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Model for ALIGNN-FF Forces

  • Description: This is an AI benchmark to evaluate how accurately a machine learning force-field (MLFF) can predict forces using the relaxation trajectories (energy and forces of intermediate steps) of the JARVIS-DFT (dft_3d) dataset, calculated with the OPTB88vdw density functional. The dataset contains different types of chemical formula and atomic structures. Here we use multi-mean absolute error (multi-MAE) to compare MLFFs with respect to DFT (OPT) accuracy.


Model benchmarks

Model nameDataset Accuracy Team name Dataset size Date submitted Notes
m3gnet_pretrainedalignn_ff_db0.08448789649784973M3GNET30711101-14-2023CSV, JSON,, Info
alignnff_pretrained_wt10alignn_ff_db0.5782337321792528JARVIS30711101-14-2023CSV, JSON,, Info