6H8R2(165)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {2,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {13,S} {14,S}
-6 C u0 p0 c0 {4,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 R u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 R u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C9H14L(166)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {7,D} {8,S}
-6 C u1 p0 c0 {1,S} {4,S} {20,S}
-7 C u0 p0 c0 {2,S} {5,D} {21,S}
-8 C u0 p0 c0 {5,S} {9,D} {22,S}
-9 C u0 p0 c0 {8,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 L u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C10H14L(167)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {3,S} {5,D} {7,S}
-5 C u0 p0 c0 {1,S} {4,D} {18,S}
-6 C u1 p0 c0 {2,S} {8,S} {19,S}
-7 C u0 p0 c0 {4,S} {9,D} {20,S}
-8 C u0 p0 c0 {6,S} {10,D} {21,S}
-9 C u0 p0 c0 {7,D} {22,S} {23,S}
-10 C u0 p0 c0 {8,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-24 L u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C11H16L(168)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u1 p0 c0 {1,S} {3,S} {8,S}
-6 C u0 p0 c0 {4,S} {7,D} {9,S}
-7 C u0 p0 c0 {2,S} {6,D} {22,S}
-8 C u0 p0 c0 {5,S} {11,D} {24,S}
-9 C u0 p0 c0 {6,S} {10,D} {23,S}
-10 C u0 p0 c0 {9,D} {25,S} {26,S}
-11 C u0 p0 c0 {8,D} {27,S} {28,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {3,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {10,S}
-27 L u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C6H10L(169)
-multiplicity 2
-1 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-2 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {7,S} {8,S} {9,S}
-4 C u0 p0 c0 {1,S} {2,S} {6,D}
-5 C u1 p0 c0 {3,S} {6,S} {16,S}
-6 C u0 p0 c0 {4,D} {5,S} {17,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 L u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-
-C6H9L2(170)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {1,S} {3,S} {14,S}
-5 C u0 p0 c0 {2,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 L u0 p0 c0 {4,S}
-15 L u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C6H10R(171)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {1,S} {5,S} {14,S}
-5 C u0 p0 c0 {4,S} {6,D} {15,S}
-6 C u0 p0 c0 {5,D} {16,S} {17,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 R u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-
-C7H11LR(172)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {8,S}
-3 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-4 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S}
-5 C u0 p0 c0 {1,S} {13,S} {14,S} {15,S}
-6 C u0 p0 c0 {2,S} {16,S} {17,S} {18,S}
-7 C u1 p0 c0 {1,S} {19,S} {20,S}
-8 L u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C5H8(173)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {3,D} {9,S}
-3 C u0 p0 c0 {2,D} {4,S} {11,S}
-4 C u0 p0 c0 {3,S} {5,D} {10,S}
-5 C u0 p0 c0 {4,D} {12,S} {13,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-
-C5H7(174)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,D} {7,S}
-2 C u0 p0 c0 {1,S} {5,D} {6,S}
-3 C u0 p0 c0 {1,D} {4,S} {8,S}
-4 C u1 p0 c0 {3,S} {11,S} {12,S}
-5 C u0 p0 c0 {2,D} {9,S} {10,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {5,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-
-C9H12L(175)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,D} {14,S}
-4 C u1 p0 c0 {2,S} {6,S} {15,S}
-5 C u0 p0 c0 {3,D} {7,S} {17,S}
-6 C u0 p0 c0 {4,S} {9,D} {18,S}
-7 C u0 p0 c0 {5,S} {8,D} {16,S}
-8 C u0 p0 c0 {7,D} {19,S} {20,S}
-9 C u0 p0 c0 {6,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {8,S}
-21 L u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C8H12L(176)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {3,S} {16,S}
-5 C u0 p0 c0 {2,S} {6,D} {17,S}
-6 C u0 p0 c0 {5,D} {7,S} {19,S}
-7 C u0 p0 c0 {6,S} {8,D} {18,S}
-8 C u0 p0 c0 {7,D} {20,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 L u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C9H14R(177)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {1,S} {3,S} {4,S}
-6 C u0 p0 c0 {2,S} {7,D} {20,S}
-7 C u0 p0 c0 {6,D} {8,S} {22,S}
-8 C u0 p0 c0 {7,S} {9,D} {21,S}
-9 C u0 p0 c0 {8,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 R u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C5H7(178)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S}
-3 C u1 p0 c0 {1,S} {5,S} {10,S}
-4 C u0 p0 c0 {2,S} {5,D} {11,S}
-5 C u0 p0 c0 {3,S} {4,D} {12,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-
-C10H14(179)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {2,S} {6,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {6,D} {19,S}
-6 C u0 p0 c0 {4,S} {5,D} {18,S}
-7 C u0 p0 c0 {3,S} {8,D} {20,S}
-8 C u0 p0 c0 {7,D} {9,S} {22,S}
-9 C u0 p0 c0 {8,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C5H8(180)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-4 C u0 p0 c0 {2,S} {5,D} {12,S}
-5 C u0 p0 c0 {3,S} {4,D} {13,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-
-C11H17(181)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-5 C u1 p0 c0 {1,S} {3,S} {8,S}
-6 C u0 p0 c0 {2,S} {9,D} {22,S}
-7 C u0 p0 c0 {4,S} {8,D} {23,S}
-8 C u0 p0 c0 {5,S} {7,D} {26,S}
-9 C u0 p0 c0 {6,D} {10,S} {25,S}
-10 C u0 p0 c0 {9,S} {11,D} {24,S}
-11 C u0 p0 c0 {10,D} {27,S} {28,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C10H14L(182)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u1 p0 c0 {1,S} {3,S} {6,S}
-5 C u0 p0 c0 {2,S} {7,D} {18,S}
-6 C u0 p0 c0 {4,S} {10,D} {21,S}
-7 C u0 p0 c0 {5,D} {8,S} {20,S}
-8 C u0 p0 c0 {7,S} {9,D} {19,S}
-9 C u0 p0 c0 {8,D} {22,S} {23,S}
-10 C u0 p0 c0 {6,D} {24,S} {25,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-24 L u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C10H15(183)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-4 C u1 p0 c0 {2,S} {7,S} {20,S}
-5 C u0 p0 c0 {1,S} {8,D} {18,S}
-6 C u0 p0 c0 {3,S} {7,D} {19,S}
-7 C u0 p0 c0 {4,S} {6,D} {23,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {8,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C10H14(184)
-1 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {5,D} {15,S}
-4 C u0 p0 c0 {2,S} {6,D} {16,S}
-5 C u0 p0 c0 {3,D} {7,S} {18,S}
-6 C u0 p0 c0 {4,D} {8,S} {20,S}
-7 C u0 p0 c0 {5,S} {9,D} {17,S}
-8 C u0 p0 c0 {6,S} {10,D} {19,S}
-9 C u0 p0 c0 {7,D} {21,S} {22,S}
-10 C u0 p0 c0 {8,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C9H12L(185)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,D} {14,S}
-4 C u1 p0 c0 {2,S} {6,S} {15,S}
-5 C u0 p0 c0 {3,D} {7,S} {17,S}
-6 C u0 p0 c0 {4,S} {9,D} {18,S}
-7 C u0 p0 c0 {5,S} {8,D} {16,S}
-8 C u0 p0 c0 {7,D} {19,S} {20,S}
-9 C u0 p0 c0 {6,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 L u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C10H14(186)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {6,S} {15,S} {16,S}
-5 C u0 p0 c0 {3,S} {9,S} {17,S} {18,S}
-6 C u0 p0 c0 {4,S} {10,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {9,D} {22,S}
-8 C u0 p0 c0 {2,S} {10,D} {24,S}
-9 C u0 p0 c0 {5,S} {7,D} {21,S}
-10 C u0 p0 c0 {6,S} {8,D} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {8,S}
-
-C5H6(187)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,D} {8,S}
-3 C u0 p0 c0 {1,S} {5,D} {9,S}
-4 C u0 p0 c0 {2,D} {5,S} {10,S}
-5 C u0 p0 c0 {3,D} {4,S} {11,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {5,S}
-
-C11H18L(188)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-3 C u0 p0 c0 {4,S} {7,S} {18,S} {19,S}
-4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-6 C u0 p0 c0 {7,S} {23,S} {24,S} {25,S}
-7 C u1 p0 c0 {2,S} {3,S} {6,S}
-8 C u0 p0 c0 {4,S} {9,D} {26,S}
-9 C u0 p0 c0 {8,D} {10,S} {28,S}
-10 C u0 p0 c0 {9,S} {11,D} {27,S}
-11 C u0 p0 c0 {10,D} {29,S} {30,S}
-12 L u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {10,S}
-28 H u0 p0 c0 {9,S}
-29 H u0 p0 c0 {11,S}
-30 H u0 p0 c0 {11,S}
-
-C5H5(189)
-multiplicity 2
-1 C u1 p0 c0 {3,S} {5,S} {9,S}
-2 C u0 p0 c0 {3,D} {4,S} {6,S}
-3 C u0 p0 c0 {1,S} {2,D} {7,S}
-4 C u0 p0 c0 {2,S} {5,D} {8,S}
-5 C u0 p0 c0 {1,S} {4,D} {10,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {4,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {5,S}
-
-C9H14L(190)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {2,S} {4,S} {7,S}
-6 C u0 p0 c0 {1,S} {3,S} {8,D}
-7 C u0 p0 c0 {5,S} {9,D} {20,S}
-8 C u0 p0 c0 {6,D} {21,S} {22,S}
-9 C u0 p0 c0 {7,D} {23,S} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {8,S}
-23 L u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C8H13(191)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {3,S} {16,S}
-5 C u0 p0 c0 {2,S} {6,D} {17,S}
-6 C u0 p0 c0 {5,D} {7,S} {19,S}
-7 C u0 p0 c0 {6,S} {8,D} {18,S}
-8 C u0 p0 c0 {7,D} {20,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C12H20R(192)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-3 C u0 p0 c0 {4,S} {8,S} {18,S} {19,S}
-4 C u0 p0 c0 {3,S} {9,S} {14,S} {15,S}
-5 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S}
-7 C u0 p0 c0 {8,S} {26,S} {27,S} {28,S}
-8 C u1 p0 c0 {2,S} {3,S} {7,S}
-9 C u0 p0 c0 {4,S} {10,D} {29,S}
-10 C u0 p0 c0 {9,D} {11,S} {31,S}
-11 C u0 p0 c0 {10,S} {12,D} {30,S}
-12 C u0 p0 c0 {11,D} {32,S} {33,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 R u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {7,S}
-29 H u0 p0 c0 {9,S}
-30 H u0 p0 c0 {11,S}
-31 H u0 p0 c0 {10,S}
-32 H u0 p0 c0 {12,S}
-33 H u0 p0 c0 {12,S}
-
-C7H12L(193)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u1 p0 c0 {2,S} {7,S} {18,S}
-6 C u0 p0 c0 {4,S} {7,D} {19,S}
-7 C u0 p0 c0 {5,S} {6,D} {20,S}
-8 L u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-
-C8H12(194)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,D} {13,S}
-4 C u0 p0 c0 {2,S} {7,D} {14,S}
-5 C u0 p0 c0 {3,D} {6,S} {16,S}
-6 C u0 p0 c0 {5,S} {8,D} {15,S}
-7 C u0 p0 c0 {4,D} {19,S} {20,S}
-8 C u0 p0 c0 {6,D} {17,S} {18,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {8,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-[CH2]CC(195)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u1 p0 c0 {1,S} {9,S} {10,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-
-C2H4(196)
-1 C u0 p0 c0 {2,D} {3,S} {4,S}
-2 C u0 p0 c0 {1,D} {5,S} {6,S}
-3 H u0 p0 c0 {1,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {2,S}
-6 H u0 p0 c0 {2,S}
-
-C8H13(197)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {3,S} {11,S} {12,S}
-5 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-6 C u0 p0 c0 {2,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {8,S} {19,S}
-8 C u1 p0 c0 {7,S} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C8H13(198)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {1,S} {8,D} {15,S}
-6 C u1 p0 c0 {2,S} {16,S} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {5,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C7H12R(199)
-multiplicity 2
-1 C u0 p0 c0 {5,S} {8,S} {9,S} {10,S}
-2 C u0 p0 c0 {5,S} {11,S} {12,S} {13,S}
-3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {1,S} {2,S} {7,S}
-6 C u0 p0 c0 {3,S} {4,S} {7,D}
-7 C u0 p0 c0 {5,S} {6,D} {20,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 R u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-
-C10H14(200)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {8,D} {14,S}
-4 C u0 p0 c0 {1,S} {9,D} {15,S}
-5 C u0 p0 c0 {2,S} {6,D} {16,S}
-6 C u0 p0 c0 {5,D} {7,S} {18,S}
-7 C u0 p0 c0 {6,S} {10,D} {17,S}
-8 C u0 p0 c0 {3,D} {19,S} {20,S}
-9 C u0 p0 c0 {4,D} {21,S} {22,S}
-10 C u0 p0 c0 {7,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C10H12(201)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {6,D} {14,S}
-4 C u0 p0 c0 {1,S} {7,D} {15,S}
-5 C u0 p0 c0 {2,S} {8,D} {16,S}
-6 C u0 p0 c0 {3,D} {7,S} {17,S}
-7 C u0 p0 c0 {4,D} {6,S} {18,S}
-8 C u0 p0 c0 {5,D} {9,S} {20,S}
-9 C u0 p0 c0 {8,S} {10,D} {19,S}
-10 C u0 p0 c0 {9,D} {21,S} {22,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {10,S}
-
-C10H13(202)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-4 C u1 p0 c0 {1,S} {7,S} {17,S}
-5 C u0 p0 c0 {2,S} {8,D} {16,S}
-6 C u0 p0 c0 {3,S} {7,D} {18,S}
-7 C u0 p0 c0 {4,S} {6,D} {21,S}
-8 C u0 p0 c0 {5,D} {9,S} {20,S}
-9 C u0 p0 c0 {8,S} {10,D} {19,S}
-10 C u0 p0 c0 {9,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C5H9L2(203)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-5 C u1 p0 c0 {2,S} {4,S} {16,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 L u0 p0 c0 {5,S}
-
-C11H16(204)
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {12,S}
-2 C u0 p0 c0 {1,S} {3,S} {13,S} {14,S}
-3 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-4 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {3,S} {5,S} {7,D}
-7 C u0 p0 c0 {1,S} {6,D} {23,S}
-8 C u0 p0 c0 {4,S} {9,D} {22,S}
-9 C u0 p0 c0 {8,D} {10,S} {25,S}
-10 C u0 p0 c0 {9,S} {11,D} {24,S}
-11 C u0 p0 c0 {10,D} {26,S} {27,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {11,S}
-
-C10H14L(205)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {3,S} {5,S} {9,D}
-5 C u1 p0 c0 {2,S} {4,S} {19,S}
-6 C u0 p0 c0 {1,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {8,S} {21,S}
-8 C u0 p0 c0 {7,S} {10,D} {20,S}
-9 C u0 p0 c0 {4,D} {24,S} {25,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 L u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-
-C7H11LR(206)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
-5 C u1 p0 c0 {2,S} {6,S} {17,S}
-6 C u0 p0 c0 {5,S} {7,D} {18,S}
-7 C u0 p0 c0 {6,D} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C8H9R(207)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S}
-2 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {6,D} {12,S}
-4 C u0 p0 c0 {1,S} {7,D} {13,S}
-5 C u0 p0 c0 {2,S} {8,D} {14,S}
-6 C u0 p0 c0 {3,D} {7,S} {15,S}
-7 C u0 p0 c0 {4,D} {6,S} {16,S}
-8 C u0 p0 c0 {5,D} {17,S} {18,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {7,S}
-17 R u0 p0 c0 {8,S}
-18 H u0 p0 c0 {8,S}
-
-C8H11LR(208)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
-5 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-6 C u1 p0 c0 {3,S} {4,S} {5,S}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {7,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 R u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C8H11LR(209)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {7,S}
-2 C u0 p0 c0 {3,S} {5,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-5 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-6 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-7 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-8 C u1 p0 c0 {2,S} {6,S} {21,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {5,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 R u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 L u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-
-C10H13(210)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {6,S} {12,S}
-3 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S}
-4 C u1 p0 c0 {1,S} {8,S} {18,S}
-5 C u0 p0 c0 {2,S} {9,D} {15,S}
-6 C u0 p0 c0 {2,S} {10,D} {16,S}
-7 C u0 p0 c0 {3,S} {8,D} {17,S}
-8 C u0 p0 c0 {4,S} {7,D} {19,S}
-9 C u0 p0 c0 {5,D} {20,S} {21,S}
-10 C u0 p0 c0 {6,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C11H16(211)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {1,S} {7,D} {23,S}
-7 C u0 p0 c0 {4,S} {6,D} {22,S}
-8 C u0 p0 c0 {3,S} {9,D} {21,S}
-9 C u0 p0 c0 {8,D} {10,S} {25,S}
-10 C u0 p0 c0 {9,S} {11,D} {24,S}
-11 C u0 p0 c0 {10,D} {26,S} {27,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {11,S}
-
-C7H9LR(212)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-4 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-5 C u0 p0 c0 {3,S} {6,D} {15,S}
-6 C u0 p0 c0 {4,S} {5,D} {16,S}
-7 C u1 p0 c0 {1,S} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 R u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C8H11R(213)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,D} {13,S}
-4 C u0 p0 c0 {2,S} {7,D} {14,S}
-5 C u0 p0 c0 {3,D} {6,S} {16,S}
-6 C u0 p0 c0 {5,S} {8,D} {15,S}
-7 C u0 p0 c0 {4,D} {19,S} {20,S}
-8 C u0 p0 c0 {6,D} {17,S} {18,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {8,S}
-18 H u0 p0 c0 {8,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C8H14R(214)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {7,S} {18,S} {19,S} {20,S}
-6 C u1 p0 c0 {2,S} {8,S} {22,S}
-7 C u0 p0 c0 {5,S} {8,D} {21,S}
-8 C u0 p0 c0 {6,S} {7,D} {23,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {8,S}
-
-C7H9LR(215)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {8,S}
-2 C u0 p0 c0 {3,S} {5,S} {7,S} {9,S}
-3 C u0 p0 c0 {1,S} {2,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {5,S} {10,S} {11,S}
-5 C u0 p0 c0 {2,S} {4,S} {12,S} {13,S}
-6 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-7 C u1 p0 c0 {2,S} {6,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-14 L u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 R u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-
-C8H13R2(216)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {7,S} {9,S} {10,S}
-3 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {7,S} {13,S} {14,S} {15,S}
-6 C u1 p0 c0 {1,S} {3,S} {4,S}
-7 C u0 p0 c0 {2,S} {5,S} {8,D}
-8 C u0 p0 c0 {7,D} {22,S} {23,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 R u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 R u0 p0 c0 {8,S}
-23 H u0 p0 c0 {8,S}
-
-C7H9LR(217)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-5 C u1 p0 c0 {3,S} {4,S} {15,S}
-6 C u0 p0 c0 {1,S} {7,D} {16,S}
-7 C u0 p0 c0 {6,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {4,S}
-13 L u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 R u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C7H9LR(218)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {10,S} {11,S}
-3 C u0 p0 c0 {2,S} {5,D} {13,S}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {7,S} {14,S}
-6 C u0 p0 c0 {4,D} {17,S} {18,S}
-7 C u1 p0 c0 {5,S} {15,S} {16,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 R u0 p0 c0 {7,S}
-16 H u0 p0 c0 {7,S}
-17 L u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-
-C3H4L(219)
-multiplicity 2
-1 C u0 p0 c0 {2,D} {3,S} {4,S}
-2 C u0 p0 c0 {1,D} {5,S} {6,S}
-3 C u1 p0 c0 {1,S} {7,S} {8,S}
-4 H u0 p0 c0 {1,S}
-5 H u0 p0 c0 {2,S}
-6 L u0 p0 c0 {2,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-
-C4H5R(220)
-1 C u0 p0 c0 {2,S} {3,D} {5,S}
-2 C u0 p0 c0 {1,S} {4,D} {6,S}
-3 C u0 p0 c0 {1,D} {7,S} {8,S}
-4 C u0 p0 c0 {2,D} {9,S} {10,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {3,S}
-8 H u0 p0 c0 {3,S}
-9 R u0 p0 c0 {4,S}
-10 H u0 p0 c0 {4,S}
-
-C7H9(221)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
-2 C u0 p0 c0 {1,S} {7,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,D} {11,S}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {6,S} {13,S}
-6 C u0 p0 c0 {4,D} {5,S} {14,S}
-7 C u1 p0 c0 {2,S} {15,S} {16,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {7,S}
-16 H u0 p0 c0 {7,S}
-
-C9H12R(222)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,D} {14,S}
-4 C u1 p0 c0 {2,S} {6,S} {15,S}
-5 C u0 p0 c0 {3,D} {7,S} {17,S}
-6 C u0 p0 c0 {4,S} {9,D} {18,S}
-7 C u0 p0 c0 {5,S} {8,D} {16,S}
-8 C u0 p0 c0 {7,D} {19,S} {20,S}
-9 C u0 p0 c0 {6,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {8,S}
-21 R u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C9H15(223)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {1,S} {3,S} {4,S}
-6 C u0 p0 c0 {2,S} {7,D} {20,S}
-7 C u0 p0 c0 {6,D} {8,S} {22,S}
-8 C u0 p0 c0 {7,S} {9,D} {21,S}
-9 C u0 p0 c0 {8,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C4H6R(224)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {3,D} {4,S}
-3 C u0 p0 c0 {2,D} {8,S} {9,S}
-4 C u1 p0 c0 {2,S} {10,S} {11,S}
-5 R u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {3,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-
-RC[C]1CC1(225)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {8,S}
-3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {1,S} {2,S} {3,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 R u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-
-C11H15(226)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {7,S} {8,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {4,S} {9,D}
-6 C u1 p0 c0 {1,S} {9,S} {21,S}
-7 C u0 p0 c0 {2,S} {10,D} {19,S}
-8 C u0 p0 c0 {2,S} {11,D} {20,S}
-9 C u0 p0 c0 {5,D} {6,S} {22,S}
-10 C u0 p0 c0 {7,D} {23,S} {24,S}
-11 C u0 p0 c0 {8,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C9H14R(227)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {1,S} {3,S} {4,S}
-6 C u0 p0 c0 {2,S} {7,D} {20,S}
-7 C u0 p0 c0 {6,D} {8,S} {22,S}
-8 C u0 p0 c0 {7,S} {9,D} {21,S}
-9 C u0 p0 c0 {8,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C9H13LR(228)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {2,S} {4,S} {7,S}
-6 C u0 p0 c0 {1,S} {3,S} {8,D}
-7 C u0 p0 c0 {5,S} {9,D} {20,S}
-8 C u0 p0 c0 {6,D} {21,S} {22,S}
-9 C u0 p0 c0 {7,D} {23,S} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 R u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {8,S}
-23 L u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C11H16(229)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {7,S} {17,S} {18,S}
-5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {1,S} {5,S} {7,D}
-7 C u0 p0 c0 {4,S} {6,D} {23,S}
-8 C u0 p0 c0 {3,S} {9,D} {22,S}
-9 C u0 p0 c0 {8,D} {10,S} {25,S}
-10 C u0 p0 c0 {9,S} {11,D} {24,S}
-11 C u0 p0 c0 {10,D} {26,S} {27,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {11,S}
-
-C7H10L(230)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {4,D} {12,S}
-4 C u0 p0 c0 {3,D} {5,S} {14,S}
-5 C u0 p0 c0 {4,S} {7,D} {13,S}
-6 C u1 p0 c0 {2,S} {15,S} {16,S}
-7 C u0 p0 c0 {5,D} {17,S} {18,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {4,S}
-15 L u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {7,S}
-
-C9H15(231)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {9,S} {13,S} {14,S}
-5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {1,S} {5,S} {9,D}
-8 C u1 p0 c0 {3,S} {6,S} {23,S}
-9 C u0 p0 c0 {4,S} {7,D} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-
-C10H16R(232)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S}
-3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S}
-6 C u1 p0 c0 {1,S} {3,S} {4,S}
-7 C u0 p0 c0 {5,S} {8,D} {9,S}
-8 C u0 p0 c0 {2,S} {7,D} {24,S}
-9 C u0 p0 c0 {7,S} {10,D} {25,S}
-10 C u0 p0 c0 {9,D} {26,S} {27,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 R u0 p0 c0 {4,S}
-22 H u0 p0 c0 {4,S}
-23 H u0 p0 c0 {4,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {10,S}
-
-C11H15(233)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {4,S} {6,S} {7,D}
-6 C u1 p0 c0 {1,S} {5,S} {22,S}
-7 C u0 p0 c0 {3,S} {5,D} {21,S}
-8 C u0 p0 c0 {2,S} {10,D} {19,S}
-9 C u0 p0 c0 {2,S} {11,D} {20,S}
-10 C u0 p0 c0 {8,D} {23,S} {24,S}
-11 C u0 p0 c0 {9,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C11H15(234)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {4,S} {8,D}
-6 C u1 p0 c0 {3,S} {8,S} {21,S}
-7 C u0 p0 c0 {2,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {6,S} {24,S}
-9 C u0 p0 c0 {7,D} {10,S} {23,S}
-10 C u0 p0 c0 {9,S} {11,D} {22,S}
-11 C u0 p0 c0 {10,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C10H15(235)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {7,D} {18,S}
-5 C u0 p0 c0 {2,S} {6,D} {17,S}
-6 C u0 p0 c0 {5,D} {8,S} {20,S}
-7 C u0 p0 c0 {4,D} {9,S} {21,S}
-8 C u0 p0 c0 {6,S} {10,D} {19,S}
-9 C u1 p0 c0 {7,S} {24,S} {25,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-
-C8H11LR(236)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {6,S} {16,S}
-6 C u0 p0 c0 {5,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {6,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {7,S}
-20 L u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C7H12L(237)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {3,S} {7,D}
-6 C u1 p0 c0 {2,S} {4,S} {18,S}
-7 C u0 p0 c0 {5,D} {19,S} {20,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 L u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {7,S}
-
-C11H17(238)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {9,S} {23,S}
-7 C u0 p0 c0 {4,S} {9,D} {22,S}
-8 C u0 p0 c0 {5,D} {10,S} {24,S}
-9 C u0 p0 c0 {6,S} {7,D} {26,S}
-10 C u0 p0 c0 {8,S} {11,D} {25,S}
-11 C u0 p0 c0 {10,D} {27,S} {28,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C6H7(239)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,D} {6,S}
-3 C u0 p0 c0 {1,S} {5,D} {9,S}
-4 C u0 p0 c0 {2,D} {5,S} {11,S}
-5 C u0 p0 c0 {3,D} {4,S} {10,S}
-6 C u1 p0 c0 {2,S} {12,S} {13,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {6,S}
-13 H u0 p0 c0 {6,S}
-
-C10H13R(240)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u0 p0 c0 {3,S} {8,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {6,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 C u0 p0 c0 {6,D} {21,S} {22,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 R u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C9H12L(241)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {4,S} {19,S}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 L u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-
-C8H11(242)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S}
-3 C u0 p0 c0 {4,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {15,S}
-6 C u0 p0 c0 {3,S} {5,D} {14,S}
-7 C u1 p0 c0 {2,S} {16,S} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-
-C10H12L(243)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {9,S} {18,S}
-6 C u0 p0 c0 {3,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {20,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 C u0 p0 c0 {5,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 L u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C12H14(244)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {9,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {11,D}
-6 C u0 p0 c0 {3,S} {10,S} {12,D}
-7 C u0 p0 c0 {1,S} {10,D} {19,S}
-8 C u0 p0 c0 {2,S} {9,D} {21,S}
-9 C u0 p0 c0 {4,S} {8,D} {20,S}
-10 C u0 p0 c0 {6,S} {7,D} {22,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {6,D} {23,S} {24,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {12,S}
-24 H u0 p0 c0 {12,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C9H12L(245)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {9,S} {21,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 L u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C11H14(246)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {7,S} {10,D}
-5 C u0 p0 c0 {1,S} {7,D} {17,S}
-6 C u0 p0 c0 {3,S} {8,D} {18,S}
-7 C u0 p0 c0 {4,S} {5,D} {19,S}
-8 C u0 p0 c0 {6,D} {9,S} {21,S}
-9 C u0 p0 c0 {8,S} {11,D} {20,S}
-10 C u0 p0 c0 {4,D} {22,S} {23,S}
-11 C u0 p0 c0 {9,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C10H14R(247)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S}
-6 C u1 p0 c0 {1,S} {4,S} {5,S}
-7 C u0 p0 c0 {2,S} {3,S} {9,D}
-8 C u0 p0 c0 {3,S} {10,D} {23,S}
-9 C u0 p0 c0 {7,D} {10,S} {25,S}
-10 C u0 p0 c0 {8,D} {9,S} {24,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 R u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-
-C11H14L(248)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {4,S} {9,S}
-7 C u0 p0 c0 {3,S} {10,D} {21,S}
-8 C u0 p0 c0 {5,D} {10,S} {23,S}
-9 C u0 p0 c0 {6,S} {11,D} {24,S}
-10 C u0 p0 c0 {7,D} {8,S} {22,S}
-11 C u0 p0 c0 {9,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 L u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C10H12L(249)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S}
-6 C u0 p0 c0 {4,S} {5,S} {9,D}
-7 C u1 p0 c0 {2,S} {9,S} {19,S}
-8 C u0 p0 c0 {1,S} {10,D} {20,S}
-9 C u0 p0 c0 {6,D} {7,S} {21,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 L u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C10H14R(250)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {4,S} {5,S} {10,D}
-9 C u1 p0 c0 {2,S} {10,S} {24,S}
-10 C u0 p0 c0 {8,D} {9,S} {25,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 R u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-
-C11H14(251)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {10,D}
-5 C u0 p0 c0 {1,S} {6,D} {18,S}
-6 C u0 p0 c0 {3,S} {5,D} {17,S}
-7 C u0 p0 c0 {2,S} {8,D} {19,S}
-8 C u0 p0 c0 {7,D} {9,S} {21,S}
-9 C u0 p0 c0 {8,S} {11,D} {20,S}
-10 C u0 p0 c0 {4,D} {22,S} {23,S}
-11 C u0 p0 c0 {9,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C6H6(252)
-1 C u0 p0 c0 {2,S} {3,S} {6,D}
-2 C u0 p0 c0 {1,S} {4,D} {7,S}
-3 C u0 p0 c0 {1,S} {5,D} {9,S}
-4 C u0 p0 c0 {2,D} {5,S} {8,S}
-5 C u0 p0 c0 {3,D} {4,S} {10,S}
-6 C u0 p0 c0 {1,D} {11,S} {12,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {4,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {5,S}
-11 H u0 p0 c0 {6,S}
-12 H u0 p0 c0 {6,S}
-
-C9H15L2(253)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-3 C u0 p0 c0 {4,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {3,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {1,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {6,S} {25,S}
-9 C u0 p0 c0 {3,S} {7,D} {26,S}
-10 L u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 L u0 p0 c0 {8,S}
-26 H u0 p0 c0 {9,S}
-
-C12H14(254)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {14,S}
-3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {9,S} {11,D}
-6 C u0 p0 c0 {4,S} {10,S} {12,D}
-7 C u0 p0 c0 {1,S} {9,D} {19,S}
-8 C u0 p0 c0 {2,S} {10,D} {20,S}
-9 C u0 p0 c0 {5,S} {7,D} {21,S}
-10 C u0 p0 c0 {6,S} {8,D} {22,S}
-11 C u0 p0 c0 {5,D} {23,S} {24,S}
-12 C u0 p0 c0 {6,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-
-C12H14(255)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {14,S}
-3 C u0 p0 c0 {5,S} {9,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {10,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {2,S} {4,S} {12,D}
-7 C u0 p0 c0 {1,S} {9,D} {20,S}
-8 C u0 p0 c0 {2,S} {10,D} {22,S}
-9 C u0 p0 c0 {3,S} {7,D} {19,S}
-10 C u0 p0 c0 {4,S} {8,D} {21,S}
-11 C u0 p0 c0 {5,D} {23,S} {24,S}
-12 C u0 p0 c0 {6,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {9,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-
-C11H15(256)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {8,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u1 p0 c0 {2,S} {10,S} {23,S}
-7 C u0 p0 c0 {3,S} {11,D} {21,S}
-8 C u0 p0 c0 {4,S} {10,D} {22,S}
-9 C u0 p0 c0 {5,D} {11,S} {25,S}
-10 C u0 p0 c0 {6,S} {8,D} {26,S}
-11 C u0 p0 c0 {7,D} {9,S} {24,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-
-C12H14(257)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S}
-3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-4 C u0 p0 c0 {5,S} {8,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {4,S} {10,D}
-6 C u0 p0 c0 {3,S} {9,S} {12,D}
-7 C u0 p0 c0 {1,S} {9,D} {20,S}
-8 C u0 p0 c0 {4,S} {11,D} {21,S}
-9 C u0 p0 c0 {6,S} {7,D} {22,S}
-10 C u0 p0 c0 {5,D} {11,S} {24,S}
-11 C u0 p0 c0 {8,D} {10,S} {23,S}
-12 C u0 p0 c0 {6,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-
-C11H14L(258)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {7,S} {15,S} {16,S}
-6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-7 C u0 p0 c0 {4,S} {5,S} {10,D}
-8 C u0 p0 c0 {1,S} {11,D} {23,S}
-9 C u1 p0 c0 {2,S} {10,S} {22,S}
-10 C u0 p0 c0 {7,D} {9,S} {24,S}
-11 C u0 p0 c0 {8,D} {25,S} {26,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 L u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C12H18L(259)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {9,S} {15,S} {16,S}
-5 C u0 p0 c0 {9,S} {10,S} {21,S} {22,S}
-6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S}
-7 C u0 p0 c0 {8,S} {26,S} {27,S} {28,S}
-8 C u1 p0 c0 {2,S} {3,S} {7,S}
-9 C u0 p0 c0 {4,S} {5,S} {11,D}
-10 C u0 p0 c0 {5,S} {12,D} {29,S}
-11 C u0 p0 c0 {9,D} {12,S} {31,S}
-12 C u0 p0 c0 {10,D} {11,S} {30,S}
-13 L u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {7,S}
-29 H u0 p0 c0 {10,S}
-30 H u0 p0 c0 {12,S}
-31 H u0 p0 c0 {11,S}
-
-C9H13(260)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {8,S} {9,D}
-6 C u1 p0 c0 {3,S} {4,S} {18,S}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {5,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C12H14(261)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {9,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {12,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {21,S}
-8 C u0 p0 c0 {3,S} {7,D} {20,S}
-9 C u0 p0 c0 {4,S} {11,D} {22,S}
-10 C u0 p0 c0 {6,D} {11,S} {24,S}
-11 C u0 p0 c0 {9,D} {10,S} {23,S}
-12 C u0 p0 c0 {5,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-
-C5H7L(262)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {3,D} {9,S}
-3 C u0 p0 c0 {2,D} {4,S} {10,S}
-4 C u0 p0 c0 {3,S} {5,D} {11,S}
-5 C u0 p0 c0 {4,D} {12,S} {13,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 L u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {5,S}
-
-C9H11R(263)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {8,D}
-5 C u0 p0 c0 {1,S} {7,D} {15,S}
-6 C u0 p0 c0 {3,S} {9,D} {16,S}
-7 C u0 p0 c0 {4,S} {5,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 R u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C9H11R(264)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {16,S}
-6 C u0 p0 c0 {3,S} {5,D} {15,S}
-7 C u0 p0 c0 {2,S} {9,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 R u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C11H15(265)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {7,S} {16,S} {17,S}
-6 C u0 p0 c0 {10,S} {20,S} {21,S} {22,S}
-7 C u1 p0 c0 {4,S} {5,S} {11,S}
-8 C u0 p0 c0 {1,S} {10,D} {25,S}
-9 C u0 p0 c0 {2,S} {11,D} {24,S}
-10 C u0 p0 c0 {6,S} {8,D} {23,S}
-11 C u0 p0 c0 {7,S} {9,D} {26,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {11,S}
-
-C12H17(266)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-3 C u0 p0 c0 {6,S} {8,S} {17,S} {18,S}
-4 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {9,S} {22,S} {23,S} {24,S}
-6 C u0 p0 c0 {1,S} {3,S} {11,D}
-7 C u1 p0 c0 {2,S} {4,S} {10,S}
-8 C u0 p0 c0 {3,S} {12,D} {25,S}
-9 C u0 p0 c0 {5,S} {10,D} {26,S}
-10 C u0 p0 c0 {7,S} {9,D} {29,S}
-11 C u0 p0 c0 {6,D} {12,S} {28,S}
-12 C u0 p0 c0 {8,D} {11,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 H u0 p0 c0 {5,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-29 H u0 p0 c0 {10,S}
-
-C12H16(267)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {14,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {7,S} {19,S} {20,S}
-6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {5,S} {6,S} {9,D}
-8 C u0 p0 c0 {4,S} {11,S} {12,D}
-9 C u0 p0 c0 {1,S} {7,D} {25,S}
-10 C u0 p0 c0 {2,S} {11,D} {24,S}
-11 C u0 p0 c0 {8,S} {10,D} {26,S}
-12 C u0 p0 c0 {8,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C9H11R(268)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {8,D}
-5 C u0 p0 c0 {1,S} {7,D} {15,S}
-6 C u0 p0 c0 {3,S} {9,D} {16,S}
-7 C u0 p0 c0 {4,S} {5,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 R u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C12H16(269)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {14,S}
-3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S}
-4 C u0 p0 c0 {3,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {11,S} {19,S} {20,S}
-6 C u0 p0 c0 {8,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {5,S} {12,D}
-8 C u0 p0 c0 {4,S} {6,S} {9,D}
-9 C u0 p0 c0 {1,S} {8,D} {26,S}
-10 C u0 p0 c0 {2,S} {11,D} {25,S}
-11 C u0 p0 c0 {5,S} {10,D} {24,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C9H11R(270)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {16,S}
-6 C u0 p0 c0 {3,S} {5,D} {15,S}
-7 C u0 p0 c0 {2,S} {9,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 R u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C11H14(271)
-1 C u0 p0 c0 {2,S} {4,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {4,S} {6,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {2,S} {9,D} {19,S}
-6 C u0 p0 c0 {3,S} {8,D} {18,S}
-7 C u0 p0 c0 {4,D} {8,S} {21,S}
-8 C u0 p0 c0 {6,D} {7,S} {20,S}
-9 C u0 p0 c0 {5,D} {10,S} {23,S}
-10 C u0 p0 c0 {9,S} {11,D} {22,S}
-11 C u0 p0 c0 {10,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C9H12(272)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {8,D}
-5 C u0 p0 c0 {1,S} {7,D} {15,S}
-6 C u0 p0 c0 {3,S} {9,D} {16,S}
-7 C u0 p0 c0 {4,S} {5,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C12H16(273)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {10,S} {18,S} {19,S}
-6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {4,S} {11,S} {12,D}
-8 C u0 p0 c0 {1,S} {10,D} {25,S}
-9 C u0 p0 c0 {2,S} {11,D} {23,S}
-10 C u0 p0 c0 {5,S} {8,D} {24,S}
-11 C u0 p0 c0 {7,S} {9,D} {26,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C11H14(274)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {6,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {9,S} {18,S} {19,S}
-6 C u0 p0 c0 {4,S} {10,S} {11,D}
-7 C u0 p0 c0 {1,S} {9,D} {22,S}
-8 C u0 p0 c0 {2,S} {10,D} {20,S}
-9 C u0 p0 c0 {5,S} {7,D} {21,S}
-10 C u0 p0 c0 {6,S} {8,D} {23,S}
-11 C u0 p0 c0 {6,D} {24,S} {25,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C9H12(275)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {16,S}
-6 C u0 p0 c0 {3,S} {5,D} {15,S}
-7 C u0 p0 c0 {2,S} {9,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C11H14(276)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {13,S}
-3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-4 C u0 p0 c0 {3,S} {9,S} {16,S} {17,S}
-5 C u0 p0 c0 {6,S} {10,S} {18,S} {19,S}
-6 C u0 p0 c0 {2,S} {5,S} {11,D}
-7 C u0 p0 c0 {1,S} {9,D} {23,S}
-8 C u0 p0 c0 {2,S} {10,D} {21,S}
-9 C u0 p0 c0 {4,S} {7,D} {22,S}
-10 C u0 p0 c0 {5,S} {8,D} {20,S}
-11 C u0 p0 c0 {6,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {10,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C12H14(277)
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {8,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {3,S} {11,D} {21,S}
-8 C u0 p0 c0 {4,S} {12,D} {22,S}
-9 C u0 p0 c0 {5,D} {11,S} {24,S}
-10 C u0 p0 c0 {6,D} {12,S} {26,S}
-11 C u0 p0 c0 {7,D} {9,S} {23,S}
-12 C u0 p0 c0 {8,D} {10,S} {25,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {10,S}
-
-C11H14(278)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S}
-3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-4 C u0 p0 c0 {3,S} {8,S} {9,D}
-5 C u0 p0 c0 {1,S} {8,D} {18,S}
-6 C u0 p0 c0 {2,S} {10,D} {16,S}
-7 C u0 p0 c0 {2,S} {11,D} {17,S}
-8 C u0 p0 c0 {4,S} {5,D} {19,S}
-9 C u0 p0 c0 {4,D} {24,S} {25,S}
-10 C u0 p0 c0 {6,D} {20,S} {21,S}
-11 C u0 p0 c0 {7,D} {22,S} {23,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {10,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-
-C11H14(279)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {7,S} {8,S} {13,S}
-3 C u0 p0 c0 {4,S} {6,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {9,D}
-5 C u0 p0 c0 {1,S} {6,D} {17,S}
-6 C u0 p0 c0 {3,S} {5,D} {16,S}
-7 C u0 p0 c0 {2,S} {10,D} {18,S}
-8 C u0 p0 c0 {2,S} {11,D} {19,S}
-9 C u0 p0 c0 {4,D} {20,S} {21,S}
-10 C u0 p0 c0 {7,D} {22,S} {23,S}
-11 C u0 p0 c0 {8,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C12H16(280)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {7,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-4 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S}
-5 C u0 p0 c0 {7,S} {11,S} {18,S} {19,S}
-6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {2,S} {5,S} {12,D}
-8 C u0 p0 c0 {1,S} {10,D} {26,S}
-9 C u0 p0 c0 {2,S} {11,D} {24,S}
-10 C u0 p0 c0 {4,S} {8,D} {25,S}
-11 C u0 p0 c0 {5,S} {9,D} {23,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C13H20R(281)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {14,S}
-2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S}
-5 C u0 p0 c0 {10,S} {11,S} {21,S} {22,S}
-6 C u0 p0 c0 {1,S} {23,S} {24,S} {25,S}
-7 C u0 p0 c0 {1,S} {26,S} {27,S} {28,S}
-8 C u0 p0 c0 {9,S} {29,S} {30,S} {31,S}
-9 C u1 p0 c0 {2,S} {3,S} {8,S}
-10 C u0 p0 c0 {4,S} {5,S} {12,D}
-11 C u0 p0 c0 {5,S} {13,D} {32,S}
-12 C u0 p0 c0 {10,D} {13,S} {34,S}
-13 C u0 p0 c0 {11,D} {12,S} {33,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 R u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {7,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {8,S}
-31 H u0 p0 c0 {8,S}
-32 H u0 p0 c0 {11,S}
-33 H u0 p0 c0 {13,S}
-34 H u0 p0 c0 {12,S}
-
-C10H12L(282)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {11,S}
-2 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {9,D}
-5 C u0 p0 c0 {1,S} {7,D} {16,S}
-6 C u1 p0 c0 {3,S} {8,S} {17,S}
-7 C u0 p0 c0 {4,S} {5,D} {18,S}
-8 C u0 p0 c0 {6,S} {10,D} {19,S}
-9 C u0 p0 c0 {4,D} {20,S} {21,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 L u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C12H15(283)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S}
-3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {10,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {2,S} {4,S} {12,D}
-7 C u0 p0 c0 {3,S} {5,S} {11,D}
-8 C u1 p0 c0 {1,S} {11,S} {24,S}
-9 C u0 p0 c0 {2,S} {10,D} {23,S}
-10 C u0 p0 c0 {4,S} {9,D} {22,S}
-11 C u0 p0 c0 {7,D} {8,S} {25,S}
-12 C u0 p0 c0 {6,D} {26,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {12,S}
-
-C11H12(284)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S}
-3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-4 C u0 p0 c0 {3,S} {8,S} {11,D}
-5 C u0 p0 c0 {1,S} {8,D} {16,S}
-6 C u0 p0 c0 {2,S} {9,D} {17,S}
-7 C u0 p0 c0 {2,S} {10,D} {18,S}
-8 C u0 p0 c0 {4,S} {5,D} {19,S}
-9 C u0 p0 c0 {6,D} {10,S} {20,S}
-10 C u0 p0 c0 {7,D} {9,S} {21,S}
-11 C u0 p0 c0 {4,D} {22,S} {23,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {11,S}
-
-C6H9R(285)
-1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {4,S} {10,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {6,D}
-4 C u0 p0 c0 {2,S} {5,D} {13,S}
-5 C u0 p0 c0 {3,S} {4,D} {14,S}
-6 C u0 p0 c0 {3,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-15 R u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C7H12R(286)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-3 C u0 p0 c0 {5,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u1 p0 c0 {1,S} {3,S} {7,S}
-6 C u0 p0 c0 {4,S} {7,D} {19,S}
-7 C u0 p0 c0 {5,S} {6,D} {20,S}
-8 R u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-
-C6H8R(287)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {5,D}
-3 C u0 p0 c0 {2,S} {4,D} {10,S}
-4 C u0 p0 c0 {3,D} {6,S} {11,S}
-5 C u0 p0 c0 {2,D} {12,S} {13,S}
-6 C u1 p0 c0 {4,S} {14,S} {15,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 R u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-15 H u0 p0 c0 {6,S}
-
-C6H8R(288)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {4,S} {11,S} {12,S} {13,S}
-4 C u1 p0 c0 {1,S} {3,S} {6,S}
-5 C u0 p0 c0 {2,S} {6,D} {14,S}
-6 C u0 p0 c0 {4,S} {5,D} {15,S}
-7 H u0 p0 c0 {1,S}
-8 R u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-
-C10H13LR(289)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {3,S} {7,S} {9,D}
-5 C u0 p0 c0 {1,S} {7,D} {18,S}
-6 C u1 p0 c0 {2,S} {8,S} {19,S}
-7 C u0 p0 c0 {4,S} {5,D} {20,S}
-8 C u0 p0 c0 {6,S} {10,D} {21,S}
-9 C u0 p0 c0 {4,D} {22,S} {23,S}
-10 C u0 p0 c0 {8,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 R u0 p0 c0 {9,S}
-24 L u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C6H8(290)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {5,S} {6,D}
-4 C u0 p0 c0 {2,S} {5,D} {11,S}
-5 C u0 p0 c0 {3,S} {4,D} {12,S}
-6 C u0 p0 c0 {3,D} {13,S} {14,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {6,S}
-14 H u0 p0 c0 {6,S}
-
-C8H12R(291)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {6,S} {10,S} {11,S}
-3 C u0 p0 c0 {4,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {1,S} {8,D} {15,S}
-6 C u1 p0 c0 {2,S} {16,S} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {5,D} {20,S} {21,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {6,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-
-C10H12L(292)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {9,S} {18,S}
-6 C u0 p0 c0 {3,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {20,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 C u0 p0 c0 {5,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 L u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C9H12L(293)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {8,S} {9,D}
-6 C u1 p0 c0 {3,S} {4,S} {18,S}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {5,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 L u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C12H18L(294)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {8,S}
-2 C u0 p0 c0 {1,S} {6,S} {11,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {9,S} {14,S} {15,S}
-6 C u0 p0 c0 {2,S} {10,S} {22,S} {23,S}
-7 C u0 p0 c0 {4,S} {10,S} {20,S} {21,S}
-8 C u0 p0 c0 {1,S} {27,S} {28,S} {29,S}
-9 C u0 p0 c0 {5,S} {24,S} {25,S} {26,S}
-10 C u0 p0 c0 {6,S} {7,S} {12,D}
-11 C u1 p0 c0 {2,S} {12,S} {30,S}
-12 C u0 p0 c0 {10,D} {11,S} {31,S}
-13 H u0 p0 c0 {2,S}
-14 L u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {11,S}
-31 H u0 p0 c0 {12,S}
-
-C11H15LR(295)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {14,S} {15,S}
-2 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {19,S} {20,S} {21,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u1 p0 c0 {1,S} {3,S} {9,S}
-6 C u0 p0 c0 {4,S} {8,S} {10,D}
-7 C u0 p0 c0 {2,S} {8,D} {22,S}
-8 C u0 p0 c0 {6,S} {7,D} {23,S}
-9 C u0 p0 c0 {5,S} {11,D} {24,S}
-10 C u0 p0 c0 {6,D} {25,S} {26,S}
-11 C u0 p0 c0 {9,D} {27,S} {28,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {3,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-26 R u0 p0 c0 {10,S}
-27 L u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15R(296)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S}
-4 C u0 p0 c0 {5,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {4,S} {8,D}
-6 C u0 p0 c0 {3,S} {9,S} {11,D}
-7 C u0 p0 c0 {1,S} {9,D} {21,S}
-8 C u0 p0 c0 {5,D} {10,S} {22,S}
-9 C u0 p0 c0 {6,S} {7,D} {24,S}
-10 C u0 p0 c0 {8,S} {12,D} {23,S}
-11 C u0 p0 c0 {6,D} {27,S} {28,S}
-12 C u0 p0 c0 {10,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 R u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C11H14L(297)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u1 p0 c0 {2,S} {4,S} {9,S}
-6 C u0 p0 c0 {3,S} {8,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {20,S}
-8 C u0 p0 c0 {6,S} {7,D} {21,S}
-9 C u0 p0 c0 {5,S} {11,D} {22,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 C u0 p0 c0 {9,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-25 L u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C11H13(298)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {13,S}
-3 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S}
-4 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {4,S} {11,D}
-6 C u1 p0 c0 {1,S} {10,S} {21,S}
-7 C u0 p0 c0 {2,S} {8,D} {19,S}
-8 C u0 p0 c0 {4,S} {7,D} {18,S}
-9 C u0 p0 c0 {3,S} {10,D} {20,S}
-10 C u0 p0 c0 {6,S} {9,D} {22,S}
-11 C u0 p0 c0 {5,D} {23,S} {24,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {11,S}
-
-C9H13LR(299)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {11,S}
-3 C u0 p0 c0 {5,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {8,S} {9,D}
-6 C u1 p0 c0 {1,S} {4,S} {20,S}
-7 C u0 p0 c0 {2,S} {8,D} {21,S}
-8 C u0 p0 c0 {5,S} {7,D} {22,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 L u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 R u0 p0 c0 {9,S}
-
-C12H15R(300)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {4,S} {10,D}
-6 C u0 p0 c0 {3,S} {9,S} {11,D}
-7 C u0 p0 c0 {1,S} {9,D} {21,S}
-8 C u0 p0 c0 {2,S} {12,D} {20,S}
-9 C u0 p0 c0 {6,S} {7,D} {22,S}
-10 C u0 p0 c0 {5,D} {23,S} {24,S}
-11 C u0 p0 c0 {6,D} {27,S} {28,S}
-12 C u0 p0 c0 {8,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 R u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15R(301)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S}
-3 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {10,S} {12,D}
-6 C u0 p0 c0 {4,S} {9,S} {11,D}
-7 C u0 p0 c0 {1,S} {10,D} {22,S}
-8 C u0 p0 c0 {3,S} {9,D} {21,S}
-9 C u0 p0 c0 {6,S} {8,D} {23,S}
-10 C u0 p0 c0 {5,S} {7,D} {24,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 C u0 p0 c0 {5,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 R u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H15R(302)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {2,S} {4,S} {9,D}
-7 C u0 p0 c0 {1,S} {8,D} {22,S}
-8 C u0 p0 c0 {3,S} {7,D} {21,S}
-9 C u0 p0 c0 {6,D} {10,S} {23,S}
-10 C u0 p0 c0 {9,S} {12,D} {24,S}
-11 C u0 p0 c0 {5,D} {27,S} {28,S}
-12 C u0 p0 c0 {10,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 R u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15R(303)
-1 C u0 p0 c0 {2,S} {6,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {7,S} {14,S}
-3 C u0 p0 c0 {5,S} {9,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {3,S} {11,D}
-6 C u0 p0 c0 {1,S} {4,S} {10,D}
-7 C u0 p0 c0 {2,S} {9,D} {22,S}
-8 C u0 p0 c0 {1,S} {12,D} {20,S}
-9 C u0 p0 c0 {3,S} {7,D} {21,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 C u0 p0 c0 {5,D} {27,S} {28,S}
-12 C u0 p0 c0 {8,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 R u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15R(304)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {9,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {4,S} {10,S} {12,D}
-7 C u0 p0 c0 {1,S} {9,D} {23,S}
-8 C u0 p0 c0 {2,S} {10,D} {21,S}
-9 C u0 p0 c0 {3,S} {7,D} {22,S}
-10 C u0 p0 c0 {6,S} {8,D} {24,S}
-11 C u0 p0 c0 {5,D} {27,S} {28,S}
-12 C u0 p0 c0 {6,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {12,S}
-26 R u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C12H16R2(305)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {2,S} {3,S} {8,D}
-6 C u0 p0 c0 {1,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {11,D} {22,S}
-8 C u0 p0 c0 {5,D} {9,S} {23,S}
-9 C u0 p0 c0 {8,S} {12,D} {24,S}
-10 C u0 p0 c0 {6,D} {27,S} {28,S}
-11 C u0 p0 c0 {7,D} {29,S} {30,S}
-12 C u0 p0 c0 {9,D} {25,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 R u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {10,S}
-28 R u0 p0 c0 {10,S}
-29 H u0 p0 c0 {11,S}
-30 H u0 p0 c0 {11,S}
-
-C12H15R(306)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {14,S}
-3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {8,S} {19,S} {20,S}
-5 C u0 p0 c0 {3,S} {7,S} {17,S} {18,S}
-6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {5,S} {6,S} {9,D}
-8 C u0 p0 c0 {4,S} {11,S} {12,D}
-9 C u0 p0 c0 {1,S} {7,D} {24,S}
-10 C u0 p0 c0 {2,S} {11,D} {25,S}
-11 C u0 p0 c0 {8,S} {10,D} {26,S}
-12 C u0 p0 c0 {8,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 R u0 p0 c0 {5,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C10H12L(307)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S}
-6 C u0 p0 c0 {4,S} {5,S} {9,D}
-7 C u1 p0 c0 {2,S} {9,S} {19,S}
-8 C u0 p0 c0 {1,S} {10,D} {20,S}
-9 C u0 p0 c0 {6,D} {7,S} {21,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 L u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C12H16(308)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {14,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {9,S} {19,S} {20,S}
-6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {1,S} {6,S} {9,D}
-8 C u0 p0 c0 {4,S} {11,S} {12,D}
-9 C u0 p0 c0 {5,S} {7,D} {25,S}
-10 C u0 p0 c0 {2,S} {11,D} {24,S}
-11 C u0 p0 c0 {8,S} {10,D} {26,S}
-12 C u0 p0 c0 {8,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(309)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {10,S} {14,S}
-3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S}
-4 C u0 p0 c0 {3,S} {9,S} {17,S} {18,S}
-5 C u0 p0 c0 {8,S} {11,S} {19,S} {20,S}
-6 C u0 p0 c0 {7,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {1,S} {6,S} {9,D}
-8 C u0 p0 c0 {2,S} {5,S} {12,D}
-9 C u0 p0 c0 {4,S} {7,D} {26,S}
-10 C u0 p0 c0 {2,S} {11,D} {25,S}
-11 C u0 p0 c0 {5,S} {10,D} {24,S}
-12 C u0 p0 c0 {8,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C13H20R(310)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {5,S} {8,S}
-2 C u0 p0 c0 {4,S} {9,S} {10,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {12,S} {15,S}
-4 C u0 p0 c0 {1,S} {2,S} {16,S} {17,S}
-5 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S}
-6 C u0 p0 c0 {3,S} {11,S} {22,S} {23,S}
-7 C u0 p0 c0 {5,S} {11,S} {20,S} {21,S}
-8 C u0 p0 c0 {1,S} {30,S} {31,S} {32,S}
-9 C u0 p0 c0 {2,S} {24,S} {25,S} {26,S}
-10 C u0 p0 c0 {2,S} {27,S} {28,S} {29,S}
-11 C u0 p0 c0 {6,S} {7,S} {13,D}
-12 C u1 p0 c0 {3,S} {13,S} {33,S}
-13 C u0 p0 c0 {11,D} {12,S} {34,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {9,S}
-27 R u0 p0 c0 {10,S}
-28 H u0 p0 c0 {10,S}
-29 H u0 p0 c0 {10,S}
-30 H u0 p0 c0 {8,S}
-31 H u0 p0 c0 {8,S}
-32 H u0 p0 c0 {8,S}
-33 H u0 p0 c0 {12,S}
-34 H u0 p0 c0 {13,S}
-
-C9H13(311)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {4,S} {19,S}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-
-C9H13(312)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u1 p0 c0 {4,S} {5,S} {9,S}
-8 C u0 p0 c0 {2,S} {9,D} {21,S}
-9 C u0 p0 c0 {7,S} {8,D} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C9H13(313)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-4 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {5,S} {21,S}
-9 C u0 p0 c0 {2,S} {7,D} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C9H12L(314)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-4 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {5,S} {21,S}
-9 C u0 p0 c0 {2,S} {7,D} {22,S}
-10 L u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C12H16R2(315)
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-4 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u0 p0 c0 {4,S} {9,S} {11,D}
-7 C u0 p0 c0 {2,S} {9,D} {23,S}
-8 C u0 p0 c0 {5,D} {10,S} {24,S}
-9 C u0 p0 c0 {6,S} {7,D} {26,S}
-10 C u0 p0 c0 {8,S} {12,D} {25,S}
-11 C u0 p0 c0 {6,D} {29,S} {30,S}
-12 C u0 p0 c0 {10,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 R u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {4,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-29 H u0 p0 c0 {11,S}
-30 R u0 p0 c0 {11,S}
-
-C10H14R(316)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-6 C u1 p0 c0 {2,S} {4,S} {5,S}
-7 C u0 p0 c0 {3,S} {9,S} {10,D}
-8 C u0 p0 c0 {1,S} {9,D} {22,S}
-9 C u0 p0 c0 {7,S} {8,D} {23,S}
-10 C u0 p0 c0 {7,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 R u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C12H15R(317)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {4,S} {11,S} {12,D}
-8 C u0 p0 c0 {1,S} {10,D} {24,S}
-9 C u0 p0 c0 {2,S} {11,D} {25,S}
-10 C u0 p0 c0 {5,S} {8,D} {23,S}
-11 C u0 p0 c0 {7,S} {9,D} {26,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C10H15R2(318)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S}
-3 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-4 C u0 p0 c0 {6,S} {21,S} {22,S} {23,S}
-5 C u0 p0 c0 {7,S} {15,S} {16,S} {17,S}
-6 C u1 p0 c0 {1,S} {3,S} {4,S}
-7 C u0 p0 c0 {5,S} {9,S} {10,D}
-8 C u0 p0 c0 {2,S} {9,D} {24,S}
-9 C u0 p0 c0 {7,S} {8,D} {25,S}
-10 C u0 p0 c0 {7,D} {26,S} {27,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 R u0 p0 c0 {4,S}
-22 H u0 p0 c0 {4,S}
-23 H u0 p0 c0 {4,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 R u0 p0 c0 {10,S}
-
-C12H16R2(319)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {10,D}
-6 C u0 p0 c0 {4,S} {9,S} {11,D}
-7 C u0 p0 c0 {1,S} {12,D} {22,S}
-8 C u0 p0 c0 {2,S} {9,D} {23,S}
-9 C u0 p0 c0 {6,S} {8,D} {24,S}
-10 C u0 p0 c0 {5,D} {25,S} {26,S}
-11 C u0 p0 c0 {6,D} {29,S} {30,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-26 R u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-29 H u0 p0 c0 {11,S}
-30 R u0 p0 c0 {11,S}
-
-C12H15R(320)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {10,S} {14,S}
-3 C u0 p0 c0 {1,S} {4,S} {15,S} {16,S}
-4 C u0 p0 c0 {3,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {11,S} {19,S} {20,S}
-6 C u0 p0 c0 {8,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {2,S} {5,S} {12,D}
-8 C u0 p0 c0 {4,S} {6,S} {9,D}
-9 C u0 p0 c0 {1,S} {8,D} {24,S}
-10 C u0 p0 c0 {2,S} {11,D} {26,S}
-11 C u0 p0 c0 {5,S} {10,D} {25,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 R u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H15R(321)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {7,S} {9,S} {13,S}
-3 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-4 C u0 p0 c0 {3,S} {10,S} {16,S} {17,S}
-5 C u0 p0 c0 {7,S} {11,S} {18,S} {19,S}
-6 C u0 p0 c0 {1,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {2,S} {5,S} {12,D}
-8 C u0 p0 c0 {1,S} {10,D} {24,S}
-9 C u0 p0 c0 {2,S} {11,D} {26,S}
-10 C u0 p0 c0 {4,S} {8,D} {23,S}
-11 C u0 p0 c0 {5,S} {9,D} {25,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H15R(322)
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {5,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {2,S} {3,S} {9,D}
-6 C u0 p0 c0 {1,S} {4,S} {8,D}
-7 C u0 p0 c0 {3,S} {10,D} {22,S}
-8 C u0 p0 c0 {6,D} {11,S} {23,S}
-9 C u0 p0 c0 {5,D} {10,S} {26,S}
-10 C u0 p0 c0 {7,D} {9,S} {25,S}
-11 C u0 p0 c0 {8,S} {12,D} {24,S}
-12 C u0 p0 c0 {11,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 R u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H15(323)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S}
-3 C u0 p0 c0 {1,S} {10,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {11,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {2,S} {4,S} {12,D}
-7 C u0 p0 c0 {5,S} {8,S} {10,D}
-8 C u1 p0 c0 {1,S} {7,S} {25,S}
-9 C u0 p0 c0 {2,S} {11,D} {23,S}
-10 C u0 p0 c0 {3,S} {7,D} {24,S}
-11 C u0 p0 c0 {4,S} {9,D} {22,S}
-12 C u0 p0 c0 {6,D} {26,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {12,S}
-
-C10H12R(324)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u1 p0 c0 {2,S} {9,S} {18,S}
-6 C u0 p0 c0 {3,S} {8,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {20,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 C u0 p0 c0 {5,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {22,S} {23,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 R u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C6H11L(325)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {11,S} {12,S} {13,S}
-4 C u0 p0 c0 {6,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {6,D} {18,S}
-6 C u0 p0 c0 {4,S} {5,D} {17,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 L u0 p0 c0 {6,S}
-18 H u0 p0 c0 {5,S}
-
-C11H14L(326)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {4,S} {7,S} {11,D}
-7 C u1 p0 c0 {2,S} {6,S} {22,S}
-8 C u0 p0 c0 {3,S} {10,D} {21,S}
-9 C u0 p0 c0 {5,D} {10,S} {24,S}
-10 C u0 p0 c0 {8,D} {9,S} {23,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 L u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C11H14L(327)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {12,S}
-3 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {2,S} {7,S} {18,S} {19,S}
-5 C u0 p0 c0 {3,S} {7,S} {16,S} {17,S}
-6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {4,S} {5,S} {10,D}
-8 C u0 p0 c0 {1,S} {6,S} {11,D}
-9 C u1 p0 c0 {2,S} {10,S} {23,S}
-10 C u0 p0 c0 {7,D} {9,S} {24,S}
-11 C u0 p0 c0 {8,D} {25,S} {26,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 L u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C8H10L(328)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {9,S}
-2 C u0 p0 c0 {1,S} {4,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {7,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {6,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {14,S}
-6 C u0 p0 c0 {4,S} {5,D} {15,S}
-7 C u1 p0 c0 {3,S} {16,S} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 L u0 p0 c0 {7,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-
-C11H12(329)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {13,S}
-3 C u0 p0 c0 {4,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {11,D}
-5 C u0 p0 c0 {1,S} {8,D} {17,S}
-6 C u0 p0 c0 {2,S} {9,D} {18,S}
-7 C u0 p0 c0 {2,S} {10,D} {19,S}
-8 C u0 p0 c0 {3,S} {5,D} {16,S}
-9 C u0 p0 c0 {6,D} {10,S} {20,S}
-10 C u0 p0 c0 {7,D} {9,S} {21,S}
-11 C u0 p0 c0 {4,D} {22,S} {23,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {8,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {11,S}
-
-C7H13R(330)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {8,S}
-2 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-6 C u0 p0 c0 {4,S} {5,S} {7,D}
-7 C u0 p0 c0 {1,S} {6,D} {21,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 R u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {7,S}
-
-C11H14(331)
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {10,D} {18,S}
-6 C u0 p0 c0 {1,S} {11,D} {19,S}
-7 C u0 p0 c0 {3,S} {9,D} {17,S}
-8 C u0 p0 c0 {4,D} {9,S} {21,S}
-9 C u0 p0 c0 {7,D} {8,S} {20,S}
-10 C u0 p0 c0 {5,D} {22,S} {23,S}
-11 C u0 p0 c0 {6,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-
-C9H14L(332)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {9,S} {13,S} {14,S}
-5 C u0 p0 c0 {7,S} {17,S} {18,S} {19,S}
-6 C u0 p0 c0 {8,S} {20,S} {21,S} {22,S}
-7 C u0 p0 c0 {1,S} {5,S} {9,D}
-8 C u1 p0 c0 {3,S} {6,S} {23,S}
-9 C u0 p0 c0 {4,S} {7,D} {24,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 L u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-
-C10H12R(333)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {7,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {6,S} {17,S} {18,S}
-5 C u0 p0 c0 {3,S} {6,S} {15,S} {16,S}
-6 C u0 p0 c0 {4,S} {5,S} {9,D}
-7 C u1 p0 c0 {2,S} {9,S} {19,S}
-8 C u0 p0 c0 {1,S} {10,D} {20,S}
-9 C u0 p0 c0 {6,D} {7,S} {21,S}
-10 C u0 p0 c0 {8,D} {22,S} {23,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 R u0 p0 c0 {10,S}
-23 H u0 p0 c0 {10,S}
-
-C12H15R(334)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {3,S} {9,D}
-6 C u0 p0 c0 {1,S} {4,S} {11,D}
-7 C u0 p0 c0 {1,S} {12,D} {21,S}
-8 C u0 p0 c0 {3,S} {10,D} {22,S}
-9 C u0 p0 c0 {5,D} {10,S} {24,S}
-10 C u0 p0 c0 {8,D} {9,S} {23,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 R u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(335)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {16,S} {17,S}
-3 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-4 C u0 p0 c0 {5,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u0 p0 c0 {3,S} {8,S} {11,D}
-7 C u0 p0 c0 {1,S} {8,D} {21,S}
-8 C u0 p0 c0 {6,S} {7,D} {22,S}
-9 C u0 p0 c0 {5,D} {10,S} {23,S}
-10 C u0 p0 c0 {9,S} {12,D} {24,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 C u0 p0 c0 {10,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H15R(336)
-1 C u0 p0 c0 {2,S} {5,S} {15,S} {16,S}
-2 C u0 p0 c0 {1,S} {7,S} {13,S} {14,S}
-3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {10,D}
-6 C u0 p0 c0 {4,S} {9,S} {12,D}
-7 C u0 p0 c0 {2,S} {9,D} {22,S}
-8 C u0 p0 c0 {3,S} {11,D} {23,S}
-9 C u0 p0 c0 {6,S} {7,D} {24,S}
-10 C u0 p0 c0 {5,D} {11,S} {26,S}
-11 C u0 p0 c0 {8,D} {10,S} {25,S}
-12 C u0 p0 c0 {6,D} {27,S} {28,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {1,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 R u0 p0 c0 {12,S}
-
-C12H15(337)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {13,S}
-2 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {7,S} {9,S} {18,S} {19,S}
-5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S}
-6 C u0 p0 c0 {1,S} {5,S} {10,D}
-7 C u0 p0 c0 {2,S} {4,S} {11,D}
-8 C u1 p0 c0 {3,S} {10,S} {24,S}
-9 C u0 p0 c0 {4,S} {12,D} {23,S}
-10 C u0 p0 c0 {6,D} {8,S} {27,S}
-11 C u0 p0 c0 {7,D} {12,S} {26,S}
-12 C u0 p0 c0 {9,D} {11,S} {25,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {10,S}
-
-C9H13R(338)
-1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u0 p0 c0 {2,S} {8,D} {17,S}
-6 C u0 p0 c0 {4,D} {7,S} {18,S}
-7 C u0 p0 c0 {6,S} {9,D} {19,S}
-8 C u0 p0 c0 {5,D} {22,S} {23,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 R u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {8,S}
-
-[CH2]C(C)C(399)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u1 p0 c0 {1,S} {12,S} {13,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-
-CC(C)C(29484)
-1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
-2 C u0 p0 c0 {1,S} {6,S} {7,S} {8,S}
-3 C u0 p0 c0 {1,S} {9,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {12,S} {13,S} {14,S}
-5 H u0 p0 c0 {1,S}
-6 H u0 p0 c0 {2,S}
-7 H u0 p0 c0 {2,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-
-C11H17(10750)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {8,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {3,S} {9,S} {11,D}
-6 C u1 p0 c0 {2,S} {10,S} {24,S}
-7 C u0 p0 c0 {1,S} {9,D} {22,S}
-8 C u0 p0 c0 {4,S} {10,D} {23,S}
-9 C u0 p0 c0 {5,S} {7,D} {25,S}
-10 C u0 p0 c0 {6,S} {8,D} {26,S}
-11 C u0 p0 c0 {5,D} {27,S} {28,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {11,S}
-28 H u0 p0 c0 {11,S}
-
-C9H11R(18276)
-1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {3,S} {8,D} {16,S}
-6 C u0 p0 c0 {2,S} {9,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {19,S}
-8 C u0 p0 c0 {5,D} {7,S} {18,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {7,S}
-20 R u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C9H13R(24328)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {6,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {13,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {1,S} {8,D} {16,S}
-6 C u0 p0 c0 {2,S} {9,D} {17,S}
-7 C u0 p0 c0 {4,D} {18,S} {19,S}
-8 C u0 p0 c0 {5,D} {20,S} {21,S}
-9 C u0 p0 c0 {6,D} {22,S} {23,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 R u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {9,S}
-
-C12H16(18381)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {2,S} {4,S} {9,D}
-7 C u0 p0 c0 {1,S} {8,D} {22,S}
-8 C u0 p0 c0 {3,S} {7,D} {21,S}
-9 C u0 p0 c0 {6,D} {10,S} {23,S}
-10 C u0 p0 c0 {9,S} {12,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {10,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C9H12(18323)
-1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {3,S} {8,D} {16,S}
-6 C u0 p0 c0 {2,S} {9,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {19,S}
-8 C u0 p0 c0 {5,D} {7,S} {18,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C12H16(18379)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {8,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {4,S} {10,D}
-6 C u0 p0 c0 {3,S} {9,S} {11,D}
-7 C u0 p0 c0 {1,S} {9,D} {20,S}
-8 C u0 p0 c0 {2,S} {12,D} {21,S}
-9 C u0 p0 c0 {6,S} {7,D} {22,S}
-10 C u0 p0 c0 {5,D} {25,S} {26,S}
-11 C u0 p0 c0 {6,D} {23,S} {24,S}
-12 C u0 p0 c0 {8,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(18378)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {9,S} {14,S}
-3 C u0 p0 c0 {5,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {10,D}
-6 C u0 p0 c0 {2,S} {4,S} {11,D}
-7 C u0 p0 c0 {1,S} {8,D} {21,S}
-8 C u0 p0 c0 {3,S} {7,D} {20,S}
-9 C u0 p0 c0 {2,S} {12,D} {22,S}
-10 C u0 p0 c0 {5,D} {23,S} {24,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 C u0 p0 c0 {9,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(18376)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {9,S} {11,D}
-6 C u0 p0 c0 {4,S} {10,S} {12,D}
-7 C u0 p0 c0 {1,S} {9,D} {21,S}
-8 C u0 p0 c0 {3,S} {10,D} {22,S}
-9 C u0 p0 c0 {5,S} {7,D} {23,S}
-10 C u0 p0 c0 {6,S} {8,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {6,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(18375)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {9,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {4,S} {10,S} {12,D}
-7 C u0 p0 c0 {1,S} {8,D} {22,S}
-8 C u0 p0 c0 {3,S} {7,D} {21,S}
-9 C u0 p0 c0 {2,S} {10,D} {23,S}
-10 C u0 p0 c0 {6,S} {9,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {6,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C8H10L(18195)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {8,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {5,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u0 p0 c0 {3,S} {7,D} {15,S}
-6 C u0 p0 c0 {4,D} {7,S} {17,S}
-7 C u0 p0 c0 {5,D} {6,S} {16,S}
-8 C u1 p0 c0 {2,S} {18,S} {19,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {7,S}
-17 H u0 p0 c0 {6,S}
-18 L u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-
-C8H10L(30674)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {7,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S}
-3 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-4 C u0 p0 c0 {1,S} {6,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {6,S} {14,S} {15,S}
-6 C u0 p0 c0 {4,S} {5,S} {8,D}
-7 C u1 p0 c0 {1,S} {8,S} {18,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 L u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-
-C12H16(18380)
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {7,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u0 p0 c0 {2,S} {4,S} {9,D}
-7 C u0 p0 c0 {3,S} {10,D} {22,S}
-8 C u0 p0 c0 {5,D} {10,S} {24,S}
-9 C u0 p0 c0 {6,D} {11,S} {25,S}
-10 C u0 p0 c0 {7,D} {8,S} {23,S}
-11 C u0 p0 c0 {9,S} {12,D} {26,S}
-12 C u0 p0 c0 {11,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(18377)
-1 C u0 p0 c0 {2,S} {6,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {3,S} {9,D}
-6 C u0 p0 c0 {1,S} {4,S} {11,D}
-7 C u0 p0 c0 {1,S} {12,D} {22,S}
-8 C u0 p0 c0 {3,S} {10,D} {21,S}
-9 C u0 p0 c0 {5,D} {10,S} {24,S}
-10 C u0 p0 c0 {8,D} {9,S} {23,S}
-11 C u0 p0 c0 {6,D} {25,S} {26,S}
-12 C u0 p0 c0 {7,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C12H16(18374)
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {4,S} {10,S} {12,D}
-7 C u0 p0 c0 {2,S} {10,D} {23,S}
-8 C u0 p0 c0 {3,S} {11,D} {22,S}
-9 C u0 p0 c0 {5,D} {11,S} {25,S}
-10 C u0 p0 c0 {6,S} {7,D} {26,S}
-11 C u0 p0 c0 {8,D} {9,S} {24,S}
-12 C u0 p0 c0 {6,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C6H8(18175)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {3,S} {5,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {2,S} {6,D}
-4 C u0 p0 c0 {1,S} {5,D} {11,S}
-5 C u0 p0 c0 {2,S} {4,D} {12,S}
-6 C u0 p0 c0 {3,D} {13,S} {14,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {4,S}
-12 H u0 p0 c0 {5,S}
-13 H u0 p0 c0 {6,S}
-14 H u0 p0 c0 {6,S}
-
-C9H11R(18275)
-1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {5,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {3,S} {7,D}
-5 C u0 p0 c0 {3,S} {8,D} {16,S}
-6 C u0 p0 c0 {2,S} {9,D} {17,S}
-7 C u0 p0 c0 {4,D} {8,S} {19,S}
-8 C u0 p0 c0 {5,D} {7,S} {18,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 R u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C9H12R2(24302)
-1 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {14,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u0 p0 c0 {2,S} {8,D} {17,S}
-6 C u0 p0 c0 {4,D} {7,S} {18,S}
-7 C u0 p0 c0 {6,S} {9,D} {19,S}
-8 C u0 p0 c0 {5,D} {22,S} {23,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 R u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-22 R u0 p0 c0 {8,S}
-23 H u0 p0 c0 {8,S}
-
-C12H20L(4090)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {9,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {8,S} {27,S} {28,S} {29,S}
-7 C u0 p0 c0 {9,S} {24,S} {25,S} {26,S}
-8 C u1 p0 c0 {2,S} {3,S} {6,S}
-9 C u0 p0 c0 {4,S} {7,S} {10,D}
-10 C u0 p0 c0 {9,D} {11,S} {30,S}
-11 C u0 p0 c0 {10,S} {12,D} {31,S}
-12 C u0 p0 c0 {11,D} {32,S} {33,S}
-13 L u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {6,S}
-28 H u0 p0 c0 {6,S}
-29 H u0 p0 c0 {6,S}
-30 H u0 p0 c0 {10,S}
-31 H u0 p0 c0 {11,S}
-32 H u0 p0 c0 {12,S}
-33 H u0 p0 c0 {12,S}
-
-C10H13R(18283)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u0 p0 c0 {3,S} {8,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {6,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 C u0 p0 c0 {6,D} {21,S} {22,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {10,S}
-23 R u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C8H10L(30673)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {1,S} {3,S} {12,S} {13,S}
-3 C u0 p0 c0 {2,S} {4,S} {10,S} {11,S}
-4 C u0 p0 c0 {3,S} {6,S} {14,S} {15,S}
-5 C u0 p0 c0 {6,S} {7,S} {16,S} {17,S}
-6 C u0 p0 c0 {4,S} {5,S} {8,D}
-7 C u1 p0 c0 {1,S} {5,S} {18,S}
-8 C u0 p0 c0 {1,S} {6,D} {19,S}
-9 H u0 p0 c0 {1,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 L u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-
-C11H14L(20661)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {8,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u1 p0 c0 {2,S} {10,S} {23,S}
-7 C u0 p0 c0 {3,S} {11,D} {21,S}
-8 C u0 p0 c0 {4,S} {10,D} {22,S}
-9 C u0 p0 c0 {5,D} {11,S} {25,S}
-10 C u0 p0 c0 {6,S} {8,D} {26,S}
-11 C u0 p0 c0 {7,D} {9,S} {24,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 L u0 p0 c0 {8,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-
-C12H20L(4086)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {8,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {8,S} {27,S} {28,S} {29,S}
-7 C u0 p0 c0 {9,S} {24,S} {25,S} {26,S}
-8 C u1 p0 c0 {2,S} {3,S} {6,S}
-9 C u0 p0 c0 {7,S} {11,S} {12,D}
-10 C u0 p0 c0 {4,S} {11,D} {30,S}
-11 C u0 p0 c0 {9,S} {10,D} {31,S}
-12 C u0 p0 c0 {9,D} {32,S} {33,S}
-13 L u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 H u0 p0 c0 {7,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {6,S}
-28 H u0 p0 c0 {6,S}
-29 H u0 p0 c0 {6,S}
-30 H u0 p0 c0 {10,S}
-31 H u0 p0 c0 {11,S}
-32 H u0 p0 c0 {12,S}
-33 H u0 p0 c0 {12,S}
-
-C10H13R(18282)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {20,S}
-8 C u0 p0 c0 {3,S} {7,D} {19,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 R u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C12H16(18680)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {2,S} {8,S} {18,S} {19,S}
-5 C u0 p0 c0 {7,S} {10,S} {20,S} {21,S}
-6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {3,S} {5,S} {11,D}
-8 C u0 p0 c0 {4,S} {6,S} {9,D}
-9 C u0 p0 c0 {1,S} {8,D} {26,S}
-10 C u0 p0 c0 {5,S} {12,D} {25,S}
-11 C u0 p0 c0 {7,D} {12,S} {28,S}
-12 C u0 p0 c0 {10,D} {11,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15R(24502)
-1 C u0 p0 c0 {2,S} {3,S} {9,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {7,S} {18,S} {19,S}
-4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S}
-5 C u0 p0 c0 {7,S} {10,S} {20,S} {21,S}
-6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {3,S} {5,S} {11,D}
-8 C u0 p0 c0 {4,S} {6,S} {9,D}
-9 C u0 p0 c0 {1,S} {8,D} {25,S}
-10 C u0 p0 c0 {5,S} {12,D} {26,S}
-11 C u0 p0 c0 {7,D} {12,S} {28,S}
-12 C u0 p0 c0 {10,D} {11,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 R u0 p0 c0 {4,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-
-C13H22R(4084)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {14,S}
-2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {10,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-7 C u0 p0 c0 {9,S} {30,S} {31,S} {32,S}
-8 C u0 p0 c0 {10,S} {27,S} {28,S} {29,S}
-9 C u1 p0 c0 {2,S} {3,S} {7,S}
-10 C u0 p0 c0 {4,S} {8,S} {11,D}
-11 C u0 p0 c0 {10,D} {12,S} {33,S}
-12 C u0 p0 c0 {11,S} {13,D} {34,S}
-13 C u0 p0 c0 {12,D} {35,S} {36,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 R u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 H u0 p0 c0 {6,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {7,S}
-31 H u0 p0 c0 {7,S}
-32 H u0 p0 c0 {7,S}
-33 H u0 p0 c0 {11,S}
-34 H u0 p0 c0 {12,S}
-35 H u0 p0 c0 {13,S}
-36 H u0 p0 c0 {13,S}
-
-C13H22R(4080)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {14,S}
-2 C u0 p0 c0 {1,S} {9,S} {17,S} {18,S}
-3 C u0 p0 c0 {4,S} {9,S} {19,S} {20,S}
-4 C u0 p0 c0 {3,S} {11,S} {15,S} {16,S}
-5 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-6 C u0 p0 c0 {1,S} {24,S} {25,S} {26,S}
-7 C u0 p0 c0 {9,S} {30,S} {31,S} {32,S}
-8 C u0 p0 c0 {10,S} {27,S} {28,S} {29,S}
-9 C u1 p0 c0 {2,S} {3,S} {7,S}
-10 C u0 p0 c0 {8,S} {12,S} {13,D}
-11 C u0 p0 c0 {4,S} {12,D} {33,S}
-12 C u0 p0 c0 {10,S} {11,D} {34,S}
-13 C u0 p0 c0 {10,D} {35,S} {36,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {2,S}
-18 H u0 p0 c0 {2,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {5,S}
-24 R u0 p0 c0 {6,S}
-25 H u0 p0 c0 {6,S}
-26 H u0 p0 c0 {6,S}
-27 H u0 p0 c0 {8,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {7,S}
-31 H u0 p0 c0 {7,S}
-32 H u0 p0 c0 {7,S}
-33 H u0 p0 c0 {11,S}
-34 H u0 p0 c0 {12,S}
-35 H u0 p0 c0 {13,S}
-36 H u0 p0 c0 {13,S}
-
-C10H13R(18280)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u0 p0 c0 {3,S} {8,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {6,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 C u0 p0 c0 {6,D} {21,S} {22,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 R u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C10H13R(18279)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {20,S}
-8 C u0 p0 c0 {3,S} {7,D} {19,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 R u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C10H15(18437)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S}
-6 C u1 p0 c0 {1,S} {4,S} {5,S}
-7 C u0 p0 c0 {2,S} {3,S} {9,D}
-8 C u0 p0 c0 {3,S} {10,D} {23,S}
-9 C u0 p0 c0 {7,D} {10,S} {25,S}
-10 C u0 p0 c0 {8,D} {9,S} {24,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-
-C12H15R(24501)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {7,S} {17,S} {18,S}
-4 C u0 p0 c0 {2,S} {9,S} {15,S} {16,S}
-5 C u0 p0 c0 {7,S} {10,S} {19,S} {20,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {3,S} {5,S} {11,D}
-8 C u0 p0 c0 {1,S} {9,D} {25,S}
-9 C u0 p0 c0 {4,S} {8,D} {24,S}
-10 C u0 p0 c0 {5,S} {12,D} {26,S}
-11 C u0 p0 c0 {7,D} {12,S} {28,S}
-12 C u0 p0 c0 {10,D} {11,S} {27,S}
-13 H u0 p0 c0 {2,S}
-14 R u0 p0 c0 {2,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-
-C11H13(18468)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u1 p0 c0 {1,S} {10,S} {21,S}
-7 C u0 p0 c0 {3,S} {10,D} {20,S}
-8 C u0 p0 c0 {4,S} {11,D} {19,S}
-9 C u0 p0 c0 {5,D} {11,S} {23,S}
-10 C u0 p0 c0 {6,S} {7,D} {24,S}
-11 C u0 p0 c0 {8,D} {9,S} {22,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-
-C12H16(18679)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {8,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {9,S} {17,S} {18,S}
-5 C u0 p0 c0 {7,S} {10,S} {19,S} {20,S}
-6 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-7 C u0 p0 c0 {3,S} {5,S} {11,D}
-8 C u0 p0 c0 {1,S} {9,D} {26,S}
-9 C u0 p0 c0 {4,S} {8,D} {25,S}
-10 C u0 p0 c0 {5,S} {12,D} {24,S}
-11 C u0 p0 c0 {7,D} {12,S} {28,S}
-12 C u0 p0 c0 {10,D} {11,S} {27,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {8,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-
-C12H15(18389)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {9,S} {18,S} {19,S}
-5 C u0 p0 c0 {7,S} {20,S} {21,S} {22,S}
-6 C u0 p0 c0 {2,S} {4,S} {11,D}
-7 C u0 p0 c0 {3,S} {5,S} {10,D}
-8 C u1 p0 c0 {1,S} {10,S} {24,S}
-9 C u0 p0 c0 {4,S} {12,D} {23,S}
-10 C u0 p0 c0 {7,D} {8,S} {27,S}
-11 C u0 p0 c0 {6,D} {12,S} {26,S}
-12 C u0 p0 c0 {9,D} {11,S} {25,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {12,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {10,S}
-
-C11H16(11281)
-1 C u0 p0 c0 {2,S} {4,S} {14,S} {15,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {4,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {1,S} {3,S} {6,D}
-5 C u0 p0 c0 {2,S} {7,D} {19,S}
-6 C u0 p0 c0 {4,D} {9,S} {22,S}
-7 C u0 p0 c0 {5,D} {8,S} {21,S}
-8 C u0 p0 c0 {7,S} {10,D} {20,S}
-9 C u0 p0 c0 {6,S} {11,D} {23,S}
-10 C u0 p0 c0 {8,D} {24,S} {25,S}
-11 C u0 p0 c0 {9,D} {26,S} {27,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {1,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {11,S}
-
-C12H16(18726)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {2,S} {9,S} {11,D}
-6 C u0 p0 c0 {4,S} {8,D} {10,S}
-7 C u0 p0 c0 {1,S} {9,D} {21,S}
-8 C u0 p0 c0 {3,S} {6,D} {22,S}
-9 C u0 p0 c0 {5,S} {7,D} {23,S}
-10 C u0 p0 c0 {6,S} {12,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {10,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C10H14R(18285)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {7,S} {8,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {6,S} {20,S} {21,S} {22,S}
-6 C u1 p0 c0 {1,S} {4,S} {5,S}
-7 C u0 p0 c0 {2,S} {3,S} {9,D}
-8 C u0 p0 c0 {3,S} {10,D} {23,S}
-9 C u0 p0 c0 {7,D} {10,S} {25,S}
-10 C u0 p0 c0 {8,D} {9,S} {24,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 R u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-
-C9H11L(18431)
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {2,S} {7,S} {8,D}
-5 C u0 p0 c0 {1,S} {7,D} {15,S}
-6 C u0 p0 c0 {3,S} {9,D} {16,S}
-7 C u0 p0 c0 {4,S} {5,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {6,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {5,S}
-16 L u0 p0 c0 {6,S}
-17 H u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C12H15(22038)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {6,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-3 C u0 p0 c0 {4,S} {6,S} {17,S} {18,S}
-4 C u0 p0 c0 {3,S} {8,S} {19,S} {20,S}
-5 C u0 p0 c0 {7,S} {9,S} {21,S} {22,S}
-6 C u0 p0 c0 {1,S} {3,S} {10,D}
-7 C u0 p0 c0 {2,S} {5,S} {11,D}
-8 C u1 p0 c0 {4,S} {10,S} {24,S}
-9 C u0 p0 c0 {5,S} {12,D} {23,S}
-10 C u0 p0 c0 {6,D} {8,S} {25,S}
-11 C u0 p0 c0 {7,D} {12,S} {27,S}
-12 C u0 p0 c0 {9,D} {11,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {8,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-
-C11H15(18464)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {8,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {9,S} {11,D}
-6 C u0 p0 c0 {1,S} {9,D} {20,S}
-7 C u1 p0 c0 {3,S} {10,S} {22,S}
-8 C u0 p0 c0 {4,S} {10,D} {21,S}
-9 C u0 p0 c0 {5,S} {6,D} {23,S}
-10 C u0 p0 c0 {7,S} {8,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C9H11L(18430)
-1 C u0 p0 c0 {2,S} {4,S} {5,S} {10,S}
-2 C u0 p0 c0 {1,S} {7,S} {11,S} {12,S}
-3 C u0 p0 c0 {4,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {3,S} {8,D}
-5 C u0 p0 c0 {1,S} {6,D} {16,S}
-6 C u0 p0 c0 {3,S} {5,D} {15,S}
-7 C u0 p0 c0 {2,S} {9,D} {17,S}
-8 C u0 p0 c0 {4,D} {18,S} {19,S}
-9 C u0 p0 c0 {7,D} {20,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {5,S}
-17 L u0 p0 c0 {7,S}
-18 H u0 p0 c0 {8,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {9,S}
-21 H u0 p0 c0 {9,S}
-
-C10H14R(33566)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u0 p0 c0 {4,S} {5,S} {10,D}
-9 C u1 p0 c0 {2,S} {10,S} {24,S}
-10 C u0 p0 c0 {8,D} {9,S} {25,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-
-C12H15(18406)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {8,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {9,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {10,S} {18,S} {19,S}
-5 C u0 p0 c0 {7,S} {20,S} {21,S} {22,S}
-6 C u0 p0 c0 {2,S} {4,S} {11,D}
-7 C u0 p0 c0 {5,S} {8,S} {9,D}
-8 C u1 p0 c0 {1,S} {7,S} {25,S}
-9 C u0 p0 c0 {3,S} {7,D} {24,S}
-10 C u0 p0 c0 {4,S} {12,D} {23,S}
-11 C u0 p0 c0 {6,D} {12,S} {27,S}
-12 C u0 p0 c0 {10,D} {11,S} {26,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {5,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {8,S}
-26 H u0 p0 c0 {12,S}
-27 H u0 p0 c0 {11,S}
-
-C9H13(18194)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {14,S} {15,S} {16,S}
-5 C u0 p0 c0 {3,S} {7,S} {9,D}
-6 C u0 p0 c0 {1,S} {7,D} {17,S}
-7 C u0 p0 c0 {5,S} {6,D} {18,S}
-8 C u1 p0 c0 {2,S} {19,S} {20,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {7,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C10H15(32871)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {8,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u1 p0 c0 {4,S} {5,S} {10,S}
-9 C u0 p0 c0 {2,S} {10,D} {24,S}
-10 C u0 p0 c0 {8,S} {9,D} {25,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {10,S}
-
-C10H14(18435)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-4 C u0 p0 c0 {5,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {4,S} {9,D}
-6 C u0 p0 c0 {3,S} {8,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {6,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {23,S} {24,S}
-10 C u0 p0 c0 {6,D} {21,S} {22,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {10,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {9,S}
-
-C12H16(18725)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {8,S} {14,S} {15,S}
-3 C u0 p0 c0 {5,S} {9,S} {16,S} {17,S}
-4 C u0 p0 c0 {6,S} {18,S} {19,S} {20,S}
-5 C u0 p0 c0 {1,S} {3,S} {11,D}
-6 C u0 p0 c0 {4,S} {8,D} {10,S}
-7 C u0 p0 c0 {1,S} {9,D} {22,S}
-8 C u0 p0 c0 {2,S} {6,D} {23,S}
-9 C u0 p0 c0 {3,S} {7,D} {21,S}
-10 C u0 p0 c0 {6,S} {12,D} {24,S}
-11 C u0 p0 c0 {5,D} {25,S} {26,S}
-12 C u0 p0 c0 {10,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C11H16(11277)
-1 C u0 p0 c0 {2,S} {5,S} {12,S} {13,S}
-2 C u0 p0 c0 {1,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {4,S} {16,S} {17,S} {18,S}
-4 C u0 p0 c0 {3,S} {7,S} {10,D}
-5 C u0 p0 c0 {1,S} {8,D} {19,S}
-6 C u0 p0 c0 {2,S} {7,D} {20,S}
-7 C u0 p0 c0 {4,S} {6,D} {23,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {8,S} {11,D} {21,S}
-10 C u0 p0 c0 {4,D} {26,S} {27,S}
-11 C u0 p0 c0 {9,D} {24,S} {25,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {10,S}
-
-C11H16(11279)
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {4,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {3,S} {9,D}
-5 C u0 p0 c0 {2,S} {7,D} {18,S}
-6 C u0 p0 c0 {1,S} {10,D} {19,S}
-7 C u0 p0 c0 {5,D} {8,S} {21,S}
-8 C u0 p0 c0 {7,S} {11,D} {20,S}
-9 C u0 p0 c0 {4,D} {24,S} {25,S}
-10 C u0 p0 c0 {6,D} {26,S} {27,S}
-11 C u0 p0 c0 {8,D} {22,S} {23,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {11,S}
-23 H u0 p0 c0 {11,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {10,S}
-27 H u0 p0 c0 {10,S}
-
-C9H12R(18225)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {4,S} {19,S}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 R u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-
-C9H12R(34500)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {9,S} {21,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C10H14(18434)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {20,S}
-8 C u0 p0 c0 {3,S} {7,D} {19,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C10H14L(20637)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {1,S} {8,D} {18,S}
-5 C u1 p0 c0 {2,S} {7,S} {20,S}
-6 C u0 p0 c0 {3,S} {7,D} {19,S}
-7 C u0 p0 c0 {5,S} {6,D} {23,S}
-8 C u0 p0 c0 {4,D} {9,S} {22,S}
-9 C u0 p0 c0 {8,S} {10,D} {21,S}
-10 C u0 p0 c0 {9,D} {24,S} {25,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 L u0 p0 c0 {6,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {10,S}
-
-C10H13R(18278)
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 R u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C11H14(18772)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {12,S}
-2 C u0 p0 c0 {1,S} {4,S} {13,S} {14,S}
-3 C u0 p0 c0 {1,S} {6,S} {15,S} {16,S}
-4 C u0 p0 c0 {2,S} {8,S} {17,S} {18,S}
-5 C u0 p0 c0 {6,S} {9,S} {19,S} {20,S}
-6 C u0 p0 c0 {3,S} {5,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {23,S}
-8 C u0 p0 c0 {4,S} {7,D} {22,S}
-9 C u0 p0 c0 {5,S} {11,D} {21,S}
-10 C u0 p0 c0 {6,D} {11,S} {25,S}
-11 C u0 p0 c0 {9,D} {10,S} {24,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {11,S}
-25 H u0 p0 c0 {10,S}
-
-C11H15(18454)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {5,S} {13,S} {14,S}
-3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {1,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {2,S} {3,S} {8,D}
-6 C u0 p0 c0 {1,S} {10,D} {21,S}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {23,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 C u0 p0 c0 {6,D} {11,S} {24,S}
-11 C u1 p0 c0 {10,S} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C6H9R(1802)
-1 C u0 p0 c0 {3,S} {7,S} {8,S} {9,S}
-2 C u0 p0 c0 {3,S} {10,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {2,S} {4,D}
-4 C u0 p0 c0 {3,D} {5,S} {13,S}
-5 C u0 p0 c0 {4,S} {6,D} {14,S}
-6 C u0 p0 c0 {5,D} {15,S} {16,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {1,S}
-10 R u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {6,S}
-16 H u0 p0 c0 {6,S}
-
-C11H15(35245)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {3,S} {9,S} {14,S}
-3 C u0 p0 c0 {2,S} {5,S} {8,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-5 C u0 p0 c0 {3,S} {7,S} {17,S} {18,S}
-6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-7 C u1 p0 c0 {4,S} {5,S} {10,S}
-8 C u0 p0 c0 {3,S} {10,D} {22,S}
-9 C u0 p0 c0 {2,S} {11,D} {23,S}
-10 C u0 p0 c0 {7,S} {8,D} {24,S}
-11 C u0 p0 c0 {9,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {9,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C5H8LR(1393)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {9,S}
-3 C u0 p0 c0 {1,S} {10,S} {11,S} {12,S}
-4 C u0 p0 c0 {2,S} {5,D} {13,S}
-5 C u0 p0 c0 {4,D} {14,S} {15,S}
-6 L u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {3,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 R u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-
-C11H15(35243)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {6,S} {12,S}
-2 C u0 p0 c0 {1,S} {3,S} {9,S} {13,S}
-3 C u0 p0 c0 {2,S} {7,S} {8,S} {14,S}
-4 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-5 C u0 p0 c0 {7,S} {10,S} {17,S} {18,S}
-6 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-7 C u1 p0 c0 {3,S} {4,S} {5,S}
-8 C u0 p0 c0 {3,S} {10,D} {23,S}
-9 C u0 p0 c0 {2,S} {11,D} {24,S}
-10 C u0 p0 c0 {5,S} {8,D} {22,S}
-11 C u0 p0 c0 {9,D} {25,S} {26,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {6,S}
-22 H u0 p0 c0 {10,S}
-23 H u0 p0 c0 {8,S}
-24 H u0 p0 c0 {9,S}
-25 H u0 p0 c0 {11,S}
-26 H u0 p0 c0 {11,S}
-
-C12H18L(18253)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {10,S} {13,S}
-2 C u0 p0 c0 {5,S} {6,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {8,S} {20,S} {21,S}
-4 C u0 p0 c0 {1,S} {9,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {8,S} {18,S} {19,S}
-6 C u0 p0 c0 {2,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {8,S} {25,S} {26,S} {27,S}
-8 C u1 p0 c0 {3,S} {5,S} {7,S}
-9 C u0 p0 c0 {4,S} {11,S} {12,D}
-10 C u0 p0 c0 {1,S} {11,D} {28,S}
-11 C u0 p0 c0 {9,S} {10,D} {29,S}
-12 C u0 p0 c0 {9,D} {30,S} {31,S}
-13 H u0 p0 c0 {1,S}
-14 L u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {5,S}
-19 H u0 p0 c0 {5,S}
-20 H u0 p0 c0 {3,S}
-21 H u0 p0 c0 {3,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {10,S}
-29 H u0 p0 c0 {11,S}
-30 H u0 p0 c0 {12,S}
-31 H u0 p0 c0 {12,S}
-
-C10H17LR(3394)
-multiplicity 2
-1 C u0 p0 c0 {4,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {3,S} {8,S} {12,S} {13,S}
-3 C u0 p0 c0 {2,S} {9,S} {14,S} {15,S}
-4 C u0 p0 c0 {1,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {19,S} {20,S} {21,S}
-6 C u0 p0 c0 {8,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {9,S} {25,S} {26,S} {27,S}
-8 C u0 p0 c0 {2,S} {6,S} {10,D}
-9 C u1 p0 c0 {3,S} {7,S} {28,S}
-10 C u0 p0 c0 {1,S} {8,D} {29,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 R u0 p0 c0 {5,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 L u0 p0 c0 {9,S}
-29 H u0 p0 c0 {10,S}
-
-C4H6L(1895)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {6,S} {7,S}
-2 C u1 p0 c0 {1,S} {3,S} {8,S}
-3 C u0 p0 c0 {2,S} {4,D} {9,S}
-4 C u0 p0 c0 {3,D} {10,S} {11,S}
-5 L u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {3,S}
-10 H u0 p0 c0 {4,S}
-11 H u0 p0 c0 {4,S}
-
-C7H11L2(36342)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {8,S} {9,S}
-3 C u0 p0 c0 {5,S} {15,S} {16,S} {17,S}
-4 C u0 p0 c0 {7,S} {12,S} {13,S} {14,S}
-5 C u1 p0 c0 {1,S} {3,S} {18,S}
-6 C u0 p0 c0 {2,S} {7,D} {20,S}
-7 C u0 p0 c0 {4,S} {6,D} {19,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 L u0 p0 c0 {4,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 L u0 p0 c0 {5,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {6,S}
-
-C4H7L(36302)
-1 C u0 p0 c0 {3,S} {5,S} {6,S} {7,S}
-2 C u0 p0 c0 {4,S} {8,S} {9,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,D} {11,S}
-4 C u0 p0 c0 {2,S} {3,D} {12,S}
-5 L u0 p0 c0 {1,S}
-6 H u0 p0 c0 {1,S}
-7 H u0 p0 c0 {1,S}
-8 H u0 p0 c0 {2,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {4,S}
-
-C13H20R(18248)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {6,S} {7,S} {14,S}
-2 C u0 p0 c0 {4,S} {5,S} {11,S} {15,S}
-3 C u0 p0 c0 {1,S} {9,S} {18,S} {19,S}
-4 C u0 p0 c0 {2,S} {9,S} {20,S} {21,S}
-5 C u0 p0 c0 {2,S} {10,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {1,S} {25,S} {26,S} {27,S}
-8 C u0 p0 c0 {9,S} {28,S} {29,S} {30,S}
-9 C u1 p0 c0 {3,S} {4,S} {8,S}
-10 C u0 p0 c0 {5,S} {12,S} {13,D}
-11 C u0 p0 c0 {2,S} {12,D} {31,S}
-12 C u0 p0 c0 {10,S} {11,D} {32,S}
-13 C u0 p0 c0 {10,D} {33,S} {34,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {3,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 R u0 p0 c0 {7,S}
-26 H u0 p0 c0 {7,S}
-27 H u0 p0 c0 {7,S}
-28 H u0 p0 c0 {8,S}
-29 H u0 p0 c0 {8,S}
-30 H u0 p0 c0 {8,S}
-31 H u0 p0 c0 {11,S}
-32 H u0 p0 c0 {12,S}
-33 H u0 p0 c0 {13,S}
-34 H u0 p0 c0 {13,S}
-
-C10H13R(18281)
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 R u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C6H7R(24238)
-1 C u0 p0 c0 {3,S} {4,S} {7,S} {8,S}
-2 C u0 p0 c0 {3,S} {9,S} {10,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {5,D}
-4 C u0 p0 c0 {1,S} {6,D} {12,S}
-5 C u0 p0 c0 {3,D} {6,S} {13,S}
-6 C u0 p0 c0 {4,D} {5,S} {14,S}
-7 R u0 p0 c0 {1,S}
-8 H u0 p0 c0 {1,S}
-9 H u0 p0 c0 {2,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {4,S}
-13 H u0 p0 c0 {5,S}
-14 H u0 p0 c0 {6,S}
-
-C9H12R(18224)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {5,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {3,S} {7,D}
-6 C u0 p0 c0 {3,S} {8,D} {18,S}
-7 C u0 p0 c0 {5,D} {8,S} {20,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 C u1 p0 c0 {1,S} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 R u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C9H12R(38723)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {5,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {9,S} {21,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C10H15(32869)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {7,S}
-2 C u0 p0 c0 {1,S} {8,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {4,S} {12,S} {13,S}
-4 C u0 p0 c0 {3,S} {8,S} {14,S} {15,S}
-5 C u0 p0 c0 {8,S} {10,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {1,S} {21,S} {22,S} {23,S}
-8 C u1 p0 c0 {2,S} {4,S} {5,S}
-9 C u0 p0 c0 {2,S} {10,D} {25,S}
-10 C u0 p0 c0 {5,S} {9,D} {24,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {7,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-
-C9H13(18191)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {4,S} {9,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {5,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {1,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {3,S} {7,D}
-6 C u0 p0 c0 {3,S} {8,D} {18,S}
-7 C u0 p0 c0 {5,D} {8,S} {20,S}
-8 C u0 p0 c0 {6,D} {7,S} {19,S}
-9 C u1 p0 c0 {1,S} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C9H13(20452)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {5,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {7,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u1 p0 c0 {4,S} {5,S} {9,S}
-8 C u0 p0 c0 {2,S} {9,D} {21,S}
-9 C u0 p0 c0 {7,S} {8,D} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C9H13(38809)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {8,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {5,S} {21,S}
-9 C u0 p0 c0 {2,S} {7,D} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C9H12R(38722)
-multiplicity 2
-1 C u0 p0 c0 {3,S} {4,S} {6,S} {10,S}
-2 C u0 p0 c0 {3,S} {8,S} {9,S} {11,S}
-3 C u0 p0 c0 {1,S} {2,S} {12,S} {13,S}
-4 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-5 C u0 p0 c0 {7,S} {8,S} {16,S} {17,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {5,S} {21,S}
-9 C u0 p0 c0 {2,S} {7,D} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 R u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {4,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {5,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C12H16(18717)
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {13,S}
-2 C u0 p0 c0 {1,S} {4,S} {14,S} {15,S}
-3 C u0 p0 c0 {1,S} {8,S} {16,S} {17,S}
-4 C u0 p0 c0 {2,S} {9,S} {18,S} {19,S}
-5 C u0 p0 c0 {8,S} {10,S} {20,S} {21,S}
-6 C u0 p0 c0 {7,S} {22,S} {23,S} {24,S}
-7 C u0 p0 c0 {1,S} {6,S} {9,D}
-8 C u0 p0 c0 {3,S} {5,S} {11,D}
-9 C u0 p0 c0 {4,S} {7,D} {26,S}
-10 C u0 p0 c0 {5,S} {12,D} {25,S}
-11 C u0 p0 c0 {8,D} {12,S} {28,S}
-12 C u0 p0 c0 {10,D} {11,S} {27,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {5,S}
-21 H u0 p0 c0 {5,S}
-22 H u0 p0 c0 {6,S}
-23 H u0 p0 c0 {6,S}
-24 H u0 p0 c0 {6,S}
-25 H u0 p0 c0 {10,S}
-26 H u0 p0 c0 {9,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {11,S}
-
-C10H14(18433)
-1 C u0 p0 c0 {2,S} {5,S} {11,S} {12,S}
-2 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-3 C u0 p0 c0 {5,S} {7,S} {15,S} {16,S}
-4 C u0 p0 c0 {6,S} {17,S} {18,S} {19,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {1,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {2,S}
-15 H u0 p0 c0 {3,S}
-16 H u0 p0 c0 {3,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C9H12R(18184)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {7,S} {10,S}
-2 C u0 p0 c0 {1,S} {5,S} {11,S} {12,S}
-3 C u0 p0 c0 {1,S} {6,S} {13,S} {14,S}
-4 C u0 p0 c0 {6,S} {15,S} {16,S} {17,S}
-5 C u0 p0 c0 {2,S} {8,S} {9,D}
-6 C u1 p0 c0 {3,S} {4,S} {18,S}
-7 C u0 p0 c0 {1,S} {8,D} {19,S}
-8 C u0 p0 c0 {5,S} {7,D} {20,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {3,S}
-15 R u0 p0 c0 {4,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {7,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-
-C9H13(26444)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {5,S} {7,S}
-2 C u0 p0 c0 {1,S} {4,S} {6,S} {10,S}
-3 C u0 p0 c0 {1,S} {4,S} {11,S} {12,S}
-4 C u0 p0 c0 {2,S} {3,S} {13,S} {14,S}
-5 C u0 p0 c0 {1,S} {8,S} {15,S} {16,S}
-6 C u0 p0 c0 {2,S} {17,S} {18,S} {19,S}
-7 C u0 p0 c0 {1,S} {9,D} {21,S}
-8 C u1 p0 c0 {5,S} {9,S} {20,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 H u0 p0 c0 {2,S}
-11 H u0 p0 c0 {3,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {4,S}
-14 H u0 p0 c0 {4,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {5,S}
-17 H u0 p0 c0 {6,S}
-18 H u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {8,S}
-21 H u0 p0 c0 {7,S}
-22 H u0 p0 c0 {9,S}
-
-C9H12R(18180)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {5,S} {10,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {8,D}
-6 C u1 p0 c0 {2,S} {4,S} {19,S}
-7 C u0 p0 c0 {3,S} {9,D} {20,S}
-8 C u0 p0 c0 {5,D} {9,S} {22,S}
-9 C u0 p0 c0 {7,D} {8,S} {21,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 R u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {8,S}
-
-C9H12R(39454)
-multiplicity 2
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {10,S}
-2 C u0 p0 c0 {1,S} {4,S} {8,S} {11,S}
-3 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-4 C u0 p0 c0 {2,S} {7,S} {16,S} {17,S}
-5 C u0 p0 c0 {3,S} {7,S} {14,S} {15,S}
-6 C u0 p0 c0 {1,S} {18,S} {19,S} {20,S}
-7 C u0 p0 c0 {4,S} {5,S} {9,D}
-8 C u1 p0 c0 {2,S} {9,S} {21,S}
-9 C u0 p0 c0 {7,D} {8,S} {22,S}
-10 H u0 p0 c0 {1,S}
-11 H u0 p0 c0 {2,S}
-12 H u0 p0 c0 {3,S}
-13 H u0 p0 c0 {3,S}
-14 H u0 p0 c0 {5,S}
-15 H u0 p0 c0 {5,S}
-16 H u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 R u0 p0 c0 {6,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {6,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-
-C10H13R(18540)
-1 C u0 p0 c0 {2,S} {5,S} {7,S} {11,S}
-2 C u0 p0 c0 {1,S} {6,S} {12,S} {13,S}
-3 C u0 p0 c0 {5,S} {8,S} {14,S} {15,S}
-4 C u0 p0 c0 {6,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {2,S} {4,S} {10,D}
-7 C u0 p0 c0 {1,S} {8,D} {20,S}
-8 C u0 p0 c0 {3,S} {7,D} {19,S}
-9 C u0 p0 c0 {5,D} {21,S} {22,S}
-10 C u0 p0 c0 {6,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 R u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {8,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {9,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
-C12H16(18724)
-1 C u0 p0 c0 {2,S} {5,S} {13,S} {14,S}
-2 C u0 p0 c0 {1,S} {7,S} {15,S} {16,S}
-3 C u0 p0 c0 {5,S} {8,S} {17,S} {18,S}
-4 C u0 p0 c0 {6,S} {19,S} {20,S} {21,S}
-5 C u0 p0 c0 {1,S} {3,S} {9,D}
-6 C u0 p0 c0 {4,S} {7,D} {11,S}
-7 C u0 p0 c0 {2,S} {6,D} {23,S}
-8 C u0 p0 c0 {3,S} {10,D} {22,S}
-9 C u0 p0 c0 {5,D} {10,S} {25,S}
-10 C u0 p0 c0 {8,D} {9,S} {24,S}
-11 C u0 p0 c0 {6,S} {12,D} {26,S}
-12 C u0 p0 c0 {11,D} {27,S} {28,S}
-13 H u0 p0 c0 {1,S}
-14 H u0 p0 c0 {1,S}
-15 H u0 p0 c0 {2,S}
-16 H u0 p0 c0 {2,S}
-17 H u0 p0 c0 {3,S}
-18 H u0 p0 c0 {3,S}
-19 H u0 p0 c0 {4,S}
-20 H u0 p0 c0 {4,S}
-21 H u0 p0 c0 {4,S}
-22 H u0 p0 c0 {8,S}
-23 H u0 p0 c0 {7,S}
-24 H u0 p0 c0 {10,S}
-25 H u0 p0 c0 {9,S}
-26 H u0 p0 c0 {11,S}
-27 H u0 p0 c0 {12,S}
-28 H u0 p0 c0 {12,S}
-
-C10H13L(22766)
-1 C u0 p0 c0 {2,S} {3,S} {6,S} {11,S}
-2 C u0 p0 c0 {1,S} {5,S} {12,S} {13,S}
-3 C u0 p0 c0 {1,S} {7,S} {14,S} {15,S}
-4 C u0 p0 c0 {8,S} {16,S} {17,S} {18,S}
-5 C u0 p0 c0 {2,S} {9,S} {10,D}
-6 C u0 p0 c0 {1,S} {9,D} {19,S}
-7 C u0 p0 c0 {3,S} {8,D} {20,S}
-8 C u0 p0 c0 {4,S} {7,D} {21,S}
-9 C u0 p0 c0 {5,S} {6,D} {22,S}
-10 C u0 p0 c0 {5,D} {23,S} {24,S}
-11 H u0 p0 c0 {1,S}
-12 H u0 p0 c0 {2,S}
-13 H u0 p0 c0 {2,S}
-14 H u0 p0 c0 {3,S}
-15 H u0 p0 c0 {3,S}
-16 L u0 p0 c0 {4,S}
-17 H u0 p0 c0 {4,S}
-18 H u0 p0 c0 {4,S}
-19 H u0 p0 c0 {6,S}
-20 H u0 p0 c0 {7,S}
-21 H u0 p0 c0 {8,S}
-22 H u0 p0 c0 {9,S}
-23 H u0 p0 c0 {10,S}
-24 H u0 p0 c0 {10,S}
-
diff --git a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb
index ba841a86b98..c6314eae741 100644
--- a/ipython/find_parameter_sources_and_assign_uncertainties.ipynb
+++ b/ipython/find_parameter_sources_and_assign_uncertainties.ipynb
@@ -25,26 +25,6 @@
"__Note__: The RMG-database version must match the version used to generate the model. RMG will attempt to recreate the kinetics estimate for each reaction and may fail if the database is different."
