The Folmsbee conformers benchmark (GitHub) is a high-accuracy molecular benchmark that evaluates the accuracy of predicting and ranking conformer relative energies. The benchmark contains 708 subsets of 10 conformers each, 632 of which have energies computed at the DLPNO-CCSD(T) level of theory. DLPNO-CCSD(T) calculations were not finished for 76 subsets, so every level of theory will show at least 76 incomplete subsets. Mean absolute error (MAE) and root mean square error (RMSE) are shown in kcal/mol. See all Folmsbee results.
Name | Incomplete Subsets | Benchmarked By | ||||
---|---|---|---|---|---|---|
ΟB97X-D/def2-TZVP | 0.24 | 0.30 | 0.83 | 0.85 | 80 | link |
B3LYP/def2-TZVP | 0.25 | 0.31 | 0.83 | 0.84 | 76 | link |
B97-3c | 0.30 | 0.37 | 0.80 | 0.82 | 77 | link |
MACE-ANI-CC | 0.32 | 0.40 | 0.77 | 0.79 | 95 | Ari 2025-01-15 |
AIMNet2 (ΟB97M-D3, new) | 0.54 | 0.66 | 0.64 | 0.65 | 76 | Ari 2024-12-20 |
GFN2-xTB | 0.72 | 0.88 | 0.57 | 0.59 | 76 | link |
MACE-MP-0b2(Large)-D3BJ | 0.81 | 1.01 | 0.49 | 0.47 | 115 | Ari 2025-01-15 |
OMat24 eqV2-L | 1.18 | 1.44 | 0.47 | 0.49 | 115 | Ari 2024-12-20 |
MACE-MP-0b2(Large) | 1.08 | 1.33 | 0.46 | 0.37 | 115 | Ari 2025-01-15 |
Orb-d3-v2 | 0.94 | 1.17 | 0.43 | 0.42 | 115 | Ari 2024-12-20 |
Orb-v2 | 1.17 | 1.45 | 0.42 | 0.36 | 115 | Ari 2024-12-20 |
SO3LR | 0.55 | 0.67 | 0.38 | 0.35 | 82 | Ari 2025-01-16 |