Rowan Benchmarks

B3LYP

B3LYP is an ab initio density-functional theory (DFT) method from P. J. Stevens, F. J. Devlin, C. F. Chabalowski, and M. J. Frisch in 1994.

Read the B3LYP paper.

Run B3LYP on Rowan

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B3LYP's GMTKN55 Results

GMTKN55 (download) is a high-accuracy molecular benchmark that measures basic properties, reaction energies, and noncovalent interactions. The GMTKN55 benchmark comprises 55 subsets. Each subset contains a number of relative energy measurements computed at the CCSD(T) level of theory. When viewing subset-level results, the mean absolute deviation/error (MAD/MAE) in kcal/mol is shown. Each subset is assigned a difficulty weight (see Section 4). When viewing category-level results, the weighted total mean absolute deviation (using the WTMAD-2 weights) is shown. See all GMTKN55 results.

NameIncomplete SubsetsBenchmarked By
Ο‰B97M-D3BJ/def2-QZVP2.865.772.344.543.634.04link
B3LYP-D3BJ/def2-QZVP7.9910.164.115.654.826.18link
B97-3c11.9910.519.178.6211.8910.16link
GFN2-xTB20.0219.7713.6624.5811.4418.65link

B3LYP's Folmsbee Results

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.

NameIncomplete SubsetsBenchmarked By
Ο‰B97X-D/def2-TZVP0.240.300.830.8580link
B3LYP/def2-TZVP0.250.310.830.8476link
B97-3c0.300.370.800.8277link
GFN2-xTB0.720.880.570.5976link

B3LYP's TorsionNet206 Results

TorsionNet206 is a high-accuracy molecular benchmark that evaluates the accuracy of predicting and ranking of dihedral energy profiles. The benchmark contains 206 subsets of 24 conformers each computed at the CCSD(T)/def2-TZVP level of theory. Mean absolute error (MAE) and root mean square error (RMSE) are shown in kcal/mol. See all TorsionNet206 results.

NameIncomplete SubsetsBenchmarked By
Ο‰B97M-D3BJ/vDZP0.150.180.990.98C.W.
B97-3c0.350.450.980.97C.W.
B3LYP-D3BJ/6-31G(d)0.570.710.950.94C.W.
GFN2-xTB0.730.910.850.85C.W.