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Run RMG job\n",
- "This cell is used only when the user is interested in learning this module with the provided toy model, ./data/parse_source/input.py.\n",
- "The user can speed up the model generation by commenting out the uncertainty block in ./data/parse_source/input.py."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "scrolled": false
- },
- "outputs": [],
- "source": [
- "!python ../rmg.py ./data/parse_source/input.py"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
@@ -108,9 +88,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"print('All Kinetic Sources')\n",
@@ -349,9 +327,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"# See the kinetics correlated parameter partial uncertainties\n",
@@ -368,9 +344,9 @@
],
"metadata": {
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -382,9 +358,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/fragment_reattachment_example.ipynb b/ipython/fragment_reattachment_example.ipynb
index 9c45b4cc7ad..e3aeb9dd52b 100644
--- a/ipython/fragment_reattachment_example.ipynb
+++ b/ipython/fragment_reattachment_example.ipynb
@@ -14,453 +14,17 @@
"execution_count": 1,
"id": "285ac939-646d-46e6-a5b9-286661e1ad18",
"metadata": {},
- "outputs": [
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "WARNING:root:No normalization for BCUT2D_MWHI\n",
- "WARNING:root:No normalization for BCUT2D_MWLOW\n",
- "WARNING:root:No normalization for BCUT2D_CHGHI\n",
- "WARNING:root:No normalization for BCUT2D_CHGLO\n",
- "WARNING:root:No normalization for BCUT2D_LOGPHI\n",
- "WARNING:root:No normalization for BCUT2D_LOGPLOW\n",
- "WARNING:root:No normalization for BCUT2D_MRHI\n",
- "WARNING:root:No normalization for BCUT2D_MRLOW\n",
- "WARNING:root:No normalization for AvgIpc\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
- "import sys\n",
- "rmgpy_loc = \"/home/gridsan/adoner/RMG-Py/\"\n",
- "sys.path.append(rmgpy_loc)\n",
"from rmgpy.molecule.fragment import Fragment\n",
"from rmgpy.tools.canteramodel import Cantera\n",
"from rmgpy.chemkin import load_chemkin_file\n",
- "from rmgpy.molecule.fragment_utils import match_sequences, match_concentrations_with_same_sums, match_concentrations_with_different_sums, shuffle, flatten, merge_frag_to_frag, merge_frag_list\n",
- "import re\n",
+ "from rmgpy.molecule import fragment_utils as frag\n",
"import os\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt"
]
},
- {
- "cell_type": "markdown",
- "id": "045d6ebe-c055-42bc-ae55-643599631ea3",
- "metadata": {},
- "source": [
- "## Defining the class FragList\n",
- "The `FragList` object stores molecule and fragment concentrations from a single time step and provides a series of functions that groups fragments to form molecules. The procedure is described later on in this notebook."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "id": "9802cd48-4a7b-4244-acf8-cba0fc1aab69",
- "metadata": {},
- "outputs": [],
- "source": [
- "class FragList():\n",
- " '''\n",
- " to instantiate a FragList:\n",
- " fl = Fraglist(frag_list)\n",
- " where frag_list is a list of tuples of fragments and their amounts\n",
- " '''\n",
- "\n",
- " def __init__(self, frag_list):\n",
- " self.raw_fragment_output = frag_list\n",
- "\n",
- " def sort(self):\n",
- " '''\n",
- " sort a FragList into\n",
- " general_R_list - 2R fragments\n",
- " general_L_list - 2L fragments\n",
- " rr_ll_list - 2R or 2L fragments\n",
- " r_l_moles - 1R and 1L fragments\n",
- " multi_label_frag_3 - fragments with 3 cutting labels\n",
- " multi_label_frag_4 - fragments with 4 cutting labels\n",
- "\n",
- " note: in our experience fragments with more than 4 cutting labels has never happened, but a warning will be printed if it does happen\n",
- " '''\n",
- " moles_remain = []\n",
- " one_R_dict = {}\n",
- " one_L_dict = {}\n",
- " general_R_list = []\n",
- " general_L_list = []\n",
- " rr_ll_list = []\n",
- " r_l_moles = []\n",
- " multi_label_frag_3 = []\n",
- " multi_label_frag_4 = []\n",
- "\n",
- " for i, item in enumerate(self.raw_fragment_output):\n",
- " frag, amt = item\n",
- " if amt > 1e-6 and '[' not in frag:\n",
- " count_of_L_labels = len(re.findall(r'L', frag))\n",
- " count_of_R_labels = len(re.findall(r'R', frag))\n",
- " count_of_cutting_labels = count_of_L_labels + count_of_R_labels\n",
- " if count_of_R_labels == 0 and count_of_L_labels == 0:\n",
- " moles_remain.append((frag, amt))\n",
- " elif count_of_R_labels == 1 and count_of_L_labels == 0:\n",
- " one_R_dict[frag] = amt\n",
- " elif count_of_R_labels == 2 and count_of_L_labels == 0:\n",
- " general_R_list.append((frag, amt * 2))\n",
- " rr_ll_list.append(frag)\n",
- " elif count_of_R_labels == 0 and count_of_L_labels == 1:\n",
- " one_L_dict[frag] = amt\n",
- " elif count_of_R_labels == 0 and count_of_L_labels == 2:\n",
- " general_L_list.append((frag, amt * 2))\n",
- " rr_ll_list.append(frag)\n",
- " elif count_of_R_labels == 1 and count_of_L_labels == 1:\n",
- " r_l_moles.append((frag, amt))\n",
- " else:\n",
- " if count_of_cutting_labels == 3:\n",
- " multi_label_frag_3.append(\n",
- " (frag, amt)) # 2R1L, 1R2L, 3R, 3L\n",
- " elif count_of_cutting_labels == 4:\n",
- " multi_label_frag_4.append((frag, amt))\n",
- " else:\n",
- " print(\n",
- " f\"Warning! {count_of_cutting_labels} cutting labels in {frag}\")\n",
- " self.R1dict=one_R_dict\n",
- " self.L1dict=one_L_dict\n",
- " self.Rlist=general_R_list\n",
- " self.Llist=general_L_list\n",
- " self.RRLLlist=rr_ll_list\n",
- " self.RLlist=r_l_moles\n",
- " self.CL3=multi_label_frag_3\n",
- " self.CL4=multi_label_frag_4\n",
- " self.molesremain=moles_remain\n",
- "\n",
- " def random_pick_frag(target_dict):\n",
- " '''\n",
- " argument(s): target_dict - dictionary where key = species smiles (fragment or molecule), value = moles\n",
- " returns: tuple of randomly picked (fragment with 1 cutting label, moles)\n",
- "\n",
- " choice is weighted by mole fraction of each fragment\n",
- " '''\n",
- " import random\n",
- " import re\n",
- " frag_dict_list=[x for x in target_dict.items() if len(\n",
- " re.findall(r'[LR]', x[0])) == 1]\n",
- " sum_dict=sum([x[1] for x in frag_dict_list])\n",
- " frag_dict_prob=[x[1] / sum_dict for x in frag_dict_list]\n",
- " item=np.random.choice(frag_dict_list, 1, p = frag_dict_prob)\n",
- "\n",
- " return item\n",
- "\n",
- " def pair_frag(amount, target_dict):\n",
- " '''\n",
- " argument(s): amount - maximum amount of fragments in one pair\n",
- " target_dict - dictionary of species smiles and moles\n",
- " returns: the target_dict with 1 randomly chosen 1-cutting label fragment fully paired with other randomly chosen 1-cutting label fragments\n",
- " '''\n",
- " additional_frag_list=[]\n",
- " frag1=FragList.random_pick_frag(target_dict)\n",
- "\n",
- " if target_dict[frag1] >= amount:\n",
- " target_dict[frag1] -= amount\n",
- " additional_frag_list.append((frag1, amount))\n",
- "\n",
- " else:\n",
- " remain=amount - target_dict[frag1]\n",
- " additional_frag_list.append((frag1, amount))\n",
- " target_dict[frag1]=0\n",
- "\n",
- " while remain > 0:\n",
- " frag1=FragList.random_pick_frag(target_dict)\n",
- "\n",
- " if target_dict[frag1] >= remain:\n",
- " target_dict[frag1] -= remain\n",
- " additional_frag_list.append((frag1, remain))\n",
- " remain=0\n",
- "\n",
- " else:\n",
- " frag_amt=target_dict[frag1]\n",
- " target_dict[frag1]=0\n",
- " additional_frag_list.append((frag1, frag_amt))\n",
- " remain=remain - frag_amt\n",
- " return additional_frag_list\n",
- "\n",
- " def pair_CL4s(self):\n",
- " '''\n",
- " pairs all 4-cutting label fragments with other randomly picked 1-cutting label fragments, creating 3-cutting label fragments\n",
- " '''\n",
- "\n",
- " for species, amount in self.CL4: # 4R, 3R1L, 2R2L, 1R3L, 4L\n",
- " ount_of_R_labels=len(re.findall(r'R', species))\n",
- " count_of_L_labels=len(re.findall(r'L', species))\n",
- " if count_of_R_labels == 4 and count_of_L_labels == 0:\n",
- " paired_frag_list=FragList.pair_frag(amount, self.L1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag=frag_amt[0]\n",
- " amt=frag_amt[1]\n",
- " frag1=frag # 1L\n",
- " frag2=species # 4R\n",
- " frag_new=FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3\n",
- " self.CL3.append((frag_new, amt))\n",
- "\n",
- " elif count_of_R_labels == 0 and count_of_L_labels == 4:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1R\n",
- " frag2 = species # 4L\n",
- " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3L\n",
- " self.CL3.append((frag_new, amt))\n",
- "\n",
- " elif count_of_R_labels == 2 and count_of_L_labels == 2:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1L\n",
- " frag2 = species # 2R2L\n",
- " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 1R2L\n",
- " self.CL3.append((frag_new, amt))\n",
- "\n",
- " elif count_of_R_labels == 3 and count_of_L_labels == 1:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1R\n",
- " frag2 = species # 3R1L\n",
- " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3R\n",
- " self.CL3.append((frag_new, amt))\n",
- "\n",
- " elif count_of_R_labels == 1 and count_of_L_labels == 3:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1L\n",
- " frag2 = species # 1R3L\n",
- " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3L\n",
- " self.CL3.append((frag_new, amt))\n",
- "\n",
- " def pair_CL3s(self):\n",
- " '''\n",
- " pairs all 3-cutting label fragments with other randomly picked 1-cutting label fragments, creating 2-cutting label fragments\n",
- " '''\n",
- "\n",
- " for species, amount in self.CL3:\n",
- " count_of_R_labels = len(re.findall(r'R', species))\n",
- " count_of_L_labels = len(re.findall(r'L', species))\n",
- " if count_of_R_labels == 2 and count_of_L_labels == 1:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1R\n",
- " frag2 = species # 2R1L\n",
- " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R\n",
- " self.Rlist.append((frag_new, amt * 2))\n",
- " self.RRLLlist.append(frag_new)\n",
- "\n",
- " elif count_of_R_labels == 1 and count_of_L_labels == 2:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1L\n",
- " frag2 = species # 1R2L\n",
- " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R\n",
- " self.Llist.append((frag_new, amt * 2))\n",
- " self.RRLLlist.append(frag_new)\n",
- "\n",
- " elif count_of_R_labels == 3 and count_of_L_labels == 0:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.L1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1L\n",
- " frag2 = species # 3R\n",
- " frag_new = FragList.merge_frag_to_frag(frag1, frag2, 'R') # L,R,R\n",
- " self.Rlist.append((frag_new, amt * 2))\n",
- " self.RRLLlist.append(frag_new)\n",
- "\n",
- " # 3L\n",
- " elif count_of_R_labels == 0 and count_of_L_labels == 3:\n",
- " paired_frag_list = FragList.pair_frag(amount, self.R1dict)\n",
- " for frag_amt in paired_frag_list:\n",
- " frag = frag_amt[0]\n",
- " amt = frag_amt[1]\n",
- " frag1 = frag # 1R\n",
- " frag2 = species # 3L\n",
- " frag_new = FragList.merge_frag_to_frag(frag2, frag1, 'R') # L,R,R\n",
- " self.Llist.append((frag_new, amt * 2))\n",
- " self.RRLLlist.append(frag_new)\n",
- "\n",
- " def update_lists(self):\n",
- " '''\n",
- " adds the 1-cuttinglabel fragments remaining after pairing 4- and 3-cutting label fragments to their corresponding list\n",
- " '''\n",
- " for one_R_frag, amt in self.R1dict.items():\n",
- " self.Rlist.append((one_R_frag, amt))\n",
- " for one_L_frag, amt in self.L1dict.items():\n",
- " self.Llist.append((one_L_frag, amt))\n",
- "\n",
- " def grind(conc, size):\n",
- " '''\n",
- " Split fragment concentrations into several repeating concentration units with specified size\n",
- " '''\n",
- " grinded_conc = []\n",
- " for label, c in conc:\n",
- " times = int(c / size)\n",
- " grinded_conc.extend([(label, size)] * times)\n",
- "\n",
- " if c - size * times > 0:\n",
- " grinded_conc.append((label, c - size * times))\n",
- "\n",
- " return grinded_conc\n",
- "\n",
- "\n",
- " def grind_endcaps(self, grindsize=1, repeats=1):\n",
- " '''\n",
- " splits each fragment concentration in to many subconcentrations of a maximum of grindsize\n",
- " '''\n",
- " print('grinding endcaps to {}'.format(grindsize))\n",
- " self.repeats = repeats\n",
- " if self.repeats == 1:\n",
- " self.grindsize = grindsize\n",
- " seed = np.random.randint(0, 100)\n",
- " grmoles = FragList.grind(self.Rlist, self.grindsize)\n",
- " glmoles = FragList.grind(self.Llist, self.grindsize)\n",
- " self.glmoles = FragList.shuffle(glmoles, seed)\n",
- " self.grmoles = FragList.shuffle(grmoles, seed+1)\n",
- " else:\n",
- " print('repeats > 1 not supported')\n",
- "\n",
- " def pair_endcaps(self):\n",
- " '''\n",
- " randomly pairs subconcentrations of endcaps and assigns the correct amount for each pair\n",
- " 2L and 2R fragments will be paired with 2 1-cuttinglabel fragments\n",
- " the remaining fragment subconcentrations are middle pieces\n",
- " '''\n",
- " matches = FragList.match_concentrations_with_same_sums(self.glmoles,\n",
- " self.grmoles,\n",
- " rtol=1e-3)\n",
- " self.endcaps = []\n",
- " self.middles = []\n",
- " for match in matches:\n",
- " pair = match[0]\n",
- " value = match[1]\n",
- " if value > 0.0:\n",
- " lfrag, rfrag = pair\n",
- " if lfrag not in self.RRLLlist:\n",
- " if rfrag not in self.RRLLlist:\n",
- " self.endcaps.append((pair, value))\n",
- " elif rfrag in self.RRLLlist:\n",
- " self.endcaps.append(((lfrag, rfrag, lfrag), value/2))\n",
- " else:\n",
- " raise Error\n",
- " elif lfrag in self.RRLLlist:\n",
- " if rfrag not in self.RRLLlist:\n",
- " self.endcaps.append(((rfrag, lfrag, rfrag), value/2))\n",
- " elif rfrag in self.RRLLlist:\n",
- " self.middles.append((pair, value/2))\n",
- " else:\n",
- " raise Error\n",
- " else:\n",
- " raise Error\n",
- "\n",
- " def grind_middles(self):\n",
- " '''\n",
- " grinds the middle 1L1R fragments into subconcentrations\n",
- " the same grindsize is used as for the endcaps\n",
- " '''\n",
- " print('grinding middle pieces to {}'.format(self.grindsize))\n",
- " if self.repeats == 1:\n",
- " grinded_r_l_moles = FragList.grind(self.RLlist, self.grindsize)\n",
- " seed = np.random.randint(0, 100)\n",
- " self.middles = self.middles + \\\n",
- " FragList.shuffle(grinded_r_l_moles, seed)\n",
- " else:\n",
- " print('repeats > 1 not supported')\n",
- "\n",
- " def distribute_middles(self):\n",
- " '''\n",
- " loop through the middle pieces\n",
- " randomly pick an endcap pair to add to\n",
- " repeat until no more middle pieces \n",
- " '''\n",
- " import random\n",
- " sys.setrecursionlimit(15000)\n",
- " r_l_frag_distri_amt = [0 for i in range(len(self.endcaps))]\n",
- " r_l_frag_distri_dict = [{} for i in range(len(self.endcaps))]\n",
- " for i, r_l_tup in enumerate(self.middles):\n",
- " r_l_frag = r_l_tup[0]\n",
- " r_l_frag_amount = r_l_tup[1]\n",
- " rand_idx = random.randrange(len(self.endcaps))\n",
- " threshold = 1e-15\n",
- " while self.endcaps[rand_idx][1] <= threshold:\n",
- " rand_idx = random.randrange(len(self.endcaps))\n",
- " r_l_frag_distri_amt[rand_idx] += r_l_frag_amount\n",
- " r_l_dict = r_l_frag_distri_dict[rand_idx]\n",
- " if r_l_frag in r_l_dict.keys():\n",
- " r_l_dict[r_l_frag] += r_l_frag_amount\n",
- " else:\n",
- " r_l_dict[r_l_frag] = r_l_frag_amount\n",
- " matches_random = []\n",
- " for i in range(len(self.endcaps)):\n",
- " pair = self.endcaps[i]\n",
- " if r_l_frag_distri_dict[i].keys():\n",
- " r_l_matched = []\n",
- " for r_l_frag, amt in r_l_frag_distri_dict[i].items():\n",
- " r_l_matched.append((r_l_frag, amt))\n",
- " match_list = FragList.match_concentrations_with_different_sums([\n",
- " pair], r_l_matched)\n",
- " for tups in match_list:\n",
- " matches_random.append(tups)\n",
- " else: \n",
- " matches_random.append(pair)\n",
- " flattened_matches_random = [\n",
- " (tuple(FragList.flatten(m[0])), m[1]) for m in matches_random]\n",
- "\n",
- " self.grouped = []\n",
- "\n",
- " for non_cut_mole, val in self.molesremain:\n",
- " self.grouped.append(((non_cut_mole, ), val))\n",
- "\n",
- " self.grouped.extend(flattened_matches_random)\n",
- "\n",
- " def get_mwd(self, bins=10, fname='mwd.png'):\n",
- " '''\n",
- " loop through molecules i.e. grouped fragments\n",
- " calculate molecular weight\n",
- " create histogram of molecular weights, weighted by molar amount\n",
- " store histogram data in histdata\n",
- " '''\n",
- " self.mwd_amts = [x[1] for x in self.grouped]\n",
- " self.mwd_mws = []\n",
- " for fraglist, amt in self.grouped:\n",
- " mw = sum([Fragment().from_smiles_like_string(\n",
- " frag).get_molecular_weight()*1000 for frag in fraglist])\n",
- " self.mwd_mws.append(mw)\n",
- "\n",
- " self.histdata = plt.hist(\n",
- " self.mwd_mws, bins=bins, weights=self.mwd_amts)\n",
- " plt.xlabel(\"Molecular Weight (g/mol)\")\n",
- " plt.ylabel(\"Moles\")\n",
- "\n",
- " def reattach(self, grindsize = 1):\n",
- " '''\n",
- " this parent function combines the steps of reattachment into one\n",
- " '''\n",
- " self.sort() # sort the fragments by number and type of cutting labels\n",
- " self.pair_CL4s() # reattach 4-cutting label fragments to make 3-cutting label fragments\n",
- " self.pair_CL3s() # reattach 3-cutting label fragments to make 2-cutting label fragments\n",
- " self.update_lists() # add 1-cutting label fragments to either Rlist or Llist\n",
- " self.grind_endcaps(grindsize=grindsize) # grind the concentrations of fragments into smaller sub-concentrations\n",
- " self.pair_endcaps() # pair together 1R and 1L fragments to make endcap pairs\n",
- " self.grind_middles() # grind the concentrations of middle LR fragments into smaller sub-concentrations of same size as above\n",
- " self.distribute_middles() # randomly select an endcap pair for each middle LR fragment\n",
- " return self\n",
- "\n"
- ]
- },
{
"cell_type": "markdown",
"id": "b310e4f2-7770-45d8-8b67-1dceb2ab85af",
@@ -472,14 +36,15 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"id": "9d5bd8fb-2a97-487b-8cc2-e1349f5612e1",
"metadata": {},
"outputs": [],
"source": [
"working_dir = os.getcwd()\n",
- "chemkin_path = os.path.join(working_dir, 'data/chem_annotated.inp')\n",
- "species_dict_path = os.path.join(working_dir, 'data/species_dictionary.txt')\n",
+ "# note this is an extremely truncated version of the model to speed up simulation times\n",
+ "chemkin_path = os.path.join(working_dir, 'data/fragment/chem_annotated.inp')\n",
+ "species_dict_path = os.path.join(working_dir, 'data/fragment/species_dictionary.txt')\n",
"results_path = os.path.join(working_dir, 'results')\n",
"if not os.path.exists(results_path):\n",
" os.mkdir(results_path)\n",
@@ -500,7 +65,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"id": "2f9f50fc-eba0-4156-8d87-1ed68294560d",
"metadata": {},
"outputs": [],
@@ -528,16 +93,24 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"id": "6d69f465-2eff-4549-b9af-9531d77de360",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "WARNING:root:Initial mole fractions do not sum to one; normalizing.\n"
+ ]
+ }
+ ],
"source": [
"job = Cantera(species_list=species_list,\n",
" reaction_list=reaction_list, output_directory='temp_detailed')\n",
"job.load_model()\n",
- "job.generate_conditions(reactorTypeList, reactionTimeList,\n",
- " molFracList, Tlist, Plist)\n",
+ "job.generate_conditions(reactor_type_list=reactorTypeList, reaction_time_list=reactionTimeList,\n",
+ " mol_frac_list=molFracList, Tlist=Tlist, Plist=Plist)\n",
"all_data = job.simulate()"
]
},
@@ -551,7 +124,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 5,
"id": "100d1e81-0c4a-499d-bb45-63ed17fc605c",
"metadata": {},
"outputs": [],
@@ -578,7 +151,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 6,
"id": "2082ed31-adaf-4346-bcd2-9ff09666faed",
"metadata": {},
"outputs": [],
@@ -617,12 +190,12 @@
"\n",
" 10. the `FragList.get_mwd()` function plots the histogram of molecular weights of the reattached molecules generated in the previous steps and saves its data under the property `FragList.histdata`.\n",
" \n",
- "- Random reattachment will be repeated 10 times with a new random seed each time, which will allow us to examine the repeatability of reattachment.\n"
+ "- Random reattachment will be repeated 3 times with a new random seed each time, which will allow us to examine the repeatability of reattachment.\n"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 7,
"id": "ebe147a1-ad99-4320-8813-45b2141353f8",
"metadata": {
"tags": []
@@ -632,17 +205,17 @@
"name": "stdout",
"output_type": "stream",
"text": [
- "grinding endcaps to 0.001\n",
- "grinding middle pieces to 0.001\n",
- "grinding endcaps to 0.001\n",
- "grinding middle pieces to 0.001\n",
- "grinding endcaps to 0.001\n",
- "grinding middle pieces to 0.001\n"
+ "grinding endcaps to 0.0009\n",
+ "grinding middle pieces to 0.0009\n",
+ "grinding endcaps to 0.0009\n",
+ "grinding middle pieces to 0.0009\n",
+ "grinding endcaps to 0.0009\n",
+ "grinding middle pieces to 0.0009\n"
]
},
{
"data": {
- "image/png": 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",
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",
"text/plain": [
""
]
@@ -656,8 +229,8 @@
"hdl = []\n",
"hdl = []\n",
"for i in range(3): \n",
- " fl = FragList(frag_list)\n",
- " fl.reattach(grindsize=0.001)\n",
+ " fl = frag.FragList(frag_list)\n",
+ " fl.reattach(grindsize=0.0009) # more stable if lower; may need to re-run to do successfully. \n",
" fl.get_mwd(bins=range(0, 501, 15))\n",
" hdl.append(fl.histdata) # save histogram data for repeatability analysis\n",
"\n"
@@ -676,13 +249,13 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 8,
"id": "83a0e056-66dd-4e79-b4b0-f6b74c518a58",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
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AECqdff8O6DBNa2urqqurlZOT49eek5Ojffv2dThm+/btyszM1G9+8xtddtllGjFihB566CF9/vnnF9yP1+uVx+Px2wAAQHQK6DBNc3Oz2tralJiY6NeemJioxsbGDsccPXpUr7/+uuLj4/XSSy+publZs2bN0ieffHLB80ZKSkq0ZMmSQEoDAAARKqgTWB0Oh99jY0y7tvPOnTsnh8OhjRs36oYbbtBtt92mZcuWaf369RdcHSkuLpbb7fZt9fX1wZQJAAAiQEArI4MGDVJMTEy7VZCmpqZ2qyXnJScn67LLLpPL5fK1jRw5UsYYffjhh7r66qvbjXE6nXI6nYGUBgAAIlRAKyNxcXHKyMhQRUWFX3tFRYWys7M7HDNu3DidPHlSp0+f9rX985//VK9evTR06NAgSgYAANEk4MM0RUVFWr16tdauXavDhw9rwYIFqqurU2FhoaSvDrEUFBT4+k+fPl0DBw7UPffco0OHDqmyslIPP/yw7r33XvXp0yd0rwQAAESkgO8zkp+fr1OnTmnp0qVqaGhQenq6ysvLNXz4cElSQ0OD6urqfP0vueQSVVRU6IEHHlBmZqYGDhyoadOm6fHHHw/dqwAAABEr4PuM2MB9RsK3LwAAQqVL7jMCAAAQaoQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWBVUGCktLVVaWpri4+OVkZGhPXv2dGrc3r17FRsbq+uvvz6Y3QIAgCgUcBgpKyvT/PnztWjRItXU1Gj8+PHKy8tTXV3dRce53W4VFBRo4sSJQRcLAACiT8BhZNmyZZo5c6buu+8+jRw5UsuXL1dqaqpWrlx50XH333+/pk+frqysrKCLBQAA0SegMNLa2qrq6mrl5OT4tefk5Gjfvn0XHLdu3Tp98MEHWrx4cXBVAgCAqBUbSOfm5ma1tbUpMTHRrz0xMVGNjY0djjly5IgWLlyoPXv2KDa2c7vzer3yer2+xx6PJ5AyAQBABAnqBFaHw+H32BjTrk2S2traNH36dC1ZskQjRozo9M8vKSmRy+XybampqcGUCQAAIkBAYWTQoEGKiYlptwrS1NTUbrVEklpaWlRVVaU5c+YoNjZWsbGxWrp0qd5++23FxsZq165dHe6nuLhYbrfbt9XX1wdSJgAAiCABHaaJi4tTRkaGKioq9KMf/cjXXlFRoR/+8Ift+ickJOjAgQN+baWlpdq1a5defPFFpaWldbgfp9Mpp9MZSGkAACBCBRRGJKmoqEh33XWXMjMzlZWVpeeee051dXUqLCyU9NWqxokTJ7Rhwwb16tVL6enpfuOHDBmi+Pj4du0AAKBnCjiM5Ofn69SpU1q6dKkaGhqUnp6u8vJyDR8+XJLU0NDwtfccAQAAOM9hjDG2i/g6Ho9HLpdLbrdbCQkJtsuRJO3YEb595eaGb18AAIRKZ9+/+W4aAABgFWEEAABYRRgBAABWEUYAAIBVhBEAAGAVYQQAAFhFGAEAAFYRRgAAgFWEEQAAYBVhBAAAWEUYAQAAVhFGAACAVYQRAABgFWEEAABYRRgBAABWxdouAN3PyZOBj0lJCX0dAICegZURAABgFSsjaKexMfAxrIwAAILFyggAALCKMAIAAKziME0UC+ZEVAAAwo2VEQAAYBUrI2jn449tVwAA6ElYGQEAAFaxMhLFgrlEFwCAcGNlBAAAWEUYAQAAVnGYJopxIioAIBKwMgIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAKsIIAACwKqgwUlpaqrS0NMXHxysjI0N79uy5YN+tW7dq0qRJGjx4sBISEpSVlaUdO3YEXTAAAIguAd+BtaysTPPnz1dpaanGjRunVatWKS8vT4cOHdKwYcPa9a+srNSkSZP0q1/9Sv3799e6des0ZcoU/f3vf9fo0aND8iIQuU6eDG5cSkpo6wAA2OMwxphABowdO1ZjxozRypUrfW0jR47U1KlTVVJS0qmfcc011yg/P1+PPvpop/p7PB65XC653W4lJCQEUm6XCefiTm5ucOMioUbCCABEr86+fwd0mKa1tVXV1dXKycnxa8/JydG+ffs69TPOnTunlpYWDRgw4IJ9vF6vPB6P3wYAAKJTQIdpmpub1dbWpsTERL/2xMRENTY2dupnPPnkkzpz5oymTZt2wT4lJSVasmRJIKUhQnXyn007rIwAQPQI6gRWh8Ph99gY066tI5s2bdJjjz2msrIyDRky5IL9iouL5Xa7fVt9fX0wZQIAgAgQ0MrIoEGDFBMT024VpKmpqd1qyX8rKyvTzJkz9cILL+jWW2+9aF+n0ymn0xlIaQAAIEIFtDISFxenjIwMVVRU+LVXVFQoOzv7guM2bdqku+++W88//7wmT54cXKUAACAqBXxpb1FRke666y5lZmYqKytLzz33nOrq6lRYWCjpq0MsJ06c0IYNGyR9FUQKCgr01FNP6cYbb/StqvTp00culyuELwUAAESigMNIfn6+Tp06paVLl6qhoUHp6ekqLy/X8OHDJUkNDQ2qq6vz9V+1apXOnj2r2bNna/bs2b72GTNmaP369d/8FQDgEmkAES3gMCJJs2bN0qxZszp87r8DxmuvvRbMLtBDfPyx7QoAALbx3TQAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwKqgrqYB0L3wHT8AIhlhBIgC4bxEmnuaAAg1DtMAAACrWBlBRArm0zmfzAGgeyKMAAgI56eExv79wY0bMya0dQDdAWEEACzgqxCA/yCMICIF8+mcT+YA0D0RRhCR+FQZGsFeGYOegSunEC6EEaAHC2aFiSAIINQIIwAQQTjxFdGIMAJ0I+E+bMIqR+QJ5++MK6cQLtz0DAAAWMXKCNCNBPtJFED3xYnAX48wAgDoEIfxEC6EEQBhwadDRAMuh+8ahBGgG4nmT6IHDgQ3jjACRD/CCNBF+ASFnopVMH/hviopEr9IlDACdBFORgWiTyTcKDASvy6DMAJ8jWBvMhXNh1yAi4nm+5Pwd901CCMA8H84vIBoEImBiTACfI1I/MNGcKL5Ez3QnRFGEBLBHsoAEH0I8AgUYQQA/g9voj0HV7t1L4SRCBAJfzT8TxzdSST8zQD4D8IIAKDHCfYmfOgahJEIwB8NEBju8RKZgjn3bMyY0NeB8COMAIg6HDaMTPzeei7CCAD0AFzxhu6MMAIAPUC0rjoQsqIDYQQAviHeEO2J1pAl9ayrwoIKI6Wlpfrtb3+rhoYGXXPNNVq+fLnGjx9/wf67d+9WUVGRDh48qJSUFP3iF79QYWFh0EUDwdixw3YFiFbR/IYIe3rSxQsBh5GysjLNnz9fpaWlGjdunFatWqW8vDwdOnRIw4YNa9f/2LFjuu222/Szn/1Mf/rTn7R3717NmjVLgwcP1h133BGSFwEgerHqAEQ/hzHGBDJg7NixGjNmjFauXOlrGzlypKZOnaqSkpJ2/X/5y19q+/btOnz4sK+tsLBQb7/9tt54441O7dPj8cjlcsntdishISGQcrsMn7IBANEiN7drfm5n378DWhlpbW1VdXW1Fi5c6Neek5Ojffv2dTjmjTfeUE5Ojl9bbm6u1qxZoy+//FK9e/duN8br9crr9foeu91uSV+9qO7izBnbFQAAEBpd9fZ6/n3769Y9Agojzc3NamtrU2Jiol97YmKiGi9wl6HGxsYO+589e1bNzc1KTk5uN6akpERLlixp156amhpIuQAAoBtoaWmRy+W64PNBncDqcDj8Hhtj2rV9Xf+O2s8rLi5WUVGR7/G5c+f0ySefaODAgRfdT6A8Ho9SU1NVX1/fbQ7/RCvmOryY7/BhrsOHuQ6fUM21MUYtLS1KSUm5aL+AwsigQYMUExPTbhWkqamp3erHeUlJSR32j42N1cCBAzsc43Q65XQ6/dr69+8fSKkBSUhI4B92mDDX4cV8hw9zHT7MdfiEYq4vtiJyXq9AfmBcXJwyMjJUUVHh115RUaHs7OwOx2RlZbXrv3PnTmVmZnZ4vggAAOhZAgojklRUVKTVq1dr7dq1Onz4sBYsWKC6ujrffUOKi4tVUFDg619YWKjjx4+rqKhIhw8f1tq1a7VmzRo99NBDoXsVAAAgYgV8zkh+fr5OnTqlpUuXqqGhQenp6SovL9fw4cMlSQ0NDaqrq/P1T0tLU3l5uRYsWKBnnnlGKSkpevrpp7vFPUacTqcWL17c7pAQQo+5Di/mO3yY6/BhrsMn3HMd8H1GAAAAQingwzQAAAChRBgBAABWEUYAAIBVhBEAAGBVjw4jpaWlSktLU3x8vDIyMrRnzx7bJUWcyspKTZkyRSkpKXI4HNq2bZvf88YYPfbYY0pJSVGfPn30/e9/XwcPHvTr4/V69cADD2jQoEHq27evfvCDH+jDDz8M46vo/kpKSvS9731P/fr105AhQzR16lS99957fn2Y69BYuXKlrrvuOt/NnrKysvTXv/7V9zzz3HVKSkrkcDg0f/58XxvzHTqPPfaYHA6H35aUlOR73upcmx5q8+bNpnfv3uYPf/iDOXTokJk3b57p27evOX78uO3SIkp5eblZtGiR2bJli5FkXnrpJb/nn3jiCdOvXz+zZcsWc+DAAZOfn2+Sk5ONx+Px9SksLDSXXXaZqaioMPv37zcTJkwwo0aNMmfPng3zq+m+cnNzzbp168y7775ramtrzeTJk82wYcPM6dOnfX2Y69DYvn27+ctf/mLee+89895775lHHnnE9O7d27z77rvGGOa5q/zjH/8wl19+ubnuuuvMvHnzfO3Md+gsXrzYXHPNNaahocG3NTU1+Z63Odc9NozccMMNprCw0K/tO9/5jlm4cKGliiLff4eRc+fOmaSkJPPEE0/42r744gvjcrnMs88+a4wx5tNPPzW9e/c2mzdv9vU5ceKE6dWrl3nllVfCVnukaWpqMpLM7t27jTHMdVe79NJLzerVq5nnLtLS0mKuvvpqU1FRYW6++WZfGGG+Q2vx4sVm1KhRHT5ne6575GGa1tZWVVdXKycnx689JydH+/bts1RV9Dl27JgaGxv95tnpdOrmm2/2zXN1dbW+/PJLvz4pKSlKT0/nd3ERbrdbkjRgwABJzHVXaWtr0+bNm3XmzBllZWUxz11k9uzZmjx5sm699Va/duY79I4cOaKUlBSlpaXpzjvv1NGjRyXZn+ugvrU30jU3N6utra3dl/slJia2+1I/BO/8XHY0z8ePH/f1iYuL06WXXtquD7+LjhljVFRUpJtuuknp6emSmOtQO3DggLKysvTFF1/okksu0UsvvaTvfve7vv/hMs+hs3nzZu3fv19vvfVWu+f4dx1aY8eO1YYNGzRixAh99NFHevzxx5Wdna2DBw9an+seGUbOczgcfo+NMe3a8M0FM8/8Li5szpw5euedd/T666+3e465Do1vf/vbqq2t1aeffqotW7ZoxowZ2r17t+955jk06uvrNW/ePO3cuVPx8fEX7Md8h0ZeXp7vv6+99lplZWXpyiuv1B//+EfdeOONkuzNdY88TDNo0CDFxMS0S3JNTU3tUiGCd/4s7YvNc1JSklpbW/Xvf//7gn3wHw888IC2b9+uV199VUOHDvW1M9ehFRcXp6uuukqZmZkqKSnRqFGj9NRTTzHPIVZdXa2mpiZlZGQoNjZWsbGx2r17t55++mnFxsb65ov57hp9+/bVtddeqyNHjlj/t90jw0hcXJwyMjJUUVHh115RUaHs7GxLVUWftLQ0JSUl+c1za2urdu/e7ZvnjIwM9e7d269PQ0OD3n33XX4X/48xRnPmzNHWrVu1a9cupaWl+T3PXHctY4y8Xi/zHGITJ07UgQMHVFtb69syMzP105/+VLW1tbriiiuY7y7k9Xp1+PBhJScn2/+3/Y1Of41g5y/tXbNmjTl06JCZP3++6du3r/nXv/5lu7SI0tLSYmpqakxNTY2RZJYtW2Zqamp8l0g/8cQTxuVyma1bt5oDBw6Yn/zkJx1eKjZ06FDzt7/9zezfv9/ccsstXJb3X37+858bl8tlXnvtNb/L8j777DNfH+Y6NIqLi01lZaU5duyYeeedd8wjjzxievXqZXbu3GmMYZ672v+/msYY5juUHnzwQfPaa6+Zo0ePmjfffNPcfvvtpl+/fr73PZtz3WPDiDHGPPPMM2b48OEmLi7OjBkzxneZJDrv1VdfNZLabTNmzDDGfHW52OLFi01SUpJxOp3mf/7nf8yBAwf8fsbnn39u5syZYwYMGGD69Oljbr/9dlNXV2fh1XRfHc2xJLNu3TpfH+Y6NO69917f/xcGDx5sJk6c6AsixjDPXe2/wwjzHTrn7xvSu3dvk5KSYn784x+bgwcP+p63OdcOY4z5ZmsrAAAAweuR54wAAIDugzACAACsIowAAACrCCMAAMAqwggAALCKMAIAAKwijAAAAKsIIwAAwCrCCAAAsIowAgAArCKMAAAAqwgjAADAqv8FHvROWj5G/jwAAAAASUVORK5CYII=",
"text/plain": [
""
]
@@ -718,443 +291,454 @@
"text": [
"species mole percent\n",
"C.......................................................................................................24.35%\n",
- "C=CC....................................................................................................20.65%\n",
- "miscillaneous large molecules............................................................................9.93%\n",
- "CCC......................................................................................................1.39%\n",
- "C=CC=CC..................................................................................................1.29%\n",
- "C=CCCC...................................................................................................1.09%\n",
- "C=CCC(C)C=CC.............................................................................................1.06%\n",
- "C=C(C)C=CC...............................................................................................0.84%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.77%\n",
- "CC=CCC...................................................................................................0.77%\n",
- "C=C(C)CCC................................................................................................0.76%\n",
- "CC=CC(C)CCC..............................................................................................0.74%\n",
- "C=CCC(C)CC(C)CC(C)CCC....................................................................................0.71%\n",
- "C=CCC(=C)C...............................................................................................0.67%\n",
- "C=CCC=C..................................................................................................0.66%\n",
- "C=C(C)C...................................................................................................0.6%\n",
- "CC=CC(C)C=CC.............................................................................................0.59%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.58%\n",
+ "C=CC....................................................................................................20.71%\n",
+ "miscellaneous large molecules............................................................................8.93%\n",
+ "CCC......................................................................................................1.53%\n",
+ "C=CC=CC...................................................................................................1.2%\n",
+ "C=CCCC...................................................................................................1.11%\n",
+ "C=C(C)C=CC...............................................................................................0.96%\n",
+ "C=CCC(C)C=CC..............................................................................................0.8%\n",
+ "CC=CC(C)CCC..............................................................................................0.73%\n",
+ "C=CCC(C)CC(C)CC(C)CCC....................................................................................0.73%\n",
+ "CC=CCC...................................................................................................0.72%\n",
+ "C=C(C)CCC.................................................................................................0.7%\n",
+ "C=CCC(=C)C...............................................................................................0.62%\n",
+ "C=C(C)CC(C)C=CC...........................................................................................0.6%\n",
+ "C=CCC(C)CC(=C)C...........................................................................................0.6%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.57%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)C=CC..............................................................................0.57%\n",
"CC1=CCCC1................................................................................................0.57%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..................................................................0.55%\n",
- "CCCCC....................................................................................................0.52%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................................0.5%\n",
- "C=C(C)CC(C)C=CC..........................................................................................0.49%\n",
- "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................................0.45%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC............................................................0.45%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)C=CC..............................................................................0.44%\n",
- "CC=CC(C)C................................................................................................0.44%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................................0.42%\n",
- "C=C(C)CC(C)CC(C)CC(C)CCC.................................................................................0.42%\n",
- "C=CCC(C)CCC..............................................................................................0.41%\n",
- "C=CCC(C)CC(=C)C..........................................................................................0.41%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.4%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CCC................................................................................0.4%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.4%\n",
- "CCCC(C)CC(C)CC(C)C.......................................................................................0.39%\n",
+ "CCCCC....................................................................................................0.56%\n",
+ "C=CCC(C)CC(C)CC(C)C=CC...................................................................................0.55%\n",
+ "C=C(C)C..................................................................................................0.54%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.51%\n",
+ "CC=CC(C)C.................................................................................................0.5%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CCC.................................................................................0.48%\n",
+ "C=CCC(C)CC(C)CC(C)C......................................................................................0.46%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.45%\n",
+ "CCCC(C)CC(C)CC(C)CCC.....................................................................................0.44%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CCC...............................................................................0.43%\n",
+ "C=CCC=C..................................................................................................0.43%\n",
+ "CC=CC(C)CC(C)C=CC........................................................................................0.43%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.....................................................................0.43%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..................................................................0.43%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................................0.43%\n",
+ "C=CCC(C)CC(C)CC(C)CC(=C)C................................................................................0.42%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................................0.41%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.................................................................0.41%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)C.................................................................................0.39%\n",
+ "C=CCC(C)C................................................................................................0.39%\n",
"CC1=CC=CC1...............................................................................................0.39%\n",
- "C=CCC(C)CC(C)CC(C)C......................................................................................0.38%\n",
- "C=C(C)CC(C)CCC...........................................................................................0.38%\n",
"CC=CC(C)CC(C)CC(C)CCC....................................................................................0.38%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................................................0.37%\n",
- "CCCC(C)CC(C)CC(C)CCC.....................................................................................0.37%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.................................................................0.36%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)C.................................................................................0.35%\n",
- "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.35%\n",
- "CC=CC(C)CC(C)C=CC........................................................................................0.34%\n",
- "C=CCC(C)CC(C)CC(C)C=CC...................................................................................0.34%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.................................................................0.33%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................0.33%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC...................................................0.32%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................................0.32%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.....................................................0.31%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C....................................................................0.29%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(=C)C...........................................................................0.28%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.28%\n",
- "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.28%\n",
+ "CC=CC(C)C=CC.............................................................................................0.38%\n",
+ "C=CCC(C)CCC..............................................................................................0.38%\n",
+ "CCCC(C)CC(C)CC(C)C.......................................................................................0.36%\n",
+ "C=CCC(C)CC(C)CC(C)CC=C...................................................................................0.36%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................0.35%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................................................0.35%\n",
+ "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................................0.34%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC............................................................0.32%\n",
+ "C=C(C)CC(=C)C............................................................................................0.32%\n",
+ "C=C(C)CC(C)CCC...........................................................................................0.32%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.32%\n",
+ "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................................0.32%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)C=CC...............................................................................0.3%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................................0.3%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..................................................................0.3%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.................................................0.3%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(=C)C...........................................................................0.29%\n",
+ "C=C(C)CC(C)CC(C)C=CC.....................................................................................0.29%\n",
+ "C=C(C)CC(C)CC(C)CC(C)C=CC................................................................................0.29%\n",
+ "C=CCC(C)CC(C)C=CC........................................................................................0.28%\n",
"CC1=CCC=C1...............................................................................................0.28%\n",
- "C=C(C)CC(C)CC(C)CC(C)C=CC................................................................................0.28%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.25%\n",
- "C=CCC(C)CC(C)CC(C)CC=C...................................................................................0.25%\n",
- "C=CCC(C)CC(C)C=CC........................................................................................0.25%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C............................................................0.24%\n",
- "C=CCC(C)CC(C)CC(C)CC(=C)C................................................................................0.24%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...............................................................0.24%\n",
- "C=C(C)CC(C)CC(C)C=CC.....................................................................................0.24%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................................................0.24%\n",
- "C=C(C)CC(C)C.............................................................................................0.22%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................................................0.22%\n",
- "C=CCC(C)C................................................................................................0.22%\n",
- "C=C(C)CC(C)CC(C)CC(C)C...................................................................................0.21%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)C.................................................................................0.21%\n",
- "C=CCC(C)CC=C.............................................................................................0.21%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC......................................................0.21%\n",
- "C=C(C)CC(=C)C............................................................................................0.21%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.2%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................................0.2%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.............................................0.19%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.............................................................0.19%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.19%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..................................................0.19%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C............................................................0.27%\n",
+ "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.........................................................0.26%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)C.................................................................................0.25%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.............................................................0.25%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.....................................................0.25%\n",
+ "C=C(C)CC(C)C.............................................................................................0.25%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..................................................0.24%\n",
+ "C=C(C)CC(C)CC(C)CC(C)C...................................................................................0.23%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC...................................................0.23%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.23%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C....................................................................0.23%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................0.23%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CCC............................................................................0.22%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..................................................0.22%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................................0.2%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.2%\n",
+ "C=CCC(C)CC=C..............................................................................................0.2%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.......................................................................0.2%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC=C..............................................................................0.19%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CCC...............................................................................0.19%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................0.19%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.19%\n",
"C1=CCCC1.................................................................................................0.18%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CCC...............................................................................0.18%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(=C)C.............................................................................0.17%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C...............................................................0.18%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.............................................0.18%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................................................0.18%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................................................0.17%\n",
"C=C(C)CC(C)CC(=C)C.......................................................................................0.17%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.17%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C........................................................................0.17%\n",
- "CCC=C(C)C................................................................................................0.17%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..................................................0.16%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................................................0.16%\n",
- "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.16%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.16%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)C=CC..............................................................................0.16%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.16%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.17%\n",
+ "CCC=C(C)C................................................................................................0.16%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C.....................................................0.16%\n",
"CC=CC(C)CC(C)C...........................................................................................0.16%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................0.16%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC................................................0.15%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.........................................................0.15%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..............................................................0.14%\n",
- "CC=CC(C)CC(C)CCC.........................................................................................0.14%\n",
- "C=C......................................................................................................0.13%\n",
+ "CCCC(C)C.................................................................................................0.16%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.15%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.....................................................0.15%\n",
+ "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.......................................................0.15%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)C............................................................................0.15%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)C..............................................................................0.15%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC................................................................0.14%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(=C)C.............................................................................0.14%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.......................................................0.14%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.14%\n",
+ "C=CC=C(C)C...............................................................................................0.14%\n",
"C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.13%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CCC............................................................................0.12%\n",
- "C1=CCC=C1................................................................................................0.12%\n",
+ "CC=CC(C)CC(C)CCC.........................................................................................0.13%\n",
+ "C=C......................................................................................................0.13%\n",
"C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC..............................................0.12%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC=C..............................................................................0.11%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.......................................................0.11%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C.....................................................0.11%\n",
- "CCCC(C)C.................................................................................................0.11%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC......................................................................0.11%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.....................................................0.11%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C................................................................0.1%\n",
+ "C1=CCC=C1................................................................................................0.12%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC........................................0.11%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C..............................................................0.11%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.11%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC.................................................0.11%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C................................................0.11%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.........................................................................0.1%\n",
+ "CCCCC(C)CC(C)CC(C)C.......................................................................................0.1%\n",
"CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..............................................................0.1%\n",
- "C=CC=CCC=C................................................................................................0.1%\n",
- "C=CCC(C)CC(C)C............................................................................................0.1%\n",
- "CC=CC(C)=CCC..............................................................................................0.1%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC.........................................0.1%\n",
- "CCC=C(C)CCC...............................................................................................0.1%\n",
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+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC..............................................0.0%\n",
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+ "C=C(C)CC(C)CC(C)CC(C)C=C(C)C=CC...........................................................................0.0%\n",
+ "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC=C.........................................................................0.0%\n",
+ "C=CC=CC(C)CC(C)CC(C)CCC...................................................................................0.0%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C......................................0.0%\n",
"CCC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC...........................................................0.0%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C................................0.0%\n",
- "C=C(C)C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.0%\n",
+ "CC=CC.....................................................................................................0.0%\n",
+ "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC......................................................0.0%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................0.0%\n",
+ "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................0.0%\n",
+ "CCC=C(C)CC(C)CC(C)CC(C)C..................................................................................0.0%\n",
"CCC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=C(C)C.............................................................0.0%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC(C)CC(C)CC(C)C.........................................0.0%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................0.0%\n",
- "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C................................................................0.0%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC(C)CC(C)CC(C)C...................................................0.0%\n",
- "CC=CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...................................................................0.0%\n",
- "CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................................................0.0%\n",
- "C=C(C)CC(C)CC(C)C(C)CC(C)C(C)CCC..........................................................................0.0%\n",
- "C=CC=C(C)CC(C)CC(C)CC(C)CCC...............................................................................0.0%\n",
- "CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CC(C)C..............................................0.0%\n",
- "C=CC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C....................................................0.0%\n",
- "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C...................................................0.0%\n",
- "C=C(C)CC(C)CC(C)C(C)CC(C)C(C)CC(C)C(C)CCC.................................................................0.0%\n",
- "C=C(C)C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.0%\n",
- "CC=CC(C)C1C=CC=C1C........................................................................................0.0%\n",
- "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C.............................................................0.0%\n",
- "CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C1C=CC=C1C................................................................0.0%\n",
+ "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.0%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C............................................0.0%\n",
+ "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)C..........................................................................0.0%\n",
+ "CC(C)=CC(C)C..............................................................................................0.0%\n",
"C=CCCC=C..................................................................................................0.0%\n",
- "C=C(C)C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C....................................0.0%\n",
- "CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C........................................................0.0%\n",
- "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=C...............................................................0.0%\n",
- "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................................................0.0%\n",
- "CC=CC(C)=CC(C)CC(C)C=CC...................................................................................0.0%\n",
- "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=C(C)C.........................................0.0%\n",
- "CC=CC(C)=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC..........................................................0.0%\n",
- "CCC=CCC(C)C=CCC(C)C=CCC(C)C...............................................................................0.0%\n",
+ "CC=CC(C)C=CCCC=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................0.0%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)C(C)CC(C)C(C)CC(C)C=C(C)C..........................................................0.0%\n",
+ "CC(C)=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C..................................0.0%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CCC(C)CC(C)CC(C)C.................................0.0%\n",
"C=C1C=CC=C1...............................................................................................0.0%\n",
- "C=CCC(C)CC(C)CC(C)CCC=CC..................................................................................0.0%\n",
- "CC=CCC(C)CC(C)CC(C)C=CC...................................................................................0.0%\n",
- "C=CC=CC(C)CC(C)CC(C)CCC...................................................................................0.0%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC.......................................................................0.0%\n",
- "C=C(C)C=CCC(C)CC(C)CC(C)C=CC..............................................................................0.0%\n",
- "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.0%\n",
- "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.......................................0.0%\n",
- "C=C(C)C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C........................................0.0%\n",
- "C=CCC(C)CCC(=C)C..........................................................................................0.0%\n",
- "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=C(C)C=CC........................................0.0%\n",
- "C=CCC(C=C)CC..............................................................................................0.0%\n",
- "C=CC=C(C)CCC(C)CC(C)=CC=C.................................................................................0.0%\n",
- "C=CC=CCCC=CC=C............................................................................................0.0%\n",
- "CC(C)CCC(C)CC(C)CC(C)C....................................................................................0.0%\n",
+ "C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC=CC(=C)C...........................................0.0%\n",
+ "CC=CC(C)=CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC...........................................0.0%\n",
+ "CCC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C.....................................0.0%\n",
+ "C=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C............................................0.0%\n",
+ "C=CC=C(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C........................................0.0%\n",
+ "C=CC=C(C)CC(=C)C..........................................................................................0.0%\n",
+ "CC=CCCC...................................................................................................0.0%\n",
+ "CC=CCCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)C=CC....................................................0.0%\n",
+ "C=CC=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)=CCC.............................................................0.0%\n",
+ "CC=CC(C)CCC(C)CC(C)CC(C)CC(C)C............................................................................0.0%\n",
+ "C=C(C)C=CCC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(C)CC(=C)C.............................................0.0%\n",
+ "C=CCC(C=C)C(C)C=CC........................................................................................0.0%\n",
+ "C=CC=CCCC=CCC.............................................................................................0.0%\n",
"CC1=CC(C2C=C(C)CC2)CC1....................................................................................0.0%\n",
+ "C=CCC(C)CCC(C)CC=C........................................................................................0.0%\n",
"C=CC=CCCC=C...............................................................................................0.0%\n",
"C=CCCC1=CC=CC1............................................................................................0.0%\n"
]
@@ -1167,9 +751,9 @@
" if len(fraglist) == 1:\n",
" new = fraglist[0].smiles\n",
" elif len(fraglist) < 6:\n",
- " new = FragList.merge_frag_list(fraglist)[0].smiles\n",
+ " new = frag.merge_frag_list(fraglist)[0].smiles\n",
" else:\n",
- " new = 'miscillaneous large molecules'\n",
+ " new = 'miscellaneous large molecules'\n",
" if new in results_dictionary.keys():\n",
" results_dictionary[new] += amt\n",
" else:\n",
@@ -1185,7 +769,7 @@
],
"metadata": {
"kernelspec": {
- "display_name": "rmg_noj",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -1199,7 +783,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.12"
+ "version": "3.9.23"
}
},
"nbformat": 4,
diff --git a/ipython/local_uncertainty.ipynb b/ipython/local_uncertainty.ipynb
index 659773e4c59..d0d9d24a2f1 100644
--- a/ipython/local_uncertainty.ipynb
+++ b/ipython/local_uncertainty.ipynb
@@ -83,9 +83,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": false
- },
+ "metadata": {},
"outputs": [],
"source": [
"# Show the sensitivity plots\n",
@@ -116,11 +114,29 @@
"\n",
"$$\\Delta G = \\frac{1}{\\sqrt{12}}(G_{max} - G_{min})$$\n",
"\n",
- "Several parameters are used to formulate $\\Delta G$. These are $\\Delta G_\\mathrm{library}$, $\\Delta G_\\mathrm{QM}$, $\\Delta G_\\mathrm{GAV}$, and $\\Delta _\\mathrm{group}$.\n",
+ "But first, to formulate $G$, we need to compile all the uncertainty sources. These are $ G_\\mathrm{library}$, $ G_\\mathrm{QM}$, $ G_\\mathrm{GAV}$, and $G _\\mathrm{group}$. We treat each as continuous random variable and add them to get the species uncertainty.\n",
" \n",
- "$$\\Delta G = \\delta_\\mathrm{library} \\Delta G_\\mathrm{library} + \\delta_\\mathrm{QM} \\Delta G_\\mathrm{QM} + \\delta_\\mathrm{GAV} \\left( \\Delta G_\\mathrm{GAV} + \\sum_{\\mathrm{group}\\; j} d_{j} \\Delta G_{\\mathrm{group},j} \\right)$$\n",
+ "$$G = \\delta_\\mathrm{library} G_\\mathrm{library} + \\delta_\\mathrm{QM} G_\\mathrm{QM} + \\delta_\\mathrm{GAV} \\left( G_\\mathrm{GAV} + \\sum_{\\mathrm{group}\\; j} d_{j} G_{\\mathrm{group},j} \\right)$$\n",
+ "\n",
+ "Here $\\delta$ is the Kronecker delta function which equals one if the species thermochemistry parameter contains the particular source type and $d_{j}$ is the degeneracy (number of appearances) of the thermo group used to construct the species thermochemistry in the group additivity method.\n",
+ "\n",
+ "To compute $\\Delta G$, we'll use the property that the variance of the sum of two random variables, $X$ and $Y$, is:\n",
+ "$$Var(X+Y)=Var(X)+Var(Y)+2Cov(X,Y)$$\n",
+ "\n",
+ "If we assume that each uncertainty source is uncorrelated with the others, then the covariance term drops out:\n",
+ "\n",
+ "$$Var(X+Y)=Var(X)+Var(Y), \\ \\ \\ \\ \\ X \\neq Y$$\n",
+ "\n",
+ "And we can compute the variance of $G$:\n",
+ "\n",
+ "$$Var(G) = \\delta_\\mathrm{library} Var(G_\\mathrm{library}) + \\delta_\\mathrm{QM} Var(G_\\mathrm{QM})+\\delta_\\mathrm{GAV} \\left(Var(G_\\mathrm{GAV}) +\\sum_{group\\ j} d_j^2 Var(G_\\mathrm{group\\ j}) \\right)$$\n",
+ "\n",
+ "\n",
+ "The standard deviation $\\Delta G$ is then the square root of that (this is an example of adding in quadrature):\n",
+ "$$\\Delta(G) = \\sqrt{\\delta_\\mathrm{library} Var(G_\\mathrm{library}) + \\delta_\\mathrm{QM} Var(G_\\mathrm{QM})+\\delta_\\mathrm{GAV} \\left(Var(G_\\mathrm{GAV}) +\\sum_{group\\ j} d_j^2 Var(G_\\mathrm{group\\ j}) \\right)}$$\n",
+ "\n",
+ "\n",
"\n",
- "where $\\delta$ is the Kronecker delta function which equals one if the species thermochemistry parameter contains the particular source type and $d_{j}$ is the degeneracy (number of appearances) of the thermo group used to construct the species thermochemistry in the group additivity method.\n",
"\n",
"### Kinetics Uncertainty\n",
"\n",
@@ -132,13 +148,20 @@
"\n",
"$$\\Delta \\ln(k) = \\frac{1}{\\sqrt{12}}(\\ln k_{max} - \\ln k_{min})$$\n",
"\n",
- "The parameters used to formulate $\\Delta \\ln k$ are $\\Delta \\ln k_\\mathrm{library}$, $\\Delta \\ln k_\\mathrm{training}$, $\\Delta \\ln k_\\mathrm{pdep}$, $\\Delta \\ln k_\\mathrm{family}$, $\\Delta \\ln k_\\mathrm{non-exact}$, and $\\Delta \\ln k_\\mathrm{rule}$.\n",
+ "The sources used to formulate $ \\ln k$ are $ \\ln k_\\mathrm{library}$, $ \\ln k_\\mathrm{training}$, $ \\ln k_\\mathrm{pdep}$, $ \\ln k_\\mathrm{family}$, $ \\ln k_\\mathrm{non-exact}$, and $ \\ln k_\\mathrm{rule}$.\n",
+ "\n",
+ "For exact training data matches and library and pdep reactions, the kinetic uncertainty is assigned according to their uncertainty type. For kinetics estimated using RMG's decision trees, the following formula is used to calculate the uncertainty:\n",
+ "\n",
+ "$$ \\ln k_\\mathrm{rate\\; rules} = \\ln k_\\mathrm{family} + \\log_{10}(N+1) \\left(\\ln k_\\mathrm{non-exact}\\right) + \\sum_{\\mathrm{rule}\\; i} w_i \\ln k_{\\mathrm{rule},i}$$\n",
+ "\n",
+ "where N is the total number of rate rules or training reactions used and $w_{i}$ is the weight of the rate rule or training reaction in the averaging scheme for that kinetics estimate.\n",
"\n",
- "For library, training, and pdep reactions, the kinetic uncertainty is assigned according to their uncertainty type. For kinetics estimated using RMG's rate rules, the following formula is used to calculate the uncertainty:\n",
+ "Once again we use the property of adding variances with the assumption that sources are uncorrelated to each other. The standard deviation then adds in quadrature.\n",
"\n",
- "$$\\Delta \\ln k_\\mathrm{rate\\; rules} = \\Delta\\ln k_\\mathrm{family} + \\log_{10}(N+1) \\left(\\Delta\\ln k_\\mathrm{non-exact}\\right) + \\sum_{\\mathrm{rule}\\; i} w_i \\Delta \\ln k_{\\mathrm{rule},i}$$\n",
+ "$$\\Delta\\ln k_\\mathrm{rate\\; rules} = \\sqrt{(\\Delta \\ln k_\\mathrm{family})^2 + \\left(\\log_{10}(N+1) \\right)^2\\left(\\Delta \\ln k_\\mathrm{non-exact}\\right)^2 + \\sum_{\\mathrm{rule}\\; i} w_i^2 (\\Delta \\ln k_{\\mathrm{rule},i})^2}$$\n",
"\n",
- "where N is the total number of rate rules used and $w_{i}$ is the weight of the rate rule in the averaging scheme for that kinetics estimate. "
+ "\n",
+ "\n"
]
},
{
@@ -180,9 +203,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"result = uncertainty.local_analysis(sensitive_species, correlated=False, number=5, fileformat='.png')\n",
@@ -192,9 +213,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"# Show the uncertainty plots\n",
@@ -232,9 +251,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"uncertainty.assign_parameter_uncertainties(correlated=True)\n",
@@ -245,9 +262,7 @@
{
"cell_type": "code",
"execution_count": null,
- "metadata": {
- "scrolled": true
- },
+ "metadata": {},
"outputs": [],
"source": [
"# Show the uncertainty plots\n",
@@ -258,20 +273,13 @@
" print('{}: Reaction Uncertainty Contributions'.format(species))\n",
" display(Image(filename=os.path.join(uncertainty.output_directory, 'correlated', 'kineticsLocalUncertainty_{}.png'.format(species.to_chemkin()))))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -283,9 +291,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/mechanism_analyzer.ipynb b/ipython/mechanism_analyzer.ipynb
index f59f25aca60..1f37cad6d0d 100644
--- a/ipython/mechanism_analyzer.ipynb
+++ b/ipython/mechanism_analyzer.ipynb
@@ -62,7 +62,7 @@
"ckcsv_path= os.path.join(mech_path, 'CKSoln.ckcsv')\n",
"\n",
"model = CoreEdgeReactionModel()\n",
- "model.core.species, model.core.reactions = load_chemkin_file(chemkin_path, dictionary_path)"
+ "model.core.species, model.core.reactions = load_chemkin_file(chemkin_path, dictionary_path, use_chemkin_names = True)"
]
},
{
@@ -218,7 +218,7 @@
"source": [
"## [user input] Functionality 1: find most dominant species at the investigated time point\n",
"\n",
- "Pleae specify\n",
+ "Please specify\n",
"\n",
"- dominant_list: If you want to visualize the first top 10 dominant species, specify the list as [0, 9]. If you want to visualize from the 5th most dominant species to the 10th most dominant species, specify the list as [4, 9].\n"
]
@@ -820,20 +820,13 @@
"else:\n",
" print(\"TOTAL flux from h_abs and disp is {0:.3E} mole/cm3/s.\".format(total_flux))\n"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -845,9 +838,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/regression_test.ipynb b/ipython/regression_test.ipynb
index b04c798c078..89490d75ad8 100644
--- a/ipython/regression_test.ipynb
+++ b/ipython/regression_test.ipynb
@@ -20,7 +20,7 @@
"metadata": {},
"outputs": [],
"source": [
- "from rmgpy.tools.observablesRegression import ObservablesTestCase\n",
+ "from rmgpy.tools.observablesregression import ObservablesTestCase\n",
"from IPython.display import display, Image\n",
"from rmgpy.species import Species"
]
@@ -93,20 +93,13 @@
" print('Plotting condition {0} comparison for species {1}'.format(condition_index, species_label))\n",
" display(Image(filename=\"condition_{0}_species_{1}.png\".format(condition_index, species_label)))"
]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python [conda env:rmg_env]",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
- "name": "conda-env-rmg_env-py"
+ "name": "python3"
},
"language_info": {
"codemirror_mode": {
@@ -118,9 +111,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.4"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 1
+ "nbformat_minor": 4
}
diff --git a/ipython/surface_uncertainty.ipynb b/ipython/surface_uncertainty.ipynb
new file mode 100644
index 00000000000..ecf2cd9ca2a
--- /dev/null
+++ b/ipython/surface_uncertainty.ipynb
@@ -0,0 +1,800 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "7d2bb3df-3278-4514-bee1-dd6eea5af95f",
+ "metadata": {},
+ "source": [
+ "# First-order local uncertainty for a surface mechanism\n",
+ "\n",
+ "## With and without correlations through BEEF-vdW DFT ensemble\n",
+ "\n",
+ "\n",
+ "**Uncorrelated Analysis:**\n",
+ "\n",
+ "The uncorrelated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n",
+ "\n",
+ "$$(\\Delta \\ln c_i)^2 = \\sum_{\\mathrm{reactions}\\; m} \\left(\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}\\right)^2 (\\Delta \\ln k_m)^2 + \\sum_{\\mathrm{species}\\; n} \\left(\\frac{\\partial\\ln c_i}{\\partial G_n}\\right)^2(\\Delta G_n)^2$$\n",
+ "\n",
+ "We can get the derivatives $\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}$ and $\\frac{\\partial\\ln c_i}{\\partial G_n}$ through sensitivity analysis.\n",
+ "\n",
+ "We compute the input uncertainties $\\Delta G_n$ and $\\Delta \\ln k_m$ by looking up the parameter source and adding the uncertainty that corresponds to that method. See the local_uncertainty.ipynb example or [Gao CW, Liu M, Green WH. Uncertainty analysis of correlated parameters in automated reaction mechanism generation. International journal of chemical kinetics. 2020;52(4):266-282. doi:10.1002/kin.21348](https://onlinelibrary.wiley.com/doi/10.1002/kin.21348) for more information.\n",
+ "\n",
+ "\n",
+ "**Correlated Analysis:**\n",
+ "\n",
+ "The correlated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n",
+ "\n",
+ "$$(\\Delta \\ln x)^2 = \\sum_w \\sum_{w'} \\left(\\sum_m \\frac{\\partial \\ln x}{\\partial \\ln k_m} \\frac{\\partial \\ln k_m}{\\partial q_w} + \\sum_n \\frac{\\partial \\ln x}{\\partial G_n} \\frac{\\partial G_n}{\\partial q_w}\\right) \\Sigma_{ww'} \\left(\\sum_{m'} \\frac{\\partial \\ln x}{\\partial \\ln k_{m'}} \\frac{\\partial \\ln k_{m'}}{\\partial q_{w'}} + \\sum_{n'} \\frac{\\partial \\ln x}{\\partial G_{n'}} \\frac{\\partial G_{n'}}{\\partial q_{w'}}\\right)$$\n",
+ "\n",
+ "Here, we utilize underlying input parameters $q_w$ which may be correlated to each other. For example, species thermo libraries computed using BEEF-vdW have known correlations through the DFT ensemble.\n",
+ "\n",
+ "These covariances are computed and saved in the covariance matrix $\\Sigma_{ww'}$.\n",
+ "\n",
+ "The derivatives $\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}$ and $\\frac{\\partial\\ln c_i}{\\partial G_n}$ are computed through sensitivity analysis, same as the uncorrelated analysis. \n",
+ "\n",
+ "Finally, the derivatives $\\frac{\\partial\\ln k_m}{\\partial q_w}$ and $\\frac{\\partial\\ln G_n}{\\partial q_w}$ describe the weight of each underlying parameter's contribution to a particular species Gibbs energy or reaction rate, and these are tallied up by the uncertainty tool."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "5b47ba72-0654-448b-9d96-c27548983e07",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import os\n",
+ "import numpy as np\n",
+ "import subprocess\n",
+ "\n",
+ "from IPython.display import display, Image\n",
+ "\n",
+ "import rmgpy\n",
+ "from rmgpy.tools.uncertainty import Uncertainty, process_local_results\n",
+ "from rmgpy.tools.canteramodel import get_rmg_species_from_user_species\n",
+ "from rmgpy.species import Species\n",
+ "\n",
+ "import cantera as ct\n",
+ "\n",
+ "import logging\n",
+ "logging.basicConfig()\n",
+ "logging.getLogger().setLevel(logging.ERROR)\n",
+ "\n",
+ "import matplotlib.pyplot as plt\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "e08914e8-5036-4972-bd2d-7fdf17b7d95d",
+ "metadata": {},
+ "source": [
+ "## 1. Load the mechanism (CH4 + O2 over Pt111) and reactor settings"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "383d62bd-7926-4190-8968-bd25906c79fb",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# This is a mechanism of methane partial oxidation over Pt111\n",
+ "\n",
+ "# Must use annotated chemkin file\n",
+ "chemkin_file = 'data/cpox_methane/chem_annotated-gas.inp'\n",
+ "surface_chemkin_file = 'data/cpox_methane/chem_annotated-surface.inp'\n",
+ "dict_file = 'data/cpox_methane/species_dictionary.txt'\n",
+ "\n",
+ "# Initialize the Uncertainty class instance and load the model\n",
+ "uncertainty = Uncertainty(output_directory='./temp/surface_uncertainty')\n",
+ "uncertainty.load_model(chemkin_file, dict_file, surface_path=surface_chemkin_file)\n",
+ "\n",
+ "# Map the species to the objects within the Uncertainty class\n",
+ "methane = Species().from_smiles('C')\n",
+ "X = Species().from_smiles('*') # surface site\n",
+ "Ar = Species().from_smiles('[Ar]')\n",
+ "O2 = Species().from_smiles('[O][O]')\n",
+ "H2O = Species().from_smiles('O')\n",
+ "CO2 = Species().from_smiles('O=C=O')\n",
+ "mapping = get_rmg_species_from_user_species([methane, O2, H2O, CO2, Ar, X], uncertainty.species_list)\n",
+ "\n",
+ "# Define the reaction conditions\n",
+ "initial_mole_fractions = {mapping[methane]: 0.1, mapping[Ar]: 0.8, mapping[O2]: 0.1}\n",
+ "initial_surface_coverage = {mapping[X]: 1.0}\n",
+ "T = (800, 'K')\n",
+ "P = (1, 'atm')\n",
+ "termination_time = (1.0, 's')\n",
+ "surface_volume_ratio = (1e5, 'm^-1')\n",
+ "surface_site_density = (2.4830E-09, 'mol/(cm^2)')\n",
+ "\n",
+ "# Pick the species to do sensitivity analysis for (which output concentrations to analyze)\n",
+ "sensitive_species=[mapping[methane], mapping[CO2]]"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "357012e9-b724-4282-9d2f-4e5e91eccb30",
+ "metadata": {},
+ "source": [
+ "## 2. Run Sensitivity Analysis\n",
+ "This computes the derivatives $\\frac{\\partial \\ln c_i}{\\partial G_n}$ and $\\frac{\\partial \\ln c_i}{\\partial \\ln k_m}$ for every input species Gibbs energy $G_n$ and reaction rate $\\ln k_m$ in the mechanism with respect to each sensitive species concentration $c_i$\n",
+ "\n",
+ "These sensitivities will be used later to propagate the uncertain inputs through the model."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "id": "7af15bb1-17b6-4f8e-a779-a82647e25a4b",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# Perform the sensitivity analysis- this takes ~30 seconds\n",
+ "uncertainty.sensitivity_analysis(\n",
+ " initial_mole_fractions,\n",
+ " sensitive_species,\n",
+ " T,\n",
+ " P,\n",
+ " termination_time,\n",
+ " number=5,\n",
+ " fileformat='.png',\n",
+ " initial_surface_coverages=initial_surface_coverage,\n",
+ " surface_volume_ratio=surface_volume_ratio,\n",
+ " surface_site_density=surface_site_density,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "id": "e7cb29bd-95ba-441b-92b4-090625fb02fd",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CH4(2): Reaction Sensitivities\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CH4(2): Thermo Sensitivities\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CO2(4): Reaction Sensitivities\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "CO2(4): Thermo Sensitivities\n"
+ ]
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Show the sensitivity plots\n",
+ "for species in sensitive_species:\n",
+ " print('{}: Reaction Sensitivities'.format(species))\n",
+ " index = species.index\n",
+ " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_reactions.png'.format(index))))\n",
+ " \n",
+ " print('{}: Thermo Sensitivities'.format(species))\n",
+ " display(Image(filename=os.path.join(uncertainty.output_directory,'solver','sensitivity_1_SPC_{}_thermo.png'.format(index))))"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "210a41fb-3c40-4b70-ac93-2ef3f66182e1",
+ "metadata": {},
+ "source": [
+ "## 3. Assign (Uncorrelated) Parameter Uncertainties\n",
+ "\n",
+ "Here we look up the sources used to compute each parameter and assign a value for $\\Delta G_n$ or $\\Delta \\ln k_m$"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "5bb96967-24d9-4d6e-a190-500512edb1b0",
+ "metadata": {},
+ "source": [
+ "### Load the same database that's used in the RMG input file"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "id": "359ce9cc-9c60-49f0-9760-12a9da485acd",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "uncertainty.load_database(\n",
+ " thermo_libraries=['surfaceThermoPt111', 'primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC', 'DFT_QCI_thermo'],\n",
+ " kinetics_families=['default', 'surface'],\n",
+ " reaction_libraries=['Surface/CPOX_Pt/Deutschmann2006_adjusted', 'BurkeH2O2inArHe'],\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "142ce48b-80b6-4f02-b05b-956b32cd7bc7",
+ "metadata": {},
+ "source": [
+ "### Assign input parameter uncertainties according to their sources"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 6,
+ "id": "f639a69f-828d-499b-9047-041715a97060",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "# reset the correlated libraries/groups back to the uncorrelated defaults in case someone runs the cells out of order\n",
+ "uncertainty.thermo_covariance_libraries = None # default is None\n",
+ "uncertainty.thermo_covariance_groups = None # these are the defaults\n",
+ "\n",
+ "uncertainty.extract_sources_from_model()\n",
+ "uncertainty.assign_intermediate_uncertainties(correlated=False)\n",
+ "\n",
+ "# Save the covariance matrix for later comparison\n",
+ "uncorrelated_thermo_cov = uncertainty.get_thermo_covariance_matrix()\n",
+ "uncorrelated_kinetics_cov = uncertainty.get_kinetic_covariance_matrix()\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "667713de-0461-4c20-aaf8-ccd19a09d919",
+ "metadata": {},
+ "source": [
+ "## 4. Propagate the input uncertainties through the mechanism local analysis and show the resulting sensitivity index\n",
+ "\n",
+ "Use the first-order local uncertainty equation to get the overall variance in concentration:\n",
+ "$$(\\Delta \\ln c_i)^2 = \\sum_{\\mathrm{reactions}\\; m} \\left(\\frac{\\partial\\ln c_i}{\\partial\\ln k_m}\\right)^2 (\\Delta \\ln k_m)^2 + \\sum_{\\mathrm{species}\\; n} \\left(\\frac{\\partial\\ln c_i}{\\partial G_n}\\right)^2(\\Delta G_n)^2$$\n",
+ "\n",
+ "The Sensitivity Index shows the % an input parameter contributes to the overall variance of the output"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 7,
+ "id": "b5676863-89f9-48ca-9a45-04cd1aed9c2e",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "================================================================================\n",
+ "Total variance [(d ln(c))^2] for species CH4 is 1.088884\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 reaction rate contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "k111: H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 6.7096%\n",
+ "k53: COX(23)<=>X(1)+CO(7) 3.0785%\n",
+ "k61: X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.5577%\n",
+ "k86: OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 0.3885%\n",
+ "k90: H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 0.2365%\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 thermochemistry contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "dln[CH4(2)]/dG[H2OX(31)] 32.4971%\n",
+ "dln[CH4(2)]/dG[CHX(27)] 21.7944%\n",
+ "dln[CH4(2)]/dG[COX(23)] 14.4430%\n",
+ "dln[CH4(2)]/dG[H2X(29)] 7.1994%\n",
+ "dln[CH4(2)]/dG[H2(6)] 6.9510%\n",
+ "================================================================================\n",
+ "\n",
+ "================================================================================\n",
+ "Total variance [(d ln(c))^2] for species CO2 is 0.853717\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 reaction rate contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "k111: H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 5.8080%\n",
+ "k86: OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 1.8035%\n",
+ "k53: COX(23)<=>X(1)+CO(7) 1.6309%\n",
+ "k61: X(1)+H2OX(31)<=>HX(21)+OHX(30) 0.3117%\n",
+ "k90: H2OX(31)+CHX(27)<=>OHX(30)+CH2X(25) 0.2118%\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 thermochemistry contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "dln[CH4(2)]/dG[CH3X(26)] 29.2425%\n",
+ "dln[CH4(2)]/dG[HX(21)] 27.8291%\n",
+ "dln[CH4(2)]/dG[OHX(30)] 25.7592%\n",
+ "dln[CH4(2)]/dG[H2X(29)] 5.1266%\n",
+ "dln[CH4(2)]/dG[H2O(5)] 1.5958%\n",
+ "================================================================================\n",
+ "\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "result = uncertainty.local_analysis_intermediate(sensitive_species, correlated=False, number=10, fileformat='.png')\n",
+ "print(process_local_results(result, sensitive_species, number=5)[1])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "165c905f-2f26-4a12-a0b5-a854fe319a9d",
+ "metadata": {},
+ "source": [
+ "### Repeat for Correlated Uncertainties\n",
+ "\n",
+ "The next cell computes correlated uncertainties of the underlying parameters and saves them in $\\Sigma_{ww'}$\n",
+ "\n",
+ "It also computes the derivatives $\\frac{\\partial \\ln k_m}{\\partial q_w}$ and $\\frac{\\partial \\ln G_n}{\\partial q_w}$\n",
+ "\n",
+ "We use the same sensitivities computed in Step 2.\n",
+ "\n",
+ "Then the correlated first-order local variance $(\\Delta \\ln c_i)^2$, for the concentration of species $i$ is:\n",
+ "\n",
+ "$$(\\Delta \\ln c_i)^2 = \\sum_w \\sum_{w'} \\left(\\sum_m \\frac{\\partial \\ln c_i}{\\partial \\ln k_m} \\frac{\\partial \\ln k_m}{\\partial q_w} + \\sum_n \\frac{\\partial \\ln c_i}{\\partial G_n} \\frac{\\partial G_n}{\\partial q_w}\\right) \\Sigma_{ww'} \\left(\\sum_{m'} \\frac{\\partial \\ln c_i}{\\partial \\ln k_{m'}} \\frac{\\partial \\ln k_{m'}}{\\partial q_{w'}} + \\sum_{n'} \\frac{\\partial \\ln c_i}{\\partial G_{n'}} \\frac{\\partial G_{n'}}{\\partial q_{w'}}\\right)$$"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "e024e373-73d7-4d3c-b025-53bf39ab6314",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "uncertainty.thermo_covariance_libraries = [os.path.join(rmgpy.settings['database.directory'], 'thermo', 'uncertainty', 'surfaceThermoPt111')]\n",
+ "uncertainty.thermo_covariance_groups = [os.path.join(rmgpy.settings['database.directory'], 'thermo', 'uncertainty', 'adsorptionPt111')]\n",
+ "\n",
+ "uncertainty.extract_sources_from_model()\n",
+ "uncertainty.assign_intermediate_uncertainties(correlated=True)\n",
+ "\n",
+ "# Save the covariance matrix for later comparison\n",
+ "correlated_thermo_cov = uncertainty.get_thermo_covariance_matrix()\n",
+ "correlated_kinetics_cov = uncertainty.get_kinetic_covariance_matrix()\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "8df6b087-67ec-4f14-a2c6-7fa9686d6203",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "================================================================================\n",
+ "Total variance [(d ln(c))^2] for species CH4 is 0.455246\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 reaction rate contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 17.4362%\n",
+ "Surface_Library COX(23)<=>X(1)+CO(7) 7.3634%\n",
+ "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.9406%\n",
+ "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 1.7481%\n",
+ "Surface_Library X(1)+H2OX(31)<=>HX(21)+OHX(30) 1.3340%\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 thermochemistry contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "Surface_Library H2OX(31) 26.5770%\n",
+ "Library H2(6) 16.6257%\n",
+ "Surface_Library H2X(29) 8.3705%\n",
+ "Library CH4(2) 7.0503%\n",
+ "Library H2O(5) 5.0841%\n",
+ "================================================================================\n",
+ "\n",
+ "================================================================================\n",
+ "Total variance [(d ln(c))^2] for species CO2 is 0.233778\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 reaction rate contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "Surface Rate Rule Surface_Abstraction_vdW O-R;*=C=R 23.1685%\n",
+ "Surface Training Surface_Abstraction OHX(30)+CHX(27)<=>OX(24)+CH2X(25) 6.5861%\n",
+ "Surface_Library COX(23)<=>X(1)+CO(7) 5.9559%\n",
+ "Estimation Nonexact H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 2.5647%\n",
+ "Estimation Family H2OX(31)+CHX(27)<=>HX(21)+XCHOH(81) 2.3104%\n",
+ "--------------------------------------------------------------------------------\n",
+ "Top 5 thermochemistry contributors Sensitivity Index\n",
+ "--------------------------------------------------------------------------------\n",
+ "Surface_Library H2OX(31) 37.0740%\n",
+ "Surface_Library OHX(30) 13.7801%\n",
+ "Library H2O(5) 5.8278%\n",
+ "Library CO2(4) 0.6167%\n",
+ "Library CH4(2) 0.5189%\n",
+ "================================================================================\n",
+ "\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "result = uncertainty.local_analysis_intermediate(sensitive_species, correlated=True, number=10, fileformat='.png')\n",
+ "print(process_local_results(result, sensitive_species, number=5)[1])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "55cf9bdd-e6e0-473e-a66b-b4ee173c2dec",
+ "metadata": {},
+ "source": [
+ "# 5. Bonus: export covariance matrices\n",
+ "\n",
+ "### Here we compute the species covariance matrix $\\Sigma_G$ and the reaction covariance matrix $\\Sigma_{\\ln k}$. \n",
+ "\n",
+ "### These can be used for global uncertainty sampling studies outside of RMG (see 6)\n",
+ "\n",
+ "\n",
+ "For the uncorrelated covariance matrices on the left, only the diagonal values are non-zero.\n",
+ "The correlated analysis for the thermo on the right includes correlations through the BEEF-vdW ensemble and the reference species that are used to compute each species.\n",
+ "\n",
+ "The gas-phase species are listed first in the mechanism, and these have much lower uncertainty values than the surface-phase species because the DFT is more accurate for gas-phase species than for adsorbates"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "ff40668a-252f-446f-933f-10dac739a859",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0, 0.5, 'Species Index')"
+ ]
+ },
+ "execution_count": 10,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n",
+ "plt.subplots_adjust(wspace=0.3)\n",
+ "\n",
+ "# Uncorrelated Species Thermo Uncertainties\n",
+ "mat1 = axs[0].matshow(uncorrelated_thermo_cov)\n",
+ "axs[0].xaxis.set_ticks_position('bottom')\n",
+ "axs[0].xaxis.set_label_position('bottom')\n",
+ "cb1 = fig.colorbar(mat1, ax=axs[0], fraction=0.046, pad=0.04)\n",
+ "cb1.ax.set_title(' (kcal/mol)^2')\n",
+ "axs[0].set_title('Uncorrelated\\nThermo Covariance Matrix')\n",
+ "axs[0].set_xlabel('Species Index')\n",
+ "axs[0].set_ylabel('Species Index')\n",
+ "\n",
+ "# Correlated Species Thermo Uncertainties\n",
+ "mat2 = axs[1].matshow(correlated_thermo_cov)\n",
+ "axs[1].xaxis.set_ticks_position('bottom')\n",
+ "axs[1].xaxis.set_label_position('bottom')\n",
+ "cb2 = fig.colorbar(mat2, ax=axs[1], fraction=0.046, pad=0.04)\n",
+ "cb2.ax.set_title(' (kcal/mol)^2')\n",
+ "axs[1].set_title('Correlated\\nThermo Covariance Matrix')\n",
+ "axs[1].set_xlabel('Species Index')\n",
+ "axs[1].set_ylabel('Species Index')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "904957bf-ab1a-401f-bedc-74ecf104c012",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Text(0, 0.5, 'Reaction Index')"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "fig, axs = plt.subplots(1, 2, figsize=(10, 6))\n",
+ "plt.subplots_adjust(wspace=0.3)\n",
+ "\n",
+ "# Uncorrelated Species Thermo Uncertainties\n",
+ "mat1 = axs[0].matshow(uncorrelated_kinetics_cov)\n",
+ "axs[0].xaxis.set_ticks_position('bottom')\n",
+ "axs[0].xaxis.set_label_position('bottom')\n",
+ "cb1 = fig.colorbar(mat1, ax=axs[0], fraction=0.046, pad=0.04)\n",
+ "cb1.ax.set_title(' (ln k)^2')\n",
+ "axs[0].set_title('Uncorrelated\\nKinetics Covariance Matrix')\n",
+ "axs[0].set_xlabel('Reaction Index')\n",
+ "axs[0].set_ylabel('Reaction Index')\n",
+ "\n",
+ "# Correlated Species Thermo Uncertainties\n",
+ "mat2 = axs[1].matshow(correlated_kinetics_cov)\n",
+ "axs[1].xaxis.set_ticks_position('bottom')\n",
+ "axs[1].xaxis.set_label_position('bottom')\n",
+ "cb2 = fig.colorbar(mat2, ax=axs[1], fraction=0.046, pad=0.04)\n",
+ "cb2.ax.set_title(' (ln k)^2')\n",
+ "axs[1].set_title('Correlated\\nKinetics Covariance Matrix')\n",
+ "axs[1].set_xlabel('Reaction Index')\n",
+ "axs[1].set_ylabel('Reaction Index')\n"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "48427334-c28b-46b6-b3f9-34afa188f325",
+ "metadata": {},
+ "source": [
+ "# 6. Use covariance matrices to run global sampling study outside RMG\n",
+ "### Now that we have the input covariances, we can export our mechanism to other solvers like Cantera and sample accordingly\n",
+ "\n",
+ "Note that to keep the code simple, this example uses a well-mixed reactor with a reactive surface, but could be replaced by any of the Cantera examples, including the PFR code here https://cantera.org/dev/examples/python/reactors/surf_pfr_chain.html\n",
+ "\n",
+ "Note that the number of parameters should be reduced to only the most important before running a global sampling study (due to computational cost). This demo does not cover nearly enough samples for the distribution to converge and is only meant to show how the parameters could be sampled using a simulator external to RMG."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 12,
+ "id": "7ebf4947-aadc-4e33-9165-f13ba9d34f98",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/home/moon/miniforge3/envs/rmg_env/lib/python3.9/site-packages/cantera/ck2yaml.py:2346: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'C2H6(8) + 2 X(1) <=> HX(21) + XCH2CH3(54)'\n",
+ "at T = 10000.0\n",
+ "\n",
+ " phase = Interface(out_name, surf_name, [gas])\n"
+ ]
+ }
+ ],
+ "source": [
+ "## Build a simple CSTR surface reactor in Cantera\n",
+ "\n",
+ "# convert chemkin to cantera yaml\n",
+ "cantera_file = os.path.join(os.path.dirname(chemkin_file), 'chem_annotated.yaml')\n",
+ "result = subprocess.check_output(['ck2yaml', f'--input={chemkin_file}', f'--surface={surface_chemkin_file}', f'--output={cantera_file}'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 13,
+ "id": "958b37de-12d2-4283-88f5-0bf73deadc0c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/tmp/ipykernel_283727/1579794787.py:3: UserWarning: StickingRate::validate: \n",
+ "Sticking coefficient is greater than 1 for reaction 'C2H6(8) + 2 X(1) <=> HX(21) + XCH2CH3(54)'\n",
+ "at T = 10000.0\n",
+ "\n",
+ " surf = ct.Interface(cantera_file, \"SURF0\", [gas])\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "Text(0, 0.5, 'Mole Fraction (s)')"
+ ]
+ },
+ "execution_count": 13,
+ "metadata": {},
+ "output_type": "execute_result"
+ },
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "# Run simulation and plot nominal results\n",
+ "gas = ct.Solution(cantera_file)\n",
+ "surf = ct.Interface(cantera_file, \"SURF0\", [gas])\n",
+ "\n",
+ "# Initialize the reactor\n",
+ "gas.TPX = 600, ct.one_atm, 'CH4(2):1, O2(3):1.5, AR:0.1'\n",
+ "surf.TP = 600, ct.one_atm\n",
+ "\n",
+ "reactor = ct.IdealGasReactor(gas, energy='off')\n",
+ "upstream = ct.Reservoir(gas, name='upstream')\n",
+ "downstream = ct.Reservoir(gas, name='downstream')\n",
+ "rsurf = ct.ReactorSurface(surf, reactor, A=1e4)\n",
+ "\n",
+ "mass_flow_rate = 8e-8\n",
+ "m = ct.MassFlowController(upstream, reactor, mdot=mass_flow_rate)\n",
+ "v = ct.PressureController(reactor, downstream, primary=m, K=1e-5)\n",
+ "\n",
+ "sim = ct.ReactorNet([reactor])\n",
+ "\n",
+ "times = [0]\n",
+ "gas_concs = [gas.X]\n",
+ "while sim.time < 5e-4:\n",
+ " sim.step()\n",
+ " times.append(sim.time)\n",
+ " gas_concs.append(gas.X)\n",
+ "times = np.array(times)\n",
+ "gas_concs = np.array(gas_concs)\n",
+ "\n",
+ "# Plot the nominal values\n",
+ "colors = plt.rcParams['axes.prop_cycle'].by_key()['color']\n",
+ "plt.plot(times, gas_concs[:, gas.species_names.index('CH4(2)')], label='CH4', color=colors[0])\n",
+ "plt.plot(times, gas_concs[:, gas.species_names.index('O2(3)')], label='O2', color=colors[1])\n",
+ "plt.plot(times, gas_concs[:, gas.species_names.index('H2O(5)')], label='H2O', color=colors[2])\n",
+ "plt.plot(times, gas_concs[:, gas.species_names.index('CO2(4)')], label='CO2', color=colors[3])\n",
+ "\n",
+ "\n",
+ "# ---------------------------------- now sample according to the covariance matrix ------------------------------\n",
+ "\n",
+ "N_samples = 40\n",
+ "thermo_perturbations = np.random.multivariate_normal(mean=np.zeros(correlated_thermo_cov.shape[0]), cov=correlated_thermo_cov, size=N_samples)\n",
+ "thermo_perturbations *= 4184 # convert kcal/mol to J/mol\n",
+ "\n",
+ "kinetic_perturbations = np.random.multivariate_normal(mean=np.zeros(correlated_kinetics_cov.shape[0]), cov=correlated_kinetics_cov, size=N_samples)\n",
+ "kinetic_multipliers = np.exp(kinetic_perturbations) # convert from lnk to multiplier\n",
+ "\n",
+ "def perturb_species(species, DELTA_J_MOL=418.4):\n",
+ " # takes in a Cantera species and makes a copy with the enthalpy offset changed\n",
+ " R = 8.3144598 # gas constant in J/mol\n",
+ " increase = DELTA_J_MOL / R\n",
+ " # copy the species\n",
+ " input_data = species.input_data.copy()\n",
+ " for i in range(len(input_data['thermo']['data'])):\n",
+ " input_data['thermo']['data'][i][5] += increase\n",
+ " new_species = ct.Species().from_dict(input_data)\n",
+ " return new_species\n",
+ "\n",
+ "# make copies for faster reset\n",
+ "gas_thermo_copies = []\n",
+ "for i in range(gas.n_species):\n",
+ " gas_thermo_copies.append(ct.Species().from_dict(gas.species()[i].input_data.copy()))\n",
+ "surface_thermo_copies = []\n",
+ "for i in range(surf.n_species):\n",
+ " surface_thermo_copies.append(ct.Species().from_dict(surf.species()[i].input_data.copy()))\n",
+ "\n",
+ "for i in range(N_samples):\n",
+ " # perturb all the species according to samples using covariance matrix\n",
+ " for sp_index in range(gas.n_species):\n",
+ " perturbed_sp = perturb_species(gas_thermo_copies[sp_index], thermo_perturbations[i, sp_index])\n",
+ " gas.modify_species(sp_index, perturbed_sp)\n",
+ " for sp_index in range(surf.n_species):\n",
+ " perturbed_sp = perturb_species(surface_thermo_copies[sp_index], thermo_perturbations[i, gas.n_species + sp_index])\n",
+ " surf.modify_species(sp_index, perturbed_sp)\n",
+ "\n",
+ " # perturb all the reaction rates according to samples using covariance matrix\n",
+ " for rxn_index in range(gas.n_reactions):\n",
+ " gas.set_multiplier(kinetic_multipliers[i, rxn_index], rxn_index)\n",
+ " for rxn_index in range(surf.n_reactions):\n",
+ " surf.set_multiplier(kinetic_multipliers[i, gas.n_reactions + rxn_index], rxn_index)\n",
+ "\n",
+ " # rerun the simulation and plot the sampled results\n",
+ " gas.TPX = 600, ct.one_atm, 'CH4(2):1, O2(3):1.5, AR:0.1'\n",
+ " surf.TP = 600, ct.one_atm\n",
+ " \n",
+ " reactor = ct.IdealGasReactor(gas, energy='off')\n",
+ " upstream = ct.Reservoir(gas, name='upstream')\n",
+ " downstream = ct.Reservoir(gas, name='downstream')\n",
+ " rsurf = ct.ReactorSurface(surf, reactor, A=1e4)\n",
+ "\n",
+ " m = ct.MassFlowController(upstream, reactor, mdot=mass_flow_rate)\n",
+ " v = ct.PressureController(reactor, downstream, primary=m, K=1e-5)\n",
+ " sim = ct.ReactorNet([reactor])\n",
+ " \n",
+ " times_perturbed = [0]\n",
+ " gas_concs_perturbed = [gas.X]\n",
+ " while sim.time < 5e-4:\n",
+ " sim.step()\n",
+ " times_perturbed.append(sim.time)\n",
+ " gas_concs_perturbed.append(gas.X)\n",
+ " times_perturbed = np.array(times_perturbed)\n",
+ " gas_concs_perturbed = np.array(gas_concs_perturbed)\n",
+ "\n",
+ " if i > 0:\n",
+ " label = '_no_label'\n",
+ " else:\n",
+ " label = 'samples'\n",
+ " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('CH4(2)')], label='_no_label', color=colors[0], linewidth=0.2)\n",
+ " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('O2(3)')], label='_no_label', color=colors[1], linewidth=0.2)\n",
+ " plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('H2O(5)')], label=label, color=colors[2], linewidth=0.2)\n",
+ " # plt.plot(times_perturbed, gas_concs_perturbed[:, gas.species_names.index('CO2(4)')], label='_no_label', color=colors[3], linewidth=0.2)\n",
+ "\n",
+ " # Reset things\n",
+ " for sp_index in range(surf.n_species):\n",
+ " surf.modify_species(sp_index, surface_thermo_copies[sp_index])\n",
+ " for sp_index in range(gas.n_species):\n",
+ " gas.modify_species(sp_index, gas_thermo_copies[sp_index])\n",
+ " surf.set_multiplier(1.0)\n",
+ " gas.set_multiplier(1.0)\n",
+ "\n",
+ "plt.legend()\n",
+ "plt.title(f'Concentrations using nominal values and {N_samples} samples')\n",
+ "plt.xlabel('Time (s)')\n",
+ "plt.ylabel('Mole Fraction (s)')\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ff349fcd-9538-49ed-84a7-f799261441bc",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "language_info": {
+ "name": "python"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/ipython/temperature_dependent_solvation_free_energy.ipynb b/ipython/temperature_dependent_solvation_free_energy.ipynb
index 37a92b7e121..19cce4bca96 100644
--- a/ipython/temperature_dependent_solvation_free_energy.ipynb
+++ b/ipython/temperature_dependent_solvation_free_energy.ipynb
@@ -105,10 +105,10 @@
"solute_data = solvationDatabase.get_solute_data(solute)\n",
"solvent_data = solvationDatabase.get_solvent_data(solvent_name)\n",
"\n",
- "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2) and solvation free energy:\\n')\n",
+ "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2), solvation free energy, and Henry\\'s law constant:\\n')\n",
"for T in temperature:\n",
- " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T) # dGsolv is J/mol\n",
- " print(' At {0} K, K-factor = {1:.3f}, solvation free energy = {2:.2f} kJ/mol'.format(T, Kfactor, dGsolv/1000))"
+ " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T) # dGsolv is J/mol\n",
+ " print(f' At {T} K, K-factor = {Kfactor:.3f}, solvation free energy = {dGsolv/1000:.2f} kJ/mol, kH = {kH:.2f}')"
]
},
{
@@ -164,11 +164,11 @@
"solvent_data = solvationDatabase.get_solvent_data(solvent_name)\n",
"solvent_name_in_CoolProp = solvent_data.name_in_coolprop\n",
"\n",
- "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2) and solvation free energy:\\n')\n",
+ "print('Results are given in K-factor (VLE solute mole fraction ratio, y2/x2), solvation free energy, and Henry\\'s law constant:\\n')\n",
"for T in temperature:\n",
- " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_input_298(\n",
+ " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_input_298(\n",
" dGsolv298, dHsolv298, dSsolv298, solvent_name_in_CoolProp, T) # dGsolv is J/mol\n",
- " print(' At {0} K, K-factor = {1:.3f}, solvation free energy = {2:.2f} kJ/mol'.format(T, Kfactor, dGsolv/1000))"
+ " print(f' At {T} K, K-factor = {Kfactor:.3f}, solvation free energy = {dGsolv/1000:.2f} kJ/mol, kH = {kH:.2f}')"
]
},
{
@@ -198,14 +198,16 @@
"log_Kfactor_list = []\n",
"log_KfactorPsat_list = []\n",
"dGsolv_list = []\n",
+ "kH_list = []\n",
"\n",
"for T in temp_list:\n",
- " dGsolv, Kfactor = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)\n",
+ " dGsolv, Kfactor, kH = solvationDatabase.get_T_dep_solvation_energy_from_LSER_298(solute_data, solvent_data, T)\n",
" dGsolv = dGsolv / 1000 # convert to kJ/mol\n",
" Psat = PropsSI('P', 'T', T, 'Q', 0, solvent_data.name_in_coolprop) # saturation pressure of the solvent, in Pa\n",
" log_Kfactor_list.append(math.log(Kfactor))\n",
" log_KfactorPsat_list.append(math.log(Kfactor*Psat*1e-6)) # in ln(1/MPa)\n",
- " dGsolv_list.append(dGsolv)"
+ " dGsolv_list.append(dGsolv)\n",
+ " kH_list.append(kH)"
]
},
{
@@ -231,13 +233,19 @@
"plt.plot(temp_list, dGsolv_list)\n",
"plt.title('Solvation Gibbs Free Energy', fontsize=20)\n",
"ax.set_xlabel('Temperature (K)', fontsize = 16)\n",
- "ax.set_ylabel('Solvation Energy (kJ/mol)', fontsize = 16)\n"
+ "ax.set_ylabel('Solvation Energy (kJ/mol)', fontsize = 16)\n",
+ "\n",
+ "ax = fig.add_subplot(2, 2, 4)\n",
+ "plt.plot(temp_list, kH_list)\n",
+ "plt.title('Henry\\'s Law Constant', fontsize=20)\n",
+ "ax.set_xlabel('Temperature (K)', fontsize = 16)\n",
+ "ax.set_ylabel('$k_H$', fontsize = 16)\n"
]
}
],
"metadata": {
"kernelspec": {
- "display_name": "Python 3",
+ "display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
@@ -251,9 +259,9 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.7.10"
+ "version": "3.9.23"
}
},
"nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
}
diff --git a/rmg.py b/rmg.py
index 52e876dc9e8..f3f44b3f4cd 100644
--- a/rmg.py
+++ b/rmg.py
@@ -1,3 +1,32 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
from rmgpy import __main__
if __name__ == "__main__":
diff --git a/rmgpy/__init__.py b/rmgpy/__init__.py
index 387bf82d2fe..5e58c69b55d 100644
--- a/rmgpy/__init__.py
+++ b/rmgpy/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/__main__.py b/rmgpy/__main__.py
index 6127d761f80..f7536c797c1 100644
--- a/rmgpy/__main__.py
+++ b/rmgpy/__main__.py
@@ -1,10 +1,10 @@
-#!/usr/bin/env python
+#!/usr/bin/env python3
###############################################################################
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -62,11 +62,13 @@ def main():
kwargs = {
'restart': args.restart,
- 'walltime': args.walltime,
'maxproc': args.maxproc,
'kineticsdatastore': args.kineticsdatastore,
- 'max_iterations': args.maxiter,
}
+ if args.walltime is not None:
+ kwargs['walltime'] = args.walltime
+ if args.maxiter is not None:
+ kwargs['max_iterations'] = args.maxiter
if args.profile:
import cProfile
diff --git a/rmgpy/chemkin.pxd b/rmgpy/chemkin.pxd
index b90ef0ac279..bf6b027646b 100644
--- a/rmgpy/chemkin.pxd
+++ b/rmgpy/chemkin.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/chemkin.pyx b/rmgpy/chemkin.pyx
index 1f4323d311a..bcd0e8a2795 100644
--- a/rmgpy/chemkin.pyx
+++ b/rmgpy/chemkin.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -46,12 +46,12 @@ from rmgpy.data.kinetics.family import TemplateReaction
from rmgpy.data.kinetics.library import LibraryReaction
from rmgpy.exceptions import ChemkinError
from rmgpy.molecule.element import get_element
-from rmgpy.molecule.util import get_element_count
-from rmgpy.quantity import Quantity
+from rmgpy.quantity import Quantity, QuantityError
from rmgpy.reaction import Reaction
from rmgpy.rmg.pdep import PDepNetwork, PDepReaction
from rmgpy.species import Species
from rmgpy.thermo import NASAPolynomial, NASA
+from rmgpy.thermo.nasa cimport NASA, NASAPolynomial
from rmgpy.transport import TransportData
from rmgpy.util import make_output_subdirectory
@@ -397,7 +397,7 @@ def _read_kinetics_reaction(line, species_dict, Aunits, Aunits_surf, Eunits):
# this identifies reactions like 'H+H+M=H2+M' as opposed to 'H+H(+M)=H2(+M)' as identified above
third_body = True
elif reactant not in species_dict:
- raise ChemkinError('Unexpected reactant "{0}" in reaction {1}.'.format(reactant, reaction))
+ raise ChemkinError('Unexpected reactant "{0}" in reaction line {1}.'.format(reactant, line))
else:
reactant_species = species_dict[reactant]
if not reactant_species.reactive:
@@ -501,7 +501,7 @@ def _read_kinetics_line(line, reaction, species_dict, Eunits, kunits, klow_units
tokens = case_preserved_tokens[1].split()
cov_dep_species = species_dict[tokens[0].strip()]
Ea = Quantity(float(tokens[3]), Eunits)
- k.coverage_dependence[cov_dep_species] = {'a':float(tokens[1]), 'm':float(tokens[2]), 'E':Ea}
+ k.coverage_dependence[cov_dep_species] = {'a': Quantity(float(tokens[1])), 'm': Quantity(float(tokens[2])), 'E': Ea}
elif 'LOW' in line:
# Low-pressure-limit Arrhenius parameters
@@ -1180,8 +1180,8 @@ def read_species_block(f, species_dict, species_aliases, species_list):
tokens_upper = line.upper().split()
first_token = tokens.pop(0)
first_token = tokens_upper.pop(0) # pop from both lists
- assert first_token in ['SPECIES', 'SPEC', 'SITE'] # should be first token in first line
- # Build list of species identifiers
+ assert first_token.startswith('SPEC') or first_token.startswith('SITE'), f"'{line}' should begin with SPECIES or SITE statement."
+ # Build list of species identifiers
while 'END' not in tokens_upper:
line = f.readline()
# If the line contains only one species, and also contains
@@ -1206,6 +1206,8 @@ def read_species_block(f, species_dict, species_aliases, species_list):
token_upper = token.upper()
if token_upper in ['SPECIES', 'SPEC', 'SITE']:
continue # there may be more than one SPECIES statement
+ if re.match(r'^SITE/', token_upper):
+ continue # could be a named surface like SITE/SURF1/
if token_upper == 'END':
break
@@ -1248,9 +1250,9 @@ def read_thermo_block(f, species_dict):
meaningfulline, comment = remove_comment_from_line(line)
Tmin = Tint = Tmax = None
try:
- Tmin = float(meaningfulline[0:9].strip())
- Tint = float(meaningfulline[10:19].strip())
- Tmax = float(meaningfulline[20:29].strip())
+ Tmin = float(meaningfulline[0:10].strip())
+ Tint = float(meaningfulline[10:20].strip())
+ Tmax = float(meaningfulline[20:30].strip())
if [Tmin, Tint, Tmax] != [float(i) for i in meaningfulline.split()[0:3]]:
logging.warning("Default temperature range line {0!r} may be badly formatted.".format(line))
logging.warning("It should have Tmin in columns 1-10, Tmid in columns 11-20, and Tmax in columns 21-30")
@@ -1403,6 +1405,7 @@ def read_reactions_block(f, species_dict, read_comments=True):
'{0}^3/({1}*{2})'.format(volume_units, molecule_units, time_units), # Second-order
'{0}^6/({1}^2*{2})'.format(volume_units, molecule_units, time_units), # Third-order
'{0}^9/({1}^3*{2})'.format(volume_units, molecule_units, time_units), # Fourth-order
+ f"{volume_units}^12/({molecule_units}^4*{time_units})", # Fifth-order
]
Aunits_surf = [
@@ -1410,6 +1413,7 @@ def read_reactions_block(f, species_dict, read_comments=True):
's^-1'.format(time_units), # First-order
'{0}^2/({1}*{2})'.format(area_units, molecule_units, time_units), # Second-order
'{0}^4/({1}^2*{2})'.format(area_units, molecule_units, time_units), # Third-order
+ '{0}^6/({1}^3*{2})'.format(area_units, molecule_units, time_units), # Fourth-order
]
Eunits = energy_units
@@ -1479,10 +1483,13 @@ def read_reactions_block(f, species_dict, read_comments=True):
reaction = read_reaction_comments(reaction, comments, read=read_comments)
except ChemkinError as e:
if "Skip reaction!" in str(e):
- logging.warning("Skipping the reaction {0!r}".format(kinetics))
+ logging.warning("Skipping the reaction {0!r} because of {e!s}".format(kinetics))
continue
else:
raise
+ except QuantityError as e:
+ logging.warning(f"Skipping the reaction {kinetics!r} due to units error: {e}")
+ continue
reaction_list.append(reaction)
return reaction_list
@@ -1561,37 +1568,69 @@ def get_species_identifier(species):
################################################################################
-def write_thermo_entry(species, element_counts=None, verbose=True):
+def write_thermo_entry(species, element_counts=None, bint verbose=True):
"""
Return a string representation of the NASA model readable by Chemkin.
To use this method you must have exactly two NASA polynomials in your
model, and you must use the seven-coefficient forms for each.
"""
-
- thermo = species.get_thermo_data()
-
- if not isinstance(thermo, NASA):
+ cdef NASA thermo
+ cdef NASAPolynomial poly_low, poly_high
+ cdef dict counts
+ cdef list sorted_elements, elements, short_lines
+ cdef bint extended_syntax
+ cdef int count, isotope, charge, electrons
+ cdef str string, line, short_line, chemkin_name, symbol, elem_1, elem_2
+ cdef object thermo_data
+
+ thermo_data = species.get_thermo_data()
+
+ if not isinstance(thermo_data, NASA):
raise ChemkinError('Cannot generate Chemkin string for species "{0}": '
'Thermodynamics data must be a NASA object.'.format(species))
+ thermo = thermo_data
assert len(thermo.polynomials) == 2
- assert thermo.polynomials[0].Tmin.value_si < thermo.polynomials[1].Tmin.value_si
- assert thermo.polynomials[0].Tmax.value_si == thermo.polynomials[1].Tmin.value_si
- assert thermo.polynomials[0].cm2 == 0 and thermo.polynomials[0].cm1 == 0
- assert thermo.polynomials[1].cm2 == 0 and thermo.polynomials[1].cm1 == 0
+ poly_low = thermo.polynomials[0]
+ poly_high = thermo.polynomials[1]
+ assert poly_low.Tmin.value_si < poly_high.Tmin.value_si
+ assert poly_low.Tmax.value_si == poly_high.Tmin.value_si
+ assert poly_low.cm2 == 0 and poly_low.cm1 == 0
+ assert poly_high.cm2 == 0 and poly_high.cm1 == 0
# Determine the number of each type of element in the molecule
+ # Need to use the element's chemkin name, not the element symbol, because of isotopes.
+ # so we can't just use molecule[0].get_element_count().
if element_counts is None:
- element_counts = get_element_count(species.molecule[0])
+ counts = {}
+ for atom in species.molecule[0].vertices:
+ chemkin_name = atom.element.chemkin_name
+ counts[chemkin_name] = counts.get(chemkin_name, 0) + 1
+ else:
+ counts = dict(element_counts)
+ # Some callers pass element_counts keyed by element symbol 'e' rather than chemkin name 'E'
+ if 'e' in counts:
+ counts['E'] = counts.pop('e')
+ charge = species.molecule[0].get_net_charge()
+ if 'E' in counts:
+ electrons = counts['E']
+ if charge == 0 and electrons != 0:
+ logging.warning(f"Species {species} has {electrons} electrons but charge 0. "
+ f"Reporting {electrons} electrons in the Chemkin composition.")
+ elif charge != 0 and electrons != -charge:
+ logging.warning(f"Species {species} has {electrons} electrons but charge {charge}. "
+ f"Reporting {-charge} electrons in the Chemkin composition.")
+ if charge != 0:
+ counts['E'] = -charge
# Sort the element_counts dictionary so that it's C, H, Al, B, Cl, D, etc.
# if there's any C, else Al, B, Cl, D, H, if not. This is the "Hill" system
# done by Molecule.get_formula
- if 'C' in element_counts:
- sorted_elements = sorted(element_counts, key = lambda e: {'C':'0','H':'1'}.get(e, e))
+ if 'C' in counts:
+ sorted_elements = sorted(counts, key=lambda e: {'C': '0', 'H': '1'}.get(e, e))
else:
- sorted_elements = sorted(element_counts)
- element_counts = {e: element_counts[e] for e in sorted_elements}
+ sorted_elements = sorted(counts)
+ counts = {e: counts[e] for e in sorted_elements}
string = ''
# Write thermo comments
@@ -1606,14 +1645,9 @@ def write_thermo_entry(species, element_counts=None, verbose=True):
string += "! {0}\n".format(line)
# Compile element count string
- extended_syntax = len(element_counts) > 4 # If there are more than 4 elements, use extended syntax
+ extended_syntax = len(counts) > 4 # If there are more than 4 elements, use extended syntax
elements = []
- for key, count in element_counts.items():
- if isinstance(key, tuple):
- symbol, isotope = key
- chemkin_name = get_element(symbol, isotope=isotope).chemkin_name
- else:
- chemkin_name = key
+ for chemkin_name, count in counts.items():
if extended_syntax:
# Create a list of alternating elements and counts
elements.extend([chemkin_name, str(count)])
@@ -1638,31 +1672,31 @@ def write_thermo_entry(species, element_counts=None, verbose=True):
string += '{ident:<16} {elem_1:<20}G{Tmin:>10.3f}{Tint:>10.3f}{Tmax:>8.2f} 1{elem_2}\n'.format(
ident=get_species_identifier(species),
elem_1=elem_1,
- Tmin=thermo.polynomials[0].Tmin.value_si,
- Tint=thermo.polynomials[1].Tmax.value_si,
- Tmax=thermo.polynomials[0].Tmax.value_si,
+ Tmin=poly_low.Tmin.value_si,
+ Tint=poly_high.Tmax.value_si,
+ Tmax=poly_low.Tmax.value_si,
elem_2=elem_2,
)
# Line 2
- string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 2\n'.format(thermo.polynomials[1].c0,
- thermo.polynomials[1].c1,
- thermo.polynomials[1].c2,
- thermo.polynomials[1].c3,
- thermo.polynomials[1].c4)
+ string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 2\n'.format(poly_high.c0,
+ poly_high.c1,
+ poly_high.c2,
+ poly_high.c3,
+ poly_high.c4)
# Line 3
- string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 3\n'.format(thermo.polynomials[1].c5,
- thermo.polynomials[1].c6,
- thermo.polynomials[0].c0,
- thermo.polynomials[0].c1,
- thermo.polynomials[0].c2)
+ string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E}{4:< 15.8E} 3\n'.format(poly_high.c5,
+ poly_high.c6,
+ poly_low.c0,
+ poly_low.c1,
+ poly_low.c2)
# Line 4
- string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E} 4\n'.format(thermo.polynomials[0].c3,
- thermo.polynomials[0].c4,
- thermo.polynomials[0].c5,
- thermo.polynomials[0].c6)
+ string += '{0:< 15.8E}{1:< 15.8E}{2:< 15.8E}{3:< 15.8E} 4\n'.format(poly_low.c3,
+ poly_low.c4,
+ poly_low.c5,
+ poly_low.c6)
return string
@@ -1865,7 +1899,7 @@ def write_kinetics_entry(reaction, species_list, verbose=True, java_library=Fals
for species, cov_params in kinetics.coverage_dependence.items():
label = get_species_identifier(species)
string += f' COV / {label:<41} '
- string += f"{cov_params['a']:<9.3g} {cov_params['m']:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n"
+ string += f"{cov_params['a'].value_si:<9.3g} {cov_params['m'].value_si:<9.3g} {cov_params['E'].value_si/4184.:<9.3f} /\n"
if isinstance(kinetics, (_kinetics.ThirdBody, _kinetics.Lindemann, _kinetics.Troe)):
# Write collider efficiencies
@@ -2094,23 +2128,32 @@ def save_transport_file(path, species):
))
-def save_chemkin_file(path, species, reactions, verbose=True, check_for_duplicates=True):
+def save_chemkin_file(path, species, reactions, verbose=True, check_for_duplicates=True,
+ elements_in_use=None):
"""
Save a Chemkin input file to `path` on disk containing the provided lists
of `species` and `reactions`.
If check_for_duplicates is False then we don't check for unlabeled duplicate reactions,
thus saving time (eg. if you are sure you've already labeled them as duplicate).
+
+ ``elements_in_use`` is a set of :class:`Element` singletons used to write the
+ ELEMENTS section. If ``None``, it is computed from ``species`` via
+ :meth:`rmgpy.rmg.model.ReactionModel.get_elements`.
"""
# Check for duplicate
if check_for_duplicates:
mark_duplicate_reactions(reactions)
+ if elements_in_use is None:
+ from rmgpy.rmg.model import ReactionModel
+ elements_in_use = ReactionModel(species=species).get_elements()
+
f = open(path, 'w')
sorted_species = sorted(species, key=lambda species: species.index)
# Elements section
- write_elements_section(f)
+ write_elements_section(f, elements_in_use)
# Species section
f.write('SPECIES\n')
@@ -2168,7 +2211,7 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_
sorted_species = sorted(species, key=lambda species: species.index)
# Species section
- surface_name = None
+ surface_name = 'SURF0' # Some ck2yaml versions (Cantera 3.1) require a name.
if surface_name:
f.write('SITE/{}/'.format(surface_name))
else:
@@ -2191,7 +2234,7 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_
# Thermodynamics section
f.write('THERM ALL\n')
- f.write(' 300.000 1000.000 5000.000\n\n')
+ f.write(' 300.000 1000.000 5000.000\n\n')
for spec in sorted_species:
f.write(write_thermo_entry(spec, verbose=verbose))
f.write('\n')
@@ -2210,14 +2253,15 @@ def save_chemkin_surface_file(path, species, reactions, verbose=True, check_for_
_chemkin_reaction_count = None
-def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, transport_path=None,
+def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, transport_path=None,
save_edge_species=False):
"""
Save a Chemkin file for the current model as well as any desired output
- species and reactions to `path`. If `save_edge_species` is True, then
+ species and reactions to `path`. If `save_edge_species` is True, then
a chemkin file and dictionary file for the core AND edge species and reactions
will be saved. It also saves verbose versions of each file.
"""
+ from rmgpy.rmg.model import ReactionModel
if save_edge_species:
species_list = reaction_model.core.species + reaction_model.edge.species
rxn_list = reaction_model.core.reactions + reaction_model.edge.reactions
@@ -2225,6 +2269,9 @@ def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, trans
species_list = reaction_model.core.species + reaction_model.output_species_list
rxn_list = reaction_model.core.reactions + reaction_model.output_reaction_list
+ # Same elements list for all files (core and edge)
+ elements_in_use = ReactionModel(species=species_list).get_elements()
+
if any([s.contains_surface_site() for s in reaction_model.core.species]):
# it's a surface model
root, ext = os.path.splitext(path)
@@ -2251,29 +2298,34 @@ def save_chemkin(reaction_model, path, verbose_path, dictionary_path=None, trans
gas_rxn_list.append(r)
# We should already have marked everything as duplicates by now so use check_for_duplicates=False
- save_chemkin_file(gas_path, gas_species_list, gas_rxn_list, verbose=False, check_for_duplicates=False)
+ save_chemkin_file(gas_path, gas_species_list, gas_rxn_list, verbose=False,
+ check_for_duplicates=False, elements_in_use=elements_in_use)
save_chemkin_surface_file(surface_path, surface_species_list, surface_rxn_list, verbose=False,
check_for_duplicates=False, surface_site_density=reaction_model.surface_site_density)
logging.info('Saving annotated version of Chemkin files...')
- save_chemkin_file(gas_verbose_path, gas_species_list, gas_rxn_list, verbose=True, check_for_duplicates=False)
+ save_chemkin_file(gas_verbose_path, gas_species_list, gas_rxn_list, verbose=True,
+ check_for_duplicates=False, elements_in_use=elements_in_use)
save_chemkin_surface_file(surface_verbose_path, surface_species_list, surface_rxn_list, verbose=True,
check_for_duplicates=False, surface_site_density=reaction_model.surface_site_density)
else:
# Gas phase only
- save_chemkin_file(path, species_list, rxn_list, verbose=False, check_for_duplicates=False)
+ save_chemkin_file(path, species_list, rxn_list, verbose=False,
+ check_for_duplicates=False, elements_in_use=elements_in_use)
logging.info('Saving annotated version of Chemkin file...')
- save_chemkin_file(verbose_path, species_list, rxn_list, verbose=True, check_for_duplicates=False)
+ save_chemkin_file(verbose_path, species_list, rxn_list, verbose=True,
+ check_for_duplicates=False, elements_in_use=elements_in_use)
if dictionary_path:
save_species_dictionary(dictionary_path, species_list)
if transport_path:
save_transport_file(transport_path, species_list)
-def save_chemkin_files(rmg):
+def save_chemkin_files(rmg, config=None):
"""
Save the current reaction model to a set of Chemkin files.
"""
+ save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species
# todo: make this an attribute or method of reactionModel
is_surface_model = any([s.contains_surface_site() for s in rmg.reaction_model.core.species])
@@ -2308,7 +2360,7 @@ def save_chemkin_files(rmg):
os.unlink(latest_chemkin_path)
shutil.copy2(this_chemkin_path, latest_chemkin_path)
- if rmg.save_edge_species:
+ if save_edge:
logging.info('Saving current model core and edge to Chemkin file...')
this_chemkin_path = os.path.join(rmg.output_directory, 'chemkin',
'chem_edge{0:04d}.inp'.format(len(rmg.reaction_model.core.species)))
@@ -2317,7 +2369,7 @@ def save_chemkin_files(rmg):
latest_dictionary_path = os.path.join(rmg.output_directory, 'chemkin', 'species_edge_dictionary.txt')
latest_transport_path = None
save_chemkin(rmg.reaction_model, this_chemkin_path, latest_chemkin_verbose_path, latest_dictionary_path,
- latest_transport_path, rmg.save_edge_species)
+ latest_transport_path, save_edge)
if is_surface_model:
paths = []
@@ -2336,27 +2388,24 @@ def save_chemkin_files(rmg):
shutil.copy2(this_chemkin_path, latest_chemkin_path)
-def write_elements_section(f):
+def write_elements_section(f, elements_in_use):
"""
- Write the ELEMENTS section of the chemkin file. This file currently lists
- all elements and isotopes available in RMG. It may become useful in the future
- to only include elements/isotopes present in the current RMG run.
+ Write the ELEMENTS section of the chemkin file. Only elements present in
+ ``elements_in_use`` (a set of :class:`Element` singletons) are emitted. Isotopes
+ (D, T, CI, OI) and the surface site X are written only when actually used.
"""
-
+ from rmgpy.molecule.element import D, T, C13, O18, X
s = 'ELEMENTS\n'
-
- # map of isotope elements with chemkin-compatible element representation:
- elements = ('H', ('H', 2), ('H', 3), 'C', ('C', 13), 'O', ('O', 18), 'N', 'Ne', 'Ar', 'He', 'Si', 'S',
- 'F', 'Cl', 'Br', 'I')
- for el in elements:
- if isinstance(el, tuple):
- symbol, isotope = el
- chemkin_name = get_element(symbol, isotope=isotope).chemkin_name
- mass = 1000 * get_element(symbol, isotope=isotope).mass
- s += '\t{0} /{1:.3f}/\n'.format(chemkin_name, mass)
- else:
- s += '\t' + el + '\n'
- s += '\tX /195.083/\n'
+ custom_singletons = {D, T, C13, O18, X}
+ elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons)
+ for element in elements_list:
+ s += f'\t{element}\n'
+ for isotope in (D, T, C13, O18):
+ if isotope in elements_in_use:
+ mass = 1000 * isotope.mass
+ s += f'\t{isotope.chemkin_name} /{mass:.3f}/\n'
+ if X in elements_in_use:
+ s += '\tX /195.083/\n'
s += 'END\n\n'
f.write(s)
@@ -2384,9 +2433,14 @@ class ChemkinWriter(object):
rmg.detach(listener)
"""
- def __init__(self, output_directory=''):
+ def __init__(self, output_directory='', config=None):
super(ChemkinWriter, self).__init__()
+ self.config = config
make_output_subdirectory(output_directory, 'chemkin')
+ make_output_subdirectory(output_directory, 'cantera_from_ck')
def update(self, rmg):
- save_chemkin_files(rmg)
+ if self.config is not None and not self.config.should_write(
+ rmg.reaction_model.iteration_num, rmg.is_final_save):
+ return
+ save_chemkin_files(rmg, config=self.config)
diff --git a/rmgpy/constants.pxd b/rmgpy/constants.pxd
index 50edea8ad86..a95f995a7e3 100644
--- a/rmgpy/constants.pxd
+++ b/rmgpy/constants.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/constants.py b/rmgpy/constants.py
index 3b546d97d6b..1323d5815ac 100644
--- a/rmgpy/constants.py
+++ b/rmgpy/constants.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/constraints.py b/rmgpy/constraints.py
index d00d1ca43bf..9ab8f7f5ab7 100644
--- a/rmgpy/constraints.py
+++ b/rmgpy/constraints.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -31,6 +31,7 @@
from rmgpy.species import Species
+
def pass_cutting_threshold(species):
"""
Pass in either a `Species` or `Molecule` object and checks whether it passes
@@ -58,10 +59,12 @@ def pass_cutting_threshold(species):
return False
+
def fails_species_constraints(species):
"""
Pass in either a `Species` or `Molecule` object and checks whether it passes
- the speciesConstraints set by the user. If not, returns `True` for failing speciesConstraints.
+ the speciesConstraints set by the user. If the species fails constraints, returns
+ a string `reason` describing which constraint failed. If all constraints pass, returns `False`.
"""
from rmgpy.rmg.input import get_input
@@ -86,57 +89,63 @@ def fails_species_constraints(species):
max_carbon_atoms = species_constraints.get('maximumCarbonAtoms', -1)
if max_carbon_atoms != -1:
if struct.get_num_atoms('C') > max_carbon_atoms:
- return True
+ return f"Exceeded maximumCarbonAtoms: {struct.get_num_atoms('C')} > {max_carbon_atoms}"
max_oxygen_atoms = species_constraints.get('maximumOxygenAtoms', -1)
if max_oxygen_atoms != -1:
if struct.get_num_atoms('O') > max_oxygen_atoms:
- return True
+ return f"Exceeded maximumOxygenAtoms: {struct.get_num_atoms('O')} > {max_oxygen_atoms}"
max_nitrogen_atoms = species_constraints.get('maximumNitrogenAtoms', -1)
if max_nitrogen_atoms != -1:
if struct.get_num_atoms('N') > max_nitrogen_atoms:
- return True
+ return f"Exceeded maximumNitrogenAtoms: {struct.get_num_atoms('N')} > {max_nitrogen_atoms}"
max_silicon_atoms = species_constraints.get('maximumSiliconAtoms', -1)
if max_silicon_atoms != -1:
if struct.get_num_atoms('Si') > max_silicon_atoms:
- return True
+ return f"Exceeded maximumSiliconAtoms: {struct.get_num_atoms('Si')} > {max_silicon_atoms}"
max_sulfur_atoms = species_constraints.get('maximumSulfurAtoms', -1)
if max_sulfur_atoms != -1:
if struct.get_num_atoms('S') > max_sulfur_atoms:
- return True
+ return f"Exceeded maximumSulfurAtoms: {struct.get_num_atoms('S')} > {max_sulfur_atoms}"
max_heavy_atoms = species_constraints.get('maximumHeavyAtoms', -1)
if max_heavy_atoms != -1:
- if struct.get_num_atoms() - struct.get_num_atoms('H') > max_heavy_atoms:
- return True
+ if struct.get_num_heavy_atoms() > max_heavy_atoms:
+ return f"Exceeded maximumHeavyAtoms: {struct.get_num_heavy_atoms()} > {max_heavy_atoms}"
max_surface_sites = species_constraints.get('maximumSurfaceSites', -1)
if max_surface_sites != -1:
if struct.get_num_atoms('X') > max_surface_sites:
- return True
+ return f"Exceeded maximumSurfaceSites: {struct.get_num_atoms('X')} > {max_surface_sites}"
max_surface_bond_order = species_constraints.get('maximumSurfaceBondOrder', -1)
if max_surface_bond_order != -1:
for site in struct.get_surface_sites():
if site.get_total_bond_order() > max_surface_bond_order:
- return True
+ return f"Exceeded maximumSurfaceBondOrder at site: {site.get_total_bond_order()} > {max_surface_bond_order}"
max_radicals = species_constraints.get('maximumRadicalElectrons', -1)
if max_radicals != -1:
if struct.get_radical_count() > max_radicals:
- return True
+ return f"Exceeded maximumRadicalElectrons: {struct.get_radical_count()} > {max_radicals}"
max_carbenes = species_constraints.get('maximumSingletCarbenes', 1)
- if max_radicals != -1:
+ if max_carbenes != -1:
if struct.get_singlet_carbene_count() > max_carbenes:
- return True
+ return f"Exceeded maximumSingletCarbenes: {struct.get_singlet_carbene_count()} > {max_carbenes}"
max_carbene_radicals = species_constraints.get('maximumCarbeneRadicals', 0)
if max_carbene_radicals != -1:
if struct.get_singlet_carbene_count() > 0 and struct.get_radical_count() > max_carbene_radicals:
- return True
+ return f"Exceeded maximumCarbeneRadicals: {struct.get_radical_count()} > {max_carbene_radicals}"
+
+ max_fused_ring_system_size = species_constraints.get('maximumFusedRingSystemSize', -1)
+ if max_fused_ring_system_size != -1 and struct.is_cyclic():
+ if struct.get_ring_count_in_largest_fused_ring_system() > max_fused_ring_system_size:
+ return (f"Exceeded maximumFusedRingSystemSize: {struct.get_ring_count_in_largest_fused_ring_system()} > "
+ f"{max_fused_ring_system_size}")
return False
diff --git a/rmgpy/data/__init__.py b/rmgpy/data/__init__.py
index e56a2151cea..718d54092e3 100644
--- a/rmgpy/data/__init__.py
+++ b/rmgpy/data/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/auto_database.py b/rmgpy/data/auto_database.py
new file mode 100644
index 00000000000..c052ca57f62
--- /dev/null
+++ b/rmgpy/data/auto_database.py
@@ -0,0 +1,603 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+Automated kinetics library, kinetics family, thermo library and transport library selection for RMG
+based on the chemistry detected in the input species and reactor conditions.
+"""
+
+import logging
+import os
+from dataclasses import dataclass, field
+from enum import Enum
+from typing import Any, List, Optional, Set, Tuple, Union
+
+import yaml
+
+from rmgpy.exceptions import InputError
+from rmgpy.solver.liquid import LiquidReactor
+from rmgpy.solver.surface import SurfaceReactor
+
+try:
+ from rmgpy.rmg.reactionmechanismsimulator_reactors import (
+ ConstantTLiquidSurfaceReactor as RMSLiqSurf,
+ ConstantTVLiquidReactor as RMSLiq,
+ )
+except ImportError:
+ RMSLiqSurf = None
+ RMSLiq = None
+
+# Values used in input files to request auto-selection
+AUTO = 'auto'
+PAH_LIBS = ''
+
+# Temperature threshold (in K) above which CH pyrolysis libraries are included
+CH_PYROLYSIS_T_THRESHOLD = 800.0
+
+# Elements that trigger the halogens chemistry set
+HALOGEN_ELEMENTS = {'F', 'Cl', 'Br', 'I'}
+# Elements that trigger the metal/electrochem chemistry set (currently only Li)
+ELECTROCHEM_ELEMENTS = {'Li'}
+
+
+class ChemistrySet(str, Enum):
+ """Named chemistry sets defined in recommended_libraries.yml."""
+ PRIMARY = 'primary'
+ NITROGEN = 'nitrogen'
+ SULFUR = 'sulfur'
+ OXIDATION = 'oxidation'
+ CH_PYROLYSIS_CORE = 'CH_pyrolysis_core'
+ PAH_FORMATION = 'PAH_formation'
+ LIQUID_OXIDATION = 'liquid_oxidation'
+ SURFACE = 'surface'
+ SURFACE_NITROGEN = 'surface_nitrogen'
+ HALOGENS = 'halogens'
+ ELECTROCHEM = 'electrochem'
+
+
+class FamilySet(str, Enum):
+ """Named kinetics family sets defined in recommended.py."""
+ DEFAULT = 'default'
+ CH_PYROLYSIS = 'ch_pyrolysis'
+ LIQUID_PEROXIDE = 'liquid_peroxide'
+ SURFACE = 'surface'
+ HALOGENS = 'halogens'
+ ELECTROCHEM = 'electrochem'
+
+
+@dataclass
+class ChemistryProfile:
+ """Detected chemistry characteristics from initial species and reactor conditions."""
+ elements_present: Set[str] = field(default_factory=set)
+ has_nitrogen: bool = False
+ has_sulfur: bool = False
+ has_oxygen: bool = False
+ has_carbon: bool = False
+ has_halogens: bool = False
+ has_electrochem: bool = False
+ has_surface: bool = False
+ has_liquid: bool = False
+ max_temperature: float = 0.0
+
+
+def detect_chemistry(initial_species: list,
+ reaction_systems: list,
+ solvent: Optional[str],
+ ) -> ChemistryProfile:
+ """
+ Analyze initial species and reactor conditions to build a ChemistryProfile.
+
+ Args:
+ initial_species: list of Species objects from the RMG input.
+ reaction_systems: list of reactor system objects.
+ solvent: solvent name string, or None for gas phase.
+
+ Returns:
+ ChemistryProfile with detected characteristics.
+ """
+ profile = ChemistryProfile()
+
+ for spc in initial_species:
+ if not spc.reactive:
+ continue
+ mol = spc.molecule[0]
+ element_counts = mol.get_element_count()
+ profile.elements_present.update(element_counts.keys())
+ if mol.is_surface_site() or 'X' in element_counts:
+ profile.has_surface = True
+
+ profile.has_nitrogen = 'N' in profile.elements_present
+ profile.has_sulfur = 'S' in profile.elements_present
+ profile.has_oxygen = 'O' in profile.elements_present
+ profile.has_carbon = 'C' in profile.elements_present
+ profile.has_halogens = bool(profile.elements_present & HALOGEN_ELEMENTS) # bool(set intersection)
+ profile.has_electrochem = bool(profile.elements_present & ELECTROCHEM_ELEMENTS)
+
+ for reactor in reaction_systems:
+ if isinstance(reactor, LiquidReactor):
+ profile.has_liquid = True
+ if isinstance(reactor, SurfaceReactor):
+ profile.has_surface = True
+ # RMS reactor types (may not be installed)
+ if RMSLiq is not None:
+ if isinstance(reactor, (RMSLiq, RMSLiqSurf)):
+ profile.has_liquid = True
+ if isinstance(reactor, RMSLiqSurf):
+ profile.has_surface = True
+
+ T = _get_reactor_max_temperature(reactor)
+ if T is not None and T > profile.max_temperature:
+ profile.max_temperature = T
+
+ if solvent is not None:
+ profile.has_liquid = True
+
+ return profile
+
+
+def _get_reactor_max_temperature(reactor: Any) -> Optional[float]:
+ """
+ Extract the maximum temperature (in K) from a reactor system.
+ Handles both single-value and range temperature specifications.
+
+ Returns:
+ float temperature in K, or None if it cannot be determined.
+ """
+ T = getattr(reactor, 'T', None)
+ if T is not None:
+ if isinstance(T, list):
+ return max(t.value_si for t in T)
+ return T.value_si
+
+ # SimpleReactor stores Trange when a temperature range is given
+ Trange = getattr(reactor, 'Trange', None)
+ if Trange is not None and isinstance(Trange, list) and len(Trange) > 0:
+ return max(t.value_si for t in Trange)
+
+ # RMS reactors store T in initial_conditions
+ ic = getattr(reactor, 'initial_conditions', None)
+ if ic is not None and isinstance(ic, dict):
+ if 'T' in ic:
+ return float(ic['T'])
+ # Nested dict for liquid-surface reactors
+ for phase_key in ('liquid', 'gas', 'Default'):
+ if isinstance(ic.get(phase_key), dict) and 'T' in ic[phase_key]:
+ return float(ic[phase_key]['T'])
+
+ return None
+
+
+def _has_pah_libs_keyword(rmg: Any) -> bool:
+ """Check whether the user included the keyword in any library field."""
+ for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms', 'transport_libraries'):
+ val = getattr(rmg, attr, None)
+ if isinstance(val, list):
+ for item in val:
+ name = item[0] if isinstance(item, tuple) else item
+ if name == PAH_LIBS:
+ return True
+ return False
+
+
+def determine_chemistry_sets(profile: ChemistryProfile,
+ pah_libs_requested: bool = False,
+ ) -> List[ChemistrySet]:
+ """
+ Determine which chemistry sets to activate based on the detected profile.
+
+ CH pyrolysis logic:
+ - CH_pyrolysis_core is always added when C present AND T >= 800 K.
+ - PAH_formation is added when:
+ (a) C + T >= 800 K + no O in species (pure C/H pyrolysis), OR
+ (b) C + T >= 800 K + keyword requested by user.
+
+ Args:
+ profile: ChemistryProfile instance.
+ pah_libs_requested: bool, True if user included keyword.
+
+ Returns:
+ List of ChemistrySet values in priority order.
+ """
+ sets = [ChemistrySet.PRIMARY]
+
+ if profile.has_nitrogen:
+ sets.append(ChemistrySet.NITROGEN)
+
+ if profile.has_sulfur:
+ sets.append(ChemistrySet.SULFUR)
+
+ if profile.has_oxygen:
+ sets.append(ChemistrySet.OXIDATION)
+
+ high_T_carbon = profile.has_carbon and profile.max_temperature >= CH_PYROLYSIS_T_THRESHOLD
+
+ if high_T_carbon:
+ sets.append(ChemistrySet.CH_PYROLYSIS_CORE)
+
+ if not profile.has_oxygen or pah_libs_requested:
+ sets.append(ChemistrySet.PAH_FORMATION)
+
+ if profile.has_liquid and profile.has_oxygen:
+ sets.append(ChemistrySet.LIQUID_OXIDATION)
+
+ if profile.has_surface:
+ sets.append(ChemistrySet.SURFACE)
+
+ if profile.has_surface and profile.has_nitrogen:
+ sets.append(ChemistrySet.SURFACE_NITROGEN)
+
+ if profile.has_halogens:
+ sets.append(ChemistrySet.HALOGENS)
+
+ if profile.has_electrochem:
+ sets.append(ChemistrySet.ELECTROCHEM)
+
+ return sets
+
+
+def determine_kinetics_families(profile: ChemistryProfile) -> List[FamilySet]:
+ """
+ Determine which kinetics family sets to activate based on the detected profile.
+
+ These correspond to named sets in RMG-database/input/kinetics/families/recommended.py.
+
+ Args:
+ profile: ChemistryProfile instance.
+
+ Returns:
+ List of FamilySet values to combine.
+ """
+ family_sets = [FamilySet.DEFAULT]
+
+ if profile.has_carbon and profile.max_temperature >= CH_PYROLYSIS_T_THRESHOLD:
+ family_sets.append(FamilySet.CH_PYROLYSIS)
+
+ if profile.has_liquid and profile.has_oxygen:
+ family_sets.append(FamilySet.LIQUID_PEROXIDE)
+
+ if profile.has_surface:
+ family_sets.append(FamilySet.SURFACE)
+
+ if profile.has_halogens:
+ family_sets.append(FamilySet.HALOGENS)
+
+ if profile.has_electrochem:
+ family_sets.append(FamilySet.ELECTROCHEM)
+
+ return family_sets
+
+
+def load_recommended_yml(database_directory: str) -> dict:
+ """
+ Load the recommended_libraries.yml file from the RMG database.
+
+ Args:
+ database_directory: path to the RMG database 'input' directory.
+
+ Returns:
+ dict parsed from YAML.
+ """
+ yml_path = os.path.join(database_directory, 'recommended_libraries.yml')
+ if not os.path.isfile(yml_path):
+ raise InputError(f"Could not find recommended_libraries.yml at {yml_path}. "
+ f"This file is required for 'auto' library selection.")
+ with open(yml_path, 'r') as f:
+ return yaml.safe_load(f)
+
+
+def expand_chemistry_sets(recommended_data: dict,
+ set_names: List[Union[ChemistrySet, str]],
+ ) -> Tuple[List[str], List[str], List[str], List[str]]:
+ """
+ Expand named chemistry sets into concrete library lists.
+
+ Args:
+ recommended_data: dict from recommended_libraries.yml.
+ set_names: list of chemistry set names to expand.
+
+ Returns:
+ Tuple of (thermo_libraries, kinetics_libraries, transport_libraries, seed_libraries)
+ where each is a list of library name strings.
+ """
+ # Primary must always be expanded first so its libraries have highest priority.
+ # Use == which works for both enum members and plain strings (str,Enum == 'value' is True).
+ has_primary = any(s == ChemistrySet.PRIMARY for s in set_names)
+ other_sets = [s for s in set_names if s != ChemistrySet.PRIMARY]
+ set_names = ([ChemistrySet.PRIMARY] if has_primary else []) + other_sets
+
+ thermo, kinetics, transport, seed = [], [], [], []
+
+ for set_name in set_names:
+ if set_name not in recommended_data:
+ raise InputError(f"Chemistry set '{set_name}' not found in recommended_libraries.yml. "
+ f"Available sets: {list(recommended_data.keys())}")
+ set_data = recommended_data[set_name]
+
+ for entry in set_data.get('thermo', []):
+ name = entry if isinstance(entry, str) else entry['name']
+ if name not in thermo:
+ thermo.append(name)
+
+ for entry in set_data.get('kinetics', []):
+ if isinstance(entry, str):
+ if entry not in kinetics:
+ kinetics.append(entry)
+ elif isinstance(entry, dict):
+ name = entry['name']
+ if entry.get('seed', False):
+ if name not in seed:
+ seed.append(name)
+ else:
+ if name not in kinetics:
+ kinetics.append(name)
+
+ for entry in set_data.get('transport', []):
+ name = entry if isinstance(entry, str) else entry['name']
+ if name not in transport:
+ transport.append(name)
+
+ return thermo, kinetics, transport, seed
+
+
+def merge_with_user_libraries(user_spec: Any, auto_libs: List[str]) -> Union[List[str], None]:
+ """
+ Merge user-specified libraries with auto-selected libraries,
+ respecting the position of the 'auto' token. tokens
+ are silently removed (they've already been used as a signal).
+
+ Args:
+ user_spec: the user's library specification. Can be:
+ - 'auto' (string): fully replace with auto_libs
+ - list containing 'auto' token: replace token in-place with auto_libs
+ - list without 'auto': return as-is (with stripped)
+ - None or []: return as-is
+ auto_libs: list of auto-selected library names.
+
+ Returns:
+ Resolved list of library names.
+ """
+ if user_spec == AUTO:
+ return list(auto_libs)
+
+ if not isinstance(user_spec, list):
+ return user_spec
+
+ # Collect all user-specified library names (excluding special tokens)
+ user_lib_names = set()
+ for item in user_spec:
+ if item not in (AUTO, PAH_LIBS):
+ name = item[0] if isinstance(item, tuple) else item
+ user_lib_names.add(name)
+
+ # Filter auto libs to exclude any already specified by user
+ filtered_auto = [lib for lib in auto_libs if lib not in user_lib_names]
+
+ # Replace tokens in-place
+ result = []
+ for item in user_spec:
+ if item == AUTO:
+ result.extend(filtered_auto)
+ elif item == PAH_LIBS:
+ continue
+ else:
+ result.append(item)
+
+ return result
+
+
+def to_reaction_library_tuples(reaction_libraries: List[str],
+ output_edge: set,
+ ) -> List[Tuple[str, bool]]:
+ """
+ Convert a plain list of reaction library names back to (name, bool) tuples.
+
+ The bool indicates whether unused edge reactions from this library should
+ be appended to the chemkin output file.
+
+ Args:
+ reaction_libraries: list of library name strings.
+ output_edge: set of library names that had the True option.
+
+ Returns:
+ List of (name, bool) tuples.
+ """
+ return [(name, name in output_edge) for name in reaction_libraries]
+
+
+def resolve_auto_kinetics_families(family_set_names: List[Union[FamilySet, str]],
+ database_directory: str,
+ ) -> List[str]:
+ """
+ Resolve 'auto' kinetics families by combining the named sets from recommended.py.
+
+ Reads the recommended.py file from the database and combines all requested sets
+ into a single list of family names.
+
+ Args:
+ family_set_names: list of family set names (e.g., ['default', 'surface']).
+ database_directory: path to the RMG database root.
+
+ Returns:
+ List of family name strings.
+ """
+ recommended_path = os.path.join(database_directory, 'kinetics', 'families', 'recommended.py')
+ if not os.path.isfile(recommended_path):
+ raise InputError(f"Could not find recommended.py at {recommended_path}. "
+ f"This file is required for 'auto' kinetics families selection.")
+
+ # Execute the recommended.py file to get the family sets.
+ # Use restricted globals (no builtins) since this file should only define plain sets.
+ local_context = {}
+ with open(recommended_path, 'r') as f:
+ exec(f.read(), {'__builtins__': {}}, local_context)
+
+ combined = []
+ for set_name in family_set_names:
+ if set_name not in local_context:
+ raise InputError(f"Kinetics family set '{set_name}' not found in recommended.py. "
+ f"Available sets: {[k for k in local_context if not k.startswith('_')]}")
+ family_set = local_context[set_name]
+ for family in family_set:
+ if family not in combined:
+ combined.append(family)
+
+ return combined
+
+
+def _log_lib_list(label: str, libs: Optional[list], width: int = 80) -> None:
+ """Log a library list with wrapping so lines stay under `width` chars."""
+ if libs is None:
+ libs = []
+ indent = ' '
+ header = f' {label} ({len(libs)}): '
+ if not libs:
+ logging.info(f'{header}(none)')
+ return
+ lines = [header]
+ current_line = indent
+ for i, name in enumerate(libs):
+ entry = name if i == 0 else f', {name}'
+ if len(current_line) + len(entry) > width and current_line != indent:
+ lines.append(current_line)
+ current_line = indent + name
+ else:
+ current_line += entry
+ lines.append(current_line)
+ logging.info('\n'.join(lines))
+
+
+def auto_select_libraries(rmg):
+ """
+ Main entry point for auto library selection.
+
+ Inspects the RMG object's initial_species, reaction_systems, and solvent
+ to detect the chemistry, then resolves any 'auto' tokens in the library
+ specifications.
+
+ Modifies the rmg object in-place.
+
+ Args:
+ rmg: the RMG job object with populated initial_species, reaction_systems, etc.
+ """
+ # Check if any field uses 'auto' or ''
+ has_special = False
+ for attr in ('thermo_libraries', 'reaction_libraries', 'seed_mechanisms', 'transport_libraries', 'kinetics_families'):
+ val = getattr(rmg, attr, None)
+ if val in (AUTO, PAH_LIBS):
+ has_special = True
+ break
+ if isinstance(val, list):
+ for item in val:
+ name = item[0] if isinstance(item, tuple) else item
+ if name in (AUTO, PAH_LIBS):
+ has_special = True
+ break
+ if has_special:
+ break
+
+ if not has_special:
+ return
+
+ # Check for keyword before we strip it
+ pah_libs_requested = _has_pah_libs_keyword(rmg)
+
+ # Detect chemistry
+ profile = detect_chemistry(rmg.initial_species, rmg.reaction_systems, rmg.solvent)
+
+ # Build a compact fingerprint of what we detected
+ flags = []
+ for symbol in sorted(profile.elements_present):
+ flags.append(symbol)
+ tags = []
+ if profile.has_surface:
+ tags.append('surface')
+ if profile.has_liquid:
+ tags.append('liquid')
+ if pah_libs_requested:
+ tags.append('PAH_libs')
+ phase_str = f' | {", ".join(tags)}' if tags else ''
+ fingerprint = f'[{"/".join(flags)}] T_max={profile.max_temperature:.0f} K{phase_str}'
+
+ logging.info('')
+ logging.info('~' * 80)
+ logging.info(f' Auto-selecting libraries for: {fingerprint}')
+ logging.info('~' * 80)
+
+ # Determine chemistry sets
+ set_names = determine_chemistry_sets(profile, pah_libs_requested)
+ logging.info(f' Chemistry sets triggered: {", ".join(s.value for s in set_names)}')
+
+ # Load and expand recommended_libraries.yml
+ recommended_data = load_recommended_yml(rmg.database_directory)
+ auto_thermo, auto_kinetics, auto_transport, auto_seeds = expand_chemistry_sets(
+ recommended_data, set_names
+ )
+
+ # Resolve each library field
+ rmg.thermo_libraries = merge_with_user_libraries(rmg.thermo_libraries, auto_thermo)
+ rmg.reaction_libraries = merge_with_user_libraries(rmg.reaction_libraries, auto_kinetics)
+ rmg.seed_mechanisms = merge_with_user_libraries(rmg.seed_mechanisms, auto_seeds)
+ rmg.transport_libraries = merge_with_user_libraries(rmg.transport_libraries, auto_transport)
+
+ _log_lib_list('Thermo libraries', rmg.thermo_libraries)
+ _log_lib_list('Reaction libraries', rmg.reaction_libraries)
+ _log_lib_list('Seed mechanisms', rmg.seed_mechanisms)
+ _log_lib_list('Transport libraries', rmg.transport_libraries)
+
+ # Resolve kinetics families
+ needs_auto_families = (
+ rmg.kinetics_families == AUTO
+ or (isinstance(rmg.kinetics_families, list) and AUTO in rmg.kinetics_families)
+ )
+ if needs_auto_families:
+ family_set_names = determine_kinetics_families(profile)
+ auto_families = resolve_auto_kinetics_families(
+ family_set_names, rmg.database_directory
+ )
+ logging.info(f' Kinetics family sets: {", ".join(s.value for s in family_set_names)}')
+
+ if rmg.kinetics_families == AUTO:
+ rmg.kinetics_families = auto_families
+ else:
+ # List with 'auto' + possible !exclusions and explicit additions
+ exclusions = {item[1:] for item in rmg.kinetics_families
+ if isinstance(item, str) and item.startswith('!')}
+ additions = [item for item in rmg.kinetics_families
+ if isinstance(item, str) and item != AUTO and not item.startswith('!')]
+ rmg.kinetics_families = [f for f in auto_families if f not in exclusions]
+ for fam in additions:
+ if fam not in rmg.kinetics_families:
+ rmg.kinetics_families.append(fam)
+ if exclusions:
+ logging.info(f' Families excluded by user: {", ".join(sorted(exclusions))}')
+
+ _log_lib_list('Kinetics families', rmg.kinetics_families)
+
+ logging.info('~' * 80)
+ logging.info('')
diff --git a/rmgpy/data/base.py b/rmgpy/data/base.py
index e6d0bc249eb..ba94671e982 100644
--- a/rmgpy/data/base.py
+++ b/rmgpy/data/base.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/kinetics/__init__.py b/rmgpy/data/kinetics/__init__.py
index a862407bcbf..9a282fc99c3 100644
--- a/rmgpy/data/kinetics/__init__.py
+++ b/rmgpy/data/kinetics/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/kinetics/common.py b/rmgpy/data/kinetics/common.py
index 78b6712f29c..7929fc90adb 100644
--- a/rmgpy/data/kinetics/common.py
+++ b/rmgpy/data/kinetics/common.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -195,28 +195,29 @@ def ensure_independent_atom_ids(input_species, resonance=True):
"""
ensure_species(input_species) # do not generate resonance structures since we do so below
- # Method to check that all species' atom ids are different
- def independent_ids():
- num_atoms = 0
- ids = []
- for spcs in input_species:
- num_atoms += len(spcs.molecule[0].atoms)
- ids.extend([atom.id for atom in spcs.molecule[0].atoms])
- num_id = len(set(ids))
- return num_id == num_atoms
-
- # If they are not all different, reassign ids and remake resonance structures
- if not independent_ids():
+ # Inline check that all atom IDs across all species' first molecule are unique.
+ # Building a list then converting to set is faster than incremental set.add()
+ # because set(list) has a vectorized C path.
+ ids = []
+ for spcs in input_species:
+ atoms = spcs.molecule[0].atoms
+ ids.extend([atom.id for atom in atoms])
+
+ if len(set(ids)) != len(ids):
+ # Collision: reassign IDs and remake resonance structures
for species in input_species:
- unreactive_mol_list = [mol for mol in species.molecule if not mol.reactive]
- mol = [mol for mol in species.molecule if mol.reactive][0] # Choose first reactive molecule
+ reactive_mols = []
+ unreactive_mols = []
+ for m in species.molecule:
+ (reactive_mols if m.reactive else unreactive_mols).append(m)
+ mol = reactive_mols[0] # Choose first reactive molecule
mol.assign_atom_ids()
species.molecule = [mol]
# Remake resonance structures with new labels
if resonance:
species.generate_resonance_structures(keep_isomorphic=True)
- if len(unreactive_mol_list):
- species.molecule.extend(unreactive_mol_list)
+ if unreactive_mols:
+ species.molecule.extend(unreactive_mols)
elif resonance:
# IDs are already independent, generate resonance structures if needed
for species in input_species:
diff --git a/rmgpy/data/kinetics/database.py b/rmgpy/data/kinetics/database.py
index 02edef5e8a5..372dfdeaea4 100644
--- a/rmgpy/data/kinetics/database.py
+++ b/rmgpy/data/kinetics/database.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -138,11 +138,15 @@ def load_recommended_families(self, filepath):
Both styles can be loaded by this method.
"""
- import imp
+ import importlib
# Load the recommended.py file as a module
try:
- rec = imp.load_source('rec', filepath)
+ # https://docs.python.org/3/whatsnew/3.12.html#imp
+ loader = importlib.machinery.SourceFileLoader('rec', filepath)
+ spec = importlib.util.spec_from_file_location('rec', filepath, loader=loader)
+ rec = importlib.util.module_from_spec(spec)
+ loader.exec_module(rec)
except Exception as e:
raise DatabaseError('Unable to load recommended.py file for kinetics families: {0!s}'.format(e))
diff --git a/rmgpy/data/kinetics/depository.py b/rmgpy/data/kinetics/depository.py
index d537e959598..f2b82fbf6fb 100644
--- a/rmgpy/data/kinetics/depository.py
+++ b/rmgpy/data/kinetics/depository.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py
index 102c5f13ff5..3728b9c94e7 100644
--- a/rmgpy/data/kinetics/family.py
+++ b/rmgpy/data/kinetics/family.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -43,6 +43,7 @@
from copy import deepcopy
import numpy as np
+from scipy.optimize import OptimizeWarning
from sklearn.model_selection import KFold
from rmgpy import settings
@@ -1654,8 +1655,12 @@ def _generate_product_structures(self, reactant_structures, maps, forward, relab
for struct in product_structures:
if self.is_molecule_forbidden(struct):
raise ForbiddenStructureException()
- if fails_species_constraints(struct):
- raise ForbiddenStructureException()
+ if (reason := fails_species_constraints(struct)):
+ raise ForbiddenStructureException(
+ "Species constraints forbids product species {0}. Please "
+ "reformulate constraints, or explicitly "
+ "allow it. Reason: {1}".format(struct, reason)
+ )
return product_structures
@@ -1670,11 +1675,17 @@ def is_molecule_forbidden(self, molecule):
return True
# forbid vdw multi-dentate molecules for surface families
- if "surface" in self.label.lower():
- if molecule.get_num_atoms('X') > 1:
- for atom in molecule.atoms:
- if atom.atomtype.label == 'Xv':
- return True
+ if "surface" in self.label.lower() and molecule.is_multidentate():
+ if "vdwbidentate" in self.label.lower():
+ # Within vdWBidentate families, allow vdW in
+ # multi-dentate molecules if at least one bond to the surface
+ # is covalent.
+ if not molecule.has_covalent_surface_bond():
+ return True
+ else:
+ # for all other families, forbid multi-dentate molecules with any vdW bonds
+ if molecule.has_vdw_surface_bond():
+ return True
return False
@@ -2702,7 +2713,8 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms=
template_reactants = [x.item for x in template.reactants]
else:
template_reactants = [x.item for x in template.reactants]
-
+ if (num_reactants := len(reactants0)) != (num_template := len(template_reactants)):
+ raise ValueError(f"Reaction has {num_reactants} reactants but template has {num_template} reactants.")
if len(reactants0) == 1:
molecule = reactants0[0]
mappings = self._match_reactant_to_template(molecule, template_reactants[0])
@@ -2738,7 +2750,7 @@ def get_labeled_reactants_and_products(self, reactants, products, relabel_atoms=
reactant_structures = [molecule_a, molecule_b, molecule_c]
num_mappings = len(mappings_a) * len(mappings_b) * len(mappings_c)
else:
- raise IndexError('You have {0} reactants, which is unexpected!'.format(len(reactants)))
+ raise ValueError('You have {0} reactants, which is unexpected!'.format(len(reactants)))
for mapping in mappings:
try:
@@ -3287,7 +3299,7 @@ def generate_tree(self, rxns=None, obj=None, thermo_database=None, T=1000.0, npr
template_rxn_map = self.get_reaction_matches(rxns=rxns, thermo_database=thermo_database, remove_degeneracy=True,
fix_labels=True, exact_matches_only=True, get_reverse=True)
self.make_tree_nodes(template_rxn_map=template_rxn_map, obj=obj, T=T, nprocs=nprocs - 1, depth=0,
- min_splitable_entry_num=min_splitable_entry_num, min_rxns_to_spawn=min_rxns_to_spawn,extension_iter_max=extension_iter_max)
+ min_splitable_entry_num=min_splitable_entry_num, min_rxns_to_spawn=min_rxns_to_spawn,extension_iter_max=extension_iter_max, extension_iter_item_cap=extension_iter_item_cap)
else:
def rxnkey(rxn):
c = 0
@@ -3673,19 +3685,22 @@ def cross_validate(self, folds=5, template_rxn_map=None, test_rxn_inds=None, T=1
uncertainties[rxn] = self.rules.entries[entry.label][0].data.uncertainty
-
L = list(set(template_rxn_map[entry.label]) - set(rxns_test))
if L != []:
if isinstance(L[0].kinetics, Arrhenius):
kinetics = ArrheniusBM().fit_to_reactions(L, recipe=self.forward_recipe.actions)
- if kinetics.E0.value_si < 0.0 or len(L) == 1:
+ # These conditions (eg. n>5) for rejecting the BM fit should correspond
+ # to those in _marke_rule, and those just below:
+ if len(L) == 1 or kinetics.E0.value_si < 0.0 or abs(kinetics.n.value_si) > 5.0:
kinetics = average_kinetics([r.kinetics for r in L])
else:
kinetics = kinetics.to_arrhenius(rxn.get_enthalpy_of_reaction(298.))
else:
kinetics = ArrheniusChargeTransferBM().fit_to_reactions(L, recipe=self.forward_recipe.actions)
- if kinetics.E0.value_si < 0.0 or len(L) == 1:
+ # These conditions (eg. n>5) for rejecting the BM fit should correspond
+ # to those in _marke_rule, and those just above:
+ if len(L) == 1 or kinetics.E0.value_si < 0.0 or abs(kinetics.n.value_si) > 5.0:
kinetics = average_kinetics([r.kinetics for r in L])
else:
kinetics = kinetics.to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(298.))
@@ -4432,8 +4447,9 @@ def extract_source_from_comments(self, reaction):
[Family_Label, {'template': originalTemplate,
'degeneracy': degeneracy,
'exact': boolean_exact?,
- 'rules': a list of (original rate rule entry, weight in average)
- 'training': a list of (original rate rule entry associated with training entry, original training entry, weight in average)}]
+ 'rules': a list of (original rate rule entry, weight in average),
+ 'training': a list of (original rate rule entry associated with training entry, original training entry, weight in average),
+ 'autogenerated': boolean for whether kinetics come from autogenerated subgraph isomorphic decision tree}]
where Exact is a boolean of whether the rate is an exact match, Template is
@@ -4447,6 +4463,7 @@ def extract_source_from_comments(self, reaction):
rules = None
training_entries = None
degeneracy = 1
+ autogenerated = False
training_reaction_pattern = r'Matched reaction\s*(\d+).*in.*training'
degeneracy_pattern = r'Multiplied by reaction path degeneracy\s*(\d+)'
@@ -4486,7 +4503,9 @@ def extract_source_from_comments(self, reaction):
autogen_node_matches = re.search(autogen_node_search_pattern, full_comment_string)
template_matches = re.search(template_pattern, full_comment_string)
if autogen_node_matches is not None: # autogenerated trees
+ autogenerated = True
template_str = autogen_node_matches.group(1).split('Multiplied by reaction path degeneracy')[0].strip()
+ template_str = template_str.split('in family')[0].strip()
tokens = template_str.split()
if len(tokens) == 2: # The node was probably split because wordwrap was turned off
assert len(template_str) > 115, 'The node name is too short to have been broken up by the chemkin writer'
@@ -4501,7 +4520,7 @@ def extract_source_from_comments(self, reaction):
raise ValueError(f'Could not find rate rule in comments for reaction {reaction}.')
rules, training_entries = self.get_sources_for_template(template)
source_dict = {'template': template, 'degeneracy': degeneracy, 'exact': exact_rule,
- 'rules': rules, 'training': training_entries}
+ 'rules': rules, 'training': training_entries, 'autogenerated': autogenerated}
# Source of the kinetics is from rate rules
return False, [self.label, source_dict]
@@ -4590,79 +4609,15 @@ def _make_rule(rr):
for i, rxn in enumerate(rxns):
rxn.rank = ranks[i]
rxns = np.array(rxns)
- rs = np.array([r for r in rxns if type(r.kinetics) != KineticsModel])
+ rs = np.array([r for r in rxns if type(r.kinetics) is not KineticsModel]) # KineticsModel is the base class with no data.
n = len(rs)
- if n > 0 and isinstance(rs[0].kinetics, Marcus):
+ if n == 0:
+ return None
+
+ if isinstance(rs[0].kinetics, Marcus):
kin = average_kinetics([r.kinetics for r in rs])
return kin
data_mean = np.mean(np.log([r.kinetics.get_rate_coefficient(Tref) for r in rs]))
- if n > 0:
- if isinstance(rs[0].kinetics, Arrhenius):
- arr = ArrheniusBM
- else:
- arr = ArrheniusChargeTransferBM
- if n > 1:
- kin = arr().fit_to_reactions(rs, recipe=recipe)
- if n == 1 or kin.E0.value_si < 0.0:
- kin = average_kinetics([r.kinetics for r in rs])
- #kin.comment = "Only one reaction or Arrhenius BM fit bad. Instead averaged from {} reactions.".format(n)
- if n == 1:
- kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
- else:
- dlnks = np.array([
- np.log(
- average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
- ) for i, rxn in enumerate(rs)
- ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2
- # weighted average calculations
- ws = 1.0 / varis
- V1 = ws.sum()
- V2 = (ws ** 2).sum()
- mu = np.dot(ws, dlnks) / V1
- s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1))
- kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label)
- else:
- if n == 1:
- kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
- else:
- if isinstance(rs[0].kinetics, Arrhenius):
- dlnks = np.array([
- np.log(
- arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe)
- .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref))
- .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
- ) for i, rxn in enumerate(rs)
- ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- else:
- dlnks = np.array([
- np.log(
- arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe)
- .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(Tref))
- .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
- ) for i, rxn in enumerate(rs)
- ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2
- # weighted average calculations
- ws = 1.0 / varis
- V1 = ws.sum()
- V2 = (ws ** 2).sum()
- mu = np.dot(ws, dlnks) / V1
- s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1))
- kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label)
-
- #site solute parameters
- site_datas = [get_site_solute_data(rxn) for rxn in rxns]
- site_datas = [sdata for sdata in site_datas if sdata is not None]
- if len(site_datas) > 0:
- site_data = SoluteTSData()
- for sdata in site_datas:
- site_data += sdata
- site_data = site_data * (1.0/len(site_datas))
- kin.solute = site_data
- return kin
- else:
- return None
if isinstance(rs[0].kinetics, Arrhenius):
arr = ArrheniusBM
@@ -4670,20 +4625,30 @@ def _make_rule(rr):
arr = ArrheniusChargeTransferBM
if n > 1:
kin = arr().fit_to_reactions(rs, recipe=recipe)
- if n == 1 or kin.E0.value_si < 0.0:
+
+ # If you update the following conditions, also update the cross_validate function.
+ if n == 1 or kin.E0.value_si < 0.0 or abs(kin.n.value_si) > 5.0:
+ if n > 1: #we have an ArrheniusBM
+ if kin.E0.value_si < 0.0:
+ reason = "E0<0"
+ elif abs(kin.n.value_si) > 5.0:
+ reason = "abs(n)>5"
+ else:
+ reason = "?"
+
# still run it through the averaging function when n=1 to standardize the units and run checks
kin = average_kinetics([r.kinetics for r in rs])
+
if n == 1:
kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
- kin.comment = f"Only one reaction rate: {rs[0]!s}"
else:
- kin.comment = f"Blowers-Masel fit was bad (E0<0) so instead averaged from {n} reactions."
+ kin.comment = f"Blowers-Masel fit was bad ({reason}) so instead averaged from {n} reactions."
dlnks = np.array([
np.log(
- average_kinetics([r.kinetics for r in rs[list(set(range(len(rs))) - {i})]]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
+ average_kinetics([r.kinetics for r in np.delete(rs, i)]).get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
) for i, rxn in enumerate(rs)
]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2
+ varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * constants.R * Tref)) ** 2
# weighted average calculations
ws = 1.0 / varis
V1 = ws.sum()
@@ -4691,32 +4656,42 @@ def _make_rule(rr):
mu = np.dot(ws, dlnks) / V1
s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1))
kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label)
- else: # Blowers-Masel fit was good
- if isinstance(rs[0].kinetics, Arrhenius):
- dlnks = np.array([
- np.log(
- arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe)
- .to_arrhenius(rxn.get_enthalpy_of_reaction(298.))
- .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
- ) for i, rxn in enumerate(rs)
- ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- else: # SurfaceChargeTransfer or ArrheniusChargeTransfer
- dlnks = np.array([
- np.log(
- arr().fit_to_reactions(rs[list(set(range(len(rs))) - {i})], recipe=recipe)
- .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(298.))
- .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
- ) for i, rxn in enumerate(rs)
- ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
- varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * 8.314 * Tref)) ** 2
- # weighted average calculations
- ws = 1.0 / varis
- V1 = ws.sum()
- V2 = (ws ** 2).sum()
- mu = np.dot(ws, dlnks) / V1
- s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1))
- kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label)
-
+ else:
+ if n == 1:
+ kin.uncertainty = RateUncertainty(mu=0.0, var=(np.log(fmax) / 2.0) ** 2, N=1, Tref=Tref, data_mean=data_mean, correlation=label)
+ else:
+ if isinstance(rs[0].kinetics, Arrhenius):
+ with warnings.catch_warnings():
+ # Jackknife refits use sparse samples and only consume fitted rates, not covariance estimates.
+ warnings.filterwarnings(
+ "ignore",
+ message="Covariance of the parameters could not be estimated",
+ category=OptimizeWarning,
+ )
+ dlnks = np.array([
+ np.log(
+ arr().fit_to_reactions(np.delete(rs, i), recipe=recipe)
+ .to_arrhenius(rxn.get_enthalpy_of_reaction(Tref))
+ .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
+ ) for i, rxn in enumerate(rs)
+ ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
+ else:
+ dlnks = np.array([
+ np.log(
+ arr().fit_to_reactions(np.delete(rs, i), recipe=recipe)
+ .to_arrhenius_charge_transfer(rxn.get_enthalpy_of_reaction(Tref))
+ .get_rate_coefficient(T=Tref) / rxn.get_rate_coefficient(T=Tref)
+ ) for i, rxn in enumerate(rs)
+ ]) # 1) fit to set of reactions without the current reaction (k) 2) compute log(kfit/kactual) at Tref
+ varis = (np.array([rank_accuracy_map[rxn.rank].value_si for rxn in rs]) / (2.0 * constants.R * Tref)) ** 2
+ # weighted average calculations
+ ws = 1.0 / varis
+ V1 = ws.sum()
+ V2 = (ws ** 2).sum()
+ mu = np.dot(ws, dlnks) / V1
+ s = np.sqrt(np.dot(ws, (dlnks - mu) ** 2) / (V1 - V2 / V1))
+ kin.uncertainty = RateUncertainty(mu=mu, var=s ** 2, N=n, Tref=Tref, data_mean=data_mean, correlation=label)
+
#site solute parameters
site_datas = [get_site_solute_data(rxn) for rxn in rxns]
site_datas = [sdata for sdata in site_datas if sdata is not None]
@@ -4728,6 +4703,8 @@ def _make_rule(rr):
kin.solute = site_data
return kin
+
+
def _spawn_tree_process(family, template_rxn_map, obj, T, nprocs, depth, min_splitable_entry_num, min_rxns_to_spawn, extension_iter_max, extension_iter_item_cap):
parent_conn, child_conn = mp.Pipe()
name = list(template_rxn_map.keys())[0]
@@ -4829,7 +4806,7 @@ def average_kinetics(kinetics_list):
beta=(beta,"1/m"),
wr=(wr * 0.001, "kJ/mol"),
wp=(wp * 0.001, "kJ/mol"),
- comment="Averaged from {} reactions.".format(len(kinetics_list)),
+ comment=f"Averaged from {len(kinetics_list)} rate expressions.",
)
elif isinstance(kinetics, SurfaceChargeTransfer):
averaged_kinetics = SurfaceChargeTransfer(
@@ -4839,6 +4816,7 @@ def average_kinetics(kinetics_list):
alpha=alpha,
V0=(V0,'V'),
Ea=(Ea * 0.001, "kJ/mol"),
+ comment=f"Averaged from {len(kinetics_list)} rate expressions.",
)
elif isinstance(kinetics, ArrheniusChargeTransfer):
averaged_kinetics = ArrheniusChargeTransfer(
@@ -4848,6 +4826,7 @@ def average_kinetics(kinetics_list):
alpha=alpha,
V0=(V0,'V'),
Ea=(Ea * 0.001, "kJ/mol"),
+ comment=f"Averaged from {len(kinetics_list)} rate expressions.",
)
else:
averaged_kinetics = Arrhenius(
diff --git a/rmgpy/data/kinetics/groups.py b/rmgpy/data/kinetics/groups.py
index 256d50d4a45..30308ccd1ec 100644
--- a/rmgpy/data/kinetics/groups.py
+++ b/rmgpy/data/kinetics/groups.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/kinetics/library.py b/rmgpy/data/kinetics/library.py
index 63f8929e167..cd4d1c5206d 100644
--- a/rmgpy/data/kinetics/library.py
+++ b/rmgpy/data/kinetics/library.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/kinetics/rules.py b/rmgpy/data/kinetics/rules.py
index d20a4a6ce4f..6d80fa78355 100644
--- a/rmgpy/data/kinetics/rules.py
+++ b/rmgpy/data/kinetics/rules.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -367,20 +367,18 @@ def estimate_kinetics(self, template, degeneracy=1):
kinetics = deepcopy(entry.data)
if entry0 == entry:
- kinetics.comment = "Estimated from node {}".format(entry.label)
+ kinetics.comment = f"Estimated from node {entry.label} in family {self.label.replace('/rules','')}."
kinetics.A.value_si *= degeneracy
if degeneracy > 1:
- kinetics.comment += "\n"
- kinetics.comment += "Multiplied by reaction path degeneracy {0}".format(degeneracy)
- return kinetics,entry
+ kinetics.comment += f"\nMultiplied by reaction path degeneracy {degeneracy}"
+ return kinetics, entry
else:
- kinetics.comment = "Matched node {}\n".format(entry0.label)
- kinetics.comment += "Estimated from node {}".format(entry.label)
+ kinetics.comment = f"Matched node {entry0.label}\n"
+ kinetics.comment += f"Estimated from node {entry.label} in family {self.label.replace('/rules','')}."
kinetics.A.value_si *= degeneracy
if degeneracy > 1:
- kinetics.comment += "\n"
- kinetics.comment += "Multiplied by reaction path degeneracy {0}".format(degeneracy)
- return kinetics,None
+ kinetics.comment += f"\nMultiplied by reaction path degeneracy {degeneracy}"
+ return kinetics, None
original_leaves = get_template_label(template)
template_list = [template]
@@ -451,8 +449,8 @@ def estimate_kinetics(self, template, degeneracy=1):
kinetics_list = remove_identical_kinetics(saved_kinetics)
if len(kinetics_list) == 0:
- raise KineticsError('Unable to determine kinetics for reaction with template {0} in family '
- '{1}.'.format(template, self.label))
+ raise KineticsError("Unable to determine kinetics for reaction "
+ f"with template {template!r} in family {self.label!s}.")
elif len(kinetics_list) == 1:
kinetics, t = kinetics_list[0]
diff --git a/rmgpy/data/reference.py b/rmgpy/data/reference.py
index d421cb1017a..8314615ebcf 100644
--- a/rmgpy/data/reference.py
+++ b/rmgpy/data/reference.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/rmg.py b/rmgpy/data/rmg.py
index 1bf8ba4eea8..a6388acf24f 100644
--- a/rmgpy/data/rmg.py
+++ b/rmgpy/data/rmg.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/solvation.py b/rmgpy/data/solvation.py
index b95f708f02a..8c6d27f0dd1 100644
--- a/rmgpy/data/solvation.py
+++ b/rmgpy/data/solvation.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -2285,8 +2285,10 @@ def get_T_dep_solvation_energy_from_LSER_298(self, solute_data, solvent_data, T)
Returns:
delG (float): solvation free energy at the input temperature in J/mol.
Kfactor (float): K-factor at the input temperature. K-factor is defined as a ratio of the mole fraction
- of a solute in a gas-phase to the mole fraction of a solute in a liquid-phase at equilibrium.
-
+ of a solute in a gas-phase to the mole fraction of a solute in a liquid-phase at equilibrium
+ kH (float): the Henry's law constant at the input temperature. kH is defined as the ratio of the pressure
+ of a solute in the gas-phase to the concentration of a solute in the liquid-phase at equilibrium.
+
Raises:
DatabaseError: if `solute_data.name_in_coolprop` is None or `solute_data` has any missing Abarham or
Mintz solvent parameters.
@@ -2379,7 +2381,7 @@ def get_Kfactor_parameters(self, delG298, delH298, delS298, solvent_name, T_tran
# Generate Amatrix and bvector for Ax = b
Amatrix = np.zeros((4, 4))
- bvec = np.zeros((4, 1))
+ bvec = np.zeros(4)
# 1. Tr*ln(K-factor) value at T = 298 K
rho_g_298 = get_gas_saturation_density(solvent_name, 298)
rho_l_298 = get_liquid_saturation_density(solvent_name, 298)
diff --git a/rmgpy/data/statmech.py b/rmgpy/data/statmech.py
index ad06fe54ec8..93206f94255 100644
--- a/rmgpy/data/statmech.py
+++ b/rmgpy/data/statmech.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/statmechfit.py b/rmgpy/data/statmechfit.py
index 31fe4892bae..c6a82edb859 100644
--- a/rmgpy/data/statmechfit.py
+++ b/rmgpy/data/statmechfit.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/surface.py b/rmgpy/data/surface.py
index 2c930a13ff6..bc3fa3971c4 100644
--- a/rmgpy/data/surface.py
+++ b/rmgpy/data/surface.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/thermo.py b/rmgpy/data/thermo.py
index 4bd050f529d..b6ab64fcd27 100644
--- a/rmgpy/data/thermo.py
+++ b/rmgpy/data/thermo.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -40,6 +40,9 @@
import numpy as np
+from pysidt import read_nodes, MultiTargetSingleEvalSubgraphIsomorphicDecisionTree
+from pysidt.utils import find_shortest_paths
+
import rmgpy.constants as constants
import rmgpy.molecule
import rmgpy.quantity
@@ -467,7 +470,7 @@ def is_ring_partial_matched(ring, matched_group):
else:
submol_ring, _ = convert_ring_to_sub_molecule(ring)
sssr = submol_ring.get_smallest_set_of_smallest_rings()
- sssr_grp = matched_group.get_smallest_set_of_smallest_rings()
+ sssr_grp = matched_group.make_sample_molecule().get_smallest_set_of_smallest_rings()
if sorted([len(sr) for sr in sssr]) == sorted([len(sr_grp) for sr_grp in sssr_grp]):
return False
else:
@@ -483,7 +486,7 @@ def bicyclic_decomposition_for_polyring(polyring):
"""
submol, _ = convert_ring_to_sub_molecule(polyring)
- sssr = submol.get_deterministic_sssr()
+ sssr = submol.get_smallest_set_of_smallest_rings()
ring_pair_with_common_atoms_list = []
ring_occurances_dict = {}
@@ -555,7 +558,7 @@ def split_bicyclic_into_single_rings(bicyclic_submol):
Splits a given bicyclic submolecule into two individual single
ring submolecules (a list of `Molecule`s ).
"""
- sssr = bicyclic_submol.get_deterministic_sssr()
+ sssr = bicyclic_submol.get_smallest_set_of_smallest_rings()
return [convert_ring_to_sub_molecule(sssr[0])[0],
convert_ring_to_sub_molecule(sssr[1])[0]]
@@ -857,6 +860,8 @@ def __init__(self):
self.libraries = {}
self.surface = {}
self.groups = {}
+ self.sidts = {}
+ self.sidt_taggings_and_decompositions = {}
self.adsorption_groups = "adsorptionPt111"
self.library_order = []
self.local_context = {
@@ -883,6 +888,7 @@ def __reduce__(self):
'depository': self.depository,
'libraries': self.libraries,
'groups': self.groups,
+ 'sidts': self.sidts,
'library_order': self.library_order,
'surface' : self.surface,
}
@@ -895,6 +901,7 @@ def __setstate__(self, d):
self.depository = d['depository']
self.libraries = d['libraries']
self.groups = d['groups']
+ self.sidts = d['sidts']
self.library_order = d['library_order']
self.surface = d['surface']
@@ -909,6 +916,7 @@ def load(self, path, libraries=None, depository=True, surface=False):
self.depository = {}
self.load_libraries(os.path.join(path, 'libraries'), libraries)
self.load_groups(os.path.join(path, 'groups'))
+ self.load_sidts(os.path.join(path,'sidt'))
if surface:
self.load_surface()
@@ -966,6 +974,25 @@ def load_libraries(self, path, libraries=None):
raise DatabaseError('Library {} not found in {}... Please check if your library is '
'correctly placed'.format(libraryName, path))
+ def unload_libraries(self, libraries=None):
+ """
+ Unload the libraries where `libraries` is a list of library names to unload.
+ If `libraries` is None, unload all libraries.
+ """
+ if isinstance(libraries, str):
+ libraries = [libraries]
+
+ if libraries is None: # unload all
+ self.libraries = {}
+ self.library_order = []
+ else:
+ for libraryName in libraries:
+ if libraryName in self.libraries:
+ self.libraries.pop(libraryName)
+ self.library_order.remove(libraryName)
+ else:
+ raise DatabaseError('Library {} not found in the current database... Please check if your library name is correct'.format(libraryName))
+
def load_surface(self):
"""
Load the metal database from the given `path` on disk, where `path`
@@ -1004,6 +1031,72 @@ def load_groups(self, path):
self.record_ring_generic_nodes()
self.record_polycylic_generic_nodes()
+
+ def load_sidts(self, path):
+ """
+ Load thermo SIDTs from the given `path` on disk, where `path`
+ points to the top-level folder of the thermo database.
+ """
+ logging.info('Loading thermodynamics SIDTs from {0}...'.format(path))
+ categories = [
+ "Pt111_monodentate_adsorption_corrections",
+ "Pt111_bidentate_adsorption_corrections",
+ "Pt111_vdw_adsorption_corrections",
+ ]
+
+ def add_monodentate_tag(m):
+ for a in m.atoms:
+ if a.is_surface_site():
+ adatom = list(a.bonds.keys())[0]
+ adatom.label = "*"
+ break
+
+ def add_bidentate_tag(m):
+ structs = []
+ sites = m.get_surface_sites()
+ s1 = sites[0]
+ s2 = sites[1]
+ paths = find_shortest_paths(s1,s2)
+ path = paths[0]
+ for a in path:
+ a.label = "*"
+
+ def add_vdw_tag(m):
+ for a in m.atoms:
+ if a.is_surface_site():
+ a.label = "*"
+ break
+
+ def multidentate_decomposition(m):
+ structs = []
+ sites = m.get_surface_sites()
+ for tup in itertools.combinations(sites,2):
+ s1 = tup[0]
+ s2 = tup[1]
+ paths = find_shortest_paths(s1,s2)
+ path = paths[0]
+ inds = []
+ for p in path:
+ inds.append(m.atoms.index(p))
+ mol = m.copy(deep=True)
+ for ind in inds:
+ mol.atoms[ind].label = "*"
+ structs.append(mol)
+
+ return structs
+
+ self.sidt_taggings_and_decompositions = {
+ "Pt111_monodentate_adsorption_corrections": add_monodentate_tag,
+ "Pt111_bidentate_adsorption_corrections": add_bidentate_tag,
+ "Pt111_vdw_adsorption_corrections": add_vdw_tag,
+ "Pt111_multidentate_adsorption_corrections": multidentate_decomposition, #special
+ }
+
+ for category in categories:
+ if os.path.exists(os.path.join(path,category+".json")):
+ nodes = read_nodes(os.path.join(path,category+".json"))
+ tree = MultiTargetSingleEvalSubgraphIsomorphicDecisionTree(nodes=nodes)
+ self.sidts[category] = tree
def save(self, path):
"""
@@ -1293,7 +1386,7 @@ def get_thermo_data(self, species, metal_to_scale_to=None, training_set=None):
if species.contains_surface_site():
try:
thermo0 = self.get_thermo_data_for_surface_species(species)
- metal_to_scale_from = self.adsorption_groups.split('adsorption')[-1]
+ metal_to_scale_from = self.adsorption_groups.split('adsorption')[-1].replace("SIDT","",1)
if metal_to_scale_from != metal_to_scale_to:
thermo0 = self.correct_binding_energy(thermo0, species, metal_to_scale_from=metal_to_scale_from, metal_to_scale_to=metal_to_scale_to) # group adsorption values come from Pt111
return thermo0
@@ -1683,81 +1776,133 @@ def _add_adsorption_correction(self, adsorption_thermo, adsorption_groups, molec
molecule ([Molecule]): the molecule to apply the thermo correction
surface_sites ([list([Atom])]): a list of the surface site atoms in the molecule
"""
-
number_of_surface_sites = len(surface_sites)
-
- matches = []
- for atom in surface_sites:
- labeled_atoms = {'*': atom}
- node = adsorption_groups.descend_tree(molecule, labeled_atoms)
- if node is None:
- # no match, so try the next surface site
- continue
- while node is not None and node.data is None:
- node = node.parent
- if node is None:
- # no data, so try the next surface site
- continue
- data = node.data
- comment = node.label
- loop_count = 0
- while isinstance(data, str):
- loop_count += 1
- if loop_count > 100:
- raise DatabaseError("Maximum iterations reached while following thermo group data pointers. A circular"
- f" reference may exist. Last node was {node.label} pointing to group called {data} in "
- f"database {adsorption_groups.label}")
-
- for entry in adsorption_groups.entries.values():
- if entry.label == data:
- data = entry.data
- comment = entry.label
- break
- else:
- raise DatabaseError(f"Node {node.label} points to a non-existing group called {data} "
- f"in database {adsorption_groups.label}")
- data.comment = f'{adsorption_groups.label}({comment})'
- group_surface_sites = node.item.get_surface_sites()
- if len(group_surface_sites) == number_of_surface_sites:
- # all the surface sites are accounted for so add the adsorption group and return
- add_thermo_data(adsorption_thermo, data, group_additivity=True)
- return True
- else:
- # we have not found a full match yet, so append and keep looking
- matches.append((len(group_surface_sites),data))
- if len(matches) == 0:
- raise DatabaseError(f"Could not find an adsorption correction in {adsorption_groups.label} for {molecule}")
- matches.sort(key = lambda x: -x[0])
- # sort the matches by descending number of surface sites
- corrections_applied = 0
- # start a counter for the number of corrections applied
- for number_of_group_sites, data in matches:
- if number_of_surface_sites - number_of_group_sites < 0:
- # too many sites in this group, skip to the next one
- continue
- if not corrections_applied:
- # this is the first correction, so add H298, S298, and Cp
- add_thermo_data(adsorption_thermo, data, group_additivity=True)
- else:
- # We have already corrected S298 and Cp, so we only want to correct H298
- adsorption_thermo.H298.value_si += data.H298.value_si
- adsorption_thermo.comment += ' + H298({0})'.format(data.comment)
- corrections_applied += 1
- number_of_surface_sites -= number_of_group_sites
- if number_of_surface_sites <= 0:
- # we have corrected for all the sites
- if number_of_surface_sites < 0:
- adsorption_thermo.comment += ' WARNING(Too many adsorption corrections were added to the thermo!'
- adsorption_thermo.comment += 'The H298 is very likely understimated as a result!)'
- break
-
- if number_of_surface_sites > 0:
- adsorption_thermo.comment += ' WARNING({} surface sites were unaccounted for with adsorption corrections!'.format(number_of_surface_sites)
- adsorption_thermo.comment += 'The H298 is very likely overestimated as a result!)'
