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End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

NeurIPS 2018 · Probabilistic and scientific modeling › Molecules and proteins · approach: Machine-learned interatomic potentials · 218 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
replace DeePMD with smooth symmetry-preserving DeepPot-SEPES model · MD17 Aspirinforce MAE: 19.1 -> 12.1Helped
replace DeePMD with DeepPot-SEPES model · CoCrFeMnNi HEA unseen occupationsenergy RMSE: 21.7 -> 5.29Helped
replace DeePMD with DeepPot-SEPES model · MoS2 slabenergy RMSE: 17.2 -> 5.26Helped
replace DeePMD with DeepPot-SEPES model · pyridineenergy RMSE: 0.43 -> 0.65Hurt
DeepPot-SE vs SchNetPES model · MD17 moleculesenergy/force MAE: 5.2 -> 6.7Hurt
train one unified model for all molecules instead of individual models (ablation)DeepPot-SE · MD17 Aspirinenergy MAE: 6.7 -> 10.2Hurt

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