A New Approach for Correcting Noncovalent Interactions in Semiempirical Quantum Mechanical Methods. The Importance of Multiple-Orientation Sampling

TL;DR

This paper introduces PM6-FGC, a correction method for semiempirical quantum mechanics that enhances noncovalent interaction modeling by incorporating multiple orientations in the reference data set.

Contribution

The paper presents a novel correction approach for PM6 that improves noncovalent interaction accuracy by emphasizing multiple orientations during parameter fitting.

Findings

PM6-FGC significantly outperforms uncorrected PM6.

Including multiple orientations in the reference data set improves balance.

The method is adaptable to other semiempirical Hamiltonians.

Abstract

A new approach is presented to improve the performance of semiempirical quantum mechanical (SQM) methods in the description of noncovalent interactions. To show the strategy, the PM6 Hamiltonian was selected, although, in general, the procedure can be applied to other semiempirical Hamiltonians and to different methodologies. In this way, analytical corrections to PM6 were derived from fits to CCSD(T) - PM6 interaction energy differences. A set of small molecules was selected as representative of the common functional groups, and intermolecular potential energy curves were evaluated for the most relevant orientations of interacting molecular pairs. The resulting method, called PM6-FGC (from Functional Group Corrections), significantly improves the performance of PM6 and previous corrected SQM methods, and shows the importance of including a sufficient number of orientations of the interacting molecules in the reference data set in order to obtain well-balanced descriptions.