-
- return True
+ if "SIDT" not in self.adsorption_groups:
+ matches = []
+ for atom in surface_sites:
+ labeled_atoms = {'*': atom}
+ node = adsorption_groups.descend_tree(molecule, labeled_atoms)
+ if node is None:
+ # no match, so try the next surface site
+ continue
+ while node is not None and node.data is None:
+ node = node.parent
+ if node is None:
+ # no data, so try the next surface site
+ continue
+ data = node.data
+ comment = node.label
+ loop_count = 0
+ while isinstance(data, str):
+ loop_count += 1
+ if loop_count > 100:
+ raise DatabaseError("Maximum iterations reached while following thermo group data pointers. A circular"
+ f" reference may exist. Last node was {node.label} pointing to group called {data} in "
+ f"database {adsorption_groups.label}")
+
+ for entry in adsorption_groups.entries.values():
+ if entry.label == data:
+ data = entry.data
+ comment = entry.label
+ break
+ else:
+ raise DatabaseError(f"Node {node.label} points to a non-existing group called {data} "
+ f"in database {adsorption_groups.label}")
+ data.comment = f'{adsorption_groups.label}({comment})'
+ group_surface_sites = node.item.get_surface_sites()
+ if len(group_surface_sites) == number_of_surface_sites:
+ # all the surface sites are accounted for so add the adsorption group and return
+ add_thermo_data(adsorption_thermo, data, group_additivity=True)
+ return True
+ else:
+ # we have not found a full match yet, so append and keep looking
+ matches.append((len(group_surface_sites),data))
+
+ if len(matches) == 0:
+ raise DatabaseError(f"Could not find an adsorption correction in {adsorption_groups.label} for {molecule}")
+ matches.sort(key = lambda x: -x[0])
+ # sort the matches by descending number of surface sites
+ corrections_applied = 0
+ # start a counter for the number of corrections applied
+ for number_of_group_sites, data in matches:
+ if number_of_surface_sites - number_of_group_sites < 0:
+ # too many sites in this group, skip to the next one
+ continue
+ if not corrections_applied:
+ # this is the first correction, so add H298, S298, and Cp
+ add_thermo_data(adsorption_thermo, data, group_additivity=True)
+ else:
+ # We have already corrected S298 and Cp, so we only want to correct H298
+ adsorption_thermo.H298.value_si += data.H298.value_si
+ adsorption_thermo.comment += ' + H298({0})'.format(data.comment)
+ corrections_applied += 1
+ number_of_surface_sites -= number_of_group_sites
+ if number_of_surface_sites <= 0:
+ # we have corrected for all the sites
+ if number_of_surface_sites < 0:
+ adsorption_thermo.comment += ' WARNING(Too many adsorption corrections were added to the thermo!'
+ adsorption_thermo.comment += 'The H298 is very likely understimated as a result!)'
+ break
+
+ if number_of_surface_sites > 0:
+ adsorption_thermo.comment += ' WARNING({} surface sites were unaccounted for with adsorption corrections!'.format(number_of_surface_sites)
+ adsorption_thermo.comment += 'The H298 is very likely overestimated as a result!)'
+ return True
+ else:
+ if number_of_surface_sites == 1:
+ if len(molecule.split()) == 1:
+ self.sidt_taggings_and_decompositions["Pt111_monodentate_adsorption_corrections"](molecule)
+ root = self.sidts["Pt111_monodentate_adsorption_corrections"].nodes["Root"]
+ data, unc, tr = self.sidts["Pt111_monodentate_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True)
+ else:
+ self.sidt_taggings_and_decompositions["Pt111_vdw_adsorption_corrections"](molecule)
+ data, unc, tr = self.sidts["Pt111_vdw_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True)
+ elif number_of_surface_sites == 2:
+ self.sidt_taggings_and_decompositions["Pt111_bidentate_adsorption_corrections"](molecule)
+ data, unc, tr = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(molecule,trace=True,estimate_uncertainty=True)
+ else: # >2 surface sites
+ data = None
+ sts = self.sidt_taggings_and_decompositions["Pt111_multidentate_adsorption_corrections"](molecule)
+ Nsts = 0
+ for st in sts:
+ if data is None:
+ dE = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st)
+ else:
+ dE = self.sidts["Pt111_bidentate_adsorption_corrections"].evaluate(st)
+
+ if dE is not None:
+ if data is None:
+ data = dE
+ else:
+ data += dE
+ Nsts += 1
+
+ data /= Nsts
+ unc = [275.3710444584647,
+ 35.06003505844255,
+ 9.443946756077908,
+ 12.96897559887163,
+ 16.813134867837555,
+ 20.353756412672936,
+ 26.25846562429047,
+ 30.888440606215646,
+ 38.49498107527693] #based on tridentate data
+ tr = "estimators not designed to handle >2 adsorption sites corrections errors may be very high"
+
+ molecule.clear_labeled_atoms()
+
+ adsorption_thermo.H298.value_si += data[0]*1000.0 #kJ/mol
+ adsorption_thermo.H298.uncertainty_si += unc[0]*1000.0
+ adsorption_thermo.S298.value_si += data[1] #J/(mol*K)
+ adsorption_thermo.S298.uncertainty_si += unc[1]
+ adsorption_thermo.Cpdata.value_si += data[2:] #J/(mol*K)
+ adsorption_thermo.Cpdata.uncertainty_si += unc[2:]
+ adsorption_thermo.comment += f'{self.adsorption_groups}({tr})'
+
+ return True
+
def get_thermo_data_from_libraries(self, species, training_set=None):
"""
Return the thermodynamic parameters for a given :class:`Species`
@@ -2716,15 +2861,18 @@ def extract_source_from_comments(self, species):
Parses the verbose string of comments from the thermo data of the species object,
and extracts the thermo sources.
- Returns a dictionary with keys of either 'Library', 'QM', and/or 'GAV'.
+ Returns a dictionary with keys of 'Library', 'QM', 'ADS', and/or 'GAV'.
Commonly, species thermo are estimated using only one of these sources.
However, a radical can be estimated with more than one type of source, for
instance a saturated library value and a GAV HBI correction, or a QM saturated value
- and a GAV HBI correction.
+ and a GAV HBI correction. Adsorbates can be estimated using a single library
+ for the adsorbate or a combination of a gas phase library for the
+ gas phase portion and an adsorption correction.
source = {'Library': String_Name_of_Library_Used,
'QM': String_of_Method_Used,
- 'GAV': Dictionary_of_Groups_Used
+ 'GAV': Dictionary_of_Groups_Used,
+ 'ADS': Dictionary_of_Adsorption_Group_Used,
}
The Dictionary_of_Groups_Used looks like
@@ -2743,14 +2891,56 @@ def extract_source_from_comments(self, species):
# Store the level of the calculation, which is the 2nd token in the comments
source['QM'] = tokens[1]
+ elif comment.startswith('Gas phase thermo'):
+ # Handle adsorption correction thermo data of the following format:
+ # Library example
+ # Gas phase thermo for C(T) from Thermo library: primaryThermoLibrary.
+ # Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(Cq*)
+
+ # GAV example
+ # Gas phase thermo for [CH]CC from Thermo group additivity estimation: group(Cs-CsCsHH) + group(Cs-CsHHH) + group(Cs-CsHHH) + radical(CCJ2_triplet).
+ # Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C=*RCR3)"
+
+ comment = comment.replace(r'\n', ' ')
+ comment = comment.replace('\n', ' ')
+ if 'Adsorption correction:' not in comment:
+ raise ValueError(f'adsorption correction in unrecognized format {comment}')
+
+ # Handle the gas-phase portion first
+ gas_comment = comment.split('Adsorption correction: + ')[0].strip()
+ if gas_comment.endswith('.'):
+ gas_comment = gas_comment[:-1] # delete the . at the end if it exists
+ gas_comment = gas_comment[gas_comment.find('from ', len('Gas phase thermo for ')) + len('from '):]
+ dummy_gas_phase_species = Species()
+ dummy_gas_phase_species.thermo = NASA()
+ dummy_gas_phase_species.thermo.comment = gas_comment
+ source = self.extract_source_from_comments(dummy_gas_phase_species)
+
+ # This is an adsorption correction
+ # comment is split into two parts: the gas phase, and the surface adsorption correction
+ ads_correction_comment = comment.split('Adsorption correction: +')[-1].strip()
+ dummy_adsorption_correction_species = Species()
+ dummy_adsorption_correction_species.thermo = NASA()
+ dummy_adsorption_correction_species.thermo.comment = ads_correction_comment
+ source['ADS'] = self.extract_source_from_comments(dummy_adsorption_correction_species)['GAV']
+
+ return source
+
# Check for group additivity contributions to the thermo in this species
- # The contribution of the groups can be either additive or substracting
+ # The contribution of the groups can be either additive or subtracting
# after changes to the polycyclic algorithm
comment = comment.replace(' + ', ' +')
comment = comment.replace(' - ', ' -')
- tokens = comment.split()
+
+ # Sometimes chemkin splits the comment with newlines
+ # this allows us to get rid of newlines while ensuring separate
+ # groups are still split by spaces
+ comment = comment.replace(')\n+', ') +')
+ comment = comment.replace(')\n-', ') -')
+ comment = comment.replace('\n', '')
+ tokens = comment.split(' ')
groups = {}
group_types = list(self.groups.keys())
diff --git a/rmgpy/data/transport.py b/rmgpy/data/transport.py
index 14324a55a61..858876134f5 100644
--- a/rmgpy/data/transport.py
+++ b/rmgpy/data/transport.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/data/vaporLiquidMassTransfer.py b/rmgpy/data/vaporLiquidMassTransfer.py
index 2abb0fd106c..25672e0c66c 100644
--- a/rmgpy/data/vaporLiquidMassTransfer.py
+++ b/rmgpy/data/vaporLiquidMassTransfer.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/display.py b/rmgpy/display.py
index 3b6c751a10b..dfb1665dae3 100644
--- a/rmgpy/display.py
+++ b/rmgpy/display.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -29,18 +29,18 @@
"""
This module contains only a display() function, which, if you are running in
-the IPython --pylab mode, will render things inline in pretty SVG or PNG graphics.
-If you are NOT running in IPython --pylab mode, it will do nothing.
+a Jupyter notebook or IPython session, will render things inline in pretty SVG or PNG graphics.
+If you are NOT running in such an environment, it will do nothing.
"""
try:
- from IPython.core.interactiveshell import InteractiveShell
+ from IPython import get_ipython
+ _ipython = get_ipython()
except ImportError:
+ _ipython = None
+
+if _ipython is not None:
+ from IPython.display import display
+else:
def display(obj):
pass
-else:
- if InteractiveShell.initialized():
- from IPython.core.display import display
- else:
- def display(obj):
- pass
diff --git a/rmgpy/exceptions.py b/rmgpy/exceptions.py
index f2e7dae4602..8abebebda91 100644
--- a/rmgpy/exceptions.py
+++ b/rmgpy/exceptions.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/__init__.py b/rmgpy/kinetics/__init__.py
index b3f8eec12e6..161af48d3b7 100644
--- a/rmgpy/kinetics/__init__.py
+++ b/rmgpy/kinetics/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/arrhenius.pxd b/rmgpy/kinetics/arrhenius.pxd
index 2d39ac48d47..541c71f2a34 100644
--- a/rmgpy/kinetics/arrhenius.pxd
+++ b/rmgpy/kinetics/arrhenius.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/arrhenius.pyx b/rmgpy/kinetics/arrhenius.pyx
index ea9e462d4f8..43b58dd8304 100644
--- a/rmgpy/kinetics/arrhenius.pyx
+++ b/rmgpy/kinetics/arrhenius.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -272,7 +272,10 @@ cdef class Arrhenius(KineticsModel):
if arrhenius_class:
return ct.Arrhenius(A, b, E)
else:
- return ct.ArrheniusRate(A, b, E)
+ rate = ct.ArrheniusRate(A, b, E)
+ if A < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ return rate
def set_cantera_kinetics(self, ct_reaction, species_list):
"""
@@ -573,16 +576,20 @@ cdef class ArrheniusBM(KineticsModel):
Return the activation energy in J/mol corresponding to the given
enthalpy of reaction `dHrxn` in J/mol, evaluated at 298 K.
"""
- cdef double w0, E0
+ cdef double w0, E0, Ea
E0 = self._E0.value_si
- if dHrxn < -4 * self._E0.value_si:
- return 0.0
- elif dHrxn > 4 * self._E0.value_si:
- return dHrxn
+ w0 = self._w0.value_si
+ if E0 < 0:
+ # Negative E0 is unphysical, but could be encountered during optimization.
+ Ea = E0 + max(dHrxn, 0.0)
else:
- w0 = self._w0.value_si
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- return (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
+ if (Ea < 0.0) or (dHrxn < -4 * E0):
+ Ea = 0.0
+ elif (Ea < dHrxn) or (dHrxn > 4 * E0):
+ Ea = dHrxn
+ return Ea
cpdef Arrhenius to_arrhenius(self, double dHrxn):
"""
@@ -613,11 +620,12 @@ cdef class ArrheniusBM(KineticsModel):
assert w0 is not None or recipe is not None, 'either w0 or recipe must be specified'
if Ts is None:
- Ts = [300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0, 2000.0]
+ Ts = np.array([300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0, 2000.0])
if w0 is None:
#estimate w0
w0s = get_w0s(recipe, rxns)
w0 = sum(w0s) / len(w0s)
+ self.w0 = (w0 * 0.001, 'kJ/mol')
if len(rxns) == 1:
rxn = rxns[0]
@@ -627,8 +635,8 @@ cdef class ArrheniusBM(KineticsModel):
Ea = rxn.kinetics.Ea.value_si
def kfcn(E0):
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
return out
E0 = fsolve(kfcn, w0 / 10.0)[0]
@@ -642,23 +650,40 @@ cdef class ArrheniusBM(KineticsModel):
def kfcn(xs, lnA, n, E0):
T = xs[:,0]
dHrxn = xs[:,1]
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea)
Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea)
- return lnA + np.log(T ** n * np.exp(-Ea / (8.314 * T)))
+ return lnA + np.log(T) * n + (-Ea / (constants.R * T))
# get (T,dHrxn(T)) -> (Ln(k) mappings
xdata = []
ydata = []
sigmas = []
+ E0 = 0.0
+ lnA = 0.0
+ n = 0.0
for rxn in rxns:
# approximately correct the overall uncertainties to std deviations
s = rank_accuracy_map[rxn.rank].value_si/2.0
+ dHrxn = rxn.get_enthalpy_of_reaction(298.0)
for T in Ts:
- xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)])
+ xdata.append([T, dHrxn])
ydata.append(np.log(rxn.get_rate_coefficient(T)))
- sigmas.append(s / (8.314 * T))
+ sigmas.append(s / (constants.R * T))
+ # Use BEP with alpha = 0.25 for inital guess of E0
+ E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn
+ lnA += np.log(rxn.kinetics.A.value_si)
+ n += rxn.kinetics.n.value_si
+ # Use the averages as intial guess
+ E0 /= len(rxns)
+ lnA /= len(rxns)
+ n /= len(rxns)
+ E0 = min(E0, w0)
+ w0 = max(2 * E0, w0) # Expression only works if w0>2E0, and is insensitive to w0
+ self.w0 = (w0 * 0.001, 'kJ/mol')
+ if E0 < 0:
+ E0 = w0 / 100.0
xdata = np.array(xdata)
ydata = np.array(ydata)
@@ -667,10 +692,19 @@ cdef class ArrheniusBM(KineticsModel):
keep_trying = True
xtol = 1e-8
ftol = 1e-8
+ attempts = 0
while keep_trying:
keep_trying = False
try:
- params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[1.0, 1.0, w0 / 10.0], xtol=xtol, ftol=ftol)
+ params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[lnA, n, E0], xtol=xtol, ftol=ftol)
+ lnA, n, E0 = params[0].tolist()
+ if abs(E0/self.w0.value_si) > 1 and attempts < 5:
+ keep_trying = True
+ if attempts > 0:
+ self.w0.value_si *= 1.25
+ w0 = self.w0.value_si # update local variable for use in kfcn optimization function
+ attempts += 1
+ E0 = self.w0.value_si / 10.0
except RuntimeError:
if xtol < 1.0:
keep_trying = True
@@ -679,7 +713,6 @@ cdef class ArrheniusBM(KineticsModel):
else:
raise ValueError("Could not fit BM arrhenius to reactions with xtol<1.0")
- lnA, n, E0 = params[0].tolist()
A = np.exp(lnA)
self.Tmin = (np.min(Ts), "K")
@@ -695,8 +728,7 @@ cdef class ArrheniusBM(KineticsModel):
self.A = (A, A_units[order])
self.n = n
- self.w0 = (w0, 'J/mol')
- self.E0 = (E0, 'J/mol')
+ self.E0 = (E0 * 0.001, 'kJ/mol')
return self
@@ -755,7 +787,10 @@ cdef class ArrheniusBM(KineticsModel):
Ea = self._E0.value_si * 1000 # convert from J/mol to J/kmol
w = self._w0.value_si * 1000 # convert from J/mol to J/kmol
- return ct.BlowersMaselRate(A, b, Ea, w)
+ rate = ct.BlowersMaselRate(A, b, Ea, w)
+ if A < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ return rate
def set_cantera_kinetics(self, ct_reaction, species_list):
"""
@@ -917,17 +952,24 @@ cdef class PDepArrhenius(PDepKineticsModel):
def set_cantera_kinetics(self, ct_reaction, species_list):
"""
Sets a Cantera PlogReaction()'s `rates` attribute with
- A list of tuples containing [(pressure in Pa, cantera arrhenius object), (..)]
+ a list of tuples containing [(pressure in Pa, cantera arrhenius object), ...].
+
+ A ``MultiArrhenius`` entry (from chemkin PLOG blocks with duplicate
+ pressures) is expanded into one tuple per inner Arrhenius; Cantera's
+ PlogRate sums duplicate-pressure entries at evaluation.
"""
import cantera as ct
- import copy
assert isinstance(ct_reaction.rate, ct.PlogRate), "Must have a Cantera PlogRate attribute"
- pressures = copy.deepcopy(self._pressures.value_si)
- ctArrhenius = [arr.to_cantera_kinetics(arrhenius_class=True) for arr in self.arrhenius]
+ rate_pairs = []
+ for P, arr in zip(self._pressures.value_si, self.arrhenius):
+ if isinstance(arr, MultiArrhenius):
+ for sub in arr.arrhenius:
+ rate_pairs.append((P, sub.to_cantera_kinetics(arrhenius_class=True)))
+ else:
+ rate_pairs.append((P, arr.to_cantera_kinetics(arrhenius_class=True)))
- new_rates = ct.PlogRate(list(zip(pressures, ctArrhenius)))
- ct_reaction.rate = new_rates
+ ct_reaction.rate = ct.PlogRate(rate_pairs)
################################################################################
@@ -1550,16 +1592,20 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
Return the activation energy in J/mol corresponding to the given
enthalpy of reaction `dHrxn` in J/mol.
"""
- cdef double w0, E0
+ cdef double w0, E0, Ea
E0 = self._E0.value_si
- if dHrxn < -4 * self._E0.value_si:
- return 0.0
- elif dHrxn > 4 * self._E0.value_si:
- return dHrxn
+ w0 = self._w0.value_si
+ if E0 < 0:
+ # Negative E0 is unphysical, but could be encountered during optimization.
+ Ea = E0 + max(dHrxn, 0.0)
else:
- w0 = self._w0.value_si
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- return (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) ** 2 / (Vp ** 2 - (2 * w0) ** 2 + dHrxn ** 2)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
+ if (Ea < 0.0) or (dHrxn < -4 * E0):
+ Ea = 0.0
+ elif (Ea < dHrxn) or (dHrxn > 4 * E0):
+ Ea = dHrxn
+ return Ea
cpdef double get_rate_coefficient_from_potential(self, double T, double V, double dHrxn) except -1:
"""
@@ -1589,11 +1635,12 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
rxn.kinetics.change_v0(0.0)
if Ts is None:
- Ts = [300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0]
+ Ts = np.array([300.0, 500.0, 600.0, 700.0, 800.0, 900.0, 1000.0, 1100.0, 1200.0, 1500.0])
if w0 is None:
#estimate w0
w0s = get_w0s(recipe, rxns)
w0 = sum(w0s) / len(w0s)
+ self.w0 = (w0 * 0.001, 'kJ/mol')
if len(rxns) == 1:
rxn = rxns[0]
@@ -1603,8 +1650,8 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
Ea = rxn.kinetics.Ea.value_si
def kfcn(E0):
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ out = Ea - (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
return out
E0 = fsolve(kfcn, w0 / 10.0)[0]
@@ -1617,23 +1664,40 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
def kfcn(xs, lnA, n, E0):
T = xs[:,0]
dHrxn = xs[:,1]
- Vp = 2 * w0 * (2 * w0 + 2 * E0) / (2 * w0 - 2 * E0)
- Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (2 * w0) * (2 * w0) + dHrxn * dHrxn)
+ Vp = 2 * w0 * (w0 + E0) / (w0 - E0)
+ Ea = (w0 + dHrxn / 2.0) * (Vp - 2 * w0 + dHrxn) * (Vp - 2 * w0 + dHrxn) / (Vp * Vp - (4 * w0 * w0) + dHrxn * dHrxn)
Ea = np.where(dHrxn< -4.0*E0, 0.0, Ea)
Ea = np.where(dHrxn > 4.0*E0, dHrxn, Ea)
- return lnA + np.log(T ** n * np.exp(-Ea / (8.314 * T)))
+ return lnA + np.log(T) * n + (-Ea / (constants.R * T))
# get (T,dHrxn(T)) -> (Ln(k) mappings
xdata = []
ydata = []
sigmas = []
+ E0 = 0.0
+ lnA = 0.0
+ n = 0.0
for rxn in rxns:
# approximately correct the overall uncertainties to std deviations
s = rank_accuracy_map[rxn.rank].value_si/2.0
+ dHrxn = rxn.get_enthalpy_of_reaction(298.0)
for T in Ts:
- xdata.append([T, rxn.get_enthalpy_of_reaction(298.0)])
+ xdata.append([T, dHrxn])
ydata.append(np.log(rxn.get_rate_coefficient(T)))
- sigmas.append(s / (8.314 * T))
+ sigmas.append(s / (constants.R * T))
+ # Use BEP with alpha = 0.25 for initial guess of E0
+ E0 += rxn.kinetics._Ea.value_si - 0.25 * dHrxn
+ lnA += np.log(rxn.kinetics.A.value_si)
+ n += rxn.kinetics.n.value_si
+ # average E0, lnA, n over all reactions
+ E0 /= len(rxns)
+ lnA /= len(rxns)
+ n /= len(rxns)
+ E0 = min(E0, w0)
+ w0 = max(2 * E0, w0) # ensure w0 is at least 2*E0
+ self.w0 = (w0 * 0.001, 'kJ/mol')
+ if E0 < 0:
+ E0 = w0 / 100.0
xdata = np.array(xdata)
ydata = np.array(ydata)
@@ -1642,10 +1706,19 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
keep_trying = True
xtol = 1e-8
ftol = 1e-8
+ attempts = 0
while keep_trying:
keep_trying = False
try:
- params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[1.0, 1.0, w0 / 10.0], xtol=xtol, ftol=ftol)
+ params = curve_fit(kfcn, xdata, ydata, sigma=sigmas, p0=[lnA, n, E0], xtol=xtol, ftol=ftol)
+ lnA, n, E0 = params[0].tolist()
+ if abs(E0/self.w0.value_si) > 1.0 and attempts < 5:
+ keep_trying = True
+ if attempts > 0:
+ self.w0.value_si *= 1.25
+ w0 = self.w0.value_si # update local variable for use in kfcn optimization function
+ attempts += 1
+ E0 = self.w0.value_si / 10.0
except RuntimeError:
if xtol < 1.0:
keep_trying = True
@@ -1654,7 +1727,6 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
else:
raise ValueError("Could not fit BM arrhenius to reactions with xtol<1.0")
- lnA, n, E0 = params[0].tolist()
A = np.exp(lnA)
self.Tmin = (np.min(Ts), "K")
@@ -1669,8 +1741,7 @@ cdef class ArrheniusChargeTransferBM(KineticsModel):
self.A = (A, A_units[order])
self.n = n
- self.w0 = (w0, 'J/mol')
- self.E0 = (E0, 'J/mol')
+ self.E0 = (E0 * 0.001, 'kJ/mol')
self._V0.value_si = 0.0
self.electrons = rxns[0].electrons
diff --git a/rmgpy/kinetics/chebyshev.pxd b/rmgpy/kinetics/chebyshev.pxd
index 309440ad92e..b7f1dcb7002 100644
--- a/rmgpy/kinetics/chebyshev.pxd
+++ b/rmgpy/kinetics/chebyshev.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/chebyshev.pyx b/rmgpy/kinetics/chebyshev.pyx
index 3d0cb6bf1eb..b617928dfb5 100644
--- a/rmgpy/kinetics/chebyshev.pyx
+++ b/rmgpy/kinetics/chebyshev.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -193,7 +193,7 @@ cdef class Chebyshev(PDepKineticsModel):
raise KineticsError("The master equation data needs more temperature and pressure data "
"points than are placed into Chebyshev polynomial. Currently, the "
"data has {0} temperatures and the polynomial is set to have {1}. "
- "The data has {2} pressures and the polynomial is set ot have {3}"
+ "The data has {2} pressures and the polynomial is set to have {3}"
"".format(nT, degreeT, nP, degreeP))
elif nT < 1.25 * degreeT or nP < 1.25 * degreeP:
logging.warning('This Chebyshev fitting has few degrees of freedom and may not be '
diff --git a/rmgpy/kinetics/diffusionLimited.py b/rmgpy/kinetics/diffusionLimited.py
index 4805f2857ed..fcffbd01109 100644
--- a/rmgpy/kinetics/diffusionLimited.py
+++ b/rmgpy/kinetics/diffusionLimited.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -34,7 +34,6 @@
import rmgpy.constants as constants
from rmgpy.molecule.fragment import Fragment
-from rmgpy.species import Species
def _to_molecule(obj):
"""Return plain Molecule; accept Molecule or (Molecule, mapping) tuple."""
@@ -113,6 +112,8 @@ def get_diffusion_limit(self, T, reaction, forward=True):
(ie. forward direction if forward=True [default] or reverse if forward=False)
Returns the rate coefficient k_diff in m3/mol/s.
"""
+ from rmgpy.species import Species
+
if forward:
reacting = reaction.reactants
else:
diff --git a/rmgpy/kinetics/falloff.pxd b/rmgpy/kinetics/falloff.pxd
index 78899e8214f..cc0cd98706a 100644
--- a/rmgpy/kinetics/falloff.pxd
+++ b/rmgpy/kinetics/falloff.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/falloff.pyx b/rmgpy/kinetics/falloff.pyx
index 12290667be7..8107cc06a35 100644
--- a/rmgpy/kinetics/falloff.pyx
+++ b/rmgpy/kinetics/falloff.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -124,9 +124,7 @@ cdef class ThirdBody(PDepKineticsModel):
"""
Sets the kinetics and efficiencies for a cantera `ThreeBodyReaction` object
"""
- import cantera as ct
- assert isinstance(ct_reaction, ct.ThreeBodyReaction), "Must be a Cantera ThreeBodyReaction object"
- ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
+ ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
self.arrheniusLow.set_cantera_kinetics(ct_reaction, species_list)
################################################################################
@@ -226,7 +224,7 @@ cdef class Lindemann(PDepKineticsModel):
"""
import cantera as ct
assert isinstance(ct_reaction.rate, ct.LindemannRate), "Must have a Cantera LindemannRate attribute"
- ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
+ ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
ct_reaction.rate = self.to_cantera_kinetics()
@@ -238,7 +236,12 @@ cdef class Lindemann(PDepKineticsModel):
high_rate = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True)
low_rate = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True)
- return ct.LindemannRate(low=low_rate, high=high_rate)
+ rate = ct.LindemannRate()
+ if high_rate.pre_exponential_factor < 0 or low_rate.pre_exponential_factor < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ rate.high_rate = high_rate
+ rate.low_rate = low_rate
+ return rate
################################################################################
@@ -398,7 +401,7 @@ cdef class Troe(PDepKineticsModel):
"""
import cantera as ct
assert isinstance(ct_reaction.rate, ct.TroeRate), "Must have a Cantera TroeRate attribute"
- ct_reaction.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
+ ct_reaction.third_body.efficiencies = PDepKineticsModel.get_cantera_efficiencies(self, species_list)
ct_reaction.rate = self.to_cantera_kinetics()
def to_cantera_kinetics(self):
@@ -417,4 +420,10 @@ cdef class Troe(PDepKineticsModel):
high = self.arrheniusHigh.to_cantera_kinetics(arrhenius_class=True)
low = self.arrheniusLow.to_cantera_kinetics(arrhenius_class=True)
- return ct.TroeRate(high=high, low=low, falloff_coeffs=falloff)
+ rate = ct.TroeRate()
+ if high.pre_exponential_factor < 0 or low.pre_exponential_factor < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ rate.high_rate = high
+ rate.low_rate = low
+ rate.falloff_coeffs = falloff
+ return rate
diff --git a/rmgpy/kinetics/kineticsdata.pxd b/rmgpy/kinetics/kineticsdata.pxd
index e0322ba0443..93314cb2b17 100644
--- a/rmgpy/kinetics/kineticsdata.pxd
+++ b/rmgpy/kinetics/kineticsdata.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/kineticsdata.pyx b/rmgpy/kinetics/kineticsdata.pyx
index 292a56a7ab3..e5555300f2c 100644
--- a/rmgpy/kinetics/kineticsdata.pyx
+++ b/rmgpy/kinetics/kineticsdata.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/model.pxd b/rmgpy/kinetics/model.pxd
index 9f2fa3f28cd..78e8f9fde77 100644
--- a/rmgpy/kinetics/model.pxd
+++ b/rmgpy/kinetics/model.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/model.pyx b/rmgpy/kinetics/model.pyx
index 262b33142b2..5af845f25b7 100644
--- a/rmgpy/kinetics/model.pyx
+++ b/rmgpy/kinetics/model.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/surface.pxd b/rmgpy/kinetics/surface.pxd
index 0a834ea5a93..6f6c783550c 100644
--- a/rmgpy/kinetics/surface.pxd
+++ b/rmgpy/kinetics/surface.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/surface.pyx b/rmgpy/kinetics/surface.pyx
index 7787a82e479..5e1eca4b80b 100644
--- a/rmgpy/kinetics/surface.pyx
+++ b/rmgpy/kinetics/surface.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -299,7 +299,10 @@ cdef class StickingCoefficient(KineticsModel):
b = self._n.value_si
E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol
- return ct.StickingArrheniusRate(A, b, E)
+ rate = ct.StickingArrheniusRate(A, b, E)
+ if A < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ return rate
def set_cantera_kinetics(self, ct_reaction, species_list):
@@ -654,7 +657,10 @@ cdef class SurfaceArrhenius(Arrhenius):
b = self._n.value_si
E = self._Ea.value_si * 1000 # convert from J/mol to J/kmol
- return ct.InterfaceArrheniusRate(A, b, E)
+ rate = ct.InterfaceArrheniusRate(A, b, E)
+ if A < 0:
+ rate.allow_negative_pre_exponential_factor = True
+ return rate
def set_cantera_kinetics(self, ct_reaction, species_list):
"""
diff --git a/rmgpy/kinetics/tunneling.pxd b/rmgpy/kinetics/tunneling.pxd
index e75f2d170dc..9d575eb90cb 100644
--- a/rmgpy/kinetics/tunneling.pxd
+++ b/rmgpy/kinetics/tunneling.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/tunneling.pyx b/rmgpy/kinetics/tunneling.pyx
index 070141bfaf7..44ba0433fd2 100644
--- a/rmgpy/kinetics/tunneling.pyx
+++ b/rmgpy/kinetics/tunneling.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/uncertainties.pxd b/rmgpy/kinetics/uncertainties.pxd
index 41ee3d05410..1ea587bbfdb 100644
--- a/rmgpy/kinetics/uncertainties.pxd
+++ b/rmgpy/kinetics/uncertainties.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/kinetics/uncertainties.pyx b/rmgpy/kinetics/uncertainties.pyx
index 49d08e7f33b..ad08b54a520 100644
--- a/rmgpy/kinetics/uncertainties.pyx
+++ b/rmgpy/kinetics/uncertainties.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/ml/__init__.py b/rmgpy/ml/__init__.py
index 1565f9f6553..c89b3ecc0b7 100644
--- a/rmgpy/ml/__init__.py
+++ b/rmgpy/ml/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/ml/estimator.py b/rmgpy/ml/estimator.py
index 81e1d9e701e..a032bceff4d 100644
--- a/rmgpy/ml/estimator.py
+++ b/rmgpy/ml/estimator.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/__init__.py b/rmgpy/molecule/__init__.py
index 85e738467a5..5e8a6f74394 100644
--- a/rmgpy/molecule/__init__.py
+++ b/rmgpy/molecule/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/adjlist.py b/rmgpy/molecule/adjlist.py
index 852d7bc9d0a..b09ab381b42 100644
--- a/rmgpy/molecule/adjlist.py
+++ b/rmgpy/molecule/adjlist.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -1093,7 +1093,7 @@ def to_adjacency_list(atoms, multiplicity, metal='', facet='', label=None, group
# numbers if doesn't work
try:
adjlist += bond.get_order_str()
- except ValueError:
+ except (ValueError, TypeError):
adjlist += str(bond.get_order_num())
adjlist += '}'
diff --git a/rmgpy/molecule/atomtype.pxd b/rmgpy/molecule/atomtype.pxd
index dbd168c4a0b..2c5ebca29e9 100644
--- a/rmgpy/molecule/atomtype.pxd
+++ b/rmgpy/molecule/atomtype.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/atomtype.py b/rmgpy/molecule/atomtype.py
index 960648c6ee5..a863f1d4ebc 100644
--- a/rmgpy/molecule/atomtype.py
+++ b/rmgpy/molecule/atomtype.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -374,7 +374,7 @@ def get_features(self):
ATOMTYPES['Li'] = AtomType('Li', generic=['R', 'R!H', 'R!H!Val7'], specific=['Li0','Li+'],
single=[0,1], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[0,1])
-ATOMTYPES['Li0'] = AtomType('Li', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[],
+ATOMTYPES['Li0'] = AtomType('Li0', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[],
single=[0,1], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[0])
ATOMTYPES['Li+'] = AtomType('Li+', generic=['Li','R', 'R!H', 'R!H!Val7'], specific=[],
single=[0], all_double=[0], r_double=[0], o_double=[0], s_double=[0], triple=[0], quadruple=[0], benzene=[0], lone_pairs=[0], charge=[1])
@@ -711,7 +711,7 @@ def get_features(self):
ATOMTYPES['R!H'].set_actions(increment_bond=['R!H'], decrement_bond=['R!H'], form_bond=['R!H'], break_bond=['R!H'], increment_radical=['R!H'], decrement_radical=['R!H'], increment_lone_pair=['R!H'], decrement_lone_pair=['R!H'], increment_charge=['R!H'], decrement_charge=['R!H'])
ATOMTYPES['R!H!Val7'].set_actions(increment_bond=['R!H!Val7'], decrement_bond=['R!H!Val7'], form_bond=['R!H!Val7'], break_bond=['R!H!Val7'], increment_radical=['R!H!Val7'], decrement_radical=['R!H!Val7'], increment_lone_pair=['R!H!Val7'], decrement_lone_pair=['R!H!Val7'], increment_charge=[], decrement_charge=[])
ATOMTYPES['Val4'].set_actions(increment_bond=['Val4'], decrement_bond=['Val4'], form_bond=['Val4'], break_bond=['Val4'], increment_radical=['Val4'], decrement_radical=['Val4'], increment_lone_pair=['Val4'], decrement_lone_pair=['Val4'],increment_charge=[], decrement_charge=[])
-ATOMTYPES['Val5'].set_actions(increment_bond=['Val5'], decrement_bond=['Val5'], form_bond=['Val5'], break_bond=['Val5'], increment_radical=['Val5'], decrement_radical=['Val5'], increment_lone_pair=['Val5'], decrement_lone_pair=['Val5'],increment_charge=[], decrement_charge=[])
+ATOMTYPES['Val5'].set_actions(increment_bond=['Val5'], decrement_bond=['Val5'], form_bond=['Val5'], break_bond=['Val5'], increment_radical=['Val5'], decrement_radical=['Val5'], increment_lone_pair=['Val5'], decrement_lone_pair=['Val5'],increment_charge=['Val5'], decrement_charge=['Val5'])
ATOMTYPES['Val6'].set_actions(increment_bond=['Val6'], decrement_bond=['Val6'], form_bond=['Val6'], break_bond=['Val6'], increment_radical=['Val6'], decrement_radical=['Val6'], increment_lone_pair=['Val6'], decrement_lone_pair=['Val6'],increment_charge=[], decrement_charge=[])
ATOMTYPES['Val7'].set_actions(increment_bond=['Val7'], decrement_bond=['Val7'], form_bond=['Val7'], break_bond=['Val7'], increment_radical=['Val7'], decrement_radical=['Val7'], increment_lone_pair=['Val7'], decrement_lone_pair=['Val7'],increment_charge=[], decrement_charge=[])
@@ -720,7 +720,7 @@ def get_features(self):
ATOMTYPES['H+'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=['H0'])
ATOMTYPES['Li'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li'], break_bond=['Li'], increment_radical=['Li'], decrement_radical=['Li'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li'], decrement_charge=['Li'])
-ATOMTYPES['Li0'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li0'], break_bond=['Li0'], increment_radical=['Li0'], decrement_radical=['H0'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li+'], decrement_charge=[])
+ATOMTYPES['Li0'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['Li0'], break_bond=['Li0'], increment_radical=['Li0'], decrement_radical=['Li0'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=['Li+'], decrement_charge=[])
ATOMTYPES['Li+'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=['Li0'])
ATOMTYPES['He'].set_actions(increment_bond=[], decrement_bond=[], form_bond=[], break_bond=[], increment_radical=['He'], decrement_radical=['He'], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=[])
@@ -746,7 +746,7 @@ def get_features(self):
ATOMTYPES['C2tc'].set_actions(increment_bond=[], decrement_bond=['C2d'], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=['Ct'], increment_charge=[], decrement_charge=[])
ATOMTYPES['Cq'].set_actions(increment_bond=[], decrement_bond=['Ct'], form_bond=[], break_bond=[], increment_radical=[], decrement_radical=[], increment_lone_pair=[], decrement_lone_pair=[], increment_charge=[], decrement_charge=[])
-ATOMTYPES['N'].set_actions(increment_bond=['N'], decrement_bond=['N'], form_bond=['N'], break_bond=['N'], increment_radical=['N'], decrement_radical=['N'], increment_lone_pair=['N'], decrement_lone_pair=['N'],increment_charge=[], decrement_charge=[])
+ATOMTYPES['N'].set_actions(increment_bond=['N'], decrement_bond=['N'], form_bond=['N'], break_bond=['N'], increment_radical=['N'], decrement_radical=['N'], increment_lone_pair=['N'], decrement_lone_pair=['N'],increment_charge=['N'], decrement_charge=['N'])
ATOMTYPES['N0sc'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['N0sc'], break_bond=['N0sc'], increment_radical=['N0sc'], decrement_radical=['N0sc'], increment_lone_pair=[], decrement_lone_pair=['N1s', 'N1sc'],increment_charge=[], decrement_charge=[])
ATOMTYPES['N1s'].set_actions(increment_bond=['N1dc'], decrement_bond=[], form_bond=['N1s'], break_bond=['N1s'], increment_radical=['N1s'], decrement_radical=['N1s'], increment_lone_pair=['N0sc'], decrement_lone_pair=['N3s', 'N3sc'],increment_charge=[], decrement_charge=[])
ATOMTYPES['N1sc'].set_actions(increment_bond=[], decrement_bond=[], form_bond=['N1sc'], break_bond=['N1sc'], increment_radical=['N1sc'], decrement_radical=['N1sc'], increment_lone_pair=[], decrement_lone_pair=['N3s', 'N3sc'],increment_charge=[], decrement_charge=[])
@@ -911,7 +911,7 @@ def get_atomtype(atom, bonds):
# Use element and counts to determine proper atom type
atom_symbol = atom.symbol
- # These elements do not do not have a more specific atomtype
+ # These elements do not have a more specific atomtype
if atom_symbol in nonSpecifics:
return ATOMTYPES[atom_symbol]
diff --git a/rmgpy/molecule/atomtypedatabase.py b/rmgpy/molecule/atomtypedatabase.py
index 9f4c9cf79e8..4cfaf6b50a7 100644
--- a/rmgpy/molecule/atomtypedatabase.py
+++ b/rmgpy/molecule/atomtypedatabase.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/converter.pxd b/rmgpy/molecule/converter.pxd
index 25752cfd2d3..bb1ef32a16b 100644
--- a/rmgpy/molecule/converter.pxd
+++ b/rmgpy/molecule/converter.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -29,7 +29,7 @@ cimport rmgpy.molecule.molecule as mm
cimport rmgpy.molecule.element as elements
-cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, bint sanitize=*, bint save_order=?)
+cpdef to_rdkit_mol(mm.Molecule mol, bint remove_h=*, bint return_mapping=*, object sanitize=*, bint save_order=?, bint ignore_bond_orders=?)
cpdef mm.Molecule from_rdkit_mol(mm.Molecule mol, object rdkitmol, bint raise_atomtype_exception=?)
diff --git a/rmgpy/molecule/converter.py b/rmgpy/molecule/converter.py
index 7182b204998..2585690d749 100644
--- a/rmgpy/molecule/converter.py
+++ b/rmgpy/molecule/converter.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -38,6 +38,7 @@
import cython
# Assume that rdkit is installed
from rdkit import Chem
+from rdkit.Chem.rdchem import KekulizeException, AtomKekulizeException
# Test if openbabel is installed
try:
from openbabel import openbabel
@@ -49,7 +50,8 @@
from rmgpy.exceptions import DependencyError
-def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_order=False):
+def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True,
+ save_order=False, ignore_bond_orders=False):
"""
Convert a molecular structure to a RDKit rdmol object. Uses
`RDKit `_ to perform the conversion.
@@ -57,47 +59,52 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o
If return_mapping==True then it also returns a dictionary mapping the
atoms to RDKit's atom indices.
+
+ If ignore_bond_orders==True, all bonds are converted to unknown bonds, and
+ sanitization is skipped. This is helpful when all you want is ring perception,
+ for example. Must also set sanitize=False.
"""
- from rmgpy.molecule.fragment import Fragment
+ if ignore_bond_orders and sanitize:
+ raise ValueError("If ignore_bond_orders is True, sanitize must be False")
+ from rmgpy.molecule.fragment import Fragment, CuttingLabel
# Sort the atoms before converting to ensure output is consistent
# between different runs
if not save_order:
mol.sort_atoms()
atoms = mol.vertices
rd_atom_indices = {} # dictionary of RDKit atom indices
- label_dict = {} # store label of atom for Framgent
+ label_dict = {} # For fragment cutting labels. Key is rdkit atom index, value is label string
rdkitmol = Chem.rdchem.EditableMol(Chem.rdchem.Mol())
for index, atom in enumerate(mol.vertices):
if atom.element.symbol == 'X':
rd_atom = Chem.rdchem.Atom('Pt') # not sure how to do this with linear scaling when this might not be Pt
+ elif atom.element.symbol in ['R', 'L']:
+ rd_atom = Chem.rdchem.Atom(0)
else:
rd_atom = Chem.rdchem.Atom(atom.element.symbol)
if atom.element.isotope != -1:
rd_atom.SetIsotope(atom.element.isotope)
rd_atom.SetNumRadicalElectrons(atom.radical_electrons)
rd_atom.SetFormalCharge(atom.charge)
- if atom.element.symbol == 'C' and atom.lone_pairs == 1 and mol.multiplicity == 1: rd_atom.SetNumRadicalElectrons(
- 2)
+ if atom.element.symbol == 'C' and atom.lone_pairs == 1 and mol.multiplicity == 1:
+ rd_atom.SetNumRadicalElectrons(2)
rdkitmol.AddAtom(rd_atom)
if remove_h and atom.symbol == 'H':
pass
else:
rd_atom_indices[atom] = index
- # Check if a cutting label is present. If preserve this so that it is added to the SMILES string
- # Fragment's representative species is Molecule (with CuttingLabel replaced by Si but label as CuttingLabel)
- # so we use detect_cutting_label to check atom.label
- _, cutting_label_list = Fragment().detect_cutting_label(atom.label)
- if cutting_label_list != []:
- saved_index = index
- label = atom.label
- if label in label_dict:
- label_dict[label].append(saved_index)
- else:
- label_dict[label] = [saved_index]
+ # Save cutting labels to add to the SMILES string
+ if atom.label and atom.label in ('R', 'L'):
+ label_dict[index] = atom.label
+
rd_bonds = Chem.rdchem.BondType
- orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE, 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC,
- 'Q': rd_bonds.QUADRUPLE}
+ # no vdW bond in RDKit, so use UNSPECIFIED
+ orders = {'S': rd_bonds.SINGLE, 'D': rd_bonds.DOUBLE,
+ 'T': rd_bonds.TRIPLE, 'B': rd_bonds.AROMATIC,
+ 'Q': rd_bonds.QUADRUPLE, 'vdW': rd_bonds.UNSPECIFIED,
+ 'H': rd_bonds.HYDROGEN, 'R': rd_bonds.UNSPECIFIED,
+ None: rd_bonds.UNSPECIFIED}
# Add the bonds
for atom1 in mol.vertices:
for atom2, bond in atom1.edges.items():
@@ -106,23 +113,31 @@ def to_rdkit_mol(mol, remove_h=True, return_mapping=False, sanitize=True, save_o
index1 = atoms.index(atom1)
index2 = atoms.index(atom2)
if index1 < index2:
- order_string = bond.get_order_str()
- order = orders[order_string]
+ if ignore_bond_orders:
+ order = rd_bonds.UNSPECIFIED
+ else:
+ order_string = bond.get_order_str()
+ order = orders[order_string]
rdkitmol.AddBond(index1, index2, order)
# Make editable mol into a mol and rectify the molecule
rdkitmol = rdkitmol.GetMol()
- if label_dict:
- for label, ind_list in label_dict.items():
- for ind in ind_list:
- Chem.SetSupplementalSmilesLabel(rdkitmol.GetAtomWithIdx(ind), label)
+ for index, label in label_dict.items():
+ Chem.SetSupplementalSmilesLabel(rdkitmol.GetAtomWithIdx(index), label)
for atom in rdkitmol.GetAtoms():
if atom.GetAtomicNum() > 1:
atom.SetNoImplicit(True)
- if sanitize:
- Chem.SanitizeMol(rdkitmol)
if remove_h:
- rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=sanitize)
+ rdkitmol = Chem.RemoveHs(rdkitmol, sanitize=False) # skip sanitization here, do it later if requested
+ if sanitize == True:
+ Chem.SanitizeMol(rdkitmol)
+ elif sanitize == "partial":
+ try:
+ Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES)
+ except (KekulizeException, AtomKekulizeException):
+ logging.warning("Kekulization failed; sanitizing without Kekulize")
+ Chem.SanitizeMol(rdkitmol, sanitizeOps=Chem.SANITIZE_ALL ^ Chem.SANITIZE_PROPERTIES ^ Chem.SANITIZE_KEKULIZE)
+
if return_mapping:
return rdkitmol, rd_atom_indices
return rdkitmol
diff --git a/rmgpy/molecule/draw.py b/rmgpy/molecule/draw.py
index ad6f0e60701..ed4a1904b0d 100644
--- a/rmgpy/molecule/draw.py
+++ b/rmgpy/molecule/draw.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -155,7 +155,7 @@ def clear(self):
self.surface = None
self.cr = None
- def draw(self, molecule, file_format, target=None):
+ def draw(self, molecule, file_format, target=None, use_rdkit=True):
"""
Draw the given `molecule` using the given image `file_format` - pdf, svg, ps, or
png. If `path` is given, the drawing is saved to that location on disk. The
@@ -165,6 +165,9 @@ def draw(self, molecule, file_format, target=None):
This function returns the Cairo surface and context used to create the
drawing, as well as a bounding box for the molecule being drawn as the
tuple (`left`, `top`, `width`, `height`).
+
+ If `use_rdkit` is True, then the RDKit 2D coordinate generation is used to generate the coordinates.
+ If `use_rdkit` is False, then the molecule is drawn using our (deprecated) original algorithm.
"""
# The Cairo 2D graphics library (and its Python wrapper) is required for
@@ -219,13 +222,13 @@ def draw(self, molecule, file_format, target=None):
if molecule.contains_surface_site():
try:
self._connect_surface_sites()
- self._generate_coordinates()
+ self._generate_coordinates(use_rdkit=use_rdkit)
self._disconnect_surface_sites()
except AdsorbateDrawingError as e:
self._disconnect_surface_sites()
- self._generate_coordinates(fix_surface_sites=False)
+ self._generate_coordinates(fix_surface_sites=False, use_rdkit=use_rdkit)
else:
- self._generate_coordinates()
+ self._generate_coordinates(use_rdkit=use_rdkit)
self._replace_bonds(old_bond_dictionary)
# Generate labels to use
@@ -341,7 +344,7 @@ def _find_ring_groups(self):
if not found:
self.ringSystems.append([cycle])
- def _generate_coordinates(self, fix_surface_sites=True):
+ def _generate_coordinates(self, fix_surface_sites=True, use_rdkit=True):
"""
Generate the 2D coordinates to be used when drawing the current
molecule. The function uses rdKits 2D coordinate generation.
@@ -372,15 +375,42 @@ def _generate_coordinates(self, fix_surface_sites=True):
self.coordinates[1, :] = [0.5, 0.0]
return self.coordinates
- # Decide whether we can use RDKit or have to generate coordinates ourselves
- for atom in self.molecule.atoms:
- if atom.charge != 0:
- use_rdkit = False
- break
- else: # didn't break
- use_rdkit = True
+ if use_rdkit == True:
+ # Use RDKit 2D coordinate generation:
+ # Generate the RDkit molecule from the RMG molecule, saving mapping
+ # in order to match the atoms in the rdmol with the atoms in the
+ # RMG molecule (which is required to extract coordinates).
+ #
+ # partial sanitization is used to allow molecules to fail RDKit's
+ # bond order and implicit hydrogen assignments, and possibly also
+ # RDKit's aromaticity perception, while still drawing the molecule.
+ # this can happen because RMG uses partial bond orders and atom types
+ # that RDKit doesn't understand, though RDKit can still generate
+ # coordinates for the molecule.
+ rdmol, rd_atom_idx = self.molecule.to_rdkit_mol(remove_h=False,
+ return_mapping=True,
+ sanitize="partial")
+
+ AllChem.Compute2DCoords(rdmol)
+
+ # Extract the coordinates from each atom.
+ rd_conformer = rdmol.GetConformer(0)
+ for atom in atoms:
+ index = rd_atom_idx[atom]
+ point = rd_conformer.GetAtomPosition(index)
+ coordinates[index, :] = [point.x * 0.6, point.y * 0.6]
+
+ # RDKit generates some molecules more vertically than horizontally,
+ # especially linear ones. This will reflect any molecule taller than
+ # it is wide across the line y=x.
+ ranges = np.ptp(coordinates, axis=0)
+ if ranges[1] > ranges[0]:
+ temp = np.copy(coordinates)
+ coordinates[:, 0] = temp[:, 1]
+ coordinates[:, 1] = temp[:, 0]
- if not use_rdkit:
+ else:
+ logging.warning("Using deprecated molecule drawing algorithm; undesired behavior may occur. Consider using use_rdkit=True.")
if len(self.cycles) > 0:
# Cyclic molecule
backbone = self._find_cyclic_backbone()
@@ -438,32 +468,6 @@ def _generate_coordinates(self, fix_surface_sites=True):
# minimize likelihood of overlap
self._generate_neighbor_coordinates(backbone)
- else:
- # Use RDKit 2D coordinate generation:
-
- # Generate the RDkit molecule from the RDkit molecule, use geometry
- # in order to match the atoms in the rdmol with the atoms in the
- # RMG molecule (which is required to extract coordinates).
- self.geometry = Geometry(None, None, self.molecule, None)
-
- rdmol, rd_atom_idx = self.geometry.rd_build()
- AllChem.Compute2DCoords(rdmol)
-
- # Extract the coordinates from each atom.
- for atom in atoms:
- index = rd_atom_idx[atom]
- point = rdmol.GetConformer(0).GetAtomPosition(index)
- coordinates[index, :] = [point.x * 0.6, point.y * 0.6]
-
- # RDKit generates some molecules more vertically than horizontally,
- # Especially linear ones. This will reflect any molecule taller than
- # it is wide across the line y=x
- ranges = np.ptp(coordinates, axis=0)
- if ranges[1] > ranges[0]:
- temp = np.copy(coordinates)
- coordinates[:, 0] = temp[:, 1]
- coordinates[:, 1] = temp[:, 0]
-
# For surface species
if fix_surface_sites and self.molecule.contains_surface_site():
if len(self.molecule.atoms) == 1:
@@ -1211,7 +1215,7 @@ def _render_bond(self, atom1, atom2, bond, cr):
dv *= 1.6
self._draw_line(cr, x1 - du, y1 - dv, x2 - du, y2 - dv)
self._draw_line(cr, x1 + du, y1 + dv, x2 + du, y2 + dv, dashed=True)
- elif bond.is_hydrogen_bond():
+ elif bond.is_hydrogen_bond() or bond.is_van_der_waals():
# Draw a dashed line
self._draw_line(cr, x1, y1, x2, y2, dashed=True, dash_sizes=[0.5, 3.5])
else:
diff --git a/rmgpy/molecule/element.pxd b/rmgpy/molecule/element.pxd
index 81623e40928..33ddcb7d65d 100644
--- a/rmgpy/molecule/element.pxd
+++ b/rmgpy/molecule/element.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/element.py b/rmgpy/molecule/element.py
index 6ec975fcf94..86b38c4aa53 100644
--- a/rmgpy/molecule/element.py
+++ b/rmgpy/molecule/element.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -77,7 +77,7 @@ def __init__(self, number, symbol, name, mass, isotope=-1, chemkin_name=None):
self.name = name
self.mass = mass
self.isotope = isotope
- self.chemkin_name = chemkin_name or self.name
+ self.chemkin_name = chemkin_name or self.symbol
if symbol in {'X','L','R','e'}:
self.cov_radius = 0
else:
@@ -175,7 +175,7 @@ def get_element(value, isotope=-1):
# 'caesium')
# electron
-e = Element(-1, 'e', 'electron' , 5.486e-7)
+e = Element(-1, 'e', 'electron' , 5.486e-7, chemkin_name='E')
# Surface site
X = Element(0, 'X', 'surface_site' , 0.0)
diff --git a/rmgpy/molecule/filtration.py b/rmgpy/molecule/filtration.py
index dc310f036fc..bf94647d588 100644
--- a/rmgpy/molecule/filtration.py
+++ b/rmgpy/molecule/filtration.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -159,7 +159,7 @@ def get_octet_deviation(mol, allow_expanded_octet=True):
elif atom.lone_pairs >= 2:
octet_deviation += abs(8 - val_electrons) # octet on S p[2,3]
# eg [S][S], OS[O], [NH+]#[N+][S-][O-], O[S-](O)[N+]#N, S=[O+][O-]
- for atom2, bond in atom.bonds.items():
+ for atom2, bond in atom.edges.items():
if atom2.is_sulfur() and bond.is_triple():
octet_deviation += 0.5 # penalty for S#S substructures. Often times sulfur can have a triple
# bond to another sulfur in a structure that obeys the octet rule, but probably shouldn't be a
@@ -186,10 +186,11 @@ def octet_filtration(mol_list, octet_deviation_list):
charge-strained species are still kept (e.g., [NH]N=S=O <-> [NH+]#[N+][S-][O-]), we also generate during the same
loop a charge_span_list to keep track of the charge spans. This is used for further filtering.
"""
+ min_octet_deviation = min(octet_deviation_list)
filtered_list = []
charge_span_list = []
for index, mol in enumerate(mol_list):
- if octet_deviation_list[index] == min(octet_deviation_list):
+ if octet_deviation_list[index] == min_octet_deviation:
filtered_list.append(mol)
charge_span_list.append(mol.get_charge_span())
@@ -243,7 +244,7 @@ def charge_filtration(filtered_list, charge_span_list):
for atom in mol.vertices:
if atom.radical_electrons and int(atom.sorting_label) not in rad_sorting_list:
rad_sorting_list.append(int(atom.sorting_label))
- for atom2, bond in atom.bonds.items():
+ for atom2, bond in atom.edges.items():
# check if bond is multiple, store only from one side (atom1 < atom2) for consistency
if atom2.sorting_label > atom.sorting_label and bond.is_double() or bond.is_triple():
mul_bond_sorting_list.append((int(atom.sorting_label), int(atom2.sorting_label)))
@@ -278,7 +279,7 @@ def find_unique_sites_in_charged_list(mol, rad_sorting_list, mul_bond_sorting_li
for atom in mol.vertices:
if atom.radical_electrons and int(atom.sorting_label) not in rad_sorting_list:
return [mol]
- for atom2, bond in atom.bonds.items():
+ for atom2, bond in atom.edges.items():
if (atom2.sorting_label > atom.sorting_label and (bond.is_double() or bond.is_triple())
and (int(atom.sorting_label), int(atom2.sorting_label)) not in mul_bond_sorting_list
and not (atom.is_sulfur() and atom2.is_sulfur())):
@@ -295,13 +296,13 @@ def stabilize_charges_by_electronegativity(mol_list, allow_empty_list=False):
to ``True`` and all structures in `mol_list` violate the electronegativity heuristic, the original `mol_list`
is returned (examples: [C-]#[O+], CS, [NH+]#[C-], [OH+]=[N-], [C-][S+]=C violate this heuristic).
"""
- indices_to_pop = []
+ indices_to_pop = set()
mol_list_copy = list(mol_list)
for i, mol in enumerate(mol_list):
electroneg_positively_charged_atoms = electroneg_negatively_charged_atoms = 0
for atom in mol.vertices:
if atom.charge > 0:
- electroneg_positively_charged_atoms += PeriodicSystem.electronegativity[atom.symbol] * abs(atom.charge)
+ electroneg_positively_charged_atoms += PeriodicSystem.electronegativity[atom.element.symbol] * abs(atom.charge)
if atom.is_oxygen():
for atom2 in atom.edges.keys():
if atom2.is_fluorine() and atom2.charge < 0:
@@ -312,13 +313,13 @@ def stabilize_charges_by_electronegativity(mol_list, allow_empty_list=False):
# [C-]#[O+] and [O-][O+]=O, which are correct structures, also get penalized here, but that's OK
# since they are still eventually selected as representative structures according to the rules here.
elif atom.charge < 0:
- electroneg_negatively_charged_atoms += PeriodicSystem.electronegativity[atom.symbol] * abs(atom.charge)
+ electroneg_negatively_charged_atoms += PeriodicSystem.electronegativity[atom.element.symbol] * abs(atom.charge)
if electroneg_positively_charged_atoms > electroneg_negatively_charged_atoms:
# Filter structures in which more electronegative atoms are positively charged.
# This condition is NOT hermetic: It is possible to think of a situation where one structure has
# several pairs of formally charged atoms, where one of the pairs isn't obeying the
# electronegativity rule, while the sum of the pairs does.
- indices_to_pop.append(i)
+ indices_to_pop.add(i)
for i in reversed(range(len(mol_list))): # pop starting from the end, so indices won't change
if i in indices_to_pop:
mol_list.pop(i)
@@ -333,7 +334,7 @@ def stabilize_charges_by_proximity(mol_list):
Only keep structures that obey the charge proximity rule.
Opposite charges will be as close as possible to one another, and vice versa.
"""
- indices_to_pop = []
+ indices_to_pop = set()
charge_distance_list = [] # indices match mol_list
for i, mol in enumerate(mol_list):
# Try finding well-defined pairs of formally-charged atoms to apply the proximity principle
@@ -352,17 +353,18 @@ def stabilize_charges_by_proximity(mol_list):
cumulative_similar_charge_distance += len(find_shortest_path(atom1, atom2))
charge_distance_list.append([cumulative_opposite_charge_distance,
cumulative_similar_charge_distance])
- min_cumulative_opposite_charge_distance = min([distances[0] for distances in charge_distance_list]
- or [0]) # in Python 3 use `min(list, default=0)`
+ min_cumulative_opposite_charge_distance = min((distances[0] for distances in charge_distance_list),
+ default=0)
for i, distances in enumerate(charge_distance_list):
# after generating the charge_distance_list, iterate through it and mark structures to pop
if distances[0] > min_cumulative_opposite_charge_distance:
- indices_to_pop.append(i)
- max_cumulative_similar_charge_distance = max([distances[1] for i, distances in
- enumerate(charge_distance_list) if i not in indices_to_pop] or [0])
+ indices_to_pop.add(i)
+ max_cumulative_similar_charge_distance = max((distances[1] for i, distances in
+ enumerate(charge_distance_list) if i not in indices_to_pop),
+ default=0)
for i, distances in enumerate(charge_distance_list):
if distances[0] < max_cumulative_similar_charge_distance:
- indices_to_pop.append(i)
+ indices_to_pop.add(i)
for i in reversed(range(len(mol_list))): # pop starting from the end, so indices won't change
if i in indices_to_pop:
mol_list.pop(i)
@@ -401,7 +403,7 @@ def aromaticity_filtration(mol_list, features):
# Look for structures that don't have standard SDSDSD bond orders
for mol in other_list:
# Check all 6 membered rings
- rings = [ring for ring in mol.get_relevant_cycles() if len(ring) == 6]
+ rings = [ring for ring in mol.get_smallest_set_of_smallest_rings() if len(ring) == 6]
for ring in rings:
bond_list = mol.get_edges_in_cycle(ring)
bond_orders = ''.join([bond.get_order_str() for bond in bond_list])
@@ -425,8 +427,11 @@ def mark_unreactive_structures(filtered_list, mol_list, save_order=False):
# Make sure that the (first) original structure is always first in the list (unless it was filtered out).
# Important whenever Species.molecule[0] is expected to be used (e.g., training reactions) after generating
# resonance structures. However, if it was filtered out, it should be appended to the end of the list.
+ # mol_list[0] is constant across iterations, so copy it once. is_isomorphic with save_order=False can
+ # reorder atoms in either argument, so we still copy `filtered` per iteration to leave filtered_list intact.
+ original = mol_list[0].copy(deep=True)
for index, filtered in enumerate(filtered_list):
- if filtered.copy(deep=True).is_isomorphic(mol_list[0].copy(deep=True), save_order=save_order):
+ if filtered.copy(deep=True).is_isomorphic(original, save_order=save_order):
filtered_list.insert(0, filtered_list.pop(index))
break
else:
diff --git a/rmgpy/molecule/fragment.py b/rmgpy/molecule/fragment.py
index d4fa0acf4d2..8b6c92d51dd 100644
--- a/rmgpy/molecule/fragment.py
+++ b/rmgpy/molecule/fragment.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -490,51 +490,46 @@ def get_formula(self):
return formula
- def to_rdkit_mol(self, remove_h=False, return_mapping=True, save_order=False):
+ def to_rdkit_mol(self, **kwargs):
"""
- Convert a molecular structure to a RDKit rdmol object.
+ Convert a Fragment structure to a RDKit rdmol object.
+
+ Uses Fragment.get_representative_molecule to get a representative molecule,
+ and then uses converter.to_rdkit_mol to do the conversion.
+
+ Could change the order of atoms in the Fragment (self) to match the order of
+ representative_molecule.atoms, though that's probably the same.
"""
- if remove_h:
- # because we're replacing
- # cutting labels with hydrogens
- # so do not allow removeHs to be True
- raise "Currently fragment to_rdkit_mol only allows keeping all the hydrogens."
- mol0, mapping = self.get_representative_molecule("minimal", update=False)
+ if kwargs.get('remove_h', False):
+ # because we're replacing cutting labels with hydrogens
+ # do not allow removeHs to be True
+ raise ValueError("Currently Fragment to_rdkit_mol only allows keeping all the hydrogens.")
- rdmol, rdAtomIdx_mol0 = converter.to_rdkit_mol(
- mol0,
- remove_h=remove_h,
- return_mapping=return_mapping,
- sanitize=True,
- save_order=save_order,
- )
+ representative_molecule, fragment_to_mol_mapping = self.get_representative_molecule("minimal", update=False)
- rdAtomIdx_frag = {}
- for frag_atom, mol0_atom in mapping.items():
- rd_idx = rdAtomIdx_mol0[mol0_atom]
- rdAtomIdx_frag[frag_atom] = rd_idx
-
- # sync the order of fragment vertices with the order
- # of mol0.atoms since mol0.atoms is changed/sorted in
- # converter.to_rdkit_mol().
- # Since the rdmol's atoms order is same as the order of mol0's atoms,
- # the synchronization between fragment.atoms order and mol0.atoms order
- # is necessary to make sure the order of fragment vertices
- # reflects the order of rdmol's atoms
- vertices_order = []
- for v in self.vertices:
- a = mapping[v]
- idx = mol0.atoms.index(a)
- vertices_order.append((v, idx))
+ new_kwargs = {**kwargs} # make a copy of kwargs to avoid modifying the original one
+ new_kwargs["remove_h"] = False
+ new_kwargs["return_mapping"] = True # override user if needed
+ new_kwargs["save_order"] = True # override user if needed
+ rdmol, molecule_to_rdindex_mapping = converter.to_rdkit_mol(
+ representative_molecule,
+ **new_kwargs
+ )
- adapted_vertices = [
- tup[0] for tup in sorted(vertices_order, key=lambda tup: tup[1])
- ]
+ fragment_to_rdindex_mapping = {}
+ for fragment_atom, molecule_atom in fragment_to_mol_mapping.items():
+ rdmol_index = molecule_to_rdindex_mapping[molecule_atom]
+ fragment_to_rdindex_mapping[fragment_atom] = rdmol_index
- self.vertices = adapted_vertices
+ # Sort the Fragment (self) vertices according to the order of the RDKit molecule's atoms
+ # (rwest is not sure this is needed, but it was here so he's leaving it)
+ self.vertices.sort(key=lambda v: fragment_to_rdindex_mapping[v])
- return rdmol, rdAtomIdx_frag
+ if kwargs.get("return_mapping", False):
+ return rdmol, fragment_to_rdindex_mapping
+ else:
+ return rdmol
def from_adjacency_list(
self,
@@ -587,7 +582,7 @@ def get_aromatic_rings(self, rings=None, save_order=False):
"""
Returns all aromatic rings as a list of atoms and a list of bonds.
- Identifies rings using `Graph.get_smallest_set_of_smallest_rings()`, then uses RDKit to perceive aromaticity.
+ Identifies rings, then uses RDKit to perceive aromaticity.
RDKit uses an atom-based pi-electron counting algorithm to check aromaticity based on Huckel's Rule.
Therefore, this method identifies "true" aromaticity, rather than simply the RMG bond type.
@@ -600,7 +595,7 @@ def get_aromatic_rings(self, rings=None, save_order=False):
AROMATIC = BondType.AROMATIC
if rings is None:
- rings = self.get_relevant_cycles()
+ rings = self.get_smallest_set_of_smallest_rings()
rings = [ring for ring in rings if len(ring) == 6]
if not rings:
return [], []
@@ -681,9 +676,8 @@ def to_smiles(self):
mol_repr.atoms = smiles_before.vertices
mol_repr.update()
smiles_after = mol_repr.to_smiles()
- import re
- smiles = re.sub(r"\[Si-3\]", "", smiles_after)
+ smiles = smiles_after.replace("[Si-3]", "")
return smiles
@@ -767,6 +761,20 @@ def get_num_atoms(self, element=None):
num_atoms += 1
return num_atoms
+ def get_num_heavy_atoms(self):
+ """
+ Return the number of heavy atoms in the fragment, i.e. the number of
+ atoms that are not Hydrogen ('H') nor a surface site ('X'). Cutting
+ labels are not counted.
+ """
+ num_atoms = 0
+ for vertex in self.vertices:
+ if isinstance(vertex, CuttingLabel):
+ continue
+ if vertex.element.symbol != 'H' and vertex.element.symbol != 'X':
+ num_atoms += 1
+ return num_atoms
+
# extension methods
def from_rdkit_mol(self, rdkitmol, atom_replace_dict=None):
"""
@@ -911,7 +919,7 @@ def sliceitup_arom(self, molecule, size_threshold=None):
_, cutting_label_list = self.detect_cutting_label(molecule_smiles)
# transfer to rdkit molecule for substruct matching
f = self.from_smiles_like_string(molecule_smiles)
- molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol()
+ molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(remove_h=False, return_mapping=True)
# replace CuttingLabel to special Atom (metal) in rdkit
for atom, idx in rdAtomIdx_frag.items():
@@ -1037,7 +1045,7 @@ def sliceitup_aliph(self, molecule, size_threshold=None):
_, cutting_label_list = self.detect_cutting_label(molecule_smiles)
# transfer to rdkit molecule for substruct matching
f = self.from_smiles_like_string(molecule_smiles)
- molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol()
+ molecule_to_cut, rdAtomIdx_frag = f.to_rdkit_mol(remove_h=False, return_mapping=True)
# replace CuttingLabel to special Atom (metal) in rdkit
for atom, idx in rdAtomIdx_frag.items():
@@ -1297,8 +1305,9 @@ def from_smiles_like_string(self, smiles_like_string):
self.from_rdkit_mol(rdkitmol, atom_replace_dict)
return self
-
- def detect_cutting_label(self, smiles):
+
+ @staticmethod
+ def detect_cutting_label(smiles):
import re
from rmgpy.molecule.element import element_list
@@ -1805,6 +1814,12 @@ def assign_representative_species(self):
self.species_repr.symmetry_number = self.symmetry_number
def get_representative_molecule(self, mode="minimal", update=True):
+ """
+ Generate a representative molecule from the fragment.
+ The representative molecule is generated by replacing all CuttingLabel
+ atoms with hydrogen atoms.
+ """
+
if mode != "minimal":
raise RuntimeError(
'Fragment.get_representative_molecule onyl supports mode="minimal"'
diff --git a/rmgpy/molecule/fragment_utils.py b/rmgpy/molecule/fragment_utils.py
index 25fe5e5cb56..be195491dbc 100644
--- a/rmgpy/molecule/fragment_utils.py
+++ b/rmgpy/molecule/fragment_utils.py
@@ -1,11 +1,440 @@
-from rmgpy.molecule.fragment import Fragment
-from rmgpy.tools.canteramodel import Cantera
-from rmgpy.chemkin import load_chemkin_file
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+import random
import re
import os
import numpy as np
+import sys
import matplotlib.pyplot as plt
+from rmgpy.molecule import Bond
+from rmgpy.molecule.fragment import Fragment, CuttingLabel
+from rmgpy.tools.canteramodel import Cantera
+from rmgpy.chemkin import load_chemkin_file
+
+sys.setrecursionlimit(20000)
+
+class FragList():
+ '''
+ to instantiate a FragList:
+ fl = Fraglist(frag_list)
+ where frag_list is a list of tuples of fragments and their amounts
+ '''
+
+ def __init__(self, frag_list):
+ self.raw_fragment_output = frag_list
+
+ def sort(self):
+ '''
+ sort a FragList into
+ general_R_list - 2R fragments
+ general_L_list - 2L fragments
+ rr_ll_list - 2R or 2L fragments
+ r_l_moles - 1R and 1L fragments
+ multi_label_frag_3 - fragments with 3 cutting labels
+ multi_label_frag_4 - fragments with 4 cutting labels
+
+ note: in our experience fragments with more than 4 cutting labels has never happened, but a warning will be printed if it does happen
+ '''
+ moles_remain = []
+ one_R_dict = {}
+ one_L_dict = {}
+ general_R_list = []
+ general_L_list = []
+ rr_ll_list = []
+ r_l_moles = []
+ multi_label_frag_3 = []
+ multi_label_frag_4 = []
+
+ for i, item in enumerate(self.raw_fragment_output):
+ frag, amt = item
+ if amt > 1e-6 and '[' not in frag:
+ count_of_L_labels = len(re.findall(r'L', frag))
+ count_of_R_labels = len(re.findall(r'R', frag))
+ count_of_cutting_labels = count_of_L_labels + count_of_R_labels
+ if count_of_R_labels == 0 and count_of_L_labels == 0:
+ moles_remain.append((frag, amt))
+ elif count_of_R_labels == 1 and count_of_L_labels == 0:
+ one_R_dict[frag] = amt
+ elif count_of_R_labels == 2 and count_of_L_labels == 0:
+ general_R_list.append((frag, amt * 2))
+ rr_ll_list.append(frag)
+ elif count_of_R_labels == 0 and count_of_L_labels == 1:
+ one_L_dict[frag] = amt
+ elif count_of_R_labels == 0 and count_of_L_labels == 2:
+ general_L_list.append((frag, amt * 2))
+ rr_ll_list.append(frag)
+ elif count_of_R_labels == 1 and count_of_L_labels == 1:
+ r_l_moles.append((frag, amt))
+ else:
+ if count_of_cutting_labels == 3:
+ multi_label_frag_3.append(
+ (frag, amt)) # 2R1L, 1R2L, 3R, 3L
+ elif count_of_cutting_labels == 4:
+ multi_label_frag_4.append((frag, amt))
+ else:
+ print(
+ f"Warning! {count_of_cutting_labels} cutting labels in {frag}")
+ self.R1dict=one_R_dict
+ self.L1dict=one_L_dict
+ self.Rlist=general_R_list
+ self.Llist=general_L_list
+ self.RRLLlist=rr_ll_list
+ self.RLlist=r_l_moles
+ self.CL3=multi_label_frag_3
+ self.CL4=multi_label_frag_4
+ self.molesremain=moles_remain
+
+ def random_pick_frag(target_dict):
+ '''
+ argument(s): target_dict - dictionary where key = species smiles (fragment or molecule), value = moles
+ returns: tuple of randomly picked (fragment with 1 cutting label, moles)
+
+ choice is weighted by mole fraction of each fragment
+ '''
+ frag_dict_list=[x for x in target_dict.items() if len(
+ re.findall(r'[LR]', x[0])) == 1]
+ sum_dict=sum([x[1] for x in frag_dict_list])
+ frag_dict_prob=[x[1] / sum_dict for x in frag_dict_list]
+ item=np.random.choice(frag_dict_list, 1, p = frag_dict_prob)
+
+ return item
+
+ def pair_frag(amount, target_dict):
+ '''
+ argument(s): amount - maximum amount of fragments in one pair
+ target_dict - dictionary of species smiles and moles
+ returns: the target_dict with 1 randomly chosen 1-cutting label fragment fully paired with other randomly chosen 1-cutting label fragments
+ '''
+ additional_frag_list=[]
+ frag1=FragList.random_pick_frag(target_dict)
+
+ if target_dict[frag1] >= amount:
+ target_dict[frag1] -= amount
+ additional_frag_list.append((frag1, amount))
+
+ else:
+ remain=amount - target_dict[frag1]
+ additional_frag_list.append((frag1, amount))
+ target_dict[frag1]=0
+
+ while remain > 0:
+ frag1=FragList.random_pick_frag(target_dict)
+
+ if target_dict[frag1] >= remain:
+ target_dict[frag1] -= remain
+ additional_frag_list.append((frag1, remain))
+ remain=0
+
+ else:
+ frag_amt=target_dict[frag1]
+ target_dict[frag1]=0
+ additional_frag_list.append((frag1, frag_amt))
+ remain=remain - frag_amt
+ return additional_frag_list
+
+ def pair_CL4s(self):
+ '''
+ pairs all 4-cutting label fragments with other randomly picked 1-cutting label fragments, creating 3-cutting label fragments
+ '''
+
+ for species, amount in self.CL4: # 4R, 3R1L, 2R2L, 1R3L, 4L
+ ount_of_R_labels=len(re.findall(r'R', species))
+ count_of_L_labels=len(re.findall(r'L', species))
+ if count_of_R_labels == 4 and count_of_L_labels == 0:
+ paired_frag_list=FragList.pair_frag(amount, self.L1dict)
+ for frag_amt in paired_frag_list:
+ frag=frag_amt[0]
+ amt=frag_amt[1]
+ frag1=frag # 1L
+ frag2=species # 4R
+ frag_new=merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3
+ self.CL3.append((frag_new, amt))
+
+ elif count_of_R_labels == 0 and count_of_L_labels == 4:
+ paired_frag_list = FragList.pair_frag(amount, self.R1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1R
+ frag2 = species # 4L
+ frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3L
+ self.CL3.append((frag_new, amt))
+
+ elif count_of_R_labels == 2 and count_of_L_labels == 2:
+ paired_frag_list = FragList.pair_frag(amount, self.L1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1L
+ frag2 = species # 2R2L
+ frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 1R2L
+ self.CL3.append((frag_new, amt))
+
+ elif count_of_R_labels == 3 and count_of_L_labels == 1:
+ paired_frag_list = FragList.pair_frag(amount, self.R1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1R
+ frag2 = species # 3R1L
+ frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R -> 3R
+ self.CL3.append((frag_new, amt))
+
+ elif count_of_R_labels == 1 and count_of_L_labels == 3:
+ paired_frag_list = FragList.pair_frag(amount, self.L1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1L
+ frag2 = species # 1R3L
+ frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R -> 3L
+ self.CL3.append((frag_new, amt))
+
+ def pair_CL3s(self):
+ '''
+ pairs all 3-cutting label fragments with other randomly picked 1-cutting label fragments, creating 2-cutting label fragments
+ '''
+
+ for species, amount in self.CL3:
+ count_of_R_labels = len(re.findall(r'R', species))
+ count_of_L_labels = len(re.findall(r'L', species))
+ if count_of_R_labels == 2 and count_of_L_labels == 1:
+ paired_frag_list = FragList.pair_frag(amount, self.R1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1R
+ frag2 = species # 2R1L
+ frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R
+ self.Rlist.append((frag_new, amt * 2))
+ self.RRLLlist.append(frag_new)
+
+ elif count_of_R_labels == 1 and count_of_L_labels == 2:
+ paired_frag_list = FragList.pair_frag(amount, self.L1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1L
+ frag2 = species # 1R2L
+ frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R
+ self.Llist.append((frag_new, amt * 2))
+ self.RRLLlist.append(frag_new)
+
+ elif count_of_R_labels == 3 and count_of_L_labels == 0:
+ paired_frag_list = FragList.pair_frag(amount, self.L1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1L
+ frag2 = species # 3R
+ frag_new = merge_frag_to_frag(frag1, frag2, 'R') # L,R,R
+ self.Rlist.append((frag_new, amt * 2))
+ self.RRLLlist.append(frag_new)
+
+ # 3L
+ elif count_of_R_labels == 0 and count_of_L_labels == 3:
+ paired_frag_list = FragList.pair_frag(amount, self.R1dict)
+ for frag_amt in paired_frag_list:
+ frag = frag_amt[0]
+ amt = frag_amt[1]
+ frag1 = frag # 1R
+ frag2 = species # 3L
+ frag_new = merge_frag_to_frag(frag2, frag1, 'R') # L,R,R
+ self.Llist.append((frag_new, amt * 2))
+ self.RRLLlist.append(frag_new)
+
+ def update_lists(self):
+ '''
+ adds the 1-cuttinglabel fragments remaining after pairing 4- and 3-cutting label fragments to their corresponding list
+ '''
+ for one_R_frag, amt in self.R1dict.items():
+ self.Rlist.append((one_R_frag, amt))
+ for one_L_frag, amt in self.L1dict.items():
+ self.Llist.append((one_L_frag, amt))
+
+ def grind(conc, size):
+ '''
+ Split fragment concentrations into several repeating concentration units with specified size
+ '''
+ grinded_conc = []
+ for label, c in conc:
+ times = int(c / size)
+ grinded_conc.extend([(label, size)] * times)
+
+ if c - size * times > 0:
+ grinded_conc.append((label, c - size * times))
+
+ return grinded_conc
+
+
+ def grind_endcaps(self, grindsize=1, repeats=1):
+ '''
+ splits each fragment concentration in to many subconcentrations of a maximum of grindsize
+ '''
+ print('grinding endcaps to {}'.format(grindsize))
+ self.repeats = repeats
+ if self.repeats == 1:
+ self.grindsize = grindsize
+ seed = np.random.randint(0, 100)
+ grmoles = FragList.grind(self.Rlist, self.grindsize)
+ glmoles = FragList.grind(self.Llist, self.grindsize)
+ self.glmoles = shuffle(glmoles, seed)
+ self.grmoles = shuffle(grmoles, seed+1)
+ else:
+ print('repeats > 1 not supported')
+
+ def pair_endcaps(self):
+ '''
+ randomly pairs subconcentrations of endcaps and assigns the correct amount for each pair
+ 2L and 2R fragments will be paired with 2 1-cuttinglabel fragments
+ the remaining fragment subconcentrations are middle pieces
+ '''
+ matches = match_concentrations_with_same_sums(self.glmoles,
+ self.grmoles,
+ rtol=1e-3)
+ self.endcaps = []
+ self.middles = []
+ for match in matches:
+ pair = match[0]
+ value = match[1]
+ if value > 0.0:
+ lfrag, rfrag = pair
+ if lfrag not in self.RRLLlist:
+ if rfrag not in self.RRLLlist:
+ self.endcaps.append((pair, value))
+ elif rfrag in self.RRLLlist:
+ self.endcaps.append(((lfrag, rfrag, lfrag), value/2))
+ else:
+ raise Error
+ elif lfrag in self.RRLLlist:
+ if rfrag not in self.RRLLlist:
+ self.endcaps.append(((rfrag, lfrag, rfrag), value/2))
+ elif rfrag in self.RRLLlist:
+ self.middles.append((pair, value/2))
+ else:
+ raise Error
+ else:
+ raise Error
+
+ def grind_middles(self):
+ '''
+ grinds the middle 1L1R fragments into subconcentrations
+ the same grindsize is used as for the endcaps
+ '''
+ print('grinding middle pieces to {}'.format(self.grindsize))
+ if self.repeats == 1:
+ grinded_r_l_moles = FragList.grind(self.RLlist, self.grindsize)
+ seed = np.random.randint(0, 100)
+ self.middles = self.middles + \
+ shuffle(grinded_r_l_moles, seed)
+ else:
+ print('repeats > 1 not supported')
+
+ def distribute_middles(self):
+ '''
+ loop through the middle pieces
+ randomly pick an endcap pair to add to
+ repeat until no more middle pieces
+ '''
+
+ r_l_frag_distri_amt = [0 for i in range(len(self.endcaps))]
+ r_l_frag_distri_dict = [{} for i in range(len(self.endcaps))]
+ for i, r_l_tup in enumerate(self.middles):
+ r_l_frag = r_l_tup[0]
+ r_l_frag_amount = r_l_tup[1]
+ rand_idx = random.randrange(len(self.endcaps))
+ threshold = 1e-15
+ while self.endcaps[rand_idx][1] <= threshold:
+ rand_idx = random.randrange(len(self.endcaps))
+ r_l_frag_distri_amt[rand_idx] += r_l_frag_amount
+ r_l_dict = r_l_frag_distri_dict[rand_idx]
+ if r_l_frag in r_l_dict.keys():
+ r_l_dict[r_l_frag] += r_l_frag_amount
+ else:
+ r_l_dict[r_l_frag] = r_l_frag_amount
+ matches_random = []
+ for i in range(len(self.endcaps)):
+ pair = self.endcaps[i]
+ if r_l_frag_distri_dict[i].keys():
+ r_l_matched = []
+ for r_l_frag, amt in r_l_frag_distri_dict[i].items():
+ r_l_matched.append((r_l_frag, amt))
+ match_list = match_concentrations_with_different_sums([
+ pair], r_l_matched)
+ for tups in match_list:
+ matches_random.append(tups)
+ else:
+ matches_random.append(pair)
+ flattened_matches_random = [
+ (tuple(flatten(m[0])), m[1]) for m in matches_random]
+
+ self.grouped = []
+
+ for non_cut_mole, val in self.molesremain:
+ self.grouped.append(((non_cut_mole, ), val))
+
+ self.grouped.extend(flattened_matches_random)
+
+ def get_mwd(self, bins=10, fname='mwd.png'):
+ '''
+ loop through molecules i.e. grouped fragments
+ calculate molecular weight
+ create histogram of molecular weights, weighted by molar amount
+ store histogram data in histdata
+ '''
+ self.mwd_amts = [x[1] for x in self.grouped]
+ self.mwd_mws = []
+ for fraglist, amt in self.grouped:
+ mw = sum([Fragment().from_smiles_like_string(
+ frag).get_molecular_weight()*1000 for frag in fraglist])
+ self.mwd_mws.append(mw)
+
+ self.histdata = plt.hist(
+ self.mwd_mws, bins=bins, weights=self.mwd_amts)
+ plt.xlabel("Molecular Weight (g/mol)")
+ plt.ylabel("Moles")
+
+ def reattach(self, grindsize = 1):
+ '''
+ this parent function combines the steps of reattachment into one
+ '''
+ self.sort() # sort the fragments by number and type of cutting labels
+ self.pair_CL4s() # reattach 4-cutting label fragments to make 3-cutting label fragments
+ self.pair_CL3s() # reattach 3-cutting label fragments to make 2-cutting label fragments
+ self.update_lists() # add 1-cutting label fragments to either Rlist or Llist
+ self.grind_endcaps(grindsize=grindsize) # grind the concentrations of fragments into smaller sub-concentrations
+ self.pair_endcaps() # pair together 1R and 1L fragments to make endcap pairs
+ self.grind_middles() # grind the concentrations of middle LR fragments into smaller sub-concentrations of same size as above
+ self.distribute_middles() # randomly select an endcap pair for each middle LR fragment
+ return self
def match_sequences(seq1, seq2, rtol=1e-6):
'''
@@ -98,7 +527,7 @@ def match_concentrations_with_same_sums(conc1, conc2, rtol=1e-6):
seq1 = [tup[1] for tup in conc1]
seq2 = [tup[1] for tup in conc2]
- matches_seq = FragList.match_sequences(seq1, seq2, rtol)
+ matches_seq = match_sequences(seq1, seq2, rtol)
matches_conc = []
for match_seq in matches_seq:
@@ -184,7 +613,7 @@ def match_concentrations_with_different_sums(conc1, conc2):
# let matches_conc match with remaining seq2
elif pin1 == len(seq1) and pin2 < len(seq2):
remain_conc2 = [(labels2[pin2], val2)] + conc2[(pin2 + 1):]
- matches_conc = FragList.match_concentrations_with_different_sums(
+ matches_conc = match_concentrations_with_different_sums(
matches_conc, remain_conc2
)
@@ -216,7 +645,7 @@ def flatten(combo):
return_list = []
for i in combo:
if isinstance(i, tuple):
- return_list.extend(FragList.flatten(i))
+ return_list.extend(flatten(i))
else:
return_list.append(i)
return return_list
@@ -224,8 +653,6 @@ def flatten(combo):
# label should match the desired merging l/'abel on frag2
def merge_frag_to_frag(frag1, frag2, label):
- from rmgpy.molecule import Bond
- from rmgpy.molecule.fragment import Fragment, CuttingLabel
frag_spe1 = Fragment().from_smiles_like_string(frag1)
frag_spe2 = Fragment().from_smiles_like_string(frag2)
@@ -264,7 +691,6 @@ def merge_frag_to_frag(frag1, frag2, label):
def merge_frag_list(to_be_merged):
- import os
# merges fragments in list from right to left
species_list = []
ethylene = []
@@ -278,10 +704,10 @@ def merge_frag_list(to_be_merged):
frag2 = to_be_merged[-1].smiles # last fragment in list
if 'R' in frag1 and 'L' in frag2:
- newfrag = FragList.merge_frag_to_frag(frag1, frag2, 'L')
+ newfrag = merge_frag_to_frag(frag1, frag2, 'L')
elif 'L' in frag1 and 'R' in frag2:
- newfrag = FragList.merge_frag_to_frag(frag1, frag2, 'R')
+ newfrag = merge_frag_to_frag(frag1, frag2, 'R')
# warn user if last two fragments in list cannot be merged (no R/L
# combo to be made)
@@ -290,7 +716,7 @@ def merge_frag_list(to_be_merged):
frag1, frag2))
if 'L' in frag1 and 'L' in frag2:
- newfrag = FragList.merge_frag_to_frag(
+ newfrag = merge_frag_to_frag(
frag1.replace('L', 'R'), frag2, 'L')
if len(to_be_merged) > 2:
cut = len(to_be_merged) - 2
@@ -308,5 +734,4 @@ def merge_frag_list(to_be_merged):
# structure to list of smiles structures
# print('{}% of fragments fully merged...'.format(np.round(100*(i+1)/len(flattened_matches_random)),1))
-# print(newfraglist)
return newfraglist
diff --git a/rmgpy/molecule/graph.pxd b/rmgpy/molecule/graph.pxd
index 696aa0b07da..26a4dac3e4b 100644
--- a/rmgpy/molecule/graph.pxd
+++ b/rmgpy/molecule/graph.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -127,16 +127,6 @@ cdef class Graph(object):
cpdef bint _is_chain_in_cycle(self, list chain) except -2
cpdef list get_all_cyclic_vertices(self)
-
- cpdef list get_all_polycyclic_vertices(self)
-
- cpdef list get_polycycles(self)
-
- cpdef list get_monocycles(self)
-
- cpdef tuple get_disparate_cycles(self)
-
- cpdef tuple _merge_cycles(self, list cycle_sets)
cpdef list get_all_cycles(self, Vertex starting_vertex)
@@ -146,13 +136,7 @@ cdef class Graph(object):
cpdef list _explore_cycles_recursively(self, list chain, list cycles)
- cpdef list get_smallest_set_of_smallest_rings(self)
-
- cpdef list get_relevant_cycles(self)
-
cpdef list sort_cyclic_vertices(self, list vertices)
-
- cpdef int get_max_cycle_overlap(self)
cpdef list get_largest_ring(self, Vertex vertex)
diff --git a/rmgpy/molecule/graph.pyx b/rmgpy/molecule/graph.pyx
index 207470c4e52..9d958f18f31 100644
--- a/rmgpy/molecule/graph.pyx
+++ b/rmgpy/molecule/graph.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -35,8 +35,6 @@ are the components of a graph.
import itertools
-import py_rdl
-
from rmgpy.molecule.vf2 cimport VF2
################################################################################
@@ -623,178 +621,6 @@ cdef class Graph(object):
cyclic_vertices.append(vertex)
return cyclic_vertices
- cpdef list get_all_polycyclic_vertices(self):
- """
- Return all vertices belonging to two or more cycles, fused or spirocyclic.
- """
- cdef list sssr, vertices, polycyclic_vertices
- sssr = self.get_smallest_set_of_smallest_rings()
- polycyclic_vertices = []
- if sssr:
- vertices = []
- for cycle in sssr:
- for vertex in cycle:
- if vertex not in vertices:
- vertices.append(vertex)
- else:
- if vertex not in polycyclic_vertices:
- polycyclic_vertices.append(vertex)
- return polycyclic_vertices
-
- cpdef list get_polycycles(self):
- """
- Return a list of cycles that are polycyclic.
- In other words, merge the cycles which are fused or spirocyclic into
- a single polycyclic cycle, and return only those cycles.
- Cycles which are not polycyclic are not returned.
- """
- cdef list polycyclic_vertices, continuous_cycles, sssr
- cdef set polycyclic_cycle
- cdef Vertex vertex
-
- sssr = self.get_smallest_set_of_smallest_rings()
- if not sssr:
- return []
-
- polycyclic_vertices = self.get_all_polycyclic_vertices()
-
- if not polycyclic_vertices:
- # no polycyclic vertices detected
- return []
- else:
- # polycyclic vertices found, merge cycles together
- # that have common polycyclic vertices
- continuous_cycles = []
- for vertex in polycyclic_vertices:
- # First check if it is in any existing continuous cycles
- for cycle in continuous_cycles:
- if vertex in cycle:
- polycyclic_cycle = cycle
- break
- else:
- # Otherwise create a new cycle
- polycyclic_cycle = set()
- continuous_cycles.append(polycyclic_cycle)
-
- for cycle in sssr:
- if vertex in cycle:
- polycyclic_cycle.update(cycle)
-
- # convert each set to a list
- continuous_cycles = [list(cycle) for cycle in continuous_cycles]
- return continuous_cycles
-
- cpdef list get_monocycles(self):
- """
- Return a list of cycles that are monocyclic.
- """
- cdef list polycyclic_vertices, sssr, monocyclic_cycles, polycyclic_sssr
- cdef Vertex vertex
-
- sssr = self.get_smallest_set_of_smallest_rings()
- if not sssr:
- return []
-
- polycyclic_vertices = self.get_all_polycyclic_vertices()
-
- if not polycyclic_vertices:
- # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings
- # are monocyclic
- return sssr
-
- polycyclic_sssr = []
- for vertex in polycyclic_vertices:
- for cycle in sssr:
- if vertex in cycle:
- if cycle not in polycyclic_sssr:
- polycyclic_sssr.append(cycle)
-
- # remove the polycyclic cycles from the list of SSSR, leaving behind just the monocyclics
- monocyclic_cycles = sssr
- for cycle in polycyclic_sssr:
- monocyclic_cycles.remove(cycle)
- return monocyclic_cycles
-
- cpdef tuple get_disparate_cycles(self):
- """
- Get all disjoint monocyclic and polycyclic cycle clusters in the molecule.
- Takes the RC and recursively merges all cycles which share vertices.
-
- Returns: monocyclic_cycles, polycyclic_cycles
- """
- cdef list rc, cycle_list, cycle_sets, monocyclic_cycles, polycyclic_cycles
- cdef set cycle_set
-
- rc = self.get_relevant_cycles()
-
- if not rc:
- return [], []
-
- # Convert cycles to sets
- cycle_sets = [set(cycle_list) for cycle_list in rc]
-
- # Merge connected cycles
- monocyclic_cycles, polycyclic_cycles = self._merge_cycles(cycle_sets)
-
- # Convert cycles back to lists
- monocyclic_cycles = [list(cycle_set) for cycle_set in monocyclic_cycles]
- polycyclic_cycles = [list(cycle_set) for cycle_set in polycyclic_cycles]
-
- return monocyclic_cycles, polycyclic_cycles
-
- cpdef tuple _merge_cycles(self, list cycle_sets):
- """
- Recursively merges cycles that share common atoms.
-
- Returns one list with unmerged cycles and one list with merged cycles.
- """
- cdef list unmerged_cycles, merged_cycles, matched, u, m
- cdef set cycle, m_cycle, u_cycle
- cdef bint merged, new
-
- unmerged_cycles = []
- merged_cycles = []
-
- # Loop through each cycle
- for cycle in cycle_sets:
- merged = False
- new = False
-
- # Check if it's attached to an existing merged cycle
- for m_cycle in merged_cycles:
- if not m_cycle.isdisjoint(cycle):
- m_cycle.update(cycle)
- merged = True
- # It should only match one merged cycle, so we can break here
- break
- else:
- # If it doesn't match any existing merged cycles, initiate a new one
- m_cycle = cycle.copy()
- new = True
-
- # Check if the new merged cycle is attached to any of the unmerged cycles
- matched = []
- for i, u_cycle in enumerate(unmerged_cycles):
- if not m_cycle.isdisjoint(u_cycle):
- m_cycle.update(u_cycle)
- matched.append(i)
- merged = True
- # Remove matched cycles from list of unmerged cycles
- for i in reversed(matched):
- del unmerged_cycles[i]
-
- if merged and new:
- merged_cycles.append(m_cycle)
- elif not merged:
- unmerged_cycles.append(cycle)
-
- # If any rings were successfully merged, try to merge further
- if len(merged_cycles) > 1:
- u, m = self._merge_cycles(merged_cycles)
- merged_cycles = u + m
-
- return unmerged_cycles, merged_cycles
-
cpdef list get_all_cycles(self, Vertex starting_vertex):
"""
Given a starting vertex, returns a list of all the cycles containing
@@ -969,71 +795,6 @@ cdef class Graph(object):
# At this point we should have discovered all of the cycles involving the current chain
return cycles
- cpdef list get_smallest_set_of_smallest_rings(self):
- """
- Returns the smallest set of smallest rings as a list of lists.
- Uses RingDecomposerLib for ring perception.
-
- Kolodzik, A.; Urbaczek, S.; Rarey, M.
- Unique Ring Families: A Chemically Meaningful Description
- of Molecular Ring Topologies.
- J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021
-
- Flachsenberg, F.; Andresen, N.; Rarey, M.
- RingDecomposerLib: An Open-Source Implementation of
- Unique Ring Families and Other Cycle Bases.
- J. Chem. Inf. Model., 2017, 57 (2), pp 122-126
- """
- cdef list sssr
- cdef object graph, data, cycle
-
- graph = py_rdl.Graph.from_edges(
- self.get_all_edges(),
- _get_edge_vertex1,
- _get_edge_vertex2,
- )
-
- data = py_rdl.wrapper.DataInternal(graph.get_nof_nodes(), graph.get_edges().keys())
- data.calculate()
-
- sssr = []
- for cycle in data.get_sssr():
- sssr.append(self.sort_cyclic_vertices([graph.get_node_for_index(i) for i in cycle.nodes]))
-
- return sssr
-
- cpdef list get_relevant_cycles(self):
- """
- Returns the set of relevant cycles as a list of lists.
- Uses RingDecomposerLib for ring perception.
-
- Kolodzik, A.; Urbaczek, S.; Rarey, M.
- Unique Ring Families: A Chemically Meaningful Description
- of Molecular Ring Topologies.
- J. Chem. Inf. Model., 2012, 52 (8), pp 2013-2021
-
- Flachsenberg, F.; Andresen, N.; Rarey, M.
- RingDecomposerLib: An Open-Source Implementation of
- Unique Ring Families and Other Cycle Bases.
- J. Chem. Inf. Model., 2017, 57 (2), pp 122-126
- """
- cdef list rc
- cdef object graph, data, cycle
-
- graph = py_rdl.Graph.from_edges(
- self.get_all_edges(),
- _get_edge_vertex1,
- _get_edge_vertex2,
- )
-
- data = py_rdl.wrapper.DataInternal(graph.get_nof_nodes(), graph.get_edges().keys())
- data.calculate()
-
- rc = []
- for cycle in data.get_rcs():
- rc.append(self.sort_cyclic_vertices([graph.get_node_for_index(i) for i in cycle.nodes]))
-
- return rc
cpdef list sort_cyclic_vertices(self, list vertices):
"""
@@ -1062,24 +823,6 @@ cdef class Graph(object):
return ordered
- cpdef int get_max_cycle_overlap(self):
- """
- Return the maximum number of vertices that are shared between
- any two cycles in the graph. For example, if there are only
- disparate monocycles or no cycles, the maximum overlap is zero;
- if there are "spiro" cycles, it is one; if there are "fused"
- cycles, it is two; and if there are "bridged" cycles, it is
- three.
- """
- cdef list cycles
- cdef int max_overlap, overlap, i, j
-
- cycles = self.get_smallest_set_of_smallest_rings()
- max_overlap = 0
- for i, j in itertools.combinations(range(len(cycles)), 2):
- overlap = len(set(cycles[i]) & set(cycles[j]))
- max_overlap = max(overlap, max_overlap)
- return max_overlap
cpdef list get_largest_ring(self, Vertex vertex):
"""
diff --git a/rmgpy/molecule/group.pxd b/rmgpy/molecule/group.pxd
index ada4072f781..8bb1d43e0bd 100644
--- a/rmgpy/molecule/group.pxd
+++ b/rmgpy/molecule/group.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -53,6 +53,8 @@ cdef class GroupAtom(Vertex):
cdef public list reg_dim_r
cdef public list reg_dim_site
cdef public list reg_dim_morphology
+ cdef public list reg_dim_ncoord
+ cdef public list reg_dim_p
cpdef Vertex copy(self)
diff --git a/rmgpy/molecule/group.py b/rmgpy/molecule/group.py
index f0af3727b77..85ebf255402 100644
--- a/rmgpy/molecule/group.py
+++ b/rmgpy/molecule/group.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -82,7 +82,7 @@ def add_cb_atom_to_ring(ring, cb_atom):
merged_ring = []
# ring already complete
if len(ring) == 6: return merged_ring
- for atom2, bond12 in cb_atom.bonds.items():
+ for atom2, bond12 in cb_atom.edges.items():
if bond12.is_benzene():
if atom2 is ring[-1]:
merged_ring = ring + [cb_atom]
@@ -155,6 +155,8 @@ class GroupAtom(Vertex):
`reg_dim_r` ``list`` List of inRing values that are free dimensions in tree optimization
`reg_dim_site` ``list`` List of sites that are free dimensions in tree optimization
`reg_dim_morphology` ``list`` List of morphologies that are free dimensions in tree optimization
+ `reg_dim_ncoord` ``list`` List of coordination numbers that are free dimensions in tree optimization
+ `reg_dim_p` ``list`` List of numbers of electron pairs that are free dimensions in tree optimization
==================== =================== ====================================
Each list represents a logical OR construct, i.e. an atom will match the
@@ -184,6 +186,8 @@ def __init__(self, atomtype=None, radical_electrons=None, charge=None, label='',
self.reg_dim_r = [[], []]
self.reg_dim_site = [[], []]
self.reg_dim_morphology = [[], []]
+ self.reg_dim_ncoord = [[],[]]
+ self.reg_dim_p = [[],[]]
def __reduce__(self):
"""
@@ -681,7 +685,7 @@ def is_bonded_to_surface(self):
``False`` if it is not
"""
cython.declare(bonded_atom=GroupAtom)
- for bonded_atom in self.bonds.keys():
+ for bonded_atom in self.edges.keys():
if bonded_atom.is_surface_site():
return True
return False
@@ -774,7 +778,7 @@ def has_wildcards(self):
return True
elif len(self.lone_pairs) > 1:
return True
- for bond in self.bonds.values():
+ for bond in self.edges.values():
if len(bond.order) > 1:
return True
return False
@@ -788,7 +792,7 @@ def count_bonds(self, wildcards=False):
"""
# count up number of bonds
single = r_double = o_double = s_double = triple = quadruple = benzene = 0 # note that 0 is immutable
- for atom2, bond12 in self.bonds.items():
+ for atom2, bond12 in self.edges.items():
if not wildcards and len(bond12.order) > 1:
continue
# Count numbers of each higher-order bond type
@@ -1319,15 +1323,15 @@ def draw(self, file_format):
import pydot
graph = pydot.Dot(graph_type='graph', dpi="52")
- for index, atom in enumerate(self.atoms):
+ for index, atom in enumerate(self.vertices):
atom_type = '{0!s} {1!s} '.format(index+1, atom.label if atom.label != '' else '')
atom_type += ','.join([at.label for at in atom.atomtype])
atom_type = '"' + atom_type + '"'
graph.add_node(pydot.Node(name=str(index + 1), label=atom_type, fontname="Helvetica", fontsize="16"))
- for atom1 in self.atoms:
- for atom2, bond in atom1.bonds.items():
- index1 = self.atoms.index(atom1)
- index2 = self.atoms.index(atom2)
+ for atom1 in self.vertices:
+ for atom2, bond in atom1.edges.items():
+ index1 = self.vertices.index(atom1)
+ index2 = self.vertices.index(atom2)
if index1 < index2:
bond_type = ','.join([order for order in bond.get_order_str()])
bond_type = '"' + bond_type + '"'
@@ -1394,14 +1398,14 @@ def contains_surface_site(self):
Returns ``True`` iff the group contains an 'X' surface site.
"""
cython.declare(atom=GroupAtom)
- for atom in self.atoms:
+ for atom in self.vertices:
if atom.is_surface_site():
return True
return False
def is_surface_site(self):
"""Returns ``True`` iff the group is nothing but a surface site 'X'."""
- return len(self.atoms) == 1 and self.atoms[0].is_surface_site()
+ return len(self.vertices) == 1 and self.vertices[0].is_surface_site()
def get_surface_sites(self):
"""
@@ -1410,15 +1414,15 @@ def get_surface_sites(self):
List(GroupAtom): A list containing the surface site GroupAtoms in the molecule
"""
cython.declare(atom=GroupAtom)
- return [atom for atom in self.atoms if atom.is_surface_site()]
+ return [atom for atom in self.vertices if atom.is_surface_site()]
def is_proton(self):
"""Returns ``True`` iff the group is a proton"""
- return len(self.atoms) == 1 and self.atoms[0].is_proton()
+ return len(self.vertices) == 1 and self.vertices[0].is_proton()
def is_electron(self):
"""Returns ``True`` iff the group is an electron"""
- return len(self.atoms) == 1 and self.atoms[0].is_electron()
+ return len(self.vertices) == 1 and self.vertices[0].is_electron()
def remove_atom(self, atom):
"""
@@ -1468,7 +1472,7 @@ def sort_by_connectivity(self, atom_list):
while atom_list:
for atom1 in sorted_atom_list:
added = False
- for atom2, bond12 in atom1.bonds.items():
+ for atom2, bond12 in atom1.edges.items():
if bond12.is_benzene() and atom2 in atom_list:
sorted_atom_list.append(atom2)
atom_list.remove(atom2)
@@ -1501,7 +1505,7 @@ def update_charge(self):
Update the partial charge according to the valence electron, total bond order, lone pairs
and radical electrons. This method is used for products of specific families with recipes that modify charges.
"""
- for atom in self.atoms:
+ for atom in self.vertices:
if isinstance(atom, CuttingLabel):
continue
if (len(atom.charge) == 1) and (len(atom.lone_pairs) == 1) and (len(atom.radical_electrons) == 1):
@@ -1513,7 +1517,7 @@ def update_charge(self):
if atom_type is ATOMTYPES[element] or atom_type in ATOMTYPES[element].specific:
bond_order = 0
valence_electron = elements.PeriodicSystem.valence_electrons[element]
- for _, bond in atom.bonds.items():
+ for _, bond in atom.edges.items():
bond_order += bond.order[0]
lone_pairs = atom.lone_pairs[0]
radical_electrons = atom.radical_electrons[0]
@@ -1555,12 +1559,14 @@ def clear_reg_dims(self):
clear regularization dimensions
"""
cython.declare(atm=GroupAtom)
- for atm in self.atoms:
+ for atm in self.vertices:
atm.reg_dim_atm = [[], []]
atm.reg_dim_u = [[], []]
atm.reg_dim_r = [[], []]
atm.reg_dim_site = [[],[]]
atm.reg_dim_morphology = [[],[]]
+ atm.reg_dim_ncoord = [[],[]]
+ atm.reg_dim_p = [[],[]]
for bd in self.get_all_edges():
bd.reg_dim = [[], []]
@@ -1592,7 +1598,7 @@ def get_extensions(self, r=None, r_bonds=None, r_un=None, basename='', atm_ind=N
if ATOMTYPES['H'] in RnH:
RnH.remove(ATOMTYPES['H'])
- atoms = self.atoms
+ atoms = self.vertices
if atm_ind is None:
for i, atm in enumerate(atoms):
typ = atm.atomtype
@@ -1729,11 +1735,11 @@ def specify_atom_extensions(self, i, basename, r):
for item in r:
grp = deepcopy(self)
grpc = deepcopy(self)
- old_atom_type = grp.atoms[i].atomtype
- grp.atoms[i].atomtype = [item]
- grpc.atoms[i].atomtype = list(Rset - {item})
+ old_atom_type = grp.vertices[i].atomtype
+ grp.vertices[i].atomtype = [item]
+ grpc.vertices[i].atomtype = list(Rset - {item})
- if len(grpc.atoms[i].atomtype) == 0:
+ if len(grpc.vertices[i].atomtype) == 0:
grpc = None
if len(old_atom_type) > 1:
@@ -1765,10 +1771,10 @@ def specify_ring_extensions(self, i, basename):
grp = deepcopy(self)
grpc = deepcopy(self)
- grp.atoms[i].props['inRing'] = True
- grpc.atoms[i].props['inRing'] = False
+ grp.vertices[i].props['inRing'] = True
+ grpc.vertices[i].props['inRing'] = False
- atom_type = grp.atoms[i].atomtype
+ atom_type = grp.vertices[i].atomtype
if len(atom_type) > 1:
atom_type_str = ''
@@ -1797,13 +1803,13 @@ def specify_unpaired_extensions(self, i, basename, r_un):
for item in r_un:
grp = deepcopy(self)
grpc = deepcopy(self)
- grp.atoms[i].radical_electrons = [item]
- grpc.atoms[i].radical_electrons = list(Rset - {item})
+ grp.vertices[i].radical_electrons = [item]
+ grpc.vertices[i].radical_electrons = list(Rset - {item})
- if len(grpc.atoms[i].radical_electrons) == 0:
+ if len(grpc.vertices[i].radical_electrons) == 0:
grpc = None
- atom_type = grp.atoms[i].atomtype
+ atom_type = grp.vertices[i].atomtype
if len(atom_type) > 1:
atom_type_str = ''
@@ -1830,10 +1836,10 @@ def specify_internal_new_bond_extensions(self, i, j, n_splits, basename, r_bonds
label_list = []
newgrp = deepcopy(self)
- newgrp.add_bond(GroupBond(newgrp.atoms[i], newgrp.atoms[j], r_bonds))
+ newgrp.add_bond(GroupBond(newgrp.vertices[i], newgrp.vertices[j], r_bonds))
- atom_type_i = newgrp.atoms[i].atomtype
- atom_type_j = newgrp.atoms[j].atomtype
+ atom_type_i = newgrp.vertices[i].atomtype
+ atom_type_j = newgrp.vertices[j].atomtype
if len(atom_type_i) > 1:
atom_type_i_str = ''
@@ -1875,9 +1881,9 @@ def specify_external_new_bond_extensions(self, i, basename, r_bonds):
ga = GroupAtom([ATOMTYPES['R!H']])
newgrp = deepcopy(self)
newgrp.add_atom(ga)
- j = newgrp.atoms.index(ga)
- newgrp.add_bond(GroupBond(newgrp.atoms[i], newgrp.atoms[j], r_bonds))
- atom_type = newgrp.atoms[i].atomtype
+ j = newgrp.vertices.index(ga)
+ newgrp.add_bond(GroupBond(newgrp.vertices[i], newgrp.vertices[j], r_bonds))
+ atom_type = newgrp.vertices[i].atomtype
if len(atom_type) > 1:
atom_type_str = ''
for k in atom_type:
@@ -1890,7 +1896,7 @@ def specify_external_new_bond_extensions(self, i, basename, r_bonds):
atom_type_str = atom_type[0].label
return [(newgrp, None, basename + '_Ext-' + str(i + 1) + atom_type_str + '-R', 'extNewBondExt',
- (len(newgrp.atoms) - 1,))]
+ (len(newgrp.vertices) - 1,))]
def specify_bond_extensions(self, i, j, basename, r_bonds):
"""
@@ -1905,16 +1911,16 @@ def specify_bond_extensions(self, i, j, basename, r_bonds):
for bd in r_bonds:
grp = deepcopy(self)
grpc = deepcopy(self)
- grp.atoms[i].bonds[grp.atoms[j]].order = [bd]
- grp.atoms[j].bonds[grp.atoms[i]].order = [bd]
- grpc.atoms[i].bonds[grpc.atoms[j]].order = list(Rbset - {bd})
- grpc.atoms[j].bonds[grpc.atoms[i]].order = list(Rbset - {bd})
+ grp.vertices[i].edges[grp.vertices[j]].order = [bd]
+ grp.vertices[j].edges[grp.vertices[i]].order = [bd]
+ grpc.vertices[i].edges[grpc.vertices[j]].order = list(Rbset - {bd})
+ grpc.vertices[j].edges[grpc.vertices[i]].order = list(Rbset - {bd})
if len(list(Rbset - {bd})) == 0:
grpc = None
- atom_type_i = grp.atoms[i].atomtype
- atom_type_j = grp.atoms[j].atomtype
+ atom_type_i = grp.vertices[i].atomtype
+ atom_type_j = grp.vertices[j].atomtype
if len(atom_type_i) > 1:
atom_type_i_str = ''
@@ -2007,7 +2013,7 @@ def get_element_count(self):
from rmgpy.molecule.atomtype import allElements
element_count = {}
- for atom in self.atoms:
+ for atom in self.vertices:
same = True
match = None
for atomtype in atom.atomtype:
@@ -2126,9 +2132,9 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F
keys = []
atms = []
initial_map = dict()
- for atom in self.atoms:
+ for atom in self.vertices:
if atom.label and atom.label != '':
- L = [a for a in other.atoms if a.label == atom.label]
+ L = [a for a in other.vertices if a.label == atom.label]
if L == []:
return False
elif len(L) == 1:
@@ -2267,12 +2273,12 @@ def is_aromatic_ring(self):
benzene bonds exclusively
"""
- ring_size = len(self.atoms)
+ ring_size = len(self.vertices)
if ring_size not in [5, 6]:
return False
- for ring_atom in self.atoms:
+ for ring_atom in self.vertices:
for bonded_atom, bond in ring_atom.edges.items():
- if bonded_atom in self.atoms:
+ if bonded_atom in self.vertices:
if not bond.is_benzene():
return False
return True
@@ -2284,7 +2290,7 @@ def has_wildcards(self):
Returns a 'True' if any of the atoms in this group has wildcards.
"""
- for atom1 in self.atoms:
+ for atom1 in self.vertices:
if atom1.has_wildcards():
return True
@@ -2314,7 +2320,7 @@ def standardize_atomtype(self):
# list of :class:AtomType which are elements with more sub-divided atomtypes beneath them
specifics = [elementLabel for elementLabel in allElements if elementLabel not in nonSpecifics]
- for atom in self.atoms:
+ for atom in self.vertices:
claimed_atom_type = atom.atomtype[0]
new_atom_type = None
element = None
@@ -2334,7 +2340,7 @@ def standardize_atomtype(self):
elif element is ATOMTYPES['N']:
continue
- group_features = get_features(atom, atom.bonds)
+ group_features = get_features(atom, atom.edges)
bond_order = atom.get_total_bond_order()
filled_valency = atom.radical_electrons[0] + bond_order
@@ -2396,13 +2402,16 @@ def add_explicit_ligands(self):
atoms_to_add_to = []
- for index, atom in enumerate(self.atoms):
+ _CO = ATOMTYPES['CO']
+ _CS = ATOMTYPES['CS']
+
+ for index, atom in enumerate(self.vertices):
claimed_atom_type = atom.atomtype[0]
# Do not perform is this atom has wildCards
if atom.has_wildcards():
continue
- elif claimed_atom_type is ATOMTYPES['CO'] or claimed_atom_type is ATOMTYPES['CS']:
- for bond12 in atom.bonds.values():
+ elif claimed_atom_type is _CO or claimed_atom_type is _CS:
+ for bond12 in atom.edges.values():
if bond12.is_double():
break
else:
@@ -2411,11 +2420,11 @@ def add_explicit_ligands(self):
for atomIndex in atoms_to_add_to:
modified = True
atomtypes = None
- if self.atoms[atomIndex].atomtype[0] is ATOMTYPES['CO']:
+ if self.vertices[atomIndex].atomtype[0] is _CO:
atomtypes = ['O2d']
- elif self.atoms[atomIndex].atomtype[0] is ATOMTYPES['CS']:
+ elif self.vertices[atomIndex].atomtype[0] is _CS:
atomtypes = ['S2d']
- self.create_and_connect_atom(atomtypes, self.atoms[atomIndex], [2])
+ self.create_and_connect_atom(atomtypes, self.vertices[atomIndex], [2])
return modified
@@ -2450,7 +2459,7 @@ def add_implicit_atoms_from_atomtype(self):
copy_group = deepcopy(self)
- for atom1 in copy_group.atoms:
+ for atom1 in copy_group.vertices:
atomtype_feature_list = atom1.atomtype[0].get_features()
lone_pairs_required[atom1] = atomtype_feature_list[8]
@@ -2465,7 +2474,7 @@ def add_implicit_atoms_from_atomtype(self):
# count up number of bonds
single = r_double = o_double = s_double = triple = quadruple = benzene = 0 # note that 0 is immutable
- for atom2, bond12 in atom1.bonds.items():
+ for atom2, bond12 in atom1.edges.items():
# Count numbers of each higher-order bond type
if bond12.is_single():
single += 1
@@ -2550,7 +2559,7 @@ def classify_benzene_carbons(self, partners=None):
labels_of_carbon_atom_types.extend(['R!H', 'N5b', 'N3b', 'N5bd', 'O4b', 'P3b', 'P5b', 'P5bd', 'S4b'])
# Why are Sib and Sibf missing?
- for atom in self.atoms:
+ for atom in self.vertices:
atomtype = atom.atomtype[0]
if atom.atomtype[0].label not in labels_of_carbon_atom_types:
continue
@@ -2560,7 +2569,7 @@ def classify_benzene_carbons(self, partners=None):
cbf_atom_list.append(atom)
else:
benzene_bonds = 0
- for atom2, bond12 in atom.bonds.items():
+ for atom2, bond12 in atom.edges.items():
if bond12.is_benzene(): benzene_bonds += 1
if benzene_bonds > 2:
cbf_atom_list.append(atom)
@@ -2571,7 +2580,7 @@ def classify_benzene_carbons(self, partners=None):
for cbf_atom in cbf_atom_list:
fb_bonds = 0
connected_cbfs[cbf_atom] = []
- for atom2, bond in cbf_atom.bonds.items():
+ for atom2, bond in cbf_atom.edges.items():
if bond.order[0] == 1.5 and atom2 in cbf_atom_list:
fb_bonds += 1
connected_cbfs[cbf_atom].append(atom2)
@@ -2591,7 +2600,7 @@ def classify_benzene_carbons(self, partners=None):
# check that cbfAtoms only have benzene bonds
for cbf_atom in cbf_atom_list:
- for atom2, bond12 in cbf_atom.bonds.items():
+ for atom2, bond12 in cbf_atom.edges.items():
assert bond12.is_benzene(), "Cbf atom in {0} has a bond with an order other than 1.5".format(self)
return cb_atom_list, cbf_atom_list, cbf_atom_list1, cbf_atom_list2, connected_cbfs
@@ -2656,12 +2665,12 @@ def add_implicit_benzene(self):
else:
# search for a potential partner out of atoms benzene bonded atoms
potential_partner = None
- for atom2, bond12 in cbf_atom.bonds.items():
+ for atom2, bond12 in cbf_atom.edges.items():
if atom2 in partners:
continue
# Potential partner must not have any bonds except benzene bonds
elif bond12.is_benzene():
- bonds_are_benzene = [True if bond23.is_benzene() else False for bond23 in atom2.bonds.values()]
+ bonds_are_benzene = [True if bond23.is_benzene() else False for bond23 in atom2.edges.values()]
if all(bonds_are_benzene) and 0 in atom2.radical_electrons:
potential_partner = atom2
# Make a Cb atom the partner, now marking it as a Cbfatom
@@ -2719,7 +2728,7 @@ def add_implicit_benzene(self):
# These two ring seeds represent the two unique rings
new_ring_seeds = [[partners[cbf_atom], cbf_atom, other_cbf],
[partners[cbf_atom], cbf_atom]]
- all_ligands = list(cbf_atom.bonds)
+ all_ligands = list(cbf_atom.edges)
# add a new cb atom to the second new_ring seed
if len(all_ligands) == 2:
new_atom = copy_group.create_and_connect_atom(['Cb'], cbf_atom, [1.5])
@@ -2840,9 +2849,9 @@ def pick_wildcards(self):
This function will naively pick the first atomtype for each atom, but will try
to pick bond orders that make sense given the selected atomtypes
"""
- for atom1 in self.atoms:
+ for atom1 in self.vertices:
atom1.atomtype = [atom1.atomtype[0]]
- for atom2, bond12 in atom1.bonds.items():
+ for atom2, bond12 in atom1.edges.items():
# skip dynamic bond ordering if there are no wildcards
if len(bond12.order) < 2:
continue
@@ -2851,7 +2860,7 @@ def pick_wildcards(self):
# skip dynamic bond ordering if there are no features required by the atomtype
if not any(atom1_features) and not any(atom2_features):
bond12.order = [bond12.order[0]]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
continue
atom1_bonds = atom1.count_bonds() # count_bonds list must match get_features list
@@ -2875,37 +2884,37 @@ def pick_wildcards(self):
if feature1 > 0 or feature2 > 0:
if index == 0 and 1.5 in bond12.order: # benzene bonds
bond12.order = [1.5]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
elif index == 1 and 4 in bond12.order: # quadruple bond
bond12.order = [4]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
elif index == 2 and 3 in bond12.order: # triple bond
bond12.order = [3]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
elif index > 2 and 2 in bond12.order: # any case of double bonds
if index == 3: # s_double bonds
if (feature1 > 0 and atom2.is_sulfur()) or (feature2 > 0 and atom1.is_sulfur()):
bond12.order = [2]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
elif index == 4: # oDoubleBonds
if (feature1 > 0 and atom2.is_oxygen()) or (feature2 > 0 and atom1.is_oxygen()):
bond12.order = [2]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
else: # r_double or all_double necessary
bond12.order = [2]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
break
else: # no features required, then pick the first order
bond12.order = [bond12.order[0]]
- atom2.bonds[atom1].order = bond12.order
+ atom2.edges[atom1].order = bond12.order
# if we have wildcard atomtypes pick one based on ordering of allElements
- for atom in self.atoms:
+ for atom in self.vertices:
for elementLabel in allElements:
if ATOMTYPES[elementLabel] in atom.atomtype[0].specific:
atom.atomtype = [ATOMTYPES[elementLabel]]
@@ -2915,7 +2924,8 @@ def make_sample_molecule(self):
"""
Returns: A sample class :Molecule: from the group
"""
-
+ cython.declare(modified_group=Group, new_molecule=mol.Molecule,
+ atom1=GroupAtom, atom2=GroupAtom, bond12=GroupBond)
modified_group = self.copy(deep=True)
# Remove all wildcards
@@ -2923,7 +2933,7 @@ def make_sample_molecule(self):
# check that there are less than three Cbf atoms
cbf_count = 0
- for atom in modified_group.atoms:
+ for atom in modified_group.vertices:
if atom.atomtype[0] is ATOMTYPES['Cbf']: cbf_count += 1
if cbf_count > 3:
if not modified_group.is_benzene_explicit():
@@ -2939,7 +2949,7 @@ def make_sample_molecule(self):
# Make dictionary of :GroupAtoms: to :Atoms: and vice versa
group_to_mol = {}
mol_to_group = {}
- for atom in modified_group.atoms:
+ for atom in modified_group.vertices:
mol_atom = atom.make_sample_atom()
group_to_mol[atom] = mol_atom
mol_to_group[mol_atom] = atom
@@ -2948,12 +2958,12 @@ def make_sample_molecule(self):
new_molecule = mol.Molecule(atoms=list(group_to_mol.values()))
# Add explicit bonds to :Atoms:
- for atom1 in modified_group.atoms:
- for atom2, bond12 in atom1.bonds.items():
+ for atom1 in modified_group.vertices:
+ for atom2, bond12 in atom1.edges.items():
bond12.make_bond(new_molecule, group_to_mol[atom1], group_to_mol[atom2])
# Saturate up to expected valency
- for mol_atom in new_molecule.atoms:
+ for mol_atom in new_molecule.vertices:
if mol_atom.charge:
stated_charge = mol_atom.charge
# otherwise assume no charge (or implicit atoms we assume hvae no charge)
@@ -2964,7 +2974,7 @@ def make_sample_molecule(self):
hydrogen_needed = mol_atom.charge - stated_charge
if mol_atom in mol_to_group and mol_to_group[mol_atom].atomtype[0].single:
max_single = max(mol_to_group[mol_atom].atomtype[0].single)
- single_present = sum([1 for atom in mol_atom.bonds if mol_atom.bonds[atom].is_single()])
+ single_present = sum([1 for atom in mol_atom.edges if mol_atom.edges[atom].is_single()])
max_hydrogen = max_single - single_present
if hydrogen_needed > max_hydrogen: hydrogen_needed = max_hydrogen
for x in range(hydrogen_needed):
@@ -2977,7 +2987,7 @@ def make_sample_molecule(self):
new_molecule.update()
# Check that the charge of atoms is expected
- for atom in new_molecule.atoms:
+ for atom in new_molecule.vertices:
if atom.charge != 0:
if atom in mol_to_group:
group_atom = mol_to_group[atom]
@@ -3019,11 +3029,11 @@ def is_benzene_explicit(self):
"""
# classify atoms
cb_atom_list = []
- for atom in self.atoms:
+ for atom in self.vertices:
if sum(atom.atomtype[0].benzene): # atomtype has at least one benzene bond
cb_atom_list.append(atom)
else: # there may be some undeclared (eg. a generic C atomtype, with a benzene bond)
- for atom2, bond12 in atom.bonds.items():
+ for atom2, bond12 in atom.edges.items():
if bond12.is_benzene():
cb_atom_list.append(atom)
break # can stop checking bonds for this atom
@@ -3078,13 +3088,13 @@ def merge_groups(self, other, keep_identical_labels=False):
bonds_to_remove = []
for label in overlapping_labels:
old_atom_b = self.get_labeled_atoms(label)[0]
- for old_atom_a, old_bond_ab in old_atom_b.bonds.items():
+ for old_atom_a, old_bond_ab in old_atom_b.edges.items():
if old_atom_a.label not in overlapping_labels: # this is bond we need to transfer over
# find and record bondAB from new backbone for later removal
new_atom_a = self_dict[old_atom_a]
new_atom_b = self_dict[old_atom_b]
new_atom_c = merged_group.get_labeled_atoms(old_atom_b.label)[0]
- for atom, new_bond_ab in new_atom_a.bonds.items():
+ for atom, new_bond_ab in new_atom_a.edges.items():
if atom is new_atom_b:
bonds_to_remove.append(new_bond_ab)
break
@@ -3103,6 +3113,6 @@ def reset_ring_membership(self):
"""
cython.declare(atom=GroupAtom)
- for atom in self.atoms:
+ for atom in self.vertices:
if 'inRing' in atom.props:
del atom.props['inRing']
diff --git a/rmgpy/molecule/inchi.pxd b/rmgpy/molecule/inchi.pxd
index d4f966fbf6a..6e89519eae2 100644
--- a/rmgpy/molecule/inchi.pxd
+++ b/rmgpy/molecule/inchi.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/inchi.py b/rmgpy/molecule/inchi.py
index 438b2b15322..a13dd9c8200 100644
--- a/rmgpy/molecule/inchi.py
+++ b/rmgpy/molecule/inchi.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/kekulize.pyx b/rmgpy/molecule/kekulize.pyx
index 166380c3513..0305b2eb48c 100644
--- a/rmgpy/molecule/kekulize.pyx
+++ b/rmgpy/molecule/kekulize.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/molecule.pxd b/rmgpy/molecule/molecule.pxd
index 8bbf3a5aa69..296393740e4 100644
--- a/rmgpy/molecule/molecule.pxd
+++ b/rmgpy/molecule/molecule.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -70,6 +70,10 @@ cdef class Atom(Vertex):
cpdef bint is_carbon(self)
+ cpdef bint is_lithium(self)
+
+ cpdef bint is_nitrogen(self)
+
cpdef bint is_oxygen(self)
cpdef bint is_fluorine(self)
@@ -82,6 +86,8 @@ cdef class Atom(Vertex):
cpdef bint is_chlorine(self)
+ cpdef bint is_bromine(self)
+
cpdef bint is_iodine(self)
cpdef bint is_nos(self)
@@ -108,8 +114,10 @@ cdef class Atom(Vertex):
cpdef update_charge(self)
- cpdef get_total_bond_order(self)
-
+ cpdef apply_action(self, action)
+
+ cpdef double get_total_bond_order(self)
+
################################################################################
cdef class Bond(Edge):
@@ -139,15 +147,27 @@ cdef class Bond(Edge):
cpdef bint is_double(self) except -2
cpdef bint is_triple(self) except -2
-
+
cpdef bint is_quadruple(self) except -2
-
+
+ cpdef bint is_double_or_triple(self) except -2
+
cpdef bint is_benzene(self) except -2
+ cpdef bint is_hydrogen_bond(self) except -2
+
+ cpdef bint is_reaction_bond(self) except -2
+
cpdef increment_order(self)
cpdef decrement_order(self)
+ cpdef _change_bond(self, float order)
+
+ cpdef apply_action(self, action)
+
+ cpdef double get_bde(self) except? -1
+
cpdef str get_bond_string(self)
################################################################################
@@ -158,6 +178,8 @@ cdef class Molecule(Graph):
cdef public int multiplicity
cdef public bint reactive
cdef public dict props
+ cdef public tuple _symm_sssr
+ cdef public tuple _sssr
cdef public str metal
cdef public str facet
cdef str _fingerprint
@@ -181,7 +203,13 @@ cdef class Molecule(Graph):
cpdef bint is_proton(self)
cpdef bint contains_surface_site(self)
-
+
+ cpdef int number_of_surface_sites(self) except -1
+
+ cpdef bint has_covalent_surface_bond(self)
+
+ cpdef bint has_vdw_surface_bond(self)
+
cpdef bint is_surface_site(self)
cpdef remove_atom(self, Atom atom)
@@ -190,6 +218,10 @@ cdef class Molecule(Graph):
cpdef remove_van_der_waals_bonds(self)
+ cpdef update_charge(self)
+
+ cpdef update_multiplicity(self)
+
cpdef sort_atoms(self)
cpdef str get_formula(self)
@@ -202,9 +234,14 @@ cdef class Molecule(Graph):
cpdef int get_num_atoms(self, str element=?)
+ cpdef int get_num_heavy_atoms(self)
+
cpdef Graph copy(self, bint deep=?)
+ cpdef Molecule to_single_bonds(self, bint raise_atomtype_exception=?)
+
cpdef delete_hydrogens(self)
+ # connect_the_dots cannot be cpdef because it contains a closure (lambda)
cpdef clear_labeled_atoms(self)
@@ -232,8 +269,12 @@ cdef class Molecule(Graph):
cpdef from_inchi(self, str inchistr, backend=?, bint raise_atomtype_exception=?)
+ cpdef from_augmented_inchi(self, str aug_inchi, bint raise_atomtype_exception=?)
+
cpdef from_smiles(self, str smilesstr, backend=?, bint raise_atomtype_exception=?)
+ cpdef from_smarts(self, str smartsstr, bint raise_atomtype_exception=?)
+
cpdef from_adjacency_list(self, str adjlist, bint saturate_h=?, bint raise_atomtype_exception=?,
bint raise_charge_exception=?, bint check_consistency=?)
@@ -247,12 +288,22 @@ cdef class Molecule(Graph):
cpdef str to_augmented_inchi_key(self, str backend=?)
+ cpdef str to_smarts(self)
+
cpdef str to_smiles(self)
cpdef to_adjacency_list(self, str label=?, bint remove_h=?, bint remove_lone_pairs=?, bint old_style=?)
+ cpdef list find_h_bonds(self)
+
+ cpdef list generate_h_bonded_structures(self)
+
+ cpdef remove_h_bonds(self)
+
cpdef bint is_linear(self) except -2
+ cpdef bint is_aromatic(self) except -2
+
cpdef bint is_heterocyclic(self) except -2
cpdef int count_internal_rotors(self) except -2
@@ -267,20 +318,36 @@ cdef class Molecule(Graph):
cpdef bint has_lone_pairs(self) except -2
+ cpdef bint has_charge(self) except -2
+
cpdef bint has_halogen(self) except -2
cpdef bint is_aryl_radical(self, list aromatic_rings=?, bint save_order=?) except -2
+ cpdef float get_symmetry_number(self) except -1
+
cpdef float calculate_symmetry_number(self) except -1
cpdef list generate_resonance_structures(self, bint keep_isomorphic=?, bint filter_structures=?, bint save_order=?)
+ cpdef str get_url(self)
+
+ cpdef list get_radical_atoms(self)
+
cpdef update_lone_pairs(self)
+ cpdef int get_net_charge(self)
+
+ cpdef double get_charge_span(self)
+
+ cpdef saturate_unfilled_valence(self, bint update=?)
+
cpdef dict saturate_radicals(self, bint raise_atomtype_exception=?)
cpdef replace_halogen_with_hydrogen(self, bint raise_atomtype_exception=?)
+ cpdef to_group(self)
+
cpdef identify_ring_membership(self)
cpdef int count_aromatic_rings(self)
@@ -307,4 +374,24 @@ cdef class Molecule(Graph):
cpdef list get_desorbed_molecules(self)
+ cpdef list get_smallest_set_of_smallest_rings(self, bint symmetrized=?)
+
+ cpdef list get_relevant_cycles(self) # deprecated
+
+ cpdef list get_all_polycyclic_vertices(self)
+
+ cpdef list get_polycycles(self)
+
+ cpdef list get_monocycles(self)
+
+ cpdef tuple get_disparate_cycles(self)
+
+ cpdef tuple _merge_cycles(self, list cycle_sets)
+
+ cpdef int get_max_cycle_overlap(self)
+
+ cpdef list get_nth_neighbor(self, list starting_atoms, list distance_list, list ignore_list=?, int n=?)
+
+ cpdef int get_ring_count_in_largest_fused_ring_system(self) except -1
+
cdef atom_id_counter
diff --git a/rmgpy/molecule/molecule.py b/rmgpy/molecule/molecule.py
index 1a32f07adde..ca405319a67 100644
--- a/rmgpy/molecule/molecule.py
+++ b/rmgpy/molecule/molecule.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -67,7 +67,7 @@
def _skip_first(in_tuple):
return in_tuple[1:]
-bond_orders = {'S': 1, 'D': 2, 'T': 3, 'B': 1.5}
+bond_orders = {'S': 1, 'D': 2, 'T': 3, 'B': 1.5, 'vdW': 0}
globals().update({
'bond_orders': bond_orders,
@@ -176,7 +176,7 @@ def __hash__(self):
"""
Define a custom hash method to allow Atom objects to be used in dictionaries and sets.
"""
- return hash(('Atom', self.symbol))
+ return hash(('Atom', self.element.symbol))
def __eq__(self, other):
"""Method to test equality of two Atom objects."""
@@ -217,7 +217,7 @@ def bonds(self):
@property
def sorting_key(self):
"""Returns a sorting key for comparing Atom objects. Read-only"""
- return self.number, -get_vertex_connectivity_value(self), self.radical_electrons, self.lone_pairs, self.charge
+ return self.element.number, -get_vertex_connectivity_value(self), self.radical_electrons, self.lone_pairs, self.charge
def equivalent(self, other, strict=True):
"""
@@ -437,7 +437,7 @@ def is_surface_site(self):
"""
Return ``True`` if the atom represents a surface site or ``False`` if not.
"""
- return self.symbol == 'X'
+ return self.element.symbol == 'X'
def is_bonded_to_surface(self):
"""
@@ -445,7 +445,8 @@ def is_bonded_to_surface(self):
``False`` if it is not
"""
cython.declare(bonded_atom=Atom)
- for bonded_atom in self.bonds.keys():
+ # access self.edges directly to skip the bonds @property dispatch
+ for bonded_atom in self.edges:
if bonded_atom.is_surface_site():
return True
return False
@@ -456,7 +457,8 @@ def is_bonded_to_halogen(self):
``False`` if it is not
"""
cython.declare(bonded_atom=Atom)
- for bonded_atom in self.bonds.keys():
+ # access self.edges directly to skip the bonds @property dispatch
+ for bonded_atom in self.edges:
if bonded_atom.is_halogen():
return True
return False
@@ -583,6 +585,7 @@ def update_charge(self):
Update self.charge, according to the valence, and the
number and types of bonds, radicals, and lone pairs.
"""
+ cython.declare(valence_electron=cython.short, order=cython.double)
if self.is_surface_site():
self.charge = 0
return
@@ -590,9 +593,9 @@ def update_charge(self):
self.charge = -1
return
- valence_electron = elements.PeriodicSystem.valence_electrons[self.symbol]
+ valence_electron = elements.PeriodicSystem.valence_electrons[self.element.symbol]
order = self.get_total_bond_order()
- self.charge = valence_electron - order - self.radical_electrons - 2 * self.lone_pairs
+ self.charge = valence_electron - int(order) - self.radical_electrons - 2 * self.lone_pairs
def apply_action(self, action):
"""
@@ -601,6 +604,7 @@ def apply_action(self, action):
required parameters. The available actions can be found
:ref:`here `.
"""
+ cython.declare(act=str, i=cython.Py_ssize_t, n=cython.Py_ssize_t)
# Invalidate current atom type
self.atomtype = None
act = action[0].upper()
@@ -609,17 +613,23 @@ def apply_action(self, action):
# Nothing else to do here
pass
elif act == 'GAIN_RADICAL':
- for i in range(action[2]): self.increment_radical()
+ n = action[2]
+ for i in range(n): self.increment_radical()
elif act == 'LOSE_RADICAL':
- for i in range(abs(action[2])): self.decrement_radical()
+ n = action[2]
+ for i in range(n): self.decrement_radical()
elif act == 'GAIN_CHARGE':
- for i in range(action[2]): self.increment_charge()
+ n = action[2]
+ for i in range(n): self.increment_charge()
elif act == 'LOSE_CHARGE':
- for i in range(abs(action[2])): self.decrement_charge()
- elif action[0].upper() == 'GAIN_PAIR':
- for i in range(action[2]): self.increment_lone_pairs()
- elif action[0].upper() == 'LOSE_PAIR':
- for i in range(abs(action[2])): self.decrement_lone_pairs()
+ n = action[2]
+ for i in range(n): self.decrement_charge()
+ elif act == 'GAIN_PAIR':
+ n = action[2]
+ for i in range(n): self.increment_lone_pairs()
+ elif act == 'LOSE_PAIR':
+ n = action[2]
+ for i in range(n): self.decrement_lone_pairs()
else:
raise gr.ActionError('Unable to update Atom: Invalid action {0}".'.format(action))
@@ -628,13 +638,14 @@ def get_total_bond_order(self):
This helper function is to help calculate total bond orders for an
input atom.
- Some special consideration for the order `B` bond. For atoms having
+ Some special consideration for the order `B` bond. For atoms having
three `B` bonds, the order for each is 4/3.0, while for atoms having other
than three `B` bonds, the order for each is 3/2.0
"""
+ cython.declare(bond=Bond, num_b_bond=cython.int, order=cython.double)
num_b_bond = 0
- order = 0
- for bond in self.bonds.values():
+ order = 0.0
+ for bond in self.edges.values():
if bond.is_benzene():
num_b_bond += 1
else:
@@ -768,7 +779,7 @@ def is_specific_case_of(self, other):
def get_order_str(self):
"""
- returns a string representing the bond order
+ Returns a string representing the bond order. Returns None if bond order does not have a string representation.
"""
if self.is_single():
return 'S'
@@ -787,7 +798,8 @@ def get_order_str(self):
elif self.is_reaction_bond():
return 'R'
else:
- raise ValueError("Bond order {} does not have string representation.".format(self.order))
+ logging.warning("Bond order {} does not have string representation.".format(self.order))
+ return None
def set_order_str(self, new_order):
"""
@@ -1033,6 +1045,8 @@ def __init__(self, atoms=None, symmetry=-1, multiplicity=-187, reactive=True, pr
self.props = props or {}
self.metal = metal
self.facet = facet
+ self._sssr = None
+ self._symm_sssr = None
if inchi and smiles:
logging.warning('Both InChI and SMILES provided for Molecule instantiation, '
@@ -1205,13 +1219,43 @@ def has_bond(self, atom1, atom2):
"""
return self.has_edge(atom1, atom2)
+ def has_covalent_surface_bond(self):
+ """
+ Return True if any bond in this molecule connects a surface site (X) via a covalent bond.
+ """
+ cython.declare(atom=Atom, bond=Bond)
+ for atom in self.atoms:
+ if atom.is_surface_site():
+ for bond in atom.bonds.values():
+ if not bond.is_van_der_waals():
+ return True
+ return False
+
+ def has_vdw_surface_bond(self):
+ """
+ Return True if any bond in this molecule connects a surface site (X)
+ via a van der Waals bond, or there's a surface site with no bonds
+ (but at least one other atom in the molecule).
+ """
+ cython.declare(atom=Atom, bond=Bond)
+ for atom in self.atoms:
+ if atom.is_surface_site():
+ if not atom.bonds: # if there are no bonds at all
+ if len(self.atoms) > 1: # and there's something besides the surface site
+ return True # then treat as vdW bonded
+ for bond in atom.bonds.values():
+ if bond.is_van_der_waals():
+ return True
+
+ return False
+
def contains_surface_site(self):
"""
Returns ``True`` iff the molecule contains an 'X' surface site.
"""
cython.declare(atom=Atom)
- for atom in self.atoms:
- if atom.symbol == 'X':
+ for atom in self.vertices:
+ if atom.element.symbol == 'X':
return True
return False
@@ -1220,25 +1264,24 @@ def number_of_surface_sites(self):
Returns the number of surface sites in the molecule.
e.g. 2 for a bidentate adsorbate
"""
- cython.declare(atom=Atom)
- cython.declare(count=cython.int)
+ cython.declare(atom=Atom, count=cython.int)
count = 0
- for atom in self.atoms:
+ for atom in self.vertices:
if atom.is_surface_site():
count += 1
return count
def is_surface_site(self):
"""Returns ``True`` iff the molecule is nothing but a surface site 'X'."""
- return len(self.atoms) == 1 and self.atoms[0].is_surface_site()
+ return len(self.vertices) == 1 and self.vertices[0].is_surface_site()
def is_electron(self):
"""Returns ``True`` iff the molecule is nothing but an electron 'e'."""
- return len(self.atoms) == 1 and self.atoms[0].is_electron()
+ return len(self.vertices) == 1 and self.vertices[0].is_electron()
def is_proton(self):
"""Returns ``True`` iff the molecule is nothing but a proton 'H+'."""
- return len(self.atoms) == 1 and self.atoms[0].is_proton()
+ return len(self.vertices) == 1 and self.vertices[0].is_proton()
def remove_atom(self, atom):
"""
@@ -1260,9 +1303,14 @@ def remove_bond(self, bond):
def remove_van_der_waals_bonds(self):
"""
- Remove all van der Waals bonds.
+ Remove all van der Waals bonds. For multidentate species,
+ vdW bonds are preserved when there are still other
+ covalent bonds with the surface present. If no covalent surface bonds are present,
+ all vdW bonds are removed.
"""
cython.declare(bond=Bond)
+ if self.has_covalent_surface_bond():
+ return # preserve any vdW bonds if there's also a covalent X
for bond in self.get_all_edges():
if bond.is_van_der_waals():
self.remove_bond(bond)
@@ -1277,18 +1325,18 @@ def sort_atoms(self):
Placing hydrogens last during sorting ensures that functions with hydrogen
removal work properly.
"""
- cython.declare(vertex=Vertex, a=Atom, index=int)
+ cython.declare(vertex=Vertex, index=int)
for vertex in self.vertices:
if vertex.sorting_label < 0:
self.update_connectivity_values()
break
- self.atoms.sort(reverse=True)
+ self.vertices.sort(reverse=True)
for index, vertex in enumerate(self.vertices):
vertex.sorting_label = index
def update_charge(self):
-
- for atom in self.atoms:
+ cython.declare(atom=Atom)
+ for atom in self.vertices:
if not isinstance(atom, CuttingLabel):
atom.update_charge()
@@ -1312,8 +1360,8 @@ def get_formula(self):
"""
Return the molecular formula for the molecule.
"""
- cython.declare(atom=Atom, symbol=str, elements=dict, keys=list, formula=str)
- cython.declare(hasCarbon=cython.bint, hasHydrogen=cython.bint)
+ cython.declare(atom=Atom, symbol=str, element_dict=dict, keys=list, key=str,
+ formula=str, count=int)
# Count the number of each element in the molecule
element_dict = {}
@@ -1385,7 +1433,7 @@ def get_num_atoms(self, element=None):
Return the number of atoms in molecule. If element is given, ie. "H" or "C",
the number of atoms of that element is returned.
"""
- cython.declare(numAtoms=cython.int, atom=Atom)
+ cython.declare(num_atoms=cython.int, atom=Atom)
if element is None:
return len(self.vertices)
else:
@@ -1395,6 +1443,18 @@ def get_num_atoms(self, element=None):
num_atoms += 1
return num_atoms
+ def get_num_heavy_atoms(self):
+ """
+ Return the number of heavy atoms in the molecule, i.e. the number of
+ atoms that are not Hydrogen ('H') nor a surface site ('X').
+ """
+ cython.declare(num_atoms=cython.int, atom=Atom)
+ num_atoms = 0
+ for atom in self.vertices:
+ if atom.element.symbol != 'H' and atom.element.symbol != 'X':
+ num_atoms += 1
+ return num_atoms
+
def copy(self, deep=False):
"""
Create a copy of the current graph. If `deep` is ``True``, a deep copy
@@ -1467,8 +1527,8 @@ def connect_the_dots(self, critical_distance_factor=0.45, raise_atomtype_excepti
Delete all bonds, and set them again based on the Atoms' coords.
Does not detect bond type.
"""
- cython.declare(criticalDistance=float, i=int, atom1=Atom, atom2=Atom,
- bond=Bond, atoms=list, zBoundary=float)
+ cython.declare(critical_distance=float, i=cython.Py_ssize_t, atom=Atom, atom1=Atom, atom2=Atom,
+ bond=Bond, atoms=list, sorted_atoms=list, z_boundary=float, distance_squared=float)
# groupBond=GroupBond,
self._fingerprint = None
@@ -1545,6 +1605,7 @@ def clear_labeled_atoms(self):
"""
Remove the labels from all atoms in the molecule.
"""
+ cython.declare(atom=Atom)
for atom in self.vertices:
atom.label = ''
@@ -1553,6 +1614,7 @@ def contains_labeled_atom(self, label):
Return :data:`True` if the molecule contains an atom with the label
`label` and :data:`False` otherwise.
"""
+ cython.declare(atom=Atom)
for atom in self.vertices:
if atom.label == label: return True
return False
@@ -1561,6 +1623,7 @@ def get_labeled_atoms(self, label):
"""
Return the atoms in the molecule that are labeled.
"""
+ cython.declare(atom=Atom, alist=list)
alist = [atom for atom in self.vertices if atom.label == label]
if alist == []:
raise ValueError(
@@ -1573,6 +1636,7 @@ def get_all_labeled_atoms(self):
and the values the atoms themselves. If two or more atoms have the
same label, the value is converted to a list of these atoms.
"""
+ cython.declare(atom=Atom, labeled=dict)
labeled = {}
for atom in self.vertices:
if atom.label != '':
@@ -1590,15 +1654,14 @@ def get_element_count(self):
"""
Returns the element count for the molecule as a dictionary.
"""
+ cython.declare(atom=Atom, element_count=dict, symbol=str)
element_count = {}
- for atom in self.atoms:
+ for atom in self.vertices:
symbol = atom.element.symbol
- isotope = atom.element.isotope
- key = symbol
- if key in element_count:
- element_count[key] += 1
+ if symbol in element_count:
+ element_count[symbol] += 1
else:
- element_count[key] = 1
+ element_count[symbol] = 1
return element_count
@@ -1691,9 +1754,8 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F
while the atoms of `other` are the values). The `other` parameter must
be a :class:`Group` object, or a :class:`TypeError` is raised.
"""
- cython.declare(group=gr.Group, atom=Atom)
- cython.declare(carbonCount=cython.short, nitrogenCount=cython.short, oxygenCount=cython.short,
- sulfurCount=cython.short, radicalCount=cython.short)
+ cython.declare(group=gr.Group, atom=Atom, element_count=dict, element=str, count=cython.short,
+ result=cython.bint)
cython.declare(L=list)
# It only makes sense to compare a Molecule to a Group for subgraph
# isomorphism, so raise an exception if this is not what was requested
@@ -1727,9 +1789,9 @@ def is_subgraph_isomorphic(self, other, initial_map=None, generate_initial_map=F
keys = []
atms = []
initial_map = dict()
- for atom in self.atoms:
+ for atom in self.vertices:
if atom.label and atom.label != '':
- L = [a for a in other.atoms if a.label == atom.label]
+ L = [a for a in other.vertices if a.label == atom.label]
if L == []:
return False
elif len(L) == 1:
@@ -1767,9 +1829,7 @@ def find_subgraph_isomorphisms(self, other, initial_map=None, save_order=False):
The `other` parameter must be a :class:`Group` object, or a
:class:`TypeError` is raised.
"""
- cython.declare(group=gr.Group, atom=Atom)
- cython.declare(carbonCount=cython.short, nitrogenCount=cython.short, oxygenCount=cython.short,
- sulfurCount=cython.short, radicalCount=cython.short)
+ cython.declare(group=gr.Group, element_count=dict, element=str, count=cython.short, result=list)
# It only makes sense to compare a Molecule to a Group for subgraph
# isomorphism, so raise an exception if this is not what was requested
@@ -1891,7 +1951,10 @@ def from_adjacency_list(self, adjlist, saturate_h=False, raise_atomtype_exceptio
self.vertices, self.multiplicity, self.metal, self.facet = from_adjacency_list(adjlist, group=False, saturate_h=saturate_h,
check_consistency=check_consistency)
self.update_atomtypes(raise_exception=raise_atomtype_exception)
- self.identify_ring_membership()
+
+ # identify ring membership iff it's not a suspicious molecule
+ if not self.is_electron():
+ self.identify_ring_membership()
# Check if multiplicity is possible
n_rad = self.get_radical_count()
@@ -1928,17 +1991,17 @@ def to_single_bonds(self, raise_atomtype_exception=True):
This is useful for isomorphism comparison against something that was made
via from_xyz, which does not attempt to perceive bond orders
"""
- cython.declare(atom1=Atom, atom2=Atom, bond=Bond, newMol=Molecule, atoms=list, mapping=dict)
+ cython.declare(atom1=Atom, atom2=Atom, bond=Bond, new_mol=Molecule, atoms=list, mapping=dict)
new_mol = Molecule()
- atoms = self.atoms
+ atoms = self.vertices
mapping = {}
for atom1 in atoms:
atom2 = new_mol.add_atom(Atom(atom1.element))
mapping[atom1] = atom2
for atom1 in atoms:
- for atom2 in atom1.bonds:
+ for atom2 in atom1.edges:
bond = Bond(mapping[atom1], mapping[atom2], 1)
new_mol.add_bond(bond)
new_mol.update_atomtypes(raise_exception=raise_atomtype_exception)
@@ -2044,11 +2107,15 @@ def to_smiles(self):
return translator.to_smiles(self)
- def to_rdkit_mol(self, *args, **kwargs):
+ def to_rdkit_mol(self, **kwargs):
"""
Convert a molecular structure to a RDKit rdmol object.
