Model for bulk_modulus_JVASP_25065_Li¶
- Description: This is a benchmark to evaluate how accurately an ES model can predict the bulk modulus of Li (JVASP-25065), experimental results are used as a ground truth for comparison and the mean absolute error (MAE) with respect to the experimental value is used as an accuracy metric
Reference(s): https://materialsproject.org/, https://qmcpack.org, https://www.nature.com/articles/s41524-020-00440-1, https://doi.org/10.48550/arXiv.2305.11842, https://journals.aps.org/prb/abstract/10.1103/PhysRevB.98.014107
Model benchmarks
Model name | Dataset | MAE | Team name | Dataset size | Date submitted | Notes |
---|---|---|---|---|---|---|
qmcpack_team__dmc_001 | dft_3d | 0.66 | QMCPACK | 1 | 05-15-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |
vasp_pbe_mp | dft_3d | 0.7 | MP | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |
vasp_optcx13 | dft_3d | 0.0 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |
vasp_optpbe | dft_3d | 1.1 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |
vasp_opt86b | dft_3d | 0.3 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |
vasp_optb88vdw | dft_3d | 0.52 | JARVIS | 1 | 01-14-2023 | CSV, JSON, run.sh, Info, JVASP-25065 |