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. 2017 Dec 12;9(5):1289–1300. doi: 10.1039/c7sc04665k

Summary of the lattice energy prediction scores for pentacene, 5A and 5B (respectively 564, 594 and 936 structures). Our best accuracies on these datasets are estimated from average scores from a 4-fold cross validation (75% of the dataset is used for training). Δ-learning refers to the learning of the difference between W99 and DFT energies.

Dataset MAE [kJ mol−1] RMSE [kJ mol−1] R 2
Pentacene (W99) 0.29 ± 0.03 0.49 ± 0.08 0.979
Pentacene (DFT) 0.48 ± 0.04 0.68 ± 0.04 0.984
Pentacene (Δ) 0.51 ± 0.04 0.70 ± 0.06 0.96
5A (W99) 0.41 ± 0.02 0.59 ± 0.04 0.967
5A (DFT) 0.64 ± 0.03 0.91 ± 0.07 0.930
5A (Δ) 0.59 ± 0.03 0.85 ± 0.06 0.85
5B (W99) 0.98 ± 0.03 1.31 ± 0.03 0.877
5B (DFT) 1.09 ± 0.03 1.44 ± 0.04 0.870
5B (Δ) 0.74 ± 0.04 1.00 ± 0.05 0.83