"""
- return converter.to_rdkit_mol(self, *args, **kwargs)
+ # RDKit doesn't support electron
+ if self.is_electron():
+ raise ValueError("Cannot convert electron molecule to RDKit Mol object")
+
+ return converter.to_rdkit_mol(self, **kwargs)
def to_adjacency_list(self, label='', remove_h=False, remove_lone_pairs=False, old_style=False):
"""
@@ -2071,14 +2138,16 @@ def find_h_bonds(self):
3) the Hydrogen bond must complete a ring with at least 5 members
4) An atom can only be hydrogen bonded to one other atom
"""
+ cython.declare(atm1=Atom, atm2=Atom, atm_cov=Atom, atm_covs=list,
+ ONatoms=list, ONinds=list, pot_bonds=list, i=int, j=int, k=int)
pot_bonds = []
- ONatoms = [a for a in self.atoms if a.is_oxygen() or a.is_nitrogen()]
- ONinds = [n for n, a in enumerate(self.atoms) if a.is_oxygen() or a.is_nitrogen()]
+ ONatoms = [a for a in self.vertices if a.is_oxygen() or a.is_nitrogen()]
+ ONinds = [n for n, a in enumerate(self.vertices) if a.is_oxygen() or a.is_nitrogen()]
- for i, atm1 in enumerate(self.atoms):
+ for i, atm1 in enumerate(self.vertices):
if atm1.atomtype.label == 'H0':
- atm_covs = [q for q in atm1.bonds.keys()]
+ atm_covs = [q for q in atm1.edges.keys()]
if len(atm_covs) > 1: # H is already H bonded
continue
else:
@@ -2086,7 +2155,7 @@ def find_h_bonds(self):
if (atm_cov.is_oxygen() or atm_cov.is_nitrogen()): # this H can be H-bonded
for k, atm2 in enumerate(ONatoms):
if all([not np.isclose(0.1, q.order) for q in
- atm2.bonds.values()]): # atm2 not already H bonded
+ atm2.edges.values()]): # atm2 not already H bonded
dist = len(find_shortest_path(atm1, atm2)) - 1
if dist > 3:
j = ONinds[k]
@@ -2106,17 +2175,18 @@ def generate_h_bonded_structures(self):
structures as without this constraint the number of possible
structures grows 2^n where n is the number of possible H-bonds
"""
+ cython.declare(molc=Molecule, structs=list, Hbonds=list, i=int, j=int)
structs = []
Hbonds = self.find_h_bonds()
for i, bd1 in enumerate(Hbonds):
molc = self.copy(deep=True)
- molc.add_bond(Bond(molc.atoms[bd1[0]], molc.atoms[bd1[1]], order=0.1))
+ molc.add_bond(Bond(molc.vertices[bd1[0]], molc.vertices[bd1[1]], order=0.1))
structs.append(molc)
for j, bd2 in enumerate(Hbonds):
if j < i and bd1[0] != bd2[0] and bd1[1] != bd2[1]:
molc = self.copy(deep=True)
- molc.add_bond(Bond(molc.atoms[bd1[0]], molc.atoms[bd1[1]], order=0.1))
- molc.add_bond(Bond(molc.atoms[bd2[0]], molc.atoms[bd2[1]], order=0.1))
+ molc.add_bond(Bond(molc.vertices[bd1[0]], molc.vertices[bd1[1]], order=0.1))
+ molc.add_bond(Bond(molc.vertices[bd2[0]], molc.vertices[bd2[1]], order=0.1))
structs.append(molc)
return structs
@@ -2125,8 +2195,8 @@ def remove_h_bonds(self):
"""
removes any present hydrogen bonds from the molecule
"""
-
- atoms = self.atoms
+ cython.declare(atoms=list, atm1=Atom, atm2=Atom, bd=Bond, i=int, j=int)
+ atoms = self.vertices
for i, atm1 in enumerate(atoms):
for j, atm2 in enumerate(atoms):
if j < i and self.has_bond(atm1, atm2):
@@ -2189,10 +2259,10 @@ def is_aromatic(self):
there will be at least one 6 membered aromatic ring so this algorithm
will not fail for fused aromatic rings.
"""
- cython.declare(rc=list, cycle=list, atom=Atom)
- rc = self.get_relevant_cycles()
- if rc:
- for cycle in rc:
+ cython.declare(rings=list, cycle=list, atom=Atom)
+ rings = self.get_smallest_set_of_smallest_rings()
+ if rings:
+ for cycle in rings:
if len(cycle) == 6:
for atom in cycle:
# print atom.atomtype.label
@@ -2209,8 +2279,9 @@ def is_heterocyclic(self):
"""
Returns ``True`` if the molecule is heterocyclic, or ``False`` if not.
"""
+ cython.declare(atom=Atom)
if self.is_cyclic():
- for atom in self.atoms:
+ for atom in self.vertices:
if atom.is_non_hydrogen() and not atom.is_carbon() and self.is_vertex_in_cycle(atom):
return True
return False
@@ -2236,7 +2307,7 @@ def calculate_cp0(self):
"""
if self.contains_surface_site():
return 0.01
- if len(self.atoms) == 1:
+ if len(self.vertices) == 1:
return 2.5 * constants.R
else:
return (3.5 if self.is_linear() else 4.0) * constants.R
@@ -2304,6 +2375,7 @@ def has_lone_pairs(self):
return False
def has_charge(self):
+ cython.declare(atom=Atom)
for atom in self.vertices:
if atom.charge != 0:
return True
@@ -2328,6 +2400,10 @@ def is_aryl_radical(self, aromatic_rings=None, save_order=False):
and this process may involve atom order change by default. Set ``save_order`` to
``True`` to force the atom order unchanged.
"""
+ # RDKit does not support electron
+ if self.is_electron():
+ return False
+
cython.declare(atom=Atom, total=int, aromatic_atoms=set, aryl=int)
if aromatic_rings is None:
aromatic_rings = self.get_aromatic_rings(save_order=save_order)[0]
@@ -2365,6 +2441,7 @@ def get_radical_atoms(self):
"""
Return the atoms in the molecule that have unpaired electrons.
"""
+ cython.declare(atom=Atom, radical_atoms_list=list)
radical_atoms_list = []
for atom in self.vertices:
if atom.radical_electrons > 0:
@@ -2376,13 +2453,13 @@ def update_lone_pairs(self):
Iterate through the atoms in the structure and calculate the
number of lone electron pairs, assuming a neutral molecule.
"""
- cython.declare(atom1=Atom, atom2=Atom, bond12=Bond, order=float)
+ cython.declare(atom1=Atom, order=cython.double)
for atom1 in self.vertices:
if atom1.is_hydrogen() or atom1.is_surface_site() or atom1.is_electron() or atom1.is_lithium():
atom1.lone_pairs = 0
else:
order = atom1.get_total_bond_order()
- atom1.lone_pairs = (elements.PeriodicSystem.valence_electrons[atom1.symbol]
+ atom1.lone_pairs = (elements.PeriodicSystem.valence_electrons[atom1.element.symbol]
- atom1.radical_electrons - atom1.charge - int(order)) / 2.0
if atom1.lone_pairs % 1 > 0 or atom1.lone_pairs > 4:
logging.error("Unable to determine the number of lone pairs for "
@@ -2393,7 +2470,19 @@ def get_net_charge(self):
Iterate through the atoms in the structure and calculate the net charge
on the overall molecule.
"""
- return sum([atom.charge for atom in self.vertices])
+ # return sum(atom.charge for atom in self.vertices)
+ cython.declare(
+ i=cython.Py_ssize_t,
+ n=cython.Py_ssize_t,
+ total=cython.int,
+ atom=Atom,
+ )
+ total = 0
+ n = len(self.vertices)
+ for i in range(n):
+ atom = self.vertices[i]
+ total += atom.charge
+ return total
def get_charge_span(self):
"""
@@ -2411,7 +2500,7 @@ def saturate_unfilled_valence(self, update=True):
"""
saturator = Saturator()
- saturator.saturate(self.atoms)
+ saturator.saturate(self.vertices)
if update: self.update()
def saturate_radicals(self, raise_atomtype_exception=True):
@@ -2420,7 +2509,7 @@ def saturate_radicals(self, raise_atomtype_exception=True):
"""
cython.declare(added=dict, atom=Atom, i=int, H=Atom, bond=Bond)
added = {}
- for atom in self.atoms:
+ for atom in self.vertices:
for i in range(atom.radical_electrons):
H = Atom('H', radical_electrons=0, lone_pairs=0, charge=0)
bond = Bond(atom, H, 1)
@@ -2448,12 +2537,12 @@ def replace_halogen_with_hydrogen(self, raise_atomtype_exception=True):
cython.declare(halogen_atom_list=list, atom=Atom, bond_to_replace_dict=dict, H_atom=Atom,
bonded_atom=Atom, bond_to_replace=Bond, new_bond=Bond)
# the list of halogen atoms must be obtained before any of the halogen atoms are replaced because it changes
- # the order of self.atoms
- halogen_atom_list = [atom for atom in self.atoms if atom.is_halogen()]
+ # the order of self.vertices
+ halogen_atom_list = [atom for atom in self.vertices if atom.is_halogen()]
for atom in halogen_atom_list:
if not atom.charge == 0:
raise ValueError('For a given molecule {0}, a halogen atom {1} with charge {2} cannot be replaced '
- 'with a hydrogen atom'.format(self.to_smiles(), atom.symbol, atom.charge))
+ 'with a hydrogen atom'.format(self.to_smiles(), atom.element.symbol, atom.charge))
bond_to_replace_dict = self.get_bonds(atom)
self.remove_atom(atom)
H_atom = Atom('H', radical_electrons=atom.radical_electrons, lone_pairs=0, charge=0)
@@ -2471,9 +2560,10 @@ def to_group(self):
This method converts a list of atoms in a Molecule to a Group object.
"""
+ cython.declare(atom=Atom, bonded_atom=Atom, bond=Bond, group=gr.Group)
# Create GroupAtom object for each atom in the molecule
group_atoms = OrderedDict() # preserver order of atoms in original container
- for atom in self.atoms:
+ for atom in self.vertices:
group_atoms[atom] = gr.GroupAtom(atomtype=[atom.atomtype],
radical_electrons=[atom.radical_electrons],
charge=[atom.charge],
@@ -2487,7 +2577,7 @@ def to_group(self):
facet=[self.facet] if self.facet else [])
# Create GroupBond for each bond between atoms in the molecule
- for atom in self.atoms:
+ for atom in self.vertices:
for bonded_atom, bond in atom.edges.items():
group.add_bond(gr.GroupBond(group_atoms[atom], group_atoms[bonded_atom], order=[bond.order]))
@@ -2499,17 +2589,9 @@ def identify_ring_membership(self):
"""
Performs ring perception and saves ring membership information to the Atom.props attribute.
"""
- cython.declare(rc=list, atom=Atom, ring=list)
-
- # Get the set of relevant cycles
- rc = self.get_relevant_cycles()
- # Identify whether each atom is in a ring
- for atom in self.atoms:
- atom.props['inRing'] = False
- for ring in rc:
- if atom in ring:
- atom.props['inRing'] = True
- break
+ cython.declare(atom=Atom)
+ for atom in self.vertices:
+ atom.props["inRing"] = self.is_vertex_in_cycle(atom)
def count_aromatic_rings(self):
"""
@@ -2518,8 +2600,12 @@ def count_aromatic_rings(self):
Returns an integer corresponding to the number or aromatic rings.
"""
+ # RDKit does not support electron
+ if self.is_electron():
+ return 0
+
cython.declare(rings=list, count=int, ring=list, bonds=list, bond=Bond)
- rings = self.get_relevant_cycles()
+ rings = self.get_smallest_set_of_smallest_rings()
count = 0
for ring in rings:
if len(ring) != 6:
@@ -2536,7 +2622,7 @@ def get_aromatic_rings(self, rings=None, save_order=False):
"""
Returns all aromatic rings as a list of atoms and a list of bonds.
- Identifies rings using `Graph.get_smallest_set_of_smallest_rings()`, then uses RDKit to perceive aromaticity.
+ Identifies rings, then uses RDKit to perceive aromaticity.
RDKit uses an atom-based pi-electron counting algorithm to check aromaticity based on Huckel's Rule.
Therefore, this method identifies "true" aromaticity, rather than simply the RMG bond type.
@@ -2546,17 +2632,21 @@ def get_aromatic_rings(self, rings=None, save_order=False):
By default, the atom order will be sorted to get consistent results from different runs. The atom order can
be saved when dealing with problems that are sensitive to the atom map.
"""
+ # RDKit does not support electron
+ if self.is_electron():
+ return [], []
+
cython.declare(rd_atom_indices=dict, ob_atom_ids=dict, aromatic_rings=list, aromatic_bonds=list)
- cython.declare(ring0=list, i=cython.int, atom1=Atom, atom2=Atom)
+ cython.declare(ring0=list, i=cython.Py_ssize_t, atom1=Atom, atom2=Atom)
from rdkit.Chem.rdchem import BondType
AROMATIC = BondType.AROMATIC
if rings is None:
- rings = self.get_relevant_cycles()
+ rings = self.get_smallest_set_of_smallest_rings()
# Remove rings that share more than 3 atoms, since they cannot be planar
- cython.declare(toRemove=set, j=cython.int, toRemoveSorted=list)
+ cython.declare(to_remove=set, j=cython.Py_ssize_t, to_remove_sorted=list)
if len(rings) < 2:
pass
else:
@@ -2634,121 +2724,240 @@ def get_aromatic_rings(self, rings=None, save_order=False):
return aromatic_rings, aromatic_bonds
def get_deterministic_sssr(self):
+ raise RuntimeError("'get_deterministic_sssr' is deprecated. Use get_smallest_set_of_smallest_rings instead.")
+
+ def get_smallest_set_of_smallest_rings(self, symmetrized=False):
+ """
+ Returns the smallest set of smallest rings (SSSR) as a list of lists of Atom objects, optionally with symmetrization.
+
+ Uses RDKit's built-in ring perception (GetSSSR) by default.
+ Note that this is not the same as the Symmetrized SSSR (GetSymmSSSR) with symmetrized=True.
+ The symmetrized SSSR is at least as large as the SSSR for a molecule.
+ In certain highly-symmetric cases (e.g. cubane), the symmetrized SSSR
+ can be a bit larger (i.e. the number of symmetrized rings is >= NumBonds-NumAtoms+1).
+ It is usually more chemically meaningful, and is less random/arbitrary than the SSSR,
+ though RMG uses SSSR for historical reasons.
"""
- Modified `Graph` method `get_smallest_set_of_smallest_rings` by sorting calculated cycles
- by short length and then high atomic number instead of just short length (for cases where
- multiple cycles with same length are found, `get_smallest_set_of_smallest_rings` outputs
- non-determinstically).
+ if symmetrized:
+ if self._symm_sssr is not None:
+ return list(self._symm_sssr)
+ else:
+ if self._sssr is not None:
+ return list(self._sssr)
+
+ # RDKit does not support electron
+ if self.is_electron():
+ return []
- For instance, molecule with this smiles: C1CC2C3CSC(CO3)C2C1, will have non-deterministic
- output from `get_smallest_set_of_smallest_rings`, which leads to non-deterministic bicyclic decomposition.
- Using this new method can effectively prevent this situation.
-
- Important Note: This method returns an incorrect set of SSSR in certain molecules (such as cubane).
- It is recommended to use the main `Graph.get_smallest_set_of_smallest_rings` method in new applications.
- Alternatively, consider using `Graph.get_relevant_cycles` for deterministic output.
-
- In future development, this method should ideally be replaced by some method to select a deterministic
- set of SSSR from the set of Relevant Cycles, as that would be a more robust solution.
- """
- cython.declare(vertices=list, vertices_to_remove=list, root_candidates_tups=list, graphs=list)
- cython.declare(cycle_list=list, cycle_candidate_tups=list, cycles=list, cycle0=list, origin_conn_dict=dict)
-
- cython.declare(graph=Molecule, graph0=Molecule, vertex=Atom, root_vertex=Atom)
-
- # Make a copy of the graph so we don't modify the original
- graph = self.copy(deep=True)
- vertices = graph.vertices[:]
-
- # Step 1: Remove all terminal vertices
- done = False
- while not done:
- vertices_to_remove = []
- for vertex in graph.vertices:
- if len(vertex.edges) == 1: vertices_to_remove.append(vertex)
- done = len(vertices_to_remove) == 0
- # Remove identified vertices from graph
- for vertex in vertices_to_remove:
- graph.remove_vertex(vertex)
-
- graph.update_connectivity_values()
- # get original connectivity values
- origin_conn_dict = {}
- for v in graph.vertices:
- origin_conn_dict[v] = get_vertex_connectivity_value(v)
-
- # Step 2: Remove all other vertices that are not part of cycles
- vertices_to_remove = []
- for vertex in graph.vertices:
- found = graph.is_vertex_in_cycle(vertex)
- if not found:
- vertices_to_remove.append(vertex)
- # Remove identified vertices from graph
- for vertex in vertices_to_remove:
- graph.remove_vertex(vertex)
-
- # Step 3: Split graph into remaining subgraphs
- graphs = graph.split()
-
- # Step 4: Find ring sets in each subgraph
- cycle_list = []
- for graph0 in graphs:
-
- while len(graph0.vertices) > 0:
-
- # Choose root vertex as vertex with smallest number of edges
- root_vertex = None
- graph0.update_connectivity_values()
-
- root_candidates_tups = []
- for vertex in graph0.vertices:
- tup = (vertex, get_vertex_connectivity_value(vertex), -origin_conn_dict[vertex])
- root_candidates_tups.append(tup)
-
- root_vertex = sorted(root_candidates_tups, key=_skip_first, reverse=True)[0][0]
-
- # Get all cycles involving the root vertex
- cycles = graph0.get_all_cycles(root_vertex)
- if len(cycles) == 0:
- # This vertex is no longer in a ring, so remove it
- graph0.remove_vertex(root_vertex)
- continue
+ from rdkit import Chem
+
+ sssr = []
+ # Get the symmetric SSSR using RDKit
+ rdkit_mol = self.to_rdkit_mol(remove_h=False,
+ sanitize=False,
+ return_mapping=False,
+ save_order=True,
+ ignore_bond_orders=True)
+ rdkit_mol.UpdatePropertyCache(strict=False)
+ ranks = list(Chem.CanonicalRankAtoms(rdkit_mol, breakTies=True))
+ rank_to_idx = {rank: idx for idx, rank in enumerate(ranks)}
+ new_order = [rank_to_idx[i] for i in range(rdkit_mol.GetNumAtoms())]
+ canonical_mol = Chem.RenumberAtoms(rdkit_mol, new_order)
+ if symmetrized:
+ ring_info = Chem.GetSymmSSSR(canonical_mol)
+ else:
+ ring_info = Chem.GetSSSR(canonical_mol)
+
+ for ring in ring_info:
+ # Map the new canonical indices back to the original RMG atom indices
+ original_idx_ring = [new_order[idx] for idx in ring]
+ atom_ring = [self.vertices[idx] for idx in original_idx_ring]
+
+ sorted_ring = self.sort_cyclic_vertices(atom_ring)
+ sssr.append(sorted_ring)
+ if symmetrized:
+ self._symm_sssr = tuple(sssr)
+ else:
+ self._sssr = tuple(sssr)
+ return sssr
- # Keep the smallest of the cycles found above
- cycle_candidate_tups = []
- for cycle0 in cycles:
- tup = (cycle0, len(cycle0), -sum([origin_conn_dict[v] for v in cycle0]),
- -sum([v.element.number for v in cycle0]),
- -sum([v.get_total_bond_order() for v in cycle0]))
- cycle_candidate_tups.append(tup)
+ def get_relevant_cycles(self):
+ raise RuntimeError("'get_relevant_cycles' is deprecated. Use get_smallest_set_of_smallest_rings instead.")
- cycle = sorted(cycle_candidate_tups, key=_skip_first)[0][0]
+ def get_all_polycyclic_vertices(self):
+ """
+ Return all vertices belonging to two or more cycles, fused or spirocyclic.
+ """
+ sssr = self.get_smallest_set_of_smallest_rings()
+ # Todo: could get RDKit to do this directly, since we're going via RDKit.
+ polycyclic_vertices = []
+ if sssr:
+ vertices = []
+ for cycle in sssr:
+ for vertex in cycle:
+ if vertex not in vertices:
+ vertices.append(vertex)
+ else:
+ if vertex not in polycyclic_vertices:
+ polycyclic_vertices.append(vertex)
+ return polycyclic_vertices
- cycle_list.append(cycle)
+ def get_polycycles(self):
+ """
+ Return a list of cycles that are polycyclic.
+ In other words, merge the cycles which are fused or spirocyclic into
+ a single polycyclic cycle, and return only those cycles.
+ Cycles which are not polycyclic are not returned.
+ """
+ # Todo: if we're now using RDKit for ring detection anyway, we might be able to use it to do more of this method.
+ sssr = self.get_smallest_set_of_smallest_rings()
+ if not sssr:
+ return []
+
+ polycyclic_vertices = self.get_all_polycyclic_vertices()
+
+ if not polycyclic_vertices:
+ # no polycyclic vertices detected
+ return []
+ else:
+ # polycyclic vertices found, merge cycles together
+ # that have common polycyclic vertices
+ continuous_cycles = []
+ for vertex in polycyclic_vertices:
+ # First check if it is in any existing continuous cycles
+ for cycle in continuous_cycles:
+ if vertex in cycle:
+ polycyclic_cycle = cycle
+ break
+ else:
+ # Otherwise create a new cycle
+ polycyclic_cycle = set()
+ continuous_cycles.append(polycyclic_cycle)
- # Remove the root vertex to create single edges, note this will not
- # function properly if there is no vertex with 2 edges (i.e. cubane)
- graph0.remove_vertex(root_vertex)
+ for cycle in sssr:
+ if vertex in cycle:
+ polycyclic_cycle.update(cycle)
- # Remove from the graph all vertices in the cycle that have only one edge
- lone_carbon = True
- while lone_carbon:
- lone_carbon = False
- vertices_to_remove = []
+ # convert each set to a list
+ continuous_cycles = [list(cycle) for cycle in continuous_cycles]
+ return continuous_cycles
- for vertex in cycle:
- if len(vertex.edges) == 1:
- lone_carbon = True
- vertices_to_remove.append(vertex)
- else:
- for vertex in vertices_to_remove:
- graph0.remove_vertex(vertex)
+ def get_monocycles(self):
+ """
+ Return a list of cycles that are monocyclic.
+ """
+ sssr = self.get_smallest_set_of_smallest_rings()
+ if not sssr:
+ return []
+
+ polycyclic_vertices = self.get_all_polycyclic_vertices()
+
+ if not polycyclic_vertices:
+ # No polycyclic_vertices detected, all the rings from get_smallest_set_of_smallest_rings
+ # are monocyclic
+ return sssr
+
+ polycyclic_sssr = []
+ for vertex in polycyclic_vertices:
+ for cycle in sssr:
+ if vertex in cycle:
+ if cycle not in polycyclic_sssr:
+ polycyclic_sssr.append(cycle)
+
+ # remove the polycyclic cycles from the list of SSSR, leaving behind just the monocyclics
+ monocyclic_cycles = sssr
+ for cycle in polycyclic_sssr:
+ monocyclic_cycles.remove(cycle)
+ return monocyclic_cycles
- # Map atoms in cycles back to atoms in original graph
- for i in range(len(cycle_list)):
- cycle_list[i] = [self.vertices[vertices.index(v)] for v in cycle_list[i]]
+ def get_disparate_cycles(self):
+ """
+ Get all disjoint monocyclic and polycyclic cycle clusters in the molecule.
+ Takes the set of rings and recursively merges all cycles which share vertices.
+
+ Returns: monocyclic_cycles, polycyclic_cycles
+ """
+ rings = self.get_smallest_set_of_smallest_rings()
+
+ if not rings:
+ return [], []
+
+ # Convert cycles to sets
+ cycle_sets = [set(cycle_list) for cycle_list in rings]
+
+ # Merge connected cycles
+ monocyclic_cycles, polycyclic_cycles = self._merge_cycles(cycle_sets)
- return cycle_list
+ # Convert cycles back to lists
+ monocyclic_cycles = [list(cycle_set) for cycle_set in monocyclic_cycles]
+ polycyclic_cycles = [list(cycle_set) for cycle_set in polycyclic_cycles]
+
+ return monocyclic_cycles, polycyclic_cycles
+
+ def _merge_cycles(self, cycle_sets):
+ """
+ Recursively merges cycles that share common atoms.
+
+ Returns one list with unmerged cycles and one list with merged cycles.
+ """
+ unmerged_cycles = []
+ merged_cycles = []
+
+ # Loop through each cycle
+ for cycle in cycle_sets:
+ merged = False
+ new = False
+
+ # Check if it's attached to an existing merged cycle
+ for m_cycle in merged_cycles:
+ if not m_cycle.isdisjoint(cycle):
+ m_cycle.update(cycle)
+ merged = True
+ # It should only match one merged cycle, so we can break here
+ break
+ else:
+ # If it doesn't match any existing merged cycles, initiate a new one
+ m_cycle = cycle.copy()
+ new = True
+
+ # Check if the new merged cycle is attached to any of the unmerged cycles
+ matched = []
+ for i, u_cycle in enumerate(unmerged_cycles):
+ if not m_cycle.isdisjoint(u_cycle):
+ m_cycle.update(u_cycle)
+ matched.append(i)
+ merged = True
+ # Remove matched cycles from list of unmerged cycles
+ for i in reversed(matched):
+ del unmerged_cycles[i]
+
+ if merged and new:
+ merged_cycles.append(m_cycle)
+ elif not merged:
+ unmerged_cycles.append(cycle)
+
+ # If any rings were successfully merged, try to merge further
+ if len(merged_cycles) > 1:
+ u, m = self._merge_cycles(merged_cycles)
+ merged_cycles = u + m
+
+ return unmerged_cycles, merged_cycles
+
+ def get_max_cycle_overlap(self):
+ """
+ Return the maximum number of vertices that are shared between
+ any two cycles in the graph. For example, if there are only
+ disparate monocycles or no cycles, the maximum overlap is zero;
+ if there are "spiro" cycles, it is one; if there are "fused"
+ cycles, it is two; and if there are "bridged" cycles, it is
+ three.
+ """
+ cycles = self.get_smallest_set_of_smallest_rings()
+ max_overlap = 0
+ for i, j in itertools.combinations(range(len(cycles)), 2):
+ overlap = len(set(cycles[i]) & set(cycles[j]))
+ max_overlap = max(overlap, max_overlap)
+ return max_overlap
def kekulize(self):
"""
@@ -2762,9 +2971,10 @@ def assign_atom_ids(self):
Uses entire range of cython's integer values to reduce chance of duplicates
"""
+ cython.declare(atom=Atom)
global atom_id_counter
- for atom in self.atoms:
+ for atom in self.vertices:
atom.id = atom_id_counter
atom_id_counter += 1
if atom_id_counter == 2 ** 15:
@@ -2774,8 +2984,9 @@ def atom_ids_valid(self):
"""
Checks to see if the atom IDs are valid in this structure
"""
- num_atoms = len(self.atoms)
- num_ids = len(set([atom.id for atom in self.atoms]))
+ cython.declare(atom=Atom, num_atoms=int, num_ids=int)
+ num_atoms = len(self.vertices)
+ num_ids = len(set([atom.id for atom in self.vertices]))
if num_atoms == num_ids:
# all are unique
@@ -2800,14 +3011,14 @@ def is_identical(self, other, strict=True):
'Got a {0} object for parameter "other", when a Molecule object is required.'.format(other.__class__))
# Get a set of atom indices for each molecule
- atom_ids = set([atom.id for atom in self.atoms])
- other_ids = set([atom.id for atom in other.atoms])
+ atom_ids = set([atom.id for atom in self.vertices])
+ other_ids = set([atom.id for atom in other.vertices])
if atom_ids == other_ids:
# If the two molecules have the same indices, then they might be identical
# Sort the atoms by ID
- atom_list = sorted(self.atoms, key=attrgetter('id'))
- other_list = sorted(other.atoms, key=attrgetter('id'))
+ atom_list = sorted(self.vertices, key=attrgetter('id'))
+ other_list = sorted(other.vertices, key=attrgetter('id'))
# If matching atom indices gives a valid mapping, then the molecules are fully identical
mapping = {}
@@ -2865,16 +3076,20 @@ def get_surface_sites(self):
List(Atom): A list containing the surface site atoms in the molecule
"""
cython.declare(atom=Atom)
- return [atom for atom in self.atoms if atom.is_surface_site()]
+ return [atom for atom in self.vertices if atom.is_surface_site()]
def is_multidentate(self):
"""
Return ``True`` if the adsorbate contains at least two binding sites,
or ``False`` otherwise.
"""
- cython.declare(atom=Atom)
- if len([atom for atom in self.atoms if atom.is_surface_site()])>=2:
- return True
+ cython.declare(atom=Atom, found_one=cython.bint)
+ found_one = False
+ for atom in self.atoms:
+ if atom.is_surface_site():
+ if found_one:
+ return True
+ found_one = True
return False
def get_adatoms(self):
@@ -2886,8 +3101,8 @@ def get_adatoms(self):
cython.declare(surface_site=Atom, adatoms=list)
adatoms = []
for surface_site in self.get_surface_sites():
- if surface_site.bonds:
- adatoms.extend(surface_site.bonds.keys())
+ if surface_site.edges:
+ adatoms.extend(surface_site.edges.keys())
return adatoms
def get_desorbed_molecules(self):
@@ -2900,6 +3115,7 @@ def get_desorbed_molecules(self):
``*2`` - double bond
``*3`` - triple bond
``*4`` - quadruple bond
+ ``*0`` - vdW bond
"""
cython.declare(desorbed_molecules=list, desorbed_molecule=Molecule, sites_to_remove=list, adsorbed_atoms=list,
site=Atom, numbonds=cython.int, bonded_atom=Atom, bond=Bond, i=cython.int, j=cython.int, atom0=Atom,
@@ -2913,13 +3129,13 @@ def get_desorbed_molecules(self):
sites_to_remove = desorbed_molecule.get_surface_sites()
adsorbed_atoms = []
for site in sites_to_remove:
- numbonds = len(site.bonds)
+ numbonds = len(site.edges)
if numbonds == 0:
# vanDerWaals
pass
else:
- assert len(site.bonds) == 1, "Each surface site can only be bonded to 1 atom"
- (bonded_atom, bond), = site.bonds.items()
+ assert len(site.edges) == 1, "Each surface site can only be bonded to 1 atom"
+ (bonded_atom, bond), = site.edges.items()
adsorbed_atoms.append(bonded_atom)
desorbed_molecule.remove_bond(bond)
if bond.is_single():
@@ -2938,6 +3154,8 @@ def get_desorbed_molecules(self):
bonded_atom.increment_radical()
bonded_atom.increment_lone_pairs()
bonded_atom.label = '*4'
+ elif bond.is_van_der_waals():
+ bonded_atom.label = '*0'
else:
raise NotImplementedError("Can't remove surface bond of type {}".format(bond.order))
desorbed_molecule.remove_atom(site)
@@ -2950,7 +3168,7 @@ def get_desorbed_molecules(self):
try:
atom0 = adsorbed_atoms[i]
atom1 = adsorbed_atoms[j]
- bond = atom0.bonds[atom1]
+ bond = atom0.edges[atom1]
except KeyError:
pass # the two adsorbed atoms are not bonded to each other
else:
@@ -3002,6 +3220,36 @@ def get_desorbed_molecules(self):
return desorbed_molecules
+ def get_ring_count_in_largest_fused_ring_system(self) -> int:
+ """
+ Get the number of rings in the largest fused ring system in the molecule.
+ Returns 0 if the molecule has no fused rings (only monocycles or no rings).
+ """
+ cython.declare(polycycles=list, sssr=list, sssr_sets=list, ring_counts=list)
+ cython.declare(polycycle=list, poly_set=set, ring_set=set, ring_count=cython.int)
+
+ polycycles = self.get_polycycles()
+ if not polycycles:
+ return 0
+
+ sssr = self.get_smallest_set_of_smallest_rings()
+ if not sssr:
+ return 0
+
+ sssr_sets = [set(r) for r in sssr]
+
+ ring_counts = list()
+ for polycycle in polycycles:
+ poly_set = set(polycycle)
+ ring_count = 0
+ for ring_set in sssr_sets:
+ if ring_set.issubset(poly_set):
+ ring_count += 1
+ ring_counts.append(ring_count)
+
+ return max(ring_counts) if ring_counts else 0
+
+
# this variable is used to name atom IDs so that there are as few conflicts by
# using the entire space of integer objects
atom_id_counter = -2 ** 15
diff --git a/rmgpy/molecule/pathfinder.pxd b/rmgpy/molecule/pathfinder.pxd
index 469417983fb..d5f86bd16dd 100644
--- a/rmgpy/molecule/pathfinder.pxd
+++ b/rmgpy/molecule/pathfinder.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -26,6 +26,7 @@
###############################################################################
from .graph cimport Vertex, Edge, Graph
+from .molecule cimport Atom, Bond, Molecule
cpdef list find_butadiene(Vertex start, Vertex end)
@@ -61,4 +62,6 @@ cpdef bint is_atom_able_to_lose_lone_pair(Vertex atom)
cpdef list find_adsorbate_delocalization_paths(Vertex atom1)
-cpdef list find_adsorbate_conjugate_delocalization_paths(Vertex atom1)
\ No newline at end of file
+cpdef list find_adsorbate_conjugate_delocalization_paths(Vertex atom1)
+
+cpdef list find_formate_delocalization_paths(Vertex atom1)
diff --git a/rmgpy/molecule/pathfinder.py b/rmgpy/molecule/pathfinder.py
index 8bce591a4dd..ea798889c1d 100644
--- a/rmgpy/molecule/pathfinder.py
+++ b/rmgpy/molecule/pathfinder.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -36,7 +36,7 @@
import cython
-from rmgpy.molecule.molecule import Atom
+from rmgpy.molecule.molecule import Atom, Bond
from rmgpy.molecule.graph import Vertex, Edge
def find_butadiene(start, end):
@@ -494,7 +494,15 @@ def find_adsorbate_delocalization_paths(atom1):
In this transition atom1 and atom4 are surface sites while atom2 and atom3
are carbon or nitrogen atoms.
"""
- cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, bond12=Edge, bond23=Edge, bond34=Edge)
+ cython.declare(
+ paths=list,
+ atom2=Atom,
+ atom3=Atom,
+ atom4=Atom,
+ bond12=Bond,
+ bond23=Bond,
+ bond34=Bond,
+ )
paths = []
if atom1.is_surface_site():
@@ -521,7 +529,17 @@ def find_adsorbate_conjugate_delocalization_paths(atom1):
and atom4 are carbon or nitrogen atoms.
"""
- cython.declare(paths=list, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge)
+ cython.declare(
+ paths=list,
+ atom2=Atom,
+ atom3=Atom,
+ atom4=Atom,
+ atom5=Atom,
+ bond12=Bond,
+ bond23=Bond,
+ bond34=Bond,
+ bond45=Bond,
+ )
paths = []
if atom1.is_surface_site():
@@ -535,3 +553,40 @@ def find_adsorbate_conjugate_delocalization_paths(atom1):
if atom5.is_surface_site():
paths.append([atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45])
return paths
+
+def find_formate_delocalization_paths(atom1):
+ """
+ Find all resonance structures which have a bonding configuration X~O=C-O-X.
+ Examples:
+
+ - [X]~OC(H)O[X]/[X]OC(H)O~[X], where '~' denotes a vdW bond and X is the surface site. The adsorption site X
+ is always placed on the left-hand side of the adatom and every adatom
+ is bonded to only one surface site X.
+
+ In this transition atom1 and atom5 are surface sites while atom2
+ and atom4 are oxygen and atom3 is a carbon atom.
+ """
+
+ cython.declare(
+ paths=list,
+ atom2=Atom,
+ atom3=Atom,
+ atom4=Atom,
+ atom5=Atom,
+ bond12=Bond,
+ bond23=Bond,
+ bond34=Bond,
+ bond45=Bond,
+ )
+ paths = []
+ if atom1.is_surface_site():
+ for atom2, bond12 in atom1.edges.items():
+ if atom2.is_oxygen() and bond12.is_van_der_waals():
+ for atom3, bond23 in atom2.edges.items():
+ if (atom3.is_carbon() or atom3.is_nitrogen()) and bond23.is_double():
+ for atom4, bond34 in atom3.edges.items():
+ if atom2 is not atom4 and atom4.is_oxygen() and bond34.is_single():
+ for atom5, bond45 in atom4.edges.items():
+ if atom5.is_surface_site() and bond45.is_single():
+ paths.append([atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45])
+ return paths
\ No newline at end of file
diff --git a/rmgpy/molecule/resonance.pxd b/rmgpy/molecule/resonance.pxd
index b95c0b8ca0b..ba95a1d6f52 100644
--- a/rmgpy/molecule/resonance.pxd
+++ b/rmgpy/molecule/resonance.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -73,3 +73,5 @@ cpdef list generate_adsorbate_shift_down_resonance_structures(Graph mol)
cpdef list generate_adsorbate_shift_up_resonance_structures(Graph mol)
cpdef list generate_adsorbate_conjugate_resonance_structures(Graph mol)
+
+cpdef list generate_adsorbate_formate_resonance_structures(Graph mol)
diff --git a/rmgpy/molecule/resonance.py b/rmgpy/molecule/resonance.py
index d389143d243..08f4142694c 100644
--- a/rmgpy/molecule/resonance.py
+++ b/rmgpy/molecule/resonance.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -96,7 +96,8 @@ def populate_resonance_algorithms(features=None):
generate_clar_structures,
generate_adsorbate_shift_down_resonance_structures,
generate_adsorbate_shift_up_resonance_structures,
- generate_adsorbate_conjugate_resonance_structures
+ generate_adsorbate_conjugate_resonance_structures,
+ generate_adsorbate_formate_resonance_structures,
]
else:
# If the molecule is aromatic, then radical resonance has already been considered
@@ -124,6 +125,7 @@ def populate_resonance_algorithms(features=None):
method_list.append(generate_adsorbate_shift_down_resonance_structures)
method_list.append(generate_adsorbate_shift_up_resonance_structures)
method_list.append(generate_adsorbate_conjugate_resonance_structures)
+ method_list.append(generate_adsorbate_formate_resonance_structures)
return method_list
@@ -777,7 +779,7 @@ def generate_aryne_resonance_structures(mol):
i=cython.int, j=cython.int, bond_orders=str, new_orders=str,
ind=cython.int, bond=Edge, new_mol=Graph)
- rings = mol.get_relevant_cycles()
+ rings = mol.get_smallest_set_of_smallest_rings()
rings = [ring for ring in rings if len(ring) == 6]
new_mol_list = []
@@ -1257,3 +1259,43 @@ def generate_adsorbate_conjugate_resonance_structures(mol):
else:
structures.append(structure)
return structures
+
+
+def generate_adsorbate_formate_resonance_structures(mol):
+ """
+ Generate all resonance structures formed by the shift of two
+ electrons in a conjugated bonding system of a bidentate adsorbate
+ with a bridging atom in between, where one bond to the surface is vdW.
+
+ Example [X]OC(H)O[X]: [X]~OC(H)O[X] <=> [X]OC(H)O~[X]
+ (where '~' denotes a vdW bond)
+ """
+ cython.declare(structures=list, paths=list, index=cython.int, structure=Graph)
+ cython.declare(atom=Vertex, atom1=Vertex, atom2=Vertex, atom3=Vertex, atom4=Vertex, atom5=Vertex, bond12=Edge, bond23=Edge, bond34=Edge, bond45=Edge)
+ cython.declare(v1=Vertex, v2=Vertex)
+
+ structures = []
+ if mol.is_multidentate():
+ for atom in mol.vertices:
+ paths = pathfinder.find_formate_delocalization_paths(atom)
+ for atom1, atom2, atom3, atom4, atom5, bond12, bond23, bond34, bond45 in paths:
+ if ((atom2.is_oxygen() and bond12.is_van_der_waals()) and
+ (atom4.is_oxygen() and atom5.is_surface_site() and
+ bond45.is_single() and bond23.is_double() and bond34.is_single())):
+ bond12.increment_order()
+ bond23.decrement_order()
+ bond34.increment_order()
+ bond45.decrement_order()
+ structure = mol.copy(deep=True)
+ bond12.decrement_order()
+ bond23.increment_order()
+ bond34.decrement_order()
+ bond45.increment_order()
+ try:
+ structure.update_atomtypes(log_species=False)
+ except AtomTypeError:
+ pass
+ else:
+ structures.append(structure)
+
+ return structures
diff --git a/rmgpy/molecule/symmetry.pxd b/rmgpy/molecule/symmetry.pxd
index c18ed0d7147..bd4ff70ac21 100644
--- a/rmgpy/molecule/symmetry.pxd
+++ b/rmgpy/molecule/symmetry.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/symmetry.py b/rmgpy/molecule/symmetry.py
index 474e413d377..e27ab661866 100644
--- a/rmgpy/molecule/symmetry.py
+++ b/rmgpy/molecule/symmetry.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/translator.pxd b/rmgpy/molecule/translator.pxd
index 20072770e1b..3e7f7402d7f 100644
--- a/rmgpy/molecule/translator.pxd
+++ b/rmgpy/molecule/translator.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/translator.py b/rmgpy/molecule/translator.py
index 2cf27e50b23..fdd427e81ad 100644
--- a/rmgpy/molecule/translator.py
+++ b/rmgpy/molecule/translator.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/util.py b/rmgpy/molecule/util.py
index 46f8c3504c6..0ebb63569e7 100644
--- a/rmgpy/molecule/util.py
+++ b/rmgpy/molecule/util.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/vf2.pxd b/rmgpy/molecule/vf2.pxd
index 82ca4330257..3d9df4cbb6c 100644
--- a/rmgpy/molecule/vf2.pxd
+++ b/rmgpy/molecule/vf2.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/molecule/vf2.pyx b/rmgpy/molecule/vf2.pyx
index 9c8b0d73e33..c04c8cd21fb 100644
--- a/rmgpy/molecule/vf2.pyx
+++ b/rmgpy/molecule/vf2.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/__init__.py b/rmgpy/pdep/__init__.py
index 905bd061f99..42c9fac7d94 100644
--- a/rmgpy/pdep/__init__.py
+++ b/rmgpy/pdep/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/collision.pxd b/rmgpy/pdep/collision.pxd
index e445460a7a2..6de4fcd07e2 100644
--- a/rmgpy/pdep/collision.pxd
+++ b/rmgpy/pdep/collision.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/collision.pyx b/rmgpy/pdep/collision.pyx
index 8aec035258e..7cde79c28cf 100644
--- a/rmgpy/pdep/collision.pyx
+++ b/rmgpy/pdep/collision.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/configuration.pxd b/rmgpy/pdep/configuration.pxd
index 4f2b5f99899..25607d8d4a3 100644
--- a/rmgpy/pdep/configuration.pxd
+++ b/rmgpy/pdep/configuration.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/configuration.pyx b/rmgpy/pdep/configuration.pyx
index e44626a9239..15f927d364f 100644
--- a/rmgpy/pdep/configuration.pyx
+++ b/rmgpy/pdep/configuration.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -73,11 +73,12 @@ cdef class Configuration(object):
if self.sum_states is not None: string += 'sum_states={0}, '.format(self.sum_states)
string += 'active_k_rotor={0}, '.format(self.active_k_rotor)
string += 'active_j_rotor={0}, '.format(self.active_j_rotor)
+ if self.energy_correction != 0.0: string += 'energy_correction={0}, '.format(self.energy_correction)
string += ')'
return string
property E0:
- """The ground-state energy of the configuration in J/mol."""
+ """The ground-state energy of the configuration in J/mol. Applies the energy_correction."""
def __get__(self):
return sum([float(spec.conformer.E0.value_si) for spec in self.species]) + self.energy_correction
diff --git a/rmgpy/pdep/cse.pyx b/rmgpy/pdep/cse.pyx
index 11ad33e2bf2..c5573042e20 100644
--- a/rmgpy/pdep/cse.pyx
+++ b/rmgpy/pdep/cse.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/draw.py b/rmgpy/pdep/draw.py
index 655c9bba361..0ed358a0826 100644
--- a/rmgpy/pdep/draw.py
+++ b/rmgpy/pdep/draw.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/me.pyx b/rmgpy/pdep/me.pyx
index 8dfbad5ece0..e3fc6abc3ac 100644
--- a/rmgpy/pdep/me.pyx
+++ b/rmgpy/pdep/me.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/msc.pyx b/rmgpy/pdep/msc.pyx
index c531358dc9a..38aced47e7b 100644
--- a/rmgpy/pdep/msc.pyx
+++ b/rmgpy/pdep/msc.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/network.py b/rmgpy/pdep/network.py
index d3dafa5ae54..8f5388fcd5c 100644
--- a/rmgpy/pdep/network.py
+++ b/rmgpy/pdep/network.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -408,6 +408,7 @@ def set_conditions(self, T, P, ymB=None):
logging.error("Increasing number of grains did not decrease error enough "
"(Current badness: {0:.1f}, previous {1:.1f}). Something must be wrong with "
"network {2}".format(badness, previous_error.badness(), self.label))
+ self.log_summary()
raise error
previous_error = error
success = False
diff --git a/rmgpy/pdep/reaction.pyx b/rmgpy/pdep/reaction.pyx
index d8e6942de47..c04591e25f4 100644
--- a/rmgpy/pdep/reaction.pyx
+++ b/rmgpy/pdep/reaction.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/rs.pyx b/rmgpy/pdep/rs.pyx
index a26c196361c..9ab846ad01d 100644
--- a/rmgpy/pdep/rs.pyx
+++ b/rmgpy/pdep/rs.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/pdep/sls.py b/rmgpy/pdep/sls.py
index 341ff898602..c9458971658 100644
--- a/rmgpy/pdep/sls.py
+++ b/rmgpy/pdep/sls.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/qm/__init__.py b/rmgpy/qm/__init__.py
index 23a7d808df3..37ebf106731 100644
--- a/rmgpy/qm/__init__.py
+++ b/rmgpy/qm/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/qm/gaussian.py b/rmgpy/qm/gaussian.py
index e295b7e5446..d5aae25da9c 100644
--- a/rmgpy/qm/gaussian.py
+++ b/rmgpy/qm/gaussian.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -27,12 +27,12 @@
# #
###############################################################################
-import distutils.spawn
import itertools
import logging
import os
import re
from subprocess import Popen
+import shutil
import cclib
@@ -55,7 +55,7 @@ class Gaussian:
for exe in executablesToTry:
try:
- executable_path = distutils.spawn.find_executable(exe)
+ executable_path = shutil.which(exe)
except:
executable_path = None
if executable_path is not None:
diff --git a/rmgpy/qm/main.py b/rmgpy/qm/main.py
index 91fc8205c0f..83a0fa0dd6f 100644
--- a/rmgpy/qm/main.py
+++ b/rmgpy/qm/main.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/qm/molecule.py b/rmgpy/qm/molecule.py
index 45cf457b672..6008770c755 100644
--- a/rmgpy/qm/molecule.py
+++ b/rmgpy/qm/molecule.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -147,7 +147,12 @@ def rd_build(self):
"""
Import rmg molecule and create rdkit molecule with the same atom labeling.
"""
- return self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True)
+ # sanitize="partial" is used to allow molecules to fail RDKit's bond order and implicit
+ # hydrogen assignments, and possibly also RDKit's aromaticity perception, while still
+ # generating a molecule. This can happen because RMG uses partial bond orders and atom
+ # types that RDKit doesn't understand, though RDKit can still generate coordinates for
+ # the molecule, which is really all that's needed here.
+ return self.molecule.to_rdkit_mol(remove_h=False, return_mapping=True, sanitize="partial")
def rd_embed(self, rdmol, num_conf_attempts):
"""
diff --git a/rmgpy/qm/mopac.py b/rmgpy/qm/mopac.py
index 357bdd67385..e76de009c29 100644
--- a/rmgpy/qm/mopac.py
+++ b/rmgpy/qm/mopac.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -27,7 +27,6 @@
# #
###############################################################################
-import distutils.spawn
import logging
import os
import re
@@ -52,7 +51,7 @@ class Mopac(object):
input_file_extension = ".mop"
output_file_extension = ".out"
- executable_path = distutils.spawn.find_executable("mopac")
+ executable_path = shutil.which("mopac")
use_polar = False # use polar keyword in MOPAC
diff --git a/rmgpy/qm/qmdata.py b/rmgpy/qm/qmdata.py
index 6bf0b6a44e8..91fcc05d41f 100644
--- a/rmgpy/qm/qmdata.py
+++ b/rmgpy/qm/qmdata.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/qm/qmverifier.py b/rmgpy/qm/qmverifier.py
index a48316d07e3..de7e66378aa 100644
--- a/rmgpy/qm/qmverifier.py
+++ b/rmgpy/qm/qmverifier.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/qm/symmetry.py b/rmgpy/qm/symmetry.py
index c64e54e2960..0a0a01c0797 100644
--- a/rmgpy/qm/symmetry.py
+++ b/rmgpy/qm/symmetry.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/quantity.pxd b/rmgpy/quantity.pxd
index c8a54031d0c..8891d302e8b 100644
--- a/rmgpy/quantity.pxd
+++ b/rmgpy/quantity.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/quantity.py b/rmgpy/quantity.py
index 5d73546d455..f180be9c6c2 100644
--- a/rmgpy/quantity.py
+++ b/rmgpy/quantity.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -840,24 +840,23 @@ def RateCoefficient(*args, **kwargs):
# SurfaceRateCoefficient is handled as a special case since it can take various
# units depending on the reaction order
SURFACERATECOEFFICIENT_CONVERSION_FACTORS = {
- (1.0 / pq.s).dimensionality: 1.0,
- (pq.m ** 3 / pq.s).dimensionality: 1.0,
+ (1.0 / pq.s).dimensionality: 1.0, # unimolecular
+ (pq.m ** 3 / pq.s).dimensionality: 1.0, # single site adsorption
(pq.m ** 6 / pq.s).dimensionality: 1.0,
(pq.m ** 9 / pq.s).dimensionality: 1.0,
- (pq.m ** 3 / (pq.mol * pq.s)).dimensionality: 1.0,
+ (pq.m ** 3 / (pq.mol * pq.s)).dimensionality: 1.0, # single site adsorption
(pq.m ** 6 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0,
(pq.m ** 9 / (pq.mol ** 3 * pq.s)).dimensionality: 1.0,
- (pq.m ** 2 / pq.s).dimensionality: 1.0,
- (pq.m ** 5 / pq.s).dimensionality: 1.0,
- (pq.m ** 2 / (pq.mol * pq.s)).dimensionality: 1.0,
- (pq.m ** 5 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0,
+ (pq.m ** 2 / pq.s).dimensionality: 1.0, # bimolecular surface (Langmuir-Hinshelwood)
+ (pq.m ** 5 / pq.s).dimensionality: 1.0, # dissociative adsorption
+ (pq.m ** 2 / (pq.mol * pq.s)).dimensionality: 1.0, # bimolecular surface (Langmuir-Hinshelwood)
+ (pq.m ** 5 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0, # dissociative adsorption
(pq.m ** 4 / (pq.mol ** 2 * pq.s)).dimensionality: 1.0,
}
SURFACERATECOEFFICIENT_COMMON_UNITS = [
's^-1', # unimolecular
'm^3/(mol*s)', 'cm^3/(mol*s)', 'm^3/(molecule*s)', 'cm^3/(molecule*s)', # single site adsorption
- 'm^2/(mol*s)', 'cm^2/(mol*s)', 'm^2/(molecule*s)', 'cm^2/(molecule*s)',
- # bimolecular surface (Langmuir-Hinshelwood)
+ 'm^2/(mol*s)', 'cm^2/(mol*s)', 'm^2/(molecule*s)', 'cm^2/(molecule*s)', # bimolecular surface (Langmuir-Hinshelwood)
'm^5/(mol^2*s)', 'cm^5/(mol^2*s)', 'm^5/(molecule^2*s)', 'cm^5/(molecule^2*s)', # dissociative adsorption
'm^4/(mol^2*s)', 'cm^4/(mol^2*s)', 'm^4/(molecule^2*s)', 'cm^4/(molecule^2*s)', # Surface_Bidentate_Dissociation
]
diff --git a/rmgpy/reaction.pxd b/rmgpy/reaction.pxd
index c6c8b35601c..e17b74c2e89 100644
--- a/rmgpy/reaction.pxd
+++ b/rmgpy/reaction.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -143,7 +143,7 @@ cdef class Reaction:
cpdef generate_pairs(self)
- cpdef copy(self)
+ cpdef Reaction copy(self)
cpdef ensure_species(self, bint reactant_resonance=?, bint product_resonance=?, bint save_order=?)
diff --git a/rmgpy/reaction.py b/rmgpy/reaction.py
index 1997824afcc..13817852863 100644
--- a/rmgpy/reaction.py
+++ b/rmgpy/reaction.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -322,79 +322,100 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False):
if not self.kinetics:
raise Exception('Cantera reaction cannot be created because there was no kinetics.')
+ # Build an equation string from the stoichiometry dicts.
+ # Passing equation= to ct.Reaction avoids a Cantera API bug where any
+ # species present in both reactants and products dicts is misidentified
+ # as a third-body collider, corrupting input_data with spurious
+ # 'efficiencies' and doubled stoichiometry in the equation string.
+ # Third-body reaction types (ThirdBody/Troe/Lindemann) are exempt: they
+ # require the third_body= keyword and their species do not appear on
+ # both sides, so the bug does not affect them.
+ def _ct_equation(reactants, products, reversible):
+ def fmt(d):
+ return " + ".join(
+ f"{stoich} {name}" if stoich > 1 else name
+ for name, stoich in d.items()
+ )
+ arrow = " <=> " if reversible else " => "
+ return fmt(reactants) + arrow + fmt(products)
+
+ ct_equation = _ct_equation(ct_reactants, ct_products, self.reversible)
+
# Create the Cantera reaction object,
# with the correct type of kinetics object
# but don't actually set its kinetics (we do that at the end)
if isinstance(self.kinetics, Arrhenius):
# Create an Elementary Reaction
if isinstance(self.kinetics, SurfaceArrhenius): # SurfaceArrhenius inherits from Arrhenius
- ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.InterfaceArrheniusRate())
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.InterfaceArrheniusRate())
else:
- ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ArrheniusRate())
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.ArrheniusRate())
elif isinstance(self.kinetics, MultiArrhenius):
# Return a list of elementary reactions which are duplicates
- ct_reaction = [ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ArrheniusRate())
+ ct_reaction = [ct.Reaction(equation=ct_equation, rate=ct.ArrheniusRate())
for arr in self.kinetics.arrhenius]
elif isinstance(self.kinetics, PDepArrhenius):
- ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.PlogRate())
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.PlogRate())
elif isinstance(self.kinetics, MultiPDepArrhenius):
- ct_reaction = [ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.PlogRate())
+ ct_reaction = [ct.Reaction(equation=ct_equation, rate=ct.PlogRate())
for arr in self.kinetics.arrhenius]
elif isinstance(self.kinetics, Chebyshev):
- ct_reaction = ct.Reaction(reactants=ct_reactants, products=ct_products, rate=ct.ChebyshevRate())
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.ChebyshevRate())
elif isinstance(self.kinetics, ThirdBody):
- if ct_collider is not None:
- ct_reaction = ct.ThreeBodyReaction(reactants=ct_reactants, products=ct_products, third_body=ct_collider)
+ if ct_collider:
+ ct_reaction = ct.Reaction(reactants=ct_reactants,
+ products=ct_products,
+ third_body=ct_collider,
+ rate=ct.ArrheniusRate(),
+ )
else:
- ct_reaction = ct.ThreeBodyReaction(reactants=ct_reactants, products=ct_products)
+ ct_reaction = ct.Reaction(reactants=ct_reactants,
+ products=ct_products,
+ third_body="M",
+ rate=ct.ArrheniusRate(),
+ )
elif isinstance(self.kinetics, Troe):
- if ct_collider is not None:
- ct_reaction = ct.FalloffReaction(
+ if ct_collider:
+ ct_reaction = ct.Reaction(
reactants=ct_reactants,
products=ct_products,
- tbody=ct_collider,
+ third_body=ct_collider,
rate=ct.TroeRate()
)
else:
- ct_reaction = ct.FalloffReaction(
+ ct_reaction = ct.Reaction(
reactants=ct_reactants,
products=ct_products,
+ third_body="M",
rate=ct.TroeRate()
)
elif isinstance(self.kinetics, Lindemann):
- if ct_collider is not None:
- ct_reaction = ct.FalloffReaction(
+ if ct_collider:
+ ct_reaction = ct.Reaction(
reactants=ct_reactants,
products=ct_products,
- tbody=ct_collider,
+ third_body=ct_collider,
rate=ct.LindemannRate()
)
else:
- ct_reaction = ct.FalloffReaction(
+ ct_reaction = ct.Reaction(
reactants=ct_reactants,
products=ct_products,
+ third_body="M",
rate=ct.LindemannRate()
)
elif isinstance(self.kinetics, SurfaceArrhenius):
- ct_reaction = ct.InterfaceReaction(
- reactants=ct_reactants,
- products=ct_products,
- rate=ct.InterfaceArrheniusRate()
- )
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.InterfaceArrheniusRate())
elif isinstance(self.kinetics, StickingCoefficient):
- ct_reaction = ct.Reaction(
- reactants=ct_reactants,
- products=ct_products,
- rate=ct.StickingArrheniusRate()
- )
+ ct_reaction = ct.Reaction(equation=ct_equation, rate=ct.StickingArrheniusRate())
else:
raise NotImplementedError(f"Unable to set cantera kinetics for {self.kinetics}")
@@ -415,9 +436,20 @@ def to_cantera(self, species_list=None, use_chemkin_identifier=False):
# Now we set the kinetics.
self.kinetics.set_cantera_kinetics(ct_reaction, species_list)
- return ct_reaction
-
+ # Coverage dependencies are not handled by set_cantera_kinetics; set them here.
+ # Cantera's coverage_dependencies E is in J/kmol; RMG's value_si is J/mol.
+ if hasattr(self.kinetics, 'coverage_dependence') and self.kinetics.coverage_dependence:
+ cov_deps = {}
+ for sp, params in self.kinetics.coverage_dependence.items():
+ sp_label = sp.to_chemkin() if use_chemkin_identifier else sp.label
+ cov_deps[sp_label] = {
+ 'a': params['a'].value_si,
+ 'm': params['m'].value_si,
+ 'E': params['E'].value_si * 1000, # J/mol → J/kmol
+ }
+ ct_reaction.rate.coverage_dependencies = cov_deps
+ return ct_reaction
def get_url(self):
"""
@@ -1439,7 +1471,7 @@ def is_balanced(self):
from rmgpy.molecule.element import element_list
from rmgpy.molecule.fragment import CuttingLabel, Fragment
- cython.declare(reactant_elements=dict, product_elements=dict, molecule=Graph, atom=Vertex, element=Element,
+ cython.declare(reactant_elements=dict, product_elements=dict, molecule=Molecule, atom=Atom, element=Element,
reactants_net_charge=cython.int, products_net_charge=cython.int)
reactant_elements = {}
diff --git a/rmgpy/rmg/__init__.py b/rmgpy/rmg/__init__.py
index 0cff7c4312d..48546aa2c33 100644
--- a/rmgpy/rmg/__init__.py
+++ b/rmgpy/rmg/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmg/decay.py b/rmgpy/rmg/decay.py
index 4ffd821514c..114f0d89390 100644
--- a/rmgpy/rmg/decay.py
+++ b/rmgpy/rmg/decay.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py
index 05a5569efd0..8ba5c23d6d6 100644
--- a/rmgpy/rmg/input.py
+++ b/rmgpy/rmg/input.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -40,11 +40,12 @@
from rmgpy.data.vaporLiquidMassTransfer import (
liquidVolumetricMassTransferCoefficientPowerLaw,
)
+from rmgpy.chemkin import load_species_dictionary
from rmgpy.exceptions import DatabaseError, InputError
from rmgpy.molecule import Molecule
from rmgpy.molecule.fragment import Fragment
from rmgpy.molecule.group import Group
-from rmgpy.quantity import Energy, Quantity, RateCoefficient, SurfaceConcentration
+from rmgpy.quantity import Energy, Quantity, RateCoefficient, SurfaceConcentration, Concentration
from rmgpy.rmg.model import CoreEdgeReactionModel
from rmgpy.rmg.reactionmechanismsimulator_reactors import (
ConstantTLiquidSurfaceReactor,
@@ -53,7 +54,7 @@
ConstantVIdealGasReactor,
Reactor,
)
-from rmgpy.rmg.settings import ModelSettings, SimulatorSettings
+from rmgpy.rmg.settings import ModelSettings, SimulatorSettings, WriterConfig
from rmgpy.solver.liquid import LiquidReactor
from rmgpy.solver.mbSampled import MBSampledReactor
from rmgpy.solver.simple import SimpleReactor
@@ -63,6 +64,7 @@
TerminationRateRatio,
TerminationTime,
)
+from rmgpy.data.auto_database import AUTO, PAH_LIBS
from rmgpy.util import as_list
################################################################################
@@ -86,14 +88,55 @@ def database(
# We don't actually load the database until after we're finished reading
# the input file
rmg.database_directory = settings['database.directory']
- rmg.thermo_libraries = as_list(thermoLibraries, default=[])
- rmg.transport_libraries = as_list(transportLibraries, default=None)
- # Modify reaction library list such that all entries are tuples
- reaction_libraries = as_list(reactionLibraries, default=[])
- rmg.reaction_libraries = [(name, False) if not isinstance(name, tuple) else name for name in reaction_libraries]
+ # Handle 'auto' token: pass through for later resolution by auto_select_libraries().
+ # '' is only valid as a token inside a list, not as a standalone value.
+ for field_name, field_val in [('thermoLibraries', thermoLibraries),
+ ('transportLibraries', transportLibraries),
+ ('reactionLibraries', reactionLibraries),
+ ('seedMechanisms', seedMechanisms)]:
+ if field_val == PAH_LIBS:
+ raise InputError(f"'{PAH_LIBS}' cannot be used as a standalone value for {field_name}. "
+ f"Use it as a token inside a list, e.g. ['{AUTO}', '{PAH_LIBS}'].")
+
+ if thermoLibraries == AUTO:
+ rmg.thermo_libraries = AUTO
+ else:
+ rmg.thermo_libraries = as_list(thermoLibraries, default=[])
+
+ if transportLibraries == AUTO:
+ rmg.transport_libraries = AUTO
+ else:
+ rmg.transport_libraries = as_list(transportLibraries, default=None)
+
+ # Store reaction libraries as plain strings; remember which ones had True option
+ # (the bool indicates "also output unused edge reactions to chemkin file")
+ if reactionLibraries == AUTO:
+ rmg.reaction_libraries = AUTO
+ rmg.reaction_libraries_output_edge = set()
+ else:
+ reaction_libraries = as_list(reactionLibraries, default=[])
+ rmg.reaction_libraries = []
+ rmg.reaction_libraries_output_edge = set()
+ for item in reaction_libraries:
+ if isinstance(item, tuple):
+ name, option = item
+ if name == PAH_LIBS:
+ raise InputError(f"'{PAH_LIBS}' cannot be used as a tuple entry in reactionLibraries. "
+ f"Use it as a plain string token, e.g. ['{AUTO}', '{PAH_LIBS}'].")
+ rmg.reaction_libraries.append(name)
+ if option:
+ rmg.reaction_libraries_output_edge.add(name)
+ elif item in (AUTO, PAH_LIBS):
+ rmg.reaction_libraries.append(item)
+ else:
+ rmg.reaction_libraries.append(item)
+
+ if seedMechanisms == AUTO:
+ rmg.seed_mechanisms = AUTO
+ else:
+ rmg.seed_mechanisms = as_list(seedMechanisms, default=[])
- rmg.seed_mechanisms = as_list(seedMechanisms, default=[])
rmg.statmech_libraries = as_list(frequenciesLibraries, default=[])
rmg.kinetics_estimator = kineticsEstimator
@@ -107,12 +150,12 @@ def database(
"['training','PrIMe'].")
rmg.kinetics_depositories = kineticsDepositories
- if kineticsFamilies in ('default', 'all', 'none'):
+ if kineticsFamilies in ('default', 'all', 'none', 'auto'):
rmg.kinetics_families = kineticsFamilies
else:
if not isinstance(kineticsFamilies, list):
- raise InputError("kineticsFamilies should be either 'default', 'all', 'none', or a list of names eg. "
- "['H_Abstraction','R_Recombination'] or ['!Intra_Disproportionation'].")
+ raise InputError("kineticsFamilies should be either 'default', 'all', 'none', 'auto', or a list of names "
+ "eg. ['H_Abstraction','R_Recombination'] or ['!Intra_Disproportionation'].")
rmg.kinetics_families = kineticsFamilies
rmg.adsorption_groups = adsorptionGroups
@@ -120,7 +163,8 @@ def database(
def catalyst_properties(bindingEnergies=None,
surfaceSiteDensity=None,
metal=None,
- coverageDependence=False):
+ coverageDependence=False,
+ thermoCoverageDependence=False,):
"""
Specify the properties of the catalyst.
Binding energies of C,H,O,N atoms, and the surface site density.
@@ -167,6 +211,7 @@ def catalyst_properties(bindingEnergies=None,
else:
logging.info("Coverage dependence is turned OFF")
rmg.coverage_dependence = coverageDependence
+ rmg.thermo_coverage_dependence = thermoCoverageDependence
def convert_binding_energies(binding_energies):
"""
@@ -190,6 +235,15 @@ def convert_binding_energies(binding_energies):
return new_dict
+def core_species_file(species_dictionary_file):
+ # all species here are assumed to be reactive
+ new_species_dict = load_species_dictionary(species_dictionary_file)
+ for key in new_species_dict:
+ label = new_species_dict[key].label
+ structure = new_species_dict[key].molecule[0]
+ species(label, structure, reactive=True, cut=False, size_threshold=None)
+
+
def species(label, structure, reactive=True, cut=False, size_threshold=None):
logging.debug('Found {0} species "{1}" ({2})'.format('reactive' if reactive else 'nonreactive',
label,
@@ -1088,7 +1142,8 @@ def surface_reactor(temperature,
sensitive_species=sensitive_species,
sensitivity_threshold=sensitivityThreshold,
sens_conditions=sens_conditions,
- coverage_dependence=rmg.coverage_dependence)
+ coverage_dependence=rmg.coverage_dependence,
+ thermo_coverage_dependence=rmg.thermo_coverage_dependence)
rmg.reaction_systems.append(system)
system.log_initial_conditions(number=len(rmg.reaction_systems))
@@ -1326,6 +1381,7 @@ def pressure_dependence(
minimumNumberOfGrains=0,
interpolation=None,
maximumAtoms=None,
+ completedNetworks=None,
):
from arkane.pdep import PressureDependenceJob
@@ -1367,11 +1423,73 @@ def pressure_dependence(
rmg.pressure_dependence.active_k_rotor = True
rmg.pressure_dependence.rmgmode = True
+ if completedNetworks:
+ for formula in completedNetworks:
+ rmg.reaction_model.add_completed_pdep_network(formula)
+
+
+def _parse_writer_config(value, default_save_interval=1):
+ """
+ Parse an output-writer configuration value from an input file.
+
+ Parameters
+ ----------
+ value : bool or dict
+ ``False`` disables the writer. ``True`` enables it with
+ *default_save_interval*. A dict may contain the keys
+ ``'saveInterval'`` (int) and ``'saveEdge'`` (bool).
+ default_save_interval : int
+ Save interval to use when ``value`` is ``True``.
+
+ Returns
+ -------
+ WriterConfig
+ """
+ if value is False:
+ return WriterConfig(save_interval=0)
+ if value is True:
+ return WriterConfig(save_interval=default_save_interval)
+ if isinstance(value, dict):
+ allowed = {'saveInterval', 'saveEdge'}
+ unknown = set(value) - allowed
+ if unknown:
+ raise InputError(
+ f"Writer config has unknown key(s) {sorted(unknown)!r}. "
+ f"Allowed keys are: {sorted(allowed)!r}."
+ )
+ si = value.get('saveInterval', default_save_interval)
+ return WriterConfig(
+ save_interval=si,
+ save_edge=value.get('saveEdge', None),
+ )
+ raise InputError(
+ f"Writer config must be True, False, or a dict with keys "
+ f"'saveInterval', 'saveEdge'; got {type(value).__name__!r}"
+ )
+
+
+def _writer_config_to_input(cfg):
+ """
+ Serialize a WriterConfig back to a value suitable for writing into an
+ RMG input file (i.e. ``True``, ``False``, or a dict literal string).
+ """
+ if cfg is None or not cfg.enabled:
+ return False
+ has_overrides = (cfg.save_edge is not None)
+ if cfg.save_interval == 1 and not has_overrides:
+ return True
+ parts = [f"'saveInterval': {cfg.save_interval}"]
+ if cfg.save_edge is not None:
+ parts.append(f"'saveEdge': {cfg.save_edge}")
+ return '{' + ', '.join(parts) + '}'
+
def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=False, units='si', saveRestartPeriod=None,
- generateOutputHTML=False, generatePlots=False, saveSimulationProfiles=False, verboseComments=False,
- saveEdgeSpecies=False, keepIrreversible=False, trimolecularProductReversible=True, wallTime='00:00:00:00',
- saveSeedModulus=-1):
+ generateOutputHTML=False, generatePlots=False, generatePESDiagrams=False, saveSimulationProfiles=False,
+ verboseComments=False, saveEdgeSpecies=False, keepIrreversible=False,
+ trimolecularProductReversible=True, wallTime='00:00:00:00', saveSeedModulus=-1,
+ generateChemkin=True, generateRMSYAML=True,
+ generateCanteraYAML1=False, generateCanteraYAML2=False):
if saveRestartPeriod:
logging.warning("`saveRestartPeriod` flag was set in the input file, but this feature has been removed. Please "
"remove this line from the input file. This will throw an error after RMG-Py 3.1. For "
@@ -1384,8 +1502,11 @@ def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=Fals
rmg.units = units
if generateOutputHTML:
logging.warning('Generate Output HTML option was turned on. Note that this will slow down model generation.')
- rmg.generate_output_html = generateOutputHTML
+ rmg.generate_output_html = bool(generateOutputHTML)
rmg.generate_plots = generatePlots
+ rmg.generate_PES_diagrams = generatePESDiagrams
+ if generatePESDiagrams:
+ logging.info('Potential Energy Surface diagrams will be generated in the "pdep" folder.')
rmg.save_simulation_profiles = saveSimulationProfiles
rmg.verbose_comments = verboseComments
if saveEdgeSpecies:
@@ -1397,6 +1518,12 @@ def options(name='Seed', generateSeedEachIteration=True, saveSeedToDatabase=Fals
rmg.walltime = wallTime
rmg.save_seed_modulus = saveSeedModulus
+ rmg.chemkin_writer_config = _parse_writer_config(generateChemkin)
+ rmg.rms_writer_config = _parse_writer_config(generateRMSYAML)
+ rmg.cantera1_writer_config = _parse_writer_config(generateCanteraYAML1)
+ rmg.cantera2_writer_config = _parse_writer_config(generateCanteraYAML2)
+ rmg.html_writer_config = _parse_writer_config(generateOutputHTML)
+
def generated_species_constraints(**kwargs):
valid_constraints = [
@@ -1412,6 +1539,7 @@ def generated_species_constraints(**kwargs):
'maximumRadicalElectrons',
'maximumSingletCarbenes',
'maximumCarbeneRadicals',
+ 'maximumFusedRingSystemSize',
'allowSingletO2',
'speciesCuttingThreshold',
]
@@ -1552,6 +1680,7 @@ def read_input_file(path, rmg0):
'False': False,
'database': database,
'catalystProperties': catalyst_properties,
+ 'coreSpeciesFile': core_species_file,
'species': species,
'forbidden': forbidden,
'SMARTS': smarts,
@@ -1640,6 +1769,8 @@ def read_thermo_input_file(path, rmg0):
rmg.reaction_model = CoreEdgeReactionModel()
rmg.initial_species = []
rmg.reaction_systems = []
+ if rmg.output_directory is None:
+ rmg.output_directory = os.path.dirname(full_path)
species_dict = {}
global_context = {'__builtins__': None}
@@ -1696,12 +1827,16 @@ def save_input_file(path, rmg):
f.write(' kineticsEstimator = {0!r},\n'.format(rmg.kinetics_estimator))
f.write(')\n\n')
- if rmg.surfaceSiteDenisty or rmg.binding_energies:
+ if rmg.surface_site_density or rmg.binding_energies:
f.write('catalystProperties(\n')
- if rmg.surfaceSiteDenisty:
- f.write(' surface_site_density = {0!r},'.format(rmg.surface_site_density))
+ if rmg.surface_site_density:
+ f.write(' surfaceSiteDensity = ({0:g}, "{1!s}"),'.format(rmg.surface_site_density.value, rmg.surface_site_density.units) + '\n')
if rmg.binding_energies:
- f.write(' binding_energies = {0!r},'.format(rmg.binding_energies))
+ f.write(' bindingEnergies = {\n')
+ for spc, be in rmg.binding_energies.items():
+ f.write(' "{0!s}": ({1:g}, "{2!s}"),\n'.format(spc, be.value, be.units))
+ f.write(' },\n')
+
f.write(')\n\n')
# Species
@@ -1715,23 +1850,59 @@ def save_input_file(path, rmg):
f.write('"""),\n')
f.write(')\n\n')
+ def format_temperature(system):
+ """Get temperature string format for reaction system, whether single value or range"""
+ if system.T is not None:
+ return '({0:g},"{1!s}")'.format(system.T.value, system.T.units)
+
+ return f'[({system.Trange[0].value:g}, "{system.Trange[0].units}"), ({system.Trange[1].value:g}, "{system.Trange[1].units}")],'
+
+ def format_pressure(system):
+ """Get pressure string format for reaction system, whether single value or range"""
+ if system.P is not None:
+ return '({0:g},"{1!s}")'.format(system.P.value, system.P.units)
+
+ return f'[({system.Prange[0].value:g}, "{system.Prange[0].units}"), ({system.Prange[1].value:g}, "{system.Prange[1].units}")],'
+
+ def format_initial_mole_fractions(system):
+ """Get initial mole fractions string format for reaction system"""
+ mole_fractions = ''
+ for spcs, molfrac in system.initial_mole_fractions.items():
+ if isinstance(molfrac, list):
+ mole_fractions += ' "{0!s}": [{1:g}, {2:g}],\n'.format(spcs.label, molfrac[0], molfrac[1])
+ else:
+ mole_fractions += ' "{0!s}": {1:g},\n'.format(spcs.label, molfrac)
+ return mole_fractions
+
+
# Reaction systems
for system in rmg.reaction_systems:
if rmg.solvent:
f.write('liquidReactor(\n')
- f.write(' temperature = ({0:g},"{1!s}"),\n'.format(system.T.value, system.T.units))
+ f.write(' temperature = ' + format_temperature(system) + '\n')
f.write(' initialConcentrations={\n')
for spcs, conc in system.initial_concentrations.items():
+ # conc may have been converted to SI, so we need to convert back
+ if type(conc) == float:
+ conc = Quantity(conc, Concentration.units)
f.write(' "{0!s}": ({1:g},"{2!s}"),\n'.format(spcs.label, conc.value, conc.units))
+ elif isinstance(system, SurfaceReactor):
+ f.write('surfaceReactor(\n')
+ f.write(' temperature = ' + format_temperature(system) + '\n')
+ f.write(' initialPressure = ({0:g},"{1!s}"),\n'.format(system.P_initial.value, system.P_initial.units))
+ f.write(' initialGasMoleFractions={\n')
+ for spcs, molfrac in system.initial_gas_mole_fractions.items():
+ f.write(' "{0!s}": {1:g},\n'.format(spcs.label, molfrac))
+ f.write(' },\n')
+ f.write(' initialSurfaceCoverages={\n')
+ for spcs, cov in system.initial_surface_coverages.items():
+ f.write(' "{0!s}": {1:g},\n'.format(spcs.label, cov))
else:
f.write('simpleReactor(\n')
- f.write(' temperature = ({0:g},"{1!s}"),\n'.format(system.T.value, system.T.units))
- # Convert the pressure from SI pascal units to bar here
- # Do something more fancy later for converting to user's desired units for both T and P..
- f.write(' pressure = ({0:g},"{1!s}"),\n'.format(system.P.value, system.P.units))
+ f.write(' temperature = ' + format_temperature(system) + '\n')
+ f.write(' pressure = ' + format_pressure(system) + '\n')
f.write(' initialMoleFractions={\n')
- for spcs, molfrac in system.initial_mole_fractions.items():
- f.write(' "{0!s}": {1:g},\n'.format(spcs.label, molfrac))
+ f.write(format_initial_mole_fractions(system))
f.write(' },\n')
# Termination criteria
@@ -1739,9 +1910,12 @@ def save_input_file(path, rmg):
for term in system.termination:
if isinstance(term, TerminationTime):
f.write(' terminationTime = ({0:g},"{1!s}"),\n'.format(term.time.value, term.time.units))
-
- else:
+ elif isinstance(term, TerminationRateRatio):
+ f.write(' terminationRateRatio = {0:g},\n'.format(term.ratio))
+ elif isinstance(term, TerminationConversion):
conversions += ' "{0:s}": {1:g},\n'.format(term.species.label, term.conversion)
+ else:
+ raise NotImplementedError('Termination criteria of type {0} not supported'.format(type(term)))
if conversions:
f.write(' terminationConversion = {\n')
f.write(conversions)
@@ -1784,9 +1958,9 @@ def save_input_file(path, rmg):
if rmg.pressure_dependence:
f.write('pressureDependence(\n')
f.write(' method = {0!r},\n'.format(rmg.pressure_dependence.method))
- f.write(' maximumGrainSize = ({0:g},"{1!s}"),\n'.format(rmg.pressure_dependence.grain_size.value,
- rmg.pressure_dependence.grain_size.units))
- f.write(' minimumNumberOfGrains = {0},\n'.format(rmg.pressure_dependence.grain_count))
+ f.write(' maximumGrainSize = ({0:g},"{1!s}"),\n'.format(rmg.pressure_dependence.maximum_grain_size.value,
+ rmg.pressure_dependence.maximum_grain_size.units))
+ f.write(' minimumNumberOfGrains = {0},\n'.format(rmg.pressure_dependence.minimum_grain_count))
f.write(' temperatures = ({0:g},{1:g},"{2!s}",{3:d}),\n'.format(
rmg.pressure_dependence.Tmin.value,
rmg.pressure_dependence.Tmax.value,
@@ -1801,6 +1975,11 @@ def save_input_file(path, rmg):
))
f.write(' interpolation = {0},\n'.format(rmg.pressure_dependence.interpolation_model))
f.write(' maximumAtoms = {0}, \n'.format(rmg.pressure_dependence.maximum_atoms))
+ if rmg.reaction_model.completed_pdep_networks:
+ def formula(elements):
+ return ''.join(f'{el}{count}' if count > 1 else f'{el}' for el, count in elements)
+ f.write(' completedNetworks = {0},\n'.format(
+ [formula(net) for net in rmg.reaction_model.completed_pdep_networks]))
f.write(')\n\n')
# Quantum Mechanics
@@ -1833,14 +2012,21 @@ def save_input_file(path, rmg):
# Options
f.write('options(\n')
f.write(' units = "{0}",\n'.format(rmg.units))
- f.write(' generateOutputHTML = {0},\n'.format(rmg.generate_output_html))
+ f.write(' generateOutputHTML = {0},\n'.format(_writer_config_to_input(rmg.html_writer_config)))
f.write(' generatePlots = {0},\n'.format(rmg.generate_plots))
+ f.write(' generatePESDiagrams = {0},\n'.format(rmg.generate_PES_diagrams))
f.write(' saveSimulationProfiles = {0},\n'.format(rmg.save_simulation_profiles))
f.write(' saveEdgeSpecies = {0},\n'.format(rmg.save_edge_species))
f.write(' keepIrreversible = {0},\n'.format(rmg.keep_irreversible))
f.write(' trimolecularProductReversible = {0},\n'.format(rmg.trimolecular_product_reversible))
f.write(' verboseComments = {0},\n'.format(rmg.verbose_comments))
f.write(' wallTime = {0},\n'.format(rmg.walltime))
+ f.write(' generateChemkin = {0},\n'.format(_writer_config_to_input(rmg.chemkin_writer_config)))
+ f.write(' generateRMSYAML = {0},\n'.format(_writer_config_to_input(rmg.rms_writer_config)))
+ if rmg.cantera1_writer_config and rmg.cantera1_writer_config.enabled:
+ f.write(' generateCanteraYAML1 = {0},\n'.format(_writer_config_to_input(rmg.cantera1_writer_config)))
+ if rmg.cantera2_writer_config and rmg.cantera2_writer_config.enabled:
+ f.write(' generateCanteraYAML2 = {0},\n'.format(_writer_config_to_input(rmg.cantera2_writer_config)))
f.write(')\n\n')
f.close()
diff --git a/rmgpy/rmg/listener.py b/rmgpy/rmg/listener.py
index 287d635c268..40d2a2708aa 100644
--- a/rmgpy/rmg/listener.py
+++ b/rmgpy/rmg/listener.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py
index 11a885deed7..eaa4a732eba 100644
--- a/rmgpy/rmg/main.py
+++ b/rmgpy/rmg/main.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -37,11 +37,11 @@
import logging
import marshal
import os
+import re
import resource
import shutil
import sys
import time
-import warnings
from copy import deepcopy
import h5py
@@ -55,9 +55,9 @@
from rmgpy import settings
from rmgpy.chemkin import ChemkinWriter
from rmgpy.constraints import fails_species_constraints
+from rmgpy.data.auto_database import auto_select_libraries, to_reaction_library_tuples
from rmgpy.data.base import Entry
-from rmgpy.data.kinetics.family import TemplateReaction
-from rmgpy.data.kinetics.library import KineticsLibrary, LibraryReaction
+from rmgpy.data.kinetics.library import KineticsLibrary
from rmgpy.data.rmg import RMGDatabase
from rmgpy.data.vaporLiquidMassTransfer import vapor_liquid_mass_transfer
from rmgpy.exceptions import (
@@ -74,16 +74,18 @@
from rmgpy.rmg.listener import SimulationProfilePlotter, SimulationProfileWriter
from rmgpy.rmg.model import CoreEdgeReactionModel, Species
from rmgpy.rmg.output import OutputHTMLWriter
-from rmgpy.rmg.pdep import PDepNetwork, PDepReaction
+from rmgpy.rmg.pdep import PDepNetwork
from rmgpy.rmg.reactionmechanismsimulator_reactors import Reactor as RMSReactor
-from rmgpy.rmg.settings import ModelSettings
-from rmgpy.solver.base import TerminationConversion, TerminationTime
-from rmgpy.solver.simple import SimpleReactor
+from rmgpy.rmg.settings import ModelSettings, WriterConfig
+from rmgpy.solver.base import TerminationTime
from rmgpy.stats import ExecutionStatsWriter
from rmgpy.thermo.thermoengine import submit
from rmgpy.tools.plot import plot_sensitivity
+from rmgpy.tools.compare_cantera_yaml import compare_yaml_files, compare_yaml_files_and_report
from rmgpy.tools.uncertainty import Uncertainty, process_local_results
-from rmgpy.yml import RMSWriter
+from rmgpy.yaml_rms import RMSWriter
+from rmgpy.yaml_cantera1 import CanteraWriter1
+from rmgpy.yaml_cantera2 import CanteraWriter2
################################################################################
@@ -143,8 +145,15 @@ class RMG(util.Subject):
`units` The unit system to use to save output files (currently must be 'si')
`generate_output_html` ``True`` to draw pictures of the species and reactions, saving a visualized model in an output HTML file. ``False`` otherwise
`generate_plots` ``True`` to generate plots of the job execution statistics after each iteration, ``False`` otherwise
- `verbose_comments` ``True`` to keep the verbose comments for database estimates, ``False`` otherwise
- `save_edge_species` ``True`` to save chemkin and HTML files of the edge species, ``False`` otherwise
+ `generate_PES_diagrams` ``True`` to generate potential energy surface diagrams for pressure dependent networks in the model, ``False`` otherwise
+ `verbose_comments` ``True`` to keep the verbose comments for database estimates, ``False`` otherwise (global fallback when writer config does not override)
+ `save_edge_species` ``True`` to save chemkin and HTML files of the edge species, ``False`` otherwise (global fallback when writer config does not override)
+ `chemkin_writer_config` :class:`WriterConfig` controlling when the Chemkin writer runs and its per-writer options
+ `rms_writer_config` :class:`WriterConfig` controlling when the RMS YAML writer runs and its per-writer options
+ `cantera1_writer_config` :class:`WriterConfig` controlling when CanteraWriter1 runs and its per-writer options
+ `cantera2_writer_config` :class:`WriterConfig` controlling when CanteraWriter2 runs and its per-writer options
+ `html_writer_config` :class:`WriterConfig` controlling when the HTML writer runs and its per-writer options
+ `is_final_save` Set to ``True`` immediately before the end-of-run ``save_everything()`` call so writers know it is the final notification
`keep_irreversible` ``True`` to keep ireversibility of library reactions as is ('<=>' or '=>'). ``False`` (default) to force all library reactions to be reversible ('<=>')
`trimolecular_product_reversible` ``True`` (default) to allow families with trimolecular products to react in the reverse direction, ``False`` otherwise
`pressure_dependence` Whether to process unimolecular (pressure-dependent) reaction networks
@@ -184,6 +193,7 @@ def clear(self):
self.thermo_libraries = None
self.transport_libraries = None
self.reaction_libraries = None
+ self.reaction_libraries_output_edge = set()
self.statmech_libraries = None
self.seed_mechanisms = None
self.kinetics_families = None
@@ -195,6 +205,7 @@ def clear(self):
self.surface_site_density = None
self.binding_energies = None
self.coverage_dependence = False
+ self.thermo_coverage_dependence = False
self.forbidden_structures = []
self.reaction_model = None
@@ -222,9 +233,16 @@ def clear(self):
self.units = "si"
self.generate_output_html = None
self.generate_plots = None
+ self.generate_PES_diagrams = None
self.save_simulation_profiles = None
self.verbose_comments = None
self.save_edge_species = None
+ self.chemkin_writer_config = None
+ self.rms_writer_config = None
+ self.cantera1_writer_config = None
+ self.cantera2_writer_config = None
+ self.html_writer_config = None
+ self.is_final_save = False
self.keep_irreversible = None
self.trimolecular_product_reversible = None
self.pressure_dependence = None
@@ -253,6 +271,19 @@ def clear(self):
self.exec_time = []
self.liquid_volumetric_mass_transfer_coefficient_power_law = None
+ @staticmethod
+ def _parse_walltime_to_seconds(walltime):
+ """
+ Convert walltime string DD:HH:MM:SS to seconds.
+ """
+ data = walltime.split(":")
+ if len(data) != 4:
+ raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(walltime))
+ try:
+ return int(data[-1]) + 60 * int(data[-2]) + 3600 * int(data[-3]) + 86400 * int(data[-4])
+ except ValueError as exc:
+ raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(walltime)) from exc
+
def load_input(self, path=None):
"""
Load an RMG job from the input file located at `input_file`, or
@@ -271,6 +302,7 @@ def load_input(self, path=None):
if self.pressure_dependence:
self.pressure_dependence.output_file = self.output_directory
self.reaction_model.pressure_dependence = self.pressure_dependence
+ self.pressure_dependence.generate_PES_diagrams = self.generate_PES_diagrams
if self.solvent:
self.reaction_model.solvent_name = self.solvent
@@ -396,6 +428,10 @@ def save_input(self, path=None):
save_input_file(path, self)
def load_database(self):
+ if "SIDT" in self.adsorption_groups:
+ Pt111_adsorption = "adsorptionSIDTPt111"
+ else:
+ Pt111_adsorption = "adsorptionPt111"
self.database = RMGDatabase()
self.database.load(
path=self.database_directory,
@@ -406,7 +442,7 @@ def load_database(self):
kinetics_families=self.kinetics_families,
kinetics_depositories=self.kinetics_depositories,
statmech_libraries = self.statmech_libraries,
- adsorption_groups='adsorptionPt111', # use Pt111 groups for training reactions
+ adsorption_groups=Pt111_adsorption, # use Pt111 groups for training reactions
# frequenciesLibraries = self.statmech_libraries,
depository=False, # Don't bother loading the depository information, as we don't use it
)
@@ -510,7 +546,7 @@ def initialize(self, **kwargs):
# Read input file
self.load_input(self.input_file)
-
+
# Check if ReactionMechanismSimulator reactors are being used
# if RMS is not installed but the user attempted to use it, the load_input_file would have failed
# if RMS is not installed and they did not use it, we avoid calling certain functions that would raise an error
@@ -523,6 +559,7 @@ def initialize(self, **kwargs):
self.reaction_model.core.phase_system.phases["Surface"].site_density = self.surface_site_density.value_si
self.reaction_model.edge.phase_system.phases["Surface"].site_density = self.surface_site_density.value_si
self.reaction_model.coverage_dependence = self.coverage_dependence
+ self.reaction_model.thermo_coverage_dependence = self.thermo_coverage_dependence
if kwargs.get("restart", ""):
import rmgpy.rmg.input
@@ -562,6 +599,33 @@ def initialize(self, **kwargs):
)
)
+ if "walltime" in kwargs:
+ logging.info(
+ "Overriding walltime from input file (%s) with command-line value (%s).",
+ self.walltime,
+ kwargs["walltime"],
+ )
+ self.walltime = kwargs["walltime"]
+
+ if "max_iterations" in kwargs:
+ logging.info(
+ "Overriding max_iterations from input file (%s) with command-line value (%s).",
+ self.max_iterations,
+ kwargs["max_iterations"],
+ )
+ self.max_iterations = kwargs["max_iterations"]
+
+ self.walltime = self._parse_walltime_to_seconds(self.walltime)
+
+ # Auto-select libraries if any field uses 'auto' or ''
+ auto_select_libraries(self)
+
+ # Convert reaction libraries from plain strings to (name, bool) tuples
+ # (the bool controls whether unused edge reactions are written to the chemkin output)
+ if isinstance(self.reaction_libraries, list):
+ output_edge = getattr(self, 'reaction_libraries_output_edge', set())
+ self.reaction_libraries = to_reaction_library_tuples(self.reaction_libraries, output_edge)
+
# Load databases
self.load_database()
@@ -584,9 +648,9 @@ def initialize(self, **kwargs):
shutil.copyfile(self.species_map_path, os.path.join(filters_restart, "species_map.yml"))
# Load the seed mechanism to get the core and edge species
- self.database.kinetics.load_libraries(restart_dir, libraries=["restart", "restart_edge"])
+ self.database.kinetics.load_libraries(restart_dir)#, libraries=["restart", "restart_edge"])
self.seed_mechanisms.append("restart")
- self.reaction_libraries.append(("restart_edge", False))
+# self.reaction_libraries.append(("restart_edge", False))
# Set trimolecular reactant flags of reaction systems
if self.trimolecular:
@@ -630,26 +694,10 @@ def initialize(self, **kwargs):
if reaction_system.T:
reaction_system.viscosity = solvent_data.get_solvent_viscosity(reaction_system.T.value_si)
- try:
- self.walltime = kwargs["walltime"]
- except KeyError:
- pass
-
- try:
- self.max_iterations = kwargs["max_iterations"]
- except KeyError:
- pass
-
- data = self.walltime.split(":")
- if not len(data) == 4:
- raise ValueError("Invalid format for wall time {0}; should be DD:HH:MM:SS.".format(self.walltime))
- self.walltime = int(data[-1]) + 60 * int(data[-2]) + 3600 * int(data[-3]) + 86400 * int(data[-4])
-
# Initialize reaction model
for spec in self.initial_species:
- if spec.reactive:
- submit(spec, self.solvent)
+ submit(spec, self.solvent)
if vapor_liquid_mass_transfer.enabled:
spec.get_liquid_volumetric_mass_transfer_coefficient_data()
spec.get_henry_law_constant_data()
@@ -686,14 +734,15 @@ def initialize(self, **kwargs):
"Input species {0} is globally forbidden. You may explicitly "
"allow it by adding 'input species' to the `generatedSpeciesConstraints` `allowed` list.".format(spec.label)
)
- if fails_species_constraints(spec):
+ reason = fails_species_constraints(spec)
+ if reason:
if "allowed" in self.species_constraints and "input species" in self.species_constraints["allowed"]:
self.species_constraints["explicitlyAllowedMolecules"].append(spec.molecule[0])
else:
raise ForbiddenStructureException(
"Species constraints forbids input species {0}. Please "
"reformulate constraints, remove the species, or explicitly "
- "allow it.".format(spec.label)
+ "allow it. Reason: {1}".format(spec.label, reason)
)
# For liquidReactor, checks whether the solvent is listed as one of the initial species.
@@ -767,12 +816,35 @@ def register_listeners(self, requires_rms=False):
found in the RMG input file.
"""
- self.attach(ChemkinWriter(self.output_directory))
- if requires_rms:
- self.attach(RMSWriter(self.output_directory))
+ cfg_chemkin = self.chemkin_writer_config or WriterConfig(save_interval=1)
+ cfg_rms = self.rms_writer_config or WriterConfig(save_interval=1)
+ cfg_cantera1 = self.cantera1_writer_config or WriterConfig(save_interval=0)
+ cfg_cantera2 = self.cantera2_writer_config or WriterConfig(save_interval=0)
+ cfg_html = self.html_writer_config or WriterConfig(save_interval=0)
- if self.generate_output_html:
- self.attach(OutputHTMLWriter(self.output_directory))
+ if cfg_chemkin.enabled:
+ self.attach(ChemkinWriter(self.output_directory, cfg_chemkin))
+ else:
+ for stale in ("chemkin", "cantera_from_ck"):
+ stale_dir = os.path.join(self.output_directory, stale)
+ if os.path.isdir(stale_dir):
+ shutil.rmtree(stale_dir)
+ if cfg_rms.enabled:
+ self.attach(RMSWriter(self.output_directory, cfg_rms))
+ if cfg_cantera1.enabled:
+ self.attach(CanteraWriter1(self.output_directory, cfg_cantera1))
+ else:
+ stale_dir = os.path.join(self.output_directory, "cantera1")
+ if os.path.isdir(stale_dir):
+ shutil.rmtree(stale_dir)
+ if cfg_cantera2.enabled:
+ self.attach(CanteraWriter2(self.output_directory, cfg_cantera2))
+ else:
+ stale_dir = os.path.join(self.output_directory, "cantera2")
+ if os.path.isdir(stale_dir):
+ shutil.rmtree(stale_dir)
+ if cfg_html.enabled:
+ self.attach(OutputHTMLWriter(self.output_directory, cfg_html))
if self.quantum_mechanics:
self.attach(QMDatabaseWriter())
@@ -892,6 +964,7 @@ def execute(self, initialize=True, **kwargs):
self.make_seed_mech()
max_num_spcs_hit = False # default
+ end_early = False
for q, model_settings in enumerate(self.model_settings_list):
if len(self.simulator_settings_list) > 1:
@@ -901,7 +974,7 @@ def execute(self, initialize=True, **kwargs):
self.filter_reactions = model_settings.filter_reactions
- logging.info("Beginning model generation stage {0}...\n".format(q + 1))
+ logging.info(f"Beginning model generation stage {q + 1} of {len(self.model_settings_list)}.\n")
self.done = False
@@ -1196,7 +1269,8 @@ def execute(self, initialize=True, **kwargs):
core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size()
logging.info("The current model core has %s species and %s reactions" % (core_spec, core_reac))
logging.info("The current model edge has %s species and %s reactions" % (edge_spec, edge_reac))
- return
+ end_early = True
+ break
if self.max_iterations and (self.reaction_model.iteration_num >= self.max_iterations):
logging.info("MODEL GENERATION TERMINATED")
@@ -1207,31 +1281,121 @@ def execute(self, initialize=True, **kwargs):
core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size()
logging.info("The current model core has %s species and %s reactions" % (core_spec, core_reac))
logging.info("The current model edge has %s species and %s reactions" % (edge_spec, edge_reac))
- return
+ end_early = True
+ break
if max_num_spcs_hit: # resets maxNumSpcsHit and continues the settings for loop
logging.info("The maximum number of species ({0}) has been hit, Exiting stage {1} ...".format(model_settings.max_num_species, q + 1))
max_num_spcs_hit = False
+ if end_early: # breaks the settings for loop
+ break
+
+ self.reaction_model.iteration_num += 1
# Save the final seed mechanism
self.make_seed_mech()
+ # Notify all writers that this is the final save (end-of-run).
+ # Writers configured with saveInterval=-1 will write only here.
+ # Writers configured with saveInterval>0 will also write here
+ # unless they already wrote on this iteration.
+ self.is_final_save = True
+ self.save_everything()
+ self.is_final_save = False
+
self.run_model_analysis()
- # generate Cantera files chem.yaml & chem_annotated.yaml in a designated `cantera` output folder
+ # generate Cantera files in designated Cantera output folders. The direct
+ # writers (cantera1/, cantera2/) already wrote chem_annotated{NNNN}.yaml +
+ # chem_annotated.yaml each iteration. End-of-run we also produce the
+ # notes-stripped chem.yaml (and chem_edge.yaml when present), mirroring
+ # Chemkin's chem.inp / chem_annotated.inp split, and run the comparison.
try:
- if any([s.contains_surface_site() for s in self.reaction_model.core.species]):
- self.generate_cantera_files(
- os.path.join(self.output_directory, "chemkin", "chem-gas.inp"),
- surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")),
+ translated_cantera_file = None
+ if self.chemkin_writer_config and self.chemkin_writer_config.enabled:
+ logging.info("Translating final chemkin file into Cantera yaml.")
+ if any([s.contains_surface_site() for s in self.reaction_model.core.species]):
+ # Surface (catalytic) chemistry
+ translated_cantera_file = self.generate_cantera_files_from_chemkin(
+ os.path.join(self.output_directory, "chemkin", "chem-gas.inp"),
+ surface_file=(os.path.join(self.output_directory, "chemkin", "chem-surface.inp")),
+ )
+ annotated_gas = os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp")
+ if os.path.exists(annotated_gas):
+ self.generate_cantera_files_from_chemkin(
+ annotated_gas,
+ surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")),
+ )
+
+ if self.thermo_coverage_dependence:
+ # Build coverage_deps: {species_name: string_to_add_to_yaml}
+ coverage_deps = {}
+ for s in self.reaction_model.core.species:
+ if s.contains_surface_site() and s.thermo.thermo_coverage_dependence:
+ s_name = s.to_chemkin()
+ for dep_sp_adj, parameters in s.thermo.thermo_coverage_dependence.items():
+ mol = Molecule().from_adjacency_list(dep_sp_adj)
+ for sp in self.reaction_model.core.species:
+ if sp.is_isomorphic(mol, strict=False):
+ if s_name not in coverage_deps:
+ coverage_deps[s_name] = ' coverage-dependencies:'
+ coverage_deps[s_name] += f"""
+ {sp.to_chemkin()}:
+ model: {parameters['model']}
+ enthalpy-coefficients: {[v.value_si for v in parameters['enthalpy-coefficients']]}
+ entropy-coefficients: {[v.value_si for v in parameters['entropy-coefficients']]}
+ units: {{energy: J, quantity: mol}}
+"""
+ break
+
+ for yaml_path in [
+ os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml"),
+ os.path.join(self.output_directory, "cantera_from_ck", "chem_annotated.yaml"),
+ ]:
+ if os.path.exists(yaml_path):
+ _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps)
+
+ else: # gas phase only
+ translated_cantera_file = self.generate_cantera_files_from_chemkin(
+ os.path.join(self.output_directory, "chemkin", "chem.inp")
+ )
+ annotated = os.path.join(self.output_directory, "chemkin", "chem_annotated.inp")
+ if os.path.exists(annotated):
+ self.generate_cantera_files_from_chemkin(annotated)
+
+ # Strip transport notes from the ck2yaml file so it matches the
+ # notes-stripped variants below.
+ ck_chem_yaml = os.path.join(self.output_directory, "cantera_from_ck", "chem.yaml")
+ util.strip_yaml_notes(ck_chem_yaml, ck_chem_yaml)
+
+ # Produce notes-stripped chem.yaml / chem_edge.yaml end-of-run for
+ # each direct Cantera writer (mirrors Chemkin's chem.inp).
+ for writer_dir, writer_cfg in (
+ ("cantera1", self.cantera1_writer_config),
+ ("cantera2", self.cantera2_writer_config),
+ ):
+ if not (writer_cfg and writer_cfg.enabled):
+ continue
+ writer_path = os.path.join(self.output_directory, writer_dir)
+ util.strip_yaml_notes(
+ os.path.join(writer_path, "chem_annotated.yaml"),
+ os.path.join(writer_path, "chem.yaml"),
)
- self.generate_cantera_files(
- os.path.join(self.output_directory, "chemkin", "chem_annotated-gas.inp"),
- surface_file=(os.path.join(self.output_directory, "chemkin", "chem_annotated-surface.inp")),
+ util.strip_yaml_notes(
+ os.path.join(writer_path, "chem_edge_annotated.yaml"),
+ os.path.join(writer_path, "chem_edge.yaml"),
)
- else: # gas phase only
- self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem.inp"))
- self.generate_cantera_files(os.path.join(self.output_directory, "chemkin", "chem_annotated.inp"))
+
+ # Compare translated Cantera files against directly generated Cantera files
+ if translated_cantera_file and self.cantera1_writer_config and self.cantera1_writer_config.enabled:
+ compare_yaml_files_and_report(translated_cantera_file,
+ os.path.join(self.output_directory, "cantera1", "chem.yaml"),
+ output=os.path.join(self.output_directory, "cantera1", "comparison_report.txt"))
+ if translated_cantera_file and self.cantera2_writer_config and self.cantera2_writer_config.enabled:
+ compare_yaml_files_and_report(translated_cantera_file,
+ os.path.join(self.output_directory, "cantera2", "chem.yaml"),
+ output=os.path.join(self.output_directory, "cantera2", "comparison_report.txt"))
+
except EnvironmentError:
logging.exception("Could not generate Cantera files due to EnvironmentError. Check read\\write privileges in output directory.")
except Exception:
@@ -1239,12 +1403,14 @@ def execute(self, initialize=True, **kwargs):
self.check_model()
# Write output file
- logging.info("")
- logging.info("MODEL GENERATION COMPLETED")
- logging.info("")
- core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size()
- logging.info("The final model core has %s species and %s reactions" % (core_spec, core_reac))
- logging.info("The final model edge has %s species and %s reactions" % (edge_spec, edge_reac))
+
+ if not end_early:
+ logging.info("")
+ logging.info("MODEL GENERATION COMPLETED")
+ logging.info("")
+ core_spec, core_reac, edge_spec, edge_reac = self.reaction_model.get_model_size()
+ logging.info("The final model core has %s species and %s reactions" % (core_spec, core_reac))
+ logging.info("The final model edge has %s species and %s reactions" % (edge_spec, edge_reac))
self.finish()
@@ -1802,14 +1968,15 @@ def process_reactions_to_species(self, obj):
raise TypeError("improper call, obj input was incorrect")
return potential_spcs
- def generate_cantera_files(self, chemkin_file, **kwargs):
+ def generate_cantera_files_from_chemkin(self, chemkin_file, **kwargs):
"""
Convert a chemkin mechanism chem.inp file to a cantera mechanism file chem.yaml
- and save it in the cantera directory
+ and save it in the cantera directory.
+ Returns the path to the generated cantera file.
"""
transport_file = os.path.join(os.path.dirname(chemkin_file), "tran.dat")
file_name = os.path.splitext(os.path.basename(chemkin_file))[0] + ".yaml"
- out_name = os.path.join(self.output_directory, "cantera", file_name)
+ out_name = os.path.join(self.output_directory, "cantera_from_ck", file_name)
if "surface_file" in kwargs:
out_name = out_name.replace("-gas.", ".")
cantera_dir = os.path.dirname(out_name)
@@ -1827,6 +1994,7 @@ def generate_cantera_files(self, chemkin_file, **kwargs):
logging.exception("Error converting to Cantera format.")
logging.info("Trying again without transport data file.")
parser.convert_mech(chemkin_file, out_name=out_name, quiet=True, permissive=True, **kwargs)
+ return out_name
def initialize_reaction_threshold_and_react_flags(self):
num_core_species = len(self.reaction_model.core.species)
@@ -2114,8 +2282,9 @@ def get_git_commit(self, module_path):
if os.path.exists(os.path.join(module_path, "..", ".git")):
try:
- return subprocess.check_output(["git", "log", "--format=%H%n%cd", "-1"], cwd=module_path).splitlines()
- except:
+ head, date = subprocess.check_output(["git", "log", "--format=%H%n%cd", "-1"], cwd=module_path).splitlines()
+ return head.decode(), date.decode()
+ except (subprocess.CalledProcessError, OSError):
return "", ""
else:
return "", ""
@@ -2324,7 +2493,7 @@ def calculate_cond(self, obj, Ndims, Ns=20):
Jout /= tot # normalize Jout
n = self.rand_state.uniform(0, 1, 1)[0] # draw a random number between 0 and 1
s = 0.0
- for indexes in np.ndenumerate(Jout): # choose a coordinate such that grid[indexes] is choosen with probability Jout[indexes]
+ for indexes in np.ndenumerate(Jout): # choose a coordinate such that grid[indexes] is chosen with probability Jout[indexes]
s += Jout[indexes[0]]
if s > n:
break
@@ -2392,13 +2561,52 @@ def obj(y):
self.scaled_condition_list.append(scaled_new_cond)
return
+def _add_coverage_dependence_to_cantera_yaml(yaml_path, coverage_deps):
+ """Modify a Cantera YAML file in-place to add coverage-dependent surface thermo.
+
+ Makes targeted text insertions rather than loading and re-dumping the whole
+ file, so original formatting is preserved everywhere except the new lines.
+
+ Args:
+ yaml_path: path to the Cantera YAML file to modify
+ coverage_deps: dict mapping species ChemKin names to their coverage-dependency string.
+ """
+ with open(yaml_path, 'r') as f:
+ content = f.read()
+
+ # --- Modify the surface phase ---
+ # Replace 'ideal-surface' with 'coverage-dependent-surface' and add reference-state-coverage.
+ content = content.replace(
+ ' thermo: ideal-surface\n',
+ ' thermo: coverage-dependent-surface\n reference-state-coverage: 0.11\n',
+ 1,
+ )
+
+ # --- Insert coverage-dependencies block after each relevant species entry ---
+ for species_name, deps in coverage_deps.items():
+ match = re.search(r'^- name: ' + re.escape(species_name) + r'\n', content, re.MULTILINE)
+ if not match:
+ logging.warning(
+ f"Species {species_name} not found in {yaml_path}; skipping coverage-dependency insertion."
+ )
+ continue
+
+ after = match.end()
+ end_match = re.search(r'\n(?=(?:- |\n|\w))', content[after:])
+ if end_match:
+ insert_pos = after + end_match.start() + 1
+ content = content[:insert_pos] + deps + content[insert_pos:]
+ else:
+ content = content.rstrip('\n') + '\n' + deps
+ with open(yaml_path, 'w') as f:
+ f.write(content)
def log_conditions(rmg_memories, index):
"""
log newly generated reactor conditions
"""
if rmg_memories[index].get_cond() is not None:
- s = "conditions choosen for reactor {0} were: ".format(index)
+ s = f"conditions chosen for reactor {index} were: "
for key, item in rmg_memories[index].get_cond().items():
if key == "T":
s += "T = {0} K, ".format(item)
diff --git a/rmgpy/rmg/model.py b/rmgpy/rmg/model.py
index d677755b079..c477332787a 100644
--- a/rmgpy/rmg/model.py
+++ b/rmgpy/rmg/model.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -35,6 +35,7 @@
import itertools
import logging
import os
+import re
import numpy as np
@@ -49,6 +50,7 @@
from rmgpy.display import display
from rmgpy.exceptions import ForbiddenStructureException
from rmgpy.kinetics import Arrhenius, KineticsData
+from rmgpy.kinetics.surface import StickingCoefficient
from rmgpy.molecule.fragment import Fragment
from rmgpy.molecule.group import Group
from rmgpy.quantity import Quantity
@@ -161,6 +163,26 @@ def merge(self, other):
# Return the merged model
return final_model
+ def get_elements(self):
+ """
+ Return the set of :class:`Element` singletons used by atoms of species
+ in this :class:`ReactionModel`. Iterates each species' first resonance
+ structure (``sp.molecule[0]``) and collects ``atom.element``. The
+ electron singleton is included when a species has nonzero net charge,
+ since Chemkin and Cantera use it for charge bookkeeping.
+ """
+ from rmgpy.molecule.element import e
+ elements = set()
+ for sp in self.species:
+ if not sp.molecule:
+ continue
+ mol = sp.molecule[0]
+ for atom in mol.atoms:
+ elements.add(atom.element)
+ if mol.get_net_charge() != 0:
+ elements.add(e)
+ return elements
+
################################################################################
@@ -248,6 +270,27 @@ def __init__(self, core=None, edge=None, surface=None):
"""
)
]
+ self.completed_pdep_networks = set()
+
+ def add_completed_pdep_network(self, formula):
+ """
+ Add a completed pressure-dependent network formula to the set.
+ """
+ # turn C2H4 into {'C':2,'H':4}
+ if not isinstance(formula, str):
+ raise TypeError("Expected string for formula, got {0}".format(formula.__class__))
+ pattern = r'([A-Z][a-z]?)(\d*)'
+ element_count = {}
+
+ for match in re.finditer(pattern, formula):
+ element = match.group(1)
+ count = int(match.group(2)) if match.group(2) else 1
+ element_count[element] = count
+ # must be hashable and match what is done in add_reaction_to_unimolecular_networks
+ key = tuple(sorted(element_count.items()))
+ self.completed_pdep_networks.add(key)
+ logging.info(f"Added {formula} to list of completed PDep networks that will not be further explored.")
+
def check_for_existing_species(self, molecule):
"""
@@ -343,10 +386,11 @@ def make_new_species(self, object, label="", reactive=True, check_existing=True,
spec.molecular_weight = Quantity(spec.molecule[0].get_molecular_weight() * 1000.0, "amu")
if generate_thermo:
- self.generate_thermo(spec)
+ # Rename from thermo library label only if no user-provided label exists yet.
+ self.generate_thermo(spec, rename=not bool(spec.label))
# If the species still does not have a label, set initial label as the SMILES
- # This may change later after getting thermo in self.generate_thermo()
+ # (applies when generate_thermo is False, or when no library match was found)
if not spec.label:
spec.label = spec.smiles
@@ -394,6 +438,12 @@ def check_for_existing_reaction(self, rxn):
in the reaction database are iterated over to check if a reaction was overlooked
(a reaction with a different "family" key as the parameter reaction).
+ Note, this function assumes RMG is making the mechanism through its main loop,
+ where all forward duplicates from a family are found in a single enlarge step.
+ If you artificially construct your own a core-edge model and forget to include a
+ duplicate from the same family, but then try to add the missing reaction from
+ the reverse direction, this function will find the existing forward reaction and
+ assume you've already found all the duplicates.
"""
# Make sure the reactant and product lists are sorted before performing the check
@@ -421,11 +471,28 @@ def check_for_existing_reaction(self, rxn):
if isinstance(family_obj, KineticsLibrary) or isinstance(family_obj, KineticsFamily):
if not rxn.duplicate:
return True, rxn0
+ elif (rxn.duplicate and rxn0.duplicate and isinstance(rxn, TemplateReaction)
+ and isinstance(rxn0, TemplateReaction) and rxn.template is not None
+ and rxn0.template is not None
+ and frozenset(rxn.template) == frozenset(rxn0.template)):
+ # Both reactions are duplicates (different templates for same species pair),
+ # but they use the same template - so this is a true duplicate that should
+ # not be added again
+ return True, rxn0
else:
return True, rxn0
elif isinstance(family_obj, KineticsFamily) and rxn_id == rxn_id0[::-1] and are_identical_species_references(rxn, rxn0):
if not rxn.duplicate:
return True, rxn0
+ elif rxn.duplicate and rxn0.duplicate:
+ # The new reaction is a duplicate proposed from the reverse direction.
+ # Template labels differ between forward and reverse, so template
+ # comparison is not applicable here. Since the forward reaction is
+ # already in the model, the reverse direction is already accounted for.
+ # This assumes all forward duplicates have been found, which they will be
+ # be during an RMG run, but might not be if you artificially construct your own
+ # core edge reaction model
+ return True, rxn0
# Now check seed mechanisms
# We want to check for duplicates in *other* seed mechanisms, but allow
@@ -501,7 +568,7 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True,
reactants = [self.make_new_species(reactant, generate_thermo=generate_thermo)[0] for reactant in forward.reactants]
products = [self.make_new_species(product, generate_thermo=generate_thermo)[0] for product in forward.products]
except:
- logging.error(f"Error when making species in reaction {forward:s} from {forward.family:s}")
+ logging.error(f"Error when making species in reaction {forward} from {forward.family}")
raise
if forward.specific_collider is not None:
@@ -552,12 +619,12 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True,
if isinstance(forward.kinetics, KineticsData):
forward.kinetics = forward.kinetics.to_arrhenius()
# correct barrier heights of estimated kinetics
- if isinstance(forward, (TemplateReaction,DepositoryReaction)): # i.e. not LibraryReaction
+ if isinstance(forward, (TemplateReaction, DepositoryReaction)): # i.e. not LibraryReaction
forward.fix_barrier_height(solvent=self.solvent_name) # also converts ArrheniusEP to Arrhenius.
elif isinstance(forward, LibraryReaction) and forward.is_surface_reaction():
# do fix the library reaction barrier if this is scaled from another metal
if any(['Binding energy corrected by LSR' in x.thermo.comment for x in forward.reactants + forward.products]):
- forward.fix_barrier_height(solvent=self.solvent_name)
+ forward.fix_barrier_height(solvent=self.solvent_name)
elif forward.kinetics.solute:
forward.apply_solvent_correction(solvent=self.solvent_name)
if self.pressure_dependence and forward.is_unimolecular():
@@ -565,6 +632,30 @@ def make_new_reaction(self, forward, check_existing=True, generate_thermo=True,
# we need to make sure the barrier is positive.
forward.fix_barrier_height(force_positive=True,solvent="")
+ # When a product has thermo_coverage_dependence, the reverse rate
+ # constant derived from Keq becomes coverage dependent, which
+ # can make the reverse unrealistically fast. We tend to get better rate estimates
+ # when the coverage dependence is on the reactant side, so flip it.
+ # (unless a reactant is *also* coverage dependent, or it's a sticking coefficient)
+ products_coverage_dependent = any(
+ getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.products)
+ if products_coverage_dependent:
+ reactants_coverage_dependent = any(
+ getattr(spc.thermo, 'thermo_coverage_dependence', None) for spc in forward.reactants)
+ if (not reactants_coverage_dependent
+ and not isinstance(forward.kinetics, StickingCoefficient)):
+ reverse_kinetics = forward.generate_reverse_rate_coefficient()
+ forward.reactants, forward.products = forward.products, forward.reactants
+ if forward.pairs is not None:
+ forward.pairs = [(p, r) for r, p in forward.pairs]
+ forward.kinetics = reverse_kinetics
+ coverage_dep_species = [spc.label for spc in forward.reactants
+ if spc.thermo and getattr(spc.thermo, 'thermo_coverage_dependence', None)]
+ forward.kinetics.comment += (f"\nReaction direction reversed due to "
+ f"coverage-dependent thermo on species {' and '.join(coverage_dep_species)}.")
+ logging.info("Flipped reaction to reverse direction due to thermo_coverage_dependence on product: %s",
+ forward)
+
# Since the reaction is new, add it to the list of new reactions
self.new_reaction_list.append(forward)
@@ -1673,14 +1764,15 @@ def add_seed_mechanism_to_core(self, seed_mechanism, react=False, requires_rms=F
"found in a seed mechanism or reaction "
"library.".format(spec.label, seed_mechanism.label)
)
- if fails_species_constraints(spec):
+ reason = fails_species_constraints(spec)
+ if reason:
if "allowed" in rmg.species_constraints and "seed mechanisms" in rmg.species_constraints["allowed"]:
rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule)
else:
raise ForbiddenStructureException(
"Species constraints forbids species {0} from seed mechanism {1}."
" Please reformulate constraints, remove the species, or"
- " explicitly allow it.".format(spec.label, seed_mechanism.label)
+ " explicitly allow it. Reason: {2}".format(spec.label, seed_mechanism.label, reason)
)
for spec in edge_species_to_move+self.new_species_list:
@@ -1800,14 +1892,15 @@ def add_reaction_library_to_edge(self, reaction_library, requires_rms=False):
"inert unless found in a seed mechanism or reaction "
"library.".format(spec.label, reaction_library.label)
)
- if fails_species_constraints(spec):
+ reason = fails_species_constraints(spec)
+ if reason:
if "allowed" in rmg.species_constraints and "reaction libraries" in rmg.species_constraints["allowed"]:
rmg.species_constraints["explicitlyAllowedMolecules"].extend(spec.molecule)
else:
raise ForbiddenStructureException(
"Species constraints forbids species {0} from reaction library "
"{1}. Please reformulate constraints, remove the species, or "
- "explicitly allow it.".format(spec.label, reaction_library.label)
+ "explicitly allow it. Reason: {2}".format(spec.label, reaction_library.label, reason)
)
for spec in self.new_species_list:
@@ -1893,6 +1986,20 @@ def add_reaction_to_unimolecular_networks(self, newReaction, new_species, networ
source = tuple(reactants)
+ if len(reactants) == 1:
+ elements = reactants[0].molecule[0].get_element_count()
+ elif len(products) == 1:
+ elements = products[0].molecule[0].get_element_count()
+ else:
+ raise ValueError("Unimolecular reaction networks can only be formed for unimolecular reactions or isomerizations.")
+ # make a hashable key from the elements dict
+ elements_key = tuple(sorted(elements.items()))
+ if elements_key in self.completed_pdep_networks:
+ formula = ''.join(f'{el}{count}' if count>1 else el for el, count in elements_key)
+ logging.info(f"Not adding reaction {newReaction} to unimolecular networks because the network for {formula} is marked as completed.")
+ return
+
+
# Only search for a network if we don't specify it as a parameter
if network is None:
if len(reactants) == 1:
diff --git a/rmgpy/rmg/output.py b/rmgpy/rmg/output.py
index 93cc8782bb3..2bc92b8b9b8 100644
--- a/rmgpy/rmg/output.py
+++ b/rmgpy/rmg/output.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -1317,14 +1317,16 @@ def csssafe(input):
f.close()
-def save_output(rmg):
+def save_output(rmg, save_edge=None):
"""
Save the current reaction model to a pretty HTML file.
"""
+ if save_edge is None:
+ save_edge = rmg.save_edge_species
logging.info('Saving current model core to HTML file...')
save_output_html(os.path.join(rmg.output_directory, 'output.html'), rmg.reaction_model, 'core')
- if rmg.save_edge_species:
+ if save_edge:
logging.info('Saving current model edge to HTML file...')
save_output_html(os.path.join(rmg.output_directory, 'output_edge.html'), rmg.reaction_model, 'edge')
@@ -1351,9 +1353,14 @@ class OutputHTMLWriter(object):
"""
- def __init__(self, output_directory=''):
+ def __init__(self, output_directory='', config=None):
super(OutputHTMLWriter, self).__init__()
+ self.config = config
make_output_subdirectory(output_directory, 'species')
def update(self, rmg):
- save_output(rmg)
+ if self.config is not None and not self.config.should_write(
+ rmg.reaction_model.iteration_num, rmg.is_final_save):
+ return
+ save_edge = self.config.save_edge if (self.config and self.config.save_edge is not None) else rmg.save_edge_species
+ save_output(rmg, save_edge=save_edge)
diff --git a/rmgpy/rmg/pdep.py b/rmgpy/rmg/pdep.py
index 834f0f72432..701bf863656 100644
--- a/rmgpy/rmg/pdep.py
+++ b/rmgpy/rmg/pdep.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -44,7 +44,7 @@
import rmgpy.reaction
from rmgpy.constants import R
from rmgpy.data.kinetics.library import LibraryReaction
-from rmgpy.exceptions import PressureDependenceError, NetworkError
+from rmgpy.exceptions import PressureDependenceError, NetworkError, InvalidMicrocanonicalRateError
from rmgpy.pdep import Configuration
from rmgpy.rmg.react import react_species
from rmgpy.statmech import Conformer
@@ -96,6 +96,7 @@ def __reduce__(self):
self.specific_collider,
self.network,
self.kinetics,
+ self.network_kinetics,
self.reversible,
self.transition_state,
self.duplicate,
@@ -431,9 +432,14 @@ def solve_ss_network(self, T, P):
ind = isomer_spcs.index(self.source[0])
b[ind] = -1.0 # flux at source
else:
- b = -b / b.sum() # 1.0 flux from source
+ total_source_flux = b.sum()
+ if total_source_flux == 0:
+ return None
+ b = -b / total_source_flux # 1.0 flux from source
if len(b) == 1:
+ if A[0, 0] == 0:
+ return None
return np.array([b[0] / A[0, 0]])
con = np.linalg.cond(A)
@@ -788,25 +794,21 @@ def update(self, reaction_model, pdep_settings, requires_rms=False):
# Log the network being updated
logging.info("Updating {0!s}".format(self))
- E0 = []
# Generate states data for unimolecular isomers and reactants if necessary
for isomer in self.isomers:
spec = isomer.species[0]
if not spec.has_statmech():
spec.generate_statmech()
- E0.append(spec.conformer.E0.value_si)
for reactants in self.reactants:
for spec in reactants.species:
if not spec.has_statmech():
spec.generate_statmech()
- E0.append(spec.conformer.E0.value_si)
# Also generate states data for any path reaction reactants, so we can
# always apply the ILT method in the direction the kinetics are known
for reaction in self.path_reactions:
for spec in reaction.reactants:
if not spec.has_statmech():
spec.generate_statmech()
- E0.append(spec.conformer.E0.value_si)
# While we don't need the frequencies for product channels, we do need
# the E0, so create a conformer object with the E0 for the product
# channel species if necessary
@@ -814,12 +816,12 @@ def update(self, reaction_model, pdep_settings, requires_rms=False):
for spec in products.species:
if spec.conformer is None:
spec.conformer = Conformer(E0=spec.get_thermo_data().E0)
- E0.append(spec.conformer.E0.value_si)
- # Use the average E0 as the reference energy (`energy_correction`) for the network
+ # Use the lowest E0 as the reference energy (`energy_correction`) for the network
# The `energy_correction` will be added to the free energies and enthalpies for each
# configuration in the network.
- energy_correction = -np.array(E0).mean()
+ energy_correction = -min(sum(spec.conformer.E0.value_si for spec in stationary_point.species)
+ for stationary_point in self.reactants + self.isomers + self.products)
for spec in self.reactants + self.products + self.isomers:
spec.energy_correction = energy_correction
self.energy_correction = energy_correction
@@ -872,11 +874,20 @@ def update(self, reaction_model, pdep_settings, requires_rms=False):
if output_directory:
job.save_input_file(
os.path.join(output_directory, 'pdep', 'network{0:d}_{1:d}.py'.format(self.index, len(self.isomers))))
+ if getattr(pdep_settings, 'generate_PES_diagrams', False):
+ job.draw(os.path.join(output_directory, 'pdep'), filename_stem=f'network{self.index:d}_{len(self.isomers):d}', file_format='pdf')
# Calculate the rate coefficients
self.initialize(Tmin, Tmax, Pmin, Pmax, maximum_grain_size, minimum_grain_count, active_j_rotor, active_k_rotor,
rmgmode)
- K = self.calculate_rate_coefficients(Tlist, Plist, method)
+ try:
+ K = self.calculate_rate_coefficients(Tlist, Plist, method)
+ except InvalidMicrocanonicalRateError:
+ if output_directory:
+ filename_stem = f'network{self.index:d}_{len(self.isomers):d}'
+ job.draw(output_directory, filename_stem=filename_stem, file_format='pdf')
+ logging.info(f"Network {self.index} has been drawn and saved as {filename_stem}.pdf in {output_directory} to aid debugging.")
+ raise
# Generate PDepReaction objects
configurations = []
diff --git a/rmgpy/rmg/react.py b/rmgpy/rmg/react.py
index c533d1bb995..4780d9c02b8 100644
--- a/rmgpy/rmg/react.py
+++ b/rmgpy/rmg/react.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmg/reactionmechanismsimulator_reactors.py b/rmgpy/rmg/reactionmechanismsimulator_reactors.py
index 4831586f3c3..b01dfc448ef 100644
--- a/rmgpy/rmg/reactionmechanismsimulator_reactors.py
+++ b/rmgpy/rmg/reactionmechanismsimulator_reactors.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmg/settings.py b/rmgpy/rmg/settings.py
index b4a7bd52e0b..9f73d8b20a4 100644
--- a/rmgpy/rmg/settings.py
+++ b/rmgpy/rmg/settings.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -139,3 +139,41 @@ def __init__(self, atol=1e-16, rtol=1e-8, sens_atol=1e-6, sens_rtol=1e-4):
self.rtol = rtol
self.sens_atol = sens_atol
self.sens_rtol = sens_rtol
+
+
+class WriterConfig:
+ """
+ Configuration for a single output-format writer.
+
+ Attributes
+ ----------
+ save_interval : int
+ How often to write output. Positive N = every N iterations (0-indexed
+ iteration numbers, so iteration 0 is always included). -1 = end of run
+ only. 0 = disabled entirely.
+ save_edge : bool or None
+ Per-writer override for saving edge species. None means fall back to
+ the global ``rmg.save_edge_species``.
+ """
+
+ def __init__(self, save_interval=1, save_edge=None):
+ self.save_interval = save_interval
+ self.save_edge = save_edge
+ self._last_write = -1
+
+ @property
+ def enabled(self):
+ return self.save_interval != 0
+
+ def should_write(self, iteration_num, is_final):
+ """Return True if the writer should produce output right now."""
+ if not self.enabled:
+ return False
+ if self.save_interval == -1:
+ return is_final
+ if is_final:
+ return self._last_write != iteration_num
+ result = (iteration_num % self.save_interval == 0)
+ if result:
+ self._last_write = iteration_num
+ return result
diff --git a/rmgpy/rmgobject.pxd b/rmgpy/rmgobject.pxd
index 73dbc06fc7a..a22b40af9cf 100644
--- a/rmgpy/rmgobject.pxd
+++ b/rmgpy/rmgobject.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/rmgobject.pyx b/rmgpy/rmgobject.pyx
index 726cc90b273..c77f3a9099c 100644
--- a/rmgpy/rmgobject.pyx
+++ b/rmgpy/rmgobject.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/solver/__init__.py b/rmgpy/solver/__init__.py
index 87750031591..cae5c26d310 100644
--- a/rmgpy/solver/__init__.py
+++ b/rmgpy/solver/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/solver/base.pxd b/rmgpy/solver/base.pxd
index 539ffd5884a..ce1ee3b833d 100644
--- a/rmgpy/solver/base.pxd
+++ b/rmgpy/solver/base.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/solver/base.pyx b/rmgpy/solver/base.pyx
index 1aeebc63150..ad088aed9af 100644
--- a/rmgpy/solver/base.pyx
+++ b/rmgpy/solver/base.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -714,7 +714,8 @@ cdef class ReactionSystem(DASx):
if sensitivity:
time_array = []
norm_sens_array = [[] for spec in self.sensitive_species]
- RTP = constants.R * self.T.value_si / self.P.value_si
+ if not self.constant_volume:
+ RTP = constants.R * self.T.value_si / self.P.value_si
# identify sensitive species indices
sens_species_indices = np.array([species_index[spec] for spec in self.sensitive_species],
int) # index within core_species list of the sensitive species
diff --git a/rmgpy/solver/files/collider_model/chem.inp b/rmgpy/solver/files/collider_model/chem.inp
index 9ec405ec2b4..baa5e30d4a6 100644
--- a/rmgpy/solver/files/collider_model/chem.inp
+++ b/rmgpy/solver/files/collider_model/chem.inp
@@ -20,7 +20,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar1 G200.000 6000.000 1000.00 1
2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
diff --git a/rmgpy/solver/files/listener/chemkin/chem.inp b/rmgpy/solver/files/listener/chemkin/chem.inp
index 93290297d99..d54bf1f8478 100644
--- a/rmgpy/solver/files/listener/chemkin/chem.inp
+++ b/rmgpy/solver/files/listener/chemkin/chem.inp
@@ -15,7 +15,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar1 G200.000 6000.000 1000.00 1
2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
diff --git a/rmgpy/solver/liquid.pyx b/rmgpy/solver/liquid.pyx
index 9ebc9889b6b..aefd38e030d 100644
--- a/rmgpy/solver/liquid.pyx
+++ b/rmgpy/solver/liquid.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/solver/mbSampled.pyx b/rmgpy/solver/mbSampled.pyx
index b701356c7ef..18d76381400 100644
--- a/rmgpy/solver/mbSampled.pyx
+++ b/rmgpy/solver/mbSampled.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/solver/simple.pyx b/rmgpy/solver/simple.pyx
index fae99e2e7f4..f446443f0c9 100644
--- a/rmgpy/solver/simple.pyx
+++ b/rmgpy/solver/simple.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -169,16 +169,21 @@ cdef class SimpleReactor(ReactionSystem):
conditions[species_dict[label]] = value
self.sens_conditions = conditions
- def get_const_spc_indices (self, core_species):
+ def get_const_spc_indices(self, core_species):
"""
Allow to identify constant Species position in solver
"""
- for spc in self.const_spc_names:
- if self.const_spc_indices is None: # initialize once the list if constant SPC declared
- self.const_spc_indices = []
- for spc in core_species: #Need to identify the species object corresponding to the the string written in the input file
- if spc.label == spc:
- self.const_spc_indices.append(core_species.index(spc))
+ if self.const_spc_names is None:
+ return
+ if self.const_spc_indices is None:
+ self.const_spc_indices = []
+ else:
+ return
+ for name in self.const_spc_names:
+ for spc in core_species:
+ if spc.label == name:
+ self.const_spc_indices.append(core_species.index(spc))
+ break
cpdef initialize_model(self, list core_species, list core_reactions, list edge_species, list edge_reactions,
list surface_species=None, list surface_reactions=None, list pdep_networks=None,
diff --git a/rmgpy/solver/surface.pyx b/rmgpy/solver/surface.pyx
index 105a1d68f7a..8fa1fb7ec7c 100644
--- a/rmgpy/solver/surface.pyx
+++ b/rmgpy/solver/surface.pyx
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -26,8 +26,8 @@
###############################################################################
"""
-Contains the :class:`SimpleReactor` class, providing a reaction system
-consisting of a homogeneous, isothermal, isobaric batch reactor.
+Contains the :class:`SurfaceReactor` class, providing a reaction system
+consisting of a heterogeneous, isothermal, constant volume batch reactor.
"""
import itertools
@@ -36,13 +36,14 @@ import logging
cimport cython
import numpy as np
cimport numpy as np
-from libc.math cimport exp
+from libc.math cimport exp, pow
import rmgpy.constants as constants
cimport rmgpy.constants as constants
from rmgpy.quantity import Quantity
from rmgpy.quantity cimport ScalarQuantity
from rmgpy.solver.base cimport ReactionSystem
+from rmgpy.molecule import Molecule
cdef class SurfaceReactor(ReactionSystem):
"""
@@ -66,9 +67,15 @@ cdef class SurfaceReactor(ReactionSystem):
cdef public ScalarQuantity surface_site_density
cdef public np.ndarray reactions_on_surface # (catalyst surface, not core/edge surface)
cdef public np.ndarray species_on_surface # (catalyst surface, not core/edge surface)
+ cdef public np.ndarray thermo_coeff_matrix
+ cdef public np.ndarray stoi_matrix
+ cdef public np.ndarray _jacobian_inv_omega
+ cdef public bint _jacobian_inv_omega_num_core_species
cdef public bint coverage_dependence
cdef public dict coverage_dependencies
+ cdef public bint thermo_coverage_dependence
+
def __init__(self,
@@ -84,6 +91,7 @@ cdef class SurfaceReactor(ReactionSystem):
sensitivity_threshold=1e-3,
sens_conditions=None,
coverage_dependence=False,
+ thermo_coverage_dependence=False,
):
ReactionSystem.__init__(self,
termination,
@@ -103,10 +111,13 @@ cdef class SurfaceReactor(ReactionSystem):
self.surface_volume_ratio = Quantity(surface_volume_ratio)
self.surface_site_density = Quantity(surface_site_density)
self.coverage_dependence = coverage_dependence
+ self.thermo_coverage_dependence = thermo_coverage_dependence
self.V = 0 # will be set from ideal gas law in initialize_model
self.constant_volume = True
self.sens_conditions = sens_conditions
self.n_sims = n_sims
+ self._jacobian_inv_omega = None # array of 1/V (gas-phase) or 1/A (surface-phase) for corresponding gas or surface species
+ self._jacobian_inv_omega_num_core_species = 0
self.coverage_dependencies = {}
@@ -166,6 +177,10 @@ cdef class SurfaceReactor(ReactionSystem):
)
cdef np.ndarray[np.int_t, ndim=1] species_on_surface, reactions_on_surface
cdef Py_ssize_t index
+ cdef np.ndarray thermo_coeff_matrix = np.zeros((len(self.species_index), len(self.species_index), 6), dtype=np.float64)
+ cdef np.ndarray stoi_matrix = np.zeros((self.reactant_indices.shape[0], len(self.species_index)), dtype=np.float64)
+ if self.thermo_coverage_dependence:
+ self.thermo_coeff_matrix = thermo_coeff_matrix
#: 1 if it's on a surface, 0 if it's in the gas phase
reactions_on_surface = np.zeros((self.num_core_reactions + self.num_edge_reactions), int)
species_on_surface = np.zeros((self.num_core_species), int)
@@ -195,6 +210,49 @@ cdef class SurfaceReactor(ReactionSystem):
means that Species with index 2 in the current simulation is used in
Reaction 3 with parameters a=0.1, m=-1, E=12 kJ/mol
"""
+ for sp, sp_index in self.species_index.items():
+ if sp.contains_surface_site():
+ if self.thermo_coverage_dependence and sp.thermo.thermo_coverage_dependence:
+ for spec, parameters in sp.thermo.thermo_coverage_dependence.items():
+ molecule = Molecule().from_adjacency_list(spec)
+ for species in self.species_index.keys():
+ if species.is_isomorphic(molecule, strict=False):
+ species_index = self.species_index[species]
+ enthalpy_coeff = np.array([p.value_si for p in parameters['enthalpy-coefficients']])
+ entropy_coeff = np.array([p.value_si for p in parameters['entropy-coefficients']])
+ thermo_polynomials = np.concatenate((enthalpy_coeff, entropy_coeff), axis=0)
+ self.thermo_coeff_matrix[sp_index, species_index] = [x for x in thermo_polynomials]
+ # create a stoichiometry matrix for reaction enthalpy and entropy correction
+ # due to thermodynamic coverage dependence
+ if self.thermo_coverage_dependence:
+ ir = self.reactant_indices
+ ip = self.product_indices
+ for rxn_id, rxn_stoi_num in enumerate(stoi_matrix):
+ if ir[rxn_id, 0] >= self.num_core_species or ir[rxn_id, 1] >= self.num_core_species or ir[rxn_id, 2] >= self.num_core_species:
+ continue
+ elif ip[rxn_id, 0] >= self.num_core_species or ip[rxn_id, 1] >= self.num_core_species or ip[rxn_id, 2] >= self.num_core_species:
+ continue
+ else:
+ if ir[rxn_id, 1] == -1: # only one reactant
+ rxn_stoi_num[ir[rxn_id, 0]] += -1
+ elif ir[rxn_id, 2] == -1: # only two reactants
+ rxn_stoi_num[ir[rxn_id, 0]] += -1
+ rxn_stoi_num[ir[rxn_id, 1]] += -1
+ else: # three reactants
+ rxn_stoi_num[ir[rxn_id, 0]] += -1
+ rxn_stoi_num[ir[rxn_id, 1]] += -1
+ rxn_stoi_num[ir[rxn_id, 2]] += -1
+ if ip[rxn_id, 1] == -1: # only one product
+ rxn_stoi_num[ip[rxn_id, 0]] += 1
+ elif ip[rxn_id, 2] == -1: # only two products
+ rxn_stoi_num[ip[rxn_id, 0]] += 1
+ rxn_stoi_num[ip[rxn_id, 1]] += 1
+ else: # three products
+ rxn_stoi_num[ip[rxn_id, 0]] += 1
+ rxn_stoi_num[ip[rxn_id, 1]] += 1
+ rxn_stoi_num[ip[rxn_id, 2]] += 1
+ self.stoi_matrix = stoi_matrix
+
self.species_on_surface = species_on_surface
self.reactions_on_surface = reactions_on_surface
@@ -249,7 +307,10 @@ cdef class SurfaceReactor(ReactionSystem):
warned = True
self.kf[j] = rxn.get_rate_coefficient(self.T.value_si, P)
if rxn.reversible:
- # ToDo: get_equilibrium_constant should be coverage dependent
+ # kb is set here from the uncorrected Keq. For reactions with
+ # thermo_coverage_dependence, kb is not used directly — residual
+ # and jacobian both compute kr = kf / compute_thermo_coverage_corrections()
+ # which applies the coverage-dependent correction to Keq at runtime.
self.Keq[j] = rxn.get_equilibrium_constant(self.T.value_si)
self.kb[j] = self.kf[j] / self.Keq[j]
@@ -325,11 +386,15 @@ cdef class SurfaceReactor(ReactionSystem):
i = self.get_species_index(spec)
self.y0[i] = total_surface_sites * coverage # moles in reactor
+ # array of stored 1/V (gas-phase) or 1/A (surface-phase) for corresponding gas or surface species to help compute Jacobian
+ self._jacobian_inv_omega = np.full(self.num_core_species, 1.0 / V, dtype=np.float64)
for j, isSurfaceSpecies in enumerate(self.species_on_surface): # should only go up to core species
if isSurfaceSpecies:
self.core_species_concentrations[j] = self.y0[j] / V / surface_volume_ratio_si # moles per m2 of surface
+ self._jacobian_inv_omega[j] = 1.0 / (V * surface_volume_ratio_si)
else:
self.core_species_concentrations[j] = self.y0[j] / V # moles per m3 of gas
+ self._jacobian_inv_omega_num_core_species = self.num_core_species
def compute_network_variables(self, pdep_networks=None):
# ToDo: this should allow pressure to vary?
@@ -354,6 +419,44 @@ cdef class SurfaceReactor(ReactionSystem):
bimolecular_threshold_rate_constant,
trimolecular_threshold_rate_constant)
+ @cython.boundscheck(False)
+ @cython.wraparound(False)
+ cpdef np.ndarray compute_thermo_coverage_corrections(self, np.ndarray[np.float64_t, ndim=1] coverages):
+ """
+ Return the equilibrium constants ``Keq`` corrected for thermodynamic
+ coverage dependence at the given surface ``coverages``.
+
+ For each species the free-energy correction is the sum over the (up to)
+ six polynomial terms ``coverage**k`` and ``-T*coverage**k`` weighted by the
+ per-species coefficients stored in ``thermo_coeff_matrix``. These are
+ mapped to per-reaction free-energy changes via ``stoi_matrix`` and applied
+ to ``Keq``. The corrected ``Keq`` is used to obtain a coverage-dependent
+ reverse rate constant ``kr = kf / Keq_corrected`` in both the residual and
+ the Jacobian.
+ """
+ cdef np.ndarray[np.float64_t, ndim=1] coverages_squared, temperature_scaled_coverages
+ cdef np.ndarray[np.float64_t, ndim=1] free_energy_coverage_corrections, rxns_free_energy_change, corrected_K_eq
+ cdef np.ndarray[np.float64_t, ndim=2] thermo_dep_coverage, matrix
+ cdef int i, n
+
+ n = coverages.shape[0]
+ coverages_squared = coverages * coverages
+ temperature_scaled_coverages = -self.T.value_si * coverages
+ thermo_dep_coverage = np.empty((6, n), dtype=np.float64)
+ thermo_dep_coverage[0, :] = coverages
+ thermo_dep_coverage[1, :] = coverages_squared
+ thermo_dep_coverage[2, :] = coverages_squared * coverages
+ thermo_dep_coverage[3, :] = temperature_scaled_coverages
+ thermo_dep_coverage[4, :] = temperature_scaled_coverages * coverages
+ thermo_dep_coverage[5, :] = temperature_scaled_coverages * coverages_squared
+ free_energy_coverage_corrections = np.empty(self.thermo_coeff_matrix.shape[0], dtype=np.float64)
+ for i in range(self.thermo_coeff_matrix.shape[0]):
+ matrix = self.thermo_coeff_matrix[i]
+ free_energy_coverage_corrections[i] = np.sum(matrix[:n, :].T * thermo_dep_coverage)
+ rxns_free_energy_change = np.matmul(self.stoi_matrix, free_energy_coverage_corrections)
+ corrected_K_eq = self.Keq * np.exp(-1 * rxns_free_energy_change / (constants.R * self.T.value_si))
+ return corrected_K_eq
+
@cython.boundscheck(False)
def residual(self,
double t,
@@ -378,9 +481,10 @@ cdef class SurfaceReactor(ReactionSystem):
cdef np.ndarray[np.float64_t, ndim=2] jacobian, dgdk
cdef list list_of_coverage_deps
cdef double surface_site_fraction, total_sites, a, m, E
-
-
-
+ cdef np.ndarray[np.float64_t, ndim=1] coverages, coverages_squared, temperature_scaled_coverages
+ cdef np.ndarray[np.float64_t, ndim=2] thermo_dep_coverage
+ cdef np.ndarray[np.float64_t, ndim=1] free_energy_coverage_corrections, rxns_free_energy_change, corrected_K_eq
+ cdef double sp_free_energy_correction
ir = self.reactant_indices
ip = self.product_indices
equilibrium_constants = self.Keq
@@ -411,10 +515,9 @@ cdef class SurfaceReactor(ReactionSystem):
surface_volume_ratio_si = self.surface_volume_ratio.value_si
C = np.zeros_like(self.core_species_concentrations)
- V = self.V # constant volume reactor
- A = self.V * surface_volume_ratio_si # area
- total_sites = self.surface_site_density.value_si * A # todo: double check units
-
+ V = self.V # constant volume reactor in m^3
+ A = self.V * surface_volume_ratio_si # area in m^2
+ total_sites = self.surface_site_density.value_si * A # moles of sites
for j in range(num_core_species):
if species_on_surface[j]:
C[j] = (N[j] / V) / surface_volume_ratio_si
@@ -422,6 +525,13 @@ cdef class SurfaceReactor(ReactionSystem):
C[j] = N[j] / V
#: surface species are in mol/m2, gas phase are in mol/m3
core_species_concentrations[j] = C[j]
+
+ if self.thermo_coverage_dependence or self.coverage_dependence:
+ coverages = np.where(species_on_surface, np.maximum(N / total_sites, 0.0), 0.0)
+
+ # Thermodynamic coverage dependence
+ if self.thermo_coverage_dependence:
+ kr = kf / self.compute_thermo_coverage_corrections(coverages)
# Coverage dependence
coverage_corrections = np.ones_like(kf, float)
@@ -433,12 +543,12 @@ cdef class SurfaceReactor(ReactionSystem):
"""
for i, list_of_coverage_deps in self.coverage_dependencies.items():
# Species i, Reaction j
- surface_site_fraction = N[i] / total_sites
- if surface_site_fraction < 1e-15:
+ surface_site_fraction = coverages[i]
+ if surface_site_fraction <= 1e-6:
continue
for j, a, m, E in list_of_coverage_deps:
coverage_corrections[j] *= 10. ** (a * surface_site_fraction) *\
- surface_site_fraction ** m *\
+ pow(surface_site_fraction, m) *\
exp(-1 * E * surface_site_fraction / (constants.R * self.T.value_si))
kf = kf * coverage_corrections # make a corrected copy kf, but leave the original array at self.kf unchanged
kr = kr * coverage_corrections
@@ -537,7 +647,7 @@ cdef class SurfaceReactor(ReactionSystem):
res = core_species_rates * V
# mol/s
- if self.sensitivity and False:
+ if self.sensitivity:
delta = np.zeros(len(N), float)
delta[:num_core_species] = res
if self.jacobian_matrix is None:
@@ -556,3 +666,445 @@ cdef class SurfaceReactor(ReactionSystem):
# Return DELTA, IRES. IRES is set to 1 in order to tell DASPK to evaluate the sensitivity residuals
return delta, 1
+
+ @cython.boundscheck(False)
+ def jacobian(self, double t, np.ndarray[np.float64_t, ndim=1] y, np.ndarray[np.float64_t, ndim=1] dydt,
+ double cj, np.ndarray[np.float64_t, ndim=1] senpar = np.zeros(1, float)):
+ """
+ Return the analytical Jacobian for the reaction system.
+
+ Constant volume (isochoric), variable pressure, with mixed gas-phase
+ and surface species.
+
+ kf[j] and kr[j] are given in volume units (mol / m^3 / s), even for
+ surface reactions. generate_rate_coefficients premultiplies the raw
+ surface rate coefficient by surface_volume_ratio (= A/V, units 1/m) so
+ that the residual can uniformly compute:
+
+ reaction_rate [mol/m^3/s] = k * prod_r C[r]
+ dn_i/dt [mol/s] = nu_ij * reaction_rate * V
+
+ for every reaction regardless of phase.
+
+ Concentrations
+ --------------
+ Gas-phase species: C[i] = y[i] / V (mol / m^3)
+ Surface species: C[i] = y[i] / V / svr = y[i] / A (mol / m^2)
+
+ where svr = surface_volume_ratio (1/m)
+
+ Derivative rule
+ ---------------
+ deriv w.r.t. n[s] = k * (prod_{r != s} C[r]) * V / Omega[s]
+
+ For gas-phase species: V / Omega[s] = V / V = 1
+ For surface species: V / Omega[s] = V / A = 1 / svr
+
+ No corr terms (like in SimpleReactor) because V and A are both constant.
+ """
+ cdef np.ndarray[np.int_t, ndim=2] ir, ip
+ cdef np.ndarray[np.float64_t, ndim=1] kf, kr, C
+ cdef np.ndarray[np.float64_t, ndim=2] pd
+ cdef np.ndarray[np.float64_t, ndim=1] Omega # per-species normalization
+ cdef int num_core_reactions, num_core_species, i, j
+ cdef double k, V, A, deriv
+
+ ir = self.reactant_indices
+ ip = self.product_indices
+
+ kf = self.kf # already in volume units for all reactions
+ kr = self.kb # already in volume units for all reactions
+ num_core_reactions = len(self.core_reaction_rates)
+ num_core_species = len(self.core_species_concentrations)
+
+ pd = np.zeros((num_core_species, num_core_species), dtype=np.float64)
+ np.fill_diagonal(pd, -cj)
+
+ V = self.V
+ A = V * self.surface_volume_ratio.value_si # surface area in m^2
+
+ # Cache inverse per-species normalization on the instance since
+ # species_on_surface is static for SurfaceReactor and V/A are constant
+ inv_omega = self._jacobian_inv_omega
+ cached_num_core_species = self._jacobian_inv_omega_num_core_species
+
+ if cached_num_core_species != num_core_species:
+ inv_omega = np.full(num_core_species, 1.0 / V, dtype=np.float64)
+ for i in range(num_core_species):
+ if self.species_on_surface[i]:
+ inv_omega[i] = 1.0 / A
+ self._jacobian_inv_omega = inv_omega
+ self._jacobian_inv_omega_num_core_species = num_core_species
+
+ # Concentrations — surface species in mol/m^2, gas in mol/m^3
+ C = np.zeros_like(self.core_species_concentrations)
+ for j in range(num_core_species):
+ C[j] = y[j] * inv_omega[j]
+
+ if self.thermo_coverage_dependence or self.coverage_dependence:
+ total_sites = self.surface_site_density.value_si * A
+ coverages = np.where(self.species_on_surface[:num_core_species],
+ np.maximum(y[:num_core_species] / total_sites, 0.0),
+ 0.0)
+
+ # Thermodynamic coverage dependence: the reverse rate constant is derived
+ # from the coverage-corrected equilibrium constant.
