Model for exfoliation_energy
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 63.769 | JARVIS | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 42.7554 | UofT | 812 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 49.5104 | Matminer | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 87.3891 | kgcnn | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
matformer | dft_3d | 51.661 | JARVIS | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 52.7033 | CGCNN | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 43.895 | kgcnn | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 68.2435 | kgcnn | 812 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 40.887 | UofT | 812 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 62.1169 | JARVIS | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 46.272 | kgcnn | 812 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 52.7033 | ALIGNN | 812 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 47.6979 | kgcnn | 812 | 05-06-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 46.1517 | kgcnn | 812 | 05-06-2023 | CSV, JSON, run.sh, Info |
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