Energy, Force, and Stress Prediction on OMat24 (val)
9.6Energy per AtomeqV2-L
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| eqV2-LSize=Large2026.03 | 9.6 | 43.1 | 2.3 | 0.987 | |
| EquiformerV2-LPrediction method=Direct, Number of parameters=154M2026.04 | 9.6 | 43.1 | — | — | |
| UMA-LSize=Large2026.03 | 9.7 | 43.5 | 2.5 | 0.99 | |
| UMA-LPrediction method=Direct, Number of parameters=700M2026.04 | 9.7 | 43.5 | — | — | |
| EquiformerV3L_max=6, Prediction method=Direct, Gradient fine-tuning=false, Number of parameters=57M2026.04 | 9.8 | 43.1 | — | — | |
| UMA-MSize=Medium2026.03 | 10 | 47.3 | 2.7 | 0.99 | |
| eqV2-MSize=Medium2026.03 | 10 | 44.8 | 2.3 | 0.986 | |
| EquiformerV2-MPrediction method=Direct, Number of parameters=87M2026.04 | 10 | 44.8 | — | — | |
| UMA-MPrediction method=Gradient, Number of parameters=50M2026.04 | 10 | 47.3 | — | — | |
| EquiformerV3L_max=6, Prediction method=Gradient, Gradient fine-tuning=true, Number of parameters=49M2026.04 | 10.1 | 41.6 | — | — | |
| EquiformerV3L_max=4, Prediction method=Gradient, Gradient fine-tuning=true, Number of parameters=30M2026.04 | 10.4 | 43.5 | — | — | |
| EquiformerV3L_max=4, Prediction method=Direct, Gradient fine-tuning=false, Number of parameters=34M2026.04 | 10.5 | 45.7 | — | — | |
| AllScAIP-md-ft-cons.Size=Medium, Variant=ft-cons.2026.03 | 10.7 | 54.3 | 2.7 | 0.98 | |
| eSENPrediction method=Gradient, Number of parameters=30M2026.04 | 10.7 | 47.3 | — | — | |
| eqV2-SSize=Small2026.03 | 11 | 49.2 | 2.4 | 0.985 | |
| EquiformerV2-SPrediction method=Direct, Number of parameters=31M2026.04 | 11 | 49.2 | — | — | |
| UMA-SSize=Small2026.03 | 11.3 | 57.1 | 2.9 | 0.98 | |
| UMA-SPrediction method=Gradient, Number of parameters=6M2026.04 | 11.3 | 57.1 | — | — | |
| AllScAIP-md-d.Size=Medium, Variant=d.2026.03 | 11.4 | 56.6 | — | 0.98 | |
| AllScAIP-sm-ft-cons.Size=Small, Variant=ft-cons.2026.03 | 12.4 | 56 | 2.8 | 0.98 | |
| AllScAIP-sm-d.Size=Small, Variant=d.2026.03 | 12.7 | 60.1 | — | 0.98 |