+ if self.thermo_coverage_dependence:
+ kr = kf / self.compute_thermo_coverage_corrections(coverages)
+ else:
+ kr = self.kb
+
+ # Kinetic coverage dependence: kf (and hence kr) are scaled by a
+ # coverage-dependent factor.
+ if self.coverage_dependence:
+ coverage_corrections = np.ones_like(kf, float)
+ for i, list_of_coverage_deps in self.coverage_dependencies.items():
+ surface_site_fraction = coverages[i]
+ if surface_site_fraction <= 1e-6:
+ continue
+ for j, a, m, E in list_of_coverage_deps:
+ coverage_corrections[j] *= 10. ** (a * surface_site_fraction) *\
+ pow(surface_site_fraction, m) *\
+ exp(-1 * E * surface_site_fraction / (constants.R * self.T.value_si))
+ kf = kf * coverage_corrections # corrected copy; leaves self.kf unchanged
+ kr = kr * coverage_corrections
+
+ for j in range(num_core_reactions):
+
+ # ------------------------------------------------------------------
+ # Forward reaction
+ # ------------------------------------------------------------------
+ k = kf[j]
+
+ if ir[j, 1] == -1: # unimolecular forward
+ # deriv = k * V * inv_omega[s]; gas: k*1 = k; surface: k*V/A = k/svr
+ deriv = k * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ elif ir[j, 2] == -1: # bimolecular forward
+ if ir[j, 0] == ir[j, 1]: # A + A -> products
+ deriv = 2 * k * C[ir[j, 0]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= 2 * deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ else: # A + B -> products
+ # derivative with respect to n[A]
+ deriv = k * C[ir[j, 1]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= deriv
+ pd[ir[j, 1], ir[j, 0]] -= deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ # derivative with respect to n[B]
+ deriv = k * C[ir[j, 0]] * V * inv_omega[ir[j, 1]]
+ pd[ir[j, 0], ir[j, 1]] -= deriv
+ pd[ir[j, 1], ir[j, 1]] -= deriv
+
+ pd[ip[j, 0], ir[j, 1]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 1]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 1]] += deriv
+
+ else: # trimolecular forward
+
+ if (ir[j, 0] == ir[j, 1]) and (ir[j, 0] == ir[j, 2]): # A+A+A
+ deriv = 3 * k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= 3 * deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ elif ir[j, 0] == ir[j, 1]: # A+A+B
+ # derivative with respect to n[A]
+ deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 2]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= 2 * deriv
+ pd[ir[j, 2], ir[j, 0]] -= deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ # derivative with respect to n[B]
+ deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 2]]
+ pd[ir[j, 0], ir[j, 2]] -= 2 * deriv
+ pd[ir[j, 2], ir[j, 2]] -= deriv
+
+ pd[ip[j, 0], ir[j, 2]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 2]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 2]] += deriv
+
+ elif ir[j, 1] == ir[j, 2]: # A+B+B
+ # derivative with respect to n[A]
+ deriv = k * C[ir[j, 1]] * C[ir[j, 1]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= deriv
+ pd[ir[j, 1], ir[j, 0]] -= 2 * deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ # derivative with respect to n[B]
+ deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 1]]
+ pd[ir[j, 0], ir[j, 1]] -= deriv
+ pd[ir[j, 1], ir[j, 1]] -= 2 * deriv
+
+ pd[ip[j, 0], ir[j, 1]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 1]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 1]] += deriv
+
+ elif ir[j, 0] == ir[j, 2]: # A+B+A
+ # derivative with respect to n[A]
+ deriv = 2 * k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= 2 * deriv
+ pd[ir[j, 1], ir[j, 0]] -= deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ # derivative with respect to n[B]
+ deriv = k * C[ir[j, 0]] * C[ir[j, 0]] * V * inv_omega[ir[j, 1]]
+ pd[ir[j, 0], ir[j, 1]] -= 2 * deriv
+ pd[ir[j, 1], ir[j, 1]] -= deriv
+
+ pd[ip[j, 0], ir[j, 1]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 1]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 1]] += deriv
+
+ else: # A+B+C, all distinct
+ # derivative with respect to n[A]
+ deriv = k * C[ir[j, 1]] * C[ir[j, 2]] * V * inv_omega[ir[j, 0]]
+ pd[ir[j, 0], ir[j, 0]] -= deriv
+ pd[ir[j, 1], ir[j, 0]] -= deriv
+ pd[ir[j, 2], ir[j, 0]] -= deriv
+
+ pd[ip[j, 0], ir[j, 0]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 0]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 0]] += deriv
+
+ # derivative with respect to n[B]
+ deriv = k * C[ir[j, 0]] * C[ir[j, 2]] * V * inv_omega[ir[j, 1]]
+ pd[ir[j, 0], ir[j, 1]] -= deriv
+ pd[ir[j, 1], ir[j, 1]] -= deriv
+ pd[ir[j, 2], ir[j, 1]] -= deriv
+
+ pd[ip[j, 0], ir[j, 1]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 1]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 1]] += deriv
+
+ # derivative with respect to n[C]
+ deriv = k * C[ir[j, 0]] * C[ir[j, 1]] * V * inv_omega[ir[j, 2]]
+ pd[ir[j, 0], ir[j, 2]] -= deriv
+ pd[ir[j, 1], ir[j, 2]] -= deriv
+ pd[ir[j, 2], ir[j, 2]] -= deriv
+
+ pd[ip[j, 0], ir[j, 2]] += deriv
+ if ip[j, 1] != -1:
+ pd[ip[j, 1], ir[j, 2]] += deriv
+ if ip[j, 2] != -1:
+ pd[ip[j, 2], ir[j, 2]] += deriv
+
+ # ------------------------------------------------------------------
+ # Reverse reaction (ip <-> ir relative to forward block above)
+ # ------------------------------------------------------------------
+ k = kr[j]
+
+ if ip[j, 1] == -1: # unimolecular reverse
+ deriv = k * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ elif ip[j, 2] == -1: # bimolecular reverse
+ if ip[j, 0] == ip[j, 1]: # P+P -> reactants
+ deriv = 2 * k * C[ip[j, 0]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= 2 * deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ else: # P1+P2 -> reactants
+ # derivative with respect to n[P1]
+ deriv = k * C[ip[j, 1]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= deriv
+ pd[ip[j, 1], ip[j, 0]] -= deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ # derivative with respect to n[P2]
+ deriv = k * C[ip[j, 0]] * V * inv_omega[ip[j, 1]]
+ pd[ip[j, 0], ip[j, 1]] -= deriv
+ pd[ip[j, 1], ip[j, 1]] -= deriv
+
+ pd[ir[j, 0], ip[j, 1]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 1]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 1]] += deriv
+
+ else: # trimolecular reverse
+
+ if (ip[j, 0] == ip[j, 1]) and (ip[j, 0] == ip[j, 2]): # P+P+P
+ deriv = 3 * k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= 3 * deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ elif ip[j, 0] == ip[j, 1]: # P1+P1+P2
+ # derivative with respect to n[P1]
+ deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 2]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= 2 * deriv
+ pd[ip[j, 2], ip[j, 0]] -= deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ # derivative with respect to n[P2]
+ deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 2]]
+ pd[ip[j, 0], ip[j, 2]] -= 2 * deriv
+ pd[ip[j, 2], ip[j, 2]] -= deriv
+
+ pd[ir[j, 0], ip[j, 2]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 2]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 2]] += deriv
+
+ elif ip[j, 1] == ip[j, 2]: # P1+P2+P2
+ # derivative with respect to n[P1]
+ deriv = k * C[ip[j, 1]] * C[ip[j, 1]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= deriv
+ pd[ip[j, 1], ip[j, 0]] -= 2 * deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ # derivative with respect to n[P2]
+ deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 1]]
+ pd[ip[j, 0], ip[j, 1]] -= deriv
+ pd[ip[j, 1], ip[j, 1]] -= 2 * deriv
+
+ pd[ir[j, 0], ip[j, 1]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 1]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 1]] += deriv
+
+ elif ip[j, 0] == ip[j, 2]: # P1+P2+P1
+ # derivative with respect to n[P1]
+ deriv = 2 * k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= 2 * deriv
+ pd[ip[j, 1], ip[j, 0]] -= deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ # derivative with respect to n[P2]
+ deriv = k * C[ip[j, 0]] * C[ip[j, 0]] * V * inv_omega[ip[j, 1]]
+ pd[ip[j, 0], ip[j, 1]] -= 2 * deriv
+ pd[ip[j, 1], ip[j, 1]] -= deriv
+
+ pd[ir[j, 0], ip[j, 1]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 1]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 1]] += deriv
+
+ else: # P1+P2+P3, all distinct
+ # derivative with respect to n[P1]
+ deriv = k * C[ip[j, 1]] * C[ip[j, 2]] * V * inv_omega[ip[j, 0]]
+ pd[ip[j, 0], ip[j, 0]] -= deriv
+ pd[ip[j, 1], ip[j, 0]] -= deriv
+ pd[ip[j, 2], ip[j, 0]] -= deriv
+
+ pd[ir[j, 0], ip[j, 0]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 0]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 0]] += deriv
+
+ # derivative with respect to n[P2]
+ deriv = k * C[ip[j, 0]] * C[ip[j, 2]] * V * inv_omega[ip[j, 1]]
+ pd[ip[j, 0], ip[j, 1]] -= deriv
+ pd[ip[j, 1], ip[j, 1]] -= deriv
+ pd[ip[j, 2], ip[j, 1]] -= deriv
+
+ pd[ir[j, 0], ip[j, 1]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 1]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 1]] += deriv
+
+ # derivative with respect to n[P3]
+ deriv = k * C[ip[j, 0]] * C[ip[j, 1]] * V * inv_omega[ip[j, 2]]
+ pd[ip[j, 0], ip[j, 2]] -= deriv
+ pd[ip[j, 1], ip[j, 2]] -= deriv
+ pd[ip[j, 2], ip[j, 2]] -= deriv
+
+ pd[ir[j, 0], ip[j, 2]] += deriv
+ if ir[j, 1] != -1:
+ pd[ir[j, 1], ip[j, 2]] += deriv
+ if ir[j, 2] != -1:
+ pd[ir[j, 2], ip[j, 2]] += deriv
+
+ self.jacobian_matrix = pd + cj * np.identity(num_core_species, float)
+ return pd
diff --git a/rmgpy/solver/termination.py b/rmgpy/solver/termination.py
index 3a61f7e02f7..06a9a4d7388 100644
--- a/rmgpy/solver/termination.py
+++ b/rmgpy/solver/termination.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/species.pxd b/rmgpy/species.pxd
index 0e30ce2b0e9..7540229c48b 100644
--- a/rmgpy/species.pxd
+++ b/rmgpy/species.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/species.py b/rmgpy/species.py
index c17bdd182a4..9378129881a 100644
--- a/rmgpy/species.py
+++ b/rmgpy/species.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -126,7 +126,7 @@ def __init__(self, index=-1, label='', thermo=None, conformer=None, molecule=Non
self._inchi = inchi
elif smiles:
# check it is fragment or molecule
- _ , cutting_label_list = Fragment().detect_cutting_label(smiles)
+ _ , cutting_label_list = Fragment.detect_cutting_label(smiles)
if cutting_label_list != []: # Fragment
self.molecule = [Fragment(smiles=smiles)]
else: # Molecule
@@ -382,7 +382,7 @@ def from_adjacency_list(self, adjlist, raise_atomtype_exception=True, raise_char
adjlist_no_label = adjlist
# detect if it contains cutting label
- _ , cutting_label_list = Fragment().detect_cutting_label(adjlist_no_label)
+ _ , cutting_label_list = Fragment.detect_cutting_label(adjlist_no_label)
if cutting_label_list == []:
self.molecule = [Molecule().from_adjacency_list(adjlist, saturate_h=False,
@@ -428,13 +428,18 @@ def to_chemkin(self):
from rmgpy.chemkin import get_species_identifier
return get_species_identifier(self)
- def to_cantera(self, use_chemkin_identifier=False):
+ def to_cantera(self, use_chemkin_identifier=False, all_species=None):
"""
Converts the RMG Species object to a Cantera Species object
with the appropriate thermo data.
If use_chemkin_identifier is set to False, the species label is used
instead. Be sure that species' labels are unique when setting it False.
+
+ If all_species is provided and this is a surface species with
+ coverage-dependent thermo, the coverage-dependencies are attached to
+ the Cantera Species object via update_user_data() so that they appear
+ in input_data and in Solution.write_yaml() output.
"""
import cantera as ct
@@ -443,13 +448,24 @@ def to_cantera(self, use_chemkin_identifier=False):
for vertex in self.molecule[0].vertices:
# The atom itself
if not isinstance(vertex, CuttingLabel):
- symbol = vertex.element.symbol
+ symbol = vertex.element.chemkin_name
else: # that means this vertex is CuttingLabel
continue
if symbol not in element_dict:
element_dict[symbol] = 1
else:
element_dict[symbol] += 1
+ charge = self.molecule[0].get_net_charge()
+ if 'E' in element_dict:
+ electrons = element_dict['E']
+ if charge == 0 and electrons != 0:
+ logging.warning(f"Species {self} has {electrons} electrons but charge 0. "
+ f"Reporting {electrons} electrons in the Cantera composition.")
+ elif electrons != -charge:
+ logging.warning(f"Species {self} has {electrons} electrons but charge {charge}. "
+ f"Reporting {-charge} electrons in the Cantera composition.")
+ if charge != 0:
+ element_dict['E'] = -charge
if use_chemkin_identifier:
label = self.to_chemkin()
else:
@@ -475,6 +491,32 @@ def to_cantera(self, use_chemkin_identifier=False):
if self.transport_data:
ct_species.transport = self.transport_data.to_cantera()
+ # Attach coverage-dependent thermo if present.
+ # thermo_coverage_dependence keys are adjacency-list strings; we resolve
+ # them to species names here using all_species. The data is stored via
+ # update_user_data() so it appears in ct_species.input_data and in any
+ # YAML serialised by Cantera (e.g. Solution.write_yaml()).
+ if (all_species is not None
+ and self.contains_surface_site()
+ and self.thermo
+ and hasattr(self.thermo, 'thermo_coverage_dependence')
+ and self.thermo.thermo_coverage_dependence):
+ from rmgpy.molecule.molecule import Molecule
+ cov_deps = {}
+ for adj_list, parameters in self.thermo.thermo_coverage_dependence.items():
+ mol = Molecule().from_adjacency_list(adj_list)
+ for sp in all_species:
+ if sp.is_isomorphic(mol, strict=False):
+ dep_name = sp.to_chemkin() if use_chemkin_identifier else sp.label
+ cov_deps[dep_name] = {
+ 'units': {'energy': 'J', 'quantity': 'mol'},
+ 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']],
+ 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']],
+ }
+ break
+ if cov_deps:
+ ct_species.update_user_data({'coverage-dependencies': cov_deps})
+
return ct_species
def has_statmech(self):
diff --git a/rmgpy/statmech/__init__.py b/rmgpy/statmech/__init__.py
index f633fe92803..9087b2dba0d 100644
--- a/rmgpy/statmech/__init__.py
+++ b/rmgpy/statmech/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/conformer.pxd b/rmgpy/statmech/conformer.pxd
index 4cd7eb99ac9..161ed1b9f09 100644
--- a/rmgpy/statmech/conformer.pxd
+++ b/rmgpy/statmech/conformer.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/conformer.pyx b/rmgpy/statmech/conformer.pyx
index a391484fc35..8570c202f47 100644
--- a/rmgpy/statmech/conformer.pyx
+++ b/rmgpy/statmech/conformer.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -326,8 +326,8 @@ cdef class Conformer(RMGObject):
kg*m^2, while the principal axes have unit length.
"""
I0 = self.get_moment_of_inertia_tensor()
- # Since I0 is real and symmetric, diagonalization is always possible
- I, V = np.linalg.eig(I0)
+ # I0 is real and symmetric by construction; use eigh so eigenvalues are guaranteed real.
+ I, V = np.linalg.eigh(I0)
return I, V
@cython.boundscheck(False)
@@ -541,6 +541,15 @@ cpdef double phi(double beta, int k, double E, logQ) except -10000000:
T = 1.0 / (constants.R * beta)
return logQ(T) - k * log(beta) + beta * E
+
+def _phi_for_optimizer(beta, int k, double E, logQ):
+ """
+ Evaluate :func:`phi` from SciPy optimizers, which pass the scalar search
+ coordinate as a one-element array.
+ """
+ return phi(float(np.asarray(beta).item()), k, E, logQ)
+
+
@cython.boundscheck(False)
@cython.wraparound(False)
def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, int order=1):
@@ -557,6 +566,7 @@ def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, i
cdef np.ndarray[np.float64_t, ndim=1] dens_states, sum_states
cdef double x, dx, v, E, dE
+ cdef object opt_result
cdef int i, k
if order != 1 and order != 2:
@@ -580,10 +590,10 @@ def get_density_of_states_forst(np.ndarray[np.float64_t, ndim=1] e_list, logQ, i
# Find minimum of phi func x0 arg xtol ftol maxi maxf fullout disp retall callback
try:
- x = scipy.optimize.fmin(phi, x, (k, E, logQ), 1e-8, 1e-8, 100, 1000, False, False, False, None)
+ opt_result = scipy.optimize.fmin(_phi_for_optimizer, np.array([x]), (k, E, logQ), 1e-8, 1e-8, 100, 1000, False, False, False, None)
except ValueError:
break
- x = float(x)
+ x = float(opt_result.item())
dx = 1e-2 * x
# Evaluate derivatives needed for steepest descents approximation numerically
diff --git a/rmgpy/statmech/mode.pxd b/rmgpy/statmech/mode.pxd
index 9be28471e05..387c380d0dc 100644
--- a/rmgpy/statmech/mode.pxd
+++ b/rmgpy/statmech/mode.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/mode.pyx b/rmgpy/statmech/mode.pyx
index a552992f715..a9a49acc367 100644
--- a/rmgpy/statmech/mode.pyx
+++ b/rmgpy/statmech/mode.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/ndTorsions.py b/rmgpy/statmech/ndTorsions.py
index 7ee4e31135e..38cb27da187 100644
--- a/rmgpy/statmech/ndTorsions.py
+++ b/rmgpy/statmech/ndTorsions.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -35,8 +35,9 @@
import numdifftools as nd
import numpy as np
-from scipy import integrate as inte
from scipy import interpolate
+from scipy.integrate import simpson
+
from sklearn import linear_model
from sklearn.preprocessing import PolynomialFeatures
@@ -614,7 +615,7 @@ def f(*phis):
Imat[coords] = f(*rphis[np.array(coords)])
for i in range(len(self.pivots)):
- Imat = inte.simps(Imat, rphis)
+ Imat = simpson(Imat, rphis)
intg = Imat
diff --git a/rmgpy/statmech/rotation.pxd b/rmgpy/statmech/rotation.pxd
index 943f99500b4..2674d558651 100644
--- a/rmgpy/statmech/rotation.pxd
+++ b/rmgpy/statmech/rotation.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/rotation.pyx b/rmgpy/statmech/rotation.pyx
index 90f5ac719d3..f95973bfd12 100644
--- a/rmgpy/statmech/rotation.pyx
+++ b/rmgpy/statmech/rotation.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/schrodinger.pxd b/rmgpy/statmech/schrodinger.pxd
index ce42a09b1c8..8e1fb2ebc42 100644
--- a/rmgpy/statmech/schrodinger.pxd
+++ b/rmgpy/statmech/schrodinger.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/schrodinger.pyx b/rmgpy/statmech/schrodinger.pyx
index 95d939dc903..50955e63530 100644
--- a/rmgpy/statmech/schrodinger.pyx
+++ b/rmgpy/statmech/schrodinger.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/torsion.pxd b/rmgpy/statmech/torsion.pxd
index 2a39dbc506b..6bf4ea637b6 100644
--- a/rmgpy/statmech/torsion.pxd
+++ b/rmgpy/statmech/torsion.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/torsion.pyx b/rmgpy/statmech/torsion.pyx
index a968addb233..7f373d8cfd9 100644
--- a/rmgpy/statmech/torsion.pyx
+++ b/rmgpy/statmech/torsion.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/translation.pxd b/rmgpy/statmech/translation.pxd
index 4556029d00f..d572445267c 100644
--- a/rmgpy/statmech/translation.pxd
+++ b/rmgpy/statmech/translation.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/translation.pyx b/rmgpy/statmech/translation.pyx
index d44e6940b7e..c7336ee80ed 100644
--- a/rmgpy/statmech/translation.pyx
+++ b/rmgpy/statmech/translation.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/vibration.pxd b/rmgpy/statmech/vibration.pxd
index 628ca0f6e7c..85e1306d136 100644
--- a/rmgpy/statmech/vibration.pxd
+++ b/rmgpy/statmech/vibration.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/statmech/vibration.pyx b/rmgpy/statmech/vibration.pyx
index 9201893b696..17c335dad0c 100644
--- a/rmgpy/statmech/vibration.pyx
+++ b/rmgpy/statmech/vibration.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/stats.py b/rmgpy/stats.py
index a1293900401..3c25efcbb4f 100644
--- a/rmgpy/stats.py
+++ b/rmgpy/stats.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/thermo/__init__.py b/rmgpy/thermo/__init__.py
index a7231072bd7..df48a09d7bd 100644
--- a/rmgpy/thermo/__init__.py
+++ b/rmgpy/thermo/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/thermo/model.pxd b/rmgpy/thermo/model.pxd
index 98dd295a5e9..6c432cb502c 100644
--- a/rmgpy/thermo/model.pxd
+++ b/rmgpy/thermo/model.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/thermo/model.pyx b/rmgpy/thermo/model.pyx
index 502c8639257..cf8ff2a4b24 100644
--- a/rmgpy/thermo/model.pyx
+++ b/rmgpy/thermo/model.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/thermo/nasa.pxd b/rmgpy/thermo/nasa.pxd
index b462301f72a..2a306ca46dd 100644
--- a/rmgpy/thermo/nasa.pxd
+++ b/rmgpy/thermo/nasa.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -56,6 +56,7 @@ cdef class NASAPolynomial(HeatCapacityModel):
cdef class NASA(HeatCapacityModel):
cdef public NASAPolynomial poly1, poly2, poly3
+ cdef public dict _thermo_coverage_dependence
cpdef NASAPolynomial select_polynomial(self, double T)
diff --git a/rmgpy/thermo/nasa.pyx b/rmgpy/thermo/nasa.pyx
index e484f3036f3..c89cb9bab16 100644
--- a/rmgpy/thermo/nasa.pyx
+++ b/rmgpy/thermo/nasa.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -34,6 +34,7 @@ cimport numpy as np
from libc.math cimport log
cimport rmgpy.constants as constants
+import rmgpy.quantity as quantity
################################################################################
@@ -43,15 +44,15 @@ cdef class NASAPolynomial(HeatCapacityModel):
seven-coefficient and nine-coefficient variations are supported.
The attributes are:
- =============== ============================================================
- Attribute Description
- =============== ============================================================
- `coeffs` The seven or nine NASA polynomial coefficients
- `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
- `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
- `E0` The energy at zero Kelvin (including zero point energy)
- `comment` Information about the model (e.g. its source)
- =============== ============================================================
+ ========= ============================================================
+ Attribute Description
+ ========= ============================================================
+ `coeffs` The seven or nine NASA polynomial coefficients
+ `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
+ `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
+ `E0` The energy at zero Kelvin (including zero point energy)
+ `comment` Information about the model (e.g. its source)
+ ========= ============================================================
"""
@@ -203,24 +204,26 @@ cdef class NASA(HeatCapacityModel):
A heat capacity model based on a set of one, two, or three
:class:`NASAPolynomial` objects. The attributes are:
- =============== ============================================================
- Attribute Description
- =============== ============================================================
- `polynomials` The list of NASA polynomials to use in this model
- `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
- `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
- `E0` The energy at zero Kelvin (including zero point energy)
- `comment` Information about the model (e.g. its source)
- =============== ============================================================
+ ============================ ============================================================
+ Attribute Description
+ ============================ ============================================================
+ `polynomials` The list of NASA polynomials to use in this model
+ `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
+ `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
+ `E0` The energy at zero Kelvin (including zero point energy)
+ `thermo_coverage_dependence` The coverage dependence of the thermo
+ `comment` Information about the model (e.g. its source)
+ ============================ ============================================================
"""
- def __init__(self, polynomials=None, Tmin=None, Tmax=None, E0=None, Cp0=None, CpInf=None, label='', comment=''):
+ def __init__(self, polynomials=None, Tmin=None, Tmax=None, E0=None, Cp0=None, CpInf=None, label='', thermo_coverage_dependence=None, comment=''):
HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment)
if isinstance(polynomials, dict):
self.polynomials = list(polynomials.values())
else:
self.polynomials = polynomials
+ self.thermo_coverage_dependence = thermo_coverage_dependence
def __repr__(self):
"""
@@ -235,6 +238,7 @@ cdef class NASA(HeatCapacityModel):
if self.Cp0 is not None: string += ', Cp0={0!r}'.format(self.Cp0)
if self.CpInf is not None: string += ', CpInf={0!r}'.format(self.CpInf)
if self.label != '': string += ', label="""{0}"""'.format(self.label)
+ if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence)
if self.comment != '': string += ', comment="""{0}"""'.format(self.comment)
string += ')'
return string
@@ -243,7 +247,7 @@ cdef class NASA(HeatCapacityModel):
"""
A helper function used when pickling an object.
"""
- return (NASA, (self.polynomials, self.Tmin, self.Tmax, self.E0, self.Cp0, self.CpInf, self.label, self.comment))
+ return (NASA, (self.polynomials, self.Tmin, self.Tmax, self.E0, self.Cp0, self.CpInf, self.label, self.thermo_coverage_dependence, self.comment))
cpdef dict as_dict(self):
"""
@@ -300,6 +304,23 @@ cdef class NASA(HeatCapacityModel):
else:
raise ValueError('No valid NASA polynomial at temperature {0:g} K.'.format(T))
+ property thermo_coverage_dependence:
+ """The coverage dependence of the thermo"""
+ def __get__(self):
+ return self._thermo_coverage_dependence
+ def __set__(self, value):
+ if value:
+ self._thermo_coverage_dependence = {}
+ for species, parameters in value.items():
+ # just the polynomial model for now
+ processed_parameters = {'model': parameters['model'],
+ 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']],
+ 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']],
+ }
+ self._thermo_coverage_dependence[species] = processed_parameters
+ else:
+ self._thermo_coverage_dependence = None
+
cpdef double get_heat_capacity(self, double T) except -1000000000:
"""
Return the constant-pressure heat capacity
@@ -347,6 +368,7 @@ cdef class NASA(HeatCapacityModel):
Cp0 = self.Cp0,
CpInf = self.CpInf,
E0 = self.E0,
+ thermo_coverage_dependence = self.thermo_coverage_dependence,
comment = self.comment
)
@@ -379,7 +401,7 @@ cdef class NASA(HeatCapacityModel):
H298 = self.get_enthalpy(298)
S298 = self.get_entropy(298)
- return Wilhoit(label=self.label,comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298)
+ return Wilhoit(label=self.label, thermo_coverage_dependence=self.thermo_coverage_dependence, comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298)
cpdef NASA change_base_enthalpy(self, double deltaH):
"""
diff --git a/rmgpy/thermo/thermodata.pxd b/rmgpy/thermo/thermodata.pxd
index d9052db0b4e..70f035aad7d 100644
--- a/rmgpy/thermo/thermodata.pxd
+++ b/rmgpy/thermo/thermodata.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -38,6 +38,7 @@ cdef class ThermoData(HeatCapacityModel):
cdef public ScalarQuantity _H298, _S298
cdef public ArrayQuantity _Tdata, _Cpdata
+ cdef public dict _thermo_coverage_dependence
cpdef double get_heat_capacity(self, double T) except -1000000000
diff --git a/rmgpy/thermo/thermodata.pyx b/rmgpy/thermo/thermodata.pyx
index 5248e79a563..075f750433f 100644
--- a/rmgpy/thermo/thermodata.pyx
+++ b/rmgpy/thermo/thermodata.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -43,27 +43,29 @@ cdef class ThermoData(HeatCapacityModel):
A heat capacity model based on a set of discrete heat capacity data points.
The attributes are:
- =============== ============================================================
- Attribute Description
- =============== ============================================================
- `Tdata` An array of temperatures at which the heat capacity is known
- `Cpdata` An array of heat capacities at the given temperatures
- `H298` The standard enthalpy of formation at 298 K
- `S298` The standard entropy at 298 K
- `Tmin` The minimum temperature at which the model is valid, or zero if unknown or undefined
- `Tmax` The maximum temperature at which the model is valid, or zero if unknown or undefined
- `E0` The energy at zero Kelvin (including zero point energy)
- `comment` Information about the model (e.g. its source)
- =============== ============================================================
+ =========================== ============================================================
+ Attribute Description
+ =========================== ============================================================
+ `Tdata` An array of temperatures at which the heat capacity is known
+ `Cpdata` An array of heat capacities at the given temperatures
+ `H298` The standard enthalpy of formation at 298 K
+ `S298` The standard entropy at 298 K
+ `Tmin` The minimum temperature at which the model is valid, or zero if unknown or undefined
+ `Tmax` The maximum temperature at which the model is valid, or zero if unknown or undefined
+ `E0` The energy at zero Kelvin (including zero point energy)
+ `thermo_coverage_dependence` The coverage dependence of the thermo
+ `comment` Information about the model (e.g. its source)
+ =========================== ============================================================
"""
- def __init__(self, Tdata=None, Cpdata=None, H298=None, S298=None, Cp0=None, CpInf=None, Tmin=None, Tmax=None, E0=None, label = '',comment=''):
+ def __init__(self, Tdata=None, Cpdata=None, H298=None, S298=None, Cp0=None, CpInf=None, Tmin=None, Tmax=None, E0=None, label = '', thermo_coverage_dependence=None, comment=''):
HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, E0=E0, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment)
self.H298 = H298
self.S298 = S298
self.Tdata = Tdata
self.Cpdata = Cpdata
+ self.thermo_coverage_dependence = thermo_coverage_dependence
def __repr__(self):
"""
@@ -77,6 +79,7 @@ cdef class ThermoData(HeatCapacityModel):
if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax)
if self.E0 is not None: string += ', E0={0!r}'.format(self.E0)
if self.label != '': string +=', label="""{0}"""'.format(self.label)
+ if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence)
if self.comment != '': string += ', comment="""{0}"""'.format(self.comment)
string += ')'
return string
@@ -85,7 +88,7 @@ cdef class ThermoData(HeatCapacityModel):
"""
A helper function used when pickling a ThermoData object.
"""
- return (ThermoData, (self.Tdata, self.Cpdata, self.H298, self.S298, self.Cp0, self.CpInf, self.Tmin, self.Tmax, self.E0, self.label, self.comment))
+ return (ThermoData, (self.Tdata, self.Cpdata, self.H298, self.S298, self.Cp0, self.CpInf, self.Tmin, self.Tmax, self.E0, self.label, self.thermo_coverage_dependence, self.comment))
property Tdata:
"""An array of temperatures at which the heat capacity is known."""
@@ -114,6 +117,23 @@ cdef class ThermoData(HeatCapacityModel):
return self._S298
def __set__(self, value):
self._S298 = quantity.Entropy(value)
+
+ property thermo_coverage_dependence:
+ """The coverage dependence of the thermo"""
+ def __get__(self):
+ return self._thermo_coverage_dependence
+ def __set__(self, value):
+ if value:
+ self._thermo_coverage_dependence = {}
+ for species, parameters in value.items():
+ # just the polynomial model for now
+ processed_parameters = {'model': parameters['model'],
+ 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']],
+ 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']],
+ }
+ self._thermo_coverage_dependence[species] = processed_parameters
+ else:
+ self._thermo_coverage_dependence = None
@cython.boundscheck(False)
@cython.wraparound(False)
@@ -361,12 +381,12 @@ cdef class ThermoData(HeatCapacityModel):
S298 = self.get_entropy(298)
Cp0 = self._Cp0.value_si
CpInf = self._CpInf.value_si
-
+ thermo_cov_dep = self.thermo_coverage_dependence
if B:
- return Wilhoit(label=self.label,comment=self.comment).fit_to_data_for_constant_b(Tdata, Cpdata, Cp0, CpInf, H298, S298, B=B)
+ return Wilhoit(label=self.label, thermo_coverage_dependence=thermo_cov_dep, comment=self.comment).fit_to_data_for_constant_b(Tdata, Cpdata, Cp0, CpInf, H298, S298, B=B)
else:
- return Wilhoit(label=self.label,comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298)
+ return Wilhoit(label=self.label, thermo_coverage_dependence=thermo_cov_dep, comment=self.comment).fit_to_data(Tdata, Cpdata, Cp0, CpInf, H298, S298)
cpdef NASA to_nasa(self, double Tmin, double Tmax, double Tint, bint fixedTint=False, bint weighting=True, int continuity=3):
"""
diff --git a/rmgpy/thermo/thermoengine.py b/rmgpy/thermo/thermoengine.py
index e8840770a57..0e16c3a7b84 100644
--- a/rmgpy/thermo/thermoengine.py
+++ b/rmgpy/thermo/thermoengine.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/thermo/wilhoit.pxd b/rmgpy/thermo/wilhoit.pxd
index 576c8a2e671..f6494657a31 100644
--- a/rmgpy/thermo/wilhoit.pxd
+++ b/rmgpy/thermo/wilhoit.pxd
@@ -2,7 +2,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -38,6 +38,7 @@ cdef class Wilhoit(HeatCapacityModel):
cdef public ScalarQuantity _B, _H0, _S0
cdef public double a0, a1, a2, a3
+ cdef public dict _thermo_coverage_dependence
cpdef dict as_dict(self)
diff --git a/rmgpy/thermo/wilhoit.pyx b/rmgpy/thermo/wilhoit.pyx
index 20a1061b18e..b9eb63dd976 100644
--- a/rmgpy/thermo/wilhoit.pyx
+++ b/rmgpy/thermo/wilhoit.pyx
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -45,24 +45,25 @@ cdef class Wilhoit(HeatCapacityModel):
"""
A heat capacity model based on the Wilhoit equation. The attributes are:
- =============== ============================================================
- Attribute Description
- =============== ============================================================
- `a0` The zeroth-order Wilhoit polynomial coefficient
- `a1` The first-order Wilhoit polynomial coefficient
- `a2` The second-order Wilhoit polynomial coefficient
- `a3` The third-order Wilhoit polynomial coefficient
- `H0` The integration constant for enthalpy (not H at T=0)
- `S0` The integration constant for entropy (not S at T=0)
- `E0` The energy at zero Kelvin (including zero point energy)
- `B` The Wilhoit scaled temperature coefficient in K
- `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
- `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
- `comment` Information about the model (e.g. its source)
- =============== ============================================================
+ ============================= =========================================================================================
+ Attribute Description
+ ============================= =========================================================================================
+ `a0` The zeroth-order Wilhoit polynomial coefficient
+ `a1` The first-order Wilhoit polynomial coefficient
+ `a2` The second-order Wilhoit polynomial coefficient
+ `a3` The third-order Wilhoit polynomial coefficient
+ `H0` The integration constant for enthalpy (not H at T=0)
+ `S0` The integration constant for entropy (not S at T=0)
+ `E0` The energy at zero Kelvin (including zero point energy)
+ `B` The Wilhoit scaled temperature coefficient in K
+ `Tmin` The minimum temperature in K at which the model is valid, or zero if unknown or undefined
+ `Tmax` The maximum temperature in K at which the model is valid, or zero if unknown or undefined
+ `thermo_coverage_dependence` The coverage dependence of the thermo
+ `comment` Information about the model (e.g. its source)
+ ============================= =========================================================================================
"""
- def __init__(self, Cp0=None, CpInf=None, a0=0.0, a1=0.0, a2=0.0, a3=0.0, H0=None, S0=None, B=None, Tmin=None, Tmax=None, label='', comment=''):
+ def __init__(self, Cp0=None, CpInf=None, a0=0.0, a1=0.0, a2=0.0, a3=0.0, H0=None, S0=None, B=None, Tmin=None, Tmax=None, label='', thermo_coverage_dependence=None, comment=''):
HeatCapacityModel.__init__(self, Tmin=Tmin, Tmax=Tmax, Cp0=Cp0, CpInf=CpInf, label=label, comment=comment)
self.B = B
self.a0 = a0
@@ -71,6 +72,7 @@ cdef class Wilhoit(HeatCapacityModel):
self.a3 = a3
self.H0 = H0
self.S0 = S0
+ self.thermo_coverage_dependence = thermo_coverage_dependence
def __repr__(self):
"""
@@ -82,6 +84,7 @@ cdef class Wilhoit(HeatCapacityModel):
if self.Tmin is not None: string += ', Tmin={0!r}'.format(self.Tmin)
if self.Tmax is not None: string += ', Tmax={0!r}'.format(self.Tmax)
if self.label != '': string += ', label="""{0}"""'.format(self.label)
+ if self.thermo_coverage_dependence is not None: string += ', thermo_coverage_dependence={0!r}'.format(self.thermo_coverage_dependence)
if self.comment != '': string += ', comment="""{0}"""'.format(self.comment)
string += ')'
return string
@@ -90,7 +93,7 @@ cdef class Wilhoit(HeatCapacityModel):
"""
A helper function used when pickling a Wilhoit object.
"""
- return (Wilhoit, (self.Cp0, self.CpInf, self.a0, self.a1, self.a2, self.a3, self.H0, self.S0, self.B, self.Tmin, self.Tmax, self.label, self.comment))
+ return (Wilhoit, (self.Cp0, self.CpInf, self.a0, self.a1, self.a2, self.a3, self.H0, self.S0, self.B, self.Tmin, self.Tmax, self.label, self.thermo_coverage_dependence, self.comment))
cpdef dict as_dict(self):
"""
@@ -136,6 +139,23 @@ cdef class Wilhoit(HeatCapacityModel):
return self._S0
def __set__(self, value):
self._S0 = quantity.Entropy(value)
+
+ property thermo_coverage_dependence:
+ """The coverage dependence of the thermo"""
+ def __get__(self):
+ return self._thermo_coverage_dependence
+ def __set__(self, value):
+ if value:
+ self._thermo_coverage_dependence = {}
+ for species, parameters in value.items():
+ # just the polynomial model for now
+ processed_parameters = {'model': parameters['model'],
+ 'enthalpy-coefficients': [quantity.Enthalpy(p) for p in parameters['enthalpy-coefficients']],
+ 'entropy-coefficients': [quantity.Entropy(p) for p in parameters['entropy-coefficients']],
+ }
+ self._thermo_coverage_dependence[species] = processed_parameters
+ else:
+ self._thermo_coverage_dependence = None
cpdef double get_heat_capacity(self, double T) except -1000000000:
"""
@@ -195,7 +215,8 @@ cdef class Wilhoit(HeatCapacityModel):
self.Cp0, self.CpInf,
self.a0, self.a1, self.a2, self.a3,
self.H0, self.S0, self.B,
- Tmin=self.Tmin, Tmax=self.Tmax, comment=self.comment,
+ Tmin=self.Tmin, Tmax=self.Tmax, thermo_coverage_dependence=self.thermo_coverage_dependence,
+ comment=self.comment,
)
@cython.boundscheck(False)
@@ -478,6 +499,7 @@ cdef class Wilhoit(HeatCapacityModel):
Cp0 = self.Cp0,
CpInf = self.CpInf,
E0 = self.E0,
+ thermo_coverage_dependence = self.thermo_coverage_dependence,
comment = self.comment
)
@@ -582,6 +604,7 @@ cdef class Wilhoit(HeatCapacityModel):
Cp0 = self.Cp0,
CpInf = self.CpInf,
label = self.label,
+ thermo_coverage_dependence = self.thermo_coverage_dependence,
comment = self.comment,
)
diff --git a/rmgpy/tools/__init__.py b/rmgpy/tools/__init__.py
index 1565f9f6553..c89b3ecc0b7 100644
--- a/rmgpy/tools/__init__.py
+++ b/rmgpy/tools/__init__.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/canteramodel.py b/rmgpy/tools/canteramodel.py
index 15d26c29472..e488917f658 100644
--- a/rmgpy/tools/canteramodel.py
+++ b/rmgpy/tools/canteramodel.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -126,7 +126,7 @@ def __repr__(self):
string += 'mol_frac={0}, '.format(self.mol_frac.__repr__())
if self.T0: string += 'T0={}, '.format(self.T0.__repr__())
if self.P0: string += 'P0={}, '.format(self.P0.__repr__())
- if self.V0: string += 'V0={}, '.format(self.V0__repr__())
+ if self.V0: string += 'V0={}, '.format(self.V0.__repr__())
string = string[:-2] + ')'
return string
@@ -175,54 +175,66 @@ def generate_cantera_conditions(reactor_type_list, reaction_time_list, mol_frac_
This saves all the reaction conditions into the Cantera class.
"""
- # Create individual ScalarQuantity objects for Tlist, Plist, Vlist, and reaction_time_list
- if Tlist:
- Tlist = Quantity(Tlist) # Be able to create a Quantity object from it first
- Tlist = [(Tlist.value[i], Tlist.units) for i in range(len(Tlist.value))]
- if Plist:
- Plist = Quantity(Plist)
- Plist = [(Plist.value[i], Plist.units) for i in range(len(Plist.value))]
- if Vlist:
- Vlist = Quantity(Vlist)
- Vlist = [(Vlist.value[i], Vlist.units) for i in range(len(Vlist.value))]
- if reaction_time_list:
- reaction_time_list = Quantity(reaction_time_list)
- reaction_time_list = [(reaction_time_list.value[i], reaction_time_list.units)
- for i in range(len(reaction_time_list.value))]
+ def convert_to_quantity_list(input_list):
+ """
+ Convert an input list to a list of (value, unit) tuples using Quantity.
+ """
+ if not input_list:
+ return None
+ quantity = Quantity(input_list)
+ return [(quantity.value[i], quantity.units) for i in range(len(quantity.value))]
+
+ # Convert input lists to quantity lists
+ Tlist = convert_to_quantity_list(Tlist)
+ Plist = convert_to_quantity_list(Plist)
+ Vlist = convert_to_quantity_list(Vlist)
+ reaction_time_list = convert_to_quantity_list(reaction_time_list)
conditions = []
if surface_mol_frac_list is None:
- surface_mol_frac_list = [] # initialize here to avoid mutable default argument
-
- if Tlist is None:
- for reactor_type in reactor_type_list:
- for reaction_time in reaction_time_list:
- for mol_frac in mol_frac_list:
- for surface_mol_frac in surface_mol_frac_list:
+ surface_mol_frac_list = [None]
+
+ for reactor_type in reactor_type_list:
+ for reaction_time in reaction_time_list:
+ for mol_frac in mol_frac_list:
+ for surface_mol_frac in surface_mol_frac_list:
+ # Handle the three possible cases where one of T,P,V must be None
+ if Tlist is None:
for P in Plist:
for V in Vlist:
- conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, P0=P, V0=V))
-
- elif Plist is None:
- for reactor_type in reactor_type_list:
- for reaction_time in reaction_time_list:
- for mol_frac in mol_frac_list:
- for surface_mol_frac in surface_mol_frac_list:
+ conditions.append(CanteraCondition(
+ reactor_type=reactor_type,
+ reaction_time=reaction_time,
+ mol_frac=mol_frac,
+ surface_mol_frac=surface_mol_frac,
+ P0=P,
+ V0=V
+ ))
+ elif Plist is None:
for T in Tlist:
for V in Vlist:
- conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, T0=T, V0=V))
-
- elif Vlist is None:
- for reactor_type in reactor_type_list:
- for reaction_time in reaction_time_list:
- for mol_frac in mol_frac_list:
- for surface_mol_frac in surface_mol_frac_list:
+ conditions.append(CanteraCondition(
+ reactor_type=reactor_type,
+ reaction_time=reaction_time,
+ mol_frac=mol_frac,
+ surface_mol_frac=surface_mol_frac,
+ T0=T,
+ V0=V
+ ))
+ elif Vlist is None:
for T in Tlist:
for P in Plist:
- conditions.append(CanteraCondition(reactor_type, reaction_time, mol_frac, surface_mol_frac=surface_mol_frac, T0=T, P0=P))
+ conditions.append(CanteraCondition(
+ reactor_type=reactor_type,
+ reaction_time=reaction_time,
+ mol_frac=mol_frac,
+ surface_mol_frac=surface_mol_frac,
+ T0=T,
+ P0=P
+ ))
- else:
- raise Exception("Cantera conditions must leave one of T0, P0, and V0 state variables unspecified")
+ else:
+ raise Exception("Cantera conditions must leave one of T0, P0, and V0 state variables unspecified")
return conditions
@@ -317,7 +329,7 @@ def load_model(self):
self.reaction_map[self.reaction_list.index(rxn)] = indices
- self.model = ct.Solution(thermo='IdealGas', kinetics='GasKinetics',
+ self.model = ct.Solution(thermo='ideal-gas', kinetics='gas',
species=ct_species, reactions=ct_reactions)
def refresh_model(self):
@@ -330,7 +342,7 @@ def refresh_model(self):
ct_reactions = self.model.reactions()
ct_species = self.model.species()
- self.model = ct.Solution(thermo='IdealGas', kinetics='GasKinetics',
+ self.model = ct.Solution(thermo='ideal-gas', kinetics='gas',
species=ct_species, reactions=ct_reactions)
def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs):
@@ -341,6 +353,7 @@ def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs):
Note that if this is a surface mechanism, the calling function much include surface_file as a keyword argument for the parser
"""
from cantera import ck2yaml
+ import yaml
base = os.path.basename(chemkin_file)
base_name = os.path.splitext(base)[0]
@@ -353,7 +366,20 @@ def load_chemkin_model(self, chemkin_file, transport_file=None, **kwargs):
self.model = ct.Solution(out_name)
if self.surface:
- self.surface = ct.Interface(out_name, 'surface1')
+ # Find the surface phase name in the generated YAML file
+ with open(out_name, 'r') as f:
+ yaml_data = yaml.safe_load(f)
+
+ surface_phase_name = None
+ for phase in yaml_data.get('phases', []):
+ if phase.get('thermo') == 'ideal-surface':
+ surface_phase_name = phase.get('name')
+ break
+
+ if surface_phase_name is None:
+ raise ValueError(f"No surface phase found in {out_name}")
+
+ self.surface = ct.Interface(out_name, surface_phase_name)
self.model = self.surface.adjacent['gas']
def modify_reaction_kinetics(self, rmg_reaction_index, rmg_reaction):
@@ -421,8 +447,10 @@ def plot(self, data, top_species=10, top_sensitive_reactions=10, top_sensitive_s
num_reactions=top_sensitive_reactions).barplot(
os.path.join(self.output_directory, '{0}_{1}_reaction_sensitivity.png'.format(i + 1, species.to_chemkin())))
if self.thermo_SA:
+ for k in range(len(thermodynamic_sensitivity_data)):
+ thermodynamic_sensitivity_data[k].data *= 4184000 # convert from J/kmol to kcal/mol
ThermoSensitivityPlot(x_var=time,
- y_var=thermodynamic_sensitivity_data[j * num_ct_species:(j + 1) * num_ct_species]*4184000,
+ y_var=thermodynamic_sensitivity_data[j * num_ct_species:(j + 1) * num_ct_species],
xlabel='dln(c)/d(H_i) [(kcal/mol)^-1]',
num_species=top_sensitive_species).barplot(
os.path.join(self.output_directory, '{0}_{1}_thermo_sensitivity.png'.format(i + 1, species.to_chemkin())))
@@ -519,7 +547,7 @@ def simulate(self):
pressure.append(cantera_reactor.thermo.P)
if self.surface:
- species_data.append(np.concatenate((cantera_reactor.thermo[species_names_list].X, rsurf.kinetics.coverages)))
+ species_data.append(np.concatenate((cantera_reactor.thermo[species_names_list].X, rsurf.coverages)))
N_gas = len(cantera_reactor.thermo[species_names_list].X)
else:
species_data.append(cantera_reactor.thermo[species_names_list].X)
@@ -817,13 +845,11 @@ def check_equivalent_falloff(fall1, fall2):
if isinstance(ct_rxn1, ct.Reaction):
# may not mean it is arrhenius, need to check if it is troe,
if isinstance(ct_rxn1.rate, ct.ArrheniusRate):
- assert ct_rxn1.allow_negative_pre_exponential_factor == ct_rxn2.allow_negative_pre_exponential_factor, \
- "Same allow_negative_pre_exponential_factor attribute"
if ct_rxn1.rate or ct_rxn2.rate:
check_equivalent_arrhenius(ct_rxn1.rate, ct_rxn2.rate)
elif isinstance(ct_rxn1.rate, ct.PlogRate):
if ct_rxn1.rate.rates or ct_rxn2.rate.rates:
- assert len(ct_rxn1.rates) == len(ct_rxn2.rates), "Same number of rates in PLOG reaction"
+ assert len(ct_rxn1.rate.rates) == len(ct_rxn2.rate.rates), "Same number of rates in PLOG reaction"
for i in range(len(ct_rxn1.rate.rates)):
P1, arr1 = ct_rxn1.rate.rates[i]
diff --git a/rmgpy/tools/ckcsvparser.py b/rmgpy/tools/ckcsvparser.py
index 181f1812b00..8db90594d82 100644
--- a/rmgpy/tools/ckcsvparser.py
+++ b/rmgpy/tools/ckcsvparser.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -65,7 +65,7 @@ def get_rop_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'sec': 1.0, 'min': 60., 'hr': 3600., 'msec': 1e-3, 'microsec': 1e-6}[units]
first_col_dict[header] = content_col
continue
@@ -77,7 +77,7 @@ def get_rop_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'cm': 1.0, 'mm': 0.1, 'm': 100.}[units]
first_col_dict[header] = content_col
continue
@@ -88,7 +88,7 @@ def get_rop_from_ckcsv(ckcsv_file):
species_string = label.split('_ROP_')[0]
units = row[1].strip()[1:-1].lower()
header = ''
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
if tokens[-1] == 'Total':
header += species_string + ' ROP ' + tokens[2] \
+ ' ' + tokens[-1] + '_(' + units + ')'
@@ -126,7 +126,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'sec': 1.0, 'min': 60., 'hr': 3600., 'msec': 1e-3, 'microsec': 1e-6}[units]
first_col_dict[header] = content_col
continue
@@ -138,7 +138,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'cm': 1.0, 'mm': 0.1, 'm': 100.}[units]
first_col_dict[header] = content_col
continue
@@ -150,7 +150,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], np.float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'cm3': 1.0, 'm3': 1.00e+6}[units]
first_col_dict[header] = content_col
continue
@@ -162,7 +162,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
first_col_dict[header] = content_col
continue
@@ -173,7 +173,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
units = row[1].strip()[1:-1].lower()
header = tokens[0] + '_(' + units + ')'
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
content_col *= {'bar': 1.0, 'atm': 1.01325}[units]
first_col_dict[header] = content_col
continue
@@ -184,7 +184,7 @@ def get_concentration_dict_from_ckcsv(ckcsv_file):
if 'Soln' in tokens[-1]:
raise Exception("This function only supports ckcsv with one Soln!")
species_string = label.split('Mole_fraction_')[1]
- content_col = np.array([float(r) for r in row[2:]], float)
+ content_col = np.array([float(r) for r in row[2:]], np.float64)
header = species_string + ' Mole_fraction'
if species_string not in spc_conc_dict:
spc_conc_dict[species_string] = content_col
diff --git a/rmgpy/tools/compare_cantera_yaml.py b/rmgpy/tools/compare_cantera_yaml.py
new file mode 100755
index 00000000000..43eb665967f
--- /dev/null
+++ b/rmgpy/tools/compare_cantera_yaml.py
@@ -0,0 +1,580 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+Script to compare two Cantera YAML files.
+
+This script loads two Cantera mechanism YAML files and compares them for
+structural and numerical differences. It compares:
+- YAML metadata (generator, date, units, elements, phases structure)
+- Species in each phase (names, ordering, and thermodynamic data)
+- Reactions in each phase (equations, ordering, and kinetic data)
+
+Usage:
+ python compare_cantera_yaml.py
+ python compare_cantera_yaml.py # Should show no differences
+"""
+
+import sys
+import argparse
+import logging
+from pathlib import Path
+from typing import Any, List, Tuple, Dict
+
+import yaml
+import numpy as np
+import cantera as ct
+
+
+class CanteraModel:
+ """
+ Represents a Cantera mechanism model loaded from a YAML file.
+
+ This class loads both the raw YAML data structure and creates Cantera
+ Solution objects for each phase defined in the file.
+
+ Attributes
+ ----------
+ file_path : str
+ Path to the Cantera YAML file.
+ yaml_data : dict
+ Raw YAML data loaded from the file.
+ phases : dict
+ Dictionary of phase_name -> ct.Solution objects.
+ """
+
+ def __init__(self, file_path: str):
+ """
+ Initialize a CanteraModel by loading the YAML file and all its phases.
+
+ Parameters
+ ----------
+ file_path : str
+ Path to the Cantera YAML file.
+
+ Raises
+ ------
+ FileNotFoundError
+ If the file does not exist.
+ Exception
+ If loading the YAML or phases fails.
+ """
+ self.file_path = file_path
+ self.yaml_data = None
+ self.phases = {}
+
+ # Load the YAML structure
+ self.load_yaml()
+
+ # Extract phase names and load each phase
+ phase_names = self._extract_phase_names()
+ self.load_phases(phase_names)
+
+ def load_yaml(self) -> dict:
+ """
+ Load the YAML file into a dictionary structure using yaml.safe_load().
+
+ Returns
+ -------
+ dict
+ The YAML data structure.
+
+ Raises
+ ------
+ FileNotFoundError
+ If the file does not exist.
+ yaml.YAMLError
+ If YAML parsing fails.
+ """
+ with open(self.file_path, 'r') as f:
+ self.yaml_data = yaml.safe_load(f)
+ return self.yaml_data
+
+ def _extract_phase_names(self) -> List[str]:
+ """
+ Extract phase names from the loaded YAML data.
+
+ Returns
+ -------
+ list of str
+ List of phase names found in the 'phases' section.
+
+ Raises
+ ------
+ ValueError
+ If 'phases' key is not found or is empty.
+ """
+ if self.yaml_data is None:
+ raise ValueError("YAML data not loaded. Call load_yaml() first.")
+
+ if 'phases' not in self.yaml_data:
+ raise ValueError(f"No 'phases' key found in {self.file_path}")
+
+ phases_list = self.yaml_data['phases']
+ if not phases_list:
+ raise ValueError(f"'phases' list is empty in {self.file_path}")
+
+ phase_names = []
+ for phase in phases_list:
+ if 'name' not in phase:
+ raise ValueError(f"Phase definition missing 'name' key: {phase}")
+ phase_names.append(phase['name'])
+
+ return phase_names
+
+ def load_phases(self, phase_names: List[str]):
+ """
+ Load Cantera Solution objects for the specified phases.
+
+ Parameters
+ ----------
+ phase_names : list of str
+ List of phase names to load from the YAML file.
+
+ Raises
+ ------
+ RuntimeError
+ If loading any phase fails (with original exception chained).
+ """
+ for phase_name in phase_names:
+ try:
+ solution = ct.Solution(self.file_path, name=phase_name)
+ self.phases[phase_name] = solution
+ except Exception as e:
+ raise RuntimeError(f"Failed to load phase '{phase_name}' from {self.file_path}") from e
+
+
+
+def is_numeric(value: Any) -> bool:
+ """Check if a value is numeric (int or float)."""
+ return isinstance(value, (int, float, np.number)) and not isinstance(value, bool)
+
+
+def compare_values(val1: Any, val2: Any, path: str, atol: float = 1e-12,
+ rtol: float = 1e-3) -> List[str]:
+ """Compare two values and return a list of differences.
+
+ Parameters
+ ----------
+ val1 : Any
+ First value to compare.
+ val2 : Any
+ Second value to compare.
+ path : str
+ Path in the dictionary (for error reporting).
+ atol : float
+ Absolute tolerance for numerical comparisons.
+ rtol : float
+ Relative tolerance for numerical comparisons.
+
+ Returns
+ -------
+ list of str
+ List of difference descriptions, empty if no differences found.
+ """
+ differences = []
+
+ ### SPECIAL CASES
+ # Special handling for 'elements' path - normalize to title case and sort
+ if path.endswith('elements') and val1 and val2:
+ if isinstance(val1[0], str) and isinstance(val2[0], str):
+ # the elements list in a phase, eg. elements: [H, C, O, N, Ne, X]
+ val1_normalized = sorted([v.title() for v in val1])
+ val2_normalized = sorted([v.title() for v in val2])
+ if val1_normalized != val2_normalized:
+ differences.append(f"Elements list mismatch at {path}: {val1_normalized} vs {val2_normalized}")
+ return differences
+ if isinstance(val1[0], dict) and isinstance(val2[0], dict):
+ # The top level elements list like elements:[{symbol: D, atomic-weight: 2.014102}]
+ val1 = [dict(d, symbol=d['symbol'].title()) for d in val1]
+ val2 = [dict(d, symbol=d['symbol'].title()) for d in val2]
+ val1 = sorted([d for d in val1], key=lambda x: x['symbol'])
+ val2 = sorted([d for d in val2], key=lambda x: x['symbol'])
+
+ if path.endswith('Troe.T1') or path.endswith('Troe.T2') or path.endswith('Troe.T3'):
+ rtol = 0.005 # Relax tolerance due to rounding.
+
+ if path.endswith('rate-constant.b'):
+ atol = 0.0005 # ck rounds to 0.001
+
+ if path.endswith('rate-constant.Ea'):
+ atol = 4185/2 # ck rounds to 0.001 kcal/mol which is 4184 J/kmol
+
+ ### END OF SPECIAL CASES
+
+ # Type checking
+ if type(val1) != type(val2):
+ differences.append(f"Type mismatch at {path}: {type(val1).__name__} vs {type(val2).__name__}")
+ return differences
+
+ # Handle dictionaries recursively
+ if isinstance(val1, dict):
+ for key in set(list(val1.keys()) + list(val2.keys())):
+ if key not in val1:
+ if key == 'reference-pressure':
+ continue # Ignore missing 'reference-pressure' key SPECIAL CASE
+ differences.append(f"Missing key in first file at {path}.{key}")
+ elif key not in val2:
+ differences.append(f"Missing key in second file at {path}.{key}")
+ else:
+ new_path = f"{path}.{key}" if path else key
+ differences.extend(compare_values(val1[key], val2[key], new_path, atol, rtol))
+
+ # Handle lists recursively
+ elif isinstance(val1, list):
+ if len(val1) != len(val2):
+ differences.append(f"List length mismatch at {path}: {len(val1)} vs {len(val2)}")
+ # Compare up to the shorter length
+ min_len = min(len(val1), len(val2))
+ else:
+ min_len = len(val1)
+
+ for i in range(min_len):
+ new_path = f"{path}[{i}]"
+ differences.extend(compare_values(val1[i], val2[i], new_path, atol, rtol))
+
+ # Handle numeric values with tolerance
+ elif is_numeric(val1) and is_numeric(val2):
+ # Use numpy.isclose for comparison
+ if not np.isclose(val1, val2, atol=atol, rtol=rtol):
+ # Compute the difference for reporting
+ diff = (val2 - val1)
+ ratio = (val2 / val1) if val1 != 0 else float('inf')
+ differences.append(f"Numerical difference at {path}: {val1} vs {val2} "
+ f"(difference={diff:.2g}, ratio={ratio:.2g})")
+
+ # Handle strings and other comparable types
+ elif val1 != val2:
+ differences.append(f"Value mismatch at {path}: {val1!r} vs {val2!r}")
+
+ return differences
+
+
+def compare_yaml_files(file1: str, file2: str, atol: float = 1e-12,
+ rtol: float = 1e-3) -> List[str]:
+ """Compare two Cantera YAML files.
+
+ Compares both the raw YAML structure and the species/reactions
+ from loaded Cantera phases.
+
+ Parameters
+ ----------
+ file1 : str
+ Path to the first YAML file.
+ file2 : str
+ Path to the second YAML file.
+ atol : float
+ Absolute tolerance for numerical comparisons.
+ rtol : float
+ Relative tolerance for numerical comparisons.
+
+ Returns
+ -------
+ list of str
+ List of difference descriptions (empty if files are equivalent).
+ """
+ differences = []
+
+ logging.info("Loading %s...", file1)
+ model1 = CanteraModel(file1)
+
+ logging.info("Loading %s...", file2)
+ model2 = CanteraModel(file2)
+
+ # Compare YAML metadata (everything except species and reactions details)
+ logging.info("Comparing YAML metadata...")
+ yaml_meta1 = _extract_yaml_metadata(model1.yaml_data)
+ yaml_meta2 = _extract_yaml_metadata(model2.yaml_data)
+
+ for ym in (yaml_meta1, yaml_meta2):
+ ym.pop('cantera-version', None)
+ ym.pop('input-files', None)
+ ym.pop('date', None)
+
+ differences.extend(compare_values(yaml_meta1, yaml_meta2, "metadata", atol, rtol))
+
+ # Compare phases sequentially by order
+ logging.info("Comparing phases...")
+ phase_list1 = model1.yaml_data.get('phases', [])
+ phase_list2 = model2.yaml_data.get('phases', [])
+
+ if len(phase_list1) != len(phase_list2):
+ differences.append(f"Number of phases differs: {len(phase_list1)} vs {len(phase_list2)}")
+
+ # Compare each phase by order
+ for i in range(max(len(phase_list1), len(phase_list2))):
+ if i >= len(phase_list1):
+ differences.append(f"Phase {i}: missing in first file (second file has '{phase_list2[i]['name']}')")
+ continue
+ if i >= len(phase_list2):
+ differences.append(f"Phase {i}: missing in second file (first file has '{phase_list1[i]['name']}')")
+ continue
+
+ phase1_name = phase_list1[i]['name']
+ phase2_name = phase_list2[i]['name']
+
+ if phase1_name != phase2_name:
+ differences.append(f"Phase {i}: name differs: '{phase1_name}' vs '{phase2_name}'")
+
+ # Compare species and reactions for this phase
+ phase1 = model1.phases[phase1_name]
+ phase2 = model2.phases[phase2_name]
+
+ logging.info(" Comparing species in phase '%s'...", phase1_name)
+ differences.extend(_compare_species(phase1, phase2, phase1_name, atol, rtol))
+
+ logging.info(" Comparing reactions in phase '%s'...", phase1_name)
+ differences.extend(_compare_reactions(phase1, phase2, phase1_name, atol, rtol))
+
+ return differences
+
+
+def compare_yaml_files_and_report(file1: str, file2: str, atol: float = 1e-12,
+ rtol: float = 1e-3, output: str = None) -> bool:
+ """Compare two Cantera YAML files and report results via logging.
+
+ Performs a comparison between two Cantera YAML files and logs the results.
+ If an output file path is provided, also writes the report to that file.
+
+ Parameters
+ ----------
+ file1 : str
+ Path to the first YAML file.
+ file2 : str
+ Path to the second YAML file.
+ atol : float
+ Absolute tolerance for numerical comparisons.
+ rtol : float
+ Relative tolerance for numerical comparisons.
+ output : str, optional
+ Path to an output file where the comparison report will be written.
+ If None, only logs to the standard logger.
+
+ Returns
+ -------
+ bool
+ True if files are equivalent (no differences), False otherwise.
+ """
+ file_handler = None
+ root_logger = logging.getLogger()
+
+ try:
+ # Set up optional file logging if output path provided
+ if output:
+ file_handler = logging.FileHandler(output)
+ file_handler.setFormatter(logging.Formatter("%(message)s"))
+ root_logger.addHandler(file_handler)
+
+ # Check if file2 exists
+ if not Path(file2).exists():
+ logging.warning("Cantera YAML comparison skipped; file not found at %s", file2)
+ return False
+
+ # Perform the comparison
+ differences = compare_yaml_files(file1, file2, atol, rtol)
+
+ # Log and report results
+ if differences:
+ logging.warning(
+ "Cantera YAML comparison found %d difference(s) between %s and %s",
+ len(differences),
+ file1,
+ file2,
+ )
+ for diff in differences:
+ logging.warning(" %s", diff)
+ return False
+ else:
+ logging.info(
+ "Cantera YAML comparison passed: %s matches %s",
+ file1,
+ file2,
+ )
+ return True
+
+ except Exception:
+ logging.exception("Cantera YAML comparison failed for %s vs %s", file1, file2)
+ return False
+
+ finally:
+ # Clean up the file handler
+ if file_handler:
+ file_handler.close()
+ root_logger.removeHandler(file_handler)
+
+
+def _extract_yaml_metadata(yaml_data: dict) -> dict:
+ """Extract metadata from YAML (excluding detailed species/reactions)."""
+ metadata = yaml_data.copy()
+ # Remove the detailed species and reactions lists since we'll compare those separately
+ metadata.pop('species', None)
+ metadata.pop('reactions', None)
+ reaction_blocks = []
+ for phase in yaml_data.get('phases', []):
+ reactions = phase.get('reactions', [])
+ if reactions in ('declared-species', 'all', 'none'):
+ continue
+ reaction_blocks.extend(reactions)
+ for block in reaction_blocks:
+ if block not in metadata:
+ raise ValueError(f"Phase mentioned reactions block '{block}' not found in top-level YAML keys")
+ metadata.pop(block)
+ return metadata
+
+
+def _compare_species(phase1, phase2, phase_name: str, atol: float, rtol: float) -> List[str]:
+ """Compare species in two Cantera phases."""
+ differences = []
+
+ species1 = phase1.species()
+ species2 = phase2.species()
+
+ if len(species1) != len(species2):
+ differences.append(f"Phase '{phase_name}': number of species differs: {len(species1)} vs {len(species2)}")
+
+ # Build name-to-species mapping for comparison
+ species1_map = {sp.name: sp for sp in species1}
+ species2_map = {sp.name: sp for sp in species2}
+
+ # Check for missing species
+ names1 = set(species1_map.keys())
+ names2 = set(species2_map.keys())
+
+ for name in names1 - names2:
+ differences.append(f"Phase '{phase_name}': species '{name}' only in first file")
+ for name in names2 - names1:
+ differences.append(f"Phase '{phase_name}': species '{name}' only in second file")
+
+ # Compare ordering
+ common_species = names1 & names2
+ for i in range(min(len(species1), len(species2))):
+ if species1[i].name != species2[i].name:
+ if species1[i].name in common_species and species2[i].name in common_species:
+ differences.append(f"Phase '{phase_name}': species order differs at index {i}: "
+ f"'{species1[i].name}' vs '{species2[i].name}'")
+ break # Only report first ordering difference
+
+ # Compare input_data for matching species
+ for name in sorted(common_species):
+ sp1 = species1_map[name]
+ sp2 = species2_map[name]
+ path = f"phase.{phase_name}.species.{name}"
+ differences.extend(compare_values(sp1.input_data, sp2.input_data, path, atol, rtol))
+
+ return differences
+
+
+def _compare_reactions(phase1, phase2, phase_name: str, atol: float, rtol: float) -> List[str]:
+ """Compare reactions in two Cantera phases."""
+ differences = []
+
+ reactions1 = phase1.reactions()
+ reactions2 = phase2.reactions()
+
+ if len(reactions1) != len(reactions2):
+ differences.append(f"Phase '{phase_name}': number of reactions differs: {len(reactions1)} vs {len(reactions2)}")
+
+ # Compare reactions by index (assuming they should be in the same order)
+ for i in range(min(len(reactions1), len(reactions2))):
+ rxn1 = reactions1[i]
+ rxn2 = reactions2[i]
+
+ # Check if equations match
+ eq1 = rxn1.equation
+ eq2 = rxn2.equation
+
+ if eq1 != eq2:
+ differences.append(f"Phase '{phase_name}': reaction {i} equation differs: '{eq1}' vs '{eq2}'")
+ # Still compare input_data even if equations differ
+
+ path = f"phase.{phase_name}.reaction[{i}]"
+ differences.extend(compare_values(rxn1.input_data, rxn2.input_data, path, atol, rtol))
+
+ return differences
+
+
+def main():
+ """Main entry point for the comparison script."""
+ logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
+ parser = argparse.ArgumentParser(
+ description="Compare two Cantera YAML mechanism files.",
+ formatter_class=argparse.RawDescriptionHelpFormatter,
+ epilog="""
+Examples:
+ python compare_cantera_yaml.py file1.yaml file2.yaml
+ python compare_cantera_yaml.py file1.yaml file1.yaml # Should show no differences
+ python compare_cantera_yaml.py --abs-tol 1e-6 file1.yaml file2.yaml
+ """
+ )
+ parser.add_argument("file1", help="First Cantera YAML file")
+ parser.add_argument("file2", help="Second Cantera YAML file")
+ parser.add_argument("--abs-tol", type=float, default=1e-11,
+ help="Absolute tolerance for numerical comparisons (default: 1e-11)")
+ parser.add_argument("--rel-tol", type=float, default=1e-3,
+ help="Relative tolerance for numerical comparisons (default: 1e-3)")
+
+ args = parser.parse_args()
+
+ # Verify files exist
+ for file_path in [args.file1, args.file2]:
+ if not Path(file_path).exists():
+ logging.error("File not found: %s", file_path)
+ sys.exit(1)
+
+ try:
+ differences = compare_yaml_files(
+ args.file1, args.file2, args.abs_tol, args.rel_tol
+ )
+
+ if len(differences) == 0:
+ logging.info("Files are equivalent (within specified tolerances)")
+ sys.exit(0)
+ else:
+ logging.warning("Files differ. Found %d difference(s):", len(differences))
+ for i, diff in enumerate(differences, 1):
+ logging.info("%3d. %s", i, diff)
+ sys.exit(1)
+
+ except Exception as e:
+ logging.exception("Error: %s", e)
+ sys.exit(1)
+
+
+if __name__ == "__main__":
+ logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
+ if len(sys.argv) == 1:
+ logging.info("No arguments provided. Using default test files for demonstration.")
+ rmg_root = Path(__file__).resolve().parents[2]
+
+ sys.argv.extend([
+ str(rmg_root / "testing/eg0/cantera_from_ck/chem.yaml"),
+ str(rmg_root / "testing/eg0/cantera1/chem.yaml")
+ ])
+
+ main()
diff --git a/rmgpy/tools/data.py b/rmgpy/tools/data.py
index 78812f48512..a411e9fd073 100644
--- a/rmgpy/tools/data.py
+++ b/rmgpy/tools/data.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/data/diffmodels/chem1.inp b/rmgpy/tools/data/diffmodels/chem1.inp
index 7fc3771f7db..35fcd82510e 100644
--- a/rmgpy/tools/data/diffmodels/chem1.inp
+++ b/rmgpy/tools/data/diffmodels/chem1.inp
@@ -19,7 +19,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) C 2 H 6 G100.000 5000.000 954.52 1
4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2
diff --git a/rmgpy/tools/data/diffmodels/chem2.inp b/rmgpy/tools/data/diffmodels/chem2.inp
index 7fc3771f7db..35fcd82510e 100644
--- a/rmgpy/tools/data/diffmodels/chem2.inp
+++ b/rmgpy/tools/data/diffmodels/chem2.inp
@@ -19,7 +19,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) C 2 H 6 G100.000 5000.000 954.52 1
4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2
diff --git a/rmgpy/tools/data/diffmodels/chem3.inp b/rmgpy/tools/data/diffmodels/chem3.inp
index 12570fd6e41..397571f60bc 100644
--- a/rmgpy/tools/data/diffmodels/chem3.inp
+++ b/rmgpy/tools/data/diffmodels/chem3.inp
@@ -12,7 +12,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! GRI-Mech3.0
ethane H 6C 2 G 100.000 5000.000 1002.57 1
2.56122991E+00 1.83185519E-02-7.41959133E-06 1.38553537E-09-9.75184837E-14 2
diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp
index bf6993dec8f..601f634e86d 100644
--- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp
+++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface1.inp
@@ -1,4 +1,4 @@
-SITE SDEN/2.9430E-09/ ! mol/cm^2
+SITE/SURF0/ SDEN/2.9430E-09/ ! mol/cm^2
X(1) ! X(1)
H*(10) ! H*(10)
O*(11) ! O*(11)
@@ -21,7 +21,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: surfaceThermoPt111 Binding energy corrected by LSR () from Pt111
X(1) X 1 G 100.000 5000.000 1554.83 1
diff --git a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp
index 474fb0d98b4..8fbfca2f6ae 100644
--- a/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp
+++ b/rmgpy/tools/data/diffmodels/surf_model/chem_surface2.inp
@@ -1,4 +1,4 @@
-SITE SDEN/2.9430E-09/ ! mol/cm^2
+SITE/SURF0/ SDEN/2.9430E-09/ ! mol/cm^2
X(1) ! X(1)
H*(10) ! H*(10)
O*(11) ! O*(11)
@@ -20,7 +20,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: surfaceThermoPt111 Binding energy corrected by LSR () from Pt111
X(1) X 1 G 100.000 5000.000 1554.81 1
diff --git a/rmgpy/tools/data/flux/chemkin/chem.inp b/rmgpy/tools/data/flux/chemkin/chem.inp
index 4b6d1d5e356..0de3f5962e4 100644
--- a/rmgpy/tools/data/flux/chemkin/chem.inp
+++ b/rmgpy/tools/data/flux/chemkin/chem.inp
@@ -17,7 +17,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar1 G200.000 6000.000 1000.00 1
2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
diff --git a/rmgpy/tools/data/regression/benchmark/chem_annotated.inp b/rmgpy/tools/data/regression/benchmark/chem_annotated.inp
index 1ace47d0266..926109b6e2f 100644
--- a/rmgpy/tools/data/regression/benchmark/chem_annotated.inp
+++ b/rmgpy/tools/data/regression/benchmark/chem_annotated.inp
@@ -25,7 +25,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/rmgpy/tools/data/regression/tested/chem_annotated.inp b/rmgpy/tools/data/regression/tested/chem_annotated.inp
index 17167604011..8daf18891cb 100644
--- a/rmgpy/tools/data/regression/tested/chem_annotated.inp
+++ b/rmgpy/tools/data/regression/tested/chem_annotated.inp
@@ -25,7 +25,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/rmgpy/tools/data/sim/liquid/chem.inp b/rmgpy/tools/data/sim/liquid/chem.inp
index cdf7f9c1deb..9088fb880f2 100644
--- a/rmgpy/tools/data/sim/liquid/chem.inp
+++ b/rmgpy/tools/data/sim/liquid/chem.inp
@@ -49,7 +49,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar 1 G 100.000 5000.000 3142.77 1
2.50000000E+00 3.32026413E-12-1.37161245E-15 2.48094222E-19-1.65799619E-23 2
diff --git a/rmgpy/tools/data/sim/mbSampled/chem.inp b/rmgpy/tools/data/sim/mbSampled/chem.inp
index 13a454f23d2..637d5d0e5ad 100644
--- a/rmgpy/tools/data/sim/mbSampled/chem.inp
+++ b/rmgpy/tools/data/sim/mbSampled/chem.inp
@@ -37,7 +37,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Narayanaswamy
C6H5 H 5C 6 G 100.000 5000.000 845.04 1
diff --git a/rmgpy/tools/data/sim/simple/chem.inp b/rmgpy/tools/data/sim/simple/chem.inp
index 7fc3771f7db..35fcd82510e 100644
--- a/rmgpy/tools/data/sim/simple/chem.inp
+++ b/rmgpy/tools/data/sim/simple/chem.inp
@@ -19,7 +19,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) C 2 H 6 G100.000 5000.000 954.52 1
4.58991157E+00 1.41506360E-02-4.75954111E-06 8.60275134E-10-6.21700682E-14 2
diff --git a/rmgpy/tools/data/various_kinetics/chem_annotated.inp b/rmgpy/tools/data/various_kinetics/chem_annotated.inp
index 54acce1ae8a..e299354b2c3 100644
--- a/rmgpy/tools/data/various_kinetics/chem_annotated.inp
+++ b/rmgpy/tools/data/various_kinetics/chem_annotated.inp
@@ -19,7 +19,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
!
! Thermo group additivity estimation: group(Cs-CsHHH) + gauche(Cs(CsRRR)) + other(R) + group(Cs-CsHHH) + gauche(Cs(CsRRR)) + other(R)
diff --git a/rmgpy/tools/diffmodels.py b/rmgpy/tools/diffmodels.py
index e93609a77ef..980428ffef3 100644
--- a/rmgpy/tools/diffmodels.py
+++ b/rmgpy/tools/diffmodels.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -361,17 +361,16 @@ def execute(chemkin1, species_dict1, thermo1, chemkin2, species_dict2, thermo2,
chemkin2 = chemkin_gas2
kwargs['surface_path2'] = chemkin_surface2
- try:
+ if 'surface_path1' in kwargs and 'surface_path2' in kwargs:
surface_path1 = kwargs['surface_path1']
surface_path2 = kwargs['surface_path2']
model1.species, model1.reactions = load_chemkin_file(
chemkin1, species_dict1, thermo_path=thermo1, surface_path=surface_path1)
model2.species, model2.reactions = load_chemkin_file(
chemkin2, species_dict2, thermo_path=thermo2, surface_path=surface_path2)
- except KeyError:
- if 'surface_path1' in kwargs or 'surface_path2' in kwargs:
- logging.warning('Please specify 2 surface input files if you are comparing a surface mechanism')
-
+ elif 'surface_path1' in kwargs or 'surface_path2' in kwargs:
+ raise ValueError('Please specify 2 surface input files if you are comparing a surface mechanism')
+ else:
model1.species, model1.reactions = load_chemkin_file(chemkin1, species_dict1, thermo_path=thermo1)
model2.species, model2.reactions = load_chemkin_file(chemkin2, species_dict2, thermo_path=thermo2)
diff --git a/rmgpy/tools/fluxdiagram.py b/rmgpy/tools/fluxdiagram.py
index 81ecf44f89a..dd8ce750566 100644
--- a/rmgpy/tools/fluxdiagram.py
+++ b/rmgpy/tools/fluxdiagram.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -40,7 +40,6 @@
import numpy as np
import pydot
-from rmgpy.kinetics.diffusionLimited import diffusion_limiter
from rmgpy.rmg.settings import SimulatorSettings
from rmgpy.solver.base import TerminationConversion, TerminationTime
from rmgpy.solver.liquid import LiquidReactor
@@ -208,7 +207,7 @@ def generate_flux_diagram(reaction_model, times, concentrations, reaction_rates,
continue
for root, dirs, files in os.walk(species_directory):
for f in files:
- if f.endswith(species_index):
+ if f == species_index:
image_path = os.path.join(root, f)
break
if os.path.exists(image_path):
@@ -541,6 +540,7 @@ def create_flux_diagram(input_file, chemkin_file, species_dict, save_path=None,
Generates the flux diagram based on a condition 'input_file', chemkin.inp chemkin_file,
a species_dict txt file, plus an optional chemkin_output file.
"""
+ from rmgpy.kinetics.diffusionLimited import diffusion_limiter
if species_path is None:
species_path = os.path.join(os.path.dirname(input_file), 'species')
generate_images = True
diff --git a/rmgpy/tools/generatereactions.py b/rmgpy/tools/generatereactions.py
index d37ea85e5c3..698d51508f0 100644
--- a/rmgpy/tools/generatereactions.py
+++ b/rmgpy/tools/generatereactions.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/globaluncertainty.py b/rmgpy/tools/globaluncertainty.py
index 3ce9c64f26e..d3a4f0b92f6 100644
--- a/rmgpy/tools/globaluncertainty.py
+++ b/rmgpy/tools/globaluncertainty.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/isotopes.py b/rmgpy/tools/isotopes.py
index b9650dabefa..4c7bfcfe0b1 100644
--- a/rmgpy/tools/isotopes.py
+++ b/rmgpy/tools/isotopes.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/loader.py b/rmgpy/tools/loader.py
index de7546ed489..56dcbc559c5 100644
--- a/rmgpy/tools/loader.py
+++ b/rmgpy/tools/loader.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -50,6 +50,7 @@ def load_rmg_job(
use_java=False,
use_chemkin_names=False,
check_duplicates=True,
+ surface_path=None,
):
# The argument is an RMG-Py input file
rmg = load_rmg_py_job(
@@ -59,13 +60,14 @@ def load_rmg_job(
generate_images,
use_chemkin_names=use_chemkin_names,
check_duplicates=check_duplicates,
+ surface_path=surface_path,
)
return rmg
def load_rmg_py_job(input_file, chemkin_file=None, species_dict=None, generate_images=True,
- use_chemkin_names=False, check_duplicates=True):
+ use_chemkin_names=False, check_duplicates=True, surface_path=None):
"""
Load the results of an RMG-Py job generated from the given `input_file`.
"""
@@ -83,7 +85,8 @@ def load_rmg_py_job(input_file, chemkin_file=None, species_dict=None, generate_i
species_dict = os.path.join(os.path.dirname(input_file), 'chemkin', 'species_dictionary.txt')
species_list, reaction_list = load_chemkin_file(chemkin_file, species_dict,
use_chemkin_names=use_chemkin_names,
- check_duplicates=check_duplicates)
+ check_duplicates=check_duplicates,
+ surface_path=surface_path)
# Created "observed" versions of all reactive species that are not explicitly
# identified as "constant" species
diff --git a/rmgpy/tools/mergemodels.py b/rmgpy/tools/mergemodels.py
index 7aabda32d95..7869348c621 100644
--- a/rmgpy/tools/mergemodels.py
+++ b/rmgpy/tools/mergemodels.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/observablesregression.py b/rmgpy/tools/observablesregression.py
index 17819bb14ea..62693ae896f 100644
--- a/rmgpy/tools/observablesregression.py
+++ b/rmgpy/tools/observablesregression.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -131,12 +131,14 @@ def __init__(self, title='', old_dir='', new_dir='', observables=None, expt_data
old_species_list, old_reaction_list = load_chemkin_file(
old_chemkin_path,
old_species_dict_path,
- old_transport_path
+ old_transport_path,
+ use_chemkin_names = True
)
new_species_list, new_reaction_list = load_chemkin_file(
new_chemkin_path,
new_species_dict_path,
- new_transport_path
+ new_transport_path,
+ use_chemkin_names = True
)
old_surface_species_list = None
@@ -173,14 +175,14 @@ def __init__(self, title='', old_dir='', new_dir='', observables=None, expt_data
self.old_sim.load_model()
self.new_sim.load_model()
else:
- self.old_sim.load_chemkin_model(old_chemkin_path,
- transport_file=old_transport_path,
- surface_file=old_surface_chemkin_path,
- quiet=True)
- self.new_sim.load_chemkin_model(new_chemkin_path,
- transport_file=new_transport_path,
- surface_file=new_surface_chemkin_path,
- quiet=True)
+ surface_args_old = {}
+ surface_args_new = {}
+ if surface:
+ surface_args_old["surface_file"] = old_surface_chemkin_path
+ surface_args_new["surface_file"] = new_surface_chemkin_path
+
+ self.old_sim.load_chemkin_model(old_chemkin_path, old_transport_path, quiet=True, **surface_args_old)
+ self.new_sim.load_chemkin_model(new_chemkin_path, new_transport_path, quiet=True, **surface_args_new)
def __str__(self):
"""
@@ -289,7 +291,6 @@ def compare(self, tol, plot=False):
conditions_broken = []
variables_failed = []
- print('{0} Comparison'.format(self))
# Check the species profile observables
if 'species' in self.observables:
if self.old_sim.surface_species_list:
@@ -398,7 +399,6 @@ def compare(self, tol, plot=False):
return variables_failed
else:
- print('')
print('✅ All Observables varied by less than {0:.3f} on average between old model and '
'new model in all conditions!'.format(tol))
print('')
diff --git a/rmgpy/tools/plot.py b/rmgpy/tools/plot.py
index 615441871a0..cf527664023 100644
--- a/rmgpy/tools/plot.py
+++ b/rmgpy/tools/plot.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/regression.py b/rmgpy/tools/regression.py
index 428918ae740..c62dfc46fdd 100644
--- a/rmgpy/tools/regression.py
+++ b/rmgpy/tools/regression.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -198,8 +198,44 @@ def parse_command_line_arguments():
return input_file, benchmark, tested
+def configure_logging(quiet=False):
+ """
+ Configure the root logger so that INFO (and above) goes to stdout
+ (unless quiet=True),
+ while WARNING and above *also* goes to stderr.
+
+ This means the full log is output (stdout),
+ while only genuine warnings/errors land on stderr.
+ In the CI context, run with quiet=True to make
+ annotations less verbose.
+ """
+ root = logging.getLogger()
+ root.setLevel(logging.INFO)
+
+ # Remove any handlers installed by imported libraries.
+ for handler in root.handlers[:]:
+ root.removeHandler(handler)
+
+ formatter = logging.Formatter('%(levelname)s: %(message)s')
+
+ if not quiet:
+ # INFO and above -> stdout (captured in the normal CI log).
+ stdout_handler = logging.StreamHandler(sys.stdout)
+ stdout_handler.setLevel(logging.INFO)
+ stdout_handler.setFormatter(formatter)
+ root.addHandler(stdout_handler)
+
+ # WARNING and above -> stderr (so CI flags/annotates them via regression.py.err).
+ stderr_handler = logging.StreamHandler(sys.stderr)
+ stderr_handler.setLevel(logging.WARNING)
+ stderr_handler.setFormatter(formatter)
+ root.addHandler(stderr_handler)
+
+
def main():
"Returns the list of variables that failed the regression."
+ configure_logging(quiet=True) # set quiet=False if you want more info.
+
input_file, benchmark, tested = parse_command_line_arguments()
args = read_input_file(input_file) # casetitle, observables, setups, tol
diff --git a/rmgpy/tools/simulate.py b/rmgpy/tools/simulate.py
index e6648e855fb..c9b6a784c7a 100644
--- a/rmgpy/tools/simulate.py
+++ b/rmgpy/tools/simulate.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/tools/uncertainty.py b/rmgpy/tools/uncertainty.py
index de9669dc0c5..7561bcf30f3 100644
--- a/rmgpy/tools/uncertainty.py
+++ b/rmgpy/tools/uncertainty.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -29,8 +29,11 @@
import os
+import pandas as pd
import numpy as np
+import warnings
+import rmgpy.data.thermo
import rmgpy.util as util
from rmgpy.species import Species
from rmgpy.tools.data import GenericData
@@ -42,11 +45,11 @@ class ThermoParameterUncertainty(object):
This class is an engine that generates the species uncertainty based on its thermo sources.
"""
- def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.10):
+ def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.7159, dG_ADS_correction=6.918, dG_surf_lib=6.918, other_covariances=None):
"""
Initialize the different uncertainties dG_library, dG_QM, dG_GAV, and dG_other with set values
in units of kcal/mol.
-
+
We expect a uniform distribution for some species free energy G in [Gmin, Gmax].
dG = (Gmax-Gmin)/2
"""
@@ -54,30 +57,44 @@ def __init__(self, dG_library=1.5, dG_QM=3.0, dG_GAV=1.5, dG_group=0.10):
self.dG_QM = dG_QM
self.dG_GAV = dG_GAV
self.dG_group = dG_group
+ self.dG_ADS_correction = dG_ADS_correction
+ self.dG_surf_lib = dG_surf_lib
+ self.other_covariances = other_covariances # storage of covariances as a dict. Keys are sorted tuples of parameter labels and values are covariances
def get_uncertainty_value(self, source):
"""
Retrieve the uncertainty value in kcal/mol when the source of the thermo of a species is given.
"""
- dG = 0.0
+ varG = 0.0
if 'Library' in source:
- dG += self.dG_library
+ varG += self.dG_library * self.dG_library
+ if 'Surface_Library' in source:
+ surf_lib_varG = self.dG_surf_lib * self.dG_surf_lib
+ # covariance libraries should overrule the default uncertainties when available
+ if self.other_covariances is not None:
+ label = f'Surface_Library {source["Surface_Library"]}' # match the covariance dict label format
+ cov_label = (label, label)
+ if cov_label in self.other_covariances:
+ surf_lib_varG = self.other_covariances[cov_label]
+ varG += surf_lib_varG # Add the variance of the surface library parameter if covariance is not specified in the covariance libraries
if 'QM' in source:
- dG += self.dG_QM
+ varG += self.dG_QM * self.dG_QM
if 'GAV' in source:
- dG += self.dG_GAV # Add a fixed uncertainty for the GAV method
+ varG += self.dG_GAV * self.dG_GAV # Add a fixed uncertainty for the GAV method
for group_type, group_entries in source['GAV'].items():
group_weights = [groupTuple[-1] for groupTuple in group_entries]
- dG += np.sum([weight * self.dG_group for weight in group_weights])
+ varG += np.sum([weight * weight * self.dG_group * self.dG_group for weight in group_weights])
+ if 'ADS' in source:
+ varG += self.dG_ADS_correction * self.dG_ADS_correction # Add adsorption correction uncertainty
- return dG
+ return np.sqrt(varG)
def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_group_type=None):
"""
Obtain the partial uncertainty dG/dG_corr*dG_corr, where dG_corr is the correlated parameter
-
+
`corr_param` is the parameter identifier itself, which is a integer for QM and library parameters, or a string for group values
- `corr_source_type` is a string, being either 'Library', 'QM', 'GAV', or 'Estimation'
+ `corr_source_type` is a string, being either 'Library', 'QM', 'GAV', 'ADS', or 'Estimation'
`corr_group_type` is a string used only when the source type is 'GAV' and indicates grouptype
"""
@@ -87,12 +104,26 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
# Correlated parameter is a source of the overall parameter
return self.dG_library
+ elif corr_source_type == 'Surface_Library':
+ if 'Surface_Library' in source:
+ if source['Surface_Library'] == corr_param:
+ # Correlated parameter is a source of the overall parameter
+ return self.dG_surf_lib
+
elif corr_source_type == 'QM':
if 'QM' in source:
if source['QM'] == corr_param:
# Correlated parameter is a source of the overall parameter
return self.dG_QM
+ elif corr_source_type == 'ADS':
+ if 'ADS' in source:
+ if corr_group_type in source['ADS']:
+ group_list = source['ADS'][corr_group_type]
+ for group, weight in group_list: # there should be only one group entry for adsorption corrections
+ if group == corr_param:
+ return weight * self.dG_ADS_correction
+
elif corr_source_type == 'GAV':
if 'GAV' in source:
if corr_group_type in source['GAV']:
@@ -104,8 +135,9 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
elif corr_source_type == 'Estimation':
if 'GAV' in source:
return self.dG_GAV
+
else:
- raise Exception('Thermo correlated source must be GAV, QM, Library, or Estimation')
+ raise Exception('Thermo correlated source must be GAV, QM, Library, Surface_Library, ADS, or Estimation')
# If we get here, it means the correlated parameter was not found
return None
@@ -113,11 +145,62 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
def get_uncertainty_factor(self, source):
"""
Retrieve the uncertainty factor f in kcal/mol when the source of the thermo of a species is given.
-
+
This is equivalent to sqrt(3)*dG in a uniform uncertainty interval
"""
dG = self.get_uncertainty_value(source)
f = np.sqrt(3) * dG
+ return f
+
+ def _get_covariance_qq(self, q_label1, q_label2):
+ """
+ Gets the covariance between two intermediate sources q1 and q2
+ Where q_label1 and q_label2 are both labels for a given thermo source
+
+ The possible intermediate parameter types are:
+ Library, Surface_Library, QM, Estimation, AdsorptionCorrection, or Group
+ """
+
+ # explicit covariance should overrule default uncertainties when available
+ if self.other_covariances is not None:
+ # check if covariance is specified in other_covariances dict
+ sorted_labels = tuple(sorted([q_label1, q_label2]))
+ if sorted_labels in self.other_covariances:
+ return self.other_covariances[sorted_labels]
+
+
+ intermediate_parameters = {
+ 'Library': self.dG_library,
+ 'Surface_Library': self.dG_surf_lib,
+ 'QM': self.dG_QM,
+ 'Estimation': self.dG_GAV,
+ 'AdsorptionCorrection': self.dG_ADS_correction,
+ 'Group': self.dG_group,
+ }
+
+ # figure out the type of each correlated parameter from its label
+ corr_type1 = None
+ corr_type2 = None
+
+ for intermediate_type in intermediate_parameters.keys():
+ if q_label1.startswith(intermediate_type):
+ corr_type1 = intermediate_type
+ if q_label2.startswith(intermediate_type):
+ corr_type2 = intermediate_type
+
+ if corr_type1 is None or corr_type2 is None:
+ raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}')
+
+ if corr_type1 != corr_type2:
+ return 0
+ elif q_label1 == q_label2:
+ # have to check for surface site (later reformulation will allow for isomorphic check instead of this messy/incomplete string matching)
+ if q_label1 == 'Surface_Library X(1)':
+ return 0 # surface species is our zero reference by definition, so it should have no uncertainty, and thus no covariance with itself
+
+ # If the two correlated parameters are exactly the same, return the variance of that parameter
+ return intermediate_parameters[corr_type1] ** 2.0
+ return 0
class KineticParameterUncertainty(object):
@@ -126,10 +209,10 @@ class KineticParameterUncertainty(object):
"""
def __init__(self, dlnk_library=0.5, dlnk_training=0.5, dlnk_pdep=2.0, dlnk_family=1.0, dlnk_nonexact=3.5,
- dlnk_rule=0.5):
+ dlnk_rule=0.5, dlnk_surf_library=2.659, dlnk_surf_training=2.659, dlnk_surf_rule=2.659):
"""
Initialize the different uncertainties dlnk
-
+
We expect a uniform distribution for some reaction kinetics about ln(k0) in [ln(kmin), ln(kmax)].
dlnk = (ln(kmax)-ln(kmin))/2
"""
@@ -139,23 +222,32 @@ def __init__(self, dlnk_library=0.5, dlnk_training=0.5, dlnk_pdep=2.0, dlnk_fami
self.dlnk_family = dlnk_family
self.dlnk_nonexact = dlnk_nonexact
self.dlnk_rule = dlnk_rule
+ self.dlnk_surf_library = dlnk_surf_library
+ self.dlnk_surf_training = dlnk_surf_training
+ self.dlnk_surf_rule = dlnk_surf_rule
def get_uncertainty_value(self, source):
"""
Retrieve the dlnk uncertainty when the source of the reaction kinetics are given
"""
- dlnk = 0.0
+ varlnk = 0.0
if 'Library' in source:
# Should be a single library reaction source
- dlnk += self.dlnk_library
+ varlnk += self.dlnk_library * self.dlnk_library
+ elif 'Surface_Library' in source:
+ # Should be a single library reaction source
+ varlnk += self.dlnk_surf_library * self.dlnk_surf_library
elif 'PDep' in source:
# Should be a single pdep reaction source
- dlnk += self.dlnk_pdep
+ varlnk += self.dlnk_pdep * self.dlnk_pdep
elif 'Training' in source:
# Should be a single training reaction
# Although some training entries may be used in reverse,
- # We still consider the kinetics to be directly dependent
- dlnk += self.dlnk_training
+ # We still consider the kinetics to be directly dependent
+ if 'surface' in source['Training'][0].lower():
+ varlnk += self.dlnk_surf_training * self.dlnk_surf_training
+ else:
+ varlnk += self.dlnk_training * self.dlnk_training
elif 'Rate Rules' in source:
family_label = source['Rate Rules'][0]
source_dict = source['Rate Rules'][1]
@@ -163,30 +255,35 @@ def get_uncertainty_value(self, source):
rule_weights = [ruleTuple[-1] for ruleTuple in source_dict['rules']]
training_weights = [trainingTuple[-1] for trainingTuple in source_dict['training']]
- dlnk += self.dlnk_family ** 2
+ varlnk += self.dlnk_family * self.dlnk_family
+
N = len(rule_weights) + len(training_weights)
if not exact:
# nonexactness contribution increases as N increases
- dlnk += np.log10(N + 1) * self.dlnk_nonexact
+ varlnk += (np.log10(N + 1) * self.dlnk_nonexact) * (np.log10(N + 1) * self.dlnk_nonexact)
- # Add the contributions from rules
- dlnk += np.sum([weight * self.dlnk_rule for weight in rule_weights])
- # Add the contributions from training
- # Even though these source from training reactions, we actually
- # use the uncertainty for rate rules, since these are now approximations
- # of the original reaction. We consider these to be independent of original the training
- # parameters because the rate rules may be reversing the training reactions,
- # which leads to more complicated dependence
- dlnk += np.sum([weight * self.dlnk_rule for weight in training_weights])
-
- return dlnk
+ if 'surface' in family_label.lower():
+ varlnk += np.sum([weight * weight * self.dlnk_surf_rule * self.dlnk_surf_rule for weight in rule_weights])
+ varlnk += np.sum([weight * weight * self.dlnk_surf_training * self.dlnk_surf_training for weight in training_weights])
+ else:
+ # Add the contributions from rules
+ varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in rule_weights])
+ # Add the contributions from training
+ # Even though these source from training reactions, we actually
+ # use the uncertainty for rate rules, since these are now approximations
+ # of the original reaction. We consider these to be independent of original the training
+ # parameters because the rate rules may be reversing the training reactions,
+ # which leads to more complicated dependence
+ varlnk += np.sum([weight * weight * self.dlnk_rule * self.dlnk_rule for weight in training_weights])
+
+ return np.sqrt(varlnk)
def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=None, corr_family=None):
"""
Obtain the partial uncertainty dlnk/dlnk_corr*dlnk_corr, where dlnk_corr is the correlated parameter
-
+
`corr_param` is the parameter identifier itself, which is the string identifier of the rate rule
- `corr_source_type` is a string, being either 'Rate Rules', 'Library', 'PDep', 'Training' or 'Estimation'
+ `corr_source_type` is a string, being either 'Rate Rules', 'Library', 'PDep', 'Training', 'Estimation Nonexact', or 'Estimation Family'
`corr_family` is a string used only when the source type is 'Rate Rules' and indicates the family
"""
@@ -194,17 +291,24 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
if 'Rate Rules' in source:
family_label = source['Rate Rules'][0]
if corr_family == family_label:
+ surface_family = 'surface' in family_label.lower()
source_dict = source['Rate Rules'][1]
rules = source_dict['rules']
training = source_dict['training']
if rules:
for ruleEntry, weight in rules:
if corr_param == ruleEntry:
- return weight * self.dlnk_rule
+ if surface_family:
+ return weight * self.dlnk_surf_rule
+ else:
+ return weight * self.dlnk_rule
if training:
for ruleEntry, trainingEntry, weight in training:
if corr_param == ruleEntry:
- return weight * self.dlnk_rule
+ if surface_family:
+ return weight * self.dlnk_surf_rule
+ else:
+ return weight * self.dlnk_rule
# Writing it this way in the function is not the most efficient, but makes it easy to use, and
# testing a few if statements is not too costly
@@ -213,6 +317,11 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
if corr_param == source['Library']:
# Should be a single library reaction source
return self.dlnk_library
+ elif corr_source_type == 'Surface_Library':
+ if 'Surface_Library' in source:
+ if corr_param == source['Surface_Library']:
+ # Should be a single library reaction source
+ return self.dlnk_surf_library
elif corr_source_type == 'PDep':
if 'PDep' in source:
if corr_param == source['PDep']:
@@ -221,24 +330,27 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
if 'Training' in source:
# Should be a unique single training reaction
if corr_param == source['Training']:
- return self.dlnk_training
+ if 'surface' in source['Training'][0].lower():
+ return self.dlnk_surf_training
+ else:
+ return self.dlnk_training
- elif corr_source_type == 'Estimation':
- # Return all the uncorrelated uncertainty associated with using an estimation scheme
+ elif corr_source_type == 'Estimation Nonexact':
+ # Return the uncorrelated uncertainty associated with using a non-exact rate rule
if 'Rate Rules' in source:
source_dict = source['Rate Rules'][1]
exact = source_dict['exact']
-
- dlnk = self.dlnk_family # Base uncorrelated uncertainty just from using rate rule estimation
- # Additional uncertainty from using non-exact rate rule
N = len(source_dict['rules']) + len(source_dict['training'])
if not exact:
# nonexactness contribution increases as N increases
- dlnk += np.log10(N + 1) * self.dlnk_nonexact
- return dlnk
+ return np.log10(N + 1) * self.dlnk_nonexact
+ elif corr_source_type == 'Estimation Family':
+ # Return the uncertainty associated with using a family decision tree
+ if 'Rate Rules' in source:
+ return self.dlnk_family
else:
- raise Exception('Kinetics correlated source must be Rate Rules, Library, PDep, Training, or Estimation')
+ raise Exception('Kinetics correlated source must be Rate Rules, Library, PDep, Training, Estimation Nonexact, or Estimation Family')
# If we get here, it means that we did not find the correlated parameter in the source
return None
@@ -246,11 +358,57 @@ def get_partial_uncertainty_value(self, source, corr_source_type, corr_param=Non
def get_uncertainty_factor(self, source):
"""
Retrieve the uncertainty factor f when the source of the reaction kinetics are given.
-
+
This is equivalent to sqrt(3)/ln(10) * dlnk in a uniform uncertainty interval
"""
dlnk = self.get_uncertainty_value(source)
f = np.sqrt(3) / np.log(10) * dlnk
+ return f
+
+ def _get_covariance_qq(self, q_label1, q_label2):
+ """
+ Gets the covariance between two intermediate sources q1 and q2
+ Where q_label1 and q_label2 are both labels for a given kinetics source
+
+ The possible intermediate parameter types are:
+ Library, Surface_Library, PDEP, Training, Rate Rule,
+ Estimation Family, Estimation Nonexact, Surface Training, and Surface Rate Rule
+ """
+
+ intermediate_parameters = {
+ 'Library': self.dlnk_library,
+ 'Surface_Library': self.dlnk_surf_library,
+ 'PDep': self.dlnk_pdep,
+ 'Training': self.dlnk_training,
+ 'Rate Rule': self.dlnk_rule,
+ 'Estimation Family': self.dlnk_family,
+ 'Estimation Nonexact': self.dlnk_nonexact,
+ 'Surface Training': self.dlnk_surf_training,
+ 'Surface Rate Rule': self.dlnk_surf_rule,
+ }
+
+ corr_type1 = None
+ corr_type2 = None
+
+ # figure out the intermediate parameter type
+ for intermediate_type in intermediate_parameters.keys():
+ if q_label1.startswith(intermediate_type):
+ corr_type1 = intermediate_type
+ if q_label2.startswith(intermediate_type):
+ corr_type2 = intermediate_type
+
+ if corr_type1 is None or corr_type2 is None:
+ raise ValueError(f'Could not determine the type of the correlated parameters from their labels {q_label1} and {q_label2}')
+
+ if corr_type1 != corr_type2:
+ # If the two correlated parameters are of different types, we consider them to be uncorrelated
+ return 0
+
+ elif q_label1 == q_label2:
+ # If the two correlated parameters are exactly the same, return the variance of that parameter
+ return intermediate_parameters[corr_type1] ** 2.0
+
+ return 0
class Uncertainty(object):
@@ -259,11 +417,13 @@ class Uncertainty(object):
for a single RMG-generated mechanism.
"""
- def __init__(self, species_list=None, reaction_list=None, output_directory=''):
+ def __init__(self, species_list=None, reaction_list=None, output_directory='', thermo_covariance_libraries=None, thermo_covariance_groups=None):
"""
`species_list`: list of RMG species objects
`reaction_list`: list of RMG reaction objects
`outputDirectoy`: directory path for saving output files from the analyses
+ `thermo_covariance_libraries`: list of library paths to pull additional thermo covariances from
+ `thermo_covariance_groups`: list of groups to get additional thermo covariances from
"""
self.database = None
self.species_list = species_list
@@ -272,9 +432,20 @@ def __init__(self, species_list=None, reaction_list=None, output_directory=''):
self.reaction_sources_dict = None
self.all_thermo_sources = None
self.all_kinetic_sources = None
- self.thermo_input_uncertainties = None
- self.kinetic_input_uncertainties = None
+ self.thermo_input_uncertainties = None # previous formulation thermo parameter uncertainties
+ self.kinetic_input_uncertainties = None # previous formulation kinetic parameter uncertainties
+ self.thermo_intermediate_uncertainties = None # new formulation thermo parameter uncertainties - can be dependent on each other
+ self.kinetic_intermediate_uncertainties = None # new formulation kinetic parameter uncertainties - can be dependent on each other
+ self.thermo_covariance_matrix = None # covariance matrix of all species thermo uncertainties
+ self.kinetic_covariance_matrix = None # covariance matrix of all reaction kinetic uncertainties
+ self.Sigma_ww_thermo = None # covariance matrix of all underlying thermo parameter uncertainties
+ self.Sigma_ww_kinetics = None # covariance matrix of all underlying kinetics parameter uncertainties
+ self.all_thermo_intermediates = None # list of labels of underlying thermo parameters
+ self.all_kinetics_intermediates = None # list of labels of underlying kinetic parameters
self.output_directory = output_directory if output_directory else os.getcwd()
+ self.thermo_covariance_libraries = thermo_covariance_libraries
+ self.thermo_covariance_groups = thermo_covariance_groups
+ self.thermo_covariances_dict = {} # dictionary to store covariances from covariance libraries
# For extra species needed for correlated analysis but not in model
self.extra_species = []
@@ -283,16 +454,16 @@ def __init__(self, species_list=None, reaction_list=None, output_directory=''):
if not os.path.exists(self.output_directory):
try:
os.makedirs(self.output_directory)
- except:
+ except OSError:
raise Exception('Uncertainty output directory could not be created.')
def load_database(self, kinetics_families='all', kinetics_depositories=None, thermo_libraries=None, reaction_libraries=None):
"""
This function loads a single copy of the RMGDatabase with full verbose averaging
- of the rate rule to trace kinetics sources.
-
+ of the rate rule to trace kinetics sources.
+
By default, this function loads all the kinetics families, only the training kinetics depository,
- the primaryThermoLibrary, and no reaction libraries.
+ the primaryThermoLibrary, and no reaction libraries.
"""
from rmgpy.data.rmg import RMGDatabase
from rmgpy import settings
@@ -319,11 +490,11 @@ def load_database(self, kinetics_families='all', kinetics_depositories=None, the
family.add_rules_from_training(thermo_database=self.database.thermo)
family.fill_rules_by_averaging_up(verbose=True)
- def load_model(self, chemkin_path, dictionary_path, transport_path=None):
+ def load_model(self, chemkin_path, dictionary_path, transport_path=None, surface_path=None):
"""
Load a RMG-generated model into the Uncertainty class
`chemkin_path`: path to the chem_annotated.inp CHEMKIN mechanism
- `dictionary_path`: path to the species_dictionary.txt file
+ `dictionary_path`: path to the species_dictionary.txt file
`transport_path`: path to the tran.dat file (optional)
Then create dictionaries stored in self.thermoGroups and self.rateRules
@@ -334,7 +505,8 @@ def load_model(self, chemkin_path, dictionary_path, transport_path=None):
self.species_list, self.reaction_list = load_chemkin_file(chemkin_path,
dictionary_path=dictionary_path,
- transport_path=transport_path)
+ transport_path=transport_path,
+ surface_path=surface_path)
def retrieve_saturated_species_from_list(self, species):
"""
@@ -353,6 +525,7 @@ def retrieve_saturated_species_from_list(self, species):
# couldn't find saturated species in the model, try libraries
new_spc = Species(molecule=[saturated_struct])
+ new_spc.generate_resonance_structures()
thermo = self.database.thermo.get_thermo_data_from_libraries(new_spc)
if thermo is not None:
@@ -362,30 +535,338 @@ def retrieve_saturated_species_from_list(self, species):
else:
raise Exception('Could not retrieve saturated species form of {0} from the species list'.format(species))
+ def load_thermo_covariances_from_libraries(self):
+ """
+ This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance libraries
+
+ For each library, it expects:
+ 1. a covariance.csv file containing the thermo covariance matrix and
+ 2. a species_dictionary.txt file containing the species corresponding to the covariance data. In the same order.
+
+ See the RMG-database/scripts/compile_BEEF_cov.ipynb Jupyter notebook for more details on how to generate these covariance libraries.
+
+ This function only adds covariance data for species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction)
+ and only for the thermo source associated with that library. The goal is to keep the dictionary as small as possible because the lookups scale badly.
+
+ Note: the covariance.csv matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis
+ """
+ from rmgpy.chemkin import load_species_dictionary
+ if self.database is None:
+ raise RuntimeError('Must load database before loading covariance libraries, since we need the path to the covariance libraries from the database')
+ if self.thermo_covariance_libraries is not None:
+ for cov_lib in self.thermo_covariance_libraries:
+ library_name = os.path.basename(cov_lib)
+ if library_name in self.database.thermo.libraries:
+ library = self.database.thermo.libraries[library_name]
+ library_entry_labels = [entry.label for entry in library.entries.values()]
+ else:
+ raise ValueError(f'Thermo covariance library {library_name} not found in the loaded database')
+ covariance_file = os.path.join(cov_lib, 'covariance.csv')
+ covariance_species = os.path.join(cov_lib, 'species_dictionary.txt')
+
+ if not os.path.isfile(covariance_file):
+ raise ValueError(f'Thermo covariance file {covariance_file} not found in library {cov_lib}')
+ if not os.path.isfile(covariance_species):
+ raise ValueError(f'Thermo species file {covariance_species} not found in library {cov_lib}')
+
+ # warn the user if the covariance library is older than the thermo library, since this likely means the covariance data is out of date
+ covariance_data_time = os.path.getmtime(covariance_file)
+ library_file_path = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'libraries', f'{library_name}.py')
+ if not os.path.isfile(library_file_path):
+ # just warn the user instead of raising an error, since the covariance data may still be relevant even if the library file is not available
+ warnings.warn(f'Could not find the file for library {library_name} to compare modification times with the covariance library {cov_lib}. It may or may not be up to date.')
+ else:
+ library_file_time = os.path.getmtime(library_file_path)
+ if covariance_data_time < library_file_time:
+ warnings.warn(f'Thermo covariance library {cov_lib} is older than the thermo library {library_name}, which may mean the covariance data is out of date and not consistent with the current library data')
+
+ # Load covariance data and species
+ df = pd.read_csv(covariance_file)
+ cov_labels = df.columns.values
+ if any(cov_labels != library_entry_labels):
+ raise ValueError(f'Covariance library {cov_lib} contains labels {cov_labels} that are not in the associated thermo library {library_name}, which has labels {library_entry_labels}. The covariance data and thermo library data must be consistent with each other.')
+ cov_data = np.array(df) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2
+ cov_species_dict = load_species_dictionary(covariance_species)
+ cov_specs = [item for _, item in cov_species_dict.items()]
+
+ # quick check to make sure the covariance data and molecule data are consistent with each other
+ if cov_data.shape[0] != len(cov_specs):
+ raise ValueError(f'Covariance data and molecule data in library {cov_lib} are inconsistent: covariance data has shape {cov_data.shape} but molecule data has length {len(cov_specs)}')
+
+ # load the labels, but only include species in the model
+ subset_indices = [] # keep track of indices relevant to the model
+ for i_lib, lib_species in enumerate(cov_specs):
+ i_sp = get_i_thing(lib_species, self.species_list)
+ if i_sp < 0:
+ continue
+
+ # make sure the species actually comes from this library, otherwise skip
+ result = self.database.thermo.get_thermo_data_from_library(lib_species, library)
+ if result is not None:
+ surface_prefix = 'Surface_' if lib_species.contains_surface_site() else ''
+ # match the label as constructed in assign_intermediate_uncertainties,
+ # where the number corresponds to the index of the species in species_list
+ try:
+ label = f'{surface_prefix}Library {self.species_list[i_sp].to_chemkin()}'
+ except IndexError:
+ label = f'{surface_prefix}Library {self.extra_species[i_sp - len(self.species_list)].to_chemkin()}'
+ lib_species.label = label
+ subset_indices.append(i_lib)
+
+ # fill in the dictionary of covariances from the covariance libraries,
+ # with keys being sorted tuples of the labels of the correlated parameters
+ # and values being the covariance between those parameters
+ # only go through upper triangle of the covariance matrix, since the other half is just the transpose
+ tolerance = 1e-12 # consider anything with covariance less than this to be uncorrelated
+ for i, index_i in enumerate(subset_indices):
+ for j in range(i, len(subset_indices)):
+ index_j = subset_indices[j]
+ if abs(cov_data[index_i, index_j]) > tolerance:
+ label1 = cov_specs[index_i].label
+ label2 = cov_specs[index_j].label
+ covariance = cov_data[index_i, index_j]
+ self.thermo_covariances_dict[tuple(sorted([label1, label2]))] = covariance
+
+ def load_thermo_covariances_from_groups(self):
+ """
+ This function populates the self.thermo_covariances_dict with covariance data (in units of (kcal/mol)^2) from the given covariance group trees
+
+ For each group tree, it expects:
+ 1. a covariance.csv file containing the thermo covariance matrix,
+ 2. a groups.py file containing the group definitions for the covariance data, in the same order as covariance.npy, and
+ 3. (optional) a species_dictionary.txt file containing the species in an associated library containing the training data.
+ For example, the adsorptionPt111 correction tree uses the same species as surfaceThermoPt111, so it includes a species_dictionary.txt file to be able to get correlations with that library.
+
+ See the RMG-database/scripts/compile_BEEF_cov.ipynb Jupyter notebook for more details on how to generate these covariance libraries.
+
+ This function only adds covariance data for groups and species that are actually in the model, (or in the extra_species as in the case of the radical/HBI correction)
+ and only for the thermo source associated with that group/library. The goal is to keep the dictionary as small as possible because the lookups scale badly.
+
+ Note: the covariance.csv matrix is in units of (kJ/mol)^2, but gets converted to (kcal/mol)^2 in this function to match the rest of the analysis
+ """
+ from rmgpy.chemkin import load_species_dictionary
+ # assumes there might also be covariances associated with library entries
+
+ # associated library is hardcoded for now
+ associated_libraries = {
+ 'adsorptionPt111': 'surfaceThermoPt111',
+ }
+
+ if self.database is None:
+ raise RuntimeError('Must load database before loading covariance groups, since we need the database to find the associated libraries for the covariance groups')
+ if self.thermo_covariance_groups is not None:
+ self.compile_all_sources()
+ for cov_group_tree in self.thermo_covariance_groups:
+ associated_library = None
+ cov_group_tree_name = os.path.basename(cov_group_tree)
+ if cov_group_tree_name in self.database.thermo.groups:
+ grouptree = self.database.thermo.groups[cov_group_tree_name]
+ rmg_group_tree_file = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'groups', f'{cov_group_tree_name}.py')
+ else:
+ raise ValueError(f'Thermo covariance library {cov_group_tree_name} not found in the loaded database')
+ if cov_group_tree_name in associated_libraries:
+ library_name = associated_libraries[cov_group_tree_name]
+ if library_name in self.database.thermo.libraries:
+ associated_library = self.database.thermo.libraries[library_name]
+ else:
+ raise ValueError(f'Associated library {library_name} for covariance group {cov_group_tree_name} not found in the loaded database')
+
+ covariance_file = os.path.join(cov_group_tree, 'covariance.csv')
+ if not os.path.isfile(covariance_file):
+ raise ValueError(f'Thermo covariance file {covariance_file} not found in {cov_group_tree}')
+ group_database_file = os.path.join(cov_group_tree, 'groups.py')
+ covariance_molecules = None
+ if associated_library is not None:
+ covariance_molecules = os.path.join(cov_group_tree, 'species_dictionary.txt')
+ if not os.path.isfile(covariance_molecules):
+ raise ValueError(f'Thermo molecules file {covariance_molecules} not found in {cov_group_tree}')
+
+ # warn the user if the covariance group tree is older than the associated library, since this likely means the covariance data is out of date
+ covariance_data_time = os.path.getmtime(covariance_file)
+ rmg_group_file_time = os.path.getmtime(rmg_group_tree_file)
+ if covariance_data_time < rmg_group_file_time:
+ warnings.warn(f'Thermo covariance group tree {cov_group_tree} is older than the RMG group tree file {rmg_group_tree_file}, which may mean the covariance data is out of date and not consistent with the current group definitions in RMG')
+ if associated_library is not None:
+ library_file_path = os.path.join(rmgpy.settings['database.directory'], 'thermo', 'libraries', f'{associated_library.label}.py')
+ if not os.path.isfile(library_file_path):
+ # just warn the user instead of raising an error, since the covariance data may still be relevant even if the library file is not available
+ warnings.warn(f'Could not find the file for associated library {associated_library.label} to compare modification times with the covariance group tree {cov_group_tree}. It may or may not be up to date.')
+ else:
+ library_file_time = os.path.getmtime(library_file_path)
+ if covariance_data_time < library_file_time:
+ warnings.warn(f'Thermo covariance group tree {cov_group_tree} is older than the associated library {associated_library.label}, which may mean the covariance data is out of date and not consistent with the current library data')
+
+ # load data
+ df = pd.read_csv(covariance_file)
+ cov_data = np.array(df) / 4.184 / 4.184 # convert from (kJ/mol)^2 to (kcal/mol)^2
+ cov_data_labels = df.columns.values
+ group_database = rmgpy.data.thermo.ThermoGroups()
+ group_database.load(group_database_file)
+
+ # reconstruct the groups and molecules stored in the molecules.pickle file
+ cov_specs = []
+ if covariance_molecules is not None:
+ cov_species_dict = load_species_dictionary(covariance_molecules)
+ cov_specs = [item for _, item in cov_species_dict.items()]
+
+ group_items = [x.item for _, x in group_database.entries.items()]
+ group_labels = [x.label for _, x in group_database.entries.items()]
+ if any(cov_data_labels[:len(group_labels)] != group_labels):
+ raise ValueError(f'Covariance group tree {cov_group_tree} contains labels {cov_data_labels} that are not consistent with the group labels {group_labels} in the associated RMG group tree {cov_group_tree_name}. The covariance data and group definitions must be consistent with each other.')
+
+ n_groups = len(group_items)
+ n_mols = len(cov_specs)
+ if cov_data.shape[0] != n_groups + n_mols:
+ raise ValueError(f'Covariance data size {cov_data.shape[0]} does not match the number of groups and molecules {n_mols} + {n_groups} in covariance group tree {cov_group_tree}')
+
+
+ # add all groups in the model
+ tolerance = 1e-12 # consider anything with covariance less than this to be uncorrelated
+
+ # --------------------------------- add group-group correlations ---------------------------------
+ # only consider groups actually in the model to keep this a reasonable size
+ groups_in_model = []
+ if cov_group_tree_name == 'adsorptionPt111' and 'ADS' in self.all_thermo_sources and cov_group_tree_name in self.all_thermo_sources['ADS']:
+ groups_in_model = self.all_thermo_sources['ADS'][cov_group_tree_name]
+ elif cov_group_tree_name in self.all_thermo_sources['GAV']:
+ groups_in_model = self.all_thermo_sources['GAV'][cov_group_tree_name]
+
+ group_items_in_model = [x.item for x in groups_in_model]
+ group_labels_in_model = [x.label for x in groups_in_model] # order of these two not guaranteed
+
+ # get labels through isomorphism with the groups in the model, so it doesn't matter if names change, it matches structure
+ valid_group_indices = [i for i in range(n_groups) if get_i_thing(group_items[i], group_items_in_model) >= 0]
+ valid_group_labels = [group_labels_in_model[get_i_thing(group_items[i], group_items_in_model)] for i in valid_group_indices]
+
+ groupname_prefix = f'Group({cov_group_tree_name})'
+ if cov_group_tree_name == 'adsorptionPt111':
+ groupname_prefix = f'AdsorptionCorrection({cov_group_tree_name})'
+
+ # only iterate through groups in the model
+ # go through upper triangle of the covariance matrix, since the other half is just the transpose
+ for i, index_i in enumerate(valid_group_indices):
+ label_i = f'{groupname_prefix} {valid_group_labels[i]}'
+ for j in range(i, len(valid_group_indices)):
+ index_j = valid_group_indices[j]
+ label_j = f'{groupname_prefix} {valid_group_labels[j]}'
+ if abs(cov_data[index_i, index_j]) > tolerance:
+ covariance = cov_data[index_i, index_j]
+ self.thermo_covariances_dict[tuple(sorted([label_i, label_j]))] = covariance
+
+ # ---------------------------- add group-molecule correlations from associated library (if applicable) ----------------------------
+ if associated_library is not None:
+ # Figure out the associated library labels, but only include species in the model
+ subset_species_indices = [] # keep track of indices relevant to the model
+ for i_lib, lib_species in enumerate(cov_specs):
+ i_sp = get_i_thing(lib_species, self.species_list)
+ if i_sp < 0:
+ continue
+
+ # make sure the species actually comes from this library, otherwise skip
+ result = self.database.thermo.get_thermo_data_from_library(lib_species, associated_library)
+ if result is not None:
+ surface_prefix = 'Surface_' if lib_species.contains_surface_site() else ''
+ # match the label as constructed in assign_intermediate_uncertainties,
+ # where the number corresponds to the index of the species in species_list
+ try:
+ label = f'{surface_prefix}Library {self.species_list[i_sp].to_chemkin()}'
+ except IndexError:
+ label = f'{surface_prefix}Library {self.extra_species[i_sp - len(self.species_list)].to_chemkin()}'
+ lib_species.label = label
+ subset_species_indices.append(i_lib)
+
+ # fill in the dictionary of covariances from the covariance libraries
+ for i, index_i in enumerate(valid_group_indices):
+ label_i = f'{groupname_prefix} {valid_group_labels[i]}'
+ for j, index_j in enumerate(subset_species_indices):
+ label_j = cov_specs[index_j].label
+ if abs(cov_data[index_i, n_groups + index_j]) > tolerance:
+ covariance = cov_data[index_i, n_groups + index_j]
+ self.thermo_covariances_dict[tuple(sorted([label_i, label_j]))] = covariance
+
+
def extract_sources_from_model(self):
"""
Extract the source data from the model using its comments.
Must be done after loading model and database to work.
"""
self.species_sources_dict = {}
+ self.extra_species = []
+ allowed_source_keys = {'Library', 'QM', 'GAV', 'ADS'}
for species in self.species_list:
if species not in self.extra_species:
source = self.database.thermo.extract_source_from_comments(species)
+ unexpected_source_keys = set(source.keys()) - allowed_source_keys
+ if unexpected_source_keys:
+ raise ValueError(
+ f'Source of thermo must be either Library, QM, GAV, or ADS; '
+ f'got unexpected source keys {unexpected_source_keys} for species {species.label}'
+ )
# Now prep the source data
# Do not alter the GAV information, but reassign QM and Library sources to the species indices that they came from
+ # Also specify the source as a Surface Library (if it has surface sites and comes from a library), for better differentiation when assigning uncertainties
if len(source) == 1:
# The thermo came from a single source, so we know it comes from a value describing the exact species
if 'Library' in source:
# Use just the species index in self.species_list, for better shorter printouts when debugging
source['Library'] = self.species_list.index(species)
+ if species.contains_surface_site():
+ source['Surface_Library'] = source.pop('Library')
if 'QM' in source:
source['QM'] = self.species_list.index(species)
elif len(source) == 2:
- # The thermo has two sources, which indicates it's an HBI correction on top of a library or QM value.
- # We must retrieve the original saturated molecule's thermo instead of using the radical species as the source of thermo
- saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(species)
+ # The thermo has two sources, which indicates it's an HBI correction on top of a library or QM value...
+ # OR it is an adsorption correction with gas-phase thermo from Library/QM/GAV (no need to edit GAV source)
+ if 'ADS' in source:
+ # Need to retrieve the gas-phase molecule that the adsorption correction was applied to, and assign the source of the thermo to be that molecule instead of the surface species
+ if not species.contains_surface_site():
+ raise ValueError('Species uses adsorption correction but does not contain any surface sites')
+ dummy_gas_species = Species()
+ dummy_gas_species.molecule = species.molecule[0].get_desorbed_molecules()
+ # add to species list if it's not already there, so we can reference it in the source dictionary
+ for spc in self.species_list:
+ if spc.is_isomorphic(dummy_gas_species):
+ dummy_gas_species = spc
+ break
+ else:
+ dummy_gas_species.thermo = self.database.thermo.get_thermo_data(dummy_gas_species)
+ self.species_list.append(dummy_gas_species)
+ self.extra_species.append(dummy_gas_species)
+
+ if 'Library' in source:
+ # Use just the species index in self.species_list, for better shorter printouts when debugging
+ source['Library'] = self.species_list.index(dummy_gas_species)
+ if 'QM' in source:
+ source['QM'] = self.species_list.index(dummy_gas_species)
+ else:
+ # We must retrieve the original saturated molecule's thermo instead of using the radical species as the source of thermo
+ saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(species)
+
+ if ignore_spc: # this is saturated species that isn't in the actual model
+ self.extra_species.append(saturated_species)
+
+ if 'Library' in source:
+ source['Library'] = self.species_list.index(saturated_species)
+
+ if saturated_species.contains_surface_site():
+ source['Surface_Library'] = source.pop('Library') # surface species library + radical correction
+ if 'QM' in source:
+ source['QM'] = self.species_list.index(saturated_species)
+ elif len(source) == 3:
+ # combination of adsorption correction, GAV (radical), and Library/ML
+
+ if not species.contains_surface_site():
+ raise ValueError(
+ f'Only surface species should have 3 thermo sources (adsorption correction, GAV, and library/QM); '
+ f'got species={species.label}, source={source}'
+ )
+
+ # retrieve the desorbed version of the surface species-- the thing the adsorption correction was applied to during thermo estimation
+ dummy_gas_species = Species()
+ dummy_gas_species.molecule = species.molecule[0].get_desorbed_molecules()
+ saturated_species, ignore_spc = self.retrieve_saturated_species_from_list(dummy_gas_species)
if ignore_spc: # this is saturated species that isn't in the actual model
self.extra_species.append(saturated_species)
@@ -395,25 +876,26 @@ def extract_sources_from_model(self):
if 'QM' in source:
source['QM'] = self.species_list.index(saturated_species)
else:
- raise Exception('Source of thermo should not use more than two sources out of QM, Library, or GAV.')
+ raise Exception('Source of thermo should not use more than three sources out of ADS, QM, Library, or GAV.')
self.species_sources_dict[species] = source
self.reaction_sources_dict = {}
for reaction in self.reaction_list:
source = self.database.kinetics.extract_source_from_comments(reaction)
- # Prep the source data
+ # Prep the source data
# Consider any library or PDep reaction to be an independent parameter for now
# and assign the source to the index of the reaction within self.reaction_list
if 'Library' in source:
source['Library'] = self.reaction_list.index(reaction)
+ if reaction.is_surface_reaction():
+ source['Surface_Library'] = source.pop('Library')
elif 'PDep' in source:
source['PDep'] = self.reaction_list.index(reaction)
elif 'Training' in source:
# Do nothing here because training source already saves the entry from the training reaction
pass
elif 'Rate Rules' in source:
- # Do nothing
pass
else:
raise Exception('Source of kinetics must be either Library, PDep, Training, or Rate Rules')
@@ -422,13 +904,17 @@ def extract_sources_from_model(self):
for spc in self.extra_species:
self.species_list.remove(spc)
+ # -------------------- load covariance libraries ------------------------#
+ self.load_thermo_covariances_from_libraries()
+ self.load_thermo_covariances_from_groups()
+
def compile_all_sources(self):
"""
Compile two dictionaries composed of all the thermo and kinetic sources. Must
be performed after extract_sources_from_model function
"""
# Account for all the thermo sources
- all_thermo_sources = {'GAV': {}, 'Library': set(), 'QM': set()}
+ all_thermo_sources = {'GAV': {}, 'Library': set(), 'QM': set(), 'ADS': {}, 'Surface_Library': set()}
for source in self.species_sources_dict.values():
if 'GAV' in source:
for groupType in source['GAV'].keys():
@@ -441,6 +927,15 @@ def compile_all_sources(self):
all_thermo_sources['Library'].add(source['Library'])
if 'QM' in source:
all_thermo_sources['QM'].add(source['QM'])
+ if 'ADS' in source:
+ for ads_group in source['ADS'].keys():
+ ads_group_entries = [groupTuple[0] for groupTuple in source['ADS'][ads_group]]
+ if ads_group not in all_thermo_sources['ADS']:
+ all_thermo_sources['ADS'][ads_group] = set(ads_group_entries)
+ else:
+ all_thermo_sources['ADS'][ads_group].update(ads_group_entries)
+ if 'Surface_Library' in source:
+ all_thermo_sources['Surface_Library'].add(source['Surface_Library'])
# Convert to lists
self.all_thermo_sources = {}
@@ -449,9 +944,13 @@ def compile_all_sources(self):
self.all_thermo_sources['GAV'] = {}
for groupType in all_thermo_sources['GAV'].keys():
self.all_thermo_sources['GAV'][groupType] = list(all_thermo_sources['GAV'][groupType])
+ self.all_thermo_sources['ADS'] = {}
+ for ads_group in all_thermo_sources['ADS'].keys():
+ self.all_thermo_sources['ADS'][ads_group] = list(all_thermo_sources['ADS'][ads_group])
+ self.all_thermo_sources['Surface_Library'] = list(all_thermo_sources['Surface_Library'])
# Account for all the kinetics sources
- all_kinetic_sources = {'Rate Rules': {}, 'Training': {}, 'Library': [], 'PDep': []}
+ all_kinetic_sources = {'Rate Rules': {}, 'Training': {}, 'Library': [], 'PDep': [], 'Surface_Library': []}
for source in self.reaction_sources_dict.values():
if 'Training' in source:
family_label = source['Training'][0]
@@ -462,6 +961,8 @@ def compile_all_sources(self):
all_kinetic_sources['Training'][family_label].add(training_entry)
elif 'Library' in source:
all_kinetic_sources['Library'].append(source['Library'])
+ elif 'Surface_Library' in source:
+ all_kinetic_sources['Surface_Library'].append(source['Surface_Library'])
elif 'PDep' in source:
all_kinetic_sources['PDep'].append(source['PDep'])
elif 'Rate Rules' in source:
@@ -486,6 +987,7 @@ def compile_all_sources(self):
self.all_kinetic_sources = {}
self.all_kinetic_sources['Library'] = all_kinetic_sources['Library']
+ self.all_kinetic_sources['Surface_Library'] = all_kinetic_sources['Surface_Library']
self.all_kinetic_sources['PDep'] = all_kinetic_sources['PDep']
# Convert to lists
self.all_kinetic_sources['Rate Rules'] = {}
@@ -501,7 +1003,7 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
Assign uncertainties based on the sources of the species thermo and reaction kinetics.
"""
if g_param_engine is None:
- g_param_engine = ThermoParameterUncertainty()
+ g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict)
if k_param_engine is None:
k_param_engine = KineticParameterUncertainty()
@@ -510,7 +1012,17 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
for species in self.species_list:
if not correlated:
- dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species])
+ entry = self.species_sources_dict[species]
+ if 'Surface_Library' in entry: # preconditioning for covariance
+ # this is an ugly workaround to handle covariances: because get_uncertainty_value needs the species chemkin string to get the covariance
+ # but the source dictionary only has the index of the surface library entry
+ entry_copy = entry.copy()
+ entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin()
+ dG = g_param_engine.get_uncertainty_value(entry_copy)
+ if species.is_surface_site():
+ dG = 0 # surface species is our zero reference by definition, so it should have no uncertainty
+ else:
+ dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species])
self.thermo_input_uncertainties.append(dG)
else:
source = self.species_sources_dict[species]
@@ -522,10 +1034,23 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
except IndexError:
label = 'Library {}'.format(self.extra_species[source['Library'] - len(self.species_list)].to_chemkin())
dG[label] = pdG
+ if 'Surface_Library' in source:
+ pdG = g_param_engine.get_partial_uncertainty_value(source, 'Surface_Library', corr_param=source['Surface_Library'])
+ try:
+ label = 'Surface_Library {}'.format(self.species_list[source['Surface_Library']].to_chemkin())
+ except IndexError:
+ label = 'Surface_Library {}'.format(self.extra_species[source['Surface_Library'] - len(self.species_list)].to_chemkin())
+ dG[label] = pdG
if 'QM' in source:
pdG = g_param_engine.get_partial_uncertainty_value(source, 'QM', corr_param=source['QM'])
label = 'QM {}'.format(self.species_list[source['QM']].to_chemkin())
dG[label] = pdG
+ if 'ADS' in source:
+ for adsGroupType, groupList in source['ADS'].items():
+ for group, weight in groupList:
+ pdG = g_param_engine.get_partial_uncertainty_value(source, 'ADS', group, adsGroupType)
+ label = 'AdsorptionCorrection({}) {}'.format(adsGroupType, group.label)
+ dG[label] = pdG
if 'GAV' in source:
for groupType, groupList in source['GAV'].items():
for group, weight in groupList:
@@ -551,23 +1076,32 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
source_dict = source['Rate Rules'][1]
rules = source_dict['rules']
training = source_dict['training']
+ surface_prefix = ''
+ if reaction.is_surface_reaction():
+ surface_prefix = 'Surface '
+
for ruleEntry, weight in rules:
dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Rate Rules', corr_param=ruleEntry,
corr_family=family)
- label = '{} {}'.format(family, ruleEntry)
+ label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry)
dlnk[label] = dplnk
for ruleEntry, trainingEntry, weight in training:
dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Rate Rules', corr_param=ruleEntry,
corr_family=family)
- label = '{} {}'.format(family, ruleEntry)
+ label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry)
dlnk[label] = dplnk
- # There is also estimation error if rate rules are used
- est_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation')
- if est_dplnk:
- label = 'Estimation {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
- dlnk[label] = est_dplnk
+ # There is also estimation error if rate rules are used (nonexact and family contribute to this)
+ nonexact_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation Nonexact', corr_family=family)
+ if nonexact_dplnk:
+ label = 'Estimation Nonexact {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnk[label] = nonexact_dplnk
+
+ family_dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Estimation Family', corr_family=family)
+ if family_dplnk:
+ label = 'Estimation Family {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnk[label] = family_dplnk
elif 'PDep' in source:
dplnk = k_param_engine.get_partial_uncertainty_value(source, 'PDep', source['PDep'])
@@ -579,6 +1113,11 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
label = 'Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
dlnk[label] = dplnk
+ elif 'Surface_Library' in source:
+ dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Surface_Library', source['Surface_Library'])
+ label = 'Surface_Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnk[label] = dplnk
+
elif 'Training' in source:
dplnk = k_param_engine.get_partial_uncertainty_value(source, 'Training', source['Training'])
family = source['Training'][0]
@@ -587,17 +1126,156 @@ def assign_parameter_uncertainties(self, g_param_engine=None, k_param_engine=Non
self.kinetic_input_uncertainties.append(dlnk)
+ def assign_intermediate_uncertainties(self, g_param_engine=None, k_param_engine=None, correlated=False):
+ """
+ Assign uncertainties to the intermediate parameters based on the sources of the species thermo and reaction kinetics.
+
+ This fills out the class variables thermo_intermediate_uncertainties and kinetic_intermediate_uncertainties
+ these are each list of dictionaries. For every species or reaction, it lists all the intermediate sources contributing to that parameter's uncertainty.
+
+ So for example, thermo_intermediate_uncertainties might look something like this:
+
+ thermo_intermediate_uncertainties = [
+ {'Group(group) Cds-CdsHH': 2.0, 'Group(radical) CCJ': 1.0, 'Estimation CH(4)': 1.0},
+ {'Library CH2(5)': 1.0},
+ ]
+ The keys of the dictionaries are the label names for the intermediate parameters.
+ and the values are partial derivatives dG_i/dq_w, how the species i Gibbs uncertainty changes with the intermediate parameter w.
+
+ This function is the new formulation's equivalent to assign_parameter_uncertainties and similarly handles both correlated and uncorrelated cases.
+ But instead of assuming all underlying parameters are independent, here we can allow for dependence as long as we have the covariance
+ """
+ if g_param_engine is None:
+ g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict)
+ if k_param_engine is None:
+ k_param_engine = KineticParameterUncertainty()
+
+ self.thermo_intermediate_uncertainties = [] # store the intermediate dG_i/dq for each parameter q that contributes to the uncertainty of G_i, for use in correlated uncertainty analysis
+ self.kinetic_intermediate_uncertainties = []
+
+ for species in self.species_list:
+ if not correlated:
+ entry = self.species_sources_dict[species]
+ if 'Surface_Library' in entry: # preconditioning for covariance
+ # this is an ugly workaround to handle covariances: because get_uncertainty_value needs the species chemkin string to get the covariance
+ # but the source dictionary only has the index of the surface library entry
+ entry_copy = entry.copy()
+ entry_copy['Surface_Library'] = self.species_list[entry_copy['Surface_Library']].to_chemkin()
+ dG = g_param_engine.get_uncertainty_value(entry_copy)
+ if species.is_surface_site():
+ dG = 0 # surface species is our zero reference by definition, so it should have no uncertainty
+ else:
+ dG = g_param_engine.get_uncertainty_value(self.species_sources_dict[species])
+ self.thermo_intermediate_uncertainties.append(dG) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty
+ else:
+ source = self.species_sources_dict[species]
+ dGdq = {}
+ if 'Library' in source:
+ try:
+ label = 'Library {}'.format(self.species_list[source['Library']].to_chemkin())
+ except IndexError:
+ label = 'Library {}'.format(self.extra_species[source['Library'] - len(self.species_list)].to_chemkin())
+ dGdq[label] = 1 # dG/dG_lib = 1, because the parameter is never scaled by anything other than 1 when it is used
+ if 'Surface_Library' in source:
+ try:
+ label = 'Surface_Library {}'.format(self.species_list[source['Surface_Library']].to_chemkin())
+ except IndexError:
+ label = 'Surface_Library {}'.format(self.extra_species[source['Surface_Library'] - len(self.species_list)].to_chemkin())
+ dGdq[label] = 1 # dG/dG_surf = 1, because the parameter is never scaled by anything other than 1 when it is used
+ if species.is_surface_site():
+ dGdq[label] = 0 # surface species is our zero reference by definition, so it should have no uncertainty
+ if 'QM' in source:
+ label = 'QM {}'.format(self.species_list[source['QM']].to_chemkin())
+ dGdq[label] = 1
+ if 'ADS' in source:
+ for adsGroupType, groupList in source['ADS'].items():
+ for group, weight in groupList:
+ label = 'AdsorptionCorrection({}) {}'.format(adsGroupType, group.label)
+ if weight != 1:
+ raise ValueError('Weight for adsorption group contribution to thermo should be 1, but got weight={weight} for {adsGroupType} in species {species}'.format(weight=weight, adsGroupType=adsGroupType, species=species))
+ dGdq[label] = weight # This should be 1
+ if 'GAV' in source:
+ for groupType, groupList in source['GAV'].items():
+ for group, weight in groupList:
+ label = 'Group({}) {}'.format(groupType, group.label)
+ dGdq[label] = weight # dG/dG_group = weight, because the group contribution is scaled by the weight when it is used in the thermo estimation
+ # We also know if there is group additivity used, there will be uncorrelated estimation error
+ label = 'Estimation {}'.format(species.to_chemkin())
+ dGdq[label] = 1 # dG/dG_est = 1, because the estimation error is added on top of the group additivity value, so it is never scaled by anything other than 1 when it is used
+
+ self.thermo_intermediate_uncertainties.append(dGdq)
+
+ for reaction in self.reaction_list:
+ if not correlated:
+ dlnk = k_param_engine.get_uncertainty_value(self.reaction_sources_dict[reaction])
+ self.kinetic_intermediate_uncertainties.append(dlnk) # in the uncorrelated case, the intermediate is just the uncertainty value itself, since there is only one parameter that contributes to the uncertainty
+ else:
+ source = self.reaction_sources_dict[reaction]
+ dlnkdq = {}
+ if 'Rate Rules' in source:
+ family = source['Rate Rules'][0]
+ source_dict = source['Rate Rules'][1]
+ rules = source_dict['rules']
+ training = source_dict['training']
+ exact = source_dict['exact']
+ surface_prefix = ''
+ if reaction.is_surface_reaction():
+ surface_prefix = 'Surface '
+ for ruleEntry, weight in rules:
+ label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry)
+ dlnkdq[label] = weight # dlnk/dlnk_rule = weight, because the rate rule is scaled by the weight when it is used in the kinetics estimation
+
+ for ruleEntry, trainingEntry, weight in training:
+ # TODO - test that training reactions in a tree are correlated with the exact match kind of training reaction
+ # for now, we follow the old convention of treating these as rate rules
+ label = '{}Rate Rule {} {}'.format(surface_prefix, family, ruleEntry) # ruleEntry should probably be the reaction equation itself
+ dlnkdq[label] = weight # dlnk/dlnk_training = weight, because the training entry is scaled by the weight when it is used in the kinetics estimation
+
+ # There is also estimation error if rate rules are used
+ # Record dlnk/dlnk_family, the derivative with respect to the family estimation uncertainty
+ label = 'Estimation Family {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = 1 # dlnk/dlnk_family = 1, because the family estimation uncertainty is added on top of the rate rule values, so it is never scaled by anything other than 1 when it is used
+
+ # Record the non-exact estimation error if not an exact match for a rate rule
+ if not exact:
+ N = len(source_dict['rules']) + len(source_dict['training'])
+ label = 'Estimation Nonexact {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = np.log10(N + 1)
+
+ elif 'PDep' in source:
+ label = 'PDep {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = 1.0 # dlnk/dlnk_PDep = 1, because the PDep kinetics is never scaled by anything other than 1 when it is used
+
+ elif 'Library' in source:
+ label = 'Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = 1.0 # dlnk/dlnk_lib = 1, because the library kinetics is never scaled by anything other than 1 when it is used
+
+ elif 'Surface_Library' in source:
+ label = 'Surface_Library {}'.format(reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = 1.0 # dlnk/dlnk_surf_lib = 1, because the surface library kinetics is never scaled by anything other than 1 when it is used
+
+ elif 'Training' in source:
+ family = source['Training'][0]
+ surface_prefix = ''
+ if reaction.is_surface_reaction():
+ surface_prefix = 'Surface '
+ label = '{}Training {} {}'.format(surface_prefix, family, reaction.to_chemkin(self.species_list, kinetics=False))
+ dlnkdq[label] = 1.0
+
+ self.kinetic_intermediate_uncertainties.append(dlnkdq)
+
def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P, termination_time,
- sensitivity_threshold=1e-3, number=10, fileformat='.png'):
+ sensitivity_threshold=1e-3, number=10, fileformat='.png', initial_surface_coverages=None,
+ surface_volume_ratio=None, surface_site_density=2.72e-5):
"""
Run sensitivity analysis using the RMG solver in a single ReactionSystem object
-
+
initial_mole_fractions is a dictionary with Species objects as keys and mole fraction initial conditions
sensitive_species is a list of sensitive Species objects
number is the number of top species thermo or reaction kinetics desired to be plotted
"""
- from rmgpy.solver import SimpleReactor, TerminationTime
+ from rmgpy.solver import SimpleReactor, SurfaceReactor, TerminationTime
from rmgpy.quantity import Quantity
from rmgpy.rmg.listener import SimulationProfileWriter, SimulationProfilePlotter
from rmgpy.rmg.settings import ModelSettings, SimulatorSettings
@@ -605,12 +1283,29 @@ def sensitivity_analysis(self, initial_mole_fractions, sensitive_species, T, P,
P = Quantity(P)
termination = [TerminationTime(Quantity(termination_time))]
- reaction_system = SimpleReactor(T=T,
- P=P,
- initial_mole_fractions=initial_mole_fractions,
- termination=termination,
- sensitive_species=sensitive_species,
- sensitivity_threshold=sensitivity_threshold)
+ surface_mech = any([x.contains_surface_site() for x in self.species_list])
+ if surface_mech:
+ assert surface_volume_ratio is not None, 'Must provide surface_volume_ratio for sensitivity analysis of surface mechanisms'
+ surface_volume_ratio = Quantity(surface_volume_ratio)
+
+ if not surface_mech:
+ reaction_system = SimpleReactor(T=T,
+ P=P,
+ initial_mole_fractions=initial_mole_fractions,
+ termination=termination,
+ sensitive_species=sensitive_species,
+ sensitivity_threshold=sensitivity_threshold)
+ else:
+ reaction_system = SurfaceReactor(T=T,
+ P_initial=P,
+ initial_gas_mole_fractions=initial_mole_fractions,
+ initial_surface_coverages=initial_surface_coverages,
+ surface_volume_ratio=surface_volume_ratio,
+ surface_site_density=surface_site_density,
+ n_sims=1,
+ termination=termination,
+ sensitive_species=sensitive_species,
+ sensitivity_threshold=sensitivity_threshold)
# Create the csv worksheets for logging sensitivity
util.make_output_subdirectory(self.output_directory, 'solver')
@@ -660,7 +1355,7 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated=
output = {}
for sens_species in sensitive_species:
csvfile_path = os.path.join(self.output_directory, 'solver',
- 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index+1,
+ 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index + 1,
sens_species.index))
time, data_list = parse_csv_data(csvfile_path)
# Assign uncertainties
@@ -717,7 +1412,7 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated=
# Add the reaction index to the data label of the reaction uncertainties
# data.index stores the physical index of the reaction + 1, so we convert it to the RMG index here
for data in reaction_data_list:
- data.label = 'k' + str(self.reaction_list[data.index-1].index) + ': ' + data.label.split()[-1]
+ data.label = 'k' + str(self.reaction_list[data.index - 1].index) + ': ' + data.label.split()[-1]
if correlated:
folder = os.path.join(self.output_directory, 'correlated')
@@ -738,6 +1433,316 @@ def local_analysis(self, sensitive_species, reaction_system_index=0, correlated=
return output
+ def local_analysis_intermediate(self, sensitive_species, reaction_system_index=0, correlated=False, number=10,
+ fileformat='.png', t=None):
+ """
+ local uncertainty analysis using new formulation where parameters might not be fully independent
+
+ sensitive_species is a list of sensitive Species objects
+ number is the number of highest contributing uncertain parameters desired to be plotted
+ fileformat can be either .png, .pdf, or .svg
+
+ t is the time in seconds at which to perform the analysis.
+ The default (None) uses the final timestep in the sensitivity analysis
+
+ returns a dictionary of tuples for every sensitive species with:
+ - the total variance in concentration of that species
+ - the kinetic contributions to variance of that species's concentration
+ - the thermo contributions to variance of that species's concentration
+ """
+
+ output = {}
+ for sens_species in sensitive_species:
+ # 1. ------------------------- Get sensitivities --------------------------
+ csvfile_path = os.path.join(self.output_directory, 'solver',
+ 'sensitivity_{0}_SPC_{1}.csv'.format(reaction_system_index + 1,
+ sens_species.index))
+ time, data_list = parse_csv_data(csvfile_path)
+
+ if t is None:
+ t_index = -1
+ else:
+ t_index = int(np.argmin(np.abs(time.data - t)))
+
+ # get the sensitivities and compile a list of the species and reaction indices actually used
+ # record sensitivities for all time, so sensitivity array is #time steps x #species
+ species_sensitivity_full_array = np.zeros(len(self.species_list))
+ reaction_sensitivity_full_array = np.zeros(len(self.reaction_list))
+
+ # keeping track of which species/reactions are sensitive gives us a speedup in computing covariance matrices later on
+ species_used = []
+ reactions_used = []
+ for data in data_list:
+ if data.species:
+ for species in self.species_list:
+ if species.to_chemkin() == data.species:
+ index = self.species_list.index(species)
+ break
+ else:
+ raise ValueError(f'Chemkin name {data.species} of species in the CSV file does not match anything in the species list.')
