2023/10/08 by Réka A. Horváth, Horvath, Reka A., Kesha Sorathia +5
Physics and Astronomy · Materials Science · Chemistry · #Advanced Chemical Physics Studies #Machine Learning in Materials Science #Synthesis and Properties of Aromatic Compounds
paper · pdf · doi:10.48550/arxiv.2310.05300
Low-scaling electron correlation theory based on the pair natural orbital approximation, PNO-CCSD(T), has become a powerful computational tool. Motivated by the recent discovery of large errors for organometallic molecules, we assess the role of the model density used to discard unimportant contributions. We find that second-order perturbation theory provides the best compromise between cost and accuracy, but coupling between localised occupied orbitals must be accounted for. Errors in the CCSD energy are then well below 1~kcal/mol, even for molecules with moderate multi-reference character, and the primary remaining source of errors lies in the treatment of the (T) energy contribution.