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MultiOptPy Documentation
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=======================
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**Version**: v1.4.5
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**Version**: v1.15.4
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**Repository**: `https://github.com/ss0832/MultiOptPy <https://github.com/ss0832/MultiOptPy>`_
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*An optimizer for quantum chemical calculation including artificial force induced reaction method*
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git clone https://github.com/ss0832/MultiOptPy.git
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or download the latest version of this program (v1.4.5 (2025/3/5) ).
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or download the latest version of this program (v1.15.4).
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Requirements
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python optmain.py SN2.xyz
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# Transition state optimization (1st-order saddle)
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python optmain.py aldol_rxn_PT.xyz -xtb GFN2-xTB -opt rfo3_bofill -order 1 -fc 5
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python optmain.py aldol_rxn_PT.xyz -xtb GFN2-xTB -opt rsirfo_fsb -order 1 -fc 5
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# NEB calculation
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python nebmain.py aldol_rxn -xtb GFN2-xTB -ns 50
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- Description
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- Default
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* - ``-opt``, ``--opt_method``
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- Optimization method (e.g. ``FIRELARS``, ``RFO``)
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- Optimization method (e.g. ``FIRELARS``, ``rsirfo_fsb``)
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- ``FIRELARS``
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* - ``-fc``, ``--calc_exact_hess``
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- Calculate exact Hessian every N steps
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* - ``-ns``, ``--NSTEP``
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- Number of iterations
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- ``999``
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* - ``-opt``, ``--opt_method``
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- Optimization method
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- ``FIRELARS``
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* - ``-sub_bs``, ``--sub_basisset``
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- Sub basis set for specific atoms
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- None
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------------
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Bias Potentials and Forces
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Bias Potentials and Forces (optmain.py, nebmain.py, mdmain.py, ieipmain.py)
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-------------------------
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MultiOptPy supports a variety of bias potentials and forces.
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------------
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Extended Tight Binding Options
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Extended Tight Binding Options (optmain.py, nebmain.py, mdmain.py, ieipmain.py)
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-----------------------------
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.. list-table::

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