+ species_sensitivity_full_array[index] = data.data[t_index]
+ species_used.append(index)
+
+ if data.reaction:
+ rxn_index = int(data.index) - 1
+ reaction_sensitivity_full_array[rxn_index] = data.data[t_index]
+ reactions_used.append(rxn_index)
+ species_used = sorted(species_used)
+ reactions_used = sorted(reactions_used)
+
+ # shorten the sensitivity vectors to only the nonzero elements
+ species_sensitivity = np.array([species_sensitivity_full_array[i] for i in species_used])
+ reaction_sensitivity = np.array([reaction_sensitivity_full_array[i] for i in reactions_used])
+
+ # 2. ------------------------- Compute intermediate covariance --------------------------
+ # Now get the covariance matrix of the intermediate parameters (if uncorrelated, these are just covariance(G_i, G_j) or covariance(lnk_i, lnk_j)
+ Sigma_qq_thermo = self._get_intermediate_thermo_covariance_matrix(subset_indices=species_used)
+ Sigma_qq_kinetics = self._get_intermediate_kinetics_covariance_matrix(subset_indices=reactions_used)
+
+ # 3. ------------------------- Compute partial derivatives dG/dq or dlnk/dq --------------------------
+ # get the parital derivative of G or lnk with respect to intermediates (if uncorrelated, these are identity matrices)
+ dG_dq = self._get_dG_dq_matrix(subset_indices=species_used)
+ dlnkdq = self._get_dlnk_dq_matrix(subset_indices=reactions_used)
+ N_q_thermo = dG_dq.shape[1] # the number of thermo contributions
+ N_q_kinetics = dlnkdq.shape[1] # the number of kinetics contributions
+
+ # 4. ------------------------- Multiply all matrices together to get total variance --------------------------
+ # total variance =
+ # species_sensitivity * dG_dq * Sigma_qq_thermo * dG_dq' * species_sensitivity' +
+ # reaction_sensitivity * dlnk_dq * Sigma_qq_kinetics * dlnk_dq' * reaction_sensitivity' +
+
+ # we split this into:
+ # species_sensitivity' * dG_dq' and Sigma_qq_thermo * dG_dq * species_sensitivity
+ # because this gives us the contributions of each intermediate parameter
+ thermo_contributions = np.multiply(np.dot(species_sensitivity, dG_dq), np.dot(Sigma_qq_thermo, np.dot(dG_dq.T, species_sensitivity.T)).T)
+ kinetic_contributions = np.multiply(np.dot(reaction_sensitivity, dlnkdq), np.dot(Sigma_qq_kinetics, np.dot(dlnkdq.T, reaction_sensitivity.T)).T)
+
+ for i in range(len(thermo_contributions)):
+ if thermo_contributions[i] < 0:
+ # print(f'Warning: negative contribution to variance from {self.all_thermo_intermediates[i]} of {thermo_contributions[i]}. Setting contribution to 0 for plotting purposes.')
+ thermo_contributions[i] = 0
+
+ total_variance = np.sum(thermo_contributions) + np.sum(kinetic_contributions)
+
+ # 5. ------------------------- Make plots --------------------------
+ # define labels if they're not already listed in all_thermo/kinetics_intermediates
+ if self.all_thermo_intermediates is None or len(self.all_thermo_intermediates) != N_q_thermo:
+ self.all_thermo_intermediates = [f'dln[{sens_species.to_chemkin()}]/dG[{self.species_list[sp_idx].to_chemkin()}]' for sp_idx in species_used]
+ if self.all_kinetics_intermediates is None or len(self.all_kinetics_intermediates) != N_q_kinetics:
+ self.all_kinetics_intermediates = ['k' + str(self.reaction_list[rxn_idx].index) + ': ' + self.reaction_list[rxn_idx].to_chemkin(kinetics=False) for rxn_idx in reactions_used]
+
+ # append all data points
+ thermo_plotting_data = []
+ kinetics_plotting_data = []
+ for i in range(N_q_thermo):
+ label = self.all_thermo_intermediates[i]
+ thermo_plotting_data.append(GenericData(data=[np.sqrt(thermo_contributions[i])], uncertainty=1.0, label=label, species='dummy'))
+ for i in range(N_q_kinetics):
+ label = self.all_kinetics_intermediates[i]
+ kinetics_plotting_data.append(GenericData(data=[np.sqrt(kinetic_contributions[i])], uncertainty=1.0, label=label, reaction='dummy'))
+
+ # set up the folders and filenames for plotting
+ folder = os.path.join(self.output_directory, 'uncorrelated')
+ if correlated:
+ folder = os.path.join(self.output_directory, 'correlated')
+ os.makedirs(folder, exist_ok=True)
+
+ r_path = os.path.join(folder, f'kineticsLocalUncertainty_{sens_species.to_chemkin()}{fileformat}')
+ t_path = os.path.join(folder, f'thermoLocalUncertainty_{sens_species.to_chemkin()}{fileformat}')
+ reaction_uncertainty = ReactionSensitivityPlot(x_var=time, y_var=kinetics_plotting_data, num_reactions=number).uncertainty_plot(total_variance, filename=r_path)
+ thermo_uncertainty = ThermoSensitivityPlot(x_var=time, y_var=thermo_plotting_data, num_species=number).uncertainty_plot(total_variance, filename=t_path)
+
+ output[sens_species] = (total_variance, reaction_uncertainty, thermo_uncertainty)
+
+ return output
+
+ def get_thermo_covariance_matrix(self, g_param_engine=None):
+ """
+ Return the thermo covariance matrix as a numpy array.
+ NxN square matrix where N is the number of species in the model,
+ with the covariance between species i and j in the ith row and jth column.
+ Units are in (kcal/mol)^2.
+ Must call assign_intermediate_uncertainties first to populate the source dictionaries.
+
+ TODO speed this up with sparse matrix multiplication?
+ """
+ assert self.thermo_intermediate_uncertainties is not None, 'Must call assign_intermediate_uncertainties first'
+ assert len(self.thermo_intermediate_uncertainties) > 0, 'No thermodynamic parameters found'
+ if isinstance(self.thermo_intermediate_uncertainties[0], np.float64):
+ self.thermo_covariance_matrix = np.float_power(np.diag(self.thermo_intermediate_uncertainties), 2.0)
+ return self.thermo_covariance_matrix
+
+ self.thermo_covariance_matrix = np.zeros((len(self.species_list), len(self.species_list)))
+
+ if g_param_engine is None:
+ g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict)
+
+ for i in range(len(self.species_list)):
+ for j in range((len(self.species_list))):
+ for q in self.thermo_intermediate_uncertainties[i].keys():
+ dG_i_dq = self.thermo_intermediate_uncertainties[i][q]
+ for r in self.thermo_intermediate_uncertainties[j].keys():
+ dG_j_dr = self.thermo_intermediate_uncertainties[j][r]
+ self.thermo_covariance_matrix[i, j] += dG_i_dq * g_param_engine._get_covariance_qq(q, r) * dG_j_dr
+
+ return self.thermo_covariance_matrix
+
+ def get_kinetic_covariance_matrix(self, k_param_engine=None):
+ """
+ Return the kinetic covariance matrix as a numpy array.
+ MxM square matrix where M is the number of reactions in the model,
+ with the covariance between reaction i and j in the ith row and jth column.
+ Units are in (ln(k))^2.
+ Must call assign_intermediate_uncertainties first to populate the source dictionaries.
+
+ TODO speed this up with sparse matrix multiplication?
+ """
+ assert self.kinetic_intermediate_uncertainties is not None, 'Must call assign_intermediate_uncertainties first'
+ assert len(self.kinetic_intermediate_uncertainties) > 0, 'No kinetic parameters found'
+ if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64):
+ self.kinetic_covariance_matrix = np.float_power(np.diag(self.kinetic_intermediate_uncertainties), 2.0)
+ return self.kinetic_covariance_matrix
+
+ if k_param_engine is None:
+ k_param_engine = KineticParameterUncertainty()
+
+ self.kinetic_covariance_matrix = np.zeros((len(self.reaction_list), len(self.reaction_list)))
+
+ for i in range(len(self.reaction_list)):
+ for j in range(len(self.reaction_list)):
+ for q in self.kinetic_intermediate_uncertainties[i].keys():
+ dlnk_i_dq = self.kinetic_intermediate_uncertainties[i][q]
+ for r in self.kinetic_intermediate_uncertainties[j].keys():
+ dlnk_j_dr = self.kinetic_intermediate_uncertainties[j][r]
+ self.kinetic_covariance_matrix[i, j] += dlnk_i_dq * k_param_engine._get_covariance_qq(q, r) * dlnk_j_dr
+
+ return self.kinetic_covariance_matrix
+
+ def _get_intermediate_thermo_covariance_matrix(self, g_param_engine=None, subset_indices=None):
+ """
+ Make an explicit covariance matrix of all the qs (intermediate thermo parameters, like specific groups or library entries)
+
+ Requires calling assign_intermediate_uncertainties first
+
+ if subset_indices is None, computes the full matrix.
+ Otherwise, only computes the matrices relevant to the species indicated by subset_indices
+ """
+ if subset_indices is None:
+ subset_indices = np.arange(len(self.species_list))
+
+ if isinstance(self.thermo_intermediate_uncertainties[0], np.float64):
+ self.Sigma_ww_thermo = np.diag(np.float_power([self.thermo_intermediate_uncertainties[i] for i in subset_indices], 2.0))
+ return self.Sigma_ww_thermo
+
+ if g_param_engine is None:
+ g_param_engine = ThermoParameterUncertainty(other_covariances=self.thermo_covariances_dict)
+
+ self.all_thermo_intermediates = set()
+ for sp_idx in subset_indices:
+ for q in self.thermo_intermediate_uncertainties[sp_idx].keys():
+ self.all_thermo_intermediates.add(q)
+ self.all_thermo_intermediates = list(self.all_thermo_intermediates)
+ W = len(self.all_thermo_intermediates)
+
+ self.Sigma_ww_thermo = np.zeros((W, W))
+ for i in range(W):
+ q_i = self.all_thermo_intermediates[i]
+ for j in range(i + 1):
+ q_j = self.all_thermo_intermediates[j]
+ self.Sigma_ww_thermo[i, j] = g_param_engine._get_covariance_qq(q_i, q_j)
+ self.Sigma_ww_thermo[j, i] = self.Sigma_ww_thermo[i, j] # symmetric matrix
+ return self.Sigma_ww_thermo
+
+ def _get_intermediate_kinetics_covariance_matrix(self, k_param_engine=None, subset_indices=None):
+ """
+ Make an explicit covariance matrix of all the qs (intermediate kinetic parameters, like specific rate rules or libraries entries)
+
+ Requires calling assign_intermediate_uncertainties first
+
+ if subset_indices is None, computes the full matrix.
+ Otherwise, only computes the matrices relevant to the reactions indicated by subset_indices
+ """
+ if subset_indices is None:
+ subset_indices = np.arange(len(self.reaction_list))
+
+ if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64):
+ # TODO this might have to be squared
+ self.Sigma_ww_kinetics = np.diag(np.float_power([self.kinetic_intermediate_uncertainties[i] for i in subset_indices], 2.0))
+ return self.Sigma_ww_kinetics
+
+ if k_param_engine is None:
+ k_param_engine = KineticParameterUncertainty()
+
+ self.all_kinetics_intermediates = set()
+ for rxn_idx in subset_indices:
+ for q in self.kinetic_intermediate_uncertainties[rxn_idx].keys():
+ self.all_kinetics_intermediates.add(q)
+ self.all_kinetics_intermediates = list(self.all_kinetics_intermediates)
+ W = len(self.all_kinetics_intermediates)
+
+ self.Sigma_ww_kinetics = np.zeros((W, W))
+ for i in range(W):
+ q_i = self.all_kinetics_intermediates[i]
+ for j in range(i + 1):
+ q_j = self.all_kinetics_intermediates[j]
+ self.Sigma_ww_kinetics[i, j] = k_param_engine._get_covariance_qq(q_i, q_j)
+ self.Sigma_ww_kinetics[j, i] = self.Sigma_ww_kinetics[i, j] # symmetric matrix
+ return self.Sigma_ww_kinetics
+
+ def _get_dG_dq_matrix(self, subset_indices=None):
+ """
+ Returns an nxW matrix of partial derivatives where
+ n is number of species (or subset species) and W is number of relevant intermediate paramaters
+
+ subset_indices is the set of species indices that matter
+ if subset_indices is None, it computes the full matrix
+ use at your own risk!
+
+ assumes that get_intermediate_thermo_covariance_matrix was called with matching subset_indices
+ if not, then matrix dimensions will probably not match up for later multiplication,
+ which will signal the user that there's a problem
+ """
+ if subset_indices is None:
+ subset_indices = np.arange(len(self.species_list))
+
+ # return a square identity matrix if uncorrelated
+ if isinstance(self.thermo_intermediate_uncertainties[0], np.float64):
+ return np.eye(len(subset_indices))
+
+ dGdq = np.zeros((len(subset_indices), len(self.all_thermo_intermediates)))
+
+ for i, sp_idx in enumerate(subset_indices):
+ for key in self.thermo_intermediate_uncertainties[sp_idx].keys():
+ q_index = self.all_thermo_intermediates.index(key)
+ dGdq[i, q_index] = self.thermo_intermediate_uncertainties[sp_idx][key]
+
+ return dGdq
+
+ def _get_dlnk_dq_matrix(self, subset_indices=None):
+ """
+ Returns an mxW matrix of partial derivatives where
+ m is number of reactions and W is number of intermediate paramaters
+
+ assumes that get_intermediate_kinetic_covariance_matrix was called with matching subset_indices
+ if not, then matrix dimensions will probably not match up for later multiplication,
+ which will signal the user that there's a problem
+ """
+ if subset_indices is None:
+ subset_indices = np.arange(len(self.reaction_list))
+
+ # return a square identity matrix if uncorrelated
+ if isinstance(self.kinetic_intermediate_uncertainties[0], np.float64):
+ return np.eye(len(subset_indices))
+
+ dlnkdq = np.zeros((len(subset_indices), len(self.all_kinetics_intermediates)))
+
+ for i, rxn_idx in enumerate(subset_indices):
+ for key in self.kinetic_intermediate_uncertainties[rxn_idx].keys():
+ q_index = self.all_kinetics_intermediates.index(key)
+ dlnkdq[i, q_index] = self.kinetic_intermediate_uncertainties[rxn_idx][key]
+
+ return dlnkdq
+
def process_local_results(results, sensitive_species, number=10):
"""
@@ -777,3 +1782,11 @@ def process_local_results(results, sensitive_species, number=10):
output += '================================================================================\n\n'
return processed_results, output
+
+def get_i_thing(thing, thing_list):
+ # get index of a species/molecule/group/reaction in a list of those things,
+ # where the thing might not be exactly the same object as the one in the list but is isomorphic to it
+ for i in range(len(thing_list)):
+ if thing.is_isomorphic(thing_list[i]):
+ return i
+ return -1
diff --git a/rmgpy/transport.py b/rmgpy/transport.py
index 6c97b81a1b3..4598b18a9b7 100644
--- a/rmgpy/transport.py
+++ b/rmgpy/transport.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/rmgpy/util.py b/rmgpy/util.py
index 15769e02e61..3849797738f 100644
--- a/rmgpy/util.py
+++ b/rmgpy/util.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -30,6 +30,7 @@
import argparse
import logging
import os.path
+import re
import shutil
import time
from functools import wraps
@@ -113,6 +114,95 @@ def notify(self, modifier=None):
observer.update(self)
+def _strip_wrapped_flow_yaml_notes(text):
+ """Strip wrapped flow-style YAML notes without a nested regex."""
+ lines = text.splitlines(keepends=True)
+ stripped_lines = []
+ i = 0
+ while i < len(lines):
+ line = lines[i]
+ if (
+ stripped_lines
+ and stripped_lines[-1].rstrip().endswith(",")
+ and line.lstrip(" \t").startswith("note:")
+ ):
+ end_index = i
+ while end_index < len(lines):
+ if "}" in lines[end_index]:
+ comma_index = stripped_lines[-1].rfind(",")
+ brace_index = lines[end_index].find("}")
+ stripped_lines[-1] = stripped_lines[-1][:comma_index] + lines[end_index][brace_index:]
+ i = end_index + 1
+ break
+ if lines[end_index].rstrip().endswith(","):
+ i = end_index + 1
+ break
+ end_index += 1
+ else:
+ stripped_lines.append(line)
+ i += 1
+ continue
+ continue
+
+ stripped_lines.append(line)
+ i += 1
+
+ return "".join(stripped_lines)
+
+
+def _find_flow_yaml_delimiter(text, start):
+ """Find the next comma or closing brace outside quoted text."""
+ quote = None
+ i = start
+ while i < len(text):
+ char = text[i]
+ if quote:
+ if char == quote:
+ if quote == "'" and i + 1 < len(text) and text[i + 1] == "'":
+ i += 2
+ continue
+ quote = None
+ elif quote == '"' and char == "\\":
+ i += 2
+ continue
+ elif char in ("'", '"'):
+ quote = char
+ elif char in ",}":
+ return i
+ i += 1
+ return -1
+
+
+def _strip_single_line_flow_yaml_notes(text):
+ """Strip single-line flow-style YAML notes without splitting quoted commas."""
+ lines = text.splitlines(keepends=True)
+ stripped_lines = []
+ note_pattern = re.compile(r'([,{])[ \t]*note:')
+ for line in lines:
+ search_start = 0
+ while True:
+ match = note_pattern.search(line, search_start)
+ if not match:
+ break
+ value_start = match.end()
+ value_end = _find_flow_yaml_delimiter(line, value_start)
+ if value_end == -1:
+ break
+ delimiter = line[value_end]
+ if delimiter == ",":
+ line = line[:match.start()] + line[value_end:]
+ search_start = match.start()
+ elif match.group(1) == ",":
+ line = line[:match.start()] + line[value_end:]
+ search_start = match.start()
+ else:
+ line = line[:match.start() + 1] + line[value_end:]
+ search_start = match.start() + 1
+ stripped_lines.append(line)
+
+ return "".join(stripped_lines)
+
+
def make_output_subdirectory(output_directory, folder):
"""
Create a subdirectory `folder` in the output directory. If the folder
@@ -125,6 +215,36 @@ def make_output_subdirectory(output_directory, folder):
os.mkdir(dirname)
+def strip_yaml_notes(src, dst):
+ """Read a YAML file, strip ``note:`` fields, and write the
+ result to *dst*. Preserves formatting (block style, key
+ ordering, etc.) - important when the source is the carefully
+ crafted ck2yaml output.
+
+ Three patterns are handled:
+ 1. Block-style: `` note: ...`` on its own line,
+ possibly followed by deeper-indented continuation lines
+ (multi-line literal/folded scalars).
+ 2. Single-line flow: ``{..., note: foo, ...}`` -> ``{..., ...}``
+ 3. Wrapped flow: a flow mapping that wraps with the
+ trailing ``,`` at the end of one line and
+ `` note: foo`` on the next -> drop the note field.
+ """
+ if not os.path.exists(src):
+ return
+ with open(src) as f:
+ text = f.read()
+ # Wrapped flow style: a flow mapping that wraps after a trailing comma,
+ # with ``note: value`` on the next line.
+ text = _strip_wrapped_flow_yaml_notes(text)
+ text = _strip_single_line_flow_yaml_notes(text)
+ # Block style: `` note: ...\n`` plus deeper-indented
+ # continuation lines.
+ text = re.sub(r'^( +)note:.*\n(?:\1 +[^\n]*\n)*', '', text, flags=re.MULTILINE)
+ with open(dst, "w") as f:
+ f.write(text)
+
+
def timefn(fn):
@wraps(fn)
def measure_time(*args, **kwargs):
@@ -173,7 +293,7 @@ def parse_command_line_arguments(command_line_args=None):
parser.add_argument('-P', '--postprocess', action='store_true',
help='postprocess profiling statistics from previous [failed] run; does not run the simulation')
- parser.add_argument('-t', '--walltime', type=str, nargs=1, default='00:00:00:00',
+ parser.add_argument('-t', '--walltime', type=str, nargs=1, default=None,
metavar='DD:HH:MM:SS', help='set the maximum execution time')
parser.add_argument('-i', '--maxiter', type=int, nargs=1, default=None,
@@ -197,7 +317,7 @@ def parse_command_line_arguments(command_line_args=None):
args.file = args.file[0]
# If walltime was specified, retrieve this string from the element 1 list
- if args.walltime != '00:00:00:00':
+ if args.walltime:
args.walltime = args.walltime[0]
if args.restart:
diff --git a/rmgpy/version.py b/rmgpy/version.py
index c77bee82397..0b08938a75b 100644
--- a/rmgpy/version.py
+++ b/rmgpy/version.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -33,4 +33,4 @@
This value can be accessed via `rmgpy.__version__`.
"""
-__version__ = '3.3.0'
+__version__ = '4.0.0'
diff --git a/rmgpy/yaml_cantera1.py b/rmgpy/yaml_cantera1.py
new file mode 100644
index 00000000000..7dd5c145cd2
--- /dev/null
+++ b/rmgpy/yaml_cantera1.py
@@ -0,0 +1,646 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+This file defines functions for outputting the RMG generated mechanism to
+a yaml file that can be read by Cantera
+"""
+
+
+import os
+import shutil
+try:
+ from yaml import CDumper as _BaseDumper
+except ImportError:
+ from yaml import Dumper as _BaseDumper
+import yaml
+import logging
+
+
+class Dumper(_BaseDumper):
+ """
+ YAML Dumper that emits multi-line strings using the literal block style
+ ('|') instead of the default double-quoted form with embedded '\\n'.
+ Used to render the multi-line 'note' field on reactions in a way that
+ mirrors ck2yaml's output.
+ """
+
+
+def _multiline_str_representer(dumper, data):
+ if "\n" in data:
+ return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|")
+ return dumper.represent_scalar("tag:yaml.org,2002:str", data)
+
+
+Dumper.add_representer(str, _multiline_str_representer)
+
+from rmgpy.species import Species
+from rmgpy.kinetics.arrhenius import (
+ MultiArrhenius,
+ MultiPDepArrhenius,
+)
+from rmgpy.kinetics.falloff import Lindemann, ThirdBody, Troe
+from rmgpy.kinetics.model import PDepKineticsModel
+from rmgpy.util import make_output_subdirectory
+from datetime import datetime
+from rmgpy.chemkin import get_species_identifier
+from rmgpy.data.kinetics.family import TemplateReaction
+from rmgpy.data.kinetics.library import LibraryReaction
+from rmgpy.rmg.pdep import PDepReaction
+
+
+def _convert_anymap_to_dict(obj):
+ """
+ Recursively convert Cantera AnyMap objects to regular Python dicts.
+
+ Cantera's input_data property returns dicts containing AnyMap objects,
+ which are Cython extension types that cannot be serialized by YAML.
+ This function recursively converts all AnyMaps to plain dicts.
+
+ Args:
+ obj: Any object (dict, list, AnyMap, or primitive type)
+
+ Returns:
+ The object with all AnyMaps converted to dicts
+ """
+ try:
+ from cantera._utils import AnyMap
+ except ImportError:
+ # If Cantera is not available or doesn't have AnyMap, just return the object
+ return obj
+
+ if isinstance(obj, AnyMap):
+ # Convert AnyMap to dict and recursively process values
+ return {k: _convert_anymap_to_dict(v) for k, v in dict(obj).items()}
+ elif isinstance(obj, dict):
+ # Recursively process dict values
+ return {k: _convert_anymap_to_dict(v) for k, v in obj.items()}
+ elif isinstance(obj, (list, tuple)):
+ # Recursively process list/tuple elements
+ return type(obj)(_convert_anymap_to_dict(item) for item in obj)
+ else:
+ # Return primitive types as-is
+ return obj
+
+
+def write_cantera(
+ spcs,
+ rxns,
+ elements_in_use,
+ surface_site_density=None,
+ solvent=None,
+ solvent_data=None,
+ path="chem.yml",
+):
+ """
+ Writes yaml file depending on the type of system (gas-phase, catalysis).
+ Writes beginning lines of yaml file, then uses yaml.dump(result_dict) to write species/reactions info.
+ Species and reaction notes (SMILES, source, kinetics comment) are always included; how detailed
+ each underlying kinetics/thermo comment is, is governed by the global ``verboseComments`` option.
+
+ elements_in_use is a set of :class:`Element` singletons. Only those elements
+ are listed in the YAML 'elements' block and 'phases.elements' lines.
+ """
+
+ try:
+ from rmgpy.rmg.main import RMG
+ git_head, _ = RMG.get_git_commit(None, os.path.dirname(__file__))
+ git_head = " (git commit: {0})".format(git_head[:7])
+ except Exception:
+ git_head = ''
+
+ elements_block, elements_line = get_elements_block(elements_in_use)
+
+ # intro to file will change depending on the presence of surface species
+ is_surface = False
+ for spc in spcs:
+ if spc.contains_surface_site():
+ is_surface = True
+ if is_surface:
+ has_coverage_dependence = any(
+ hasattr(spc.thermo, 'thermo_coverage_dependence') and spc.thermo.thermo_coverage_dependence
+ for spc in spcs if spc.contains_surface_site()
+ )
+ result_dict = get_mech_dict_surface(
+ spcs, rxns, solvent=solvent, solvent_data=solvent_data
+ )
+ phases_block = get_phases_with_surface(
+ spcs, surface_site_density, elements_line, has_coverage_dependence=has_coverage_dependence
+ )
+ else:
+ result_dict = get_mech_dict_nonsurface(
+ spcs, rxns, solvent=solvent, solvent_data=solvent_data
+ )
+ phases_block = get_phases_gas_only(spcs, elements_line)
+
+ with open(path, "w") as f:
+ # generator line
+ generator = f"RMG-Py CanteraWriter1 at {__file__}{git_head}"
+ f.write(f'generator: "{generator}"\n')
+
+ # datetime object containing current date and time
+ now = datetime.now()
+ dt_string = now.strftime("%a, %d %b %Y %H:%M:%S")
+ f.write(f"date: {dt_string}\n")
+
+ # units line
+ f.write(
+ "\nunits: {length: m, time: s, quantity: kmol, activation-energy: J/kmol}\n\n"
+ )
+
+ f.write(phases_block)
+
+ f.write(elements_block)
+
+ yaml.dump(result_dict, stream=f, Dumper=Dumper, sort_keys=False, default_flow_style=None, width=80)
+
+def get_elements_block(elements_in_use):
+ """
+ Returns the 'elements' section, and elements list for a phase.
+
+ elements_in_use is a set of :class:`Element` singletons (e.g. the ones returned by
+ :meth:`rmgpy.rmg.model.ReactionModel.get_elements`). Only elements present
+ in the set are emitted; isotopes (D, T, CI, OI) and the surface site X are
+ written to the elements block only when actually used.
+ """
+ from rmgpy.molecule.element import D, T, C13, O18, X
+ custom_singletons = {D, T, C13, O18, X}
+ elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons)
+ custom_elements = []
+ for isotope in (D, T, C13, O18):
+ if isotope in elements_in_use:
+ mass = 1000 * isotope.mass
+ custom_elements.append({'symbol': isotope.chemkin_name, 'atomic-weight': mass})
+ elements_list.append(isotope.chemkin_name)
+ if X in elements_in_use:
+ elements_list.append('X')
+ custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083})
+ # Only emit the top-level 'elements:' block when there are non-builtin entries
+ if custom_elements:
+ elements_block = '\nelements:\n' + '\n'.join([f"- symbol: {e['symbol']}\n atomic-weight: {e['atomic-weight']:f}" for e in custom_elements]) + '\n\n'
+ else:
+ elements_block = ''
+ elements_line = f"elements: [{', '.join(elements_list)}]"
+ return elements_block, elements_line
+
+
+def get_phases_gas_only(spcs, elements_line):
+ """
+ Returns 'phases' sections for a file
+ with only gas-phase species/reactions.
+
+ elements_line is the pre-formatted ``elements: [...]`` string from
+ :func:`get_elements_block`.
+ """
+ sorted_species = sorted(spcs, key=lambda spcs: spcs.index)
+ species_to_write = [get_species_identifier(spec) for spec in sorted_species]
+ # make sure species with "[" or "]" is in quotes
+ species_to_write = [
+ f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s
+ for s in species_to_write
+ ]
+ phases_block = f"""
+phases:
+- name: gas
+ thermo: ideal-gas
+ {elements_line}
+ species: [{', '.join(species_to_write)}]
+ kinetics: gas
+ transport: mixture-averaged
+ state: {{T: 300.0, P: 1 atm}}
+"""
+ return phases_block
+
+
+def get_phases_with_surface(spcs, surface_site_density, elements_line, has_coverage_dependence=False):
+ """
+ Yaml files with surface species begin with the following blocks of text,
+ which includes TWO phases instead of just one.
+ Returns 'phases' sections.
+ """
+ surface_species = []
+ gas_species = []
+ for spc in spcs:
+
+ if spc.contains_surface_site():
+ surface_species.append(spc)
+ else:
+ gas_species.append(spc)
+
+ sorted_surface_species = sorted(
+ surface_species, key=lambda surface_species: surface_species.index
+ )
+
+ surface_species_to_write = [
+ get_species_identifier(s) for s in sorted_surface_species
+ ]
+
+ # make sure species with "[" or "]" is in quotes
+ surface_species_to_write = [
+ f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s
+ for s in surface_species_to_write
+ ]
+
+ sorted_gas_species = sorted(gas_species, key=lambda gas_species: gas_species.index)
+ gas_species_to_write = [get_species_identifier(s) for s in sorted_gas_species]
+
+ # make sure species with "[" or "]" is in quotes
+ gas_species_to_write = [
+ f"'{s}'" if "[" in s or "{" in s or "]" in s or "}" in s else s
+ for s in gas_species_to_write
+ ]
+
+ surface_thermo = 'coverage-dependent-surface' if has_coverage_dependence else 'ideal-surface'
+ reference_state_line = '\n reference-state-coverage: 0.11' if has_coverage_dependence else ''
+
+ phases_block = f"""
+phases:
+- name: gas
+ thermo: ideal-gas
+ {elements_line}
+ species: [{', '.join(gas_species_to_write)}]
+ kinetics: gas
+ reactions: [gas-reactions]
+ transport: mixture-averaged
+ state: {{T: 300.0, P: 1 atm}}
+
+- name: surface
+ thermo: {surface_thermo}{reference_state_line}
+ adjacent-phases: [gas]
+ {elements_line}
+ species: [{', '.join(surface_species_to_write)}]
+ kinetics: surface
+ reactions: [site0-reactions]
+ site-density: {surface_site_density * 1e-4 }
+ state: {{T: 300.0, P: 1 atm}}
+"""
+ # surface_site_density * 1e-4 #in units of mol/cm^2
+
+ return phases_block
+
+
+def _collect_reactions(rxn_list, spcs, chemkin_counter):
+ """
+ Convert a list of RMG reactions to a list of YAML reaction dicts,
+ prepending a 'Reaction index: Chemkin #N; RMG #M' line to the note of
+ each entry. chemkin_counter is a single-element list used as a mutable
+ counter so calls across multiple reaction blocks (e.g. gas + site0 in
+ surface mechanisms) share a continuous Chemkin numbering, matching the
+ global counter in the Chemkin writer. For MultiArrhenius/MultiPDepArrhenius
+ reactions, which expand into several YAML entries, each sub-entry gets
+ its own Chemkin number but shares the parent RMG index.
+ """
+ entries = []
+ for rmg_rxn in rxn_list:
+ rxn_entries = reaction_to_dicts(rmg_rxn, spcs)
+ for entry in rxn_entries:
+ chemkin_counter[0] += 1
+ index_line = (
+ f"Reaction index: Chemkin #{chemkin_counter[0]}; "
+ f"RMG #{rmg_rxn.index}"
+ )
+ existing = entry.get("note", "")
+ entry["note"] = index_line + "\n" + existing if existing else index_line + "\n"
+ entries.extend(rxn_entries)
+ return entries
+
+
+def get_mech_dict_surface(spcs, rxns, solvent="solvent", solvent_data=None):
+ """
+ For systems with surface species/reactions.
+ Adds 'species', 'gas-reactions', and 'site0-reactions' to result_dict.
+ """
+ gas_rxns = []
+ surface_rxns = []
+ for rxn in rxns:
+ if rxn.is_surface_reaction():
+ surface_rxns.append(rxn)
+ else:
+ gas_rxns.append(rxn)
+
+ names = [x.label for x in spcs]
+ for i, name in enumerate(names): # fix duplicate names
+ if names.count(name) > 1:
+ names[i] += "-" + str(names.count(name))
+
+ result_dict = dict()
+ result_dict["species"] = [species_to_dict(x, all_species=spcs) for x in spcs]
+
+ # separate gas and surface reactions
+ chemkin_counter = [0]
+ result_dict["gas-reactions"] = _collect_reactions(gas_rxns, spcs, chemkin_counter)
+ result_dict["site0-reactions"] = _collect_reactions(surface_rxns, spcs, chemkin_counter)
+
+ return result_dict
+
+
+def get_mech_dict_nonsurface(spcs, rxns, solvent="solvent", solvent_data=None):
+ """
+ For gas-phase systems.
+ Adds 'species' and 'reactions' to result_dict.
+ """
+ names = [x.label for x in spcs]
+ for i, name in enumerate(names): # fix duplicate names
+ if names.count(name) > 1:
+ names[i] += "-" + str(names.count(name))
+
+ result_dict = dict()
+ result_dict["species"] = [species_to_dict(x) for x in spcs]
+
+ chemkin_counter = [0]
+ result_dict["reactions"] = _collect_reactions(rxns, spcs, chemkin_counter)
+
+ return result_dict
+
+
+def _build_equation_string(obj):
+ """
+ Build the reaction equation string preserving the order of reactants and
+ products as stored on the RMG Reaction object. Cantera's input_data sorts
+ reactant/product maps internally, which loses the source ordering (e.g.
+ 'H + O2' instead of 'O2 + H' for HO2 formation). Match the equation
+ convention used by ck2yaml/CanteraWriter2: stoichiometry coefficients are
+ not collapsed, third-body M (or specific collider) is appended without
+ parentheses, and falloff colliders are written as '(+M)'.
+ """
+ reactants = " + ".join(r.to_chemkin() for r in obj.reactants)
+ products = " + ".join(p.to_chemkin() for p in obj.products)
+
+ suffix = ""
+ kin = obj.kinetics
+ collider = getattr(obj, "specific_collider", None)
+ if isinstance(kin, ThirdBody) and not isinstance(kin, (Lindemann, Troe)):
+ m_label = collider.to_chemkin() if collider else "M"
+ suffix = " + " + m_label
+ elif isinstance(kin, (Lindemann, Troe)):
+ m_label = collider.to_chemkin() if collider else "M"
+ suffix = " (+" + m_label + ")"
+
+ arrow = " <=> " if obj.reversible else " => "
+ return reactants + suffix + arrow + products + suffix
+
+
+def reaction_to_dicts(obj, spcs):
+ """
+ Takes an RMG reaction object (obj), returns a list of dictionaries
+ for YAML properties. For most reaction objects the list will be of
+ length 1, but a MultiArrhenius or MultiPDepArrhenius will be longer.
+ A 'note' field is always added with source and kinetics comment.
+ """
+
+ reaction_list = []
+ if isinstance(obj.kinetics, MultiArrhenius) or isinstance(
+ obj.kinetics, MultiPDepArrhenius
+ ):
+ list_of_cantera_reactions = obj.to_cantera(use_chemkin_identifier=True)
+ else:
+ list_of_cantera_reactions = [obj.to_cantera(use_chemkin_identifier=True)]
+
+
+ rmg_equation = _build_equation_string(obj)
+
+ for reaction in list_of_cantera_reactions:
+ reaction_data = reaction.input_data
+ # Cantera reorders reactant and product species (e.g. it writes
+ # 'H + O2' even when the RMG reaction has them in the order O2, H),
+ # and collapses repeated species into stoichiometric coefficients.
+ # Overwrite with an equation built from obj.reactants/products to
+ # preserve the source ordering and match ck2yaml's output style.
+ reaction_data["equation"] = rmg_equation
+ # Cantera's (v. 3.2) input_data omits 'type: three-body' for plain ThirdBody
+ # reactions (only Lindemann/Troe falloff get a 'type' field).
+ # Add it, immediately after the 'equation' field, to match the ck2yaml output.
+ if isinstance(obj.kinetics, ThirdBody) and "type" not in reaction_data:
+ new_data = {"equation": reaction_data["equation"], "type": "three-body"}
+ for k, v in reaction_data.items():
+ if k != "equation":
+ new_data[k] = v
+ reaction_data = new_data
+ efficiencies = getattr(obj.kinetics, "efficiencies", {})
+ if efficiencies:
+ # RMG oject has efficiencies, so add them to Cantera.
+ reaction_data["efficiencies"] = {
+ spcs[i].to_chemkin(): float(val)
+ for i, val in enumerate(
+ obj.kinetics.get_effective_collider_efficiencies(spcs)
+ )
+ if val != 1
+ }
+ elif not isinstance(obj.kinetics, PDepKineticsModel):
+ # Cantera's API (v. 3.2) misidentifies a species that appears on both sides
+ # of a reaction (e.g. vacantX) as a third-body collider
+ # when there are three or more species on one side, producing a
+ # spurious 'efficiencies' entry in input_data.
+ # see https://github.com/Cantera/cantera/issues/2115
+ reaction_data.pop("efficiencies", None)
+
+ # This next block is hopefully unnecessary, and probably slows us a little
+ # so maybe should be removed. For now it is here for safety.
+ for rate_key in (
+ "rate-constant",
+ "high-P-rate-constant",
+ "low-P-rate-constant",
+ "sticking-coefficient",
+ ):
+ if reaction_data.get(rate_key, {}).get("A", 0) < 0:
+ if not reaction_data.get("negative-A", False):
+ logging.warning(
+ "%s\n%s",
+ "Reaction did not have the negative-A flag set to True.",
+ yaml.dump(
+ reaction_data,
+ Dumper=Dumper,
+ default_flow_style=False,
+ sort_keys=False,
+ ).rstrip(),
+ )
+ reaction_data["negative-A"] = True
+ break
+
+ # Convert any AnyMap objects to regular dicts before appending
+ reaction_data = _convert_anymap_to_dict(reaction_data)
+
+ note_lines = []
+ if isinstance(obj, TemplateReaction):
+ note_lines.append(f"Template reaction: {obj.family}")
+ elif isinstance(obj, LibraryReaction):
+ note_lines.append(f"Library reaction: {obj.library}")
+ elif isinstance(obj, PDepReaction):
+ note_lines.append(f"PDep reaction: {obj.network}")
+ if obj.specific_collider is not None:
+ note_lines.append(f"Specific third body collider: {obj.specific_collider.label}")
+ if getattr(obj, "pairs", None):
+ pair_str = "Flux pairs: " + "; ".join(
+ f"{get_species_identifier(p[0])}, {get_species_identifier(p[1])}"
+ for p in obj.pairs
+ )
+ note_lines.append(pair_str)
+ if obj.kinetics.comment:
+ for line in obj.kinetics.comment.strip("\n").split("\n"):
+ note_lines.append(line.rstrip())
+ if note_lines:
+ reaction_data["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n"
+
+ reaction_list.append(reaction_data)
+
+ return reaction_list
+
+
+def species_to_dict(species, all_species=None):
+ """
+ Takes an RMG species object, returns a dictionary of YAML properties.
+ Also adds in the number of surface sites ('sites') to the dictionary.
+
+ all_species: if provided, coverage-dependent thermo is resolved and
+ attached to the Cantera species object before serialisation, so it
+ appears in the returned dict automatically.
+ Species SMILES and thermo/transport comments are always included.
+ """
+ if not isinstance(species, Species):
+ raise TypeError("species object must be an RMG Species")
+
+ cantera_species = species.to_cantera(use_chemkin_identifier=True, all_species=all_species)
+ species_data = cantera_species.input_data
+
+ try:
+ transport_comment = species.transport_data.comment
+ if transport_comment:
+ species_data["transport"]["note"] = transport_comment
+ except AttributeError:
+ pass
+
+ if "size" in species_data:
+ sites = species_data["size"]
+ species_data.pop("size", None)
+ species_data["sites"] = sites
+
+ # Convert any AnyMap objects to regular dicts before returning
+ species_data = _convert_anymap_to_dict(species_data)
+
+ try:
+ smiles = species.to_smiles()
+ if smiles:
+ species_data["note"] = smiles
+ except Exception:
+ pass
+ if species.thermo and species.thermo.comment:
+ clean_comment = species.thermo.comment.replace('\n', '; ').strip()
+ if clean_comment:
+ if "thermo" in species_data and isinstance(species_data["thermo"], dict):
+ species_data["thermo"]["note"] = clean_comment
+
+ # returns composition, name, thermo, and transport, and note
+ return species_data
+
+
+class CanteraWriter1(object):
+ """
+ This class listens to a RMG subject
+ and writes an YAML file with the current state of the RMG model,
+ to a yaml subfolder.
+
+
+ A new instance of the class can be appended to a subject as follows:
+
+ rmg = ...
+ listener = CanteraWriter1(outputDirectory)
+ rmg.attach(listener)
+
+ Whenever the subject calls the .notify() method, the
+ .update() method of the listener will be called.
+
+ To stop listening to the subject, the class can be detached
+ from its subject:
+
+ rmg.detach(listener)
+
+ """
+
+ def __init__(self, output_directory="", config=None):
+ super(CanteraWriter1, self).__init__()
+ self.output_directory = output_directory
+ self.config = config
+ self.output_subdirectory = os.path.join(self.output_directory, "cantera1")
+ make_output_subdirectory(output_directory, "cantera1")
+
+ def update(self, rmg):
+ if self.config is not None and not self.config.should_write(
+ rmg.reaction_model.iteration_num, rmg.is_final_save):
+ return
+ save_edge = self.config.save_edge if (self.config and self.config.save_edge is not None) else rmg.save_edge_species
+
+ num_species = len(rmg.reaction_model.core.species)
+ this_output_path = os.path.join(self.output_subdirectory,
+ f"chem_annotated{num_species:04d}.yaml")
+ latest_output_path = os.path.join(self.output_subdirectory, 'chem_annotated.yaml')
+
+ logging.info(f"Saving current model core to Cantera file: {this_output_path}")
+
+ solvent_data = None
+ if rmg.solvent:
+ solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent)
+
+ surface_site_density = None
+ if rmg.reaction_model.surface_site_density:
+ surface_site_density = rmg.reaction_model.surface_site_density.value_si
+
+ core_elements = rmg.reaction_model.core.get_elements()
+
+ write_cantera(
+ rmg.reaction_model.core.species,
+ rmg.reaction_model.core.reactions,
+ elements_in_use=core_elements,
+ surface_site_density=surface_site_density,
+ solvent=rmg.solvent,
+ solvent_data=solvent_data,
+ path=this_output_path,
+ )
+ shutil.copy2(this_output_path, latest_output_path)
+
+ if save_edge:
+ from rmgpy.rmg.model import ReactionModel
+ logging.info('Saving current model core and edge to Cantera file...')
+ edge_species = rmg.reaction_model.core.species + rmg.reaction_model.edge.species
+ edge_reactions = rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions
+ edge_elements = ReactionModel(species=edge_species, reactions=edge_reactions).get_elements()
+
+ this_edge_path = os.path.join(self.output_subdirectory,
+ f"chem_edge_annotated{num_species:04d}.yaml")
+ latest_edge_path = os.path.join(self.output_subdirectory, 'chem_edge_annotated.yaml')
+
+ write_cantera(
+ edge_species,
+ edge_reactions,
+ elements_in_use=edge_elements,
+ surface_site_density=surface_site_density,
+ solvent=rmg.solvent,
+ solvent_data=solvent_data,
+ path=this_edge_path,
+ )
+ shutil.copy2(this_edge_path, latest_edge_path)
diff --git a/rmgpy/yaml_cantera2.py b/rmgpy/yaml_cantera2.py
new file mode 100644
index 00000000000..a94d60830a0
--- /dev/null
+++ b/rmgpy/yaml_cantera2.py
@@ -0,0 +1,737 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+This module contains functions for writing of Cantera input files.
+"""
+
+from typing import Union, TYPE_CHECKING
+
+import os
+import shutil
+import logging
+try:
+ from yaml import CDumper as _BaseDumper
+except ImportError:
+ from yaml import Dumper as _BaseDumper
+import yaml
+
+
+class Dumper(_BaseDumper):
+ """
+ YAML Dumper that emits multi-line strings using the literal block style
+ ('|') instead of the default double-quoted form with embedded '\\n'.
+ Used to render the multi-line 'note' field on reactions in a way that
+ mirrors ck2yaml's output.
+ """
+
+
+def _multiline_str_representer(dumper, data):
+ if "\n" in data:
+ return dumper.represent_scalar("tag:yaml.org,2002:str", data, style="|")
+ return dumper.represent_scalar("tag:yaml.org,2002:str", data)
+
+
+Dumper.add_representer(str, _multiline_str_representer)
+
+from rmgpy.data.kinetics.family import TemplateReaction
+from rmgpy.data.kinetics.library import LibraryReaction
+from rmgpy.kinetics import (
+ Arrhenius, PDepArrhenius, MultiArrhenius, MultiPDepArrhenius,
+ Chebyshev, Troe, Lindemann, ThirdBody,
+ StickingCoefficient, SurfaceArrhenius,
+)
+from rmgpy.reaction import Reaction
+from rmgpy.rmg.pdep import PDepReaction
+from rmgpy.util import make_output_subdirectory
+import rmgpy.constants as constants
+
+from rmgpy.species import Species
+if TYPE_CHECKING:
+ from rmgpy.molecule.molecule import Molecule
+
+SYMBOL_BY_NUMBER = {0: 'e', 1: 'H', 2: 'He', 3: 'Li', 4: 'Be', 5: 'B', 6: 'C', 7: 'N', 8: 'O', 9: 'F', 10: 'Ne',
+ 11: 'Na', 12: 'Mg', 13: 'Al', 14: 'Si', 15: 'P', 16: 'S', 17: 'Cl', 18: 'Ar', 19: 'K', 20: 'Ca',
+ 21: 'Sc', 22: 'Ti', 23: 'V', 24: 'Cr', 25: 'Mn', 26: 'Fe', 27: 'Co', 28: 'Ni', 29: 'Cu', 30: 'Zn',
+ 31: 'Ga', 32: 'Ge', 33: 'As', 34: 'Se', 35: 'Br', 36: 'Kr', 37: 'Rb', 38: 'Sr', 39: 'Y', 40: 'Zr',
+ 41: 'Nb', 42: 'Mo', 43: 'Tc', 44: 'Ru', 45: 'Rh', 46: 'Pd', 47: 'Ag', 48: 'Cd', 49: 'In', 50: 'Sn',
+ 51: 'Sb', 52: 'Te', 53: 'I', 54: 'Xe', 55: 'Cs', 56: 'Ba', 57: 'La', 58: 'Ce', 59: 'Pr', 60: 'Nd',
+ 61: 'Pm', 62: 'Sm', 63: 'Eu', 64: 'Gd', 65: 'Tb', 66: 'Dy', 67: 'Ho', 68: 'Er', 69: 'Tm', 70: 'Yb',
+ 71: 'Lu', 72: 'Hf', 73: 'Ta', 74: 'W', 75: 'Re', 76: 'Os', 77: 'Ir', 78: 'Pt', 79: 'Au', 80: 'Hg',
+ 81: 'Tl', 82: 'Pb', 83: 'Bi', 84: 'Po', 85: 'At', 86: 'Rn', 87: 'Fr', 88: 'Ra', 89: 'Ac', 90: 'Th',
+ 91: 'Pa', 92: 'U', 93: 'Np', 94: 'Pu', 95: 'Am', 96: 'Cm', 97: 'Bk', 98: 'Cf', 99: 'Es', 100: 'Fm',
+ 101: 'Md', 102: 'No', 103: 'Lr', 104: 'Rf', 105: 'Db', 106: 'Sg', 107: 'Bh', 108: 'Hs', 109: 'Mt',
+ 110: 'Ds', 111: 'Rg', 112: 'Cn', 113: 'Nh', 114: 'Fl', 115: 'Mc', 116: 'Lv', 117: 'Ts', 118: 'Og'}
+NUMBER_BY_SYMBOL = {value: key for key, value in SYMBOL_BY_NUMBER.items()}
+NUMBER_BY_SYMBOL['E'] = 0
+
+
+class CanteraWriter2(object):
+ """
+ This class listens to a RMG subject and writes a Cantera YAML file
+ with the current state of the RMG model at every iteration.
+ """
+
+ def __init__(self, output_directory='', config=None):
+ self.output_directory = output_directory
+ self.config = config
+ make_output_subdirectory(output_directory, 'cantera2')
+
+ def update(self, rmg):
+ """
+ Called whenever the RMG subject notifies listeners.
+ """
+ if self.config is not None and not self.config.should_write(
+ rmg.reaction_model.iteration_num, rmg.is_final_save):
+ return
+ save_cantera_files(rmg, config=self.config)
+
+
+def save_cantera_files(rmg, config=None):
+ """
+ Save the current reaction model to a set of Cantera YAML files.
+
+ Each iteration writes:
+ 1. chem_annotated{N}.yaml (snapshot for this iteration, where N = num core species)
+ 2. chem_annotated.yaml (latest copy)
+ 3. chem_edge_annotated{N}.yaml / chem_edge_annotated.yaml if saveEdge is set
+
+ The notes-stripped variants (chem.yaml / chem_edge.yaml) are produced
+ once at end-of-run by rmgpy/rmg/main.py.
+ """
+ save_edge = config.save_edge if (config and config.save_edge is not None) else rmg.save_edge_species
+
+ # Ensure subdirectory exists
+ cantera_dir = os.path.join(rmg.output_directory, 'cantera2')
+ if not os.path.exists(cantera_dir):
+ os.mkdir(cantera_dir)
+
+ try:
+ site_density = rmg.surface_site_density.value_si
+ except (AttributeError, KeyError, TypeError):
+ site_density = None
+
+ # -------------------------------------------------------------------------
+ # 1. Save Core Model
+ # -------------------------------------------------------------------------
+ num_species = len(rmg.reaction_model.core.species)
+
+ # Define paths
+ this_cantera_path = os.path.join(cantera_dir,
+ 'chem_annotated{0:04d}.yaml'.format(num_species))
+ latest_cantera_path = os.path.join(cantera_dir, 'chem_annotated.yaml')
+
+ logging.info(f"Saving current model core to Cantera file: {this_cantera_path}")
+
+ save_cantera_model(rmg.reaction_model.core, this_cantera_path, site_density=site_density)
+
+ # Copy to 'chem_annotated.yaml' (the latest file)
+ if os.path.exists(latest_cantera_path):
+ os.unlink(latest_cantera_path)
+ shutil.copy2(this_cantera_path, latest_cantera_path)
+
+ # -------------------------------------------------------------------------
+ # 2. Save Edge Model (Optional, matching ChemkinWriter logic)
+ # -------------------------------------------------------------------------
+ if save_edge:
+ from rmgpy.rmg.model import ReactionModel
+ logging.info('Saving current model core and edge to Cantera file...')
+
+ this_edge_path = os.path.join(cantera_dir,
+ 'chem_edge_annotated{0:04d}.yaml'.format(num_species))
+ latest_edge_path = os.path.join(cantera_dir, 'chem_edge_annotated.yaml')
+
+ edge_model = ReactionModel(
+ species=rmg.reaction_model.core.species + rmg.reaction_model.edge.species,
+ reactions=rmg.reaction_model.core.reactions + rmg.reaction_model.edge.reactions,
+ )
+
+ save_cantera_model(edge_model, this_edge_path, site_density=site_density)
+
+ if os.path.exists(latest_edge_path):
+ os.unlink(latest_edge_path)
+ shutil.copy2(this_edge_path, latest_edge_path)
+
+
+def save_cantera_model(model_container, path, site_density=None):
+ """
+ Internal helper to generate the dictionary and write the YAML file.
+ model_container must be a :class:`rmgpy.rmg.model.ReactionModel` (or duck-typed
+ equivalent with .species, .reactions, and .get_elements()).
+ Species/reaction notes (SMILES, source, kinetics comments) are always
+ included in the output.
+ """
+ species_list = model_container.species
+ reaction_list = model_container.reactions
+ elements_in_use = model_container.get_elements()
+
+ is_plasma = False
+ for sp in species_list:
+ if sp.is_electron():
+ is_plasma = True
+ break
+
+ # Generate Data
+ yaml_data = generate_cantera_data(species_list, reaction_list,
+ elements_in_use=elements_in_use,
+ is_plasma=is_plasma,
+ site_density=site_density)
+
+ # Write
+ with open(path, 'w') as f:
+ # sort_keys=False ensures 'units' comes first, then 'phases', etc.
+ yaml.dump(yaml_data, f, Dumper=Dumper, sort_keys=False, default_flow_style=None)
+
+def get_elements_lists(elements_in_use):
+ """
+ Returns custom element definitions and the elements list for phases.
+
+ elements_in_use is a set of :class:`Element` singletons (typically from
+ :meth:`rmgpy.rmg.model.ReactionModel.get_elements`). Only those elements
+ are emitted; isotopes (D, T, CI, OI) and X are added only when present in
+ the set.
+ """
+ from rmgpy.molecule.element import D, T, C13, O18, X
+ custom_singletons = {D, T, C13, O18, X}
+ custom_elements = []
+ elements_list = sorted(element.chemkin_name for element in elements_in_use if element not in custom_singletons)
+ for isotope in (D, T, C13, O18):
+ if isotope in elements_in_use:
+ mass = 1000 * isotope.mass
+ custom_elements.append({'symbol': isotope.chemkin_name, 'atomic-weight': mass})
+ elements_list.append(isotope.chemkin_name)
+ if X in elements_in_use:
+ elements_list.append('X')
+ custom_elements.append({'symbol': 'X', 'atomic-weight': 195.083})
+ return custom_elements, elements_list
+
+
+def generate_cantera_data(species_list,
+ reaction_list,
+ elements_in_use=None,
+ is_plasma=False,
+ site_density=None,
+ ):
+ """
+ Converts RMG objects into a dictionary structure compatible with Cantera YAML.
+ Species/reaction notes (SMILES, source, kinetics comments) are always included.
+
+ elements_in_use is a set of :class:`Element` singletons (typically from
+ :meth:`rmgpy.rmg.model.ReactionModel.get_elements`) used to size the
+ 'elements' block and the per-phase elements lists. Defaults to an empty
+ set if None.
+ """
+
+ # --- 1. Header & Units ---
+ # We output everything in SI units.
+ try:
+ from rmgpy.rmg.main import RMG
+ git_head, _ = RMG.get_git_commit(None, os.path.dirname(__file__))
+ git_head = " (git commit: {0})".format(git_head[:7])
+ except Exception:
+ git_head = ''
+
+ data = {
+ 'description': 'RMG-Py Generated Mechanism',
+ 'generator': f'RMG-Py CanteraWriter2 at {__file__}{git_head}',
+ 'cantera-version': '3.1',
+ 'units': {
+ 'length': 'm',
+ 'time': 's',
+ 'quantity': 'mol',
+ 'activation-energy': 'J/mol'
+ }
+ }
+
+ # Sort species list by index
+ sorted_species = sorted(species_list, key=lambda species: species.index)
+
+ # --- 2. Phase Segregation (Gas vs Surface) ---
+ gas_species, surface_species, gas_reactions, surface_reactions = list(), list(), list(), list()
+
+ for spc in sorted_species:
+ if spc.contains_surface_site():
+ surface_species.append(spc)
+ else:
+ gas_species.append(spc)
+
+ for rxn in reaction_list:
+ if rxn.is_surface_reaction():
+ surface_reactions.append(rxn)
+ else:
+ gas_reactions.append(rxn)
+
+ # --- 3. Phase Definitions ---
+ if elements_in_use is None:
+ # more efficient to calculate it earlier, but do so here if not provided
+ from rmgpy.rmg.model import ReactionModel
+ elements_in_use = ReactionModel(species=species_list).get_elements()
+
+ custom_elements, all_elements = get_elements_lists(elements_in_use)
+
+ if custom_elements:
+ data['elements'] = custom_elements
+ elements_set = set(all_elements)
+ from rmgpy.molecule.element import e
+ if is_plasma or e in elements_in_use:
+ elements_set.add('E')
+
+ phases = list()
+
+ gas_phase_def = {
+ 'name': 'gas',
+ 'thermo': 'plasma' if is_plasma else 'ideal-gas',
+ 'elements': sorted(list(elements_set)),
+ 'species': [get_label(spc, species_list) for spc in gas_species],
+ 'kinetics': 'gas',
+ }
+
+ if surface_species:
+ gas_phase_def['reactions'] = ['gas-reactions']
+ if is_plasma:
+ gas_phase_def['transport'] = 'ionized-gas'
+ # Plasma specific defaults
+ gas_phase_def['electron-energy-distribution'] = {
+ 'type': 'isotropic',
+ 'shape-factor': 2.0,
+ 'mean-electron-energy': 1.0
+ }
+ else:
+ gas_phase_def['transport'] = 'mixture-averaged'
+
+ gas_phase_def['state'] = {'T': 300.0, 'P': '1 atm'}
+ phases.append(gas_phase_def)
+
+ if surface_species:
+ default_site_density = 2.5e-5 # mol/m^2
+
+ has_coverage_dependence = any(
+ hasattr(sp.thermo, 'thermo_coverage_dependence') and sp.thermo.thermo_coverage_dependence
+ for sp in surface_species
+ )
+
+ surface_phase_def = {
+ 'name': 'surface',
+ 'thermo': 'coverage-dependent-surface' if has_coverage_dependence else 'ideal-surface',
+ 'adjacent-phases': ['gas'],
+ 'elements': sorted(list(elements_set)),
+ 'species': [get_label(sp, species_list) for sp in surface_species],
+ 'kinetics': 'surface',
+ 'reactions': ['surface-reactions'],
+ 'site-density': site_density or default_site_density,
+ 'state': {'T': 300.0, 'P': '1 atm'},
+ }
+ if has_coverage_dependence:
+ surface_phase_def['reference-state-coverage'] = 0.11
+ phases.append(surface_phase_def)
+
+ data['phases'] = phases
+
+ species_data = list()
+ for sp in species_list:
+ species_data.append(species_to_dict(sp, species_list))
+ data['species'] = species_data
+
+ # Build separate reaction lists for each phase if there are two phases.
+ # chemkin_counter is a single-element list used as a mutable counter so
+ # the Chemkin reaction numbering in the reaction notes continues unbroken
+ # across the gas and surface reaction blocks, matching the global
+ # counter in the Chemkin writer.
+ chemkin_counter = [0]
+ gas_reaction_data = _collect_reaction_entries(gas_reactions, species_list,
+ chemkin_counter)
+
+ if surface_species:
+ data['gas-reactions'] = gas_reaction_data
+ data['surface-reactions'] = []
+ else:
+ data['reactions'] = gas_reaction_data
+
+ if surface_reactions:
+ data['surface-reactions'] = _collect_reaction_entries(
+ surface_reactions, species_list, chemkin_counter)
+
+ return data
+
+
+def _collect_reaction_entries(rxns, species_list, chemkin_counter):
+ """
+ Convert RMG reactions to YAML reaction dicts, prepending a 'Reaction
+ index: Chemkin #N; RMG #M' line to each note. For
+ MultiArrhenius/MultiPDepArrhenius reactions, which expand into several
+ YAML entries, each sub-entry gets its own Chemkin number but shares
+ the parent RMG index.
+ """
+ entries = []
+ for rxn in rxns:
+ rxn_entries = reaction_to_dict_list(rxn, species_list)
+ for entry in rxn_entries:
+ chemkin_counter[0] += 1
+ index_line = (
+ f"Reaction index: Chemkin #{chemkin_counter[0]}; "
+ f"RMG #{rxn.index}"
+ )
+ existing = entry.get("note", "")
+ entry["note"] = (
+ index_line + "\n" + existing if existing else index_line + "\n"
+ )
+ entries.extend(rxn_entries)
+ return entries
+
+
+def species_to_dict(species, species_list):
+ """Convert an RMG Species object to a Cantera YAML dictionary.
+ Species notes (SMILES, thermo/transport comments) are always included.
+ """
+
+ notes = list()
+ try:
+ notes.append(species.to_smiles())
+ except:
+ pass
+
+ # Composition
+ mol = species.molecule[0]
+ atom_dict = {}
+ for atom in mol.atoms:
+ symbol = atom.element.chemkin_name
+ atom_dict[symbol] = atom_dict.get(symbol, 0) + 1
+
+ # Number of electrons 'E'
+ # The special pseudo-element E is used in representing charged species, where it specifies
+ # the net number of electrons compared to the number needed to form a neutral species.
+ # That is, negatively charged ions will have E > 0, while positively charged ions will have E < 0.
+ # https://cantera.org/3.1/userguide/creating-mechanisms.html#elemental-composition
+ charge = mol.get_net_charge()
+ if 'E' in atom_dict:
+ electrons = atom_dict['E']
+ if charge == 0 and electrons != 0:
+ logging.warning(f"Species {species} has {electrons} electrons but charge 0. "
+ f"Reporting {electrons} electrons in the Cantera YAML composition.")
+ elif electrons != -charge:
+ logging.warning(f"Species {species} has {electrons} electrons but charge {charge}. "
+ f"Reporting {-charge} electrons in the Cantera YAML composition.")
+ if charge != 0:
+ atom_dict['E'] = -charge
+
+ # Sort composition by atomic number
+ atom_dict = {k: atom_dict[k] for k in sorted(atom_dict.keys(), key=lambda x: NUMBER_BY_SYMBOL.get(x, 999))}
+
+ # Thermo (NASA7)
+ thermo_data = species.get_thermo_data()
+
+ # Sort polynomials by Tmin
+ sorted_polys = sorted(thermo_data.polynomials, key=lambda p: p.Tmin.value_si)
+
+ polys = []
+ for poly in sorted_polys:
+ polys.append({
+ 'T-range': [poly.Tmin.value_si, poly.Tmax.value_si],
+ 'data': poly.coeffs.tolist() # a0..a6
+ })
+
+ # Build the base dictionary
+ species_entry = {
+ 'name': get_label(species, species_list),
+ 'composition': atom_dict,
+ 'thermo': {
+ 'model': 'NASA7',
+ 'temperature-ranges': [sorted_polys[0].Tmin.value_si, sorted_polys[0].Tmax.value_si,
+ sorted_polys[1].Tmax.value_si],
+ 'data': [polys[0]['data'], polys[1]['data']]
+ },
+ }
+
+ num_sites = mol.number_of_surface_sites()
+ if num_sites > 1:
+ species_entry['sites'] = num_sites
+
+ # Transport (if available) - Only relevant for gas phase usually
+ if species.transport_data and not species.contains_surface_site():
+ td = species.transport_data
+
+ transport_dict = {
+ 'model': 'gas',
+ 'geometry': 'atom' if td.shapeIndex == 0 else 'linear' if td.shapeIndex == 1 else 'nonlinear',
+ 'well-depth': td.epsilon.value_si / constants.R, # Kelvin
+ 'diameter': td.sigma.value_si * 1e10, # Angstroms
+ }
+ if td.dipoleMoment and td.dipoleMoment.value_si != 0.0:
+ transport_dict['dipole'] = td.dipoleMoment.value_si * 1e21 * constants.c # Debye
+ if getattr(td, 'polarizability', None) and td.polarizability.value_si != 0.0:
+ transport_dict['polarizability'] = td.polarizability.value_si * 1e30 # Angstrom^3
+ if getattr(td, 'rotrelaxcollnum', None) and td.rotrelaxcollnum != 0.0:
+ transport_dict['rotational-relaxation'] = td.rotrelaxcollnum
+ if td.comment:
+ transport_dict['note'] = td.comment.strip()
+ species_entry['transport'] = transport_dict
+
+ if species.thermo and species.thermo.comment:
+ clean_comment = species.thermo.comment.replace('\n', '; ').strip()
+ species_entry['thermo']['note'] = clean_comment
+
+ if notes:
+ species_entry['note'] = " | ".join(notes)
+
+ # Add coverage-dependencies if this surface species has coverage-dependent thermo
+ if (species.contains_surface_site() and
+ hasattr(thermo_data, 'thermo_coverage_dependence') and
+ thermo_data.thermo_coverage_dependence):
+ from rmgpy.molecule.molecule import Molecule
+ cov_deps = {}
+ for adj_list, parameters in thermo_data.thermo_coverage_dependence.items():
+ mol = Molecule().from_adjacency_list(adj_list)
+ for sp in species_list:
+ if sp.is_isomorphic(mol, strict=False):
+ dep_label = get_label(sp, species_list)
+ if dep_label:
+ cov_deps[dep_label] = {
+ 'units': {'energy': 'J', 'quantity': 'mol'},
+ 'enthalpy-coefficients': [v.value_si for v in parameters['enthalpy-coefficients']],
+ 'entropy-coefficients': [v.value_si for v in parameters['entropy-coefficients']],
+ }
+ break
+ if cov_deps:
+ species_entry['coverage-dependencies'] = cov_deps
+
+ return species_entry
+
+
+def reaction_to_dict_list(reaction, species_list=None):
+ """
+ Convert an RMG Reaction object to a LIST of Cantera YAML dictionaries.
+ A 'note' field is always added with source and kinetics comment.
+ """
+ # Check for MultiKinetics (duplicates grouped in one RMG object)
+ if isinstance(reaction.kinetics, (MultiArrhenius, MultiPDepArrhenius)):
+ entries = []
+ sub_kinetics_list = reaction.kinetics.arrhenius
+
+ for sub_kin in sub_kinetics_list:
+ sub_rxn = Reaction(
+ reactants=reaction.reactants,
+ products=reaction.products,
+ reversible=reaction.reversible,
+ kinetics=sub_kin,
+ duplicate=True
+ )
+ sub_result = reaction_to_dict_list(sub_rxn, species_list)
+ if sub_result:
+ entries.extend(sub_result)
+ return entries
+
+ kin = reaction.kinetics
+
+ # Generate equation string
+ equation = get_reaction_equation(reaction, species_list)
+ entry = {'equation': equation}
+
+ if reaction.duplicate:
+ entry['duplicate'] = True
+
+ # --- Kinetics Serialization ---
+
+ # 1. Surface Kinetics
+ if isinstance(kin, StickingCoefficient):
+ entry['type'] = 'sticking-Arrhenius'
+ entry['sticking-coefficient'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si}
+
+ elif isinstance(kin, SurfaceArrhenius):
+ entry['type'] = 'interface-Arrhenius'
+ entry['rate-constant'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si}
+
+ # 2. Gas Kinetics
+ elif isinstance(kin, Arrhenius):
+ entry['rate-constant'] = {'A': kin.A.value_si, 'b': kin.n.value_si, 'Ea': kin.Ea.value_si}
+
+ elif isinstance(kin, Chebyshev):
+ entry['type'] = 'Chebyshev'
+ entry['temperature-range'] = [kin.Tmin.value_si, kin.Tmax.value_si]
+ entry['pressure-range'] = [kin.Pmin.value_si, kin.Pmax.value_si]
+ entry['data'] = kin.coeffs.value_si.tolist()
+
+ elif isinstance(kin, ThirdBody):
+ entry['type'] = 'three-body'
+ entry['rate-constant'] = {
+ 'A': kin.arrheniusLow.A.value_si,
+ 'b': kin.arrheniusLow.n.value_si,
+ 'Ea': kin.arrheniusLow.Ea.value_si
+ }
+ entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if
+ (lbl := get_label(m, species_list)) is not None}
+
+ elif isinstance(kin, Troe):
+ entry['type'] = 'falloff'
+ entry['high-P-rate-constant'] = {
+ 'A': kin.arrheniusHigh.A.value_si,
+ 'b': kin.arrheniusHigh.n.value_si,
+ 'Ea': kin.arrheniusHigh.Ea.value_si
+ }
+ entry['low-P-rate-constant'] = {
+ 'A': kin.arrheniusLow.A.value_si,
+ 'b': kin.arrheniusLow.n.value_si,
+ 'Ea': kin.arrheniusLow.Ea.value_si
+ }
+ troe_p = {'A': kin.alpha, 'T3': kin.T3.value_si, 'T1': kin.T1.value_si}
+ if kin.T2:
+ troe_p['T2'] = kin.T2.value_si
+ entry['Troe'] = troe_p
+ entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if
+ (lbl := get_label(m, species_list)) is not None}
+
+ elif isinstance(kin, Lindemann):
+ entry['type'] = 'falloff'
+ entry['high-P-rate-constant'] = {
+ 'A': kin.arrheniusHigh.A.value_si,
+ 'b': kin.arrheniusHigh.n.value_si,
+ 'Ea': kin.arrheniusHigh.Ea.value_si
+ }
+ entry['low-P-rate-constant'] = {
+ 'A': kin.arrheniusLow.A.value_si,
+ 'b': kin.arrheniusLow.n.value_si,
+ 'Ea': kin.arrheniusLow.Ea.value_si
+ }
+ entry['efficiencies'] = {lbl: v for m, v in kin.efficiencies.items() if
+ (lbl := get_label(m, species_list)) is not None}
+
+ elif isinstance(kin, PDepArrhenius):
+ # A MultiArrhenius entry comes from a chemkin PLOG block with duplicate
+ # pressures; expand it into one rate-constants entry per inner Arrhenius
+ # at the shared pressure. Cantera's pressure-dependent-Arrhenius sums
+ # duplicate-pressure entries at evaluation, matching chemkin semantics.
+ # Splitting into separate `duplicate: true` reactions would be wrong:
+ # that interpolates each component independently, then sums, which
+ # gives different rates at intermediate pressures.
+ entry['type'] = 'pressure-dependent-Arrhenius'
+ rates = []
+ for P, arr in zip(kin.pressures.value_si, kin.arrhenius):
+ sub_arrhenius = arr.arrhenius if isinstance(arr, MultiArrhenius) else [arr]
+ for sub in sub_arrhenius:
+ rates.append({
+ 'P': float(P),
+ 'A': sub.A.value_si,
+ 'b': sub.n.value_si,
+ 'Ea': sub.Ea.value_si
+ })
+ entry['rate-constants'] = rates
+
+ else:
+ logging.warning(f"Skipping reaction {equation}: Unknown kinetics type {type(kin)}")
+ return []
+
+ # Remove efficiencies dict if present but empty.
+ if 'efficiencies' in entry and not entry['efficiencies']:
+ del entry['efficiencies']
+
+ for rate_key in (
+ 'rate-constant',
+ 'high-P-rate-constant',
+ 'low-P-rate-constant',
+ 'sticking-coefficient',
+ ):
+ if entry.get(rate_key, {}).get('A', 0) < 0:
+ entry['negative-A'] = True
+ break
+
+ # --- Coverage Dependencies ---
+ if hasattr(kin, 'coverage_dependence') and kin.coverage_dependence:
+ cov_deps = {}
+ for sp, cov_params in kin.coverage_dependence.items():
+ sp_label = get_label(sp, species_list)
+ if sp_label:
+ # Cantera YAML expects { a: ..., m: ..., E: ... }
+ cov_deps[sp_label] = {
+ 'a': cov_params['a'].value_si,
+ 'm': cov_params['m'].value_si,
+ 'E': cov_params['E'].value_si
+ }
+ if cov_deps:
+ entry['coverage-dependencies'] = cov_deps
+
+ # --- Metadata / Notes ---
+ note_lines = list()
+ if isinstance(reaction, TemplateReaction):
+ note_lines.append(f"Template reaction: {reaction.family}")
+ elif isinstance(reaction, LibraryReaction):
+ note_lines.append(f"Library reaction: {reaction.library}")
+ elif isinstance(reaction, PDepReaction):
+ note_lines.append(f"PDep reaction: {reaction.network}")
+
+ if reaction.specific_collider:
+ note_lines.append(
+ f"Specific third body collider: {reaction.specific_collider.label}"
+ )
+
+ if getattr(reaction, "pairs", None):
+ pair_str = "Flux pairs: " + "; ".join(
+ f"{get_label(p[0], species_list)}, {get_label(p[1], species_list)}"
+ for p in reaction.pairs
+ )
+ note_lines.append(pair_str)
+
+ if hasattr(kin, "comment") and kin.comment:
+ for line in kin.comment.strip("\n").split("\n"):
+ note_lines.append(line.rstrip())
+
+ if note_lines:
+ entry["note"] = "\n".join(line.rstrip() for line in note_lines) + "\n"
+
+ return [entry]
+
+
+def get_reaction_equation(reaction, species_list):
+ """Helper to build reaction string"""
+ reactants_str = " + ".join([get_label(r, species_list) for r in reaction.reactants])
+ products_str = " + ".join([get_label(p, species_list) for p in reaction.products])
+
+ suffix = ""
+ kin = reaction.kinetics
+ collider = getattr(reaction, 'specific_collider', None)
+ if isinstance(kin, ThirdBody):
+ # Real three-body reaction: M (or specific collider) without parentheses.
+ m_label = get_label(collider, species_list) if collider else "M"
+ suffix = " + " + m_label
+ elif isinstance(kin, (Lindemann, Troe)):
+ # Pressure-dependent falloff: M acts as a chaperone, written in parens.
+ m_label = get_label(collider, species_list) if collider else "M"
+ suffix = " (+" + m_label + ")"
+
+ arrow = " <=> " if reaction.reversible else " => "
+ return reactants_str + suffix + arrow + products_str + suffix
+
+
+def get_label(obj: Union['Species', 'Molecule'], species_list: list['Species']):
+ if isinstance(obj, Species):
+ return f'{obj.label}({obj.index})' if obj.index > 0 else obj.label
+
+ if species_list:
+ for sp in species_list:
+ if sp.is_isomorphic(obj):
+ return f'{sp.label}({sp.index})' if sp.index > 0 else sp.label
+ return None
diff --git a/rmgpy/yml.py b/rmgpy/yaml_rms.py
similarity index 95%
rename from rmgpy/yml.py
rename to rmgpy/yaml_rms.py
index 8b6e9f771f4..54169fabdd1 100644
--- a/rmgpy/yml.py
+++ b/rmgpy/yaml_rms.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -33,6 +33,10 @@
"""
import os
+try:
+ from yaml import CDumper as Dumper
+except ImportError:
+ from yaml import Dumper
import yaml
import logging
@@ -49,7 +53,7 @@
from rmgpy.util import make_output_subdirectory
-def convert_chemkin_to_yml(chemkin_path, dictionary_path=None, output="chem.rms"):
+def convert_chemkin_to_rms(chemkin_path, dictionary_path=None, output="chem.rms"):
if dictionary_path:
spcs, rxns = load_chemkin_file(chemkin_path, dictionary_path=dictionary_path)
else:
@@ -57,10 +61,10 @@ def convert_chemkin_to_yml(chemkin_path, dictionary_path=None, output="chem.rms"
write_yml(spcs, rxns, path=output)
-def write_yml(spcs, rxns, solvent=None, solvent_data=None, path="chem.yml"):
+def write_rms(spcs, rxns, solvent=None, solvent_data=None, path="chem.rms"):
result_dict = get_mech_dict(spcs, rxns, solvent=solvent, solvent_data=solvent_data)
with open(path, 'w') as f:
- yaml.dump(result_dict, stream=f)
+ yaml.dump(result_dict, stream=f, Dumper=Dumper, sort_keys=False)
def get_mech_dict(spcs, rxns, solvent='solvent', solvent_data=None):
@@ -270,14 +274,18 @@ class RMSWriter(object):
rmg.detach(listener)
"""
- def __init__(self, output_directory=''):
+ def __init__(self, output_directory='', config=None):
super(RMSWriter, self).__init__()
self.output_directory = output_directory
+ self.config = config
make_output_subdirectory(output_directory, 'rms')
def update(self, rmg):
+ if self.config is not None and not self.config.should_write(
+ rmg.reaction_model.iteration_num, rmg.is_final_save):
+ return
solvent_data = None
if rmg.solvent:
solvent_data = rmg.database.solvation.get_solvent_data(rmg.solvent)
- write_yml(rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, solvent=rmg.solvent, solvent_data=solvent_data,
+ write_rms(rmg.reaction_model.core.species, rmg.reaction_model.core.reactions, solvent=rmg.solvent, solvent_data=solvent_data,
path=os.path.join(self.output_directory, 'rms', 'chem{}.rms').format(len(rmg.reaction_model.core.species)))
diff --git a/scripts/checkModels.py b/scripts/checkModels.py
index 6d5f37cb94f..45aab41c1bf 100644
--- a/scripts/checkModels.py
+++ b/scripts/checkModels.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/diffModels.py b/scripts/diffModels.py
index daf77a9da44..22d875b6a10 100644
--- a/scripts/diffModels.py
+++ b/scripts/diffModels.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/generateChemkinHTML.py b/scripts/generateChemkinHTML.py
index 11c546cd4d0..2d58bff2a3b 100644
--- a/scripts/generateChemkinHTML.py
+++ b/scripts/generateChemkinHTML.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/generateFluxDiagram.py b/scripts/generateFluxDiagram.py
index bf3556f426c..2e7ba40f4bd 100644
--- a/scripts/generateFluxDiagram.py
+++ b/scripts/generateFluxDiagram.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/generateReactions.py b/scripts/generateReactions.py
index dee87c46a60..2796381667e 100644
--- a/scripts/generateReactions.py
+++ b/scripts/generateReactions.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/generateTree.py b/scripts/generateTree.py
index 262468384c2..1aab3bf5cd1 100644
--- a/scripts/generateTree.py
+++ b/scripts/generateTree.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/isotopes.py b/scripts/isotopes.py
index 1be934e10db..e22782840b9 100644
--- a/scripts/isotopes.py
+++ b/scripts/isotopes.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/machineWriteDatabase.py b/scripts/machineWriteDatabase.py
index e2e43e90a18..3dc8c9991b0 100644
--- a/scripts/machineWriteDatabase.py
+++ b/scripts/machineWriteDatabase.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/mergeModels.py b/scripts/mergeModels.py
index 5e30162abe9..11555a5bc6f 100644
--- a/scripts/mergeModels.py
+++ b/scripts/mergeModels.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/rmg2to3.py b/scripts/rmg2to3.py
index a2e9a3db005..0abc81c3b44 100644
--- a/scripts/rmg2to3.py
+++ b/scripts/rmg2to3.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -1062,7 +1062,7 @@
'processToSpeciesNetworks': 'process_to_species_networks',
'processPdepNetworks': 'process_pdep_networks',
'processReactionsToSpecies': 'process_reactions_to_species',
- 'generateCanteraFiles': 'generate_cantera_files',
+ 'generateCanteraFiles': 'generate_cantera_files_from_chemkin',
'initializeReactionThresholdAndReactFlags': 'initialize_reaction_threshold_and_react_flags',
'updateReactionThresholdAndReactFlags': 'update_reaction_threshold_and_react_flags',
'saveEverything': 'save_everything',
@@ -1796,7 +1796,6 @@
# rmgpy.tools.isotopes
'useOriginalReactions': 'use_original_reactions',
'kineticIsotopeEffect': 'kinetic_isotope_effect',
- 'maximumIsotopicAtoms': 'maximum_isotopic_atoms',
# rmgpy.tools.loader
'generateImages': 'generate_images',
'useJava': 'use_java',
diff --git a/scripts/simulate.py b/scripts/simulate.py
index a07bc64d841..74de992f520 100644
--- a/scripts/simulate.py
+++ b/scripts/simulate.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/standardizeModelSpeciesNames.py b/scripts/standardizeModelSpeciesNames.py
index 8d26712c515..452d38fb2ae 100644
--- a/scripts/standardizeModelSpeciesNames.py
+++ b/scripts/standardizeModelSpeciesNames.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/scripts/thermoEstimator.py b/scripts/thermoEstimator.py
index a445a9410ba..46a9d4ed7d8 100644
--- a/scripts/thermoEstimator.py
+++ b/scripts/thermoEstimator.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
diff --git a/setup.py b/setup.py
index 78a8e3eeda5..5c190b6879b 100644
--- a/setup.py
+++ b/setup.py
@@ -4,7 +4,7 @@
# #
# RMG - Reaction Mechanism Generator #
# #
-# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
# #
# Permission is hereby granted, free of charge, to any person obtaining a #
@@ -27,8 +27,26 @@
# #
###############################################################################
+import sys
+
from setuptools import setup
-
+
+# On macOS, conda-forge Python bakes duplicate -Wl,-rpath flags into its sysconfig data,
+# which causes every compiled extension to have duplicate LC_RPATH Mach-O load commands
+# that macOS rejects on import. Deduplicate the linker flags here, before Cython
+# generates any .so files, so they are built clean. This patches the live dict that
+# setuptools reads during build_ext, keeping the conda env itself untouched.
+if sys.platform == 'darwin':
+ import sysconfig as _sysconfig
+ _cv = _sysconfig.get_config_vars()
+ for _k in ('LDFLAGS', 'LDSHARED', 'BLDSHARED', 'PY_LDFLAGS'):
+ _v = _cv.get(_k) or ''
+ if _v:
+ _seen: set = set()
+ _cv[_k] = ' '.join(x for x in _v.split() if not (x in _seen or _seen.add(x)))
+ if _v != _cv[_k]:
+ print(f"Deduplicated {_k} from '{_v}' to '{_cv[_k]}'")
+
try:
from Cython.Build import cythonize
from Cython.Compiler import Options
@@ -146,7 +164,7 @@
author='William H. Green and the RMG Team',
author_email='rmg_dev@mit.edu',
url='https://reactionmechanismgenerator.github.io',
- python_requires='>=3.9,<3.10',
+ python_requires='>=3.9,<3.12',
packages=find_packages(where='.', include=["rmgpy*"]) + find_packages(where='.', include=["arkane*"]),
scripts=scripts,
entry_points={
diff --git a/test/arkane/arkaneOutputTest.py b/test/arkane/arkaneOutputTest.py
index adde2c6873a..fa1347765d8 100644
--- a/test/arkane/arkaneOutputTest.py
+++ b/test/arkane/arkaneOutputTest.py
@@ -146,8 +146,8 @@ def test_prettify(self):
],
'kJ/mol',
),
- quantum = None,
- semiclassical = None,
+ quantum = True,
+ semiclassical = False,
),
],
spin_multiplicity = 2,
diff --git a/test/arkane/commonTest.py b/test/arkane/commonTest.py
index 9afec8f5917..336a8c3343b 100644
--- a/test/arkane/commonTest.py
+++ b/test/arkane/commonTest.py
@@ -110,132 +110,121 @@ def setup_class(cls):
arkane = Arkane()
job_list = arkane.load_input_file(os.path.join(os.path.dirname(os.path.abspath(__file__)), "..", "..", "arkane", "data", "methoxy.py"))
pdepjob = job_list[-1]
+ cls.pdepjob = pdepjob
cls.kineticsjob = job_list[0]
pdepjob.active_j_rotor = True
network = pdepjob.network
- cls.Nisom = len(network.isomers)
- cls.Nreac = len(network.reactants)
- cls.Nprod = len(network.products)
- cls.Npath = len(network.path_reactions)
- cls.PathReaction2 = network.path_reactions[2]
- cls.TminValue = pdepjob.Tmin.value
- cls.Tmaxvalue = pdepjob.Tmax.value
- cls.TmaxUnits = pdepjob.Tmax.units
- cls.TlistValue = pdepjob.Tlist.value
- cls.PminValue = pdepjob.Pmin.value
- cls.Pcount = pdepjob.Pcount
- cls.Tcount = pdepjob.Tcount
- cls.GenTlist = pdepjob.generate_T_list()
- cls.PlistValue = pdepjob.Plist.value
- cls.maximum_grain_size_value = pdepjob.maximum_grain_size.value
- cls.method = pdepjob.method
- cls.rmgmode = pdepjob.rmgmode
+ cls.network = network
# test Arkane's interactions with the network module
def test_num_isom(self):
"""
Test the number of isomers identified.
"""
- assert self.Nisom == 2
+ assert len(self.network.isomers) == 2
def test_num_reac(self):
"""
Test the number of reactants identified.
"""
- assert self.Nreac == 1
+ assert len(self.network.reactants) == 1
def test_num_prod(self):
"""
Test the number of products identified.
"""
- assert self.Nprod == 1
+ assert len(self.network.products) == 1
def test_n_path_reactions(self):
"""
Test the whether or not RMG mode is turned on.
"""
- assert self.Npath == 3
+ assert len(self.network.path_reactions) == 3
def test_path_reactions(self):
"""
Test a path reaction label
"""
- assert str(self.PathReaction2) == "CH2OH <=> methoxy"
+ assert str(self.network.path_reactions[2]) == "CH2OH <=> methoxy"
# test Arkane's interactions with the pdep module
def test_temperatures_units(self):
"""
Test the Temperature Units.
"""
- assert str(self.TmaxUnits) == "K"
+ assert str(self.pdepjob.Tmax.units) == "K"
- def test_temperatures_value(self):
+ def test_temperatures_limits(self):
"""
- Test the temperature value.
+ Test the temperature limits.
"""
- assert self.TminValue == 450.0
+ assert self.pdepjob.Tmin.value_si == 450.0
+ assert self.pdepjob.Tmax.value_si == 1200.0
def test_temperatures_list(self):
"""
Test the temperature list.
"""
- assert np.array_equal(self.TlistValue, np.array([450, 500, 678, 700]))
+ assert np.array_equal(self.pdepjob.Tlist.value_si, np.array([450, 500, 678, 700]))
- def test_min_pressure_value(self):
+ def test_pressure_limits(self):
"""
- Test the minimum pressure value.
+ Test the pressure limits.
"""
- assert "%0.7f" % self.PminValue == str(0.0101325)
+ assert self.pdepjob.Pmin.value_si == 1013.25 # Pa
+ assert self.pdepjob.Pmax.value_si == 101325000.0 # Pa
def test_pressure_count(self):
"""
Test the number pressures specified.
"""
- assert self.Pcount == 7
+ assert self.pdepjob.Pcount == 7
def test_temperature_count(self):
"""
Test the number temperatures specified.
"""
- assert self.Tcount == 4
+ assert self.pdepjob.Tcount == 4
def test_pressure_list(self):
"""
Test the pressure list.
"""
- assert np.array_equal(self.PlistValue, np.array([0.01, 0.1, 1, 3, 10, 100, 1000]))
+ assert np.array_equal(self.pdepjob.Plist.value, np.array([0.01, 0.1, 1, 3, 10, 100, 1000]))
+ assert self.pdepjob.Plist.units == 'atm'
def test_generate_temperature_list(self):
"""
Test the generated temperature list.
"""
- assert list(self.GenTlist) == [450.0, 500.0, 678.0, 700.0]
+ assert list(self.pdepjob.generate_T_list()) == [450.0, 500.0, 678.0, 700.0]
def test_maximum_grain_size_value(self):
"""
Test the max grain size value.
"""
- assert self.maximum_grain_size_value == 0.5
+ assert self.pdepjob.maximum_grain_size.value == 0.5
+ assert self.pdepjob.maximum_grain_size.units == 'kcal/mol'
def test_method(self):
"""
Test the master equation solution method chosen.
"""
- assert self.method == "modified strong collision"
+ assert self.pdepjob.method == "modified strong collision"
def test_rmg_mode(self):
"""
Test the whether or not RMG mode is turned on.
"""
- assert self.rmgmode == False
+ assert self.pdepjob.rmgmode == False
# Test Arkane's interactions with the kinetics module
def test_calculate_tst_rate_coefficient(self):
"""
Test the calculation of the high-pressure limit rate coef for one of the kinetics jobs at Tmin and Tmax.
"""
- assert "%0.7f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(self.TminValue) == str(46608.5904933)
- assert "%0.5f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(self.Tmaxvalue) == str(498796.64535)
+ assert "%0.7f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(450.0) == str(46608.5904933)
+ assert "%0.5f" % self.kineticsjob.reaction.calculate_tst_rate_coefficient(700.0) == str(498796.64535)
def test_tunneling(self):
"""
diff --git a/test/arkane/ess/arkaneGaussianTest.py b/test/arkane/ess/arkaneGaussianTest.py
index 8109b708a96..6c2a0bdc632 100644
--- a/test/arkane/ess/arkaneGaussianTest.py
+++ b/test/arkane/ess/arkaneGaussianTest.py
@@ -93,10 +93,10 @@ def test_load_ethylene_from_gaussian_log_cbsqb3(self):
trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0]
rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0]
vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0]
- t_list = np.array([298.15], float)
- assert abs(trans.get_partition_function(t_list) - 5.83338e6) < 1e1
- assert abs(rot.get_partition_function(t_list) - 2.59622e3) < 1e-2
- assert abs(vib.get_partition_function(t_list) - 1.0481e0) < 1e-4
+ t = 298.15
+ assert abs(trans.get_partition_function(t) - 5.83338e6) < 1e1
+ assert abs(rot.get_partition_function(t) - 2.59622e3) < 1e-2
+ assert abs(vib.get_partition_function(t) - 1.0481e0) < 1e-4
assert round(abs(e0 / constants.Na / constants.E_h - -78.467452), 4) == 0
assert conformer.spin_multiplicity == 1
@@ -152,10 +152,10 @@ def test_load_oxygen_from_gaussian_log(self):
trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0]
rot = [mode for mode in conformer.modes if isinstance(mode, LinearRotor)][0]
vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0]
- t_list = np.array([298.15], float)
- assert abs(trans.get_partition_function(t_list) - 7.11169e6) < 1e1
- assert abs(rot.get_partition_function(t_list) - 7.13316e1) < 1e-4
- assert abs(vib.get_partition_function(t_list) - 1.00037e0) < 1e-4
+ t = 298.15
+ assert abs(trans.get_partition_function(t) - 7.11169e6) < 1e1
+ assert abs(rot.get_partition_function(t) - 7.13316e1) < 1e-4
+ assert abs(vib.get_partition_function(t) - 1.00037e0) < 1e-4
assert round(abs(e0 / constants.Na / constants.E_h - -150.3784877), 4) == 0
assert conformer.spin_multiplicity == 3
@@ -180,11 +180,10 @@ def test_load_ethylene_from_gaussian_log_g3(self):
trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0]
rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0]
vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0]
- t_list = np.array([298.15], float)
-
- assert abs(trans.get_partition_function(t_list) - 5.83338e6) < 1e1
- assert abs(rot.get_partition_function(t_list) - 2.53410e3) < 1e-2
- assert abs(vib.get_partition_function(t_list) - 1.0304e0) < 1e-4
+ t = 298.15
+ assert abs(trans.get_partition_function(t) - 5.83338e6) < 1e1
+ assert abs(rot.get_partition_function(t) - 2.53410e3) < 1e-2
+ assert abs(vib.get_partition_function(t) - 1.0304e0) < 1e-4
assert round(abs(e0 / constants.Na / constants.E_h - -78.562189), 4) == 0
assert conformer.spin_multiplicity == 1
diff --git a/test/arkane/ess/molproTest.py b/test/arkane/ess/molproTest.py
index 36a121f6238..afeb864fce2 100644
--- a/test/arkane/ess/molproTest.py
+++ b/test/arkane/ess/molproTest.py
@@ -34,8 +34,6 @@
import os
-import numpy as np
-
import rmgpy.constants as constants
from rmgpy.statmech import (
IdealGasTranslation,
@@ -129,11 +127,10 @@ def test_load_hosi_from_molpro_log(self):
trans = [mode for mode in conformer.modes if isinstance(mode, IdealGasTranslation)][0]
rot = [mode for mode in conformer.modes if isinstance(mode, NonlinearRotor)][0]
vib = [mode for mode in conformer.modes if isinstance(mode, HarmonicOscillator)][0]
- t_list = np.array([298.15], float)
-
- assert abs(trans.get_partition_function(t_list) - 9.175364e7) < 1e1
- assert abs(rot.get_partition_function(t_list) - 1.00005557e5) < 1e-2
- assert abs(vib.get_partition_function(t_list) - 1.9734989e0) < 1e-4
+ t = 298.15
+ assert abs(trans.get_partition_function(t) - 9.175364e7) < 1e1
+ assert abs(rot.get_partition_function(t) - 1.00005557e5) < 1e-2
+ assert abs(vib.get_partition_function(t) - 1.9734989e0) < 1e-4
assert round(abs(e0 / constants.Na / constants.E_h - -768.275662), 4) == 0
assert conformer.spin_multiplicity == 1
diff --git a/test/arkane/ess/xtbTest.py b/test/arkane/ess/xtbTest.py
new file mode 100644
index 00000000000..5a11e499a7e
--- /dev/null
+++ b/test/arkane/ess/xtbTest.py
@@ -0,0 +1,348 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""Tests for the xTB ESS adapter."""
+
+import os
+
+import numpy as np
+import pytest
+
+import rmgpy.constants as constants
+from arkane.exceptions import LogError
+from arkane.ess.factory import ess_factory
+from arkane.ess.xtb import XTBLog
+
+DATA_PATH = os.path.join(os.path.dirname(os.path.dirname(__file__)), '..', '..', 'arkane', 'data', 'xTB')
+
+
+class TestFactory:
+
+ def test_detects_freq(self):
+ assert isinstance(ess_factory(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False), XTBLog)
+
+ def test_detects_opt(self):
+ assert isinstance(ess_factory(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False), XTBLog)
+
+ def test_detects_co2(self):
+ assert isinstance(ess_factory(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False), XTBLog)
+
+ def test_detects_ts(self):
+ assert isinstance(ess_factory(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False), XTBLog)
+
+ def test_detects_sp(self):
+ assert isinstance(ess_factory(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False), XTBLog)
+
+
+class TestGetNumberOfAtoms:
+
+ def test_freq_c3h7(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ assert log.get_number_of_atoms() == 10
+
+ def test_opt_c3h7(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ assert log.get_number_of_atoms() == 10
+
+ def test_co2(self):
+ """CO2 opt+freq output (Turbomol $coord format)."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ assert log.get_number_of_atoms() == 3
+
+ def test_opt2_c3h11(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_2.out'), check_for_errors=False)
+ assert log.get_number_of_atoms() == 11
+
+
+class TestGeometryV2000:
+
+ def test_opt_c3h7_shape(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ coord, number, mass = log.load_geometry()
+ assert coord.shape == (10, 3)
+ assert len(number) == 10
+
+ def test_opt_c3h7_atoms(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ _, number, _ = log.load_geometry()
+ assert list(number[:3]) == [6, 6, 6]
+ assert all(n == 1 for n in number[3:])
+
+ def test_opt_c3h7_coords(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ coord, _, _ = log.load_geometry()
+ np.testing.assert_allclose(coord[0], [-1.2948, 0.0509, -0.1043], atol=1e-4)
+
+ def test_opt2_v2000(self):
+ """xtb_opt_2.out uses V2000 format with 11 atoms."""
+ log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_2.out'), check_for_errors=False)
+ coord, number, mass = log.load_geometry()
+ assert coord.shape == (11, 3)
+ assert sum(number == 6) == 3 # 3 carbons
+ assert sum(number == 1) == 8 # 8 hydrogens
+
+
+class TestGeometryTurbomol:
+
+ def test_co2_shape(self):
+ """CO2 opt output uses $coord (Bohr) format."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ coord, number, mass = log.load_geometry()
+ assert coord.shape == (3, 3)
+
+ def test_co2_atoms(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ _, number, _ = log.load_geometry()
+ assert list(number) == [8, 6, 8] # O, C, O
+
+ def test_co2_linearity(self):
+ """CO2 should be linear — central C at ~origin, O atoms symmetric."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ coord, _, _ = log.load_geometry()
+ # Central carbon should be near origin
+ assert abs(coord[1, 0]) < 0.01
+ # O atoms should be roughly symmetric about C
+ np.testing.assert_allclose(coord[0, 0], -coord[2, 0], atol=0.01)
+
+ def test_opt1_turbomol(self):
+ """xtb_opt_1.out uses $coord Turbomol format with 8 atoms."""
+ log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_1.out'), check_for_errors=False)
+ coord, number, mass = log.load_geometry()
+ assert coord.shape == (8, 3)
+ assert sum(number == 6) == 3 # 3 C
+ assert sum(number == 8) == 1 # 1 O
+ assert sum(number == 1) == 4 # 4 H
+
+ def test_opt1_units_are_angstrom(self):
+ """Verify Bohr→Angstrom conversion: C-O bond ~1.14 Å, not ~2.16 Bohr."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ coord, _, _ = log.load_geometry()
+ co_dist = np.linalg.norm(coord[0] - coord[1])
+ assert 1.0 < co_dist < 1.3 # C=O bond is ~1.14 Å
+
+
+class TestGeometryFreqOnly:
+
+ def test_freq_only_raises(self):
+ """Freq-only (--hess) output has no embedded geometry."""
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(LogError):
+ log.load_geometry()
+
+
+class TestEnergy:
+
+ def test_freq_c3h7(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ energy = log.load_energy()
+ expected = -9.907945789911 * constants.E_h * constants.Na
+ assert abs(energy - expected) < abs(expected) * 1e-6
+
+ def test_opt_c3h7(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ energy = log.load_energy()
+ expected = -9.907945789911 * constants.E_h * constants.Na
+ assert abs(energy - expected) < abs(expected) * 1e-6
+
+ def test_co2(self):
+ """CO2: total energy -10.308452243026 Eh."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ energy = log.load_energy()
+ expected = -10.308452243026 * constants.E_h * constants.Na
+ assert abs(energy - expected) < abs(expected) * 1e-6
+
+ def test_sp_ncc(self):
+ """Single point NCC: -10.752192838993 Eh."""
+ log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False)
+ energy = log.load_energy()
+ expected = -10.752192838993 * constants.E_h * constants.Na
+ assert abs(energy - expected) < abs(expected) * 1e-6
+
+ def test_ts(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False)
+ energy = log.load_energy()
+ assert energy < 0 # should be negative
+
+ def test_units_j_per_mol(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ energy = log.load_energy()
+ assert energy < 0
+ assert abs(energy) > 1e6 # millions of J/mol
+
+
+class TestZPE:
+
+ def test_freq_c3h7(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ zpe = log.load_zero_point_energy()
+ expected = 0.086665171024 * constants.E_h * constants.Na
+ assert abs(zpe - expected) < abs(expected) * 1e-6
+ assert zpe > 0
+
+ def test_ts_zpe(self):
+ """TS_NH2+N2H3: ZPE = 0.056690417480 Eh."""
+ log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False)
+ zpe = log.load_zero_point_energy()
+ expected = 0.056690417480 * constants.E_h * constants.Na
+ assert abs(zpe - expected) < abs(expected) * 1e-6
+
+ def test_opt_only_raises(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ with pytest.raises(LogError):
+ log.load_zero_point_energy()
+
+ def test_sp_raises(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False)
+ with pytest.raises(LogError):
+ log.load_zero_point_energy()
+
+
+class TestFrequencies:
+
+ def test_c3h7_count(self):
+ """C3H7 (10 atoms): 3*10 - 6 = 24 real vibrational modes."""
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ freqs = log._load_frequencies()
+ assert len(freqs) == 24
+
+ def test_c3h7_values(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ freqs = log._load_frequencies()
+ assert abs(freqs[0] - 63.60) < 0.1
+ assert abs(freqs[-1] - 3104.88) < 0.1
+ assert all(f > 0 for f in freqs)
+
+ def test_co2_frequencies(self):
+ """CO2 (3 atoms, linear): 3*3 - 5 = 4 real modes."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ freqs = log._load_frequencies()
+ np.testing.assert_allclose(freqs, [600.70, 600.70, 1424.29, 2592.18], atol=0.01)
+
+ def test_ts_frequencies(self):
+ """TS should have real frequencies (imaginary excluded by _load_frequencies)."""
+ log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False)
+ freqs = log._load_frequencies()
+ assert all(f > 0 for f in freqs)
+ # TS has 8 atoms, 3*8 - 6 - 1(imaginary) = 17 real modes
+ assert len(freqs) == 17
+
+ def test_opt_only_no_freqs(self):
+ """Optimization-only output without --hess should have no frequencies."""
+ log = XTBLog(os.path.join(DATA_PATH, 'NCC_xTB.out'), check_for_errors=False)
+ freqs = log._load_frequencies()
+ assert freqs == []
+
+
+class TestNegativeFrequency:
+
+ def test_ts_imaginary(self):
+ """TS_NH2+N2H3 should have one imaginary frequency at ~-781.89 cm^-1."""
+ log = XTBLog(os.path.join(DATA_PATH, 'TS_NH2+N2H3_xtb.out'), check_for_errors=False)
+ neg_freq = log.load_negative_frequency()
+ assert abs(neg_freq - (-781.89)) < 0.1
+
+ def test_stable_molecule_raises(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(LogError):
+ log.load_negative_frequency()
+
+
+class TestSpinMultiplicity:
+
+ def test_c3h7_doublet(self):
+ """C3H7 radical: spin=0.5, multiplicity=2."""
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ assert log._load_spin_multiplicity() == 2
+
+ def test_co2_singlet(self):
+ """CO2 closed-shell: should default to singlet."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ mult = log._load_spin_multiplicity()
+ assert mult == 1
+
+
+class TestConformer:
+
+ def test_opt_c3h7(self):
+ """Conformer from optimization output (has geometry, no freqs)."""
+ log = XTBLog(os.path.join(DATA_PATH, 'output.out'), check_for_errors=False)
+ conformer, unscaled_freqs = log.load_conformer(
+ symmetry=1, spin_multiplicity=2, optical_isomers=1, label='C3H7')
+ assert conformer.spin_multiplicity == 2
+ assert conformer.optical_isomers == 1
+ mode_types = [type(m).__name__ for m in conformer.modes]
+ assert 'IdealGasTranslation' in mode_types
+ assert 'NonlinearRotor' in mode_types
+
+ def test_co2_linear_rotor(self):
+ """CO2 is linear — conformer should have LinearRotor."""
+ log = XTBLog(os.path.join(DATA_PATH, 'CO2_xtb.out'), check_for_errors=False)
+ conformer, freqs = log.load_conformer(
+ symmetry=2, spin_multiplicity=1, optical_isomers=1, label='CO2')
+ mode_types = [type(m).__name__ for m in conformer.modes]
+ assert 'LinearRotor' in mode_types
+ assert 'HarmonicOscillator' in mode_types
+ assert len(freqs) == 4 # CO2: 4 real modes
+
+ def test_opt1_turbomol(self):
+ """Conformer from Turbomol $coord geometry."""
+ log = XTBLog(os.path.join(DATA_PATH, 'xtb_opt_1.out'), check_for_errors=False)
+ conformer, freqs = log.load_conformer(
+ symmetry=1, spin_multiplicity=1, optical_isomers=1, label='test')
+ assert conformer is not None
+ mode_types = [type(m).__name__ for m in conformer.modes]
+ assert 'IdealGasTranslation' in mode_types
+
+ def test_freq_only_raises(self):
+ """Freq-only output can't build conformer (no geometry)."""
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(LogError):
+ log.load_conformer(symmetry=1, spin_multiplicity=2, optical_isomers=1)
+
+
+class TestUnsupported:
+
+ def test_force_constant_matrix(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ assert log.load_force_constant_matrix() is None
+
+ def test_scan_energies(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(NotImplementedError):
+ log.load_scan_energies()
+
+ def test_scan_pivot_atoms(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(NotImplementedError):
+ log.load_scan_pivot_atoms()
+
+ def test_scan_frozen_atoms(self):
+ log = XTBLog(os.path.join(DATA_PATH, 'freq.out'), check_for_errors=False)
+ with pytest.raises(NotImplementedError):
+ log.load_scan_frozen_atoms()
diff --git a/test/database/databaseTest.py b/test/database/databaseTest.py
index 3663af56f01..5e772bc46b6 100644
--- a/test/database/databaseTest.py
+++ b/test/database/databaseTest.py
@@ -46,7 +46,7 @@
from rmgpy.data.base import LogicOr
from rmgpy.data.rmg import RMGDatabase
from rmgpy.exceptions import ImplicitBenzeneError, UnexpectedChargeError
-from rmgpy.molecule import Group
+from rmgpy.molecule import Group, Molecule
from rmgpy.molecule.atomtype import ATOMTYPES
from rmgpy.molecule.pathfinder import find_shortest_path
from rmgpy.quantity import ScalarQuantity
@@ -241,7 +241,27 @@ def test_thermo(self):
assert self.check_surface_thermo_libraries_have_surface_attributes(
library_name, library
), "Thermo surface libraries {0}: Entry has metal attributes?".format(library_name)
-
+
+ with check:
+ assert len(self.database.thermo.sidts) > 0, "SIDT thermochemistry models did not load?"
+
+ for name,tree in self.database.thermo.sidts.items():
+ tagging = self.database.thermo.sidt_taggings_and_decompositions[name]
+ if "monodentate" in name:
+ tmol = Molecule(smiles="C*")
+ tagging(tmol)
+ tree.evaluate(tmol)
+ elif "bidentate" in name:
+ tmol = Molecule(smiles="*CC*")
+ tagging(tmol)
+ tree.evaluate(tmol)
+ elif "vdw" in name:
+ tmol = Molecule(smiles="C.*")
+ tagging(tmol)
+ tree.evaluate(tmol)
+ else:
+ pass
+
def test_solvation(self):
for group_name, group in self.database.solvation.groups.items():
with check:
@@ -463,12 +483,12 @@ def kinetics_check_surface_library_reactions_have_surface_attributes(self, libra
failed = False
if "_Pt" in library.label:
for entry in entries:
- if entry.metal is not "Pt":
+ if entry.metal != "Pt":
logging.error(f"Expected {entry} metal attribute in {library} library to match Pt, but was {entry.metal}")
failed = True
if "_Ni" in library.label:
for entry in entries:
- if entry.metal is not "Ni":
+ if entry.metal != "Ni":
logging.error(f"Expected {entry} metal attribute in {library} library to match Ni, but was {entry.metal}")
failed = True
for entry in entries:
@@ -1090,7 +1110,7 @@ def kinetics_check_cd_atom_type(self, family_name):
continue
# Create list of all the atomTypes that should be present in addition or instead of Cd
correct_atom_list = []
- num_of_d_bonds = sum([1 if x.order[0] is "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()])
+ num_of_d_bonds = sum([1 if x.order[0] == "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()])
if num_of_d_bonds == 2:
correct_atom_list.append("Cdd")
elif num_of_d_bonds == 1:
@@ -1557,7 +1577,22 @@ def make_error_message(reactants, message=""):
output += "\n" + s.to_adjacency_list(label=s.to_smiles())
return output
- if len(sample_reactants) == 1 == len(family.forward_template.reactants):
+ expected_reactants = [str(r) for r in family.forward_template.reactants]
+ roots_with_samples = [str(k) for k in sample_reactants.keys()]
+ roots_without_samples = [r for r in expected_reactants if r not in roots_with_samples]
+ if len(sample_reactants) != len(family.forward_template.reactants):
+ # One or more reactant roots produced no usable sample molecule (every candidate was
+ # forbidden by is_molecule_forbidden, or raised UnexpectedChargeError/
+ # ImplicitBenzeneError during make_sample_molecule). Record a descriptive error so it
+ # is logged below alongside any per-sample errors, instead of raising opaquely here.
+ test1.append(
+ f"In family {family_name}, {len(roots_without_samples)} reactant root(s) produced "
+ f"no usable sample molecule: {roots_without_samples}. The family template expects "
+ f"{len(expected_reactants)} reactant(s) {expected_reactants}; only these root(s) "
+ f"yielded samples: {roots_with_samples}. Check the group definitions for the "
+ f"missing reactant root(s)."
+ )
+ elif len(sample_reactants) == 1:
reactants = list(sample_reactants.values())[0]
for reactant in reactants:
try:
@@ -1650,7 +1685,13 @@ def make_error_message(reactants, message=""):
species = rmgpy.species.Species(index=1, molecule=[molecule])
species.generate_resonance_structures()
else:
- raise ValueError(f"Family had {len(sample_reactants)} reactants?: " f"{', '.join(map(str,sample_reactants.keys())) }")
+ # Reactant count matches the template but is not 1, 2, or 3 (RMG only supports up to
+ # trimolecular). This is not expected for any well-formed family.
+ raise ValueError(
+ f"In family {family_name}, the number of sampled reactant roots "
+ f"({len(sample_reactants)}) matches the template reactant count but is not 1, 2, "
+ f"or 3, which is unexpected: {roots_with_samples}."
+ )
# print out entries skipped from exception we can't currently handle
if skipped:
@@ -1675,11 +1716,11 @@ def check_surface_thermo_groups_have_surface_attributes(self, group_name, group)
for entry in group.entries.values():
if isinstance(entry.data, rmgpy.thermo.thermodata.ThermoData):
if "Pt" in group_name:
- if entry.metal is not "Pt":
+ if entry.metal != "Pt":
logging.error(f"Expected {entry} metal attribute in {group_name} group to match Pt, but was {entry.metal}")
failed = True
if "111" in group_name:
- if entry.facet is not "111":
+ if entry.facet != "111":
logging.error(f"Expected {entry} facet attribute in {group_name} group to match 111, but was {entry.facet}")
failed = True
if not entry.metal:
@@ -1701,15 +1742,15 @@ def check_surface_thermo_libraries_have_surface_attributes(self, library_name, l
failed = False
for entry in library.entries.values():
if "Pt" in library_name:
- if entry.metal is not "Pt":
+ if entry.metal != "Pt":
logging.error(f"Expected {entry} metal attribute in {library_name} library to match Pt, but was {entry.metal}")
failed = True
if "Ni" in library_name:
- if entry.metal is not "Ni":
+ if entry.metal != "Ni":
logging.error(f"Expected {entry} metal attribute in {library_name} library to match Ni, but was {entry.metal}")
failed = True
if "111" in library_name:
- if entry.facet is not "111":
+ if entry.facet != "111":
logging.error(f"Expected {entry} facet attribute in {library_name} library to match 111, but was {entry.facet}")
failed = True
if not entry.metal:
@@ -1929,7 +1970,7 @@ def general_check_cd_atom_type(self, group_name, group):
continue
# figure out what the correct atomtype is
correct_atom_list = []
- num_of_d_bonds = sum([1 if x.order[0] is "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()])
+ num_of_d_bonds = sum([1 if x.order[0] == "D" and len(x.order) == 1 else 0 for x in atom.bonds.values()])
if num_of_d_bonds == 2:
correct_atom_list.append("Cdd")
elif num_of_d_bonds == 1:
diff --git a/test/rmgpy/cantera_yaml_comparer.py b/test/rmgpy/cantera_yaml_comparer.py
new file mode 100644
index 00000000000..4a4a438cd49
--- /dev/null
+++ b/test/rmgpy/cantera_yaml_comparer.py
@@ -0,0 +1,196 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+Shared pytest base class for comparing two Cantera YAML files.
+
+Used by both yaml_cantera1Test.py and yaml_cantera2Test.py so that
+comparison rules stay in lockstep across the two RMG Cantera writers.
+"""
+
+import copy
+
+import pytest
+import yaml
+
+
+class CanteraYamlFileComparer:
+ """
+ For comparing two Cantera YAML files.
+ This class provides methods to compare species and reactions between the two files.
+
+ Args:
+ yaml_path_1: Path to the first YAML file, converted from Chemkin by ck2yaml.
+ yaml_path_2: Path to the second YAML file, written directly by RMG.
+ """
+ yaml_path_1 = None
+ yaml_path_2 = None
+
+ @pytest.fixture(autouse=True, scope="class") # loaded once per Class
+ def load_yaml_files(self, request):
+ """Load the two YAML files to be compared."""
+ with open(request.cls.yaml_path_1, 'r') as file:
+ request.cls.yaml1 = yaml.safe_load(file)
+ with open(request.cls.yaml_path_2, 'r') as file:
+ request.cls.yaml2 = yaml.safe_load(file)
+
+ @pytest.fixture(autouse=True) # runs before each test method
+ def copy_yaml_dicts(self):
+ """Make deep copies so tests can modify without affecting other tests."""
+ self.yaml1 = copy.deepcopy(self.__class__.yaml1)
+ self.yaml2 = copy.deepcopy(self.__class__.yaml2)
+
+ def testGeneratorsAsExpected(self):
+ "Check the two yaml files were generated by the expected tools (ck2yaml vs RMG)."
+ assert self.yaml1['generator'] == 'ck2yaml', "First YAML file should be generated by ck2yaml."
+ assert 'RMG' in self.yaml2['generator'], "Second YAML file should be generated by RMG."
+
+ def testKeysMatch(self):
+ """Test that the top-level keys in both YAML files match, except those expected not to."""
+ # Strip header metadata that any of {ck2yaml, writer 1, writer 2} emits but
+ # the others don't. Popping from both yamls (dict.pop(key, None) is a no-op
+ # when absent) avoids per-writer special-casing and stays correct if a
+ # writer later adds or drops one of these fields.
+ metadata_keys = ('input-files', 'cantera-version', 'date', 'description')
+ for key in metadata_keys:
+ self.yaml1.pop(key, None)
+ self.yaml2.pop(key, None)
+ for model in [self.yaml1, self.yaml2]:
+ for phase in model['phases']:
+ for reactions_block in phase.get('reactions', []): # for multi-phase mechanisms, reactions are under each phase
+ assert reactions_block in model, f"Expected reactions block '{reactions_block}' not found in YAML file."
+ model.pop(reactions_block, None) # Remove reactions block to allow keys to match
+ only_in_yaml1 = set(self.yaml1) - set(self.yaml2)
+ only_in_yaml2 = set(self.yaml2) - set(self.yaml1)
+ assert not (only_in_yaml1 or only_in_yaml2), (
+ f"YAML files have different top-level keys. "
+ f"Only in yaml1 (ck2yaml): {sorted(only_in_yaml1)}; "
+ f"only in yaml2 (RMG): {sorted(only_in_yaml2)}."
+ )
+
+ def testPhasesMatch(self):
+ """Test that the phase definitions in both YAML files match."""
+ assert len(self.yaml1['phases']) == len(self.yaml2['phases']), "YAML files have different numbers of phases"
+
+ for phase1, phase2 in zip(self.yaml1['phases'], self.yaml2['phases']):
+ assert phase1['name'] == phase2['name'], f"Phase names do not match: {phase1['name']} vs {phase2['name']}."
+ assert phase1['thermo'] == phase2['thermo'], f"Thermo definitions for phase {phase1['name']} do not match."
+ assert phase1.get('transport', '') == phase2.get('transport', ''), f"Transport definitions for phase {phase1['name']} do not match."
+ assert phase1.get('adjacent-phases', []) == phase2.get('adjacent-phases', []), f"Adjacent phases for phase {phase1['name']} do not match."
+ assert phase1.get('species', []) == phase2.get('species', []), f"Species lists for phase {phase1['name']} do not match."
+ assert phase1.get('reactions', []) == phase2.get('reactions', []), f"Reactions blocks for phase {phase1['name']} do not match."
+ # the ck2yaml has all elements in Titlecase, while RMG lets some isotopes be CI and OI (not Ci and Oi).
+ assert sorted(phase1.get('elements', [])) == sorted(e.title() for e in phase2.get('elements', [])), f"Element lists for phase {phase1['name']} do not match."
+ assert phase1.get('state', {}) == phase2.get('state', {}), f"State definitions for phase {phase1['name']} do not match."
+
+ def testElementsMatch(self):
+ """Test that the element definitions in both YAML files match."""
+ assert ('elements' in self.yaml1) == ('elements' in self.yaml2), "One YAML file has an 'elements' block while the other does not."
+ ck2yaml_elements = sorted(self.yaml1.get('elements', []), key=lambda e: e['symbol'])
+ # Put symbol into Titlecase to match ck2yaml's formatting
+ rmg_elements = [{'symbol': e['symbol'].title(), 'atomic-weight': e['atomic-weight']} for e in self.yaml2.get('elements', [])]
+ rmg_elements = sorted(rmg_elements, key=lambda e: e['symbol'])
+ # Compare symbols exactly, and atomic weights approximately
+ assert [e['symbol'] for e in ck2yaml_elements] == [e['symbol'] for e in rmg_elements], \
+ "YAML files have different element symbols."
+ assert [e['atomic-weight'] for e in ck2yaml_elements] == pytest.approx(
+ [e['atomic-weight'] for e in rmg_elements], abs=1e-3
+ ), "YAML files have different element atomic weights."
+
+ def testSpeciesMatch(self):
+ """Test that species definitions match between the two YAML files."""
+ species1 = {s['name']: s for s in self.yaml1['species']}
+ species2 = {s['name']: s for s in self.yaml2['species']}
+ assert species1.keys() == species2.keys(), "Species names do not match."
+
+ for name in species1:
+ s1 = species1[name]
+ s2 = species2[name]
+
+ # Composition: ck2yaml uses int values, RMG uses float
+ assert {k: int(v) for k, v in s2['composition'].items()} == s1['composition'], \
+ f"Composition mismatch for {name}."
+
+ # Thermo model
+ assert s1['thermo']['model'] == s2['thermo']['model'], \
+ f"Thermo model mismatch for {name}."
+
+ # Temperature ranges and polynomial data
+ # ck2yaml may collapse single-polynomial NASA7 (e.g. Ar) into one range
+ # while RMG always writes two polynomials with a midpoint temperature.
+ t_ranges1 = s1['thermo'].get('temperature-ranges', [])
+ t_ranges2 = s2['thermo'].get('temperature-ranges', [])
+ data1 = s1['thermo'].get('data', [])
+ data2 = s2['thermo'].get('data', [])
+
+ if len(t_ranges1) == 2 and len(t_ranges2) == 3:
+ # ck2yaml collapsed to single polynomial; RMG has two identical ones
+ assert t_ranges1[0] == pytest.approx(t_ranges2[0], rel=1e-4), \
+ f"Temperature range lower bound mismatch for {name}."
+ assert t_ranges1[1] == pytest.approx(t_ranges2[2], rel=1e-4), \
+ f"Temperature range upper bound mismatch for {name}."
+ assert len(data1) == 1 and len(data2) == 2, \
+ f"Expected 1 vs 2 polynomials for collapsed species {name}."
+ assert data1[0] == pytest.approx(data2[0], rel=1e-4), \
+ f"Thermo polynomial mismatch for {name} (low range)."
+ assert data1[0] == pytest.approx(data2[1], rel=1e-4), \
+ f"Thermo polynomial mismatch for {name} (high range should match low)."
+ else:
+ assert t_ranges1 == pytest.approx(t_ranges2, rel=1e-4), \
+ f"Temperature ranges mismatch for {name}."
+ assert len(data1) == len(data2), \
+ f"Number of thermo polynomial ranges differs for {name}."
+ for i, (poly1, poly2) in enumerate(zip(data1, data2)):
+ assert poly1 == pytest.approx(poly2, rel=1e-4), \
+ f"Thermo polynomial {i} mismatch for {name}."
+
+ # Transport data
+ assert ('transport' in s1) == ('transport' in s2), f"Transport data presence mismatch for {name}."
+ if 'transport' in s1 and 'transport' in s2:
+ t1 = s1['transport']
+ t2 = s2['transport']
+ assert t1['model'] == t2['model'], f"Transport model mismatch for {name}."
+ assert t1['geometry'] == t2['geometry'], f"Transport geometry mismatch for {name}."
+ assert t1.get('well-depth', 0) == pytest.approx(
+ t2.get('well-depth', 0), rel=1e-3
+ ), f"Transport well-depth mismatch for {name}."
+ assert t1.get('diameter', 0) == pytest.approx(
+ t2.get('diameter', 0), rel=1e-3
+ ), f"Transport diameter mismatch for {name}."
+ assert t1.get('polarizability', 0) == pytest.approx(
+ t2.get('polarizability', 0), rel=1e-3
+ ), f"Transport polarizability mismatch for {name}."
+ assert t1.get('dipole', 0) == pytest.approx(
+ t2.get('dipole', 0), rel=1e-3
+ ), f"Transport dipole mismatch for {name}."
+ assert t1.get('rotational-relaxation', 0) == pytest.approx(
+ t2.get('rotational-relaxation', 0), rel=1e-3
+ ), f"Transport rotational-relaxation mismatch for {name}."
+ assert t1.get('note', '') == t2.get('note', ''), \
+ f"Transport note mismatch for {name}."
diff --git a/test/rmgpy/chemkinTest.py b/test/rmgpy/chemkinTest.py
index 69692ea4bbf..c610679f331 100644
--- a/test/rmgpy/chemkinTest.py
+++ b/test/rmgpy/chemkinTest.py
@@ -27,6 +27,7 @@
# #
###############################################################################
+import io
import os
from unittest import mock
@@ -39,11 +40,14 @@
mark_duplicate_reactions,
read_kinetics_entry,
read_reaction_comments,
+ read_thermo_block,
read_thermo_entry,
save_chemkin_file,
save_chemkin_surface_file,
save_species_dictionary,
save_transport_file,
+ write_elements_section,
+ write_kinetics_entry,
write_thermo_entry,
)
from rmgpy.chemkin import _remove_line_breaks, _process_duplicate_reactions
@@ -60,6 +64,14 @@
import pytest
+def get_elements_section_lines(chemkin_text):
+ """Return the ELEMENTS block from a Chemkin file as stripped lines."""
+ lines = chemkin_text.splitlines()
+ start = lines.index("ELEMENTS")
+ end = lines.index("END", start)
+ return lines[start : end + 1]
+
+
class ChemkinTest:
@mock.patch("rmgpy.chemkin.logging")
def test_read_thermo_entry_bad_element_count(self, mock_logging):
@@ -143,6 +155,35 @@ def test_read_thermo_entry_no_temperature_range(self):
assert formula == {"H": 6, "C": 2}
assert isinstance(thermo, NASA)
+ @mock.patch("rmgpy.chemkin.logging")
+ def test_read_thermo_block_temperature_header_columns(self, mock_logging):
+ # Per the CHEMKIN spec the default-range line is fixed-width:
+ # Tmin in cols 1-10, Tint in cols 11-20, Tmax in cols 21-30.
+ # Slot 1: 150 left-anchored (leftmost digit in col 1).
+ # Slot 2: 1000 right-anchored (rightmost digit in col 20)
+ # ' 1000' that could be misread as 100.
+ # Slot 3: 9999 right-anchored (rightmost digit in col 30).
+ header = "150 1000 9999"
+ assert len(header) == 30
+ f = io.StringIO("THERM ALL\n" + header + "\nEND\n")
+
+ read_thermo_block(f, species_dict={})
+
+ mock_logging.info.assert_any_call(
+ "Thermo file has default temperature range 150.0 to 1000.0 and 1000.0 to 9999.0"
+ )
+ for call in mock_logging.warning.call_args_list:
+ assert "badly formatted" not in call.args[0]
+
+ @mock.patch("rmgpy.chemkin.logging")
+ def test_read_thermo_block_warns_for_badly_formatted_temperature_header(self, mock_logging):
+ header = "15000000001 9999 5000"
+ f = io.StringIO("THERM ALL\n" + header + "\nEND\n")
+
+ read_thermo_block(f, species_dict={})
+
+ assert any("badly formatted" in call.args[0] for call in mock_logging.warning.call_args_list)
+
def test_read_and_write_and_read_template_reaction_family_for_minimal_example(self):
"""
This example tests if family and templates info can be correctly
@@ -665,6 +706,83 @@ def test_read_write_coverage_dependence(self):
os.remove(chemkin_save_path)
os.remove(dictionary_save_path)
+ def test_write_kinetics_entry_with_coverage_dependence(self):
+ """Test that write_kinetics_entry correctly writes COV lines for surface reactions
+ with coverage-dependent kinetics."""
+ s_ox = Species().from_smiles("O=[*]")
+ s_ox.label = "OX"
+
+ kinetics = SurfaceArrhenius(
+ A=(7.39e19, "cm^2/(mol*s)"),
+ n=0.0,
+ Ea=(18.475, "kcal/mol"),
+ T0=(1, "K"),
+ coverage_dependence={s_ox: {"a": 0.0, "m": 0.0, "E": (-17.5, "kcal/mol")}},
+ )
+
+ rxn = Reaction(
+ reactants=[s_ox],
+ products=[s_ox],
+ kinetics=kinetics,
+ )
+
+ result = write_kinetics_entry(rxn, species_list=[s_ox])
+
+ assert "COV" in result
+ cov_line = [line for line in result.splitlines() if "COV" in line][0]
+ assert "OX" in cov_line
+ assert "-17.500" in cov_line
+
+ def test_write_elements_section_omits_unused_isotopes_and_surface_site(self):
+ """Only elements in use should be written to the ELEMENTS section."""
+ from rmgpy.molecule.element import C, H, O
+
+ stream = io.StringIO()
+ write_elements_section(stream, {C, H, O})
+
+ assert stream.getvalue().splitlines() == [
+ "ELEMENTS",
+ "\tC",
+ "\tH",
+ "\tO",
+ "END",
+ "",
+ ]
+
+ def test_write_elements_section_includes_used_isotopes_and_surface_site(self):
+ """Isotopes and X should be written when they are explicitly in use."""
+ from rmgpy.molecule.element import C13, D, H, O18, T, X
+
+ stream = io.StringIO()
+ write_elements_section(stream, {C13, D, H, O18, T, X})
+
+ assert stream.getvalue().splitlines() == [
+ "ELEMENTS",
+ "\tH",
+ "\tD /2.014/",
+ "\tT /3.016/",
+ "\tCI /13.003/",
+ "\tOI /17.999/",
+ "\tX /195.083/",
+ "END",
+ "",
+ ]
+
+ def test_write_elements_section_maps_electron_to_pseudo_element(self):
+ """The RMG electron singleton should be written as Chemkin/Cantera E, not e."""
+ from rmgpy.molecule.element import H, e
+
+ stream = io.StringIO()
+ write_elements_section(stream, {H, e})
+
+ assert stream.getvalue().splitlines() == [
+ "ELEMENTS",
+ "\tE",
+ "\tH",
+ "END",
+ "",
+ ]
+
class TestThermoReadWrite:
def setup_class(self):
@@ -741,6 +859,86 @@ def test_read_thermo_block(self):
assert formula == {"H": 6, "C": 2}
assert self.nasa.is_identical_to(thermo)
+ def test_write_thermo_block_for_isotope_uses_chemkin_name(self):
+ """Isotopic atoms should use their Chemkin names in thermo composition."""
+ deuterium = Species().from_adjacency_list(
+ "1 H u0 p0 c0 i2 {2,S}\n"
+ "2 H u0 p0 c0 {1,S}"
+ )
+ deuterium.thermo = self.nasa
+
+ result = write_thermo_entry(deuterium, verbose=False)
+
+ first_line = result.splitlines()[0]
+ assert "D 1" in first_line
+ assert "H 1" in first_line
+
+ def test_save_chemkin_file_writes_dynamic_elements_section(self, tmp_path):
+ """save_chemkin_file should discover isotopes and not add unused X."""
+ h2 = Species().from_smiles("[H][H]")
+ h2.label = "H2"
+ h2.index = 1
+ h2.thermo = self.nasa
+
+ d = Species().from_adjacency_list("1 H u1 p0 c0 i2")
+ d.label = "D"
+ d.index = 2
+ d.thermo = self.nasa
+
+ chemkin_path = tmp_path / "chem.inp"
+ save_chemkin_file(
+ chemkin_path,
+ [h2, d],
+ [],
+ verbose=False,
+ check_for_duplicates=False,
+ )
+
+ elements_lines = get_elements_section_lines(chemkin_path.read_text())
+ assert elements_lines == [
+ "ELEMENTS",
+ "\tH",
+ "\tD /2.014/",
+ "END",
+ ]
+ assert all("X" not in line for line in elements_lines)
+
+ def test_save_chemkin_file_adds_electron_element_for_charged_species(self, tmp_path):
+ """Charged species require E in the ELEMENTS section even without an electron atom."""
+ from rmgpy.molecule.element import Li, e
+ from rmgpy.rmg.model import ReactionModel
+
+ lithium_ion = Species().from_adjacency_list("1 Li u0 p0 c+1")
+ lithium_ion.label = "Li+"
+ lithium_ion.index = 1
+ lithium_ion.thermo = self.nasa
+
+ assert ReactionModel(species=[lithium_ion]).get_elements() == {Li, e}
+
+ chemkin_path = tmp_path / "chem.inp"
+ save_chemkin_file(
+ chemkin_path,
+ [lithium_ion],
+ [],
+ verbose=False,
+ check_for_duplicates=False,
+ )
+
+ elements_lines = get_elements_section_lines(chemkin_path.read_text())
+ assert "\tE" in elements_lines
+ assert "\tLi" in elements_lines
+
+ def test_write_thermo_block_for_charged_species_includes_electron_count(self):
+ """Charged species thermo composition should include E: -charge."""
+ lithium_ion = Species().from_adjacency_list("1 Li u0 p0 c+1")
+ lithium_ion.thermo = self.nasa
+
+ result = write_thermo_entry(lithium_ion, verbose=False)
+
+ first_line = result.splitlines()[0]
+ assert "E -1" in first_line
+ assert "Li 1" in first_line
+
def test_write_thermo_block_5_elem(self):
"""Test that we can write a thermo block for a species with 5 elements"""
species = Species().from_adjacency_list(
diff --git a/test/rmgpy/constraintsTest.py b/test/rmgpy/constraintsTest.py
index 45c411942c5..0819555f80b 100644
--- a/test/rmgpy/constraintsTest.py
+++ b/test/rmgpy/constraintsTest.py
@@ -83,7 +83,6 @@ def test_constraints_not_loaded(self, mock_logging):
rmgpy.rmg.input.rmg = None
mol = Molecule(smiles="C")
-
assert not fails_species_constraints(mol)
mock_logging.debug.assert_called_with("Species constraints could not be found.")
@@ -210,9 +209,11 @@ def test_surface_site_constraint(self):
self.rmg.species_constraints["maximumHeavyAtoms"] = 6
assert not fails_species_constraints(mol_1site)
+
assert not fails_species_constraints(mol_2site)
assert fails_species_constraints(mol_3site_vdW)
+
assert fails_species_constraints(mol_3site)
self.rmg.species_constraints["maximumCarbonAtoms"] = max_carbon
@@ -233,13 +234,36 @@ def test_surface_bond_order_constraint(self):
def test_heavy_constraint(self):
"""
Test that we can constrain the max number of heavy atoms.
+
+ Hydrogens and surface sites ('X') are not counted as heavy atoms.
"""
mol1 = Molecule(smiles="CCO")
+ assert mol1.get_num_heavy_atoms() == 3
assert not fails_species_constraints(mol1)
mol2 = Molecule(smiles="CCN=O")
+ assert mol2.get_num_heavy_atoms() == 4
assert fails_species_constraints(mol2)
+ # An adsorbate: neither the hydrogens nor the surface site 'X' are
+ # heavy atoms, so this ethoxy fragment has only 3 heavy atoms
+ # (2 C + 1 O) and passes the maximumHeavyAtoms=3 constraint.
+ adsorbate = Molecule().from_adjacency_list(
+ """
+1 C u0 p0 c0 {2,S} {4,S} {5,S} {6,S}
+2 C u0 p0 c0 {1,S} {3,S} {7,S} {8,S}
+3 O u0 p2 c0 {2,S} {9,S}
+4 H u0 p0 c0 {1,S}
+5 H u0 p0 c0 {1,S}
+6 H u0 p0 c0 {1,S}
+7 H u0 p0 c0 {2,S}
+8 H u0 p0 c0 {2,S}
+9 X u0 p0 c0 {3,S}
+"""
+ )
+ assert adsorbate.get_num_heavy_atoms() == 3
+ assert not fails_species_constraints(adsorbate)
+
def test_radical_constraint(self):
"""
Test that we can constrain the max number of radical electrons.
diff --git a/test/rmgpy/data/autoDatabaseTest.py b/test/rmgpy/data/autoDatabaseTest.py
new file mode 100644
index 00000000000..c262c08a119
--- /dev/null
+++ b/test/rmgpy/data/autoDatabaseTest.py
@@ -0,0 +1,685 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""Tests for the automated library and family selection module (auto_database.py)."""
+
+import logging
+import os
+import unittest
+
+from rmgpy import settings
+from rmgpy.data.auto_database import (
+ AUTO,
+ PAH_LIBS,
+ ChemistryProfile,
+ ChemistrySet,
+ FamilySet,
+ _get_reactor_max_temperature,
+ _has_pah_libs_keyword,
+ _log_lib_list,
+ to_reaction_library_tuples,
+ auto_select_libraries,
+ detect_chemistry,
+ determine_chemistry_sets,
+ determine_kinetics_families,
+ expand_chemistry_sets,
+ load_recommended_yml,
+ merge_with_user_libraries,
+ resolve_auto_kinetics_families,
+)
+from rmgpy.molecule import Molecule
+from rmgpy.quantity import Quantity
+from rmgpy.rmg.main import RMG
+from rmgpy.solver.liquid import LiquidReactor
+from rmgpy.solver.simple import SimpleReactor
+from rmgpy.solver.surface import SurfaceReactor
+from rmgpy.species import Species
+
+
+def _simple_reactor(T_K: float) -> SimpleReactor:
+ spc = Species().from_smiles('C')
+ return SimpleReactor(T=Quantity(T_K, 'K'), P=Quantity(1e5, 'Pa'),
+ initial_mole_fractions={spc: 1.0}, n_sims=1, termination=[])
+
+
+def _liquid_reactor(T_K: float) -> LiquidReactor:
+ spc = Species().from_smiles('C')
+ return LiquidReactor(T=Quantity(T_K, 'K'), initial_concentrations={spc: 0.1},
+ n_sims=1, termination=[])
+
+
+def _surface_reactor(T_K: float) -> SurfaceReactor:
+ gas_spc = Species().from_smiles('[H][H]')
+ x_mol = Molecule().from_adjacency_list('1 X u0 p0 c0')
+ surf_spc = Species(molecule=[x_mol])
+ return SurfaceReactor(T=Quantity(T_K, 'K'), P_initial=Quantity(1e5, 'Pa'),
+ initial_gas_mole_fractions={gas_spc: 1.0},
+ initial_surface_coverages={surf_spc: 1.0},
+ surface_volume_ratio=Quantity(1e1, 'm^-1'),
+ surface_site_density=Quantity(2.72e-9, 'mol/cm^2'),
+ n_sims=1, termination=[])
+
+
+def _rmg_with_auto(species_smiles, T_K, solvent=None, pah=False):
+ """Build an RMG object with 'auto' library settings."""
+ rmg = RMG()
+ rmg.initial_species = [Species().from_smiles(s) for s in species_smiles]
+ rmg.reaction_systems = [_simple_reactor(T_K)]
+ rmg.solvent = solvent
+ rmg.database_directory = settings['database.directory']
+ rmg.thermo_libraries = AUTO
+ rmg.reaction_libraries = [AUTO, PAH_LIBS] if pah else AUTO
+ rmg.seed_mechanisms = AUTO
+ rmg.transport_libraries = AUTO
+ rmg.kinetics_families = AUTO
+ rmg.reaction_libraries_output_edge = set()
+ return rmg
+
+
+class TestGetReactorMaxTemperature(unittest.TestCase):
+
+ def test_simple_reactor(self):
+ self.assertAlmostEqual(_get_reactor_max_temperature(_simple_reactor(1200.0)), 1200.0)
+
+ def test_liquid_reactor(self):
+ self.assertAlmostEqual(_get_reactor_max_temperature(_liquid_reactor(350.0)), 350.0)
+
+ def test_surface_reactor(self):
+ self.assertAlmostEqual(_get_reactor_max_temperature(_surface_reactor(600.0)), 600.0)
+
+ def test_temperature_range(self):
+ spc = Species().from_smiles('C')
+ reactor = SimpleReactor(T=[Quantity(800, 'K'), Quantity(1500, 'K')],
+ P=Quantity(1e5, 'Pa'),
+ initial_mole_fractions={spc: 1.0}, n_sims=1, termination=[])
+ self.assertAlmostEqual(_get_reactor_max_temperature(reactor), 1500.0)
+
+ def test_no_T_attribute(self):
+ self.assertIsNone(_get_reactor_max_temperature(object()))
+
+
+class TestHasPahLibsKeyword(unittest.TestCase):
+
+ def test_in_thermo(self):
+ rmg = RMG()
+ rmg.thermo_libraries = ['auto', PAH_LIBS]
+ rmg.reaction_libraries = []
+ rmg.seed_mechanisms = []
+ rmg.transport_libraries = []
+ self.assertTrue(_has_pah_libs_keyword(rmg))
+
+ def test_in_reaction_libraries(self):
+ rmg = RMG()
+ rmg.thermo_libraries = []
+ rmg.reaction_libraries = ['myLib', '']
+ rmg.seed_mechanisms = []
+ rmg.transport_libraries = []
+ self.assertTrue(_has_pah_libs_keyword(rmg))
+
+ def test_absent(self):
+ rmg = RMG()
+ rmg.thermo_libraries = ['auto']
+ rmg.reaction_libraries = ['auto']
+ rmg.seed_mechanisms = ['auto']
+ rmg.transport_libraries = ['auto']
+ self.assertFalse(_has_pah_libs_keyword(rmg))
+
+ def test_string_field_not_iterated(self):
+ rmg = RMG()
+ rmg.thermo_libraries = 'auto'
+ rmg.reaction_libraries = 'auto'
+ rmg.seed_mechanisms = 'auto'
+ rmg.transport_libraries = 'auto'
+ self.assertFalse(_has_pah_libs_keyword(rmg))
+
+
+class TestDetectChemistry(unittest.TestCase):
+
+ def test_hydrocarbon(self):
+ species = [Species().from_smiles('C'), Species().from_smiles('[H][H]')]
+ profile = detect_chemistry(species, [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_carbon)
+ self.assertFalse(profile.has_nitrogen)
+ self.assertFalse(profile.has_oxygen)
+ self.assertAlmostEqual(profile.max_temperature, 500.0)
+
+ def test_oxygenated_fuel(self):
+ species = [Species().from_smiles('CCO'), Species().from_smiles('N#N')]
+ profile = detect_chemistry(species, [_simple_reactor(1000.0)], solvent=None)
+ self.assertTrue(profile.has_oxygen)
+ self.assertTrue(profile.has_carbon)
+ self.assertTrue(profile.has_nitrogen)
+
+ def test_O2(self):
+ species = [Species().from_smiles('C'), Species().from_smiles('[O][O]')]
+ profile = detect_chemistry(species, [_simple_reactor(1500.0)], solvent=None)
+ self.assertTrue(profile.has_oxygen)
+
+ def test_nitrogen(self):
+ profile = detect_chemistry([Species().from_smiles('N')], [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_nitrogen)
+
+ def test_sulfur(self):
+ profile = detect_chemistry([Species().from_smiles('S')], [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_sulfur)
+
+ def test_halogens(self):
+ profile = detect_chemistry([Species().from_smiles('CCl')], [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_halogens)
+
+ def test_liquid_reactor(self):
+ profile = detect_chemistry([Species().from_smiles('C')], [_liquid_reactor(300.0)], solvent=None)
+ self.assertTrue(profile.has_liquid)
+
+ def test_surface_reactor(self):
+ profile = detect_chemistry([Species().from_smiles('[H][H]')], [_surface_reactor(600.0)], solvent=None)
+ self.assertTrue(profile.has_surface)
+
+ def test_solvent(self):
+ profile = detect_chemistry([Species().from_smiles('C')], [_simple_reactor(300.0)], solvent='water')
+ self.assertTrue(profile.has_liquid)
+
+ def test_max_T_multiple_reactors(self):
+ profile = detect_chemistry([Species().from_smiles('C')],
+ [_simple_reactor(500.0), _simple_reactor(1200.0)], solvent=None)
+ self.assertAlmostEqual(profile.max_temperature, 1200.0)
+
+ def test_surface_species(self):
+ x_mol = Molecule().from_adjacency_list('1 X u0 p0 c0')
+ profile = detect_chemistry([Species(molecule=[x_mol])], [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_surface)
+
+ def test_mixed_reactors(self):
+ profile = detect_chemistry([Species().from_smiles('C')],
+ [_simple_reactor(800.0), _liquid_reactor(350.0)], solvent=None)
+ self.assertTrue(profile.has_liquid)
+ self.assertAlmostEqual(profile.max_temperature, 800.0)
+
+ def test_no_reactors(self):
+ profile = detect_chemistry([Species().from_smiles('CCO')], [], solvent=None)
+ self.assertTrue(profile.has_oxygen)
+ self.assertAlmostEqual(profile.max_temperature, 0.0)
+
+ def test_nonreactive_species_ignored(self):
+ reactive = Species().from_smiles('C')
+ bath_gas = Species(reactive=False).from_smiles('N#N')
+ profile = detect_chemistry([reactive, bath_gas], [_simple_reactor(500.0)], solvent=None)
+ self.assertTrue(profile.has_carbon)
+ self.assertFalse(profile.has_nitrogen)
+
+
+class TestDetermineChemistrySets(unittest.TestCase):
+
+ def test_primary_always(self):
+ self.assertEqual(determine_chemistry_sets(ChemistryProfile(), False), [ChemistrySet.PRIMARY])
+
+ def test_nitrogen(self):
+ self.assertIn(ChemistrySet.NITROGEN, determine_chemistry_sets(ChemistryProfile(has_nitrogen=True), False))
+
+ def test_sulfur(self):
+ self.assertIn(ChemistrySet.SULFUR, determine_chemistry_sets(ChemistryProfile(has_sulfur=True), False))
+
+ def test_oxidation(self):
+ self.assertIn(ChemistrySet.OXIDATION, determine_chemistry_sets(ChemistryProfile(has_oxygen=True), False))
+
+ def test_ch_pyrolysis_core(self):
+ self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE,
+ determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=900.0), False))
+
+ def test_ch_pyrolysis_core_low_T(self):
+ self.assertNotIn(ChemistrySet.CH_PYROLYSIS_CORE,
+ determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=500.0), False))
+
+ def test_pah_no_oxygen(self):
+ self.assertIn(ChemistrySet.PAH_FORMATION,
+ determine_chemistry_sets(ChemistryProfile(has_carbon=True, max_temperature=1000.0), False))
+
+ def test_pah_blocked_by_oxygen(self):
+ self.assertNotIn(ChemistrySet.PAH_FORMATION,
+ determine_chemistry_sets(
+ ChemistryProfile(has_carbon=True, has_oxygen=True, max_temperature=1000.0), False))
+
+ def test_pah_with_keyword(self):
+ self.assertIn(ChemistrySet.PAH_FORMATION,
+ determine_chemistry_sets(ChemistryProfile(has_carbon=True, has_oxygen=True, max_temperature=1000.0), True))
+
+ def test_liquid_oxidation(self):
+ self.assertIn(ChemistrySet.LIQUID_OXIDATION,
+ determine_chemistry_sets(ChemistryProfile(has_liquid=True, has_oxygen=True), False))
+
+ def test_surface(self):
+ sets = determine_chemistry_sets(ChemistryProfile(has_surface=True), False)
+ self.assertIn(ChemistrySet.SURFACE, sets)
+ self.assertNotIn(ChemistrySet.SURFACE_NITROGEN, sets)
+
+ def test_surface_nitrogen(self):
+ sets = determine_chemistry_sets(ChemistryProfile(has_surface=True, has_nitrogen=True), False)
+ self.assertIn(ChemistrySet.SURFACE, sets)
+ self.assertIn(ChemistrySet.SURFACE_NITROGEN, sets)
+
+ def test_halogens(self):
+ self.assertIn(ChemistrySet.HALOGENS,
+ determine_chemistry_sets(ChemistryProfile(has_halogens=True), False))
+
+ def test_electrochem(self):
+ self.assertIn(ChemistrySet.ELECTROCHEM,
+ determine_chemistry_sets(ChemistryProfile(has_electrochem=True), False))
+
+ def test_ordering(self):
+ profile = ChemistryProfile(has_nitrogen=True, has_sulfur=True, has_oxygen=True,
+ has_carbon=True, max_temperature=1200.0)
+ sets = determine_chemistry_sets(profile, False)
+ self.assertEqual(sets[0], ChemistrySet.PRIMARY)
+ self.assertLess(sets.index(ChemistrySet.NITROGEN), sets.index(ChemistrySet.SULFUR))
+
+ def test_full_combo(self):
+ profile = ChemistryProfile(
+ has_nitrogen=True, has_sulfur=True, has_oxygen=True, has_carbon=True,
+ has_halogens=True, has_electrochem=True, has_surface=True, has_liquid=True,
+ max_temperature=1200.0)
+ sets = determine_chemistry_sets(profile, True)
+ for expected in ChemistrySet:
+ self.assertIn(expected, sets)
+
+
+class TestDetermineKineticsFamilies(unittest.TestCase):
+
+ def test_default(self):
+ self.assertEqual(determine_kinetics_families(ChemistryProfile()), [FamilySet.DEFAULT])
+
+ def test_ch_pyrolysis(self):
+ self.assertIn(FamilySet.CH_PYROLYSIS,
+ determine_kinetics_families(ChemistryProfile(has_carbon=True, max_temperature=1000.0)))
+
+ def test_ch_pyrolysis_low_T(self):
+ self.assertNotIn(FamilySet.CH_PYROLYSIS,
+ determine_kinetics_families(ChemistryProfile(has_carbon=True, max_temperature=500.0)))
+
+ def test_liquid_peroxide(self):
+ self.assertIn(FamilySet.LIQUID_PEROXIDE,
+ determine_kinetics_families(ChemistryProfile(has_liquid=True, has_oxygen=True)))
+
+ def test_surface(self):
+ self.assertIn(FamilySet.SURFACE,
+ determine_kinetics_families(ChemistryProfile(has_surface=True)))
+
+ def test_halogens(self):
+ self.assertIn(FamilySet.HALOGENS,
+ determine_kinetics_families(ChemistryProfile(has_halogens=True)))
+
+ def test_electrochem(self):
+ self.assertIn(FamilySet.ELECTROCHEM,
+ determine_kinetics_families(ChemistryProfile(has_electrochem=True)))
+
+
+class TestLoadRecommendedYml(unittest.TestCase):
+
+ def setUp(self):
+ self.db_dir = settings['database.directory']
+ if not os.path.isfile(os.path.join(self.db_dir, 'recommended_libraries.yml')):
+ self.skipTest('recommended_libraries.yml not found')
+
+ def test_loads(self):
+ data = load_recommended_yml(self.db_dir)
+ self.assertIsInstance(data, dict)
+ self.assertIn('primary', data)
+
+ def test_all_chemistry_sets_present(self):
+ data = load_recommended_yml(self.db_dir)
+ for s in ChemistrySet:
+ self.assertIn(s.value, data)
+
+ def test_required_keys(self):
+ data = load_recommended_yml(self.db_dir)
+ for name, entry in data.items():
+ self.assertIn('thermo', entry, f'{name} missing thermo')
+ self.assertIn('kinetics', entry, f'{name} missing kinetics')
+
+ def test_invalid_path(self):
+ with self.assertRaises(Exception):
+ load_recommended_yml('/nonexistent')
+
+
+class TestExpandChemistrySets(unittest.TestCase):
+
+ def setUp(self):
+ self.db_dir = settings['database.directory']
+ if not os.path.isfile(os.path.join(self.db_dir, 'recommended_libraries.yml')):
+ self.skipTest('recommended_libraries.yml not found')
+ self.rec = load_recommended_yml(self.db_dir)
+
+ def test_primary(self):
+ thermo, _, transport, seeds = expand_chemistry_sets(self.rec, ['primary'])
+ self.assertIn('primaryThermoLibrary', thermo)
+ self.assertIn('primaryH2O2', seeds)
+ self.assertIn('PrimaryTransportLibrary', transport)
+
+ def test_nitrogen(self):
+ thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['nitrogen'])
+ self.assertIn('NH3', thermo)
+ self.assertIn('primaryNitrogenLibrary', kinetics)
+
+ def test_ch_pyrolysis_core(self):
+ thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['CH_pyrolysis_core'])
+ self.assertIn('Klippenstein_Glarborg2016', thermo)
+ self.assertIn('C2H2_init', kinetics)
+
+ def test_pah_formation(self):
+ thermo, kinetics, _, _ = expand_chemistry_sets(self.rec, ['PAH_formation'])
+ self.assertIn('naphthalene_H', thermo)
+ self.assertIn('Mebel_C6H5_C2H2', kinetics)
+
+ def test_surface_nitrogen(self):
+ _, kinetics, _, _ = expand_chemistry_sets(self.rec, ['surface_nitrogen'])
+ self.assertIn('Surface/Ammonia/Schneider_Pt111', kinetics)
+ self.assertIn('Surface/DOC/Nitrogen', kinetics)
+
+ def test_no_duplicates(self):
+ thermo, kinetics, _, seeds = expand_chemistry_sets(
+ self.rec, ['primary', 'nitrogen', 'oxidation', 'CH_pyrolysis_core'])
+ self.assertEqual(len(thermo), len(set(thermo)))
+ self.assertEqual(len(kinetics), len(set(kinetics)))
+
+ def test_primary_always_first(self):
+ thermo, _, _, _ = expand_chemistry_sets(self.rec, ['nitrogen', 'primary'])
+ self.assertEqual(thermo[0], 'primaryThermoLibrary')
+
+ def test_all_primary_before_other(self):
+ primary_thermo = self.rec['primary']['thermo']
+ thermo, _, _, _ = expand_chemistry_sets(self.rec, ['primary', 'oxidation', 'CH_pyrolysis_core'])
+ last_primary = max(thermo.index(lib) for lib in primary_thermo)
+ non_primary = [lib for lib in thermo if lib not in primary_thermo]
+ if non_primary:
+ first_other = min(thermo.index(lib) for lib in non_primary)
+ self.assertLess(last_primary, first_other)
+
+ def test_invalid_set(self):
+ with self.assertRaises(Exception):
+ expand_chemistry_sets(self.rec, ['nonexistent'])
+
+ def test_empty(self):
+ thermo, kinetics, transport, seeds = expand_chemistry_sets(self.rec, [])
+ self.assertEqual(thermo, [])
+
+
+class TestMergeWithUserLibraries(unittest.TestCase):
+
+ def test_auto_string(self):
+ self.assertEqual(merge_with_user_libraries('auto', ['a', 'b']), ['a', 'b'])
+
+ def test_no_auto(self):
+ self.assertEqual(merge_with_user_libraries(['x', 'y'], ['a']), ['x', 'y'])
+
+ def test_auto_middle(self):
+ self.assertEqual(merge_with_user_libraries(['x', 'auto', 'y'], ['a', 'b']), ['x', 'a', 'b', 'y'])
+
+ def test_auto_start(self):
+ self.assertEqual(merge_with_user_libraries(['auto', 'y'], ['a', 'b']), ['a', 'b', 'y'])
+
+ def test_auto_end(self):
+ self.assertEqual(merge_with_user_libraries(['x', 'auto'], ['a']), ['x', 'a'])
+
+ def test_dedup(self):
+ self.assertEqual(merge_with_user_libraries(['x', 'auto'], ['x', 'a']), ['x', 'a'])
+
+ def test_none(self):
+ self.assertIsNone(merge_with_user_libraries(None, ['a']))
+
+ def test_empty(self):
+ self.assertEqual(merge_with_user_libraries([], ['a']), [])
+
+ def test_pah_stripped(self):
+ self.assertEqual(merge_with_user_libraries(['x', PAH_LIBS, 'auto'], ['a']), ['x', 'a'])
+
+ def test_pah_no_auto(self):
+ self.assertEqual(merge_with_user_libraries(['x', PAH_LIBS], ['a']), ['x'])
+
+ def test_auto_empty_libs(self):
+ self.assertEqual(merge_with_user_libraries('auto', []), [])
+
+
+class TestToReactionLibraryTuples(unittest.TestCase):
+
+ def test_all_false(self):
+ self.assertEqual(to_reaction_library_tuples(['a', 'b'], set()), [('a', False), ('b', False)])
+
+ def test_some_true(self):
+ self.assertEqual(to_reaction_library_tuples(['a', 'b', 'c'], {'b'}), [('a', False), ('b', True), ('c', False)])
+
+ def test_empty(self):
+ self.assertEqual(to_reaction_library_tuples([], set()), [])
+
+ def test_all_true(self):
+ self.assertEqual(to_reaction_library_tuples(['a', 'b'], {'a', 'b'}), [('a', True), ('b', True)])
+
+
+class TestResolveAutoKineticsFamilies(unittest.TestCase):
+
+ def setUp(self):
+ self.db_dir = settings['database.directory']
+ if not os.path.isfile(os.path.join(self.db_dir, 'kinetics', 'families', 'recommended.py')):
+ self.skipTest('recommended.py not found')
+
+ def test_default(self):
+ families = resolve_auto_kinetics_families([FamilySet.DEFAULT], self.db_dir)
+ self.assertIn('H_Abstraction', families)
+ self.assertIn('R_Recombination', families)
+
+ def test_default_plus_surface(self):
+ families = resolve_auto_kinetics_families([FamilySet.DEFAULT, FamilySet.SURFACE], self.db_dir)
+ self.assertIn('Surface_Adsorption_Single', families)
+
+ def test_no_duplicates(self):
+ families = resolve_auto_kinetics_families(
+ [FamilySet.DEFAULT, FamilySet.SURFACE, FamilySet.HALOGENS], self.db_dir)
+ self.assertEqual(len(families), len(set(families)))
+
+ def test_invalid_set(self):
+ with self.assertRaises(Exception):
+ resolve_auto_kinetics_families(['nonexistent'], self.db_dir)
+
+ def test_invalid_path(self):
+ with self.assertRaises(Exception):
+ resolve_auto_kinetics_families([FamilySet.DEFAULT], '/nonexistent')
+
+ def test_returns_strings(self):
+ for f in resolve_auto_kinetics_families([FamilySet.DEFAULT], self.db_dir):
+ self.assertIsInstance(f, str)
+
+
+class TestLogLibList(unittest.TestCase):
+
+ def test_none(self):
+ with self.assertLogs(level=logging.INFO) as cm:
+ _log_lib_list('Test', None)
+ self.assertIn('(none)', cm.output[0])
+
+ def test_empty(self):
+ with self.assertLogs(level=logging.INFO) as cm:
+ _log_lib_list('Test', [])
+ self.assertIn('(none)', cm.output[0])
+
+ def test_short(self):
+ with self.assertLogs(level=logging.INFO) as cm:
+ _log_lib_list('Libs', ['a', 'b'])
+ self.assertIn('Libs (2)', cm.output[0])
+
+ def test_wrapping(self):
+ libs = [f'very_long_library_name_{i}' for i in range(10)]
+ with self.assertLogs(level=logging.INFO) as cm:
+ _log_lib_list('Libs', libs, width=60)
+ self.assertIn('\n', cm.output[0])
+
+
+class TestAutoSelectLibraries(unittest.TestCase):
+
+ def setUp(self):
+ if not os.path.isfile(os.path.join(settings['database.directory'], 'recommended_libraries.yml')):
+ self.skipTest('recommended_libraries.yml not found')
+
+ def test_noop_without_auto(self):
+ rmg = RMG()
+ rmg.initial_species = [Species().from_smiles('C')]
+ rmg.reaction_systems = [_simple_reactor(500.0)]
+ rmg.solvent = None
+ rmg.database_directory = settings['database.directory']
+ rmg.thermo_libraries = ['myLib']
+ rmg.reaction_libraries = ['myKinLib']
+ rmg.seed_mechanisms = []
+ rmg.transport_libraries = None
+ rmg.kinetics_families = 'default'
+ auto_select_libraries(rmg)
+ self.assertEqual(rmg.thermo_libraries, ['myLib'])
+
+ def test_methane_oxidation(self):
+ rmg = _rmg_with_auto(['C', '[O][O]'], 1500.0)
+ auto_select_libraries(rmg)
+ self.assertIn('primaryThermoLibrary', rmg.thermo_libraries)
+ self.assertIn('FFCM1(-)', rmg.thermo_libraries)
+ self.assertIn('H_Abstraction', rmg.kinetics_families)
+
+ def test_ethane_pyrolysis_includes_pah(self):
+ rmg = _rmg_with_auto(['CC'], 1200.0)
+ auto_select_libraries(rmg)
+ self.assertIn('naphthalene_H', rmg.thermo_libraries)
+ self.assertIn('Mebel_C6H5_C2H2', rmg.reaction_libraries)
+
+ def test_ethanol_no_pah(self):
+ rmg = _rmg_with_auto(['CCO'], 1000.0)
+ auto_select_libraries(rmg)
+ self.assertNotIn('naphthalene_H', rmg.thermo_libraries)
+ self.assertIn('FFCM1(-)', rmg.thermo_libraries)
+
+ def test_ethanol_with_pah(self):
+ rmg = _rmg_with_auto(['CCO'], 1000.0, pah=True)
+ auto_select_libraries(rmg)
+ self.assertIn('naphthalene_H', rmg.thermo_libraries)
+
+ def test_families_resolved(self):
+ rmg = _rmg_with_auto(['C'], 500.0)
+ auto_select_libraries(rmg)
+ self.assertIsInstance(rmg.kinetics_families, list)
+ self.assertIn('H_Abstraction', rmg.kinetics_families)
+
+ def test_families_auto_with_exclusion(self):
+ """['!H_Abstraction', 'auto'] should resolve auto families minus H_Abstraction."""
