4.7 Article

Systematic Evaluation of Counterpoise Correction in Density Functional Theory

Journal

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Volume 18, Issue 11, Pages 6742-6756

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jctc.2c00883

Keywords

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Funding

  1. U.S. Department of Energy, Office of Basic Energy Sciences, Division of Chemical Sciences, Geosciences, and Biosciences
  2. [DE-SC0008550]

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This study systematically assesses the counterpoise (CP) procedure in density functional theory and finds that nearly complete-basis quality intermolecular interaction energies can be obtained using only double-zeta basis sets with CP correction. CP-corrected interaction energies are less sensitive to the presence of diffuse basis functions, which is important for large systems.
A widespread belief persists that the Boys-Bernardi function counterpoise (CP) procedure overcorrects supramolecular interaction energies for the effects of basis-set superposition error. To the extent that this is true for correlated wave function methods, it is usually an artifact of low-quality basis sets. The question has not been considered systematically in the context of density functional theory, however, where basis-set convergence is generally less problematic. We present a systematic assessment of the CP procedure for a representative set of functionals and basis sets, considering both benchmark data sets of small dimers and larger supramolecular complexes. The latter include layered composite polymers with similar to 150 atoms and ligand-protein models with similar to 300 atoms. Provided that CP correction is used, we find that intermolecular interaction energies of nearly complete-basis quality can be obtained using only double-zeta basis sets. This is less expensive as compared to triple-zeta basis sets without CP correction. CP-corrected interaction energies are less sensitive to the presence of diffuse basis functions as compared to uncorrected energies, which is important because diffuse functions are expensive and often numerically problematic for large systems. Our results upend the conventional wisdom that CP overcorrects for basis-set incompleteness. In small basis sets, CP correction is mandatory in order to demonstrate that the results do not rest on error cancellation.

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