Journal Article10.1021/acs.jctc.3c00270
Accurate Calculation of Isomerization and Conformational Energies of Larger Molecules Using Explicitly Correlated Local Coupled Cluster Methods in Molpro and ORCA
Hans‐Joachim Werner,Andreas Hansen +1 more
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TL;DR: Explicitly correlated local coupled cluster methods PNO-LCCSD(T)-F12 and DLPNO-CCSD(T)F12 provide accurate isomerization and conformational energies of larger molecules. The methods are implemented in Molpro and ORCA programs and offer options to select different domains of projected atomic orbitals, pair natural orbitals, and triples natural orbitals. Large intramolecular basis set superposition effects necessitate the inclusion of explicitly correlated terms to achieve accurate CBS limits. The PNO-LCCSD(T)-F12 method is applied to determine new reference energies for benchmark sets, demonstrating its accuracy and efficiency.
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Abstract: An overview of the approximations in the explicitly correlated local coupled cluster methods PNO-LCCSD(T)-F12 in Molpro and DLPNO-CCSD(T)F12 in ORCA is given. Options to select the domains of projected atomic orbitals (PAOs), pair natural orbitals (PNOs), and triples natural orbitals (TNOs) in both programs are described and compared in detail. The two programs are applied to compute isomerization and conformational energies of the ISOL24 and ACONFL test sets, where the former is part of the GMTKN55 benchmark suite. Thorough studies of basis set effects are presented for selected systems. These revealed large intramolecular basis set superposition effects that make it practically impossible to reliably determine the complete basis set (CBS) limits without including explicitly correlated terms. The latter strongly reduce the basis set dependence and at the same time also errors caused by the local domain approximations. On the basis of these studies, the PNO-LCCSD(T)-F12 method is applied to determine new reference energies for the above-mentioned benchmark sets. We are confident that our results should agree within a few tenths of a kcal mol–1 with the (unknown) CCSD(T)/CBS values, which therefore allowed us to define computational settings for accurate explicitly correlated local coupled cluster methods with moderate computational effort. With these protocols, especially PNO-LCCSD(T)-F12b/AVTZ′, reliable reference values for comprehensive benchmark sets can be generated efficiently. This can significantly advance the development and evaluation of the performance of approximate electronic structure methods, especially improved density functional approximations or machine learning approaches.
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