+ rmg = _rmg_with_auto(['C'], 500.0)
+ rmg.kinetics_families = ['!H_Abstraction', AUTO]
+ auto_select_libraries(rmg)
+ self.assertIsInstance(rmg.kinetics_families, list)
+ self.assertNotIn('H_Abstraction', rmg.kinetics_families)
+ self.assertIn('R_Recombination', rmg.kinetics_families)
+
+ def test_families_auto_with_multiple_exclusions(self):
+ rmg = _rmg_with_auto(['C'], 500.0)
+ rmg.kinetics_families = ['!H_Abstraction', '!Disproportionation', AUTO]
+ auto_select_libraries(rmg)
+ self.assertNotIn('H_Abstraction', rmg.kinetics_families)
+ self.assertNotIn('Disproportionation', rmg.kinetics_families)
+ self.assertIn('R_Recombination', rmg.kinetics_families)
+
+ def test_families_auto_with_addition(self):
+ """['auto', 'MyCustomFamily'] should include auto families + the custom one."""
+ rmg = _rmg_with_auto(['C'], 500.0)
+ rmg.kinetics_families = [AUTO, 'MyCustomFamily']
+ auto_select_libraries(rmg)
+ self.assertIn('H_Abstraction', rmg.kinetics_families)
+ self.assertIn('MyCustomFamily', rmg.kinetics_families)
+
+ def test_families_auto_with_exclusion_and_addition(self):
+ """['!H_Abstraction', 'auto', 'MyCustomFamily'] should work."""
+ rmg = _rmg_with_auto(['C'], 500.0)
+ rmg.kinetics_families = ['!H_Abstraction', AUTO, 'MyCustomFamily']
+ auto_select_libraries(rmg)
+ self.assertNotIn('H_Abstraction', rmg.kinetics_families)
+ self.assertIn('R_Recombination', rmg.kinetics_families)
+ self.assertIn('MyCustomFamily', rmg.kinetics_families)
+
+
+class TestEndToEnd(unittest.TestCase):
+
+ def test_methane_oxidation(self):
+ species = [Species().from_smiles('C'), Species().from_smiles('[O][O]')]
+ profile = detect_chemistry(species, [_simple_reactor(1500.0)], solvent=None)
+ sets = determine_chemistry_sets(profile, False)
+ self.assertIn(ChemistrySet.OXIDATION, sets)
+ self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE, sets)
+ self.assertNotIn(ChemistrySet.PAH_FORMATION, sets)
+
+ def test_ethane_pyrolysis(self):
+ species = [Species().from_smiles('CC')]
+ profile = detect_chemistry(species, [_simple_reactor(1200.0)], solvent=None)
+ sets = determine_chemistry_sets(profile, False)
+ self.assertIn(ChemistrySet.PAH_FORMATION, sets)
+ self.assertNotIn(ChemistrySet.OXIDATION, sets)
+
+ def test_liquid_pentane_oxidation(self):
+ species = [Species().from_smiles('CCCCC'), Species().from_smiles('[O][O]')]
+ profile = detect_chemistry(species, [_liquid_reactor(400.0)], solvent='pentane')
+ sets = determine_chemistry_sets(profile, False)
+ self.assertIn(ChemistrySet.LIQUID_OXIDATION, sets)
+ self.assertIn(FamilySet.LIQUID_PEROXIDE, determine_kinetics_families(profile))
+
+ def test_nitrogen_sulfur(self):
+ species = [Species().from_smiles('N'), Species().from_smiles('S')]
+ profile = detect_chemistry(species, [_simple_reactor(500.0)], solvent=None)
+ sets = determine_chemistry_sets(profile, False)
+ self.assertIn(ChemistrySet.NITROGEN, sets)
+ self.assertIn(ChemistrySet.SULFUR, sets)
+ self.assertNotIn(ChemistrySet.OXIDATION, sets)
+
+ def test_inert_with_nitrogen(self):
+ species = [Species().from_smiles('[Ar]'), Species().from_smiles('N#N')]
+ profile = detect_chemistry(species, [_simple_reactor(300.0)], solvent=None)
+ sets = determine_chemistry_sets(profile, False)
+ self.assertEqual(sets, [ChemistrySet.PRIMARY, ChemistrySet.NITROGEN])
+
+ def test_oxyfuel_with_inert_bath_gas(self):
+ """
+ Formic acid (OC=O) with non-reactive N2 bath gas at 1000 K.
+ N2 is inert so nitrogen should NOT be triggered.
+ Oxygen is in the fuel so oxidation + CH_pyrolysis_core should trigger.
+ PAH_formation should NOT trigger (oxygen present, no ).
+ """
+ formic_acid = Species().from_smiles('OC=O')
+ n2_bath = Species(reactive=False).from_smiles('N#N')
+ profile = detect_chemistry([formic_acid, n2_bath], [_simple_reactor(1000.0)], solvent=None)
+ self.assertTrue(profile.has_oxygen)
+ self.assertTrue(profile.has_carbon)
+ self.assertFalse(profile.has_nitrogen) # N2 is non-reactive, should be ignored
+ sets = determine_chemistry_sets(profile, pah_libs_requested=False)
+ self.assertIn(ChemistrySet.PRIMARY, sets)
+ self.assertIn(ChemistrySet.OXIDATION, sets)
+ self.assertIn(ChemistrySet.CH_PYROLYSIS_CORE, sets)
+ self.assertNotIn(ChemistrySet.PAH_FORMATION, sets)
+ self.assertNotIn(ChemistrySet.NITROGEN, sets)
+
+
+if __name__ == '__main__':
+ unittest.main()
diff --git a/test/rmgpy/data/kinetics/familyTest.py b/test/rmgpy/data/kinetics/familyTest.py
index 7cac1651728..a84ebca11c4 100644
--- a/test/rmgpy/data/kinetics/familyTest.py
+++ b/test/rmgpy/data/kinetics/familyTest.py
@@ -72,6 +72,7 @@ def setup_class(cls):
"R_Addition_COm",
"R_Recombination",
'Surface_Proton_Electron_Reduction_Alpha',
+ 'Surface_Dissociation_Charge_Separation',
],
)
cls.family = cls.database.families["intra_H_migration"]
@@ -291,6 +292,59 @@ def test_intra__h_migration(self):
assert expected_product.is_isomorphic(products[0], mapping)
+ def test_surface_dissociation_charge_separation(self):
+ """
+ Test that the Surface_Dissociation_Charge_Separation family identifies
+ reatants and labels them and reacts them properly, and check that the
+ products are reacted to form the reactants again.
+ """
+ family = self.database.families["Surface_Dissociation_Charge_Separation"]
+ expected_reactants = [
+ Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,S}
+2 N u0 p0 c+1 {1,S} {3,D} {4,S}
+3 O u0 p2 c0 {2,D}
+4 O u0 p3 c-1 {2,S}
+ """
+ ),
+ Molecule().from_adjacency_list("1 X u0 p0 c0"),
+ ]
+ expected_products = [
+ Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,S}
+2 N u0 p1 c0 {1,S} {3,D}
+3 O u0 p2 c0 {2,D}
+ """
+ ),
+ Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,D}
+2 O u0 p2 c0 {1,D}
+ """
+ ),
+ ]
+
+ labeled_rxn = Reaction(reactants=expected_reactants, products=expected_products)
+ family.add_atom_labels_for_reaction(labeled_rxn)
+
+ fam_products = family.apply_recipe([m.molecule[0] for m in labeled_rxn.reactants])
+ assert len(fam_products) == 2
+ assert expected_products[0].is_isomorphic(fam_products[0])
+ assert expected_products[1].is_isomorphic(fam_products[1])
+
+ fam_reactants = family.apply_recipe(fam_products, forward=False)
+ assert len(fam_reactants) == 2
+ assert expected_reactants[0].is_isomorphic(fam_reactants[0])
+ assert expected_reactants[1].is_isomorphic(fam_reactants[1])
+
+ fam_product_species = [Species(molecule=[p]) for p in fam_products]
+ fam_reactant_species = [Species(molecule=[r]) for r in fam_reactants]
+
+ fam_rxn = Reaction(reactants=fam_reactant_species, products=fam_product_species)
+ assert fam_rxn.is_isomorphic(labeled_rxn)
+
def test_h_abstraction(self):
"""
Test that the H_Abstraction family returns a properly re-labeled product structure.
diff --git a/test/rmgpy/data/thermoTest.py b/test/rmgpy/data/thermoTest.py
index 7d5db15a616..656f4b85547 100644
--- a/test/rmgpy/data/thermoTest.py
+++ b/test/rmgpy/data/thermoTest.py
@@ -102,6 +102,33 @@ def test_loading_external_thermo_library(self):
assert list(database.libraries.keys()) == ["copied_thermo_lib"]
os.remove(thermo_lib_in_test_dir_path)
+ def test_load_unload_libraries(self):
+ """This tests loading and unloading thermo libraries"""
+
+ database = ThermoDatabase()
+ database.load_libraries(
+ path=os.path.join(settings["database.directory"], "thermo", "libraries"),
+ libraries=['primaryThermoLibrary', 'thermo_DFT_CCSDTF12_BAC'],
+ )
+
+ # make sure we are now using primaryThermoLibrary thermo
+ lib_thermo = database.get_thermo_data(Species(smiles="O")) # H2O is in both libraries, first it finds it in primaryThermoLibrary
+ assert 'primaryThermoLibrary' in lib_thermo.comment
+ assert 'thermo_DFT_CCSDTF12_BAC' not in lib_thermo.comment
+
+ # unload library
+ database.unload_libraries(libraries=['primaryThermoLibrary'])
+ lib_thermo = database.get_thermo_data(Species(smiles="O")) # now it finds it in thermo_DFT_CCSDTF12_BAC
+ assert 'thermo_DFT_CCSDTF12_BAC' in lib_thermo.comment
+ assert 'primaryThermoLibrary' not in lib_thermo.comment
+
+ # unload the other library
+ database.unload_libraries(libraries='thermo_DFT_CCSDTF12_BAC') # test unloading with string instead of list
+
+ # because this is an empty database now with no libraries or groups, this should error out
+ with pytest.raises(KeyError): # KeyError because no groups are loaded
+ database.get_thermo_data(Species(smiles="O"))
+
class TestThermoDatabase:
"""
@@ -529,6 +556,127 @@ def test_parse_thermo_comments(self):
assert source["GAV"]["ring"][0][1] == -1 # the weight of benzene contribution should be -1
assert source["GAV"]["group"][0][1] == 2 # weight of the group(Cs-CsCsHH) conbtribution should be 2
+ # Check extract source from comment with tricky group(labelA)\n+ group(labelB) case (newline instead of space to split)
+ tricky_newline_plus_sp = Species(smiles="[O]C(O)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)C(F)(F)F")
+ tricky_newline_plus_sp.thermo = NASA()
+ tricky_newline_plus_sp.thermo.comment = 'Thermo group additivity estimation: group(O2s-CsH) + group(O2s-CsH) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) +\nlongDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCsCsFF) +\nlongDistanceInteraction_noncyclic(Cs(F)2-Cs(F)) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2)\n+ group(CsCsCsFF) + longDistanceInteraction_noncyclic(Cs(F)2-Cs(F)2) + longDistanceInteraction_noncyclic(CsF2-CsF2-CsF2) + group(CsCFOO) +\ngroup(CsCsFFF) + longDistanceInteraction_noncyclic(Cs(F)3-Cs(F)2) + longDistanceInteraction_noncyclic(Cs(F)3-R-Cs(F)2) + radical(O2sj(Cs-F1sO2sCs))'
+ source = self.database.extract_source_from_comments(tricky_newline_plus_sp)
+ assert source['GAV']['group'][0][0].label == "O2s-CsH"
+ assert source['GAV']['group'][0][1] == 2
+ assert source['GAV']['group'][1][0].label == "CsCsCsFF"
+ assert source['GAV']['group'][1][1] == 6
+ assert source['GAV']['group'][2][0].label == "CsCFOO"
+ assert source['GAV']['group'][2][1] == 1
+ assert source['GAV']['group'][3][0].label == "CsCsFFF"
+ assert source['GAV']['group'][3][1] == 1
+ assert source['GAV']['longDistanceInteraction_noncyclic'][0][0].label == "Cs(F)2-Cs(F)2"
+ assert source['GAV']['longDistanceInteraction_noncyclic'][0][1] == 10
+ assert source['GAV']['longDistanceInteraction_noncyclic'][1][0].label == "CsF2-CsF2-CsF2"
+ assert source['GAV']['longDistanceInteraction_noncyclic'][1][1] == 9
+ assert source['GAV']['longDistanceInteraction_noncyclic'][2][0].label == "Cs(F)2-Cs(F)"
+ assert source['GAV']['longDistanceInteraction_noncyclic'][2][1] == 1
+ assert source['GAV']['longDistanceInteraction_noncyclic'][3][0].label == "Cs(F)3-Cs(F)2"
+ assert source['GAV']['longDistanceInteraction_noncyclic'][3][1] == 1
+ assert source['GAV']['longDistanceInteraction_noncyclic'][4][0].label == "Cs(F)3-R-Cs(F)2"
+ assert source['GAV']['longDistanceInteraction_noncyclic'][4][1] == 1
+ assert source['GAV']['radical'][0][0].label == "O2sj(Cs-F1sO2sCs)"
+ assert source['GAV']['radical'][0][1] == 1
+
+ # check extract source from comment with newline through group name
+ newline_sp = Species(smiles="[O]OC(C#N)(C)C")
+ newline_sp.thermo = NASA()
+ newline_sp.thermo.comment = 'Thermo group additivity estimation: group(O2s-OsCs) + group(O2s-OsH) + group(N3t-(Cs)Ct) + group(Cs-(Cds-Cds)CsCsOs) + group(Cs-CsHHH) + group(Cs-\nCsHHH) + group(Ct-N3tCs) + radical(C3COOJ)'
+ source = self.database.extract_source_from_comments(newline_sp)
+ assert "GAV" in source
+ assert source['GAV']['group'][0][0].label == "O2s-OsCs"
+ assert source['GAV']['group'][1][0].label == "O2s-OsH"
+ assert source['GAV']['group'][2][0].label == "N3t-(Cs)Ct"
+ assert source['GAV']['group'][3][0].label == "Cs-(Cds-Cds)CsCsOs"
+ assert source['GAV']['group'][4][0].label == "Cs-CsHHH"
+ assert source['GAV']['group'][5][0].label == "Ct-N3tCs"
+ assert source["GAV"]["radical"][0][0].label == "C3COOJ"
+ assert source["GAV"]["radical"][0][1] == 1
+ assert all(source['GAV']['group'][x][1] == 1 for x in [0, 1, 2, 3, 5])
+ assert source['GAV']['group'][4][1] == 2
+
+ # ------------------------------- Surface Examples ---------------------------
+ # Surface library only
+ OX = rmgpy.species.Species(smiles="O=*")
+ OX.thermo = rmgpy.thermo.NASA()
+ OX.thermo.comment = 'Thermo library: surfaceThermoPt111'
+ source = self.database.extract_source_from_comments(OX)
+ assert "Library" in source
+ assert source["Library"] == "surfaceThermoPt111"
+
+ # Gas library + adsorption correction
+ CH2X = rmgpy.species.Species(smiles="[CH2]=*")
+ CH2X.thermo = rmgpy.thermo.NASA()
+ CH2X.thermo.comment = 'Gas phase thermo for CH2(T) from Thermo library: primaryThermoLibrary. Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111(C=XR2)'
+ source = self.database.extract_source_from_comments(CH2X)
+ assert "Library" in source
+ assert source["Library"] == "primaryThermoLibrary"
+ assert "ADS" in source
+ assert source['ADS']['adsorptionPt111'][0][0].label == 'C=XR2'
+ assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1
+ assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution
+
+ # GAV gas + adsorption correction
+ CO2X = rmgpy.species.Species(smiles="O=C=O.*")
+ CO2X.thermo = rmgpy.thermo.NASA()
+ CO2X.thermo.comment = 'Gas phase thermo for O=C=O from Thermo group additivity estimation: group(Cdd-OdOd). Adsorption correction: + Thermo group additivity estimation:\nadsorptionPt111((CR2)X)'
+ source = self.database.extract_source_from_comments(CO2X)
+ assert "GAV" in source
+ assert source["GAV"]["group"][0][0].label == "Cdd-OdOd"
+ assert source["GAV"]["group"][0][1] == 1 # weight should be 1
+ assert len(source["GAV"]["group"]) == 1 # there should only be one GAV contribution
+ assert "ADS" in source
+ assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2)X'
+ assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1
+ assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution
+
+ # Gas library + radical for HBI + adsorption correction
+ CHOX = rmgpy.species.Species(smiles="O=[CH]*")
+ CHOX.thermo = rmgpy.thermo.NASA()
+ CHOX.thermo.comment = 'Gas phase thermo for [CH]=O from Thermo library: primaryThermoLibrary + radical(HCdsJO). Adsorption correction: + Thermo group additivity estimation: adsorptionPt111(C-XR3)'
+ source = self.database.extract_source_from_comments(CHOX)
+ assert "Library" in source
+ assert source["Library"] == "primaryThermoLibrary"
+ assert "GAV" in source
+ assert source["GAV"]["radical"][0][0].label == "HCdsJO"
+ assert source["GAV"]["radical"][0][1] == 1 # weight should be 1
+ assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution
+ assert "ADS" in source
+ assert source['ADS']['adsorptionPt111'][0][0].label == 'C-XR3'
+ assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1
+ assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution
+
+ # Also test that the database is retrieving and assembling comments correctly
+ # Here we use the extremely limited test database already available in memory
+ OX_comment = self.database.get_thermo_data(OX).comment
+ OX.thermo.comment = OX_comment # set the comment to be the generated comment
+ source = self.database.extract_source_from_comments(OX)
+ assert "Library" in source
+ assert source["Library"] == "primaryThermoLibrary"
+ assert 'ADS' in source
+ assert source['ADS']['adsorptionPt111'][0][0].label == 'OX'
+ assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1
+ assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution
+
+ # an example with a radical and a library and an adsorption correction
+ CH2CHCH_ads = rmgpy.species.Species(smiles="[CH]C=C.*")
+ CH2CHCH_ads.thermo = self.database.get_thermo_data(CH2CHCH_ads)
+ source = self.database.extract_source_from_comments(CH2CHCH_ads)
+ assert "Library" in source
+ assert source["Library"] == "DFT_QCI_thermo"
+ assert "GAV" in source
+ assert source["GAV"]["radical"][0][0].label == "AllylJ2_triplet"
+ assert source["GAV"]["radical"][0][1] == 1 # weight should be 1
+ assert len(source["GAV"]["radical"]) == 1 # there should only be one radical contribution
+ assert "ADS" in source
+ assert source['ADS']['adsorptionPt111'][0][0].label == '(CR2CR)X'
+ assert source['ADS']['adsorptionPt111'][0][1] == 1 # weight should be 1
+ assert len(source['ADS']['adsorptionPt111']) == 1 # there should only be one adsorption contribution
+
def test_species_thermo_generation_hbi_library(self):
"""Test thermo generation for species objects for HBI correction on library value.
@@ -1128,26 +1276,26 @@ def test_adsorbate_thermo_raises_error(self):
)
groups = self.database.groups["adsorptionPt111"].entries
# save a few things we're about to change
- _nstarparent = groups["N*"].parent
- _nstardata = groups["N*"].data
- _ostardata = groups["O*"].data
+ _nstarparent = groups["NX"].parent
+ _nstardata = groups["NX"].data
+ _ostardata = groups["OX"].data
# change the database to cause errors
- groups["N*"].data = None
- groups["N*"].parent = None
+ groups["NX"].data = None
+ groups["NX"].parent = None
with pytest.raises(DatabaseError, match="Could not find an adsorption correction"):
thermo = self.database.get_thermo_data(spec)
- groups["N*"].data = "O*"
- groups["O*"].data = "N*"
+ groups["NX"].data = "OX"
+ groups["OX"].data = "NX"
with pytest.raises(DatabaseError, match="circular reference"):
thermo = self.database.get_thermo_data(spec)
- groups["N*"].data = "O*"
- groups["O*"].data = "foobar"
+ groups["NX"].data = "OX"
+ groups["OX"].data = "foobar"
with pytest.raises(DatabaseError, match="non-existing group"):
thermo = self.database.get_thermo_data(spec)
# Now restore the database to working order
- groups["N*"].parent = _nstarparent
- groups["N*"].data = _nstardata
- groups["O*"].data = _ostardata
+ groups["NX"].parent = _nstarparent
+ groups["NX"].data = _nstardata
+ groups["OX"].data = _ostardata
def test_adsorbate_thermo_generation_bidentate_weird_CO(self):
"""Test thermo generation for a bidentate adsorbate weird resonance of CO
@@ -2102,11 +2250,11 @@ def test_is_bicyclic1(self):
The test molecule is bicyclic, we expect is_bicyclic()
returns True.
"""
- smiles = "C1=CCC2C1=C2"
- mol = Molecule().from_smiles(smiles)
- polyring = mol.get_disparate_cycles()[1][0]
-
- assert is_bicyclic(polyring)
+ for smiles in ["C1=CCC2C1=C2", "C1=CC2C=CC1=CC2", "C1=CC2C=CC=1C=C2"]:
+ mol = Molecule().from_smiles(smiles)
+ polyrings = mol.get_disparate_cycles()[1]
+ assert len(polyrings) == 1
+ assert is_bicyclic(polyrings[0])
def test_is_bicyclic2(self):
"""
@@ -2272,6 +2420,32 @@ def test_bicyclic_decomposition_for_polyring_using_alkane_tricyclic(self):
expected_aromatic_bond_num_in_bicyclics = [0, 0, 0]
assert aromatic_bond_num_in_bicyclics == expected_aromatic_bond_num_in_bicyclics
+ def test_deterministic_bicyclic_decomposition(self):
+ """
+ Test that the decomposition of a polyring into bicyclics and then into single rings
+ is deterministic. This is important because the thermo estimation depends on the
+ order of the rings. Currently this is not guaranteed, so if this test fails, we
+ just skip it.
+
+ See https://github.com/ReactionMechanismGenerator/RMG-Py/issues/2562
+ """
+ mol = Molecule(smiles="C1=CC2C=CC=1C=C2")
+ polyrings = mol.get_disparate_cycles()[1]
+ assert len(polyrings) == 1
+ assert rmgpy.data.thermo.is_bicyclic(polyrings[0])
+ polyring = polyrings[0]
+ submol = rmgpy.data.thermo.convert_ring_to_sub_molecule(polyring)[0]
+ rings = rmgpy.data.thermo.split_bicyclic_into_single_rings(submol)
+ assert len(rings) == 2
+ ring_smiles = [ring.to_smiles() for ring in rings]
+ for smiles in ring_smiles:
+ assert smiles in ["C1C=CC=C=C1", "C1C=CCC=C1"]
+ # Ensure that the order is the same every time
+ try:
+ assert ring_smiles == ["C1C=CC=C=C1", "C1C=CCC=C1"]
+ except AssertionError as e:
+ pytest.skip(f"Skipping because not yet deterministic (#2562): {e}")
+
def test_combine_cycles(self):
"""
This method tests the combine_cycles method, which simply joins two lists
diff --git a/test/rmgpy/molecule/atomtypeTest.py b/test/rmgpy/molecule/atomtypeTest.py
index fc796fbbd5b..200922b9a4f 100644
--- a/test/rmgpy/molecule/atomtypeTest.py
+++ b/test/rmgpy/molecule/atomtypeTest.py
@@ -165,7 +165,7 @@ def test_make_sample_molecule(self):
except:
logging.exception(f"Couldn't make sample molecule for atomType {name}")
failed.append(name)
- assert not failed, f"Couldn't make sample molecules for types {', '.join(failed)}"
+ assert len(failed) == 0, f"Couldn't make sample molecules for types {', '.join(failed)}"
@pytest.mark.skip(reason="WIP")
def test_make_sample_molecule_wip(self):
@@ -824,7 +824,10 @@ def setup_class(self):
"""1 C u0 p0 c+1 {2,T}
2 C u0 p1 c-1 {1,T}"""
)
-
+
+ self.mol96 = Molecule().from_adjacency_list('''1 Li u0 p0 c+1''')
+ self.mol97 = Molecule().from_adjacency_list('''1 Li u1 p0 c0''')
+
self.electron = Molecule().from_adjacency_list('''1 e u1 p0 c-1''')
self.proton = Molecule().from_adjacency_list('''1 H u0 p0 c+1''')
@@ -992,6 +995,13 @@ def test_fluorine_types(self):
"""
assert self.atom_type(self.mol75, 1) == "F1s"
+ def test_lithium_types(self):
+ """
+ Test that get_atomtype() returns appropriate lithium atom types.
+ """
+ assert self.atom_type(self.mol96, 0) == "Li+"
+ assert self.atom_type(self.mol97, 0) == "Li0"
+
def test_other_types(self):
"""
Test that get_atomtype() returns appropriate types for other misc inerts.
diff --git a/test/rmgpy/molecule/converterTest.py b/test/rmgpy/molecule/converterTest.py
index d9395a90a3a..142fc0f598d 100644
--- a/test/rmgpy/molecule/converterTest.py
+++ b/test/rmgpy/molecule/converterTest.py
@@ -134,6 +134,20 @@ def test_atom_mapping_3(self):
assert [atom.number for atom in mol.atoms] == [1, 6, 7]
assert [rdkitmol.GetAtomWithIdx(idx).GetAtomicNum() for idx in range(3)] == [1, 6, 7]
+ def test_ignoring_bonds(self):
+ """Test that to_rdkit_mol returns correct indices and atom mappings, when ignoring bond orders."""
+
+ mol = Molecule().from_smiles("CC1CCC=C1C=O")
+ rdkitmol, rd_atom_indices = to_rdkit_mol(mol, remove_h=False,
+ sanitize=False, return_mapping=True,
+ ignore_bond_orders=True)
+ for atom in mol.atoms:
+ # Check that all atoms are found in mapping
+ assert atom in rd_atom_indices
+ # Check that all bonds are in rdkitmol with correct mapping and no order
+ for connected_atom, bond in atom.bonds.items():
+ bond_type = str(rdkitmol.GetBondBetweenAtoms(rd_atom_indices[atom], rd_atom_indices[connected_atom]).GetBondType())
+ assert bond_type == "UNSPECIFIED"
class ConverterTest:
def setup_class(self):
diff --git a/test/rmgpy/molecule/drawTest.py b/test/rmgpy/molecule/drawTest.py
index 6c416f171d8..dec288ab79a 100644
--- a/test/rmgpy/molecule/drawTest.py
+++ b/test/rmgpy/molecule/drawTest.py
@@ -297,4 +297,102 @@ def test_draw_bidentate_adsorbate(self):
surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(molecule, file_format="png", target=path)
assert os.path.exists(path), "File doesn't exist"
os.unlink(path)
- assert isinstance(surface, ImageSurface)
\ No newline at end of file
+ assert isinstance(surface, ImageSurface)
+
+ def test_draw_bidentate_with_charge_separation(self):
+ molecule = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,S}
+2 X u0 p0 c0 {4,D}
+3 O u0 p2 c0 {1,S} {4,S}
+4 N u0 p0 c+1 {3,S} {2,D} {5,S}
+5 O u0 p3 c-1 {4,S}
+ """
+ )
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf")
+ assert isinstance(surface, PDFSurface)
+
+ def test_draw_cation(self):
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ path = "test_molecule.pdf"
+ if os.path.exists(path):
+ os.unlink(path)
+ polycycle = Molecule(smiles="C1=NC2=C(N1)C(=O)[NH2+]C(=N2)N")
+ surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path)
+ assert isinstance(surface, PDFSurface)
+ assert width > height
+ os.unlink(path)
+
+ def test_draw_anion(self):
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ path = "test_molecule.pdf"
+ if os.path.exists(path):
+ os.unlink(path)
+ polycycle = Molecule(smiles="c1ccc2c3ccccc3[CH-]c2c1")
+ surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path)
+ assert isinstance(surface, PDFSurface)
+ assert width > height
+ os.unlink(path)
+
+ def test_draw_zwitterion(self):
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ path = "test_molecule.pdf"
+ if os.path.exists(path):
+ os.unlink(path)
+ polycycle = Molecule(smiles="[NH3+]CC(=O)[O-]")
+ surface, _cr, (_xoff, _yoff, width, height) = self.drawer.draw(polycycle, file_format="pdf", target=path)
+ assert isinstance(surface, PDFSurface)
+ assert width > height
+ os.unlink(path)
+
+ def test_draw_cation_on_surface(self):
+ molecule = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,S}
+2 X u0 p0 c0 {3,S}
+3 O u0 p1 c+1 {1,S} {2,S} {4,S}
+4 H u0 p0 c0 {3,S}
+ """
+ )
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ path = "test_molecule.pdf"
+ if os.path.exists(path):
+ os.unlink(path)
+ surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf", target=path)
+ assert isinstance(surface, PDFSurface)
+ os.unlink(path)
+
+
+ def test_draw_anion_on_surface(self):
+ molecule = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,S}
+2 O u0 p3 c-1 {1,S}
+ """
+ )
+ try:
+ from cairocffi import PDFSurface
+ except ImportError:
+ from cairo import PDFSurface
+ path = "test_molecule.pdf"
+ if os.path.exists(path):
+ os.unlink(path)
+ surface, _cr, (_xoff, _yoff, _width, _height) = self.drawer.draw(molecule, file_format="pdf", target=path)
+ assert isinstance(surface, PDFSurface)
+ os.unlink(path)
diff --git a/test/rmgpy/molecule/elementTest.py b/test/rmgpy/molecule/elementTest.py
index 51c5bd3675e..49944cfb2fc 100644
--- a/test/rmgpy/molecule/elementTest.py
+++ b/test/rmgpy/molecule/elementTest.py
@@ -100,3 +100,6 @@ def test_chemkin_name(self):
o18 = rmgpy.molecule.element.get_element("O", isotope=18)
assert o18.chemkin_name == "OI"
+
+ electron = rmgpy.molecule.element.get_element("e")
+ assert electron.chemkin_name == "E"
diff --git a/test/rmgpy/molecule/fragmentTest.py b/test/rmgpy/molecule/fragmentTest.py
index 1975b442f6f..2c9092051e3 100644
--- a/test/rmgpy/molecule/fragmentTest.py
+++ b/test/rmgpy/molecule/fragmentTest.py
@@ -605,6 +605,12 @@ def test_fragment_get_num_atoms(self):
assert fragment.get_num_atoms(element="C") == 2
assert fragment.get_num_atoms(element="H") == 4
+ def test_fragment_get_num_heavy_atoms(self):
+ # [CH2]CR has 2 heavy atoms (C), 3 H, and 1 cutting label (R)
+ fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("[CH2]CR")
+
+ assert fragment.get_num_heavy_atoms() == 2
+
def test_fragment_to_smiles(self):
adj = """1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
2 R u0 p0 c0 {1,S}
@@ -747,7 +753,7 @@ def test_get_representative_molecule(self):
def test_to_rdkit_mol(self):
fragment = rmgpy.molecule.fragment.Fragment().from_smiles_like_string("CCR")
- rdmol, _ = fragment.to_rdkit_mol()
+ rdmol, _ = fragment.to_rdkit_mol(remove_h=False, return_mapping=True)
assert rdmol.GetNumAtoms() == 8
diff --git a/test/rmgpy/molecule/graphTest.py b/test/rmgpy/molecule/graphTest.py
index f7781d3ae73..da4daafefce 100644
--- a/test/rmgpy/molecule/graphTest.py
+++ b/test/rmgpy/molecule/graphTest.py
@@ -608,25 +608,6 @@ def test_get_all_cyclic_vertices(self):
self.graph.add_edge(edge) # To create a cycle
assert len(self.graph.get_all_cyclic_vertices()) == 4
- def test_get_all_polycylic_vertices(self):
- edge = Edge(self.graph.vertices[0], self.graph.vertices[3])
- self.graph.add_edge(edge) # To create a cycle
- assert self.graph.get_all_polycyclic_vertices() == []
- edge2 = Edge(self.graph.vertices[0], self.graph.vertices[5])
- self.graph.add_edge(edge2) # Create another cycle to generate two fused cycles
- assert len(self.graph.get_all_polycyclic_vertices()) == 2
- # Add new vertices and edges to generate a spirocyclic cycle
- vertices = [Vertex() for _ in range(2)]
- for vertex in vertices:
- self.graph.add_vertex(vertex)
- edges = [
- Edge(self.graph.vertices[5], self.graph.vertices[6]),
- Edge(self.graph.vertices[6], self.graph.vertices[7]),
- Edge(self.graph.vertices[5], self.graph.vertices[7]),
- ]
- for edge in edges:
- self.graph.add_edge(edge)
- assert len(self.graph.get_all_polycyclic_vertices()) == 3
def test_get_all_cycles(self):
"""
@@ -673,255 +654,6 @@ def test_get_all_simple_cycles_of_size(self):
cycle_list = self.graph.get_all_simple_cycles_of_size(6)
assert len(cycle_list) == 0
- def test_get_smallest_set_of_smallest_rings(self):
- """
- Test the Graph.get_smallest_set_of_smallest_rings() method.
- """
- cycle_list = self.graph.get_smallest_set_of_smallest_rings()
- assert len(cycle_list) == 0
- edge = Edge(self.graph.vertices[0], self.graph.vertices[3])
- self.graph.add_edge(edge) # To create a cycle
- cycle_list = self.graph.get_smallest_set_of_smallest_rings()
- assert len(cycle_list) == 1
- assert len(cycle_list[0]) == 4
-
- def test_get_relevant_cycles(self):
- """
- Test the Graph.get_relevant_cycles() method.
- """
- cycle_list = self.graph.get_relevant_cycles()
- assert len(cycle_list) == 0
- # Create a cycle of length 4
- edge = Edge(self.graph.vertices[0], self.graph.vertices[3])
- self.graph.add_edge(edge)
- # Create a second cycle of length 4
- edge = Edge(self.graph.vertices[0], self.graph.vertices[5])
- self.graph.add_edge(edge)
- # Create a bridge forming multiple cycles of length 4
- edge = Edge(self.graph.vertices[1], self.graph.vertices[4])
- self.graph.add_edge(edge)
-
- # SSSR should be 3 cycles of length 4
- cycle_list = self.graph.get_smallest_set_of_smallest_rings()
- assert len(cycle_list) == 3
- size_list = sorted([len(cycle) for cycle in cycle_list])
- assert size_list == [4, 4, 4]
-
- # RC should be 5 cycles of length 4
- cycle_list = self.graph.get_relevant_cycles()
- assert len(cycle_list) == 5
- size_list = sorted([len(cycle) for cycle in cycle_list])
- assert size_list == [4, 4, 4, 4, 4]
-
- def test_cycle_list_order_sssr(self):
- """
- Test that get_smallest_set_of_smallest_rings return vertices in the proper order.
-
- There are methods such as symmetry and molecule drawing which rely
- on the fact that subsequent list entries are connected.
- """
- # Create a cycle of length 5
- edge = Edge(self.graph.vertices[0], self.graph.vertices[4])
- self.graph.add_edge(edge)
- # Test SSSR
- sssr = self.graph.get_smallest_set_of_smallest_rings()
- assert len(sssr) == 1
- assert len(sssr[0]) == 5
- for i in range(5):
- assert self.graph.has_edge(sssr[0][i], sssr[0][i - 1])
-
- def test_cycle_list_order_relevant_cycles(self):
- """
- Test that get_relevant_cycles return vertices in the proper order.
-
- There are methods such as symmetry and molecule drawing which rely
- on the fact that subsequent list entries are connected.
- """
- # Create a cycle of length 5
- edge = Edge(self.graph.vertices[0], self.graph.vertices[4])
- self.graph.add_edge(edge)
- # Test RC
- rc = self.graph.get_relevant_cycles()
- assert len(rc) == 1
- assert len(rc[0]) == 5
- for i in range(5):
- assert self.graph.has_edge(rc[0][i], rc[0][i - 1])
-
- def test_get_polycyclic_rings(self):
- """
- Test that the Graph.get_polycycles() method returns only polycyclic rings.
- """
- vertices = [Vertex() for _ in range(27)]
- bonds = [
- (0, 1),
- (1, 2),
- (2, 3),
- (3, 4),
- (4, 5),
- (5, 6),
- (6, 7),
- (7, 8),
- (8, 9),
- (9, 10),
- (10, 11),
- (11, 12),
- (12, 13),
- (13, 14),
- (14, 15),
- (14, 12),
- (12, 16),
- (16, 10),
- (10, 17),
- (17, 18),
- (18, 19),
- (9, 20),
- (20, 21),
- (21, 7),
- (6, 22),
- (22, 23),
- (22, 4),
- (23, 3),
- (23, 24),
- (24, 25),
- (25, 1),
- ]
- edges = []
- for bond in bonds:
- edges.append(Edge(vertices[bond[0]], vertices[bond[1]]))
-
- graph = Graph()
- for vertex in vertices:
- graph.add_vertex(vertex)
- for edge in edges:
- graph.add_edge(edge)
- graph.update_connectivity_values()
-
- sssr = graph.get_smallest_set_of_smallest_rings()
- assert len(sssr) == 6
- polycyclic_vertices = set(graph.get_all_polycyclic_vertices())
- expected_polycyclic_vertices = set([vertices[index] for index in [3, 23, 4, 22, 12]])
-
- assert polycyclic_vertices == expected_polycyclic_vertices
-
- continuous_rings = graph.get_polycycles()
- expected_continuous_rings = [
- [vertices[index] for index in [1, 2, 3, 4, 5, 6, 22, 23, 24, 25]],
- # [vertices[index] for index in [7,8,9,21,20]], # This is a nonpolycyclic ring
- [vertices[index] for index in [10, 11, 12, 13, 14, 16]],
- ]
-
- # Convert to sets for comparison purposes
- continuous_rings = [set(ring) for ring in continuous_rings]
- expected_continuous_rings = [set(ring) for ring in expected_continuous_rings]
- for ring in expected_continuous_rings:
- assert ring in continuous_rings
-
- def test_get_max_cycle_overlap(self):
- """
- Test that get_max_cycle_overlap returns the correct overlap numbers
- for different graphs.
- """
-
- def make_graph(edge_inds):
- nvert = max(max(inds) for inds in edge_inds) + 1
- vertices = [Vertex() for _ in range(nvert)]
- graph = Graph(vertices)
- for idx1, idx2 in edge_inds:
- graph.add_edge(Edge(vertices[idx1], vertices[idx2]))
- return graph
-
- linear = make_graph([(0, 1), (1, 2)])
- mono = make_graph([(0, 1), (0, 2), (1, 2), (2, 3), (3, 4), (3, 5), (4, 5)])
- spiro = make_graph([(0, 1), (0, 2), (1, 2), (2, 3), (2, 4), (3, 4)])
- fused = make_graph([(0, 1), (0, 2), (1, 2), (1, 3), (2, 3)])
- bridged = make_graph([(0, 1), (0, 2), (1, 3), (1, 4), (2, 3), (2, 5), (4, 5)])
- cube = make_graph(
- [
- (0, 1),
- (0, 2),
- (0, 4),
- (1, 3),
- (1, 5),
- (2, 3),
- (2, 6),
- (3, 7),
- (4, 5),
- (4, 6),
- (5, 7),
- (6, 7),
- ]
- )
-
- assert linear.get_max_cycle_overlap() == 0
- assert mono.get_max_cycle_overlap() == 0
- assert spiro.get_max_cycle_overlap() == 1
- assert fused.get_max_cycle_overlap() == 2
- assert bridged.get_max_cycle_overlap() == 3
- # With the current algorithm for maximum overlap determination, a cube
- # only has an overlap of 2, because the set of relevant cycles
- # contains the six four-membered faces. This could be changed in the
- # future.
- assert cube.get_max_cycle_overlap() == 2
-
- def test_get_largest_ring(self):
- """
- Test that the Graph.get_polycycles() method returns only polycyclic rings.
- """
- vertices = [Vertex() for _ in range(27)]
- bonds = [
- (0, 1),
- (1, 2),
- (2, 3),
- (3, 4),
- (4, 5),
- (5, 6),
- (6, 7),
- (9, 10),
- (10, 11),
- (11, 12),
- (12, 13),
- (13, 14),
- (14, 15),
- (12, 16),
- (10, 17),
- (17, 18),
- (18, 19),
- (9, 20),
- (20, 21),
- (6, 22),
- (22, 23),
- (22, 8),
- (8, 4),
- (23, 3),
- (23, 24),
- (24, 25),
- (25, 1),
- ]
- edges = []
- for bond in bonds:
- edges.append(Edge(vertices[bond[0]], vertices[bond[1]]))
-
- graph = Graph()
- for vertex in vertices:
- graph.add_vertex(vertex)
- for edge in edges:
- graph.add_edge(edge)
- graph.update_connectivity_values()
-
- rings = graph.get_polycycles()
- assert len(rings) == 1
-
- # ensure the last ring doesn't include vertex 8, since it isn't in the
- # longest ring. Try two different items since one might contain the vertex 8
- long_ring = graph.get_largest_ring(rings[0][0])
- long_ring2 = graph.get_largest_ring(rings[0][1])
-
- if len(long_ring) > len(long_ring2):
- longest_ring = long_ring
- else:
- longest_ring = long_ring2
-
- assert len(longest_ring) == len(rings[0]) - 1
def test_sort_cyclic_vertices(self):
"""Test that sort_cyclic_vertices works properly for a valid input."""
diff --git a/test/rmgpy/molecule/moleculeTest.py b/test/rmgpy/molecule/moleculeTest.py
index 9621d6fc7d4..38447d63107 100644
--- a/test/rmgpy/molecule/moleculeTest.py
+++ b/test/rmgpy/molecule/moleculeTest.py
@@ -2139,6 +2139,48 @@ def test_surface_molecules(self):
assert adsorbed.number_of_surface_sites() == 1
assert bidentate.number_of_surface_sites() == 2
+ def test_get_num_heavy_atoms(self):
+ """
+ Test the Molecule.get_num_heavy_atoms() method, which counts atoms
+ that are not Hydrogen ('H') nor a surface site ('X').
+ """
+ # gas-phase molecule: ethane, 2 heavy atoms (C), 6 H
+ ethane = Molecule(smiles="CC")
+ assert ethane.get_num_heavy_atoms() == 2
+
+ # water: 1 heavy atom (O), 2 H
+ water = Molecule(smiles="O")
+ assert water.get_num_heavy_atoms() == 1
+
+ # lone surface site has no heavy atoms
+ surface_site = Molecule().from_adjacency_list(
+ """
+ 1 X u0 p0 c0
+ """
+ )
+ assert surface_site.get_num_heavy_atoms() == 0
+
+ # adsorbed H on a surface site: neither H nor X is heavy
+ adsorbed = Molecule().from_adjacency_list(
+ """
+ 1 H u0 p0 c0 {2,S}
+ 2 X u0 p0 c0 {1,S}
+ """
+ )
+ assert adsorbed.get_num_heavy_atoms() == 0
+
+ # bidentate adsorbate: 2 carbons are heavy, the H and X atoms are not
+ bidentate = Molecule().from_adjacency_list(
+ """
+ 1 C u0 p0 c0 {2,D} {3,S} {4,S}
+ 2 C u0 p0 c0 {1,D} {5,S} {6,S}
+ 3 H u0 p0 c0 {1,S}
+ 4 X u0 p0 c0 {1,S}
+ 5 H u0 p0 c0 {2,S}
+ 6 X u0 p0 c0 {2,S}
+ """)
+ assert bidentate.get_num_heavy_atoms() == 2
+
def test_is_multidentate(self):
"""
Test that we can identify a multidentate adsorbate
@@ -2308,9 +2350,82 @@ def test_large_mol_creation(self):
assert False, "Creation of C{} failed!".format(i)
def test_get_polycyclic_rings(self):
+ """
+ Test that the Graph.get_polycycles() method returns only polycyclic rings.
+
+ The tested molecule is unrealistic chemically speaking, but is a good test
+ of the codebase.
+ """
+ vertices = [Atom(element="C") for _ in range(27)]
+ bonds = [
+ (0, 1),
+ (1, 2),
+ (2, 3),
+ (3, 4),
+ (4, 5),
+ (5, 6),
+ (6, 7),
+ (7, 8),
+ (8, 9),
+ (9, 10),
+ (10, 11),
+ (11, 12),
+ (12, 13),
+ (13, 14),
+ (14, 15),
+ (14, 12),
+ (12, 16),
+ (16, 10),
+ (10, 17),
+ (17, 18),
+ (18, 19),
+ (9, 20),
+ (20, 21),
+ (21, 7),
+ (6, 22),
+ (22, 23),
+ (22, 4),
+ (23, 3),
+ (23, 24),
+ (24, 25),
+ (25, 1),
+ ]
+ edges = []
+ for bond in bonds:
+ edges.append(Bond(vertices[bond[0]], vertices[bond[1]]))
+
+ graph = Molecule()
+ for vertex in vertices:
+ graph.add_atom(vertex)
+ for edge in edges:
+ graph.add_bond(edge)
+ graph.update_connectivity_values()
+
+ sssr = graph.get_smallest_set_of_smallest_rings()
+ assert len(sssr) == 6
+ polycyclic_vertices = set(graph.get_all_polycyclic_vertices())
+ expected_polycyclic_vertices = set([vertices[index] for index in [3, 23, 4, 22, 12]])
+
+ assert polycyclic_vertices == expected_polycyclic_vertices
+
+ continuous_rings = graph.get_polycycles()
+ expected_continuous_rings = [
+ [vertices[index] for index in [1, 2, 3, 4, 5, 6, 22, 23, 24, 25]],
+ # [vertices[index] for index in [7,8,9,21,20]], # This is a nonpolycyclic ring
+ [vertices[index] for index in [10, 11, 12, 13, 14, 16]],
+ ]
+
+ # Convert to sets for comparison purposes
+ continuous_rings = [set(ring) for ring in continuous_rings]
+ expected_continuous_rings = [set(ring) for ring in expected_continuous_rings]
+ for ring in expected_continuous_rings:
+ assert ring in continuous_rings
+
+
+ def test_get_polycyclic_rings_common_molecules(self):
"""
Test that polycyclic rings within a molecule are returned properly in the function
- `Graph().get_polycycles()`
+ `Molecule.get_polycycles()`
"""
# norbornane
m1 = Molecule(smiles="C1CC2CCC1C2")
@@ -2414,7 +2529,7 @@ def test_get_disparate_rings(self):
def test_get_smallest_set_of_smallest_rings(self):
"""
Test that SSSR within a molecule are returned properly in the function
- `Graph().get_smallest_set_of_smallest_rings()`
+ `Molecule().get_smallest_set_of_smallest_rings()`
"""
m1 = Molecule(smiles="C12CCC1C3CC2CC3")
@@ -2447,95 +2562,33 @@ def test_get_smallest_set_of_smallest_rings(self):
sssr5_sizes_expected = [6, 6, 6]
assert sssr5_sizes == sssr5_sizes_expected
- def test_get_deterministic_smallest_set_of_smallest_rings_case1(self):
- """
- Test fused tricyclic can be decomposed into single rings more
- deterministically
- """
- smiles = "C1C2C3C=CCCC2C13"
-
- previous_num_shared_atoms_list = None
- # repeat 100 time to test non-deterministic behavior
- for _ in range(100):
- mol = Molecule().from_smiles(smiles)
- sssr_det = mol.get_deterministic_sssr()
-
- num_shared_atoms_list = []
- for i, ring_i in enumerate(sssr_det):
- for j in range(i + 1, len(sssr_det)):
- ring_j = sssr_det[j]
- num_shared_atoms = len(set(ring_i).intersection(ring_j))
-
- num_shared_atoms_list.append(num_shared_atoms)
-
- num_shared_atoms_list = sorted(num_shared_atoms_list)
-
- if previous_num_shared_atoms_list is None:
- previous_num_shared_atoms_list = num_shared_atoms_list
- continue
- assert num_shared_atoms_list == previous_num_shared_atoms_list
- previous_num_shared_atoms_list = num_shared_atoms_list
-
- def test_get_deterministic_smallest_set_of_smallest_rings_case2(self):
- """
- Test if two possible smallest rings can join the smallest set
- the method can pick one of them deterministically using sum of
- atomic numbers along the rings.
- In this test case and with currect method setup, ring (CCSCCCCC)
- will be picked rather than ring(CCCOCC).
- """
-
- smiles = "C1=CC2C3CSC(CO3)C2C1"
-
- previous_atom_symbols_list = None
- # repeat 100 time to test non-deterministic behavior
- for _ in range(100):
- mol = Molecule().from_smiles(smiles)
- sssr_det = mol.get_deterministic_sssr()
-
- atom_symbols_list = []
- for ring in sssr_det:
- atom_symbols = sorted([a.element.symbol for a in ring])
- atom_symbols_list.append(atom_symbols)
-
- atom_symbols_list = sorted(atom_symbols_list)
-
- if previous_atom_symbols_list is None:
- previous_atom_symbols_list = atom_symbols_list
- continue
- assert atom_symbols_list == previous_atom_symbols_list
- previous_atom_symbols_list = atom_symbols_list
-
- def test_get_deterministic_smallest_set_of_smallest_rings_case3(self):
- """
- Test if two possible smallest rings can join the smallest set
- the method can pick one of them deterministically when their
- sum of atomic numbers along the rings are also equal to each other.
-
- To break the tie, one option we have is to consider adding contributions
- from other parts of the molecule, such as atomic number weighted connectivity
- value and differentiate bond orders when calculating connectivity values.
- """
- smiles = "C=1CC2C3CSC(O[Si]3)C2C1"
-
- previous_atom_symbols_list = None
- # repeat 100 time to test non-deterministic behavior
- for _ in range(100):
- mol = Molecule().from_smiles(smiles)
- sssr_det = mol.get_deterministic_sssr()
-
- atom_symbols_list = []
- for ring in sssr_det:
- atom_symbols = sorted([a.element.symbol for a in ring])
- atom_symbols_list.append(atom_symbols)
-
- atom_symbols_list = sorted(atom_symbols_list)
-
- if previous_atom_symbols_list is None:
- previous_atom_symbols_list = atom_symbols_list
- continue
- assert atom_symbols_list == previous_atom_symbols_list
- previous_atom_symbols_list = atom_symbols_list
+ mol = Molecule(smiles="CCCC")
+ cycle_list = mol.get_smallest_set_of_smallest_rings()
+ assert len(cycle_list) == 0
+
+ # Create a cycle of length 4
+ mol = Molecule(smiles="C1CCC1")
+ cycle_list = mol.get_smallest_set_of_smallest_rings()
+ assert len(cycle_list) == 1
+ assert len(cycle_list[0]) == 4
+
+ # Create a bridged tricyclic
+ mol = Molecule(smiles="C1C(C)CC2CC1C=C3C2CCC3")
+ cycle_list = mol.get_smallest_set_of_smallest_rings()
+ assert len(cycle_list) == 3
+ assert len(cycle_list[0]) == 5
+
+ # Test cubane - see:
+ # https://www.rdkit.org/docs/GettingStartedInPython.html#the-sssr-problem
+ # for why this test is the way it is
+ mol = Molecule(smiles="C12C3C4C1C5C2C3C45")
+ cycle_list = mol.get_smallest_set_of_smallest_rings()
+ assert len(cycle_list) == 5 # unsatisfying number, but 'true'
+ for cycle in cycle_list:
+ assert len(cycle) == 4
+
+ cycle_list = mol.get_smallest_set_of_smallest_rings(symmetrized=True)
+ assert len(cycle_list) == 6 # satisfying, but no longer the 'true' SSSR
def test_to_group(self):
"""
@@ -2980,10 +3033,23 @@ def test_ring_perception(self):
mol = Molecule(smiles="c12ccccc1cccc2")
mol.identify_ring_membership()
for atom in mol.atoms:
- if atom.element == "C":
+ if atom.is_carbon():
assert atom.props["inRing"]
- elif atom.element == "H":
+ elif atom.is_hydrogen():
assert not atom.props["inRing"]
+ else:
+ raise ValueError("Unexpected atom type")
+ mol = Molecule(smiles="C1CCCC(O)CCCCCCC1")
+ mol.identify_ring_membership()
+ for atom in mol.atoms:
+ if atom.is_carbon():
+ assert atom.props["inRing"]
+ elif atom.is_hydrogen():
+ assert not atom.props["inRing"]
+ elif atom.is_oxygen():
+ assert not atom.props["inRing"]
+ else:
+ raise ValueError("Unexpected atom type")
def test_enumerate_bonds(self):
"""Test that generating a count of bond labels works properly."""
@@ -3032,7 +3098,7 @@ def test_count_aromatic_rings(self):
assert result == [2, 1, 0]
- def test_remove_van_der_waals_bonds(self):
+ def test_remove_van_der_waals_bond(self):
"""Test we can remove a van-der-Waals bond"""
adjlist = """
1 X u0 p0 c0 {2,vdW}
@@ -3043,3 +3109,373 @@ def test_remove_van_der_waals_bonds(self):
assert len(mol.get_all_edges()) == 2
mol.remove_van_der_waals_bonds()
assert len(mol.get_all_edges()) == 1
+
+ def test_remove_van_der_waals_bonds_bidentate(self):
+ """vdW bonds are preserved on bidentates that also have a covalent X bond, removed otherwise."""
+ # Bidentate ethyl-like fragment: one C–X covalent, one C~X vdW. The vdW should be preserved.
+ mixed = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,S}
+2 X u0 p0 c0 {4,vdW}
+3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S}
+4 C u0 p0 c0 {2,vdW} {3,S} {7,S} {8,S} {9,S}
+5 H u0 p0 c0 {3,S}
+6 H u0 p0 c0 {3,S}
+7 H u0 p0 c0 {4,S}
+8 H u0 p0 c0 {4,S}
+9 H u0 p0 c0 {4,S}
+"""
+ )
+ assert mixed.has_covalent_surface_bond()
+ n_edges_before = len(mixed.get_all_edges())
+ mixed.remove_van_der_waals_bonds()
+ assert len(mixed.get_all_edges()) == n_edges_before # nothing removed
+ assert any(bond.is_van_der_waals() for bond in mixed.get_all_edges())
+
+ # Bidentate physisorbed: both C~X bonds are vdW. All vdW bonds should be removed.
+ vdw_only = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,vdW}
+2 X u0 p0 c0 {4,vdW}
+3 C u0 p0 c0 {1,vdW} {4,S} {5,S} {6,S} {7,S}
+4 C u0 p0 c0 {2,vdW} {3,S} {8,S} {9,S} {10,S}
+5 H u0 p0 c0 {3,S}
+6 H u0 p0 c0 {3,S}
+7 H u0 p0 c0 {3,S}
+8 H u0 p0 c0 {4,S}
+9 H u0 p0 c0 {4,S}
+10 H u0 p0 c0 {4,S}
+"""
+ )
+ assert not vdw_only.has_covalent_surface_bond()
+ n_edges_before = len(vdw_only.get_all_edges())
+ vdw_only.remove_van_der_waals_bonds()
+ assert len(vdw_only.get_all_edges()) == n_edges_before - 2
+ assert not any(bond.is_van_der_waals() for bond in vdw_only.get_all_edges())
+
+ def test_has_covalent_surface_bond(self):
+ """Test Molecule.has_covalent_surface_bond() distinguishes vdW from covalent X bonds."""
+ # X present but only physisorbed via a vdW bond
+ vdw_only = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,vdW}
+2 H u0 p0 c0 {1,vdW} {3,S}
+3 H u0 p0 c0 {2,S}
+"""
+ )
+ assert not vdw_only.has_covalent_surface_bond()
+
+ # X covalently bonded (chemisorbed)
+ chemisorbed = Molecule().from_adjacency_list(
+ """
+1 H u0 p0 c0 {2,S}
+2 X u0 p0 c0 {1,S}
+"""
+ )
+ assert chemisorbed.has_covalent_surface_bond()
+
+ # Two X atoms: one vdW, one covalent
+ mixed = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,S}
+2 X u0 p0 c0 {4,vdW}
+3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S}
+4 H u0 p0 c0 {2,vdW} {3,S}
+5 H u0 p0 c0 {3,S}
+6 H u0 p0 c0 {3,S}
+"""
+ )
+ assert mixed.has_covalent_surface_bond()
+
+ # No surface sites at all
+ gas = Molecule().from_smiles("CCO")
+ assert not gas.has_covalent_surface_bond()
+
+ def test_has_vdw_surface_bond(self):
+ """Test Molecule.has_vdw_surface_bond() detects any vdW X bond."""
+ # X present but only physisorbed via a vdW bond
+ vdw_only = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {2,vdW}
+2 H u0 p0 c0 {1,vdW} {3,S}
+3 H u0 p0 c0 {2,S}
+"""
+ )
+ assert vdw_only.has_vdw_surface_bond()
+
+ # X covalently bonded (chemisorbed) — no vdW bond
+ chemisorbed = Molecule().from_adjacency_list(
+ """
+1 H u0 p0 c0 {2,S}
+2 X u0 p0 c0 {1,S}
+"""
+ )
+ assert not chemisorbed.has_vdw_surface_bond()
+
+ # Two X atoms: one vdW, one covalent
+ mixed = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0 {3,S}
+2 X u0 p0 c0 {4,vdW}
+3 C u0 p0 c0 {1,S} {4,S} {5,S} {6,S}
+4 H u0 p0 c0 {2,vdW} {3,S}
+5 H u0 p0 c0 {3,S}
+6 H u0 p0 c0 {3,S}
+"""
+ )
+ assert mixed.has_vdw_surface_bond()
+
+ # No surface sites at all
+ gas = Molecule().from_smiles("CCO")
+ assert not gas.has_vdw_surface_bond()
+
+ # An unbonded X atom counts as a vdW surface bond
+ unbonded = Molecule().from_adjacency_list(
+ """
+1 X u0 p0 c0
+2 H u0 p0 c0 {3,S}
+3 H u0 p0 c0 {2,S}
+"""
+ )
+ assert unbonded.has_vdw_surface_bond()
+
+ # vacant site alone is not a vdW surface bond
+ vacant = Molecule().from_adjacency_list("1 X u0 p0 c0")
+ assert not vacant.has_vdw_surface_bond()
+
+ def test_get_relevant_cycles(self):
+ """
+ Test the Molecule.get_relevant_cycles() raises correct error after deprecation.
+ """
+ mol = Molecule(smiles="CCCC")
+ with pytest.raises(RuntimeError):
+ mol.get_relevant_cycles()
+
+ def test_cycle_list_order_sssr(self):
+ """
+ Test that get_smallest_set_of_smallest_rings return vertices in the proper order.
+
+ There are methods such as symmetry and molecule drawing which rely
+ on the fact that subsequent list entries are connected.
+ """
+ # Create a cycle of length 5
+ mol = Molecule(smiles="C1CCCC1")
+ # Test SSSR
+ sssr = mol.get_smallest_set_of_smallest_rings()
+ assert len(sssr) == 1
+ assert len(sssr[0]) == 5
+ for i in range(5):
+ assert mol.has_bond(sssr[0][i], sssr[0][i - 1])
+
+ def test_get_max_cycle_overlap(self):
+ """
+ Test that get_max_cycle_overlap returns the correct overlap numbers
+ for different molecules.
+ """
+ # Linear molecule
+ linear = Molecule(smiles="CCC")
+ assert linear.get_max_cycle_overlap() == 0
+
+ # Monocyclic molecule
+ mono = Molecule(smiles="C1CCCC1")
+ assert mono.get_max_cycle_overlap() == 0
+
+ # Spirocyclic molecule
+ spiro = Molecule(smiles="C1CCC2(CC1)CC2")
+ assert spiro.get_max_cycle_overlap() == 1
+
+ # Fused bicyclic molecule
+ fused = Molecule(smiles="C1C2C(CCC1)CCCC2")
+ assert fused.get_max_cycle_overlap() == 2
+
+ # Bridged bicyclic molecule
+ bridged = Molecule(smiles="C1CC2CCC1C2")
+ assert bridged.get_max_cycle_overlap() == 3
+
+ # Cube-like molecule (cubane)
+ cube = Molecule(smiles="C12C3C4C1C5C2C3C45")
+ # With the current algorithm for maximum overlap determination, a cube
+ # only has an overlap of 2, because the set of relevant cycles
+ # contains the six four-membered faces. This could be changed in the
+ # future.
+ assert cube.get_max_cycle_overlap() == 2
+
+ def test_get_all_polycyclic_vertices(self):
+ """
+ Test that get_all_polycyclic_vertices returns the correct vertices.
+ """
+ # Simple linear molecule
+ mol = Molecule(smiles="CCC")
+ polycyclic_vertices = mol.get_all_polycyclic_vertices()
+ assert len(polycyclic_vertices) == 0
+
+ # Monocyclic molecule
+ mol = Molecule(smiles="C1CCCC1")
+ polycyclic_vertices = mol.get_all_polycyclic_vertices()
+ assert len(polycyclic_vertices) == 0
+
+ # Fused bicyclic molecule
+ mol = Molecule().from_adjacency_list("""
+ 1 C u0 p0 c0 {2,S} {4,S} {5,S} {11,S}
+ 2 C u0 p0 c0 {1,S} {3,S} {6,S} {12,S}
+ 3 C u0 p0 c0 {2,S} {7,S} {13,S} {14,S}
+ 4 C u0 p0 c0 {1,S} {8,S} {19,S} {20,S}
+ 5 C u0 p0 c0 {1,S} {9,S} {21,S} {22,S}
+ 6 C u0 p0 c0 {2,S} {10,S} {27,S} {28,S}
+ 7 C u0 p0 c0 {3,S} {8,S} {15,S} {16,S}
+ 8 C u0 p0 c0 {4,S} {7,S} {17,S} {18,S}
+ 9 C u0 p0 c0 {5,S} {10,S} {23,S} {24,S}
+ 10 C u0 p0 c0 {6,S} {9,S} {25,S} {26,S}
+ 11 H u0 p0 c0 {1,S}
+ 12 H u0 p0 c0 {2,S}
+ 13 H u0 p0 c0 {3,S}
+ 14 H u0 p0 c0 {3,S}
+ 15 H u0 p0 c0 {7,S}
+ 16 H u0 p0 c0 {7,S}
+ 17 H u0 p0 c0 {8,S}
+ 18 H u0 p0 c0 {8,S}
+ 19 H u0 p0 c0 {4,S}
+ 20 H u0 p0 c0 {4,S}
+ 21 H u0 p0 c0 {5,S}
+ 22 H u0 p0 c0 {5,S}
+ 23 H u0 p0 c0 {9,S}
+ 24 H u0 p0 c0 {9,S}
+ 25 H u0 p0 c0 {10,S}
+ 26 H u0 p0 c0 {10,S}
+ 27 H u0 p0 c0 {6,S}
+ 28 H u0 p0 c0 {6,S}
+ """)
+ polycyclic_vertices = mol.get_all_polycyclic_vertices()
+ assert len(polycyclic_vertices) == 2
+ assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[1]
+ assert mol.atoms[1] is mol.get_all_polycyclic_vertices()[0]
+
+ # Spirocyclic molecule
+ mol = Molecule().from_adjacency_list("""
+ 1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+ 2 C u0 p0 c0 {1,S} {6,S} {9,S} {10,S}
+ 3 C u0 p0 c0 {1,S} {8,S} {17,S} {18,S}
+ 4 C u0 p0 c0 {1,S} {5,S} {19,S} {20,S}
+ 5 C u0 p0 c0 {1,S} {4,S} {21,S} {22,S}
+ 6 C u0 p0 c0 {2,S} {7,S} {11,S} {12,S}
+ 7 C u0 p0 c0 {6,S} {8,S} {13,S} {14,S}
+ 8 C u0 p0 c0 {3,S} {7,S} {15,S} {16,S}
+ 9 H u0 p0 c0 {2,S}
+ 10 H u0 p0 c0 {2,S}
+ 11 H u0 p0 c0 {6,S}
+ 12 H u0 p0 c0 {6,S}
+ 13 H u0 p0 c0 {7,S}
+ 14 H u0 p0 c0 {7,S}
+ 15 H u0 p0 c0 {8,S}
+ 16 H u0 p0 c0 {8,S}
+ 17 H u0 p0 c0 {3,S}
+ 18 H u0 p0 c0 {3,S}
+ 19 H u0 p0 c0 {4,S}
+ 20 H u0 p0 c0 {4,S}
+ 21 H u0 p0 c0 {5,S}
+ 22 H u0 p0 c0 {5,S}
+ """)
+ polycyclic_vertices = mol.get_all_polycyclic_vertices()
+ assert len(polycyclic_vertices) == 1
+ assert mol.atoms[0] is mol.get_all_polycyclic_vertices()[0]
+
+ def test_get_largest_ring(self):
+ """
+ Test that Molecule.get_largest_ring() method returns the largest ring.
+ """
+ # Create a complex polycyclic molecule
+ mol = Molecule().from_adjacency_list("""
+ 1 C u0 p0 c0 {2,S} {11,S} {26,S} {27,S}
+ 2 C u0 p0 c0 {1,S} {3,S} {28,S} {29,S}
+ 3 C u0 p0 c0 {2,S} {4,S} {30,S} {31,S}
+ 4 C u0 p0 c0 {3,S} {5,S} {32,S} {33,S}
+ 5 C u0 p0 c0 {4,S} {6,S} {34,S} {35,S}
+ 6 C u0 p0 c0 {5,S} {7,S} {36,S} {37,S}
+ 7 C u0 p0 c0 {6,S} {8,S} {26,S} {38,S}
+ 8 C u0 p0 c0 {7,S} {9,S} {21,S} {39,S}
+ 9 C u0 p0 c0 {8,S} {10,S} {40,S} {41,S}
+ 10 C u0 p0 c0 {9,S} {11,S} {42,S} {43,S}
+ 11 C u0 p0 c0 {1,S} {10,S} {12,S} {44,S}
+ 12 C u0 p0 c0 {11,S} {13,S} {45,S} {46,S}
+ 13 C u0 p0 c0 {12,S} {14,S} {20,S} {47,S}
+ 14 C u0 p0 c0 {13,S} {15,S} {48,S} {49,S}
+ 15 C u0 p0 c0 {14,S} {16,S} {50,S} {51,S}
+ 16 C u0 p0 c0 {15,S} {17,S} {52,S} {53,S}
+ 17 C u0 p0 c0 {16,S} {18,S} {54,S} {55,S}
+ 18 C u0 p0 c0 {17,S} {19,S} {56,S} {57,S}
+ 19 C u0 p0 c0 {18,S} {20,S} {58,S} {59,S}
+ 20 C u0 p0 c0 {13,S} {19,S} {60,S} {61,S}
+ 21 C u0 p0 c0 {8,S} {22,S} {62,S} {63,S}
+ 22 C u0 p0 c0 {21,S} {23,S} {25,S} {64,S}
+ 23 C u0 p0 c0 {22,S} {24,S} {65,S} {66,S}
+ 24 C u0 p0 c0 {23,S} {25,S} {67,S} {68,S}
+ 25 C u0 p0 c0 {22,S} {24,S} {69,S} {70,S}
+ 26 C u0 p0 c0 {1,S} {7,S} {71,S} {72,S}
+ 27 H u0 p0 c0 {1,S}
+ 28 H u0 p0 c0 {2,S}
+ 29 H u0 p0 c0 {2,S}
+ 30 H u0 p0 c0 {3,S}
+ 31 H u0 p0 c0 {3,S}
+ 32 H u0 p0 c0 {4,S}
+ 33 H u0 p0 c0 {4,S}
+ 34 H u0 p0 c0 {5,S}
+ 35 H u0 p0 c0 {5,S}
+ 36 H u0 p0 c0 {6,S}
+ 37 H u0 p0 c0 {6,S}
+ 38 H u0 p0 c0 {7,S}
+ 39 H u0 p0 c0 {8,S}
+ 40 H u0 p0 c0 {9,S}
+ 41 H u0 p0 c0 {9,S}
+ 42 H u0 p0 c0 {10,S}
+ 43 H u0 p0 c0 {10,S}
+ 44 H u0 p0 c0 {11,S}
+ 45 H u0 p0 c0 {12,S}
+ 46 H u0 p0 c0 {12,S}
+ 47 H u0 p0 c0 {13,S}
+ 48 H u0 p0 c0 {14,S}
+ 49 H u0 p0 c0 {14,S}
+ 50 H u0 p0 c0 {15,S}
+ 51 H u0 p0 c0 {15,S}
+ 52 H u0 p0 c0 {16,S}
+ 53 H u0 p0 c0 {16,S}
+ 54 H u0 p0 c0 {17,S}
+ 55 H u0 p0 c0 {17,S}
+ 56 H u0 p0 c0 {18,S}
+ 57 H u0 p0 c0 {18,S}
+ 58 H u0 p0 c0 {19,S}
+ 59 H u0 p0 c0 {19,S}
+ 60 H u0 p0 c0 {20,S}
+ 61 H u0 p0 c0 {20,S}
+ 62 H u0 p0 c0 {21,S}
+ 63 H u0 p0 c0 {21,S}
+ 64 H u0 p0 c0 {22,S}
+ 65 H u0 p0 c0 {23,S}
+ 66 H u0 p0 c0 {23,S}
+ 67 H u0 p0 c0 {24,S}
+ 68 H u0 p0 c0 {24,S}
+ 69 H u0 p0 c0 {25,S}
+ 70 H u0 p0 c0 {25,S}
+ 71 H u0 p0 c0 {26,S}
+ 72 H u0 p0 c0 {26,S}
+ """)
+ # simple 8 membered ring
+ assert len(mol.get_largest_ring(mol.atoms[15])) == 8
+ # simple 4 membered ring
+ assert len(mol.get_largest_ring(mol.atoms[22])) == 4
+ # vertex in both the 8, 7, and 11 membered rings - should return 11
+ assert len(mol.get_largest_ring(mol.atoms[0])) == 11
+ # aliphatic linkage - not a member of a ring
+ assert len(mol.get_largest_ring(mol.atoms[20])) == 0
+ # bridgehead - should choose the larger of the two rings
+ assert len(mol.get_largest_ring(mol.atoms[25])) == 8
+
+ def test_get_ring_count_in_largest_fused_ring_system(self):
+ """Test that we can count the rings in the largest fused ring system."""
+ mol = Molecule(smiles="CCCC")
+ assert mol.get_ring_count_in_largest_fused_ring_system() == 0
+ mol = Molecule(smiles="c1ccccc1")
+ assert mol.get_ring_count_in_largest_fused_ring_system() == 0
+ mol = Molecule(smiles="c12ccccc1cccc2")
+ assert mol.get_ring_count_in_largest_fused_ring_system() == 2
+ mol = Molecule(smiles="C[C]1C2C(=O)C3CC4C(=O)C=C2CC143")
+ assert mol.get_ring_count_in_largest_fused_ring_system() == 4
diff --git a/test/rmgpy/reactionTest.py b/test/rmgpy/reactionTest.py
index 4e1cc0cc507..458de09f6a1 100644
--- a/test/rmgpy/reactionTest.py
+++ b/test/rmgpy/reactionTest.py
@@ -35,6 +35,7 @@
import cantera as ct
import numpy
+import numpy as np
import yaml
from copy import deepcopy
@@ -2916,7 +2917,28 @@ def test_arrhenius(self):
# Check that the reaction string is the same
assert repr(converted_obj) == repr(ct_obj)
# Check that the rate is the same. arrhenius string is not going to be identical
- assert converted_obj.rate.input_data == ct_obj.rate.input_data
+ assert np.isclose(converted_obj.rate.input_data['rate-constant']['A'], ct_obj.rate.input_data['rate-constant']['A'])
+ assert np.isclose(converted_obj.rate.input_data['rate-constant']['b'], ct_obj.rate.input_data['rate-constant']['b'])
+ assert np.isclose(converted_obj.rate.input_data['rate-constant']['Ea'], ct_obj.rate.input_data['rate-constant']['Ea'])
+
+ def test_to_cantera_with_spectator_species(self):
+ """
+ Tests that species present on both sides are not duplicated.
+ """
+ species_by_label = {species.label: species for species in self.species_list}
+ h = species_by_label["H"]
+ h2 = species_by_label["H2"]
+ ch4 = species_by_label["CH4"]
+ rxn = Reaction(
+ reactants=[h, h, ch4],
+ products=[h2, ch4],
+ kinetics=Arrhenius(A=(1e6, "cm^6/(mol^2*s)"), n=0, Ea=(0, "kcal/mol"), T0=(1, "K")),
+ )
+
+ ct_rxn = rxn.to_cantera(self.species_list, use_chemkin_identifier=True)
+
+ assert ct_rxn.input_data["equation"] == "2 H(3) + CH4(15) <=> H2(2) + CH4(15)"
+ assert ct_rxn.input_data["equation"].count("CH4(15)") == 2
def test_multi_arrhenius(self):
"""
@@ -2936,9 +2958,9 @@ def test_multi_arrhenius(self):
# Check that the reaction string is the same
assert repr(converted_rxn) == repr(ct_rxn)
# Check that the Arrhenius rates are identical
- assert round(abs(converted_rxn.rate.pre_exponential_factor - ct_rxn.rate.pre_exponential_factor), 3) == 0
- assert round(abs(converted_rxn.rate.temperature_exponent - ct_rxn.rate.temperature_exponent), 7) == 0
- assert round(abs(converted_rxn.rate.activation_energy - ct_rxn.rate.activation_energy), 7) == 0
+ assert np.isclose(converted_rxn.rate.pre_exponential_factor, ct_rxn.rate.pre_exponential_factor)
+ assert np.isclose(converted_rxn.rate.temperature_exponent, ct_rxn.rate.temperature_exponent)
+ assert np.isclose(converted_rxn.rate.activation_energy, ct_rxn.rate.activation_energy)
def test_pdep_arrhenius(self):
"""
@@ -2948,34 +2970,58 @@ def test_pdep_arrhenius(self):
ct_objects = [self.ct_pdepArrhenius]
converted_ct_objects = [obj.to_cantera(self.species_list, use_chemkin_identifier=True) for obj in rmg_objects]
+ def assert_plog_rates_equal(rates1, rates2, rtol=1e-9, atol=0.0):
+ assert len(rates1) == len(rates2)
+ # Sort by pressure to avoid ordering differences (Plog stores a multimap internally)
+ rates1 = sorted(rates1, key=lambda x: x[0])
+ rates2 = sorted(rates2, key=lambda x: x[0])
+ for (p1, r1), (p2, r2) in zip(rates1, rates2):
+ assert math.isclose(float(p1), float(p2), rel_tol=rtol, abs_tol=atol)
+ A1, b1, Ea1 = r1.pre_exponential_factor, r1.temperature_exponent, r1.activation_energy
+ A2, b2, Ea2 = r2.pre_exponential_factor, r2.temperature_exponent, r2.activation_energy
+ assert math.isclose(A1, A2, rel_tol=rtol, abs_tol=atol)
+ assert math.isclose(b1, b2, rel_tol=rtol, abs_tol=atol)
+ assert math.isclose(Ea1, Ea2, rel_tol=rtol, abs_tol=atol)
+
for converted_obj, ct_obj in zip(converted_ct_objects, ct_objects):
# Check that the reaction class is the same
assert type(converted_obj) == type(ct_obj)
# Check that the reaction string is the same
assert repr(converted_obj) == repr(ct_obj)
# Check that the Arrhenius rates are identical
- assert str(converted_obj.rates) == str(ct_obj.rates)
+ assert_plog_rates_equal(converted_obj.rate.rates, ct_obj.rate.rates)
def test_multi_pdep_arrhenius(self):
"""
Tests formation of cantera reactions with MultiPDepArrhenius kinetics.
"""
-
rmg_objects = [self.multiPdepArrhenius]
ct_objects = [self.ct_multiPdepArrhenius]
converted_ct_objects = [obj.to_cantera(self.species_list, use_chemkin_identifier=True) for obj in rmg_objects]
+ def assert_plog_rates_equal(rates1, rates2, rtol=1e-9, atol=0.0):
+ assert len(rates1) == len(rates2)
+ # Sort by pressure to avoid ordering differences (Plog stores a multimap internally)
+ rates1 = sorted(rates1, key=lambda x: x[0])
+ rates2 = sorted(rates2, key=lambda x: x[0])
+ for (p1, r1), (p2, r2) in zip(rates1, rates2):
+ assert math.isclose(float(p1), float(p2), rel_tol=rtol, abs_tol=atol)
+ A1, b1, Ea1 = r1.pre_exponential_factor, r1.temperature_exponent, r1.activation_energy
+ A2, b2, Ea2 = r2.pre_exponential_factor, r2.temperature_exponent, r2.activation_energy
+ assert math.isclose(A1, A2, rel_tol=rtol, abs_tol=atol)
+ assert math.isclose(b1, b2, rel_tol=rtol, abs_tol=atol)
+ assert math.isclose(Ea1, Ea2, rel_tol=rtol, abs_tol=atol)
+
for converted_obj, ct_obj in zip(converted_ct_objects, ct_objects):
# Check that the same number of reactions are produced
assert len(converted_obj) == len(ct_obj)
-
for converted_rxn, ct_rxn in zip(converted_obj, ct_obj):
# Check that the reaction has the same type
assert type(converted_rxn) == type(ct_rxn)
# Check that the reaction string is the same
assert repr(converted_rxn) == repr(ct_rxn)
# Check that the Arrhenius rates are identical
- assert str(converted_rxn.rates) == str(ct_rxn.rates)
+ assert_plog_rates_equal(converted_rxn.rate.rates, ct_rxn.rate.rates)
def test_chebyshev(self):
"""
@@ -2996,20 +3042,24 @@ def test_falloff(self):
assert round(abs(ct_troe.rate.low_rate.pre_exponential_factor - self.ct_troe.rate.low_rate.pre_exponential_factor), 3) == 0
assert ct_troe.rate.low_rate.temperature_exponent == self.ct_troe.rate.low_rate.temperature_exponent
assert ct_troe.rate.low_rate.activation_energy == self.ct_troe.rate.low_rate.activation_energy
- assert ct_troe.efficiencies == self.ct_troe.efficiencies
+ assert ct_troe.third_body.efficiencies == self.ct_troe.third_body.efficiencies
ct_third_body = self.thirdBody.to_cantera(self.species_list, use_chemkin_identifier=True)
assert type(ct_third_body.rate) == type(self.ct_thirdBody.rate)
assert round(abs(ct_third_body.rate.pre_exponential_factor - self.ct_thirdBody.rate.pre_exponential_factor), 3) == 0
assert ct_third_body.rate.temperature_exponent == self.ct_thirdBody.rate.temperature_exponent
assert ct_third_body.rate.activation_energy == self.ct_thirdBody.rate.activation_energy
- assert ct_third_body.efficiencies == self.ct_thirdBody.efficiencies
+ assert ct_third_body.third_body.efficiencies == self.ct_thirdBody.third_body.efficiencies
ct_lindemann = self.lindemann.to_cantera(self.species_list, use_chemkin_identifier=True)
assert type(ct_lindemann.rate) == type(self.ct_lindemann.rate)
- assert ct_lindemann.efficiencies == self.ct_lindemann.efficiencies
- assert str(ct_lindemann.rate.low_rate) == str(self.ct_lindemann.rate.low_rate)
- assert str(ct_lindemann.rate.high_rate) == str(self.ct_lindemann.rate.high_rate)
+ assert ct_lindemann.third_body.efficiencies == self.ct_lindemann.third_body.efficiencies
+ assert round(abs(ct_lindemann.rate.low_rate.activation_energy - self.ct_lindemann.rate.low_rate.activation_energy), 3) == 0
+ assert round(abs(ct_lindemann.rate.low_rate.pre_exponential_factor - self.ct_lindemann.rate.low_rate.pre_exponential_factor), 3) == 0
+ assert round(abs(ct_lindemann.rate.low_rate.temperature_exponent - self.ct_lindemann.rate.low_rate.temperature_exponent), 3) == 0
+ assert round(abs(ct_lindemann.rate.high_rate.activation_energy - self.ct_lindemann.rate.high_rate.activation_energy), 3) == 0
+ assert round(abs(ct_lindemann.rate.high_rate.pre_exponential_factor - self.ct_lindemann.rate.high_rate.pre_exponential_factor), 3) == 0
+ assert round(abs(ct_lindemann.rate.high_rate.temperature_exponent - self.ct_lindemann.rate.high_rate.temperature_exponent), 3) == 0
class TestChargeTransferReaction:
@@ -3140,18 +3190,17 @@ def test_get_reversible_potential(self):
def test_get_rate_coeff(self):
"""Test get_rate_coefficient() method"""
-
# these should be the same
kf_1 = self.rxn_reduction.get_rate_coefficient(298,potential=0)
kf_2 = self.rxn_reduction.kinetics.get_rate_coefficient(298,0)
- assert abs(kf_1 - 43870506959779.0) < 0.000001
- assert abs(kf_1 - kf_2) < 0.000001
+ assert np.isclose(kf_1, 43870506959779.0)
+ assert np.isclose(kf_1, kf_2)
- #kf_2 should be greater than kf_1
+ # kf_2 should be greater than kf_1
kf_1 = self.rxn_oxidation.get_rate_coefficient(298,potential=0)
kf_2 = self.rxn_oxidation.get_rate_coefficient(298,potential=0.1)
- assert kf_2>kf_1
+ assert kf_2 > kf_1
def test_equilibrium_constant_surface_charge_transfer_kc(self):
"""
diff --git a/test/rmgpy/rmg/inputTest.py b/test/rmgpy/rmg/inputTest.py
index 01a5fa21b11..1daf399cb23 100644
--- a/test/rmgpy/rmg/inputTest.py
+++ b/test/rmgpy/rmg/inputTest.py
@@ -30,7 +30,11 @@
from unittest.mock import patch
import rmgpy.rmg.input as inp
+from rmgpy.exceptions import InputError
+from rmgpy.rmg.input import _parse_writer_config, _writer_config_to_input
from rmgpy.rmg.main import RMG
+from rmgpy.rmg.model import CoreEdgeReactionModel
+from rmgpy.rmg.settings import WriterConfig
from rmgpy.ml.estimator import ADMONITION
import pytest
@@ -65,33 +69,123 @@ def teardown_class(self):
def test_importing_database_reaction_libraries_from_string(self):
"""
- Test that we can import Reaction Libraries using the non-tuple form.
+ Test that reaction libraries given as plain strings are stored as strings.
"""
global rmg
- # add database properties to RMG
inp.database(reactionLibraries=["test"])
- assert isinstance(rmg.reaction_libraries[0], tuple)
- assert not rmg.reaction_libraries[0][1]
+ assert rmg.reaction_libraries == ["test"]
+ assert "test" not in rmg.reaction_libraries_output_edge
def test_importing_database_reaction_libraries_from_false_tuple(self):
"""
- Test that we can import Reaction Libraries using the Tuple False form.
+ Test that (name, False) tuples are stored as plain strings without output_edge.
"""
global rmg
- # add database properties to RMG
inp.database(reactionLibraries=[("test", False)])
- assert isinstance(rmg.reaction_libraries[0], tuple)
- assert not rmg.reaction_libraries[0][1]
+ assert rmg.reaction_libraries == ["test"]
+ assert "test" not in rmg.reaction_libraries_output_edge
def test_importing_database_reaction_libraries_from_true_tuple(self):
"""
- Test that we can import Reaction Libraries using the Tuple True form.
+ Test that (name, True) tuples are stored as plain strings with the name in output_edge.
"""
global rmg
- # add database properties to RMG
inp.database(reactionLibraries=[("test", True)])
- assert isinstance(rmg.reaction_libraries[0], tuple)
- assert rmg.reaction_libraries[0][1]
+ assert rmg.reaction_libraries == ["test"]
+ assert "test" in rmg.reaction_libraries_output_edge
+
+class TestInputDatabaseAutoSelection:
+ """Tests for 'auto' and '' token handling in database()."""
+
+ def test_thermo_auto_string(self):
+ global rmg
+ inp.database(thermoLibraries='auto')
+ assert rmg.thermo_libraries == 'auto'
+
+ def test_thermo_auto_in_list(self):
+ global rmg
+ inp.database(thermoLibraries=['myLib', 'auto'])
+ assert rmg.thermo_libraries == ['myLib', 'auto']
+
+ def test_thermo_pah_libs_in_list(self):
+ global rmg
+ inp.database(thermoLibraries=['auto', ''])
+ assert rmg.thermo_libraries == ['auto', '']
+
+ def test_transport_auto_string(self):
+ global rmg
+ inp.database(transportLibraries='auto')
+ assert rmg.transport_libraries == 'auto'
+
+ def test_reaction_libraries_auto_string(self):
+ global rmg
+ inp.database(reactionLibraries='auto')
+ assert rmg.reaction_libraries == 'auto'
+
+ def test_reaction_libraries_auto_in_list(self):
+ global rmg
+ inp.database(reactionLibraries=['auto', ''])
+ assert 'auto' in rmg.reaction_libraries
+ assert '' in rmg.reaction_libraries
+
+ def test_reaction_libraries_mixed_auto_and_tuple(self):
+ global rmg
+ inp.database(reactionLibraries=[('myLib', True), 'auto'])
+ assert rmg.reaction_libraries == ['myLib', 'auto']
+ assert 'myLib' in rmg.reaction_libraries_output_edge
+
+ def test_seed_mechanisms_auto(self):
+ global rmg
+ inp.database(seedMechanisms='auto')
+ assert rmg.seed_mechanisms == 'auto'
+
+ def test_kinetics_families_auto(self):
+ global rmg
+ inp.database(kineticsFamilies='auto')
+ assert rmg.kinetics_families == 'auto'
+
+ def test_kinetics_families_auto_with_exclusion(self):
+ global rmg
+ inp.database(kineticsFamilies=['!H_Abstraction', 'auto'])
+ assert rmg.kinetics_families == ['!H_Abstraction', 'auto']
+
+ def test_default_no_auto(self):
+ """Without 'auto', fields should behave as before."""
+ global rmg
+ inp.database(
+ thermoLibraries=['primaryThermoLibrary'],
+ reactionLibraries=[('lib1', False)],
+ seedMechanisms=[],
+ transportLibraries=None,
+ kineticsFamilies='default',
+ )
+ assert rmg.thermo_libraries == ['primaryThermoLibrary']
+ assert rmg.reaction_libraries == ['lib1']
+ assert 'lib1' not in rmg.reaction_libraries_output_edge
+ assert rmg.seed_mechanisms == []
+ assert rmg.transport_libraries is None
+ assert rmg.kinetics_families == 'default'
+
+ def test_pah_libs_standalone_thermo_raises(self):
+ with pytest.raises(InputError):
+ inp.database(thermoLibraries='')
+
+ def test_pah_libs_standalone_reaction_raises(self):
+ with pytest.raises(InputError):
+ inp.database(reactionLibraries='')
+
+ def test_pah_libs_standalone_transport_raises(self):
+ with pytest.raises(InputError):
+ inp.database(transportLibraries='')
+
+ def test_pah_libs_standalone_seeds_raises(self):
+ with pytest.raises(InputError):
+ inp.database(seedMechanisms='')
+
+ def test_pah_libs_tuple_in_reaction_libs_raises(self):
+ with pytest.raises(InputError):
+ inp.database(reactionLibraries=[('', True)])
+
@pytest.mark.skip(reason=ADMONITION)
class TestInputMLEstimator:
@@ -373,3 +467,164 @@ def test_mb_sampled_reactor_mole_fractions_normalize_1(self, mock_logging):
assert reactor.initial_mole_fractions["C"] == 0.2
mock_logging.warning.assert_called_with("Initial mole fractions do not sum to one; normalizing.")
+
+
+class TestInputPressureDependence:
+ """
+ Contains unit tests for pressure dependence input, including completedNetworks
+ """
+
+ def setup_method(self):
+ """This method is run before every test in this class"""
+ global rmg
+ # Reset the completed networks set before each test
+ rmg.reaction_model = CoreEdgeReactionModel()
+ rmg.reaction_model.completed_pdep_networks = set()
+
+ def test_completed_networks_single(self):
+ """Test that a single completedNetwork can be added via pressure_dependence"""
+ global rmg
+
+ inp.pressure_dependence(
+ method='modified strong collision',
+ temperatures=(300, 2000, 'K', 8),
+ pressures=(0.01, 100, 'bar', 5),
+ maximumGrainSize=(0.5, 'kcal/mol'),
+ minimumNumberOfGrains=250,
+ interpolation=('Chebyshev', 6, 4),
+ maximumAtoms=16,
+ completedNetworks=['CH2O2'],
+ )
+
+ # Check that the network was added
+ assert len(rmg.reaction_model.completed_pdep_networks) == 1
+ # The formula CH2O2 should be converted to a sorted tuple of elements
+ expected_key = (('C', 1), ('H', 2), ('O', 2))
+ assert expected_key in rmg.reaction_model.completed_pdep_networks
+
+ def test_completed_networks_multiple(self):
+ """Test that multiple completedNetworks can be added via pressure_dependence"""
+ global rmg
+
+ inp.pressure_dependence(
+ method='modified strong collision',
+ temperatures=(300, 2000, 'K', 8),
+ pressures=(0.01, 100, 'bar', 5),
+ maximumGrainSize=(0.5, 'kcal/mol'),
+ minimumNumberOfGrains=250,
+ interpolation=('Chebyshev', 6, 4),
+ maximumAtoms=16,
+ completedNetworks=['CH2O2', 'C2H6'],
+ )
+
+ # Check that both networks were added
+ assert len(rmg.reaction_model.completed_pdep_networks) == 2
+ expected_key1 = (('C', 1), ('H', 2), ('O', 2))
+ expected_key2 = (('C', 2), ('H', 6))
+ assert expected_key1 in rmg.reaction_model.completed_pdep_networks
+ assert expected_key2 in rmg.reaction_model.completed_pdep_networks
+
+ def test_completed_networks_none(self):
+ """Test that pressure_dependence works without completedNetworks"""
+ global rmg
+
+ inp.pressure_dependence(
+ method='modified strong collision',
+ temperatures=(300, 2000, 'K', 8),
+ pressures=(0.01, 100, 'bar', 5),
+ maximumGrainSize=(0.5, 'kcal/mol'),
+ minimumNumberOfGrains=250,
+ interpolation=('Chebyshev', 6, 4),
+ maximumAtoms=16,
+ )
+
+ # Check that no networks were added
+ assert len(rmg.reaction_model.completed_pdep_networks) == 0
+
+
+class TestWriterConfig:
+ """Unit tests for WriterConfig and the _parse_writer_config / _writer_config_to_input helpers."""
+
+ def test_parse_false_disables(self):
+ cfg = _parse_writer_config(False)
+ assert not cfg.enabled
+ assert cfg.save_interval == 0
+
+ def test_parse_true_enables_default_interval(self):
+ cfg = _parse_writer_config(True)
+ assert cfg.enabled
+ assert cfg.save_interval == 1
+ assert cfg.save_edge is None
+
+ def test_parse_true_custom_default_interval(self):
+ cfg = _parse_writer_config(True, default_save_interval=5)
+ assert cfg.save_interval == 5
+
+ def test_parse_dict_full(self):
+ cfg = _parse_writer_config({'saveInterval': -1, 'saveEdge': False})
+ assert cfg.enabled
+ assert cfg.save_interval == -1
+ assert cfg.save_edge is False
+
+ def test_parse_dict_partial(self):
+ cfg = _parse_writer_config({'saveInterval': 3})
+ assert cfg.save_interval == 3
+ assert cfg.save_edge is None
+
+ def test_parse_invalid_raises(self):
+ with pytest.raises(InputError):
+ _parse_writer_config(42)
+
+ def test_should_write_every_iteration(self):
+ cfg = WriterConfig(save_interval=1)
+ assert cfg.should_write(0, False)
+ assert cfg.should_write(1, False)
+ assert cfg.should_write(5, False)
+
+ def test_should_write_every_n_iterations(self):
+ cfg = WriterConfig(save_interval=3)
+ assert cfg.should_write(0, False)
+ assert not cfg.should_write(1, False)
+ assert not cfg.should_write(2, False)
+ assert cfg.should_write(3, False)
+ assert cfg.should_write(6, False)
+
+ def test_should_write_end_only(self):
+ cfg = WriterConfig(save_interval=-1)
+ assert not cfg.should_write(0, False)
+ assert not cfg.should_write(5, False)
+ assert cfg.should_write(5, True)
+
+ def test_should_write_disabled(self):
+ cfg = WriterConfig(save_interval=0)
+ assert not cfg.should_write(0, False)
+ assert not cfg.should_write(0, True)
+
+ def test_should_write_final_always_writes(self):
+ cfg = WriterConfig(save_interval=5)
+ # Iteration 7 was not written (not multiple of 5)
+ assert cfg.should_write(7, True)
+
+ def test_should_write_final_no_double_write(self):
+ cfg = WriterConfig(save_interval=5)
+ # Iteration 5 is a multiple of 5 — written during loop
+ cfg.should_write(5, False)
+ # Final call at same iteration should be skipped
+ assert not cfg.should_write(5, True)
+
+ def test_writer_config_to_input_false(self):
+ cfg = WriterConfig(save_interval=0)
+ assert _writer_config_to_input(cfg) is False
+
+ def test_writer_config_to_input_true(self):
+ cfg = WriterConfig(save_interval=1)
+ assert _writer_config_to_input(cfg) is True
+
+ def test_writer_config_to_input_dict(self):
+ cfg = WriterConfig(save_interval=-1, save_edge=False)
+ result = _writer_config_to_input(cfg)
+ assert "'saveInterval': -1" in result
+ assert "'saveEdge': False" in result
+
+ def test_writer_config_to_input_none(self):
+ assert _writer_config_to_input(None) is False
diff --git a/test/rmgpy/rmg/mainTest.py b/test/rmgpy/rmg/mainTest.py
index 2a68efc73d7..00aa547e9f8 100644
--- a/test/rmgpy/rmg/mainTest.py
+++ b/test/rmgpy/rmg/mainTest.py
@@ -55,7 +55,10 @@ def setup_class(cls):
cls.seedKinetics = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed")
cls.seedKineticsEdge = os.path.join(cls.databaseDirectory, "kinetics", "libraries", "testSeed_edge")
- os.mkdir(os.path.join(cls.testDir, cls.outputDir))
+ output_path = os.path.join(cls.testDir, cls.outputDir)
+ if os.path.exists(output_path):
+ shutil.rmtree(output_path)
+ os.mkdir(output_path)
cls.rmg = RMG(
input_file=os.path.join(cls.testDir, "input.py"),
@@ -119,6 +122,11 @@ def test_rmg_seed_edge_library_creation(self):
"""Test that edge seed mechanisms are created in the correct database locations."""
assert os.path.exists(self.seedKinetics)
+ def test_rmg_rms_mechanism_files_creation(self):
+ """Test that rms mechanisms are created in the correct location."""
+ assert os.path.exists(os.path.join(self.rmg.output_directory,"rms"))
+ assert len(os.listdir(os.path.join(self.rmg.output_directory,"rms"))) != 0
+
def test_rmg_seed_works(self):
"""Test that the created seed libraries work.
@@ -167,20 +175,81 @@ def test_rmg_memory(self):
Rmem.generate_cond()
Rmem.get_cond()
- def test_make_cantera_input_file(self):
+ def test_make_cantera_input_file_from_ck(self):
"""
- This tests to ensure that a usable Cantera input file is created.
+ This test ensures that a usable Cantera input file is created via the Chemkin to Cantera conversion.
"""
import cantera as ct
- outName = os.path.join(self.rmg.output_directory, "cantera")
- files = os.listdir(outName)
+ cantera_files = os.path.join(self.rmg.output_directory, "cantera_from_ck")
+ files = os.listdir(cantera_files)
for f in files:
if ".yaml" in f:
try:
- ct.Solution(os.path.join(outName, f))
+ ct.Solution(os.path.join(cantera_files, f))
except:
assert False, "The output Cantera file is not loadable in Cantera."
+
+ def test_make_cantera_input_file_directly_1(self):
+ """
+ This tests to ensure that a usable Cantera input file is created via direct yaml writer 1.
+ """
+ import cantera as ct
+
+ cantera_files = os.path.join(self.rmg.output_directory, "cantera1")
+ files = os.listdir(cantera_files)
+ for f in files:
+ if ".yaml" in f:
+ try:
+ ct.Solution(os.path.join(cantera_files, f))
+ except:
+ assert False, "The output Cantera file is not loadable in Cantera."
+
+ def test_make_cantera_input_file_directly_2(self):
+ """
+ This tests to ensure that a usable Cantera input file is created via direct yaml writer 2.
+ """
+ import cantera as ct
+
+ cantera_files = os.path.join(self.rmg.output_directory, "cantera2")
+ files = os.listdir(cantera_files)
+ for f in files:
+ if ".yaml" in f:
+ try:
+ ct.Solution(os.path.join(cantera_files, f))
+ except:
+ assert False, "The output Cantera file is not loadable in Cantera."
+
+ def test_cantera_input_files_match_chemkin_later(self):
+ """
+ Copy the Cantera YAML files (generated directly by RMG and converted from Chemkin)
+ to the test data directory so that yaml_cantera1Test can compare them.
+ """
+ # Copy RMG-generated YAML 1 to test data directory
+ cantera_dir = os.path.join(self.rmg.output_directory, "cantera1")
+ rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml')
+ assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found"
+ test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera1', 'from_main_test.yaml')
+ os.makedirs(os.path.dirname(test_data_cantera_target), exist_ok=True)
+ shutil.copy(rmg_yaml_path, test_data_cantera_target)
+
+ # Copy RMG-generated YAML 2 to test data directory
+ cantera_dir = os.path.join(self.rmg.output_directory, "cantera2")
+ rmg_yaml_path = os.path.join(cantera_dir, 'chem_annotated.yaml')
+ assert os.path.exists(rmg_yaml_path), f"RMG-generated Cantera YAML file {rmg_yaml_path} not found"
+ test_data_cantera_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'cantera2', 'from_main_test.yaml')
+ os.makedirs(os.path.dirname(test_data_cantera_target), exist_ok=True)
+ shutil.copy(rmg_yaml_path, test_data_cantera_target)
+
+ # Copy chemkin-converted YAML to test data directory
+ cantera_from_ck_dir = os.path.join(
+ self.rmg.output_directory, "cantera_from_ck"
+ )
+ ck_yaml_path = os.path.join(cantera_from_ck_dir, "chem_annotated.yaml")
+ assert os.path.exists(ck_yaml_path), f"Chemkin-converted YAML file {ck_yaml_path} not found"
+ test_data_chemkin_target = os.path.join(self.testDir, '..', 'yaml_writer_data', 'ck2yaml', 'from_main_test.yaml')
+ os.makedirs(os.path.dirname(test_data_chemkin_target), exist_ok=True)
+ shutil.copy(ck_yaml_path, test_data_chemkin_target)
@pytest.mark.functional
@@ -269,7 +338,7 @@ def setup_class(cls):
cls.outputDir = os.path.join(cls.testDir, "output")
cls.databaseDirectory = settings["database.directory"]
- os.mkdir(os.path.join(cls.testDir, cls.outputDir))
+ os.makedirs(os.path.join(cls.testDir, cls.outputDir), exist_ok=True)
cls.max_iter = 10
@@ -297,7 +366,7 @@ def test_max_iter(self):
num_rows = df.shape[0]
num_iter_actual = num_rows
- num_iter_expected = self.max_iter + 1 # +1 is for saving iteration 0
+ num_iter_expected = self.max_iter + 2 # +2 is for saving iteration 0, and the final after the loop ends.
assert num_iter_actual == num_iter_expected
@classmethod
@@ -356,7 +425,11 @@ def teardown_class(cls):
os.remove(os.path.join(cls.test_dir, "RMG.profile.dot.ps2"))
-class TestCanteraOutput:
+class TestCanteraOutputConversion:
+ """
+ Tests if we can convert Chemkin files to Cantera files without crashing.
+ (Or raising an exception for bad files.)
+ """
def setup_class(self):
self.chemkin_files = {
"""ELEMENTS
@@ -377,7 +450,7 @@ def setup_class(self):
END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) H 6 C 2 G100.000 5000.000 954.52 1
4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2
@@ -413,7 +486,7 @@ def setup_class(self):
END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) H 6 C 2 G100.000 5000.000 954.52 1
4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2
@@ -453,7 +526,7 @@ def setup_class(self):
END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
ethane(1) H 6 C 2 G100.000 5000.000 954.52 1
4.58987205E+00 1.41507042E-02-4.75958084E-06 8.60284590E-10-6.21708569E-14 2
@@ -512,10 +585,10 @@ def test_chemkin_to_cantera_conversion(self):
f.close()
if works:
- self.rmg.generate_cantera_files(os.path.join(os.getcwd(), "chem001.inp"))
+ self.rmg.generate_cantera_files_from_chemkin(os.path.join(os.getcwd(), "chem001.inp"))
else:
with pytest.raises(InputError):
- self.rmg.generate_cantera_files(os.path.join(os.getcwd(), "chem001.inp"))
+ self.rmg.generate_cantera_files_from_chemkin(os.path.join(os.getcwd(), "chem001.inp"))
# clean up
os.chdir(originalPath)
diff --git a/test/rmgpy/rmg/modelTest.py b/test/rmgpy/rmg/modelTest.py
index 8c460f5df48..3eaf1d1b53e 100644
--- a/test/rmgpy/rmg/modelTest.py
+++ b/test/rmgpy/rmg/modelTest.py
@@ -296,7 +296,7 @@ def setup_class(cls):
"""
A method that is run before each unit test in this class.
"""
- test_family = "H_Abstraction"
+ test_families = ["H_Abstraction", "intra_H_migration"]
# set-up RMG object
rmg = RMG()
@@ -308,7 +308,7 @@ def setup_class(cls):
# kinetics family loading
rmg.database.load_kinetics(
os.path.join(path, "kinetics"),
- kinetics_families=[test_family],
+ kinetics_families=test_families,
reaction_libraries=[],
)
# load empty forbidden structures to avoid any dependence on forbidden structures
@@ -822,6 +822,87 @@ def test_check_for_existing_reaction_removes_duplicates_in_opposite_directions(
assert found, "check_for_existing_reaction failed to identify existing reaction in the reverse direction"
assert rxn == rxn_f
+ def test_check_for_existing_reaction_eliminates_same_reaction_from_reverse_multiple_templates(
+ self,
+ ):
+ """
+ Test that check_for_existing_reaction catches duplicate reactions
+ when there are multiple reaction sites (the model should have duplicates)
+ and the "new" reaction is equivalent to an existing one but proposed in the reverse.
+
+ Specifically, the model already contains two forward intra_H_migration reactions
+ (different templates, both marked duplicate=True). When the same reactions are
+ subsequently generated in the reverse direction they must be recognised as already
+ present and not added a second time.
+
+ Note that the templates used here are marked as fictitious because the test database
+ is not necessarily large enough to distinguish these two cases. In any case, the
+ templates are not actually used for this test, but point to an example that can be
+ recreated with the full database.
+ """
+ cerm = CoreEdgeReactionModel()
+
+ spcA = Species().from_smiles("CC(O[O])C(C)OO")
+ spcB = Species().from_smiles("[CH2]C(OO)C(C)OO")
+ spcA.label = "CC(O[O])C(C)OO"
+ spcB.label = "[CH2]C(OO)C(C)OO"
+ # Thermo values are not used by check_for_existing_reaction; use a placeholder.
+ spcA.thermo = THERMO_DICT["O"]
+ spcB.thermo = THERMO_DICT["O"]
+
+ cerm.add_species_to_core(spcA)
+ cerm.add_species_to_core(spcB)
+
+ # Two distinct forward reactions already in the model (different templates).
+ reaction_in_model1 = TemplateReaction(
+ reactants=[spcA],
+ products=[spcB],
+ family="intra_H_migration",
+ template=["fictitious", "R4H_SSS_O(Cs)Cs", "O_rad_out", "Cs_H_out_2H"],
+ duplicate=True,
+ )
+ reaction_in_model2 = TemplateReaction(
+ reactants=[spcA],
+ products=[spcB],
+ family="intra_H_migration",
+ template=["fictitious", "R5H_SSSS_OCC_C", "O_rad_out", "Cs_H_out_2H"],
+ duplicate=True,
+ )
+
+ # The same reactions proposed in the reverse direction (different template labels,
+ # same physical transformation).
+ reaction_to_add1 = TemplateReaction(
+ reactants=[spcB],
+ products=[spcA],
+ family="intra_H_migration",
+ template=["fictitious", "R4H_SSS", "C_rad_out_2H", "O_H_out"],
+ duplicate=True,
+ )
+ reaction_to_add2 = TemplateReaction(
+ reactants=[spcB],
+ products=[spcA],
+ family="intra_H_migration",
+ template=["fictitious", "R5H_SSSS", "C_rad_out_2H", "O_H_out"],
+ duplicate=True,
+ )
+
+ cerm.add_reaction_to_core(reaction_in_model1)
+ cerm.register_reaction(reaction_in_model1)
+ cerm.add_reaction_to_core(reaction_in_model2)
+ cerm.register_reaction(reaction_in_model2)
+
+ found1, _ = cerm.check_for_existing_reaction(reaction_to_add1)
+ assert found1, (
+ "check_for_existing_reaction failed to find existing duplicate (multiple sites) "
+ "when proposed from reverse (R4H template)"
+ )
+
+ found2, _ = cerm.check_for_existing_reaction(reaction_to_add2)
+ assert found2, (
+ "check_for_existing_reaction failed to find existing duplicate (multiple sites) "
+ "when proposed from reverse (R5H template)"
+ )
+
@classmethod
def teardown_class(cls):
"""
diff --git a/test/rmgpy/rmg/pdepTest.py b/test/rmgpy/rmg/pdepTest.py
index fc7d4080045..ce35ce260e2 100644
--- a/test/rmgpy/rmg/pdepTest.py
+++ b/test/rmgpy/rmg/pdepTest.py
@@ -31,12 +31,12 @@
from copy import deepcopy
-from rmgpy.kinetics.arrhenius import Arrhenius
+from rmgpy.kinetics import Arrhenius, Chebyshev
from rmgpy.pdep.collision import SingleExponentialDown
from rmgpy.pdep.configuration import Configuration
from rmgpy.pdep.network import Network
from rmgpy.reaction import Reaction
-from rmgpy.rmg.pdep import PDepNetwork
+from rmgpy.rmg.pdep import PDepNetwork, PDepReaction
from rmgpy.species import Species, TransitionState
from rmgpy.statmech.conformer import Conformer
from rmgpy.statmech.rotation import NonlinearRotor
@@ -357,6 +357,19 @@ def setup_class(self):
self.pdepnetwork.index = 1
self.pdepnetwork.explored = []
+
+ self.pdep_reaction = PDepReaction()
+
+ self.pdep_reaction.reactants = [Species(smiles='[CH3]'), Species(smiles='[CH2]CC')]
+ self.pdep_reaction.products = [Species(smiles='CCCC')]
+ self.pdep_reaction.label = 'my reaction'
+ self.pdep_reaction.kinetics = Chebyshev(coeffs=[[13.07,0.1724,-0.0396,0.001702],[-0.7274,0.321,-0.07073,0.001855],
+ [-0.3293,0.2585,-0.04933,-0.001644],[-0.1983,0.1786,-0.02421,-0.00471],
+ [-0.1194,0.104,-0.004073,-0.005676],[-0.06581,0.04897,0.00688,-0.004585]],
+ kunits='cm^3/(mol*s)', Tmin=(300,'K'), Tmax=(2000,'K'), Pmin=(0.01,'atm'), Pmax=(98.692,'atm'))
+ self.pdep_reaction.reversible
+
+
def test_energy_filter(self):
rxns = self.pdepnetwork.get_energy_filtered_reactions(1000.0, 0.0)
assert len(rxns) == 1
@@ -365,3 +378,14 @@ def test_energy_filter(self):
def test_flux_filter(self):
prods = self.pdepnetwork.get_rate_filtered_products(1000.0, 100000.0, 1.0)
assert len(prods) == 0
+
+ def test_copy(self):
+ copy_pdep_reaction = deepcopy(self.pdep_reaction)
+
+ assert copy_pdep_reaction.is_isomorphic(self.pdep_reaction)
+ assert copy_pdep_reaction.reactants[0].is_isomorphic(self.pdep_reaction.reactants[0])
+ assert copy_pdep_reaction.reactants[1].is_isomorphic(self.pdep_reaction.reactants[1])
+ assert copy_pdep_reaction.products[0].is_isomorphic(self.pdep_reaction.products[0])
+ assert copy_pdep_reaction.label == self.pdep_reaction.label
+ assert copy_pdep_reaction.kinetics.is_identical_to(self.pdep_reaction.kinetics)
+ assert copy_pdep_reaction.reversible == self.pdep_reaction.reversible
diff --git a/test/rmgpy/rmg/rmgTest.py b/test/rmgpy/rmg/rmgTest.py
index 26686ae2c18..1fab407c8ee 100644
--- a/test/rmgpy/rmg/rmgTest.py
+++ b/test/rmgpy/rmg/rmgTest.py
@@ -206,7 +206,7 @@ def test_parse_command_line_arguments_defaults(self):
args = parse_command_line_arguments(["input.py"])
# Test default values
- assert args.walltime == "00:00:00:00"
+ assert args.walltime is None
assert args.output_directory == os.path.abspath(os.path.dirname("./"))
assert args.debug == False
assert args.file == "input.py"
diff --git a/test/rmgpy/rmgUtilTest.py b/test/rmgpy/rmgUtilTest.py
new file mode 100644
index 00000000000..6b9df579a10
--- /dev/null
+++ b/test/rmgpy/rmgUtilTest.py
@@ -0,0 +1,137 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+import yaml
+
+from rmgpy.util import strip_yaml_notes
+
+
+class UtilTest:
+ def run_strip(self, tmp_path, source_text):
+ source_path = tmp_path / "chem_annotated.yaml"
+ destination_path = tmp_path / "chem.yaml"
+ yaml.safe_load(source_text) # just to check it's valid YAML
+ source_path.write_text(source_text)
+ yaml.safe_load(source_path.read_text())
+ strip_yaml_notes(source_path, destination_path)
+
+ result = destination_path.read_text()
+ yaml.safe_load(result) # just to check it's valid YAML
+ return result
+
+ def test_strip_yaml_notes_removes_block_style_note(self, tmp_path):
+ source = """species:
+- name: CH4
+ composition: {C: 1, H: 4}
+ note: RMG-generated species note
+- name: O2
+ composition: {O: 2}
+"""
+ expected = """species:
+- name: CH4
+ composition: {C: 1, H: 4}
+- name: O2
+ composition: {O: 2}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
+
+ def test_strip_yaml_notes_removes_block_style_multiline_note(self, tmp_path):
+ source = """reactions:
+- equation: CH4 + O2 <=> CH3 + HO2
+ rate-constant: {A: 1.0e+06, b: 0.0, Ea: 10000.0}
+ note: |
+ Estimated by RMG.
+ Includes database comments.
+- equation: H + O2 <=> O + OH
+ rate-constant: {A: 1.0e+14, b: 0.0, Ea: 15000.0}
+"""
+ expected = """reactions:
+- equation: CH4 + O2 <=> CH3 + HO2
+ rate-constant: {A: 1.0e+06, b: 0.0, Ea: 10000.0}
+- equation: H + O2 <=> O + OH
+ rate-constant: {A: 1.0e+14, b: 0.0, Ea: 15000.0}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
+
+ def test_strip_yaml_notes_removes_single_line_flow_note(self, tmp_path):
+ source = """species:
+- name: Ar
+ transport: {model: gas, note: RMG transport, geometry: atom, diameter: 3.33, well-depth: 136.5}
+"""
+ expected = """species:
+- name: Ar
+ transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
+
+ def test_strip_yaml_notes_removes_single_line_flow_note_with_quoted_comma(self, tmp_path):
+ source = """species:
+- name: Ar
+ transport: {model: gas, note: 'comma here, danger!', geometry: atom, diameter: 3.33, well-depth: 136.5}
+"""
+ expected = """species:
+- name: Ar
+ transport: {model: gas, geometry: atom, diameter: 3.33, well-depth: 136.5}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
+
+ def test_strip_yaml_notes_removes_wrapped_flow_note(self, tmp_path):
+ source = """species:
+- name: CH4
+ transport: {model: gas, geometry: nonlinear, diameter: 3.746,
+ note: RMG transport note,
+ well-depth: 141.4}
+"""
+ expected = """species:
+- name: CH4
+ transport: {model: gas, geometry: nonlinear, diameter: 3.746,
+ well-depth: 141.4}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
+
+ def test_strip_yaml_notes_removes_wrapped_flow_multiline_note(self, tmp_path):
+ source = """species:
+- name: CH4
+ transport: {model: gas, geometry: nonlinear, diameter: 3.746,
+ note: RMG transport note
+ with wrapped detail,
+ well-depth: 141.4}
+"""
+ expected = """species:
+- name: CH4
+ transport: {model: gas, geometry: nonlinear, diameter: 3.746,
+ well-depth: 141.4}
+"""
+
+ assert self.run_strip(tmp_path, source) == expected
diff --git a/test/rmgpy/solver/liquidTest.py b/test/rmgpy/solver/liquidTest.py
index 1dc2c5eb2af..54504d687af 100644
--- a/test/rmgpy/solver/liquidTest.py
+++ b/test/rmgpy/solver/liquidTest.py
@@ -633,6 +633,8 @@ def teardown_class(cls):
import rmgpy.data.rmg
+ rmgpy.rmg.main.solvent = None
+
rmgpy.data.rmg.database = None
try:
os.remove(os.path.join(cls.file_dir, "restart_from_seed.py"))
diff --git a/test/rmgpy/solver/simpleTest.py b/test/rmgpy/solver/simpleTest.py
index 1534f79dfbe..a6646402016 100644
--- a/test/rmgpy/solver/simpleTest.py
+++ b/test/rmgpy/solver/simpleTest.py
@@ -759,3 +759,29 @@ def test_specific_collider_model(self):
# order: Ar, N2, O2, H, CH3, CH4
for i in range(len(simulated_mole_fracs)):
assert round(abs(simulated_mole_fracs[i] - expected_mole_fracs[i]), 6) == 0
+
+ def test_get_const_spc_indices(self):
+ """
+ Test that const_spc_names are correctly mapped to core species indices.
+ """
+ # Dummy species with labels that should match const_spc_names
+ a = Species(smiles='C', label="CH4")
+ b = Species(smiles='[OH]', label="OH")
+ core_species = [a, b]
+
+ T = 1000.0 # K
+ P = 1.0e5 # Pa
+
+ rxn_system = SimpleReactor(
+ T,
+ P,
+ initial_mole_fractions={a: 0.5, b: 0.5},
+ n_sims=1,
+ termination=[],
+ const_spc_names=["CH4"])
+
+ # Populate const_spc_indices from labels
+ rxn_system.get_const_spc_indices(core_species)
+
+ # Only "CH4" should be marked constant
+ assert rxn_system.const_spc_indices == [core_species.index(a)]
diff --git a/test/rmgpy/solver/solverSurfaceTest.py b/test/rmgpy/solver/solverSurfaceTest.py
index 36c08b4ad83..e39eaf258c1 100644
--- a/test/rmgpy/solver/solverSurfaceTest.py
+++ b/test/rmgpy/solver/solverSurfaceTest.py
@@ -39,9 +39,151 @@
from rmgpy.solver.surface import SurfaceReactor
from rmgpy.species import Species
from rmgpy.thermo import ThermoData, NASA, NASAPolynomial
+from rmgpy.solver.termination import TerminationTime
+from rmgpy.rmg.settings import ModelSettings, SimulatorSettings
+def get_i_thing(thing, thing_list):
+ for i in range(len(thing_list)):
+ if thing.is_isomorphic(thing_list[i]):
+ return i
+ return -1
+
class SurfaceReactorTest:
+ def setup_class(self):
+ # Define a simple surface mechanism that we can use for testing
+ # This is faster than loading in chemkin
+ self.species_list = [
+ Species(
+ molecule=[Molecule().from_smiles("[Ar]")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,4.37967], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,4.37967], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[Ne]")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,3.35532], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.5,0,0,0,0,-745.375,3.35532], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("N#N")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.53101,-0.000123661,-5.02999e-07,2.43531e-09,-1.40881e-12,-1046.98,2.96747], Tmin=(200,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.95258,0.0013969,-4.92632e-07,7.8601e-11,-4.60755e-15,-923.949,5.87189], Tmin=(1000,'K'), Tmax=(6000,'K'))], Tmin=(200,'K'), Tmax=(6000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("C")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[4.20542,-0.00535559,2.51124e-05,-2.13763e-08,5.97526e-12,-10161.9,-0.921283], Tmin=(100,'K'), Tmax=(1084.12,'K')), NASAPolynomial(coeffs=[0.908259,0.0114541,-4.57174e-06,8.29193e-10,-5.66316e-14,-9719.97,13.9931], Tmin=(1084.12,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[O][O]")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.53732,-0.00121572,5.3162e-06,-4.89446e-09,1.45846e-12,-1038.59,4.68368], Tmin=(100,'K'), Tmax=(1074.55,'K')), NASAPolynomial(coeffs=[3.15382,0.00167804,-7.69974e-07,1.51275e-10,-1.08782e-14,-1040.82,6.16756], Tmin=(1074.55,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("O")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[4.05764,-0.000787929,2.90875e-06,-1.47516e-09,2.12833e-13,-30281.6,-0.311362], Tmin=(100,'K'), Tmax=(1130.23,'K')), NASAPolynomial(coeffs=[2.84325,0.00275108,-7.81028e-07,1.07243e-10,-5.79385e-15,-29958.6,5.9104], Tmin=(1130.23,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[H][H]")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.43536,0.000212712,-2.78629e-07,3.4027e-10,-7.76039e-14,-1031.36,-3.90842], Tmin=(100,'K'), Tmax=(1959.07,'K')), NASAPolynomial(coeffs=[2.78819,0.000587616,1.59022e-07,-5.52763e-11,4.34328e-15,-596.156,0.112618], Tmin=(1959.07,'K'), Tmax=(5000,'K'))], Tmin=(100,'K'), Tmax=(5000,'K'), comment="""Thermo library: primaryThermoLibrary"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[0,0,0,0,0,0,0], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[0,0,0,0,0,0,0], Tmin=(1000,'K'), Tmax=(3000,'K'))], Tmin=(298,'K'), Tmax=(3000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[H]*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.0757,0.0173581,-2.60921e-05,1.89282e-08,-5.38836e-12,-3166.19,8.15362], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.72248,-0.00106817,1.98654e-06,-1.12048e-09,2.09812e-13,-4218.24,-15.3207], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[O]=*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-0.294476,0.0144163,-2.61323e-05,2.19006e-08,-6.98019e-12,-16461.9,-0.199446], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.90245,-0.000338584,6.43373e-07,-3.66327e-10,6.90094e-14,-17049.7,-15.256], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[CH3]*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-0.0444549,0.0194368,-1.91029e-05,1.11269e-08,-2.73736e-12,-6388.04,-0.173376], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[8.65705,-0.00790308,1.401e-05,-7.40016e-09,1.31517e-12,-8635.99,-44.3353], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[H][H].*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[3.86406,0.000753456,-1.65571e-06,1.55223e-09,-4.46782e-13,-1689.28,-8.85807], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[4.0688,-0.000495807,6.59234e-07,-1.72598e-10,7.62965e-15,-1700.7,-9.71918], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[OH]*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[1.4236,0.015783,-2.91659e-05,2.50433e-08,-8.04088e-12,-18999.3,-3.1523], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[5.03574,-0.00134422,2.25916e-06,-1.08548e-09,1.77876e-13,-19634.4,-20.0345], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("O.*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[2.72971,0.00871052,-1.29132e-05,1.07295e-08,-3.39434e-12,-32612.7,-6.0448], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[5.85496,-0.00328847,5.56991e-06,-2.73008e-09,4.55898e-13,-33304.6,-21.3518], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[CH2]=*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.23007,0.0292223,-4.33155e-05,3.31428e-08,-9.96471e-12,-222.256,8.30173], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[6.8346,-0.00514926,9.15491e-06,-4.84917e-09,8.63767e-13,-2258.98,-36.2215], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[CH]#*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-2.66805,0.0290693,-4.82654e-05,3.87589e-08,-1.19749e-11,-2918.16,9.72941], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[4.9043,-0.00263865,4.71729e-06,-2.51267e-09,4.49659e-13,-4464.41,-26.7108], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ ),
+ Species(
+ molecule=[Molecule().from_smiles("[C]$*")],
+ thermo=NASA(polynomials=[NASAPolynomial(coeffs=[-1.94351,0.0197767,-3.36337e-05,2.69027e-08,-8.27959e-12,7000.57,7.1747], Tmin=(298,'K'), Tmax=(1000,'K')), NASAPolynomial(coeffs=[2.81347,-0.000693952,1.30308e-06,-7.387e-10,1.38796e-13,6060.03,-15.5738], Tmin=(1000,'K'), Tmax=(2000,'K'))], Tmin=(298,'K'), Tmax=(2000,'K'), comment="""Thermo library: surfaceThermoPt111"""),
+ )
+ ]
+ X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("*")]), self.species_list)]
+ O2 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[O][O]")]), self.species_list)]
+ OX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O=*")]), self.species_list)]
+ H2 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[H][H]")]), self.species_list)]
+ HX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[H]*")]), self.species_list)]
+ CH4 = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("C")]), self.species_list)]
+ CH3X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("C*")]), self.species_list)]
+ OHX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[OH]*")]), self.species_list)]
+ H2O = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O")]), self.species_list)]
+ H2OX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("O.*")]), self.species_list)]
+ CHX = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[CH]#*")]), self.species_list)]
+ CH2X = self.species_list[get_i_thing(Species(molecule=[Molecule().from_smiles("[CH2]=*")]), self.species_list)]
+
+ self.reaction_list = [
+ Reaction(
+ reactants=[X, X, O2],
+ products=[OX, OX],
+ kinetics=StickingCoefficient(A=0.07, n=0, Ea=(0,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[X, X, H2],
+ products=[HX, HX],
+ kinetics=StickingCoefficient(A=0.046, n=0, Ea=(0,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[HX, CH3X],
+ products=[X, X, CH4],
+ kinetics=SurfaceArrhenius(A=(3.3e+21,'cm^2/(mol*s)'), n=0, Ea=(11.95,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[X, OHX],
+ products=[OX, HX],
+ kinetics=SurfaceArrhenius(A=(7.39e+19,'cm^2/(mol*s)'), n=0, Ea=(18.475,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[X, H2O],
+ products=[H2OX],
+ kinetics=StickingCoefficient(A=0.75, n=0, Ea=(0,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[X, H2OX],
+ products=[HX, OHX],
+ kinetics=SurfaceArrhenius(A=(1.15e+19,'cm^2/(mol*s)'), n=0, Ea=(24.235,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[OHX, CHX],
+ products=[OX, CH2X],
+ kinetics=SurfaceArrhenius(A=(4.4e+22,'cm^2/(mol*s)'), n=0.101, Ea=(10.143,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[OHX, CH2X],
+ products=[OX, CH3X],
+ kinetics=SurfaceArrhenius(A=(1.39e+21,'cm^2/(mol*s)'), n=0.101, Ea=(4.541,'kcal/mol'), T0=(1,'K'))
+ ),
+ Reaction(
+ reactants=[X, OX, CH4],
+ products=[OHX, CH3X],
+ kinetics=SurfaceArrhenius(A=(5e+18,'cm^4/(mol^2*s)'), n=0.7, Ea=(10.038,'kcal/mol'), T0=(1,'K'))
+ )
+ ]
+
def test_solve_h2(self):
"""
Test the surface batch reactor with a dissociative adsorption of H2
@@ -702,6 +844,10 @@ def test_solve_ch3_coverage_dependence(self):
# Check that we're computing the species fluxes correctly
for i in range(t.shape[0]):
+ # At equilibrium the reaction rate can round to exactly 0.0, which makes the
+ # relative-tolerance check below trivially fail (0 < 0); skip those points.
+ if reaction_rates[i, 0] == 0.0:
+ continue
assert abs(reaction_rates[i, 0] - -species_rates[i, 0]) < abs(
1e-6 * reaction_rates[i, 0]
)
@@ -762,3 +908,754 @@ def test_solve_ch3_coverage_dependence(self):
# Check that coverages are different
assert not np.allclose(y, y_off)
assert not np.allclose(species_rates, species_rates_off)
+
+ def test_solve_h2_thermo_coverage_dependence(self):
+ """
+ Test the surface batch reactor can properly apply thermodynamic coverage dependent parameters
+ with the dissociative adsorption of H2.
+
+ Here we choose a kinetic model consisting of the dissociative adsorption reaction
+ H2 + 2X <=> 2 HX
+ We use a SurfaceArrhenius for the rate expression.
+ """
+ h2 = Species(
+ molecule=[Molecule().from_smiles("[H][H]")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=(
+ [6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502],
+ "cal/(mol*K)",
+ ),
+ H298=(0, "kcal/mol"),
+ S298=(31.129, "cal/(mol*K)"),
+ ),
+ )
+
+ x = Species(
+ molecule=[Molecule().from_adjacency_list("1 X u0 p0")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"),
+ H298=(0.0, "kcal/mol"),
+ S298=(0.0, "cal/(mol*K)"),
+ ),
+ )
+
+ hx = Species(
+ molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"),
+ H298=(-11.26, "kcal/mol"),
+ S298=(0.44, "cal/(mol*K)"),
+ thermo_coverage_dependence={"1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}":{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(5,'J/(mol*K)'),(3,'J/(mol*K)')]},}
+ ),
+ )
+
+ rxn1 = Reaction(
+ reactants=[h2, x, x],
+ products=[hx, hx],
+ kinetics=SurfaceArrhenius(
+ A=(9.05e18, "cm^5/(mol^2*s)"),
+ n=0.5,
+ Ea=(5.0, "kJ/mol"),
+ T0=(1.0, "K"),
+ ),
+ )
+
+ rxn2 = Reaction(
+ reactants=[h2, x, x],
+ products=[hx, hx],
+ kinetics=SurfaceArrhenius(
+ A=(9.05e-18, "cm^5/(mol^2*s)"), # 1e36 times slower
+ n=0.5,
+ Ea=(5.0, "kJ/mol"),
+ T0=(1.0, "K"),
+ ),
+ )
+
+ core_species = [h2, x, hx]
+ edge_species = []
+ core_reactions = [rxn1]
+ edge_reactions = []
+
+ T = 600
+ P_initial = 1.0e5
+ rxn_system = SurfaceReactor(
+ T,
+ P_initial,
+ n_sims=1,
+ initial_gas_mole_fractions={h2: 1.0},
+ initial_surface_coverages={x: 1.0},
+ surface_volume_ratio=(1e1, "m^-1"),
+ surface_site_density=(2.72e-9, "mol/cm^2"),
+ coverage_dependence=True,
+ thermo_coverage_dependence=True,
+ termination=[],
+ )
+
+ rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions)
+
+ tlist = np.logspace(-13, -5, 81, dtype=float)
+
+ assert isinstance(hx.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type
+ for species, parameters in hx.thermo.thermo_coverage_dependence.items():
+ assert isinstance(species, str) # species should be an ajacency list
+ assert isinstance(parameters, dict)
+ assert parameters["model"] is not None
+ assert parameters["enthalpy-coefficients"] is not None
+ assert parameters["entropy-coefficients"] is not None
+ assert np.array_equal(rxn_system.stoi_matrix, np.array([[-1., -2., 2.]]))
+ thermo_coeffs = np.array([np.zeros((3,6))]*3)
+ thermo_coeffs[-1][-1] = [1., 2., 3., 1., 5., 3.]
+ assert np.array_equal(rxn_system.thermo_coeff_matrix, thermo_coeffs)
+ # Integrate to get the solution at each time point
+ t = []
+ y = []
+ reaction_rates = []
+ species_rates = []
+ start_time = time.time()
+ for t1 in tlist:
+ rxn_system.advance(t1)
+ t.append(rxn_system.t)
+ # You must make a copy of y because it is overwritten by DASSL at
+ # each call to advance()
+ y.append(rxn_system.y.copy())
+ reaction_rates.append(rxn_system.core_reaction_rates.copy())
+ species_rates.append(rxn_system.core_species_rates.copy())
+ run_time = time.time() - start_time
+ print(f"Simulation took {run_time:.3e} seconds")
+
+ # Convert the solution vectors to np arrays
+ t = np.array(t, float)
+ y = np.array(y, float)
+ reaction_rates = np.array(reaction_rates, float)
+ species_rates = np.array(species_rates, float)
+ total_sites = y[0, 1]
+
+ # Check that we're computing the species fluxes correctly
+ for i in range(t.shape[0]):
+ assert abs(reaction_rates[i, 0] - -1.0 * species_rates[i, 0]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+ assert abs(reaction_rates[i, 0] - -0.5 * species_rates[i, 1]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+ assert abs(reaction_rates[i, 0] - 0.5 * species_rates[i, 2]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+
+ # Check that we've reached equilibrium
+ assert abs(reaction_rates[-1, 0] - 0.0) < 1e-2
+
+ def test_solve_ch3_thermo_coverage_dependence(self):
+ """
+ Test the surface batch reactor can properly apply thermodynamic coverage dependent parameters
+ with the nondissociative adsorption of CH3
+
+ Here we choose a kinetic model consisting of the adsorption reaction
+ CH3 + X <=> CH3X
+ We use a sticking coefficient for the rate expression.
+ """
+
+ ch3 = Species(
+ molecule=[Molecule().from_smiles("[CH3]")],
+ thermo=NASA(
+ polynomials=[
+ NASAPolynomial(
+ coeffs=[
+ 3.91547,
+ 0.00184155,
+ 3.48741e-06,
+ -3.32746e-09,
+ 8.49953e-13,
+ 16285.6,
+ 0.351743,
+ ],
+ Tmin=(100, "K"),
+ Tmax=(1337.63, "K"),
+ ),
+ NASAPolynomial(
+ coeffs=[
+ 3.54146,
+ 0.00476786,
+ -1.82148e-06,
+ 3.28876e-10,
+ -2.22545e-14,
+ 16224,
+ 1.66032,
+ ],
+ Tmin=(1337.63, "K"),
+ Tmax=(5000, "K"),
+ ),
+ ],
+ Tmin=(100, "K"),
+ Tmax=(5000, "K"),
+ E0=(135.382, "kJ/mol"),
+ comment="""Thermo library: primaryThermoLibrary + radical(CH3)""",
+ ),
+ molecular_weight=(15.0345, "amu"),
+ )
+
+ x = Species(
+ molecule=[Molecule().from_adjacency_list("1 X u0 p0")],
+ thermo=NASA(
+ polynomials=[
+ NASAPolynomial(coeffs=[0, 0, 0, 0, 0, 0, 0], Tmin=(298, "K"), Tmax=(1000, "K")),
+ NASAPolynomial(coeffs=[0, 0, 0, 0, 0, 0, 0], Tmin=(1000, "K"), Tmax=(2000, "K")),
+ ],
+ Tmin=(298, "K"),
+ Tmax=(2000, "K"),
+ E0=(-6.19426, "kJ/mol"),
+ comment="""Thermo library: surfaceThermo""",
+ ),
+ )
+
+ ch3x = Species(
+ molecule=[
+ Molecule().from_adjacency_list(
+ """1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S}
+2 H u0 p0 c0 {1,S}
+3 H u0 p0 c0 {1,S}
+4 H u0 p0 c0 {1,S}
+5 X u0 p0 c0 {1,S}"""
+ )
+ ],
+ thermo=NASA(
+ polynomials=[
+ NASAPolynomial(
+ coeffs=[
+ -0.552219,
+ 0.026442,
+ -3.55617e-05,
+ 2.60044e-08,
+ -7.52707e-12,
+ -4433.47,
+ 0.692144,
+ ],
+ Tmin=(298, "K"),
+ Tmax=(1000, "K"),
+ ),
+ NASAPolynomial(
+ coeffs=[
+ 3.62557,
+ 0.00739512,
+ -2.43797e-06,
+ 1.86159e-10,
+ 3.6485e-14,
+ -5187.22,
+ -18.9668,
+ ],
+ Tmin=(1000, "K"),
+ Tmax=(2000, "K"),
+ ),
+ ],
+ Tmin=(298, "K"),
+ Tmax=(2000, "K"),
+ E0=(-39.1285, "kJ/mol"),
+ thermo_coverage_dependence={"1 C u0 p0 c0 {2,S} {3,S} {4,S} {5,S} \n 2 H u0 p0 c0 {1,S} \n 3 H u0 p0 c0 {1,S} \n 4 H u0 p0 c0 {1,S} \n 5 X u0 p0 c0 {1,S}":
+ {'model':'polynomial', 'enthalpy-coefficients':[(1e5,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(5,'J/(mol*K)'),(3,'J/(mol*K)')]},},
+ comment="""Thermo library: surfaceThermoNi111""",
+ ),
+ )
+
+ rxn1 = Reaction(
+ reactants=[ch3, x],
+ products=[ch3x],
+ kinetics=StickingCoefficient(
+ A=0.1,
+ n=0,
+ Ea=(0, "kcal/mol"),
+ T0=(1, "K"),
+ Tmin=(200, "K"),
+ Tmax=(3000, "K"),
+ comment="""Exact match found for rate rule (Adsorbate;VacantSite)""",
+ ),
+ )
+ core_species = [ch3, x, ch3x]
+ edge_species = []
+ core_reactions = [rxn1]
+ edge_reactions = []
+
+ T = 800.0
+ P_initial = 1.0e5
+ rxn_system = SurfaceReactor(
+ T,
+ P_initial,
+ n_sims=1,
+ initial_gas_mole_fractions={ch3: 1.0},
+ initial_surface_coverages={x: 1.0},
+ surface_volume_ratio=(1.0, "m^-1"),
+ surface_site_density=(2.72e-9, "mol/cm^2"),
+ thermo_coverage_dependence=True,
+ termination=[],
+ )
+ # in chemkin, the sites are mostly occupied in about 1e-8 seconds.
+
+ rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions)
+
+ tlist = np.logspace(-13, -5, 81, dtype=float)
+
+ print("Surface site density:", rxn_system.surface_site_density.value_si)
+
+ print(
+ "rxn1 rate coefficient",
+ rxn1.get_surface_rate_coefficient(rxn_system.T.value_si, rxn_system.surface_site_density.value_si),
+ )
+
+ assert isinstance(ch3x.thermo.thermo_coverage_dependence, dict) # check to make sure coverage_dependence is still the correct type
+ for species, parameters in ch3x.thermo.thermo_coverage_dependence.items():
+ assert isinstance(species, str) # species should be an ajacency list
+ assert isinstance(parameters, dict)
+ assert parameters["model"] is not None
+ assert parameters["enthalpy-coefficients"] is not None
+ assert parameters["entropy-coefficients"] is not None
+
+ # check thermo_coverage_dependence is on
+ # and thermo_coeff_matrix and stoi_matrix are correctly created
+ assert rxn_system.thermo_coverage_dependence is True
+ assert np.array_equal(rxn_system.stoi_matrix, np.array([[-1, -1, 1]], dtype=float))
+ thermo_coeff_matrix = np.array([np.zeros((3,6))]*3)
+ thermo_coeff_matrix[-1][-1] = [1e5, 2, 3, 1, 5, 3]
+ assert np.array_equal(rxn_system.thermo_coeff_matrix, thermo_coeff_matrix)
+
+ # Integrate to get the solution at each time point
+ t = []
+ y = []
+ reaction_rates = []
+ species_rates = []
+ t.append(rxn_system.t)
+ # You must make a copy of y because it is overwritten by DASSL at
+ # each call to advance()
+ y.append(rxn_system.y.copy())
+ reaction_rates.append(rxn_system.core_reaction_rates.copy())
+ species_rates.append(rxn_system.core_species_rates.copy())
+ print("time: ", t)
+ print("moles:", y)
+ print("reaction rates:", reaction_rates)
+ print("species rates:", species_rates)
+ start_time = time.time()
+ for t1 in tlist:
+ rxn_system.advance(t1)
+ t.append(rxn_system.t)
+ # You must make a copy of y because it is overwritten by DASSL at
+ # each call to advance()
+ y.append(rxn_system.y.copy())
+ reaction_rates.append(rxn_system.core_reaction_rates.copy())
+ species_rates.append(rxn_system.core_species_rates.copy())
+ run_time = time.time() - start_time
+ print(f"Simulation took {run_time:.3e} seconds")
+
+ # Convert the solution vectors to np arrays
+ t = np.array(t, float)
+ y = np.array(y, float)
+ reaction_rates = np.array(reaction_rates, float)
+ species_rates = np.array(species_rates, float)
+ V = constants.R * rxn_system.T.value_si * np.sum(y) / rxn_system.P_initial.value_si
+
+ # Check that we're computing the species fluxes correctly
+ for i in range(t.shape[0]):
+ assert abs(reaction_rates[i, 0] - -species_rates[i, 0]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+ assert abs(reaction_rates[i, 0] - -species_rates[i, 1]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+ assert abs(reaction_rates[i, 0] - species_rates[i, 2]) < abs(
+ 1e-6 * reaction_rates[i, 0]
+ )
+
+ # Check that we've reached equilibrium by the end
+ assert abs(reaction_rates[-1, 0] - 0.0) < 1e-2
+
+ # Run model with Covdep off so we can test that it is actually being implemented
+ rxn_system = SurfaceReactor(
+ T,
+ P_initial,
+ n_sims=1,
+ initial_gas_mole_fractions={ch3: 1.0},
+ initial_surface_coverages={x: 1.0},
+ surface_volume_ratio=(1.0, "m^-1"),
+ surface_site_density=(2.72e-9, "mol/cm^2"),
+ termination=[],
+ )
+
+ rxn_system.initialize_model(core_species, core_reactions, edge_species, edge_reactions)
+
+ # check thermo_coverage_dependence is off
+ # and thermo_coeff_matrix and stoi_matrix are not created
+ assert rxn_system.thermo_coverage_dependence is False
+ assert rxn_system.thermo_coeff_matrix is None
+ assert rxn_system.stoi_matrix is None
+
+ tlist = np.logspace(-13, -5, 81, dtype=float)
+
+ # Integrate to get the solution at each time point
+ t = []
+ y_off = []
+ species_rates_off = []
+ t.append(rxn_system.t)
+
+ # You must make a copy of y because it is overwritten by DASSL at
+ # each call to advance()
+ y_off.append(rxn_system.y.copy())
+ species_rates_off.append(rxn_system.core_species_rates.copy())
+ for t1 in tlist:
+ rxn_system.advance(t1)
+ t.append(rxn_system.t)
+ # You must make a copy of y because it is overwritten by DASSL at
+ # each call to advance()
+ y_off.append(rxn_system.y.copy())
+ species_rates_off.append(rxn_system.core_species_rates.copy())
+ run_time = time.time() - start_time
+ print(f"Simulation took {run_time:.3e} seconds")
+
+ # Convert the solution vectors to np arrays
+ t = np.array(t, float)
+ y_off = np.array(y_off, float)
+ species_rates_off = np.array(species_rates_off, float)
+
+ # Check that we've reached equilibrium
+ assert abs(species_rates_off[-1, 0] - 0.0) < 1e-2
+
+ # Check that coverages are different
+ assert not np.allclose(y, y_off)
+ assert not np.allclose(species_rates, species_rates_off)
+
+ def test_jacobian_with_finite_differences(self):
+
+ # make a simple mechanism
+ x_O2 = 3e-5
+ x_CH4 = 1e-5
+ T = (900, 'K')
+ P = (1, 'atm')
+
+ surface_volume_ratio = (1.0, "m^-1") # TODO, try higher surface volume ratios
+ surface_site_density = (2.483e-8, "kmol/m^2") # read from Cantera yaml just to be sure these match
+ termination = TerminationTime((1.0, 's'))
+
+
+ Ar = self.species_list[get_i_thing(Species(smiles='[Ar]'), self.species_list)]
+ CH4 = self.species_list[get_i_thing(Species(smiles='C'), self.species_list)]
+ CO2 = self.species_list[get_i_thing(Species(smiles='O=C=O'), self.species_list)]
+ O2 = self.species_list[get_i_thing(Species(smiles='[O][O]'), self.species_list)]
+ X = self.species_list[get_i_thing(Species(smiles='*'), self.species_list)]
+
+ initial_gas_mole_fractions = {O2: x_O2, CH4: x_CH4, Ar: 1.0 - x_O2 - x_CH4}
+ initial_surface_coverages = {X: 1.0}
+ sensitive_species = [CO2]
+
+ reaction_system = SurfaceReactor(
+ T,
+ P,
+ n_sims=1,
+ initial_gas_mole_fractions=initial_gas_mole_fractions,
+ initial_surface_coverages=initial_surface_coverages,
+ surface_volume_ratio=surface_volume_ratio,
+ surface_site_density=surface_site_density,
+ termination=[termination],
+ sensitive_species=sensitive_species,
+ )
+
+ # Need to list some sens_worksheets so this doesn't crash when sensitivity is turned on
+ reaction_system.simulate(
+ core_species=self.species_list,
+ core_reactions=self.reaction_list,
+ edge_species=[],
+ edge_reactions=[],
+ surface_species=[],
+ surface_reactions=[],
+ model_settings=ModelSettings(tol_move_to_core=1e5), # tol_move_to_core isn't set by default which causes an error
+ simulator_settings=SimulatorSettings(), # defaults
+ sensitivity=True,
+ sens_worksheet=['temp_sensitivity.csv'],
+ )
+
+ # now comapare the jacobian to a finite difference approximation of the jacobian for the sensitive species
+ t = reaction_system.t
+ y = reaction_system.y
+ dydt = reaction_system.dydt
+
+ J_analytical = reaction_system.jacobian(t, y, dydt, cj=0.0)
+
+ # turn off sensitivity so that it only handles the first n values of y and doesn't get bogged
+ # down in all the partial derivatives that get stored in y for sensitivity calculations
+ reaction_system.sensitivity = False
+
+ n = reaction_system.num_core_species
+ eps_machine = np.sqrt(np.finfo(float).eps)
+ n_scale = 1e-10
+
+ # Get baseline residual f(n)
+ f0, _ = reaction_system.residual(t, y[:n], dydt[:n])
+
+ # Build finite difference Jacobian by column
+ J_fd = np.zeros((n, n))
+ for s in range(n):
+ y_perturbed = y.copy()
+ delta_n_s = eps_machine * max(abs(y[s]), n_scale) # figure out how much to perturb the value
+ y_perturbed[s] += delta_n_s # add \Delta n_s
+
+ f_perturbed, _ = reaction_system.residual(t, y_perturbed[:n], dydt[:n])
+ J_fd[:, s] = (f_perturbed - f0) / delta_n_s
+
+ assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6)
+
+ def test_jacobian_with_thermo_coverage_dependence(self):
+ """
+ Verify the analytical Jacobian uses the coverage-corrected reverse rate
+ constant kr (not the uncorrected self.kb) when thermo_coverage_dependence
+ is active.
