Total Energy Prediction on MD17 (test)
0.0211Energy Error: BenzeneSCD (force-denoise)
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| SCD (force-denoise)Architecture=CT-small, Pretraining dataset=PCQ2026.03 | 0.0211 | 0.0184 | 0.0417 | 0.029 | 0.0705 | 0.028 | 0.0193 | 0.0156 | |
| SCDArchitecture=CT-small, Pretraining dataset=PCQ2026.03 | 0.0274 | 0.0181 | 0.0432 | 0.0286 | 0.0742 | 0.0286 | 0.019 | 0.0163 | |
| DTNNN=50,000, trained_on=energy2017.12 | 0.04 | 0.18 | 0.19 | 0.41 | — | — | — | — | |
| BaselineArchitecture=ET-small, Pretraining dataset=none2026.03 | 0.058 | 0.074 | 0.077 | 0.093 | 0.123 | 0.052 | 0.09 | 0.085 | |
| GDMLN=1,000, trained_on=forces2017.12 | 0.07 | 0.12 | 0.16 | 0.12 | 0.27 | 0.15 | 0.11 | 0.12 | |
| SchNetN=50,000, trained_on=energy+forces2017.12 | 0.07 | 0.09 | 0.08 | 0.1 | 0.12 | 0.05 | 0.1 | 0.11 | |
| SchNetN=1,000, trained_on=energy+forces2017.12 | 0.08 | 0.12 | 0.13 | 0.2 | 0.37 | 0.08 | 0.14 | 0.16 | |
| SchNetN=50,000, trained_on=energy2017.12 | 0.08 | 0.16 | 0.13 | 0.25 | 0.25 | 0.07 | 0.13 | 0.2 | |
| SchNetN=1,000, trained_on=energy2017.12 | 1.19 | 2.95 | 2.03 | 3.27 | 4.2 | 0.93 | 2.26 | 3.58 |