GGA-Level Subsystem DFT Achieves Sub-kcal/mol Accuracy Intermolecular Interactions by Mimicking Nonlocal Functionals
Xuecheng Shao, Wenhui Mi, and Michele Pavanello

TL;DR
This paper introduces a GGA-level subsystem DFT functional that mimics nonlocal behavior, achieving sub-kcal/mol accuracy in intermolecular interactions with computational efficiency.
Contribution
A novel GGA nonadditive kinetic energy functional that replicates nonlocal functional behavior while maintaining semilocal computational complexity.
Findings
Reproduces Kohn-Sham DFT and CCSD(T) interaction energies with high accuracy.
Achieves mean absolute deviation below 1 kcal/mol on benchmark sets.
Maintains computational efficiency comparable to semilocal functionals.
Abstract
The key feature of nonlocal kinetic energy functionals is their ability to reduce to the Thomas-Fermi functional in the regions of high density and to the von Weizs\"acker functional in the region of low density/high density gradient. This behavior is crucial when these functionals are employed in subsystem DFT simulations to approximate the nonadditive kinetic energy. We propose a GGA nonadditive kinetic energy functional which mimics the good behavior of nonlocal functionals retaining the computational complexity of typical semilocal functionals. The new functional reproduces Kohn-Sham DFT and benchmark CCSD(T) interaction energies of weakly interacting dimers in the S22-5 and S66 test sets with a mean absolute deviation well below 1 kcal/mol.
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Taxonomy
TopicsAdvanced Chemical Physics Studies · Machine Learning in Materials Science · Superconductivity in MgB2 and Alloys