+
+ This is a regression test for the bug fixed in PR #2975: the Jacobian
+ previously used kr = kf / Keq instead of kr = kf / Keq_corrected(theta),
+ which made the analytical Jacobian inconsistent with the residual and
+ forced the ODE solver to take extremely small time steps.
+
+ The analytical Jacobian deliberately holds kr fixed at the current
+ coverages (it neglects the d(kr)/d(theta) term), so a direct finite
+ difference of the residual with thermo_coverage_dependence still active
+ would not match. Instead we freeze kr at the coverage-corrected value
+ and finite-difference the residual: the analytical Jacobian must agree
+ with that, isolating the mass-action structure and confirming the
+ corrected kr is used. We also assert the corrected kr differs
+ substantially from the uncorrected self.kb, otherwise the test would
+ pass even with the old (buggy) code and would not exercise the fix.
+ """
+ h2 = Species(
+ molecule=[Molecule().from_smiles("[H][H]")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502], "cal/(mol*K)"),
+ H298=(0, "kcal/mol"),
+ S298=(31.129, "cal/(mol*K)"),
+ ),
+ )
+ x = Species(
+ molecule=[Molecule().from_adjacency_list("1 X u0 p0")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"),
+ H298=(0.0, "kcal/mol"),
+ S298=(0.0, "cal/(mol*K)"),
+ ),
+ )
+ # Large thermo coverage coefficients so the coverage correction to Keq
+ # (and hence kr) is significant; entropy coefficients are zero to keep
+ # the correction purely enthalpic and easy to reason about.
+ hx = Species(
+ molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"),
+ H298=(-11.26, "kcal/mol"),
+ S298=(0.44, "cal/(mol*K)"),
+ thermo_coverage_dependence={
+ "1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}": {
+ "model": "polynomial",
+ "enthalpy-coefficients": [(8000, "J/mol"), (4000, "J/mol"), (2000, "J/mol")],
+ "entropy-coefficients": [(0, "J/(mol*K)"), (0, "J/(mol*K)"), (0, "J/(mol*K)")],
+ },
+ },
+ ),
+ )
+ rxn1 = Reaction(
+ reactants=[h2, x, x],
+ products=[hx, hx],
+ kinetics=SurfaceArrhenius(
+ A=(9.05e18, "cm^5/(mol^2*s)"),
+ n=0.5,
+ Ea=(5.0, "kJ/mol"),
+ T0=(1.0, "K"),
+ ),
+ )
+ core_species = [h2, x, hx]
+ core_reactions = [rxn1]
+
+ T = 600
+ P_initial = 1.0e5
+ rxn_system = SurfaceReactor(
+ T,
+ P_initial,
+ n_sims=1,
+ initial_gas_mole_fractions={h2: 1.0},
+ initial_surface_coverages={x: 1.0},
+ surface_volume_ratio=(1e1, "m^-1"),
+ surface_site_density=(2.72e-9, "mol/cm^2"),
+ thermo_coverage_dependence=True,
+ termination=[],
+ )
+ rxn_system.initialize_model(core_species, core_reactions, [], [])
+
+ n = rxn_system.num_core_species
+ total_sites = (rxn_system.surface_site_density.value_si
+ * rxn_system.V * rxn_system.surface_volume_ratio.value_si)
+
+ # Build a state with non-trivial HX coverage so the coverage correction is active.
+ y = np.zeros(n)
+ y[0] = 1.0 # moles of gas-phase H2 (one mole total of gas at start)
+ y[1] = 0.4 * total_sites # X
+ y[2] = 0.6 * total_sites # HX
+ dydt = np.zeros(n)
+
+ coverages = np.where(rxn_system.species_on_surface[:n],
+ np.maximum(y / total_sites, 0.0), 0.0)
+ corrected_keq = rxn_system.compute_thermo_coverage_corrections(coverages)
+ kr_corrected = rxn_system.kf / corrected_keq
+
+ # The coverage correction must be significant, otherwise the test would pass
+ # even with the old uncorrected kr = self.kb and would not exercise the fix.
+ assert not np.allclose(kr_corrected, rxn_system.kb, rtol=0.5)
+
+ J_analytical = rxn_system.jacobian(0.0, y, dydt, cj=0.0)
+
+ # Freeze kr at the coverage-corrected value and finite-difference the residual.
+ # With thermo_coverage_dependence turned off and kb set to the corrected kr, the
+ # residual uses the same constant kr as the analytical Jacobian, so the two must
+ # agree. (We freeze because the analytical Jacobian deliberately omits d(kr)/d(theta).)
+ rxn_system.thermo_coverage_dependence = False
+ rxn_system.kb = kr_corrected.copy()
+ rxn_system.sensitivity = False
+
+ f0, _ = rxn_system.residual(0.0, y, dydt)
+
+ eps_machine = np.sqrt(np.finfo(float).eps)
+ n_scale = 1e-10
+ J_fd = np.zeros((n, n))
+ for s in range(n):
+ y_perturbed = y.copy()
+ delta_n_s = eps_machine * max(abs(y[s]), n_scale)
+ y_perturbed[s] += delta_n_s
+ f_perturbed, _ = rxn_system.residual(0.0, y_perturbed, dydt)
+ J_fd[:, s] = (f_perturbed - f0) / delta_n_s
+
+ assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6)
+
+ def test_jacobian_with_kinetic_coverage_dependence(self):
+ """
+ Verify the analytical Jacobian applies the kinetic ``coverage_dependence``
+ correction to kf and kr, consistently with the residual.
+
+ Previously the Jacobian used the uncorrected self.kf / self.kb while the
+ residual scaled both by the coverage-dependent factor, leaving the
+ Jacobian inconsistent with the rate expression it differentiates.
+
+ As in :meth:`test_jacobian_with_thermo_coverage_dependence`, we freeze the
+ rate constants at their coverage-corrected values and finite-difference the
+ residual, because the analytical Jacobian deliberately neglects the
+ d(correction)/d(coverage) term. The correction must differ from unity,
+ otherwise the test would pass even with the old (uncorrected) code.
+ """
+ h2 = Species(
+ molecule=[Molecule().from_smiles("[H][H]")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([6.955, 6.955, 6.956, 6.961, 7.003, 7.103, 7.502], "cal/(mol*K)"),
+ H298=(0, "kcal/mol"),
+ S298=(31.129, "cal/(mol*K)"),
+ ),
+ )
+ x = Species(
+ molecule=[Molecule().from_adjacency_list("1 X u0 p0")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "cal/(mol*K)"),
+ H298=(0.0, "kcal/mol"),
+ S298=(0.0, "cal/(mol*K)"),
+ ),
+ )
+ hx = Species(
+ molecule=[Molecule().from_adjacency_list("1 H u0 p0 {2,S} \n 2 X u0 p0 {1,S}")],
+ thermo=ThermoData(
+ Tdata=([300, 400, 500, 600, 800, 1000, 1500], "K"),
+ Cpdata=([1.50, 2.58, 3.40, 4.00, 4.73, 5.13, 5.57], "cal/(mol*K)"),
+ H298=(-11.26, "kcal/mol"),
+ S298=(0.44, "cal/(mol*K)"),
+ ),
+ )
+ # a=1, m=0 gives a coverage correction of 10**(theta_x) which is clearly != 1
+ # at the chosen coverage and avoids the theta**m singularity at m<0.
+ rxn1 = Reaction(
+ reactants=[h2, x, x],
+ products=[hx, hx],
+ kinetics=SurfaceArrhenius(
+ A=(9.05e18, "cm^5/(mol^2*s)"),
+ n=0.5,
+ Ea=(5.0, "kJ/mol"),
+ T0=(1.0, "K"),
+ coverage_dependence={x: {"a": 1.0, "m": 0.0, "E": (0.0, "J/mol")}},
+ ),
+ )
+ core_species = [h2, x, hx]
+ core_reactions = [rxn1]
+
+ T = 600
+ P_initial = 1.0e5
+ rxn_system = SurfaceReactor(
+ T,
+ P_initial,
+ n_sims=1,
+ initial_gas_mole_fractions={h2: 1.0},
+ initial_surface_coverages={x: 1.0},
+ surface_volume_ratio=(1e1, "m^-1"),
+ surface_site_density=(2.72e-9, "mol/cm^2"),
+ coverage_dependence=True,
+ termination=[],
+ )
+ rxn_system.initialize_model(core_species, core_reactions, [], [])
+
+ n = rxn_system.num_core_species
+ total_sites = (rxn_system.surface_site_density.value_si
+ * rxn_system.V * rxn_system.surface_volume_ratio.value_si)
+
+ # Build a state with non-trivial X coverage so the correction is active.
+ y = np.zeros(n)
+ y[0] = 1.0 # moles of gas-phase H2 (one mole total of gas at start)
+ y[1] = 0.4 * total_sites # X
+ y[2] = 0.6 * total_sites # HX
+ dydt = np.zeros(n)
+
+ coverages = np.where(rxn_system.species_on_surface[:n],
+ np.maximum(y / total_sites, 0.0), 0.0)
+
+ # Replicate the residual's coverage-correction factor using the parameters the
+ # solver actually stored (avoids any unit ambiguity in the input).
+ coverage_corrections = np.ones_like(rxn_system.kf)
+ for i, deps in rxn_system.coverage_dependencies.items():
+ theta = coverages[i]
+ if theta <= 1e-6:
+ continue
+ for j, a, m, E in deps:
+ coverage_corrections[j] *= (10.0 ** (a * theta) * theta ** m
+ * np.exp(-E * theta / (constants.R * rxn_system.T.value_si)))
+
+ # The correction must be significant, otherwise the test would pass even with the
+ # old code that ignored coverage_dependence in the Jacobian.
+ assert not np.allclose(coverage_corrections, 1.0, rtol=0.1)
+
+ kf_corrected = rxn_system.kf * coverage_corrections
+ kr_corrected = rxn_system.kb * coverage_corrections
+
+ J_analytical = rxn_system.jacobian(0.0, y, dydt, cj=0.0)
+
+ # Freeze the rate constants at their coverage-corrected values and turn off
+ # coverage_dependence so the residual uses the same constant kf/kr as the
+ # analytical Jacobian (which omits d(correction)/d(coverage)).
+ rxn_system.coverage_dependence = False
+ rxn_system.kf = kf_corrected.copy()
+ rxn_system.kb = kr_corrected.copy()
+ rxn_system.sensitivity = False
+
+ f0, _ = rxn_system.residual(0.0, y, dydt)
+
+ eps_machine = np.sqrt(np.finfo(float).eps)
+ n_scale = 1e-10
+ J_fd = np.zeros((n, n))
+ for s in range(n):
+ y_perturbed = y.copy()
+ delta_n_s = eps_machine * max(abs(y[s]), n_scale)
+ y_perturbed[s] += delta_n_s
+ f_perturbed, _ = rxn_system.residual(0.0, y_perturbed, dydt)
+ J_fd[:, s] = (f_perturbed - f0) / delta_n_s
+
+ assert np.allclose(J_analytical, J_fd, rtol=1e-2, atol=1e-6)
diff --git a/test/rmgpy/speciesTest.py b/test/rmgpy/speciesTest.py
index 6c2f558b212..0971722a715 100644
--- a/test/rmgpy/speciesTest.py
+++ b/test/rmgpy/speciesTest.py
@@ -34,7 +34,7 @@
from rmgpy.species import Species
from rmgpy.transport import TransportData
-from rmgpy.molecule import Molecule
+from rmgpy.molecule import Atom, Molecule, get_element
from rmgpy.thermo import ThermoData
from rmgpy.statmech import (
Conformer,
@@ -458,23 +458,25 @@ def test_cantera(self):
rmg_ct_species = rmg_species.to_cantera(use_chemkin_identifier=True)
- ct_species = ct.Species.fromCti(
- """species(name=u'Ar',
- atoms='Ar:1',
- thermo=(NASA([200.00, 1000.00],
- [ 2.50000000E+00, 0.00000000E+00, 0.00000000E+00,
- 0.00000000E+00, 0.00000000E+00, -7.45375000E+02,
- 4.37967000E+00]),
- NASA([1000.00, 6000.00],
- [ 2.50000000E+00, 0.00000000E+00, 0.00000000E+00,
- 0.00000000E+00, 0.00000000E+00, -7.45375000E+02,
- 4.37967000E+00])),
- transport=gas_transport(geom='atom',
- diam=3.33,
- well_depth=136.501,
- dipole=2.0,
- polar=1.0,
- rot_relax=15.0))"""
+ ct_species = ct.Species.from_yaml(
+ """
+ name: Ar
+ composition: {Ar: 1}
+ thermo:
+ model: NASA7
+ temperature-ranges: [200.00, 1000.00, 6000.00]
+ data:
+ - [2.50000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, 4.37967000E+00]
+ - [2.50000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, 0.00000000E+00, -7.45375000E+02, 4.37967000E+00]
+ transport:
+ model: gas
+ geometry: atom
+ diameter: 3.33
+ well-depth: 136.501
+ dipole: 2.0
+ polarizability: 1.0
+ rotational-relaxation: 15.0
+ """
)
assert type(rmg_ct_species) == type(ct_species)
assert rmg_ct_species.name == ct_species.name
@@ -483,6 +485,38 @@ def test_cantera(self):
assert type(rmg_ct_species.thermo) == type(ct_species.thermo)
assert type(rmg_ct_species.transport) == type(ct_species.transport)
+ def test_to_cantera_warns_and_uses_charge_for_explicit_electron_mismatch(self, caplog):
+ """
+ Test that a charged Cantera species composition uses the net charge when
+ explicit electrons disagree.
+ """
+ mol = Molecule(atoms=[
+ Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0),
+ Atom(element=get_element("e"), charge=-1, radical_electrons=0, lone_pairs=0),
+ ])
+ species = Species(label="H2minus_with_one_electron", molecule=[mol])
+
+ ct_species = species.to_cantera()
+
+ assert ct_species.composition["E"] == 2
+ assert "has 1 electrons but charge -2" in caplog.text
+ assert "Reporting 2 electrons in the Cantera composition." in caplog.text
+
+ def test_to_cantera_uses_charge_when_electrons_unspecified(self, caplog):
+ """
+ Test that a charged Cantera species composition uses the net charge
+ without a warning when no explicit electrons are present.
+ """
+ mol = Molecule(atoms=[
+ Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0),
+ ])
+ species = Species(label="Hminus", molecule=[mol])
+
+ ct_species = species.to_cantera()
+
+ assert ct_species.composition["E"] == 1
+ assert "electrons but charge" not in caplog.text
+
def test_get_transport_data(self):
"""
Test that transport data can be retrieved correctly via the get_transport_data method.
diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp
index 769021b250e..b2a6b06a7e3 100644
--- a/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp
+++ b/test/rmgpy/test_data/chemkin/chemkin_py/NC/chem.inp
@@ -68,7 +68,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar1 G200.000 6000.000 1000.00 1
2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp
index 9fc1a9b3f6f..cf51bc2d75e 100644
--- a/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp
+++ b/test/rmgpy/test_data/chemkin/chemkin_py/minimal/chem.inp
@@ -14,7 +14,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp b/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp
index b33bc969c8b..8bc76faa408 100644
--- a/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp
+++ b/test/rmgpy/test_data/chemkin/chemkin_py/pdd/chem.inp
@@ -15,7 +15,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp
index 0815daee86f..ea252ab0d6c 100644
--- a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp
+++ b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-gas.inp
@@ -11,7 +11,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
Ar Ar1 G200.000 6000.000 1000.00 1
2.50000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 0.00000000E+00 2
diff --git a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp
index 992e28bb709..fc28188bff0 100644
--- a/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp
+++ b/test/rmgpy/test_data/chemkin/chemkin_py/surface/chem-surface.inp
@@ -6,7 +6,7 @@ ELEMENTS
X /195.083/
END
-SITE SDEN/2.4830E-09/ ! mol/cm^2
+SITE/SURF0/ SDEN/2.4830E-09/ ! mol/cm^2
X
HX
OX
diff --git a/test/rmgpy/test_data/mainTest/input.py b/test/rmgpy/test_data/mainTest/input.py
index 42b34c0f739..dc87419de19 100644
--- a/test/rmgpy/test_data/mainTest/input.py
+++ b/test/rmgpy/test_data/mainTest/input.py
@@ -77,8 +77,17 @@
generateOutputHTML=False,
generatePlots=False,
saveEdgeSpecies=False,
+ verboseComments=True,
saveSimulationProfiles=False,
+ generateCanteraYAML1=True,
+ generateCanteraYAML2=True,
+ generateRMSYAML=True,
+ generateChemkin=True,
)
-generatedSpeciesConstraints(allowed=['seed mechanisms','reaction libraries'],
-maximumRadicalElectrons=3,maximumCarbeneRadicals=3,maximumSingletCarbenes=3)
+generatedSpeciesConstraints(
+ allowed=['seed mechanisms','reaction libraries'],
+ maximumRadicalElectrons=3,
+ maximumCarbeneRadicals=3,
+ maximumSingletCarbenes=3
+)
diff --git a/test/rmgpy/test_data/parsing_data/chem_annotated.inp b/test/rmgpy/test_data/parsing_data/chem_annotated.inp
index dbeb771e6f7..a85f736a422 100644
--- a/test/rmgpy/test_data/parsing_data/chem_annotated.inp
+++ b/test/rmgpy/test_data/parsing_data/chem_annotated.inp
@@ -31,7 +31,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
O(2) O 1 G100.000 5000.000 4563.27 1
@@ -259,7 +259,7 @@ HCCO(23)(+M)=O(2)+C2H(21)(+M) 1.000e+00 0.000 0.000
! Reaction index: Chemkin #25; RMG #97
! Template reaction: Disproportionation
! Flux pairs: CH3CHCH3, C3H6(28); C2H5(27), C2H6;
-! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C
+! Estimated from node Root_Ext-2R!H-R_2R!H->C_4R->C in family Disproportionation.
! Multiplied by reaction path degeneracy 6.0
C2H5(27)+CH3CHCH3<=>C2H6+C3H6(28) 3.000e+11 0.000 0.000
diff --git a/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp b/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp
index 6e7ee716566..b0c721baebb 100644
--- a/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp
+++ b/test/rmgpy/test_data/saveOutputHTML/eg6/chem_annotated.inp
@@ -22,7 +22,7 @@ END
THERM ALL
- 300.000 1000.000 5000.000
+ 300.000 1000.000 5000.000
! Thermo library: primaryThermoLibrary
Ar Ar1 G200.000 6000.000 1000.00 1
diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py
new file mode 100755
index 00000000000..8542339e86b
--- /dev/null
+++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/groups.py
@@ -0,0 +1,76 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+name = "Surface_Dissociation_Charge_Separation/groups"
+shortDesc = u""
+longDesc = u"""
+Surface bond fission of one species into two distinct adsorbates.
+Atom *1 is bonded to the surface (*3). The image below shows a single bond,
+but single and double are possible. What matters is that the bond
+between *1 and *2 must be single and have charge separation across it.
+
+ *1[+]--*2[-] *1 *2
+ | ----> | ||
+ ~*3~ + ~*4~~ ~*3~ + ~*4~~
+
+The rate, which should be in mol/m2/s,
+will be given by k * (mol/m2) * (mol/m2)
+so k should be in (m2/mol/s)
+"""
+
+template(reactants=["Combined", "VacantSite"], products=["Adsorbate1", "Adsorbate2"], ownReverse=False)
+
+reverse = "Surface_Association_Charge_Separation"
+
+reactantNum=2
+productNum=2
+
+recipe(actions=[
+ ['BREAK_BOND', '*1', 1, '*2'],
+ ['FORM_BOND', '*2', 1, '*4'],
+ ['CHANGE_BOND', '*2', 1, '*4'],
+ ['LOSE_PAIR','*2','1'],
+ ['GAIN_PAIR', '*1', '1'],
+ ['LOSE_CHARGE','*1','1'],
+ ['GAIN_CHARGE', '*2', '1'],
+])
+
+entry(
+ index = 1,
+ label = "Combined",
+ group =
+"""
+1 *1 Val5 u0 p0 c+1 {2,S} {3,[S,D]}
+2 *2 R!H u0 p[1,2,3] c-1 {1,S}
+3 *3 Xo u0 p0 c0 {1,[S,D]}
+""",
+ kinetics = None,
+)
+
+entry(
+ index = 2,
+ label="VacantSite",
+ group =
+"""
+1 *4 Xv u0 p0 c0
+""",
+ kinetics = None,
+)
+
+tree(
+"""
+L1: Combined
+L1: VacantSite
+"""
+)
+
+forbidden(
+ label = "Surf",
+ group =
+"""
+1 *1 Val5 u0 p0 c+1 {2,S} {3,[S,D]}
+2 *2 R!H u0 p[1,2,3] c-1 {1,S} {4,[S,D,T]}
+3 *3 Xo u0 p0 c0 {1,[S,D]}
+4 Xo u0 c0 {2,[S,D,T]}
+""",
+)
diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py
new file mode 100755
index 00000000000..c0683cec7cc
--- /dev/null
+++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/rules.py
@@ -0,0 +1,39 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
+name = "Surface_Dissociation_Charge_Separation/rules"
+shortDesc = u""
+longDesc = u"""
+"""
+entry(
+ index = 1,
+ label = "Combined;VacantSite",
+ kinetics = SurfaceArrheniusBEP(
+ A = (9.88e21, 'cm^2/(mol*s)'),
+ n = 0,
+ alpha = 0.52,
+ E0 = (126, 'kJ/mol'),
+ Tmin = (200, 'K'),
+ Tmax = (3000, 'K'),
+ ),
+ rank = 0,
+ shortDesc = u"""Default""",
+ longDesc = u"""
+This BEP is created from a mixture of data in literature taken from the following papers:
+
+Ma and Schneider
+https://doi.org/10.1021/acscatal.8b04251
+
+Gomez-Díaz and Lopez
+https://pubs.acs.org/doi/10.1021/jp1093349
+
+Farberow et al.
+https://doi.org/10.1021/cs500668k
+
+Deng et al.
+https://pubs.rsc.org/en/content/articlelanding/2014/ra/c3ra46544f
+
+and the current manuscript in progress by Badger et al. looking at the effects
+of NO on the light out curves for hydrocarbons.
+"""
+)
\ No newline at end of file
diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/dictionary.txt b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/dictionary.txt
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py
new file mode 100644
index 00000000000..4fa90f3a925
--- /dev/null
+++ b/test/rmgpy/test_data/testing_database/kinetics/families/Surface_Dissociation_Charge_Separation/training/reactions.py
@@ -0,0 +1,3 @@
+#!/usr/bin/env python
+# encoding: utf-8
+
diff --git a/test/rmgpy/thermo/convertTest.py b/test/rmgpy/thermo/convertTest.py
index 94637ce8f63..a60e0ddf606 100644
--- a/test/rmgpy/thermo/convertTest.py
+++ b/test/rmgpy/thermo/convertTest.py
@@ -38,7 +38,6 @@
import rmgpy.constants as constants
from rmgpy.thermo import Wilhoit, NASA, NASAPolynomial, ThermoData
-
class TestConverter:
"""
Contains unit tests of the thermodynamics model conversion functions.
@@ -57,6 +56,7 @@ def setup_class(self):
S0=(-118.46 * constants.R, "J/(mol*K)"),
Tmin=(10, "K"),
Tmax=(3000, "K"),
+ thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}},
comment="C2H6",
)
self.nasa = NASA(
@@ -93,6 +93,7 @@ def setup_class(self):
E0=(-93.6077, "kJ/mol"),
Cp0=(4.0 * constants.R, "J/(mol*K)"),
CpInf=(21.5 * constants.R, "J/(mol*K)"),
+ thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}},
comment="C2H6",
)
self.thermodata = ThermoData(
@@ -108,6 +109,7 @@ def setup_class(self):
Tmin=(10, "K"),
Tmax=(3000, "K"),
E0=(-93.6077, "kJ/mol"),
+ thermo_coverage_dependence = {'OX':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}},
comment="C2H6",
)
@@ -129,6 +131,8 @@ def test_convert_wilhoit_to_nasa(self):
s_nasa = nasa.get_entropy(T)
assert abs(s_nasa - s_wilhoit) < 1e0
assert abs(wilhoit.E0.value_si - nasa.E0.value_si) < 1e1
+ assert repr(nasa.thermo_coverage_dependence) != {}
+ assert repr(nasa.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence)
def test_convert_wilhoit_to_thermo_data(self):
"""
@@ -149,6 +153,8 @@ def test_convert_wilhoit_to_thermo_data(self):
s_thermodata = thermodata.get_entropy(T)
assert round(abs(s_thermodata - s_wilhoit), 4) == 0
assert abs(wilhoit.E0.value_si - thermodata.E0.value_si) < 1e1
+ assert repr(thermodata.thermo_coverage_dependence) != {}
+ assert repr(thermodata.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence)
def test_convert_nasa_to_wilhoit(self):
"""
@@ -168,6 +174,8 @@ def test_convert_nasa_to_wilhoit(self):
s_nasa = nasa.get_entropy(T)
assert abs(s_nasa - s_wilhoit) < 1e0
assert abs(nasa.E0.value_si - wilhoit.E0.value_si) < 2e1
+ assert repr(wilhoit.thermo_coverage_dependence) != {}
+ assert repr(wilhoit.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence)
def test_convert_nasa_to_thermo_data(self):
"""
@@ -188,6 +196,8 @@ def test_convert_nasa_to_thermo_data(self):
s_nasa = nasa.get_entropy(T)
assert round(abs(s_nasa - s_thermodata), 4) == 0
assert abs(nasa.E0.value_si - thermodata.E0.value_si) < 1e1
+ assert repr(thermodata.thermo_coverage_dependence) != {}
+ assert repr(thermodata.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence)
def test_convert_thermo_data_to_wilhoit(self):
"""
@@ -208,6 +218,8 @@ def test_convert_thermo_data_to_wilhoit(self):
s_thermodata = thermodata.get_entropy(T)
assert round(abs(s_thermodata - s_wilhoit), 3) == 0
assert abs(thermodata.E0.value_si - wilhoit.E0.value_si) < 1e1
+ assert repr(wilhoit.thermo_coverage_dependence) != {}
+ assert repr(wilhoit.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence)
def test_convert_thermo_data_to_nasa(self):
"""
@@ -228,6 +240,8 @@ def test_convert_thermo_data_to_nasa(self):
s_nasa = nasa.get_entropy(T)
assert abs(s_nasa - s_thermodata) < 1e0
assert abs(thermodata.E0.value_si - nasa.E0.value_si) < 1e1
+ assert repr(nasa.thermo_coverage_dependence) != {}
+ assert repr(nasa.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence)
def test_wilhoit_nasa_wilhoit(self):
"""
@@ -248,6 +262,8 @@ def test_wilhoit_nasa_wilhoit(self):
s_2 = wilhoit2.get_entropy(T)
assert abs(s_1 - s_2) < 1e0
assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1
+ assert repr(wilhoit1.thermo_coverage_dependence) != {}
+ assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence)
def test_wilhoit_thermo_data_wilhoit(self):
"""
@@ -268,3 +284,5 @@ def test_wilhoit_thermo_data_wilhoit(self):
s_2 = wilhoit2.get_entropy(T)
assert abs(s_1 - s_2) < 1e0
assert abs(wilhoit1.E0.value_si - wilhoit2.E0.value_si) < 1e1
+ assert repr(wilhoit1.thermo_coverage_dependence) != {}
+ assert repr(wilhoit1.thermo_coverage_dependence) == repr(wilhoit2.thermo_coverage_dependence)
diff --git a/test/rmgpy/thermo/nasaTest.py b/test/rmgpy/thermo/nasaTest.py
index f08b28e0da1..e7e59de601b 100644
--- a/test/rmgpy/thermo/nasaTest.py
+++ b/test/rmgpy/thermo/nasaTest.py
@@ -31,8 +31,7 @@
This script contains unit tests of the :mod:`rmgpy.thermo.nasa` module.
"""
-import os.path
-
+import os.path, ast
import numpy as np
@@ -69,6 +68,7 @@ def setup_class(self):
self.Tmax = 3000.0
self.Tint = 650.73
self.E0 = -782292.0 # J/mol.
+ self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}
self.comment = "C2H6"
self.nasa = NASA(
polynomials=[
@@ -82,6 +82,7 @@ def setup_class(self):
Tmin=(self.Tmin, "K"),
Tmax=(self.Tmax, "K"),
E0=(self.E0, "J/mol"),
+ thermo_coverage_dependence=self.thermo_coverage_dependence,
comment=self.comment,
)
@@ -136,6 +137,12 @@ def test_comment(self):
Test that the NASA comment property was properly set.
"""
assert self.nasa.comment == self.comment
+
+ def test_thermo_coverage_dependence(self):
+ """
+ Test that the thermo_coverage_dependence property was properly set.
+ """
+ assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(self.thermo_coverage_dependence))
def test_is_temperature_valid(self):
"""
@@ -263,6 +270,7 @@ def test_pickle(self):
assert self.nasa.Tmax.units == nasa.Tmax.units
assert self.nasa.E0.value == nasa.E0.value
assert self.nasa.E0.units == nasa.E0.units
+ assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(nasa.thermo_coverage_dependence))
assert self.nasa.comment == nasa.comment
def test_repr(self):
@@ -296,6 +304,7 @@ def test_repr(self):
assert self.nasa.Tmax.units == nasa.Tmax.units
assert self.nasa.E0.value == nasa.E0.value
assert self.nasa.E0.units == nasa.E0.units
+ assert ast.literal_eval(repr(self.nasa.thermo_coverage_dependence)) == ast.literal_eval(repr(nasa.thermo_coverage_dependence))
assert self.nasa.comment == nasa.comment
def test_to_cantera(self):
@@ -326,6 +335,7 @@ def test_to_nasa(self):
spc = Species().from_smiles("CC")
spc.get_thermo_data()
+ spc.thermo.thermo_coverage_dependence = self.thermo_coverage_dependence
T = 1350.0 # not 298K!
@@ -353,6 +363,7 @@ def test_to_nasa(self):
assert round(abs(s_nasa - s_td), -1) == 0
assert wilhoit.comment == nasa.comment
+ assert repr(wilhoit.thermo_coverage_dependence) == repr(nasa.thermo_coverage_dependence)
# nasa to wilhoi performed in wilhoitTest
@@ -364,6 +375,13 @@ def test_nasa_as_dict_full(self):
assert nasa_dict["E0"]["value"] == self.E0
assert nasa_dict["Tmin"]["value"] == self.Tmin
assert nasa_dict["Tmax"]["value"] == self.Tmax
+ assert nasa_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys()
+ sp_name = list(self.thermo_coverage_dependence.keys())[0]
+ assert nasa_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model']
+ enthalpy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']
+ assert [(int(coeff['value']), str(coeff['units'])) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients']
+ entropy_list = nasa_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']
+ assert [(int(coeff['value']), str(coeff['units'])) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients']
assert nasa_dict["comment"] == self.comment
assert tuple(nasa_dict["polynomials"]["polynomial1"]["coeffs"]["object"]) == tuple(self.coeffs_low)
assert tuple(nasa_dict["polynomials"]["polynomial2"]["coeffs"]["object"]) == tuple(self.coeffs_high)
@@ -385,6 +403,7 @@ def test_nasa_as_dict_minimal(self):
assert "CpInf" not in keys
assert "label" not in keys
assert "comment" not in keys
+ assert "thermo_coverage_dependence" not in keys
def test_nasa_polynomial_as_dict(self):
"""
diff --git a/test/rmgpy/thermo/thermodataTest.py b/test/rmgpy/thermo/thermodataTest.py
index e3a633c2dac..3a0abed4b92 100644
--- a/test/rmgpy/thermo/thermodataTest.py
+++ b/test/rmgpy/thermo/thermodataTest.py
@@ -36,7 +36,7 @@
import rmgpy.constants as constants
from rmgpy.thermo.thermodata import ThermoData
-
+import rmgpy.quantity as quantity
class TestThermoData:
"""
@@ -53,6 +53,7 @@ def setup_class(self):
self.Tmin = 100.0
self.Tmax = 3000.0
self.E0 = -782292.0
+ self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[quantity.Enthalpy(1,'J/mol'),quantity.Enthalpy(2,'J/mol'),quantity.Enthalpy(3,'J/mol')], "entropy-coefficients":[quantity.Entropy(1,'J/(mol*K)'),quantity.Entropy(2,'J/(mol*K)'),quantity.Entropy(3,'J/(mol*K)')]}}
self.comment = "C2H6"
self.thermodata = ThermoData(
Tdata=(self.Tdata, "K"),
@@ -64,6 +65,7 @@ def setup_class(self):
Tmin=(self.Tmin, "K"),
Tmax=(self.Tmax, "K"),
E0=(self.E0, "J/mol"),
+ thermo_coverage_dependence=self.thermo_coverage_dependence,
comment=self.comment,
)
@@ -130,6 +132,12 @@ def test_comment(self):
Test that the ThermoData comment property was properly set.
"""
assert self.thermodata.comment == self.comment
+
+ def test_thermo_coverage_dependence(self):
+ """
+ Test that the ThermoData thermo_coverage_dependence property was properly set.
+ """
+ assert repr(self.thermodata.thermo_coverage_dependence) == repr(self.thermo_coverage_dependence)
def test_is_temperature_valid(self):
"""
@@ -261,6 +269,7 @@ def test_pickle(self):
assert round(abs(self.thermodata.E0.value - thermodata.E0.value), 4) == 0
assert self.thermodata.E0.units == thermodata.E0.units
assert self.thermodata.label == thermodata.label
+ assert repr(self.thermodata.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence)
assert self.thermodata.comment == thermodata.comment
def test_repr(self):
@@ -295,6 +304,7 @@ def test_repr(self):
assert round(abs(self.thermodata.E0.value - thermodata.E0.value), 4) == 0
assert self.thermodata.E0.units == thermodata.E0.units
assert self.thermodata.label == thermodata.label
+ assert repr(self.thermodata.thermo_coverage_dependence) == repr(thermodata.thermo_coverage_dependence)
assert self.thermodata.comment == thermodata.comment
def test_is_all_zeros(self):
diff --git a/test/rmgpy/thermo/wilhoitTest.py b/test/rmgpy/thermo/wilhoitTest.py
index 4b74fd72a76..3b8844c184e 100644
--- a/test/rmgpy/thermo/wilhoitTest.py
+++ b/test/rmgpy/thermo/wilhoitTest.py
@@ -31,7 +31,7 @@
This script contains unit tests of the :mod:`rmgpy.thermo.wilhoit` module.
"""
-import os.path
+import os.path, ast
import numpy as np
@@ -39,13 +39,12 @@
import rmgpy.constants as constants
from rmgpy.quantity import ScalarQuantity
from rmgpy.thermo.wilhoit import Wilhoit
-
+import rmgpy.quantity as quantity
class TestWilhoit:
"""
Contains unit tests of the :class:`Wilhoit` class.
"""
-
def setup_class(self):
self.Cp0 = 4.0
self.CpInf = 21.5
@@ -59,6 +58,7 @@ def setup_class(self):
self.Tmin = 300.0
self.Tmax = 3000.0
self.comment = "C2H6"
+ self.thermo_coverage_dependence = {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}':{'model':'polynomial', 'enthalpy-coefficients':[(1,'J/mol'),(2,'J/mol'),(3,'J/mol')], "entropy-coefficients":[(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}
self.wilhoit = Wilhoit(
Cp0=(self.Cp0 * constants.R, "J/(mol*K)"),
CpInf=(self.CpInf * constants.R, "J/(mol*K)"),
@@ -71,6 +71,7 @@ def setup_class(self):
S0=(self.S0 * constants.R, "J/(mol*K)"),
Tmin=(self.Tmin, "K"),
Tmax=(self.Tmax, "K"),
+ thermo_coverage_dependence=self.thermo_coverage_dependence,
comment=self.comment,
)
@@ -159,6 +160,12 @@ def test_comment(self):
Test that the Wilhoit comment property was properly set.
"""
assert self.wilhoit.comment == self.comment
+
+ def test_thermo_coverage_dependence(self):
+ """
+ Test that the Wilhoit thermo_coverage_dependence property was properly set.
+ """
+ assert ast.literal_eval(repr(self.wilhoit.thermo_coverage_dependence)) == ast.literal_eval(repr(self.thermo_coverage_dependence))
def test_is_temperature_valid(self):
"""
@@ -287,6 +294,7 @@ def test_pickle(self):
assert self.wilhoit.Tmax.units == wilhoit.Tmax.units
assert round(abs(self.wilhoit.E0.value - wilhoit.E0.value), 4) == 0
assert self.wilhoit.E0.units == wilhoit.E0.units
+ assert repr(self.wilhoit.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence)
assert self.wilhoit.comment == wilhoit.comment
def test_repr(self):
@@ -318,6 +326,7 @@ def test_repr(self):
assert self.wilhoit.Tmax.units == wilhoit.Tmax.units
assert round(abs(self.wilhoit.E0.value - wilhoit.E0.value), 1) == 0
assert self.wilhoit.E0.units == wilhoit.E0.units
+ assert repr(self.wilhoit.thermo_coverage_dependence) == repr(wilhoit.thermo_coverage_dependence)
assert self.wilhoit.comment == wilhoit.comment
def test_fit_to_data(self):
@@ -381,6 +390,7 @@ def test_to_wilhoit(self):
spc = Species().from_smiles("CC")
spc.get_thermo_data()
+ spc.thermo.thermo_coverage_dependence = self.thermo_coverage_dependence
T = 1350.0 # not 298K!
@@ -418,6 +428,16 @@ def test_wilhoit_as_dict(self):
Test that a Wilhoit object can be converted to a dictionary representation properly
"""
wilhoit_dict = self.wilhoit.as_dict()
+
+ assert wilhoit_dict["thermo_coverage_dependence"].keys() == self.thermo_coverage_dependence.keys()
+ sp_name = list(self.thermo_coverage_dependence.keys())[0]
+ assert wilhoit_dict['thermo_coverage_dependence'][sp_name]['model'] == self.thermo_coverage_dependence[sp_name]['model']
+ enthalpy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['enthalpy-coefficients']
+ assert [(int(coeff['value']), str(coeff['units'])) for coeff in enthalpy_list] == self.thermo_coverage_dependence[sp_name]['enthalpy-coefficients']
+ entropy_list = wilhoit_dict['thermo_coverage_dependence'][sp_name]['entropy-coefficients']
+ assert [(int(coeff['value']), str(coeff['units'])) for coeff in entropy_list] == self.thermo_coverage_dependence[sp_name]['entropy-coefficients']
+
+ wilhoit_dict = {k: wilhoit_dict[k] for k in wilhoit_dict.keys() - {'thermo_coverage_dependence'}}
assert wilhoit_dict == {
"comment": "C2H6",
"B": {"units": "K", "class": "ScalarQuantity", "value": 1068.68},
@@ -448,6 +468,11 @@ def test_wilhoit_as_dict(self):
"value": 178.76114800000002,
},
"class": "Wilhoit",
+ # 'thermo_coverage_dependence': {'1 O u0 p2 c0 {2,D} \n 2 X u0 p0 c0 {1,D}': {
+ # 'model': 'polynomial',
+ # 'enthalpy-coefficients': {'class': 'np_array', 'object': [(1,'J/mol'), (2,'J/mol'), (3,'J/mol')]},
+ # 'entropy-coefficients': {'class': 'np_array', 'object': [(1,'J/(mol*K)'),(2,'J/(mol*K)'),(3,'J/(mol*K)')]}}
+ # }
}
def test_make_wilhoit(self):
@@ -456,6 +481,6 @@ def test_make_wilhoit(self):
"""
wilhoit_dict = self.wilhoit.as_dict()
new_wilhoit = Wilhoit.__new__(Wilhoit)
- class_dictionary = {"ScalarQuantity": ScalarQuantity, "Wilhoit": Wilhoit}
+ class_dictionary = {"ScalarQuantity": ScalarQuantity, "Wilhoit": Wilhoit, "np_array": np.array}
new_wilhoit.make_object(wilhoit_dict, class_dictionary)
diff --git a/test/rmgpy/tools/canteramodelTest.py b/test/rmgpy/tools/canteramodelTest.py
index 81b7d6844e0..aeb2e372d59 100644
--- a/test/rmgpy/tools/canteramodelTest.py
+++ b/test/rmgpy/tools/canteramodelTest.py
@@ -28,9 +28,8 @@
###############################################################################
import os
-
-
import numpy as np
+import tempfile
import rmgpy
from rmgpy.quantity import Quantity
@@ -42,7 +41,6 @@ def test_ignition_delay(self):
"""
Test that find_ignition_delay() works.
"""
-
t = np.arange(0, 5, 0.5)
P = np.array([0, 0.33, 0.5, 0.9, 2, 4, 15, 16, 16.1, 16.2])
OH = np.array([0, 0.33, 0.5, 0.9, 2, 4, 15, 16, 7, 2])
@@ -82,7 +80,6 @@ class RMGToCanteraTest:
def setup_class(self):
from rmgpy.chemkin import load_chemkin_file
-
folder = os.path.join(os.path.dirname(rmgpy.__file__), "tools/data/various_kinetics")
chemkin_path = os.path.join(folder, "chem_annotated.inp")
@@ -118,19 +115,32 @@ def setup_class(self):
self.rmg_surface_ct_reactions.extend(converted_reactions)
else:
self.rmg_surface_ct_reactions.append(converted_reactions)
+
+ with open(chemkin_surface_path, 'r') as f:
+ surface_content = f.read()
+ if "SITE SDEN" in surface_content:
+ # Inject a dummy phase name 'SURF'
+ surface_content = surface_content.replace("SITE SDEN", "SITE SURF SDEN")
+
+ # Write to a temporary file to avoid modifying the repo's test data
+ tf = tempfile.NamedTemporaryFile(mode='w', delete=False, suffix='.inp')
+ tf.write(surface_content)
+ tf.close()
+ # Use the temp file for Cantera loading
+ chemkin_surface_path = tf.name
+
+
job = Cantera()
job.surface = True
- job.load_chemkin_model(chemkin_path, surface_file=chemkin_surface_path, quiet=True)
+ job.load_chemkin_model(chemkin_path, surface_file=chemkin_surface_path, quiet=True, permissive=True)
self.ct_surface_species = job.surface.species()
self.ct_surface_reactions = job.surface.reactions()
-
def test_species_conversion(self):
"""
Test that species objects convert properly
"""
from rmgpy.tools.canteramodel import check_equivalent_cantera_species
-
for i in range(len(self.ctSpecies)):
assert check_equivalent_cantera_species(self.ctSpecies[i], self.rmg_ctSpecies[i])
@@ -139,7 +149,6 @@ def test_reaction_conversion(self):
Test that reaction objects convert properly
"""
from rmgpy.tools.canteramodel import check_equivalent_cantera_reaction
-
for i in range(len(self.ctReactions)):
assert check_equivalent_cantera_reaction(self.ctReactions[i], self.rmg_ctReactions[i])
@@ -148,7 +157,6 @@ def test_surface_species_conversion(self):
Test that surface species objects convert properly
"""
from rmgpy.tools.canteramodel import check_equivalent_cantera_species
-
for i in range(len(self.ct_surface_species)):
#print("Chemkin-to-Cantera:", self.ct_surfaceSpecies[i].input_data)
#print("Chemkin-to-RMG-to-Cantera:", self.rmg_surface_ctSpecies[i].input_data)
@@ -159,8 +167,7 @@ def test_surface_reaction_conversion(self):
Test that surface reaction objects convert properly
"""
from rmgpy.tools.canteramodel import check_equivalent_cantera_reaction
-
for i in range(len(self.ct_surface_reactions)):
#print("Chemkin-to-Cantera:", self.ct_surfaceReactions[i].input_data)
#print("Chemkin-to-RMG-to-Cantera:", self.rmg_surface_ctReactions[i].input_data)
- assert check_equivalent_cantera_reaction(self.ct_surface_reactions[i], self.rmg_surface_ct_reactions[i])
\ No newline at end of file
+ assert check_equivalent_cantera_reaction(self.ct_surface_reactions[i], self.rmg_surface_ct_reactions[i])
diff --git a/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv b/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv
new file mode 100644
index 00000000000..6cd25bd13a1
--- /dev/null
+++ b/test/rmgpy/tools/chemDir/solver/sensitivity_1_SPC_18.csv
@@ -0,0 +1,6 @@
+Time (s),dln[C2H6(18)]/dln[k1]: O(0)+H2O2(3)<=>OH(1)+HO2(2),dln[C2H6(18)]/dln[k2]: CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17),dln[C2H6(18)]/dln[k3]: C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19),dln[C2H6(18)]/dln[k4]: C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15),dln[C2H6(18)]/dln[k5]: CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15),dln[C2H6(18)]/dln[k6]: CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12),dln[C2H6(18)]/dln[k7]: HCCO(10)(+M)<=>O(0)+C2H(8)(+M),dln[C2H6(18)]/dln[k8]: C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22),dln[C2H6(18)]/dln[k9]: C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22),dln[C2H6(18)]/dln[k10]: CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11),dln[C2H6(18)]/dG[C2H6(18)],dln[C2H6(18)]/dG[CH4(16)],dln[C2H6(18)]/dG[CH2(5)],dln[C2H6(18)]/dG[CH(4)],dln[C2H6(18)]/dG[C2H3(20)],dln[C2H6(18)]/dG[CH3(14)],dln[C2H6(18)]/dG[C2H4(11)],dln[C2H6(18)]/dG[C2H5(12)]
+0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
+2.74888478006841E-18,-2.54948202221999E-16,-2.09986641193727E-28,-1.68177517988414E-18,9.47815581205925E-43,-4.74240993812363E-29,1.56391028678446E-54,6.05624693198534E-47,-1.10008312605422E-28,3.64619470520282E-56,-3.31477117062407E-66,-9.93392859924497E-17,-9.89301193768683E-48,6.51000897308177E-19,6.51000897344892E-19,1.83574663375722E-29,-4.06622729584823E-53,3.06108016791651E-49,4.22004499424344E-59
+1E-12,-9.27460693505743E-11,-2.0460917755381E-17,-6.1181805764998E-13,3.40947333001306E-26,-4.62135447625443E-18,1.34821506115326E-32,2.66263273777064E-30,-1.07185782928551E-17,3.14317510387031E-34,-7.91446790404999E-39,-3.61380457995889E-11,-2.37250016862895E-31,2.36827788154325E-13,2.36831365928509E-13,1.78888709197875E-18,-8.03285951906872E-37,7.34152354170913E-33,2.43214792225303E-37
+6.14209255203048E-06,-0.0108552687245762,-0.00977366113631576,0.000596136582961715,0.00200221535342703,-0.00846755042343432,0.00013450902403258,0.000108628449374283,-0.00628567915883179,8.65139619102715E-05,-1.74774283067548E-05,-0.00452281325424481,1.26216421675667E-05,-0.00328956503163016,0.00347689688022537,0.00337489330053554,-8.94698376820376E-06,2.89680320928337E-06,6.86042557778715E-07
+0.000511952119227999,-0.259795045759184,-0.127199037182731,0.201488393268386,0.147536983612322,-0.0820373529691973,0.0227660362837704,0.0633512248907625,-0.692292464491573,0.0214205601994878,-0.0568546779535624,-0.119942334769817,0.0416873316334017,-0.146923796990328,0.184660504897779,0.142566434880232,-0.0247332248569192,0.00807885139388224,0.00380827975950797
diff --git a/test/rmgpy/tools/uncertaintyTest.py b/test/rmgpy/tools/uncertaintyTest.py
index 0005609e8cb..7d797b2c642 100644
--- a/test/rmgpy/tools/uncertaintyTest.py
+++ b/test/rmgpy/tools/uncertaintyTest.py
@@ -28,7 +28,7 @@
###############################################################################
import os
-
+import copy
import numpy as np
@@ -48,8 +48,10 @@ def setup_class(cls):
chemkin_file = os.path.join(chem_dir, "chem_annotated.inp")
spc_dict = os.path.join(chem_dir, "species_dictionary.txt")
- cls.uncertainty = Uncertainty(output_directory="chemDir")
+ cls.uncertainty = Uncertainty(output_directory=os.path.abspath(os.path.join(os.path.dirname(__file__), "chemDir")))
cls.uncertainty.load_model(chemkin_file, spc_dict)
+ for i in range(len(cls.uncertainty.species_list)):
+ cls.uncertainty.species_list[i].index = i # local analysis depends on species being indexed
# load database properly
cls.uncertainty.database = RMGDatabase()
@@ -127,7 +129,7 @@ def test_uncertainty_assignment(self):
"RCCJ",
}
other_expected = {"ketene", "R"}
- assert set(self.uncertainty.all_thermo_sources) == {"GAV", "Library", "QM"}
+ assert set(self.uncertainty.all_thermo_sources) == {"GAV", "Library", "QM", "ADS", "Surface_Library"}
assert set(self.uncertainty.all_thermo_sources["GAV"]) == {"group", "radical", "other"}
grp = set([e.label for e in self.uncertainty.all_thermo_sources["GAV"]["group"]])
rad = set([e.label for e in self.uncertainty.all_thermo_sources["GAV"]["radical"]])
@@ -151,7 +153,7 @@ def test_uncertainty_assignment(self):
'C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O',
'C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad',
}
- assert set(self.uncertainty.all_kinetic_sources) == {"Rate Rules", "Training", "Library", "PDep"}
+ assert set(self.uncertainty.all_kinetic_sources) == {"Rate Rules", "Training", "Library", "PDep", "Surface_Library"}
assert set(self.uncertainty.all_kinetic_sources["Rate Rules"].keys()) == {"Disproportionation", "H_Abstraction"}
rr = set([e.label for e in self.uncertainty.all_kinetic_sources["Rate Rules"]["Disproportionation"]])
assert rr == Disproportionation_rr_expected
@@ -167,13 +169,384 @@ def test_uncertainty_assignment(self):
thermo_unc = self.uncertainty.thermo_input_uncertainties
kinetic_unc = self.uncertainty.kinetic_input_uncertainties
- np.testing.assert_allclose(
- thermo_unc,
- [1.5, 1.5, 2.0, 1.9, 3.1, 1.5, 1.9, 2.0, 2.0, 1.9, 2.2, 1.9, 2.0, 1.5, 3.1, 1.9, 1.5, 2.0, 1.7, 1.8, 1.8, 1.9, 1.8, 1.9, 1.9],
- rtol=1e-4,
- )
- np.testing.assert_allclose(
- kinetic_unc,
- [0.5, 1.5, 3.169924, 3.169924, 2.553605, 0.5, 2.0, 2.553605, 2.553605, 0.5],
- rtol=1e-4
+ expected_uncorrelated_thermo_uncertainties = np.array([1.5, 1.5, 2.61966, 2.51994, 2.23886, 1.5, 2.30761, 2.41611, 2.61966, 2.51994, 2.61966, 2.51994, 2.61966, 1.5, 2.23886, 2.30761, 1.5, 2.61966, 2.07366, 2.19376, 2.19376, 2.30761, 1.94616, 2.07366, 2.07366])
+ expected_uncorrelated_kinetic_uncertainties = np.array([0.5, 1.118, 1.9783, 1.9783, 1.5363, 0.5, 2.0, 1.5363, 1.5363, 0.5])
+ np.testing.assert_allclose(thermo_unc, expected_uncorrelated_thermo_uncertainties, rtol=1e-4)
+ np.testing.assert_allclose(kinetic_unc, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4)
+
+ # ---------------------------- Now repeat for assign_intermediate_uncertainties -----------------------------
+ # uncorrelated
+ self.uncertainty.assign_intermediate_uncertainties(correlated=False)
+ intermediate_thermo_unc = self.uncertainty.thermo_intermediate_uncertainties
+ intermediate_kinetic_unc = self.uncertainty.kinetic_intermediate_uncertainties
+ np.testing.assert_allclose(intermediate_thermo_unc, expected_uncorrelated_thermo_uncertainties, rtol=1e-4)
+ np.testing.assert_allclose(intermediate_kinetic_unc, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4)
+
+ # correlated
+ self.uncertainty.assign_intermediate_uncertainties(correlated=True)
+
+ # do a spot check on some of the intermediates (dG/dq) these are derivatives, not uncertainties
+ # Thermo library example
+ assert self.uncertainty.thermo_intermediate_uncertainties[0].keys() == {'Library O(0)'}
+ assert self.uncertainty.thermo_intermediate_uncertainties[0]['Library O(0)'] == 1
+
+ # Thermo GAV example
+ assert tuple(sorted(self.uncertainty.thermo_intermediate_uncertainties[2].keys())) == ('Estimation HO2(2)', 'Group(group) O2s-OsH', 'Group(other) R', 'Group(radical) HOOJ')
+ assert self.uncertainty.thermo_intermediate_uncertainties[2]['Estimation HO2(2)'] == 1
+ assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(group) O2s-OsH'] == 2
+ assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(other) R'] == 2
+ assert self.uncertainty.thermo_intermediate_uncertainties[2]['Group(radical) HOOJ'] == 1
+
+ # Thermo library + GAV
+ assert tuple(sorted(self.uncertainty.thermo_intermediate_uncertainties[14].keys())) == ('Estimation CH3(14)', 'Group(radical) CH3', 'Library CH4(16)')
+ assert self.uncertainty.thermo_intermediate_uncertainties[14]['Estimation CH3(14)'] == 1
+ assert self.uncertainty.thermo_intermediate_uncertainties[14]['Group(radical) CH3'] == 1
+ assert self.uncertainty.thermo_intermediate_uncertainties[14]['Library CH4(16)'] == 1
+
+ # Kinetics library
+ assert self.uncertainty.kinetic_intermediate_uncertainties[0].keys() == {'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)'}
+
+ # Rate rule (exact)
+ assert tuple(sorted(self.uncertainty.kinetic_intermediate_uncertainties[1].keys())) == ('Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)', 'Rate Rule H_Abstraction C/H3/Cs;C_methyl')
+ assert self.uncertainty.kinetic_intermediate_uncertainties[1]['Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)'] == 1
+ assert self.uncertainty.kinetic_intermediate_uncertainties[1]['Rate Rule H_Abstraction C/H3/Cs;C_methyl'] == 1
+
+ # Rate rule (non-exact, multiple rule weights)
+ assert tuple(sorted(self.uncertainty.kinetic_intermediate_uncertainties[3].keys())) == (
+ 'Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)',
+ 'Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad',
)
+ assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)'] == 1
+ assert np.isclose(self.uncertainty.kinetic_intermediate_uncertainties[3]['Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)'], 0.4771212547, rtol=1e-4)
+ assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs'] == 0.5
+ assert self.uncertainty.kinetic_intermediate_uncertainties[3]['Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad'] == 0.5
+
+ # Training reaction
+ assert self.uncertainty.kinetic_intermediate_uncertainties[5].keys() == {'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)'}
+ assert self.uncertainty.kinetic_intermediate_uncertainties[5]['Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)'] == 1
+
+ # PDEP
+ assert self.uncertainty.kinetic_intermediate_uncertainties[6].keys() == {'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)'}
+ assert self.uncertainty.kinetic_intermediate_uncertainties[6]['PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)'] == 1
+
+ # correlated uncertainties should match uncorrelated, so check diagonal of covariance matrix
+ thermo_covariance = np.sqrt(self.uncertainty.get_thermo_covariance_matrix().diagonal())
+ kinetic_covariance = np.sqrt(self.uncertainty.get_kinetic_covariance_matrix().diagonal())
+ assert np.isclose(thermo_covariance, expected_uncorrelated_thermo_uncertainties, rtol=1e-4).all()
+ assert np.isclose(kinetic_covariance, expected_uncorrelated_kinetic_uncertainties, rtol=1e-4).all()
+
+ def test_source_correlations(self):
+ # Check some examples of different species containing the same sources
+
+ # ------------------------------------------------------------------------------
+ # Make sure CH3 (Library + Radical) has a library index/value in common with CH4
+ i_CH4 = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='C'), self.uncertainty.species_list)
+ assert i_CH4 >= 0
+
+ i_CH3 = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='[CH3]'), self.uncertainty.species_list)
+ assert i_CH3 >= 0
+
+ self.uncertainty.extract_sources_from_model()
+ self.uncertainty.assign_parameter_uncertainties(correlated=True)
+
+ src1 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH4]] # CH4
+ src2 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH3]] # CH3
+
+ assert 'Library' in src1
+ assert 'Library' in src2
+ assert 'GAV' in src2
+ assert src1['Library'] == src2['Library'] # make sure they refer to the same library source
+
+ # -----------------------------------------------------------------------------
+ # Make sure CH3X (Library + GAV + Adsorption Correction) has a library index/value in common with CH4 (Library)
+ i_CH3X = rmgpy.tools.uncertainty.get_i_thing(rmgpy.species.Species(smiles='C*'), self.uncertainty.species_list)
+ assert i_CH3X == -1
+ # This is not in the model, so add it to the species list
+ CH3X = rmgpy.species.Species(smiles='C*')
+ CH3X.thermo = self.uncertainty.database.thermo.get_thermo_data(CH3X)
+ self.uncertainty.species_list.append(CH3X)
+ try:
+ i_CH3X = rmgpy.tools.uncertainty.get_i_thing(CH3X, self.uncertainty.species_list)
+ assert i_CH3X >= 0
+
+ self.uncertainty.extract_sources_from_model()
+ self.uncertainty.assign_parameter_uncertainties(correlated=True)
+
+ src1 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH4]] # CH4
+ src2 = self.uncertainty.species_sources_dict[self.uncertainty.species_list[i_CH3X]] # CH3X
+
+ assert 'Library' in src1
+ assert 'Library' in src2
+ assert 'ADS' in src2
+ assert 'GAV' in src2
+ assert src1['Library'] == src2['Library'] # make sure they refer to the same library source
+ finally:
+ self.uncertainty.species_list.pop() # remove the extra species so it doesn't affect other tests
+
+ def test_local_analysis(self):
+ """
+ Test to run uncorrelated and then correlated local_analysis and make sure the results are expected
+ """
+ # variances are listed in decreasing order
+ # names are listed in order of decreasing variance contribution
+ expected_uncorrelated_total_variance = 1.8329056941266446
+ expected_uncorrelated_thermo_variances = np.array([0.17092419, 0.09781627, 0.06186124, 0.04856985, 0.00391013, 0.00306632, 0.00041446, 9.953e-05])
+ expected_uncorrelated_kinetics_variances = np.array([1.1311145, 0.15888459, 0.085189, 0.02022449, 0.01687337, 0.01605351, 0.01588366, 0.0010829, 0.00080811, 0.00012957])
+ expected_correlated_total_variance = 1.7732795017083922
+ expected_correlated_thermo_variances = np.array([0.09145902, 0.07672388, 0.04856985, 0.04573167, 0.03236887, 0.01747643, 0.01098087, 0.00143231, 0.0013764, 0.00031352, 0.00028968, 0.00014685, 0.0001338, 3.263e-05])
+ expected_correlated_kinetics_variances = np.array([0.53202843, 0.47926886, 0.11981721, 0.11321232, 0.06070094, 0.04059757, 0.02176716, 0.01687337, 0.0161796, 0.01605351, 0.007471, 0.00673013, 0.0040449, 0.00253735, 0.00253735, 0.00168253, 0.00136045, 0.00136045, 0.00080811, 0.00050935, 0.00045884, 0.00012957, 0.00011471])
+ expected_uncorrelated_thermo_labels = [
+ 'dln[C2H6(18)]/dG[CH(4)]',
+ 'dln[C2H6(18)]/dG[C2H3(20)]',
+ 'dln[C2H6(18)]/dG[C2H6(18)]',
+ 'dln[C2H6(18)]/dG[CH2(5)]',
+ 'dln[C2H6(18)]/dG[CH4(16)]',
+ 'dln[C2H6(18)]/dG[CH3(14)]',
+ 'dln[C2H6(18)]/dG[C2H4(11)]',
+ 'dln[C2H6(18)]/dG[C2H5(12)]',
+ ]
+ expected_uncorrelated_kinetics_labels = [
+ 'k8: C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)',
+ 'k3: C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)',
+ 'k4: C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)',
+ 'k2: CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)',
+ 'k1: O(0)+H2O2(3)<=>OH(1)+HO2(2)',
+ 'k7: HCCO(10)(+M)<=>O(0)+C2H(8)(+M)',
+ 'k5: CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)',
+ 'k9: C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)',
+ 'k10: CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)',
+ 'k6: CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)',
+ ]
+ expected_correlated_thermo_labels = [
+ 'Library CH4(16)',
+ 'Estimation CH(4)',
+ 'Library CH2(5)',
+ 'Estimation C2H3(20)',
+ 'Estimation C2H6(18)',
+ 'Group(radical) CJ3',
+ 'Group(radical) CCJ',
+ 'Group(group) Cs-CsHHH',
+ 'Estimation CH3(14)',
+ 'Group(radical) CH3',
+ 'Group(other) R',
+ 'Estimation C2H4(11)',
+ 'Group(group) Cds-CdsHH',
+ 'Estimation C2H5(12)',
+ ]
+ expected_correlated_kinetics_labels = [
+ 'Estimation Nonexact C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)',
+ 'Estimation Family C2H5(12)+CH3CHCH3(21)<=>C2H6(18)+C3H6(22)',
+ 'Rate Rule Disproportionation Root_Ext-2R!H-R_2R!H->C_4R->C',
+ 'Estimation Nonexact C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)',
+ 'Estimation Nonexact C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)',
+ 'Estimation Family C2H6(18)+PC3H7(15)<=>C2H5(12)+C3H8(19)',
+ 'Estimation Family C2H3(20)+C3H8(19)<=>C2H4(11)+PC3H7(15)',
+ 'Library O(0)+H2O2(3)<=>OH(1)+HO2(2)',
+ 'Estimation Family CH3(14)+PC3H7(15)<=>CH4(16)+CH2CH2CH2(17)',
+ 'PDep HCCO(10)(+M)<=>O(0)+C2H(8)(+M)',
+ 'Estimation Nonexact CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)',
+ 'Estimation Family CH3(14)+C3H8(19)<=>CH4(16)+PC3H7(15)',
+ 'Rate Rule H_Abstraction C/H3/Cs;C_methyl',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H\\Cs\\Cs|O',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H3;C_rad/H2/Cs\\H3',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H2\\O;C_methyl',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H3;Cd_Cd\\H2_pri_rad',
+ 'Rate Rule H_Abstraction C/H3/Cs\\H2\\Cs|O;Cd_Cd\\H2_rad/Cs',
+ 'Training Disproportionation CH3(14)+C2H5(12)<=>CH4(16)+C2H4(11)',
+ 'Estimation Nonexact C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)',
+ 'Estimation Family C3H5(24)+CH2CH2CH2(17)<=>C3H5(23)+C3H6(22)',
+ 'Training H_Abstraction CH3(14)+C2H6(18)<=>CH4(16)+C2H5(12)',
+ 'Rate Rule Disproportionation Root_Ext-1R!H-R_N-4R->O_N-Sp-5R!H=1R!H_Ext-4CHNS-R_N-6R!H->S_4CHNS->C_N-Sp-6BrBrBrCCCClClClFFFIIINNNOOOPPPSiSiSi#4C_6BrCClFINOPSi->C_N-1R!H-inRing_N-Sp-6C-4C',
+ ]
+
+ sensitive_species = [self.uncertainty.species_list[18]]
+
+ # uncorrelated analysis first
+ self.uncertainty.assign_parameter_uncertainties()
+ output = self.uncertainty.local_analysis(sensitive_species=sensitive_species)
+ total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]]
+ assert np.isclose(total_variance, expected_uncorrelated_total_variance)
+
+ # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution
+ kinetic_variances = [r[2] for r in kinetic_uncertainty]
+ kinetics_names = [r[0] for r in kinetic_uncertainty]
+ sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1]
+ sorted_kinetic_variances = sorted(kinetic_variances, reverse=True)
+ assert np.isclose(sorted_kinetic_variances, expected_uncorrelated_kinetics_variances).all()
+ assert sorted_kinetics_names == expected_uncorrelated_kinetics_labels
+
+ thermo_variances = [s[2] for s in thermo_uncertainty]
+ thermo_names = [s[0] for s in thermo_uncertainty]
+ sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1]
+ sorted_thermo_variances = sorted(thermo_variances, reverse=True)
+ assert np.isclose(sorted_thermo_variances, expected_uncorrelated_thermo_variances).all()
+ assert sorted_thermo_names == expected_uncorrelated_thermo_labels
+
+ # now repeat for correlated analysis
+ self.uncertainty.assign_parameter_uncertainties(correlated=True)
+ output = self.uncertainty.local_analysis(sensitive_species=sensitive_species, correlated=True)
+ total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]]
+ assert np.isclose(total_variance, expected_correlated_total_variance)
+
+ # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution
+ kinetic_variances = [r[2] for r in kinetic_uncertainty]
+ kinetics_names = [r[0] for r in kinetic_uncertainty]
+ sorted_kinetic_variances = sorted(kinetic_variances, reverse=True)
+ sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1]
+ assert np.isclose(sorted_kinetic_variances, expected_correlated_kinetics_variances).all()
+ assert sorted_kinetics_names == expected_correlated_kinetics_labels
+
+ thermo_variances = [s[2] for s in thermo_uncertainty]
+ thermo_names = [s[0] for s in thermo_uncertainty]
+ sorted_thermo_variances = sorted(thermo_variances, reverse=True)
+ sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1]
+ assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all()
+ assert sorted_thermo_names == expected_correlated_thermo_labels
+
+ # -------------------- repeat the exact same test for new formulation --------------------------
+ # uncorrelated analysis first
+ self.uncertainty.assign_intermediate_uncertainties()
+ output = self.uncertainty.local_analysis_intermediate(sensitive_species=sensitive_species)
+ total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]]
+ assert np.isclose(total_variance, expected_uncorrelated_total_variance)
+
+ # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution
+ kinetic_variances = [r[2] for r in kinetic_uncertainty]
+ kinetics_names = [r[0] for r in kinetic_uncertainty]
+ sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1]
+ sorted_kinetic_variances = sorted(kinetic_variances, reverse=True)
+ assert np.isclose(sorted_kinetic_variances, expected_uncorrelated_kinetics_variances).all()
+ assert sorted_kinetics_names == expected_uncorrelated_kinetics_labels
+
+ thermo_variances = [s[2] for s in thermo_uncertainty]
+ thermo_names = [s[0] for s in thermo_uncertainty]
+ sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1]
+ sorted_thermo_variances = sorted(thermo_variances, reverse=True)
+ assert np.isclose(sorted_thermo_variances, expected_uncorrelated_thermo_variances).all()
+ assert sorted_thermo_names == expected_uncorrelated_thermo_labels
+
+ # now repeat for correlated analysis
+ self.uncertainty.assign_intermediate_uncertainties(correlated=True)
+ output = self.uncertainty.local_analysis_intermediate(sensitive_species=sensitive_species, correlated=True)
+ total_variance, kinetic_uncertainty, thermo_uncertainty = output[sensitive_species[0]]
+ assert np.isclose(total_variance, expected_correlated_total_variance)
+
+ # order of kinetic or thermo uncertainty is not guaranteed, this sorts by contribution
+ kinetic_variances = [r[2] for r in kinetic_uncertainty]
+ kinetics_names = [r[0] for r in kinetic_uncertainty]
+ sorted_kinetic_variances = sorted(kinetic_variances, reverse=True)
+ sorted_kinetics_names = [x for _, x in sorted(zip(kinetic_variances, kinetics_names))][::-1]
+ assert np.isclose(sorted_kinetic_variances, expected_correlated_kinetics_variances).all()
+ assert sorted_kinetics_names == expected_correlated_kinetics_labels
+
+ thermo_variances = [s[2] for s in thermo_uncertainty]
+ thermo_names = [s[0] for s in thermo_uncertainty]
+ sorted_thermo_variances = sorted(thermo_variances, reverse=True)
+ sorted_thermo_names = [x for _, x in sorted(zip(thermo_variances, thermo_names))][::-1]
+ assert np.isclose(sorted_thermo_variances, expected_correlated_thermo_variances).all()
+ assert sorted_thermo_names == expected_correlated_thermo_labels
+
+ def test_covariance_matrices(self):
+ """
+ Test that the covariance matrices are being constructed correctly, and that the correlated uncertainties are different from the uncorrelated ones
+ """
+
+ # have to add an extra reaction to see any kinetic correlations
+ # copy reaction 4 and change the index so it is a new reaction, but with the same source (rate rule) as the original reaction
+ extra_reaction = copy.deepcopy(self.uncertainty.reaction_list[4])
+ self.uncertainty.reaction_list.append(extra_reaction)
+ try: # this will still error out if there's a problem, but will reset the reaction list so it doesn't affect other tests
+ self.uncertainty.extract_sources_from_model() # this will assign the same source to the new reaction as the original reaction
+
+ self.uncertainty.assign_parameter_uncertainties(correlated=False)
+ uncorrelated_thermo_inputs = np.array(self.uncertainty.thermo_input_uncertainties)
+ uncorrelated_kinetic_inputs = np.array(self.uncertainty.kinetic_input_uncertainties)
+
+ self.uncertainty.assign_intermediate_uncertainties(correlated=False)
+ uncorrelated_thermo_covariance = self.uncertainty.get_thermo_covariance_matrix()
+ uncorrelated_kinetic_covariance = self.uncertainty.get_kinetic_covariance_matrix()
+
+ self.uncertainty.assign_intermediate_uncertainties(correlated=True)
+ correlated_thermo_covariance = self.uncertainty.get_thermo_covariance_matrix()
+ correlated_kinetic_covariance = self.uncertainty.get_kinetic_covariance_matrix()
+ Sigma_ww_thermo = self.uncertainty._get_intermediate_thermo_covariance_matrix()
+ Sigma_ww_kinetics = self.uncertainty._get_intermediate_kinetics_covariance_matrix()
+ finally:
+ self.uncertainty.reaction_list.pop() # remove the extra reaction so it doesn't affect other tests
+
+ # check that the diagonal elements of the correlated and uncorrelated covariance matrices are the same and equal to the squares of the input uncertainties
+ np.testing.assert_allclose(np.diag(uncorrelated_thermo_covariance), np.float_power(uncorrelated_thermo_inputs, 2.0), rtol=1e-4)
+ np.testing.assert_allclose(np.diag(correlated_thermo_covariance), np.float_power(uncorrelated_thermo_inputs, 2.0), rtol=1e-4)
+ np.testing.assert_allclose(np.diag(uncorrelated_kinetic_covariance), np.float_power(uncorrelated_kinetic_inputs, 2.0), rtol=1e-4)
+ np.testing.assert_allclose(np.diag(correlated_kinetic_covariance), np.float_power(uncorrelated_kinetic_inputs, 2.0), rtol=1e-4)
+
+ # check that the off-diagonal elements of the uncorrelated covariance matrix are zero
+ off_diagonal_kinetic_uncorrelated = uncorrelated_kinetic_covariance - np.diag(np.diag(uncorrelated_kinetic_covariance))
+ assert np.allclose(off_diagonal_kinetic_uncorrelated, 0, atol=1e-8)
+ off_diagonal_thermo_uncorrelated = uncorrelated_thermo_covariance - np.diag(np.diag(uncorrelated_thermo_covariance))
+ assert np.allclose(off_diagonal_thermo_uncorrelated, 0, atol=1e-8)
+
+ # check that the off-diagonal elements of the correlated covariance matrix are not all zero
+ off_diagonal_kinetic_correlated = correlated_kinetic_covariance - np.diag(np.diag(correlated_kinetic_covariance))
+ assert not np.allclose(off_diagonal_kinetic_correlated, 0, atol=1e-8)
+ off_diagonal_thermo_correlated = correlated_thermo_covariance - np.diag(np.diag(correlated_thermo_covariance))
+ assert not np.allclose(off_diagonal_thermo_correlated, 0, atol=1e-8)
+
+ # check that the correlated covariance matrices are symmetric
+ assert np.allclose(correlated_kinetic_covariance, correlated_kinetic_covariance.T, atol=1e-8)
+ assert np.allclose(correlated_thermo_covariance, correlated_thermo_covariance.T, atol=1e-8)
+ assert np.allclose(Sigma_ww_kinetics, Sigma_ww_kinetics.T, atol=1e-8)
+ assert np.allclose(Sigma_ww_thermo, Sigma_ww_thermo.T, atol=1e-8)
+
+ # check that the matrix is positive semi-definite by confirming that all eigenvalues are non-negative
+ kinetic_eigenvalues = np.linalg.eigvals(correlated_kinetic_covariance)
+ assert np.all(kinetic_eigenvalues >= -1e-8) # allow for small numerical errors
+ thermo_eigenvalues = np.linalg.eigvals(correlated_thermo_covariance)
+ assert np.all(thermo_eigenvalues >= -1e-8) # allow for small numerical errors
+ intermediate_kinetic_eigenvalues = np.linalg.eigvals(Sigma_ww_kinetics)
+ assert np.all(intermediate_kinetic_eigenvalues >= -1e-8)
+ intermediate_thermo_eigenvalues = np.linalg.eigvals(Sigma_ww_thermo)
+ assert np.all(intermediate_thermo_eigenvalues >= -1e-8)
+
+ def test_specific_species_uncertainties(self):
+ """
+ Test uncertainties for a few specific examples
+ """
+
+ expected_results = { # order is (total_uncertainty, [group_names], [group_counts])
+ 'CCCC': (2.5199409675625337, ['Cs-CsCsHH', 'Cs-CsHHH'], [2, 2]),
+ 'CCCCCCCCCC': (6.091048438487417, ['Cs-CsCsHH', 'Cs-CsHHH'], [8, 2]),
+ 'CC(OO)CC': (2.5199409675625337, ['O2s-OsCs', 'O2s-OsH', 'Cs-CsCsOsH', 'Cs-CsCsHH', 'Cs-CsHHH'], [1, 1, 1, 1, 2]),
+ 'C=NCC': (2.07365649035707, ['N3d-CdCs', 'Cs-(N3dCd)CsHH', 'Cs-CsHHH', 'Cd-N3dHH'], [1, 1, 1, 1]),
+ 'C=C': (2.07365649035707, ['Cds-CdsHH'], [2]),
+ 'C*': (7.271261019245562, ['CH3'], [1]), # Gas library + radical + adsorption correction
+ 'O=[CH]*': (7.150786643440007, ['Cds-OdHH', 'HCdsJO'], [1, 1]), # GAV + radical + adsorption correction
+ }
+
+ uncertainty = rmgpy.tools.uncertainty.Uncertainty()
+ uncertainty.database = self.uncertainty.database # use the same database as the main test
+ new_species_list = [rmgpy.species.Species(smiles=spc) for spc in expected_results.keys()]
+ for spc in new_species_list:
+ spc.thermo = self.uncertainty.database.thermo.get_thermo_data(spc)
+ if not isinstance(spc.thermo, rmgpy.thermo.NASA):
+ spc.thermo = spc.thermo.to_nasa(Tmin=298, Tmax=3000, Tint=1000)
+ uncertainty.species_list = new_species_list
+ uncertainty.reaction_list = [] # no need to test kinetics here
+
+ uncertainty.extract_sources_from_model() # this will populate the sources dict with the new species
+ uncertainty.assign_parameter_uncertainties() # this will assign the uncertainties based on the sources and the database
+
+ for i, sp in enumerate(uncertainty.species_list):
+ source = uncertainty.species_sources_dict[sp]
+
+ actual_group_data = []
+ for group_type, group_entries in source['GAV'].items():
+ for group, count in group_entries:
+ actual_group_data.append((group.label, count))
+ expected_result = expected_results[sp.smiles]
+ expected_group_data = sorted(zip(expected_result[1], expected_result[2]))
+ actual_group_data = sorted(actual_group_data)
+ assert np.isclose(uncertainty.thermo_input_uncertainties[i], expected_result[0], rtol=1e-4)
+ assert actual_group_data == expected_group_data
diff --git a/test/rmgpy/transportDataTest.py b/test/rmgpy/transportDataTest.py
index 59dee0a5421..575d41e0f9b 100644
--- a/test/rmgpy/transportDataTest.py
+++ b/test/rmgpy/transportDataTest.py
@@ -161,15 +161,19 @@ def test_to_cantera(self):
rmg_ct_transport = transport.to_cantera()
import cantera as ct
- ct_species = ct.Species.fromCti(
- """species(name=u'Ar',
- atoms='Ar:1',
- transport=gas_transport(geom='atom',
- diam=3.33,
- well_depth=136.501,
- dipole=2.0,
- polar=1.0,
- rot_relax=15.0))"""
+ ct_species = ct.Species.from_yaml(
+ """
+ name: Ar
+ composition: {Ar: 1}
+ transport:
+ model: gas
+ geometry: atom
+ diameter: 3.33
+ well-depth: 136.501
+ dipole: 2.0
+ polarizability: 1.0
+ rotational-relaxation: 15.0
+ """
)
ct_transport = ct_species.transport
diff --git a/test/rmgpy/yaml_cantera1Test.py b/test/rmgpy/yaml_cantera1Test.py
new file mode 100644
index 00000000000..f5c6e761f85
--- /dev/null
+++ b/test/rmgpy/yaml_cantera1Test.py
@@ -0,0 +1,603 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2026 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+"""
+Tests for rmgpy.yaml_cantera1 module.
+"""
+
+import os
+import pytest
+import numpy as np
+
+from cantera_yaml_comparer import CanteraYamlFileComparer
+from rmgpy.species import Species
+from rmgpy.reaction import Reaction
+from rmgpy.thermo import NASA, NASAPolynomial
+from rmgpy.transport import TransportData
+from rmgpy.kinetics import (
+ Arrhenius,
+ Lindemann,
+ PDepArrhenius,
+ Troe,
+ ThirdBody,
+)
+from rmgpy.kinetics.surface import SurfaceArrhenius, StickingCoefficient
+from rmgpy.yaml_cantera1 import (
+ CanteraWriter1,
+ species_to_dict,
+ reaction_to_dicts,
+ get_elements_block,
+ get_phases_gas_only,
+ get_phases_with_surface,
+ get_mech_dict_nonsurface,
+ get_mech_dict_surface,
+)
+
+
+def _make_nasa_thermo():
+ coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0]
+ return NASA(
+ polynomials=[
+ NASAPolynomial(coeffs=coeffs, Tmin=(200, "K"), Tmax=(1000, "K")),
+ NASAPolynomial(coeffs=coeffs, Tmin=(1000, "K"), Tmax=(6000, "K")),
+ ],
+ Tmin=(200, "K"),
+ Tmax=(6000, "K"),
+ )
+
+
+def _make_gas_species(label, smiles, index):
+ sp = Species(label=label, index=index)
+ sp.from_smiles(smiles)
+ sp.thermo = _make_nasa_thermo()
+ sp.transport_data = TransportData(
+ shapeIndex=1,
+ sigma=(3.0, "angstrom"),
+ epsilon=(100.0, "K"),
+ dipoleMoment=(0.0, "De"),
+ polarizability=(0.0, "angstrom^3"),
+ rotrelaxcollnum=1.0,
+ )
+ return sp
+
+
+def _make_surface_species(label, adjlist, index):
+ sp = Species(label=label, index=index)
+ sp.from_adjacency_list(adjlist)
+ sp.thermo = _make_nasa_thermo()
+ return sp
+
+
+class TestYamlCantera1Functions:
+ """Unit tests for the individual helper functions in yaml_cantera1."""
+
+ # ------------------------------------------------------------------
+ # Shared fixtures
+ # ------------------------------------------------------------------
+ @pytest.fixture(autouse=True)
+ def _build_species(self):
+ self.h2 = _make_gas_species("H2", "[H][H]", index=1)
+ self.h = _make_gas_species("H", "[H]", index=2)
+ self.ar = _make_gas_species("Ar", "[Ar]", index=3)
+ self.x = _make_surface_species("X", "1 X u0 p0", index=4)
+ self.hx = _make_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=5
+ )
+ self.all_gas = [self.h2, self.h, self.ar]
+ self.all_surface = [self.x, self.hx, self.h2]
+
+ # ------------------------------------------------------------------
+ # species_to_dict
+ # ------------------------------------------------------------------
+ def test_species_to_dict_gas_name_and_thermo(self):
+ """Gas species: correct name, NASA7 thermo with two polynomial ranges."""
+ d = species_to_dict(self.h2)
+ assert d["name"] == "H2(1)"
+ assert d["composition"] == {"H": 2.0}
+ assert d["thermo"]["model"] == "NASA7"
+ assert len(d["thermo"]["temperature-ranges"]) == 3 # low, mid, high
+ assert len(d["thermo"]["data"]) == 2
+
+ def test_species_to_dict_gas_transport(self):
+ """Gas species transport data is present and contains geometry."""
+ d = species_to_dict(self.h2)
+ assert "transport" in d
+ assert d["transport"]["model"] == "gas"
+ assert d["transport"]["geometry"] == "linear"
+ assert np.isclose(d["transport"]["diameter"], 3.0)
+ assert np.isclose(d["transport"]["well-depth"], 100.0)
+
+ def test_species_to_dict_charged_species_uses_electron_pseudo_element(self):
+ """Charged species composition uses Cantera's E pseudo-element."""
+ lithium_ion = Species(label="Li+", index=10)
+ lithium_ion.from_adjacency_list("1 Li u0 p0 c+1")
+ lithium_ion.thermo = _make_nasa_thermo()
+
+ d = species_to_dict(lithium_ion)
+
+ assert d["composition"] == {"E": -1.0, "Li": 1.0}
+
+ def test_species_to_dict_electron_uses_electron_pseudo_element(self):
+ """The electron species exports composition as E, not internal e."""
+ electron = Species(label="e", index=11)
+ electron.from_adjacency_list("1 e u1 p0 c-1")
+ electron.thermo = _make_nasa_thermo()
+
+ d = species_to_dict(electron)
+
+ assert d["composition"] == {"E": 1.0}
+
+ def test_species_to_dict_surface_composition(self):
+ """Surface species has X in composition and no transport block."""
+ d = species_to_dict(self.hx)
+ assert "X" in d["composition"]
+ assert d["composition"]["X"] == 1.0
+ assert "H" in d["composition"]
+ assert "transport" not in d
+
+ def test_species_to_dict_surface_thermo_model(self):
+ """Surface species reports NASA7 thermo."""
+ d = species_to_dict(self.x)
+ assert d["thermo"]["model"] == "NASA7"
+
+ # ------------------------------------------------------------------
+ # reaction_to_dicts — gas-phase kinetics
+ # Units declared in yaml_cantera1: activation-energy: J/kmol,
+ # so all Ea values come through multiplied by 1000 relative to J/mol.
+ # ------------------------------------------------------------------
+ def test_reaction_to_dicts_arrhenius_equation_and_rate(self):
+ """Arrhenius: equation string and rate-constant keys present with J/kmol Ea."""
+ kin = Arrhenius(A=(1e13, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin)
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ assert len(entries) == 1
+ d = entries[0]
+ assert d["equation"] == "H2(1) <=> H(2) + H(2)"
+ assert "rate-constant" in d
+ assert np.isclose(d["rate-constant"]["A"], 1e13)
+ assert np.isclose(d["rate-constant"]["b"], 0.5)
+ assert np.isclose(d["rate-constant"]["Ea"], 10e6) # 10 kJ/mol → 1e7 J/kmol
+
+ def test_reaction_to_dicts_negative_a_arrhenius(self):
+ """Negative Arrhenius A factors are marked for Cantera."""
+ kin = Arrhenius(A=(-1e13, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin)
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ assert entries[0]["negative-A"] is True
+
+ def test_reaction_to_dicts_thirdbody(self):
+ """ThirdBody: type is three-body, equation uses M, efficiencies map present."""
+ kin = ThirdBody(
+ arrheniusLow=Arrhenius(
+ A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K")
+ ),
+ efficiencies={self.ar.molecule[0]: 0.7},
+ )
+ rxn = Reaction(
+ reactants=[self.h, self.h], products=[self.h2], kinetics=kin
+ )
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ d = entries[0]
+ assert d["type"] == "three-body"
+ assert "M" in d["equation"]
+ assert "rate-constant" in d
+ assert "efficiencies" in d
+ assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7)
+
+ def test_reaction_to_dicts_pdep_arrhenius(self):
+ """PDepArrhenius: type is pressure-dependent-Arrhenius, rate-constants list."""
+ kin = PDepArrhenius(
+ pressures=([0.1, 1.0], "atm"),
+ arrhenius=[
+ Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")),
+ Arrhenius(A=(1e12, "s^-1"), n=0, Ea=(15, "kJ/mol"), T0=(1, "K")),
+ ],
+ )
+ rxn = Reaction(reactants=[self.h2], products=[self.h, self.h], kinetics=kin)
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ d = entries[0]
+ assert d["type"] == "pressure-dependent-Arrhenius"
+ rates = d["rate-constants"]
+ assert len(rates) == 2
+ assert np.isclose(rates[0]["P"], 0.1 * 101325.0)
+ assert np.isclose(rates[0]["A"], 1e10)
+ assert np.isclose(rates[0]["Ea"], 10e6) # J/kmol
+ assert np.isclose(rates[1]["P"], 1.0 * 101325.0)
+ assert np.isclose(rates[1]["A"], 1e12)
+ assert np.isclose(rates[1]["Ea"], 15e6) # J/kmol
+
+ def test_reaction_to_dicts_troe(self):
+ """Troe: type falloff, Troe block present, high/low rate constants."""
+ kin = Troe(
+ arrheniusHigh=Arrhenius(
+ A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")
+ ),
+ arrheniusLow=Arrhenius(
+ A=(1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")
+ ),
+ alpha=0.5,
+ T3=(100, "K"),
+ T1=(200, "K"),
+ T2=(300, "K"),
+ efficiencies={self.ar.molecule[0]: 2.0},
+ )
+ rxn = Reaction(reactants=[self.h], products=[self.h], kinetics=kin)
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ d = entries[0]
+ assert d["type"] == "falloff"
+ assert "Troe" in d
+ assert np.isclose(d["Troe"]["A"], 0.5)
+ assert np.isclose(d["Troe"]["T3"], 100.0)
+ assert np.isclose(d["Troe"]["T1"], 200.0)
+ assert np.isclose(d["Troe"]["T2"], 300.0)
+ assert np.isclose(d["high-P-rate-constant"]["A"], 1e14)
+ assert np.isclose(d["high-P-rate-constant"]["Ea"], 10e6) # J/kmol
+ assert "efficiencies" in d
+ assert np.isclose(d["efficiencies"]["Ar(3)"], 2.0)
+
+ def test_reaction_to_dicts_negative_a_falloff(self):
+ """Falloff rates with negative high- and low-pressure A factors are marked for Cantera."""
+ kin = Lindemann(
+ arrheniusHigh=Arrhenius(
+ A=(-1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")
+ ),
+ arrheniusLow=Arrhenius(
+ A=(-1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K")
+ ),
+ efficiencies={self.ar.molecule[0]: 2.0},
+ )
+ rxn = Reaction(reactants=[self.h], products=[self.h], kinetics=kin)
+ entries = reaction_to_dicts(rxn, self.all_gas)
+ d = entries[0]
+ assert d["negative-A"] is True
+ assert d["low-P-rate-constant"]["A"] < 0
+ assert np.isclose(d["efficiencies"]["Ar(3)"], 2.0)
+
+ # ------------------------------------------------------------------
+ # reaction_to_dicts — surface kinetics
+ # ------------------------------------------------------------------
+ def test_reaction_to_dicts_surface_arrhenius(self):
+ """SurfaceArrhenius: rate-constant present, A converted to /kmol."""
+ kin = SurfaceArrhenius(
+ A=(1e13, "m^2/(mol*s)"), n=0.5, Ea=(50, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[self.h2, self.x],
+ products=[self.hx, self.hx],
+ kinetics=kin,
+ )
+ entries = reaction_to_dicts(rxn, self.all_surface)
+ d = entries[0]
+ assert "rate-constant" in d
+ # A in m^2/(mol*s) → ×1000 → m^2/(kmol*s)
+ assert np.isclose(d["rate-constant"]["A"], 1e16)
+ assert np.isclose(d["rate-constant"]["b"], 0.5)
+ assert np.isclose(d["rate-constant"]["Ea"], 50e6) # J/kmol
+
+ def test_reaction_to_dicts_sticking_coefficient(self):
+ """StickingCoefficient: sticking-coefficient block present, A dimensionless."""
+ kin = StickingCoefficient(
+ A=(0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[self.h2, self.x, self.x],
+ products=[self.hx, self.hx],
+ kinetics=kin,
+ )
+ entries = reaction_to_dicts(rxn, self.all_surface)
+ d = entries[0]
+ assert "sticking-coefficient" in d
+ assert np.isclose(d["sticking-coefficient"]["A"], 0.1)
+ assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0)
+
+ def test_reaction_to_dicts_negative_a_sticking_coefficient(self):
+ """Negative sticking-coefficient A factors are marked for Cantera."""
+ kin = StickingCoefficient(
+ A=(-0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[self.h2, self.x, self.x],
+ products=[self.hx, self.hx],
+ kinetics=kin,
+ )
+ entries = reaction_to_dicts(rxn, self.all_surface)
+ assert entries[0]["negative-A"] is True
+
+ def test_reaction_to_dicts_coverage_dependence(self):
+ """Coverage-dependent kinetics: coverage-dependencies block present with correct units.
+
+ yaml_cantera1 declares activation-energy: J/kmol, so E must be ×1000
+ relative to RMG's J/mol value_si.
+ """
+ kin = StickingCoefficient(
+ A=(0.1, ""),
+ n=0,
+ Ea=(0, "kJ/mol"),
+ T0=(1, "K"),
+ coverage_dependence={
+ self.hx: {"a": 0.5, "m": -1.0, "E": (5.0, "kJ/mol")}
+ },
+ )
+ rxn = Reaction(
+ reactants=[self.h2, self.x, self.x],
+ products=[self.hx, self.hx],
+ kinetics=kin,
+ )
+ entries = reaction_to_dicts(rxn, self.all_surface)
+ d = entries[0]
+ assert "coverage-dependencies" in d
+ cov = d["coverage-dependencies"]["H_X(5)"]
+ assert np.isclose(cov["a"], 0.5)
+ assert np.isclose(cov["m"], -1.0)
+ # 5 kJ/mol = 5000 J/mol → ×1000 → 5 000 000 J/kmol
+ assert np.isclose(cov["E"], 5e6)
+
+ def test_reaction_to_dicts_surface_spectator_species(self):
+ """SurfaceArrhenius with a spectator species on both sides must not produce efficiencies.
+
+ Cantera's Python API misidentifies a species with equal stoichiometry on
+ both sides (a net spectator / surface catalyst) as a third-body collider,
+ causing input_data to include a spurious 'efficiencies' entry and doubled
+ stoichiometry in the equation string. reaction_to_dicts must detect and
+ fix this.
+ """
+ # Build a second surface species to act as spectator (adsorbed oxygen)
+ ox = _make_surface_species(
+ "O_X",
+ "1 O u0 p2 c0 {2,D}\n2 X u0 p0 c0 {1,D}",
+ index=6,
+ )
+ # H_X(5) + O_X(6) <=> X(4) + O_X(6) — O_X is spectator on both sides
+ kin = SurfaceArrhenius(
+ A=(4.18e20, "m^2/(mol*s)"), n=0.0, Ea=(148.7, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[self.hx, ox],
+ products=[self.x, ox],
+ kinetics=kin,
+ )
+ species_list = self.all_surface + [ox]
+ entries = reaction_to_dicts(rxn, species_list)
+ d = entries[0]
+ assert "efficiencies" not in d, (
+ "Spurious 'efficiencies' must not appear for a SurfaceArrhenius reaction "
+ "even when a species appears on both sides."
+ )
+ eq = d["equation"]
+ # O_X(6) should appear exactly once on each side, not doubled
+ assert eq.count("O_X(6)") == 2, (
+ f"Spectator O_X should appear once per side in: {eq}"
+ )
+ assert "2 O_X" not in eq, (
+ f"Spectator stoichiometry should not be doubled in: {eq}"
+ )
+
+ def test_reaction_to_dicts_three_species_one_side_spectator(self):
+ """Spectator on both sides with 3+ stoichiometric items on a side must still drop efficiencies.
+
+ Cantera's API (v. 3.1 and 3.2) misidentifies a species with net-zero stoichiometry as
+ a third-body collider whenever the reaction has three or more
+ stoichiometric items on one side. Routing ct.Reaction through an
+ equation string avoids this only for the 2-each-side case. For
+ wider reactions the writer must strip the resulting spurious
+ 'efficiencies' from input_data so the YAML round-trips through
+ ct.Solution.
+ See https://github.com/Cantera/cantera/issues/2115#issuecomment-4465564540
+ """
+ ox = _make_surface_species(
+ "O_X",
+ "1 O u0 p2 c0 {2,D}\n2 X u0 p0 c0 {1,D}",
+ index=6,
+ )
+ # Recombinative H2 desorption with an adjacent O_X site as a chemically
+ # inert spectator:
+ # 2 H_X + O_X <=> H2 + O_X + 2 X (atom balance: 2 H + O + 3 X)
+ # O_X has stoichiometry 1 on each side (net zero), so Cantera flags it
+ # as a third-body collider even though the underlying kinetics is a
+ # plain SurfaceArrhenius.
+ kin = SurfaceArrhenius(
+ A=(3.73e19, "m^2/(mol*s)"), n=0.475, Ea=(33.6, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[self.hx, self.hx, ox],
+ products=[self.h2, ox, self.x, self.x],
+ kinetics=kin,
+ )
+ species_list = self.all_surface + [ox]
+ entries = reaction_to_dicts(rxn, species_list)
+ d = entries[0]
+ assert "efficiencies" not in d, (
+ "Spurious 'efficiencies' must not appear for a SurfaceArrhenius "
+ f"reaction with a net-zero-stoichiometry spectator. Got: {d}"
+ )
+
+ def test_get_elements_block_isotopes_and_surface_site(self):
+ """get_elements_block emits isotope and X definitions only when requested."""
+ from rmgpy.molecule.element import H, C, D, T, X, e
+
+ # With D, T, X in use, the block names them with the right masses
+ elements_block, elements_line = get_elements_block({H, C, D, T, X})
+ assert 'X' in elements_line
+ assert 'D' in elements_block # H-2
+ assert 'T' in elements_block # H-3
+ assert 'X' in elements_block
+ assert '195.083' in elements_block # X atomic weight
+
+ # Without isotopes / X in use, neither appears
+ elements_block, elements_line = get_elements_block({H, C})
+ assert 'X' not in elements_line
+ assert ' D ' not in elements_line and '[D' not in elements_line and ', D' not in elements_line
+ assert 'D' not in elements_block
+ assert 'T' not in elements_block
+ assert 'X' not in elements_block
+
+ # The RMG electron singleton is lowercase e internally, but Cantera
+ # expects the uppercase pseudo-element E in phase element lists.
+ elements_block, elements_line = get_elements_block({H, e})
+ assert elements_block == ''
+ assert elements_line == 'elements: [E, H]'
+
+ def test_get_phases_gas_only_has_state(self):
+ """Gas-only phases block includes state with T and P."""
+ phases_block = get_phases_gas_only([self.h2, self.h], 'elements: [H]')
+ assert 'state:' in phases_block
+ assert 'T: 300.0' in phases_block
+ assert 'P: 1 atm' in phases_block
+
+ def test_get_phases_gas_only_has_elements(self):
+ """Gas-only phases block includes elements line."""
+ phases_block = get_phases_gas_only([self.h2], 'elements: [H]')
+ assert 'elements:' in phases_block
+
+ def test_get_mech_dict_nonsurface_reactions_key(self):
+ """Gas-only mech dict uses 'reactions' key."""
+ rxn = Reaction(
+ reactants=[self.h2], products=[self.h, self.h],
+ kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K"))
+ )
+ result = get_mech_dict_nonsurface([self.h2, self.h], [rxn])
+ assert 'species' in result
+ assert 'reactions' in result
+ assert len(result['reactions']) == 1
+
+ def test_get_mech_dict_surface_has_gas_and_surface_reactions(self):
+ """Surface mech dict separates gas-reactions and site0-reactions."""
+ kin = SurfaceArrhenius(
+ A=(1e13, "m^2/(mol*s)"), n=0, Ea=(50, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(reactants=[self.h2, self.x], products=[self.hx, self.hx], kinetics=kin)
+ result = get_mech_dict_surface(
+ [self.h2, self.x, self.hx], [rxn]
+ )
+ assert 'species' in result
+ assert 'gas-reactions' in result
+ assert 'site0-reactions' in result
+ assert len(result['site0-reactions']) == 1
+
+ def test_get_phases_with_surface_has_state(self):
+ """Surface phases block includes state for both gas and surface phases."""
+ phases_block = get_phases_with_surface(
+ [self.h2, self.x, self.hx],
+ surface_site_density=2.5e-9, # mol/cm^2-equivalent SI
+ elements_line='elements: [H, X]',
+ )
+ # Should have two phase definitions each with state
+ assert phases_block.count('state:') == 2
+ assert 'T: 300.0' in phases_block
+ assert 'P: 1 atm' in phases_block
+
+ def test_species_to_dict_surface_sites_count(self):
+ """species_to_dict reports correct 'sites' count for multi-site surface species."""
+ # Bidentate glyoxal adsorbed via C and O (2 X atoms)
+ glyoxal_xx = _make_surface_species(
+ "glyoxalXX",
+ "1 O u0 p2 c0 {3,S} {8,S}\n"
+ "2 O u0 p2 c0 {4,D}\n"
+ "3 C u0 p0 c0 {1,S} {4,S} {5,S} {7,S}\n"
+ "4 C u0 p0 c0 {2,D} {3,S} {6,S}\n"
+ "5 H u0 p0 c0 {3,S}\n"
+ "6 H u0 p0 c0 {4,S}\n"
+ "7 X u0 p0 c0 {3,S}\n"
+ "8 X u0 p0 c0 {1,S}",
+ index=215,
+ )
+ d2 = species_to_dict(glyoxal_xx)
+ assert 'sites' in d2
+ assert d2['sites'] == 2
+
+ def test_species_to_dict_gas_no_sites_field(self):
+ """Gas species must not have a 'sites' field."""
+ d = species_to_dict(self.h2)
+ assert 'sites' not in d
+
+ def test_species_to_dict_transport_note_always_present(self):
+ """Transport 'note' is always written when transport_data.comment is set."""
+ self.h2.transport_data.comment = "from GRI-Mech"
+ d = species_to_dict(self.h2)
+ assert d['transport']['note'] == "from GRI-Mech"
+
+
+class TestCanteraWriter1:
+ """Tests for the CanteraWriter1 class."""
+
+ def test_can_instantiate(self):
+ """Test that CanteraWriter1 can be instantiated."""
+ writer = CanteraWriter1()
+ assert writer is not None
+
+
+class TestRecentlyGeneratedCanteraYaml1GasOnly(CanteraYamlFileComparer):
+ """Tests for comparing recently generated Cantera YAML files, gas-only mechanism.
+
+ These are generated on the fly in the mainTest.py functional test and stored in the testing data directory.
+ """
+ test_data_folder='test/rmgpy/test_data/yaml_writer_data/'
+
+ @pytest.fixture(autouse=True, scope="class")
+ def find_recent_files(self, request):
+ """
+ Find the YAML files generated by mainTest.
+ """
+ cantera_file = os.path.join(self.test_data_folder, 'cantera1', 'from_main_test.yaml')
+ chemkin_file = os.path.join(self.test_data_folder, 'ck2yaml', 'from_main_test.yaml')
+
+ if not (os.path.exists(cantera_file) and os.path.exists(chemkin_file)):
+ # If mainTest's copy step was collected for this pytest session but the
+ # files are still missing, treat that as a failure rather than a skip —
+ # it means mainTest ran but didn't produce the expected output.
+ # (if using pytest-randomly or pytest-ordering to reorder them this will need altering).
+ main_test_collected = any(
+ item.name == "test_cantera_input_files_match_chemkin_later"
+ for item in request.session.items
+ )
+ if main_test_collected:
+ pytest.fail(
+ "from_main_test.yaml files missing even though mainTest's "
+ "copy step was collected — it likely failed before copying."
+ )
+ # If mainTest wasn't collected, it's likely that we're running this test
+ # in isolation, so skip without failing.
+ pytest.skip("from_main_test.yaml files not found. Run mainTest first.")
+
+ request.cls.yaml_path_1 = chemkin_file
+ request.cls.yaml_path_2 = cantera_file
+
+# This is kept here as an example of how to write a test comparing previously generated YAML files,
+# but the files themselves are now out of date and have been removed,
+# so the test is skipped and the class is commented out to avoid confusion.
+# @pytest.mark.skip(reason="These files are out of date and have been removed.")
+# class TestPreviouslyWrittenCanteraYamlWithSurface(CanteraYamlFileComparer):
+# """Tests for comparing previously written Cantera YAML files.
+
+# These are stored in the testing data directory.
+# """
+# test_data_folder='test/rmgpy/test_data/yaml_writer_data/'
+# # saved by Prosper in earlier commit
+# yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem1.yaml')
+# yaml_path_2 = os.path.join(test_data_folder, 'cantera1/chem1.yaml')
diff --git a/test/rmgpy/yaml_cantera2Test.py b/test/rmgpy/yaml_cantera2Test.py
new file mode 100644
index 00000000000..73c673bc8e3
--- /dev/null
+++ b/test/rmgpy/yaml_cantera2Test.py
@@ -0,0 +1,806 @@
+#!/usr/bin/env python3
+
+###############################################################################
+# #
+# RMG - Reaction Mechanism Generator #
+# #
+# Copyright (c) 2002-2023 Prof. William H. Green (whgreen@mit.edu), #
+# Prof. Richard H. West (r.west@neu.edu) and the RMG Team (rmg_dev@mit.edu) #
+# #
+# Permission is hereby granted, free of charge, to any person obtaining a #
+# copy of this software and associated documentation files (the 'Software'), #
+# to deal in the Software without restriction, including without limitation #
+# the rights to use, copy, modify, merge, publish, distribute, sublicense, #
+# and/or sell copies of the Software, and to permit persons to whom the #
+# Software is furnished to do so, subject to the following conditions: #
+# #
+# The above copyright notice and this permission notice shall be included in #
+# all copies or substantial portions of the Software. #
+# #
+# THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR #
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, #
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE #
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER #
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING #
+# FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER #
+# DEALINGS IN THE SOFTWARE. #
+# #
+###############################################################################
+
+
+import cantera as ct
+import os
+import shutil
+import numpy as np
+import pytest
+
+from cantera_yaml_comparer import CanteraYamlFileComparer
+from rmgpy.molecule import Atom, Molecule, get_element
+from rmgpy.species import Species
+from rmgpy.reaction import Reaction
+from rmgpy.kinetics import (
+ Arrhenius,
+ PDepArrhenius,
+ MultiArrhenius,
+ Chebyshev,
+ Troe,
+ Lindemann,
+ ThirdBody,
+)
+from rmgpy.kinetics.surface import SurfaceArrhenius, StickingCoefficient
+from rmgpy.thermo import NASA, NASAPolynomial
+from rmgpy.transport import TransportData
+from rmgpy.yaml_cantera2 import (
+ CanteraWriter2,
+ save_cantera_files,
+ species_to_dict,
+ reaction_to_dict_list,
+ generate_cantera_data,
+ get_elements_lists,
+)
+
+
+class TestCanteraWriter2:
+
+ def setup_method(self):
+ """
+ Create a temporary directory for file I/O tests.
+ """
+ base_dir = os.path.dirname(os.path.abspath(__file__))
+ self.tmp_dir = os.path.join(base_dir, 'tmp')
+
+ # Ensure a clean start: delete if exists, then create
+ if os.path.exists(self.tmp_dir):
+ shutil.rmtree(self.tmp_dir)
+ os.makedirs(self.tmp_dir)
+
+ def teardown_method(self):
+ """
+ Clean up the temporary directory after tests.
+ """
+ shutil.rmtree(self.tmp_dir)
+
+
+ def _create_dummy_species(self, label, formula, index=-1):
+ """Helper to create a functional RMG Species object with thermo/transport"""
+ sp = Species(label=label).from_smiles(formula)
+ sp.index = index
+ coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0]
+ poly_low = NASAPolynomial(coeffs=coeffs, Tmin=(200, 'K'), Tmax=(1000, 'K'))
+ poly_high = NASAPolynomial(coeffs=coeffs, Tmin=(1000, 'K'), Tmax=(6000, 'K'))
+ sp.thermo = NASA(polynomials=[poly_low, poly_high], Tmin=(200, 'K'), Tmax=(6000, 'K'))
+ num_atoms = len(sp.molecule[0].atoms)
+ if num_atoms == 1:
+ shape_idx = 0
+ elif num_atoms == 2:
+ shape_idx = 1
+ else:
+ shape_idx = 2
+ sp.transport_data = TransportData(
+ shapeIndex=shape_idx,
+ sigma=(3.0, 'angstrom'),
+ epsilon=(100.0, 'K'),
+ dipoleMoment=(1.7, 'De'),
+ polarizability=(0.0, 'angstrom^3'),
+ rotrelaxcollnum=1.0
+ )
+ return sp
+
+ def test_species_to_dict_standard(self):
+ """Test conversion of a standard gas species."""
+ sp = self._create_dummy_species("H2", "[H][H]", index=1)
+ d = species_to_dict(sp, [sp])
+
+ assert d['name'] == "H2(1)"
+ assert 'composition' in d
+ assert d['thermo']['model'] == 'NASA7'
+ assert len(d['thermo']['data']) == 2
+
+ # Verify Transport
+ assert 'transport' in d
+ assert d['transport']['model'] == 'gas'
+ assert d['transport']['geometry'] == 'linear'
+ # Diameter should be in angstroms ( https://cantera.org/dev/yaml/species.html#gas-transport )
+ assert np.isclose(d['transport']['diameter'], 3.0) # Angstroms
+ assert np.isclose(d['transport']['dipole'], 1.7) # Debye
+ assert np.isclose(d['transport']['well-depth'], 100.0) # Kelvin
+ assert np.isclose(d['transport']['rotational-relaxation'], 1.0)
+
+ def test_species_to_dict_warns_and_uses_charge_for_explicit_electron_mismatch(self, caplog):
+ """
+ Test that YAML species composition uses the net charge when explicit
+ electrons disagree.
+ """
+ sp = self._create_dummy_species("H2", "[H][H]", index=1)
+ sp.label = "H2minus_with_one_electron"
+ sp.molecule = [Molecule(atoms=[
+ Atom(element=get_element("H"), charge=-2, radical_electrons=0, lone_pairs=0),
+ Atom(element=get_element("e"), charge=0, radical_electrons=0, lone_pairs=0),
+ ])]
+
+ d = species_to_dict(sp, [sp])
+
+ assert d["composition"]["E"] == 2
+ assert "has 1 electrons but charge -2" in caplog.text
+ assert "Reporting 2 electrons in the Cantera YAML composition." in caplog.text
+
+ def test_species_to_dict_uses_charge_when_electrons_unspecified(self, caplog):
+ """
+ Test that YAML species composition uses the net charge without a warning
+ when no explicit electrons are present.
+ """
+ sp = self._create_dummy_species("H2", "[H][H]", index=1)
+ sp.label = "Hminus"
+ sp.molecule = [Molecule(atoms=[
+ Atom(element=get_element("H"), charge=-1, radical_electrons=0, lone_pairs=0),
+ ])]
+
+ d = species_to_dict(sp, [sp])
+
+ assert d["composition"]["E"] == 1
+ assert "electrons but charge" not in caplog.text
+
+ def test_reaction_to_dict_arrhenius(self):
+ """Test standard Arrhenius kinetics."""
+ r = self._create_dummy_species("R", "[CH2]O", index=1)
+ p = self._create_dummy_species("P", "C[O]", index=2)
+ rxn = Reaction(
+ reactants=[r], products=[p],
+ kinetics=Arrhenius(A=(1e10, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ )
+
+ entries = reaction_to_dict_list(rxn, species_list=[r, p])
+ assert len(entries) == 1
+ data = entries[0]
+
+ assert data['equation'] == "R(1) <=> P(2)"
+ assert 'rate-constant' in data
+ assert np.isclose(data['rate-constant']['A'], 1e10)
+ assert np.isclose(data['rate-constant']['b'], 0.5)
+ assert np.isclose(data['rate-constant']['Ea'], 10000.0)
+
+ def test_reaction_to_dict_negative_a_arrhenius(self):
+ """Negative Arrhenius A factors are marked for Cantera."""
+ r = self._create_dummy_species("R", "[CH2]O", index=1)
+ p = self._create_dummy_species("P", "C[O]", index=2)
+ rxn = Reaction(
+ reactants=[r], products=[p],
+ kinetics=Arrhenius(A=(-1e10, "s^-1"), n=0.5, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ )
+ entries = reaction_to_dict_list(rxn, species_list=[r, p])
+ assert entries[0]['negative-A'] is True
+
+ def test_reaction_to_dict_duplicates(self):
+ """Test that MultiKinetics objects result in multiple YAML entries."""
+ r = self._create_dummy_species("R", "[H]", index=1)
+ k1 = Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(0, "J/mol"), T0=(1, "K"))
+ k2 = Arrhenius(A=(2e10, "s^-1"), n=0, Ea=(0, "J/mol"), T0=(1, "K"))
+
+ rxn = Reaction(
+ reactants=[r], products=[r],
+ kinetics=MultiArrhenius(arrhenius=[k1, k2]),
+ duplicate=True
+ )
+
+ entries = reaction_to_dict_list(rxn, species_list=[r])
+ assert len(entries) == 2
+ assert entries[0]['rate-constant']['A'] == 1e10
+ assert entries[1]['rate-constant']['A'] == 2e10
+ assert entries[0].get('duplicate') is True
+
+ def test_reaction_to_dict_troe(self):
+ """Test Falloff/Troe serialization."""
+ r = self._create_dummy_species("R", "[H]", index=1)
+ M = self._create_dummy_species("M", "[Ar]", index=-1)
+
+ # Troe
+ k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ k_low = Arrhenius(A=(1e20, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+
+ troe = Troe(
+ arrheniusHigh=k_high, arrheniusLow=k_low,
+ alpha=0.5, T3=(100, "K"), T1=(200, "K"), T2=(300, "K"),
+ efficiencies={M.molecule[0]: 2.0}
+ )
+
+ rxn = Reaction(reactants=[r], products=[r], kinetics=troe)
+ entries = reaction_to_dict_list(rxn, species_list=[r, M])
+ data = entries[0]
+
+ assert data['type'] == 'falloff'
+ assert 'Troe' in data
+ assert data['Troe']['A'] == 0.5
+ assert data['Troe']['T2'] == 300.0
+ # Efficiencies should map label -> val
+ assert data['efficiencies'] == {"M": 2.0}
+
+ def test_generate_cantera_data_detects_plasma(self):
+ """Test that the writer detects 'e' and sets thermo: plasma."""
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+
+ # Case 1: No Electron
+ data = generate_cantera_data([h2], [], is_plasma=False)
+ phase = data['phases'][0]
+ assert phase['thermo'] == 'ideal-gas'
+ assert phase['transport'] == 'mixture-averaged'
+
+ def test_full_integration_plasma_model(self):
+ """
+ Create a comprehensive RMG model, write it to disk, and load it in Cantera
+ to ensure all fields are valid and parsed correctly.
+ """
+
+ # 1. Create Model Components
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ h = self._create_dummy_species("H", "[H]", index=2)
+ ch4 = self._create_dummy_species("CH4", "C", index=3)
+ oh = self._create_dummy_species("OH", "[OH]", index=4)
+ ar = self._create_dummy_species("Ar", "[Ar]", index=-1)
+
+ species = [h2, h, ch4, oh, ar]
+
+ r1 = Reaction(
+ reactants=[h2], products=[h, h],
+ kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K"))
+ )
+
+ r2 = Reaction(
+ reactants=[h, h], products=[h2],
+ kinetics=ThirdBody(
+ arrheniusLow=Arrhenius(A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K")),
+ efficiencies={ar.molecule[0]: 0.7}
+ )
+ )
+
+ reactions = [r1, r2]
+
+ # 2. Mock RMG Object Structure
+ # The writer expects: rmg.output_directory and rmg.reaction_model.core
+ from rmgpy.rmg.model import ReactionModel
+
+ class MockCore(ReactionModel):
+ def __init__(self):
+ super().__init__(species=species, reactions=reactions)
+
+ class MockModel:
+ def __init__(self):
+ self.core = MockCore()
+ self.edge = MockCore() # Empty for now
+
+ class MockRMG:
+ def __init__(self, out_dir):
+ self.output_directory = out_dir
+ self.reaction_model = MockModel()
+ self.save_edge_species = False
+ self.verbose_comments = False
+
+ mock_rmg = MockRMG(self.tmp_dir)
+ save_cantera_files(mock_rmg)
+
+ yaml_file = os.path.join(self.tmp_dir, "cantera2", "chem_annotated.yaml")
+ versioned_file = os.path.join(self.tmp_dir, "cantera2", "chem_annotated0005.yaml")
+ assert os.path.exists(yaml_file)
+ assert os.path.exists(versioned_file)
+
+ try:
+ sol = ct.Solution(yaml_file)
+ except Exception as e:
+ pytest.fail(f"Cantera failed to load the generated YAML: {e}")
+
+ assert sol.n_species == 5
+
+ assert sol.n_reactions == 2
+
+ ct_r2 = sol.reaction(1)
+ assert "three-body" in ct_r2.reaction_type or "ThreeBody" in ct_r2.reaction_type
+ assert np.isclose(ct_r2.third_body.efficiencies["Ar"], 0.7)
+
+ def test_reaction_to_dict_pdep_arrhenius(self):
+ """Test Pressure-Dependent Arrhenius (PLOG) structure."""
+ r = self._create_dummy_species("R", "[CH2]O", index=1)
+ p = self._create_dummy_species("P", "C[O]", index=2)
+
+ k_low = Arrhenius(A=(1e10, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ k_high = Arrhenius(A=(1e12, "s^-1"), n=0, Ea=(15, "kJ/mol"), T0=(1, "K"))
+
+ pdep = PDepArrhenius(
+ pressures=([0.1, 1.0], "atm"),
+ arrhenius=[k_low, k_high],
+ )
+
+ rxn = Reaction(reactants=[r], products=[p], kinetics=pdep)
+
+ entries = reaction_to_dict_list(rxn, species_list=[r, p])
+ data = entries[0]
+
+ assert data['type'] == 'pressure-dependent-Arrhenius'
+ rates = data['rate-constants']
+ assert len(rates) == 2
+
+ assert np.isclose(rates[0]['P'], 0.1 * 101325.0)
+ assert np.isclose(rates[0]['A'], 1e10)
+ assert np.isclose(rates[0]['Ea'], 10000.0)
+
+ assert np.isclose(rates[1]['P'], 1.0 * 101325.0)
+ assert np.isclose(rates[1]['A'], 1e12)
+ assert np.isclose(rates[1]['Ea'], 15000.0)
+
+ def test_reaction_to_dict_chebyshev(self):
+ """Test Chebyshev kinetics structure."""
+ r = self._create_dummy_species("R", "[H]", index=1)
+
+ # 2x2 Coefficients matrix
+ coeffs = np.array([[1.0, 2.0], [3.0, 4.0]])
+ cheb = Chebyshev(
+ Tmin=(300, "K"), Tmax=(2000, "K"),
+ Pmin=(0.01, "atm"), Pmax=(100, "atm"),
+ coeffs=coeffs,
+ kunits="s^-1"
+ )
+
+ rxn = Reaction(reactants=[r], products=[r], kinetics=cheb)
+
+ entries = reaction_to_dict_list(rxn, species_list=[r])
+ data = entries[0]
+
+ assert data['type'] == 'Chebyshev'
+
+ assert np.allclose(data['temperature-range'], [300.0, 2000.0])
+ assert np.allclose(data['pressure-range'], [0.01 * 101325.0, 100 * 101325.0])
+ assert np.allclose(data['data'], coeffs)
+
+ def test_reaction_to_dict_lindemann(self):
+ """Test Lindemann (Falloff without Troe parameters)."""
+ r = self._create_dummy_species("R", "[H]", index=1)
+ M = self._create_dummy_species("M", "[Ar]", index=-1)
+
+ k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ k_low = Arrhenius(A=(1e21, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ lind = Lindemann(
+ arrheniusHigh=k_high,
+ arrheniusLow=k_low,
+ efficiencies={M.molecule[0]: 5.0},
+ )
+ rxn = Reaction(reactants=[r], products=[r], kinetics=lind)
+ entries = reaction_to_dict_list(rxn, species_list=[r, M])
+ data = entries[0]
+
+ assert data['type'] == 'falloff'
+ assert 'high-P-rate-constant' in data
+ assert 'low-P-rate-constant' in data
+ assert np.isclose(data['high-P-rate-constant']['A'], 1e14)
+ assert np.isclose(data['low-P-rate-constant']['A'], 1e15)
+ assert data['efficiencies'] == {"M": 5.0}
+ assert 'Troe' not in data
+
+ def test_reaction_to_dict_negative_a_falloff(self):
+ """Negative high- or low-pressure A factors are marked for Cantera."""
+ r = self._create_dummy_species("R", "[H]", index=1)
+ M = self._create_dummy_species("M", "[Ar]", index=-1)
+ k_high = Arrhenius(A=(1e14, "s^-1"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ k_low = Arrhenius(A=(-1e21, "cm^3/(mol*s)"), n=0, Ea=(10, "kJ/mol"), T0=(1, "K"))
+ lind = Lindemann(
+ arrheniusHigh=k_high,
+ arrheniusLow=k_low,
+ efficiencies={M.molecule[0]: 5.0},
+ )
+ rxn = Reaction(reactants=[r], products=[r], kinetics=lind)
+ entries = reaction_to_dict_list(rxn, species_list=[r, M])
+ assert entries[0]['negative-A'] is True
+
+ def test_cantera_writer_class_listener(self):
+ """
+ Test the CanteraWriter2 class directly to ensure it correctly initializes
+ subdirectories and triggers the save on update().
+ """
+ writer = CanteraWriter2(self.tmp_dir)
+ cantera_dir = os.path.join(self.tmp_dir, 'cantera2')
+ assert os.path.exists(cantera_dir)
+ assert os.path.isdir(cantera_dir)
+
+ mock_rmg = self._create_dummy_model()
+ writer.update(mock_rmg)
+
+ versioned_file = os.path.join(cantera_dir, 'chem_annotated0002.yaml')
+ latest_file = os.path.join(cantera_dir, 'chem_annotated.yaml')
+
+ assert os.path.exists(versioned_file)
+ assert os.path.exists(latest_file)
+
+ with open(latest_file, 'r') as f:
+ content = f.read()
+ assert "generator: RMG-Py CanteraWriter2" in content or "generator: 'RMG-Py CanteraWriter2" in content
+ assert "phases:" in content
+ assert "species:" in content
+
+ def _create_dummy_model(self):
+ """Creates a mock object structure resembling RMG.reaction_model"""
+
+ # 1. Species
+ sp_H2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ sp_H = self._create_dummy_species("H", "[H]", index=2)
+ species_list = [sp_H2, sp_H]
+
+ # 2. Reactions
+ rxn_arr = Reaction(
+ reactants=[sp_H2], products=[sp_H, sp_H],
+ kinetics=Arrhenius(A=(1e13, "s^-1"), n=0.0, Ea=(200, "kJ/mol"), T0=(1, "K"))
+ )
+ reaction_list = [rxn_arr]
+
+ # Mock Object Structure
+ from rmgpy.rmg.model import ReactionModel
+
+ class MockCore(ReactionModel):
+ def __init__(self, s, r):
+ super().__init__(species=s, reactions=r)
+
+ class MockModel:
+ def __init__(self, core):
+ self.core = core
+ self.edge = MockCore([], [])
+ self.output_species_list = []
+ self.output_reaction_list = []
+
+ class MockRMG:
+ def __init__(self, out_dir, model):
+ self.output_directory = out_dir
+ self.reaction_model = model
+ self.save_edge_species = False
+ self.verbose_comments = False
+
+ return MockRMG(self.tmp_dir, MockModel(MockCore(species_list, reaction_list)))
+
+ def _create_surface_species(self, label, adjlist, index):
+ """Helper to create an RMG surface Species with NASA thermo (no transport)."""
+ sp = Species(label=label, index=index)
+ sp.from_adjacency_list(adjlist)
+ coeffs = [1.0, 0.0, 0.0, 0.0, 0.0, -100.0, 1.0]
+ sp.thermo = NASA(
+ polynomials=[
+ NASAPolynomial(coeffs=coeffs, Tmin=(200, "K"), Tmax=(1000, "K")),
+ NASAPolynomial(coeffs=coeffs, Tmin=(1000, "K"), Tmax=(6000, "K")),
+ ],
+ Tmin=(200, "K"),
+ Tmax=(6000, "K"),
+ )
+ return sp
+
+ # ------------------------------------------------------------------
+ # Surface species
+ # ------------------------------------------------------------------
+ def test_species_to_dict_surface_no_transport(self):
+ """Surface species: composition contains X, no transport block."""
+ sp = self._create_surface_species(
+ "X", "1 X u0 p0", index=10
+ )
+ d = species_to_dict(sp, [sp])
+ assert "X" in d["composition"]
+ assert "transport" not in d
+
+ def test_species_to_dict_surface_thermo(self):
+ """Surface species reports NASA7 thermo with two polynomial ranges."""
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=11
+ )
+ d = species_to_dict(hx, [hx])
+ assert d["thermo"]["model"] == "NASA7"
+ assert len(d["thermo"]["data"]) == 2
+ assert d["composition"] == {"H": 1, "X": 1}
+
+ # ------------------------------------------------------------------
+ # Surface reactions
+ # yaml_cantera2 declares activation-energy: J/mol, so value_si is used
+ # directly without any ×1000 conversion.
+ # ------------------------------------------------------------------
+ def test_reaction_to_dict_surface_arrhenius(self):
+ """SurfaceArrhenius: type is interface-Arrhenius, rate-constant in J/mol."""
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3
+ )
+ kin = SurfaceArrhenius(
+ A=(1e13, "m^2/(mol*s)"), n=0.5, Ea=(50, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[h2, x], products=[hx, hx], kinetics=kin
+ )
+ entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx])
+ assert len(entries) == 1
+ d = entries[0]
+ assert d["type"] == "interface-Arrhenius"
+ assert "rate-constant" in d
+ assert np.isclose(d["rate-constant"]["A"], 1e13)
+ assert np.isclose(d["rate-constant"]["b"], 0.5)
+ assert np.isclose(d["rate-constant"]["Ea"], 50000.0) # J/mol
+
+ def test_reaction_to_dict_sticking_coefficient(self):
+ """StickingCoefficient: type is sticking-Arrhenius, A is dimensionless."""
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3
+ )
+ kin = StickingCoefficient(
+ A=(0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[h2, x, x], products=[hx, hx], kinetics=kin
+ )
+ entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx])
+ assert len(entries) == 1
+ d = entries[0]
+ assert d["type"] == "sticking-Arrhenius"
+ assert "sticking-coefficient" in d
+ assert np.isclose(d["sticking-coefficient"]["A"], 0.1)
+ assert np.isclose(d["sticking-coefficient"]["Ea"], 0.0)
+
+ def test_reaction_to_dict_negative_a_sticking_coefficient(self):
+ """Negative sticking-coefficient A factors are marked for Cantera."""
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3
+ )
+ kin = StickingCoefficient(
+ A=(-0.1, ""), n=0, Ea=(0, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(
+ reactants=[h2, x, x], products=[hx, hx], kinetics=kin
+ )
+
+ entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx])
+
+ assert entries[0]["negative-A"] is True
+
+ def test_reaction_to_dict_coverage_dependence(self):
+ """Coverage-dependent kinetics: coverage-dependencies block written correctly.
+
+ yaml_cantera2 declares activation-energy: J/mol, so E uses value_si
+ (J/mol) directly — no ×1000 conversion.
+ """
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3
+ )
+ kin = StickingCoefficient(
+ A=(0.1, ""),
+ n=0,
+ Ea=(0, "kJ/mol"),
+ T0=(1, "K"),
+ coverage_dependence={
+ hx: {"a": 0.5, "m": -1.0, "E": (5.0, "kJ/mol")}
+ },
+ )
+ rxn = Reaction(
+ reactants=[h2, x, x], products=[hx, hx], kinetics=kin
+ )
+ entries = reaction_to_dict_list(rxn, species_list=[h2, x, hx])
+ d = entries[0]
+ assert "coverage-dependencies" in d
+ cov = d["coverage-dependencies"]["H_X(3)"]
+ assert np.isclose(cov["a"], 0.5)
+ assert np.isclose(cov["m"], -1.0)
+ # 5 kJ/mol = 5000 J/mol — written directly (J/mol units declared)
+ assert np.isclose(cov["E"], 5000.0)
+
+ def test_reaction_to_dict_thirdbody_unit(self):
+ """ThirdBody: type three-body, efficiencies map, rate-constant present."""
+ h = self._create_dummy_species("H", "[H]", index=1)
+ h2 = self._create_dummy_species("H2", "[H][H]", index=2)
+ ar = self._create_dummy_species("Ar", "[Ar]", index=3)
+ kin = ThirdBody(
+ arrheniusLow=Arrhenius(
+ A=(1e18, "cm^6/(mol^2*s)"), n=-1, Ea=(0, "J/mol"), T0=(1, "K")
+ ),
+ efficiencies={ar.molecule[0]: 0.7},
+ )
+ rxn = Reaction(reactants=[h, h], products=[h2], kinetics=kin)
+ entries = reaction_to_dict_list(rxn, species_list=[h, h2, ar])
+ d = entries[0]
+ assert d.get("type") == "three-body"
+ assert "rate-constant" in d
+ assert "efficiencies" in d
+ assert np.isclose(d["efficiencies"]["Ar(3)"], 0.7)
+
+ def test_get_elements_block_isotopes_and_surface_site(self):
+ """get_elements_lists emits isotope and X definitions only when in use."""
+ from rmgpy.molecule.element import H, C, D, T, X, e
+
+ # With D, T, X in use: isotope and X entries appear
+ custom_elements, elements_list = get_elements_lists({H, C, D, T, X})
+ assert 'H' in elements_list
+ assert 'C' in elements_list
+ assert 'X' in elements_list
+ x_entry = next((e for e in custom_elements if e['symbol'] == 'X'), None)
+ assert x_entry is not None
+ assert np.isclose(x_entry['atomic-weight'], 195.083)
+ symbols = [e['symbol'] for e in custom_elements]
+ assert 'D' in symbols # H-2
+ assert 'T' in symbols # H-3
+ for entry in custom_elements:
+ assert entry['atomic-weight'] > 0
+
+ # Without isotopes / X: no custom entries, no X in the elements list
+ custom_elements, elements_list = get_elements_lists({H, C})
+ assert custom_elements == []
+ assert 'X' not in elements_list
+ assert 'D' not in elements_list
+ assert 'T' not in elements_list
+
+ # The RMG electron singleton is lowercase e internally, but exports as
+ # Cantera's uppercase pseudo-element E.
+ custom_elements, elements_list = get_elements_lists({H, e})
+ assert custom_elements == []
+ assert elements_list == ['E', 'H']
+
+ def test_generate_cantera_data_elements_block(self):
+ """generate_cantera_data emits a top-level 'elements' key only when
+ non-builtin elements (isotopes, X) are in use, matching ck2yaml."""
+ from rmgpy.molecule.element import H, X, e
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+
+ # Gas-only H2: no isotopes, no X -> no top-level 'elements' block.
+ data = generate_cantera_data([h2], [], elements_in_use={H})
+ assert 'elements' not in data
+
+ # Surface fixture: X is in use, so it appears as a custom element.
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ data = generate_cantera_data([h2, x], [], elements_in_use={H, X})
+ symbols = [entry['symbol'] for entry in data['elements']]
+ assert 'X' in symbols
+
+ electron = Species(label="e", index=2)
+ electron.from_adjacency_list("1 e u1 p0 c-1")
+ electron.thermo = h2.thermo
+ data = generate_cantera_data([h2, electron], [], elements_in_use={H, e}, is_plasma=True)
+ assert data['phases'][0]['elements'] == ['E', 'H']
+ electron_entry = next(sp for sp in data['species'] if sp['name'] == 'e(2)')
+ assert electron_entry['composition'] == {'E': 1}
+
+ def test_generate_cantera_data_gas_phase_state(self):
+ """Gas phase definition includes a 'state' block with T and P."""
+ from rmgpy.molecule.element import H
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ data = generate_cantera_data([h2], [], elements_in_use={H})
+
+ gas_phase = data['phases'][0]
+ assert 'state' in gas_phase
+ assert np.isclose(gas_phase['state']['T'], 300.0)
+ assert gas_phase['state']['P'] == '1 atm'
+
+ def test_generate_cantera_data_gas_reactions_key(self):
+ """Gas-only model uses top-level 'reactions' key (matching ck2yaml)."""
+ from rmgpy.molecule.element import H
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ h = self._create_dummy_species("H", "[H]", index=2)
+ rxn = Reaction(
+ reactants=[h2], products=[h, h],
+ kinetics=Arrhenius(A=(1e13, "s^-1"), n=0, Ea=(400, "kJ/mol"), T0=(1, "K"))
+ )
+ data = generate_cantera_data([h2, h], [rxn], elements_in_use={H})
+
+ gas_phase = data['phases'][0]
+ assert 'reactions' not in gas_phase, "Gas-only phase should not reference reactions"
+ assert 'reactions' in data
+ assert len(data['reactions']) == 1
+ assert 'gas-reactions' not in data
+
+ def test_generate_cantera_data_surface_phase_state_and_reactions_key(self):
+ """Surface phase has 'state' and references 'surface-reactions'; data has that key."""
+ from rmgpy.molecule.element import H, X
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ x = self._create_surface_species("X", "1 X u0 p0", index=2)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=3
+ )
+ kin = SurfaceArrhenius(
+ A=(1e13, "m^2/(mol*s)"), n=0, Ea=(50, "kJ/mol"), T0=(1, "K")
+ )
+ rxn = Reaction(reactants=[h2, x], products=[hx, hx], kinetics=kin)
+ data = generate_cantera_data([h2, x, hx], [rxn], elements_in_use={H, X})
+
+ surface_phase = next(p for p in data['phases'] if p['name'] == 'surface')
+ assert 'state' in surface_phase
+ assert np.isclose(surface_phase['state']['T'], 300.0)
+ assert surface_phase['reactions'] == ['surface-reactions']
+ assert 'surface-reactions' in data
+ assert len(data['surface-reactions']) == 1
+
+ def test_species_to_dict_surface_sites_count(self):
+ """species_to_dict reports 'sites' only for multi-site (bidentate+) surface species."""
+ # Single-site species: 'sites' key is omitted (Cantera defaults to 1)
+ hx = self._create_surface_species(
+ "H_X", "1 H u0 p0 {2,S}\n2 X u0 p0 {1,S}", index=11
+ )
+ d = species_to_dict(hx, [hx])
+ assert 'sites' not in d
+
+ # Bidentate glyoxal adsorbed via C and O (2 X atoms)
+ glyoxal_xx = self._create_surface_species(
+ "glyoxalXX",
+ "1 O u0 p2 c0 {3,S} {8,S}\n"
+ "2 O u0 p2 c0 {4,D}\n"
+ "3 C u0 p0 c0 {1,S} {4,S} {5,S} {7,S}\n"
+ "4 C u0 p0 c0 {2,D} {3,S} {6,S}\n"
+ "5 H u0 p0 c0 {3,S}\n"
+ "6 H u0 p0 c0 {4,S}\n"
+ "7 X u0 p0 c0 {3,S}\n"
+ "8 X u0 p0 c0 {1,S}",
+ index=215,
+ )
+ d2 = species_to_dict(glyoxal_xx, [glyoxal_xx])
+ assert 'sites' in d2
+ assert d2['sites'] == 2
+
+ def test_species_to_dict_gas_no_sites_field(self):
+ """Gas species must not have a 'sites' field."""
+ h2 = self._create_dummy_species("H2", "[H][H]", index=1)
+ d = species_to_dict(h2, [h2])
+ assert 'sites' not in d
+
+ def test_species_to_dict_transport_note_always_present(self):
+ """Transport 'note' is always written when transport_data.comment is set."""
+ sp = self._create_dummy_species("H2", "[H][H]", index=1)
+ sp.transport_data.comment = "from GRI-Mech"
+ d = species_to_dict(sp, [sp])
+ assert d['transport']['note'] == "from GRI-Mech"
+
+
+class TestRecentlyGeneratedCanteraYaml2GasOnly(CanteraYamlFileComparer):
+ """Tests for comparing recently generated Cantera YAML files from cantera2, gas-only mechanism.
+
+ These are generated on the fly in the mainTest.py functional test and stored in the testing data directory.
+ """
+ test_data_folder = 'test/rmgpy/test_data/yaml_writer_data/'
+
+ @pytest.fixture(autouse=True, scope="class")
+ def find_recent_files(self, request):
+ """
+ Find the YAML files generated by mainTest.
+ """
+ cantera_file = os.path.join(self.test_data_folder, 'cantera2', 'from_main_test.yaml')
+ chemkin_file = os.path.join(self.test_data_folder, 'ck2yaml', 'from_main_test.yaml')
+
+ if not (os.path.exists(cantera_file) and os.path.exists(chemkin_file)):
+ # If mainTest's copy step was collected for this pytest session but the
+ # files are still missing, treat that as a failure rather than a skip —
+ # it means mainTest ran but didn't produce the expected output.
+ # (if using pytest-randomly or pytest-ordering to reorder them this will need altering).
+ main_test_collected = any(
+ item.name == "test_cantera_input_files_match_chemkin_later"
+ for item in request.session.items
+ )
+ if main_test_collected:
+ pytest.fail(
+ "from_main_test.yaml files missing even though mainTest's "
+ "copy step was collected — it likely failed before copying."
+ )
+ # If mainTest wasn't collected, it's likely that we're running this test
+ # in isolation, so skip without failing.
+ pytest.skip("from_main_test.yaml files not found. Run mainTest first.")
+
+ request.cls.yaml_path_1 = chemkin_file
+ request.cls.yaml_path_2 = cantera_file
diff --git a/test/rmgpy/yaml_writer/compare_yaml_outputs.py b/test/rmgpy/yaml_writer/compare_yaml_outputs.py
new file mode 100644
index 00000000000..b5634792250
--- /dev/null
+++ b/test/rmgpy/yaml_writer/compare_yaml_outputs.py
@@ -0,0 +1,228 @@
+import os
+import yaml
+import pandas as pd
+import re
+from collections import Counter
+
+class YamlAnalyst:
+ def __init__(self, path_to_yaml_file):
+ self.path_to_yaml_file = path_to_yaml_file
+
+ def get_absolute_path(self):
+ # If path is already absolute, use it; otherwise join with cwd
+ if os.path.isabs(self.path_to_yaml_file):
+ return self.path_to_yaml_file
+ return os.path.join(os.getcwd(), self.path_to_yaml_file)
+
+ def load_yaml_file(self):
+ with open(self.get_absolute_path(), 'r') as file:
+ return yaml.safe_load(file)
+
+ def get_species(self):
+ return self.load_yaml_file()['species']
+
+ def get_species_count(self):
+ return len(self.get_species())
+
+ def get_species_names(self):
+ return [specie['name'] for specie in self.get_species()]
+
+ def get_species_count_per_phase(self):
+ return {f"specie_count_{phase['name']}": len(phase['species']) for phase in self.load_yaml_file()['phases']}
+
+ def get_reactions_dict(self):
+ reactions_dict = {}
+ data = self.load_yaml_file()
+ for key, values in data.items():
+ if key in [f"{phase['name']}-reactions" for phase in data['phases']]:
+ reactions_dict[key] = data[key]
+ elif key == 'gas_reactions':
+ reactions_dict['gas_reactions'] = data['gas_reactions']
+ elif key == 'surface_reactions':
+ reactions_dict['surface_reactions'] = data['surface_reactions']
+ elif key == 'reactions':
+ # Gas-only mechanisms use plain 'reactions' key
+ reactions_dict['reactions'] = data['reactions']
+ return reactions_dict
+
+ def create_reaction_df(self, reactions):
+ data = []
+ for reaction in reactions:
+ row = {'equation': reaction['equation']}
+ if 'rate-constant' in reaction:
+ row.update(reaction['rate-constant'])
+ elif 'sticking-coefficient' in reaction:
+ row.update(reaction['sticking-coefficient'])
+ data.append(row)
+ return pd.DataFrame(data)
+ def get_reaction_df(self):
+ reaction_dfs = {key: self.create_reaction_df(value) for key, value in self.get_reactions_dict().items()}
+ return reaction_dfs
+
+ def get_reaction_count(self):
+ return {key: len(value) for key, value in self.get_reactions_dict().items()}
+
+class CompareYaml:
+ '''
+ Compare two YAML files.
+
+ Args:
+ yaml_path_1: Path to the first YAML file.
+ yaml_path_2: Path to the second YAML file.
+ '''
+ def __init__(self, yaml_path_1, yaml_path_2):
+ self.yaml1 = YamlAnalyst(yaml_path_1)
+ self.yaml2 = YamlAnalyst(yaml_path_2)
+
+ def compare_species_count(self):
+ count1 = self.yaml1.get_species_count()
+ count2 = self.yaml2.get_species_count()
+ if count1 - count2 == 0:
+ return True
+ else:
+ return False
+
+ def compare_species_names(self):
+ names1 = set(self.yaml1.get_species_names())
+ names2 = set(self.yaml2.get_species_names())
+ if set(names1) == set(names2):
+ return True
+ else:
+ return False
+
+ def compare_species_count_per_phase(self):
+ count_per_phase1 = self.yaml1.get_species_count_per_phase()
+ count_per_phase2 = self.yaml2.get_species_count_per_phase()
+ phase_names1 = [phase['name'] for phase in self.yaml1.load_yaml_file()['phases']]
+ phase_names2 = [phase['name'] for phase in self.yaml2.load_yaml_file()['phases']]
+ all_phase_names = set(phase_names1).union(set(phase_names2))
+ count_diff = {'gas': count_per_phase1[f"specie_count_{phase_names1[0]}"] - count_per_phase2[f"specie_count_{phase_names2[0]}"],
+ 'surface': count_per_phase1[f"specie_count_{phase_names1[1]}"] - count_per_phase2[f"specie_count_{phase_names2[1]}"]
+ }
+ if count_diff['gas'] == 0 and count_diff['surface'] == 0:
+ return True
+ else:
+ return False
+
+ def normalize_equation(self, equation):
+ def process_side(side):
+ # Extract and remove (+M) or +M third-body markers
+ has_third_body = False
+ side_clean = side.strip()
+ if '(+M)' in side_clean:
+ has_third_body = True
+ side_clean = side_clean.replace('(+M)', '').strip()
+ elif side_clean.strip().endswith('+ M'):
+ has_third_body = True
+ side_clean = side_clean.rsplit('+ M', 1)[0].strip()
+
+ components = side_clean.split('+')
+ expanded = []
+ for component in components:
+ component = component.strip()
+ if not component:
+ continue
+ # Match optional integer coefficient prefix (e.g. "2 CH3(14)")
+ m = re.match(r'^(\d+)\s+(.+)$', component)
+ if m:
+ count = int(m.group(1))
+ species = m.group(2).strip()
+ expanded.extend([species] * count)
+ else:
+ expanded.append(component)
+
+ result = ' + '.join(sorted(expanded))
+ if has_third_body:
+ result += ' (+M)'
+ return result
+
+ # Handle both reversible (<=>) and irreversible (=>) reactions
+ if '<=>' in equation:
+ reactants, products = equation.split('<=>')
+ separator = '<=>'
+ elif '=>' in equation:
+ reactants, products = equation.split('=>')
+ separator = '=>'
+ else:
+ raise ValueError(f"Unknown reaction format: {equation}")
+
+ normalized_reactants = process_side(reactants)
+ normalized_products = process_side(products)
+ return f"{normalized_reactants} {separator} {normalized_products}"
+
+ def compare_reactions(self):
+ """Compare reactions between two YAML files.
+
+ First checks that reaction counts and normalized equations match.
+ Then uses Cantera to load both files and compares forward rate
+ constants at a reference state to verify kinetic equivalence,
+ since the two files may use different unit systems internally.
+ """
+ import cantera as ct
+ import numpy as np
+
+ reactions1 = self.yaml1.get_reaction_df()
+ reactions2 = self.yaml2.get_reaction_df()
+
+ # Check if total reaction counts match
+ count1 = sum(len(df) for df in reactions1.values())
+ count2 = sum(len(df) for df in reactions2.values())
+ if count1 != count2:
+ return False
+
+ # Collect all normalized equations from each file (using Counter to handle duplicates)
+ all_eqs_1 = Counter()
+ all_eqs_2 = Counter()
+ for key, df in reactions1.items():
+ all_eqs_1.update(df['equation'].apply(self.normalize_equation))
+ for key, df in reactions2.items():
+ all_eqs_2.update(df['equation'].apply(self.normalize_equation))
+
+ # Check that all reaction equations are present in both files
+ if all_eqs_1 != all_eqs_2:
+ return False
+
+ # Use Cantera to compare actual rate constants, since the two files
+ # may store A/Ea values in different unit systems
+ yaml1_path = self.yaml1.get_absolute_path()
+ yaml2_path = self.yaml2.get_absolute_path()
+ try:
+ gas1 = ct.Solution(yaml1_path)
+ gas2 = ct.Solution(yaml2_path)
+ except Exception as e:
+ # If Cantera can't load the files, fall back to equation-only comparison
+ print(f"Warning: Cantera failed to load one or both files: {e}")
+ print(f"Falling back to equation-only comparison")
+ return True
+
+ # Compare at a reference state
+ T, P = 1000.0, ct.one_atm
+ # Build a composition string from species common to both
+ species_names = [s.name for s in gas1.species()]
+ if len(species_names) >= 2:
+ comp = f"{species_names[0]}:0.5, {species_names[1]}:0.5"
+ else:
+ comp = f"{species_names[0]}:1.0"
+
+ gas1.TPX = T, P, comp
+ gas2.TPX = T, P, comp
+
+ kf1 = gas1.forward_rate_constants
+ kf2 = gas2.forward_rate_constants
+
+ # Use relative tolerance for comparison; allow 1% difference
+ # to account for Chemkin format precision loss
+ result = np.allclose(kf1, kf2, rtol=0.01, atol=1e-50)
+
+ if not result:
+ # Find which reactions differ
+ diff_mask = ~np.isclose(kf1, kf2, rtol=0.01, atol=1e-50)
+ diff_indices = np.where(diff_mask)[0]
+ print(f"\n{len(diff_indices)} reactions have mismatched rate constants:")
+ for idx in diff_indices[:5]: # Show first 5
+ rxn1 = gas1.reaction(int(idx))
+ rxn2 = gas2.reaction(int(idx))
+ print(f" Reaction {idx}: {rxn1.equation}")
+ print(f" RMG kf: {kf1[idx]:.6e}, CK kf: {kf2[idx]:.6e}, ratio: {kf1[idx]/kf2[idx] if kf2[idx] != 0 else 'inf':.4f}")
+
+ return result
diff --git a/test/rmgpy/yaml_writer/test_yaml.py b/test/rmgpy/yaml_writer/test_yaml.py
new file mode 100644
index 00000000000..9fa3f020db4
--- /dev/null
+++ b/test/rmgpy/yaml_writer/test_yaml.py
@@ -0,0 +1,28 @@
+from compare_yaml_outputs import CompareYaml
+import os
+import pytest
+
+@pytest.fixture(scope="module")
+def compare_manager():
+ '''Create instance of a Compare Yaml before each test'''
+ test_data_folder='test/rmgpy/test_data/yaml_writer_data/'
+ # saved by Prosper in earlier commit
+ yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem0047-gas.yaml')
+ yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem47.yaml')
+
+ # generated on the fly in recent functional test
+ yaml_path_1 = os.path.join(test_data_folder, 'chemkin/chem37.yaml')
+ yaml_path_2 = os.path.join(test_data_folder, 'cantera/chem37.yaml')
+ return CompareYaml(yaml_path_1, yaml_path_2)
+
+def test_compare_number_of_species(compare_manager):
+ assert compare_manager.compare_species_count() == True
+
+def test_compare_species_names(compare_manager):
+ assert compare_manager.compare_species_names() == True
+
+def test_compare_species_count_per_phase(compare_manager):
+ assert compare_manager.compare_species_count_per_phase() == True
+
+def test_compare_reactions(compare_manager):
+ assert compare_manager.compare_reactions() == True
\ No newline at end of file
diff --git a/utilities.py b/utilities.py
index 10178c10dfc..95cec426e57 100644
--- a/utilities.py
+++ b/utilities.py
@@ -48,18 +48,27 @@ def check_dependencies():
print('{0:<15}{1:<15}{2}'.format('Package', 'Version', 'Location'))
missing = {
+ 'cantera': _check_cantera(),
'openbabel': _check_openbabel(),
'pydqed': _check_pydqed(),
- 'pyrdl': _check_pyrdl(),
'rdkit': _check_rdkit(),
'symmetry': _check_symmetry(),
}
if any(missing.values()):
print("""
+ ╔═══════════════════════════════════════════════════════════════════════════╗
+ ║ ! ! ║
+ ║ ! ! WARNING: MISSING DEPENDENCIES ! ! ║
+ ║ !!!!! !!!!! ║
+ ╚═══════════════════════════════════════════════════════════════════════════╝
+
There are missing dependencies as listed above. Please install them before proceeding.
conda env update -f environment.yml
+
+Or (often better) make a new conda environment and restart the installation instructions.
+See https://reactionmechanismgenerator.github.io/RMG-Py/users/rmg/installation
Be sure to activate your conda environment (rmg_env by default) before installing or updating.
""")
@@ -68,6 +77,35 @@ def check_dependencies():
Everything was found :)
""")
+def _check_cantera():
+ """Check for Cantera with version >= 3.0"""
+ missing = False
+
+ try:
+ import cantera
+ except ImportError:
+ print('{0:<30}{1}'.format('Cantera',
+ 'Not found. Necessary for output file writing and utilities.'))
+ missing = True
+ else:
+ version = cantera.__version__
+ location = cantera.__file__
+
+ # Parse version string to compare (e.g., "3.0.0" -> (3, 0))
+ try:
+ version_tuple = tuple(int(x) for x in version.split('.')[:2])
+ except (ValueError, IndexError):
+ version_tuple = (0, 0)
+
+ if version_tuple < (3, 0):
+ print('{0:<15}{1:<15}{2}'.format('Cantera', version, location))
+ print(' !!! Cantera version must be 3.0 or later.')
+ missing = True
+ else:
+ print('{0:<15}{1:<15}{2}'.format('Cantera', version, location))
+
+ return missing
+
def _check_openbabel():
"""Check for OpenBabel"""
@@ -104,22 +142,6 @@ def _check_pydqed():
return missing
-def _check_pyrdl():
- """Check for pyrdl"""
- missing = False
-
- try:
- import py_rdl
- except ImportError:
- print('{0:<30}{1}'.format('pyrdl', 'Not found. Necessary for ring perception algorithms.'))
- missing = True
- else:
- location = py_rdl.__file__
- print('{0:<30}{1}'.format('pyrdl', location))
-
- return missing
-
-
def _check_rdkit():
"""Check for RDKit"""
missing = False
@@ -267,7 +289,7 @@ def update_headers():
start of each file, be sure to double-check the results to make sure
important lines aren't accidentally overwritten.
"""
- shebang = """#!/usr/bin/env python
+ shebang = """#!/usr/bin/env python3
"""