| Matbench Discovery |
Interactive leaderboard for machine learning models on atomistic simulations. |
Data/Comp, Code/ML, App |
| QM/ML Datasets |
Curated archive of benchmark datasets (molecules, solids, and liquids) for ML models. |
Data/Comp |
| Minnesota Database 2.0 |
Curated collection of benchmark datasets for evaluating energetic and structural properties in chemistry and physics. |
Data/Comp |
| JARVIS-Leaderboard |
Open benchmarking resource comparing the performance of AI models, DFT codes, and classical force fields against high-quality reference data. |
App, Data |
| LeMaterial |
Open-source collaborative dataset and benchmark platform for materials science. |
Data |
| MatTools |
Benchmarking Large Language Models for materials science tools. |
Data, Code/ML |
| BOOM |
Benchmarking out-of-distribution molecular property predictions of machine learning models. |
Data, Code/ML |
| ZEBRA-dataset |
Materials Project dataset for evaluating materials property prediction models. |
Data, Code/ML |
| RADII |
Benchmark dataset and evaluation framework for characterizing the extrapolation frontier of graph generative models. |
Data, Code/ML |
| quantum-machine.org |
Databases and benchmarks for machine learning in quantum chemistry. |
Data/Comp, App |
| ChemBench |
Systematic evaluation of chemistry knowledge in large language models. |
Data |
| MaCBench |
Multimodal reasoning benchmark for materials science and chemistry. |
Data, Code/ML |
| PDEBench |
Extensive benchmark suite for scientific machine learning on partial differential equations. |
Data, Code/ML |
| VaspAgent_with_Benchmark |
Agentic framework for autonomous materials computation and evaluation. |
Code/WF, Code/ML |
| PhononBench |
Phonon-based benchmark for dynamical stability evaluation of AI-generated crystals. |
Data/Comp, Code/ML |
| AtomWorldBench |
Benchmark evaluating spatial reasoning and structural modification of CIF files by large language models. |
Data, Code/ML |
| MADE |
Benchmarking environment for agentic systems in closed-loop materials discovery. |
Code/WF, Code/ML |
| PRBench-Eval-Handson |
Evaluation harness benchmarking artificial intelligence agents on reproducing scientific research. |
Code/WF, Code/ML |
| SciConvBench |
Conversational benchmark evaluating large language models on multi-turn task clarification for computational science. |
Data, Code/ML |
| MatFormBench |
Benchmarking ecosystem evaluating generative strategies for target-driven formulation. |
Data, Code/ML |
| WF-Bench |
Benchmark dataset evaluating the expressivity and scaling laws of neural-network wavefunctions. |
Data/Comp, Code/ML |
| ML-PEG |
Interactive benchmarking and extrapolation guide for machine learning interatomic potentials. |
App, Code/ML |
| SciVerseGym |
Gymnasium-compatible environment for reinforcement learning and Bayesian optimization in crystal discovery. |
Code/WF, Code/ML |
| physci-deepresearch |
Benchmark evaluating LLM agent systems on multi-step scientific reasoning tasks in physics and chemistry. |
Code/WF, Code/ML |
| UniFFBench |
Evaluation of universal machine learning force fields against experimental materials data. |
Data, Code/ML |
| incarbench |
Benchmark evaluating LLMs on generating and repairing VASP INCAR configuration files. |
Data, Code/ML |
| MatSciFig |
Multimodal dataset of panel-level images and scientific text extracted from materials science literature. |
Data |
| MaterialScope |
Object detection dataset for layout analysis and panel localization in materials science figures. |
Data |
| TheNanotechnologyMolecularOptimizationBenchmark |
Benchmark suite evaluating generative molecular design models on nanotechnology applications. |
Data, Code/ML |
| Charlotte Electride Database |
Database of computationally screened inorganic electride materials. |
Data/Comp, App |
| MatPhaseBench |
Semantics-guided benchmark evaluating vision-language models on materials phase diagrams understanding. |
Data, Code/ML |
| MatPES |
Potential energy surface dataset computed using PBE and r2SCAN functionals for machine learning interatomic potentials. |
App, Data/Comp, Code/ML |