Model for optb88vdw_bandgap
Model benchmarks
Model name | Dataset |
MAE |
Team name |
Dataset size |
Date submitted |
Notes |
cfid_chem | dft_3d | 0.4057 | JARVIS | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
matminer_rf | dft_3d | 0.1895 | UofT | 55713 | 05-22-2023 | CSV, JSON, run.sh, Info |
matminer_lgbm | dft_3d | 0.2021 | Matminer | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_cgcnn | dft_3d | 0.3015 | kgcnn | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
cgcnn_model | dft_3d | 0.1908 | CGCNN | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_schnet | dft_3d | 0.1932 | kgcnn | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_megnet | dft_3d | 0.146 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
matminer_xgboost | dft_3d | 0.1873 | UofT | 55713 | 05-22-2023 | CSV, JSON, run.sh, Info |
cfid | dft_3d | 0.299 | JARVIS | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coNGN | dft_3d | 0.1267 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
alignn_model | dft_3d | 0.1423 | ALIGNN | 55713 | 01-14-2023 | CSV, JSON, run.sh, Info |
kgcnn_coGN | dft_3d | 0.1219 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
potnet | dft_3d | 0.1246 | DIVE@TAMU | 55713 | 06-02-2023 | CSV, JSON, run.sh, Info |
kgcnn_dimenetPP | dft_3d | 0.2247 | kgcnn | 55713 | 05-06-2023 | CSV, JSON, run.sh, Info |
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