Table S5 from the MatterSim paper: Comparison of property prediction performance for M3GNet and Graphormer models.
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Table S1 from the MatterSim paper
Not exactly the most rigorous test, but this side-by-side comparison shows the difference between running MD locally (M2 Macbook Air) and on a proper server (g4dn.2xl with T4 GPU). Each log is actually 100 simulation steps too.
(a) A data explorer employed in MatterSim for generating datasets covering wide potential energy surface. Histogram of the stress (GPa) and effective temperature (K) of: (b) the generated materials in this work (c) the MPF2021 dataset (d) the Alexandria dataset. (e) Comparative performance metrics of MatterSim across six tasks: energy prediction on MPF-TP and random-TP datasets, phonon properties including max frequency and density of states (DOS), Bulk Modulus, and inverse F1 score in MatBench-Discovery leaderboard. Lower scores indicating superior performance for all tasks.