Explicitly correlated double hybrid DFT: a comprehensive analysis of the basis set convergence on the GMTKN55 database

TL;DR

This paper demonstrates that explicitly correlated F12 methods significantly improve basis set convergence in double-hybrid density functional theory, enabling accurate results with smaller basis sets on the GMTKN55 benchmark.

Contribution

It provides a comprehensive analysis of basis set convergence for DHDFT and DHDFT-F12, showing F12 accelerates convergence and reduces computational costs.

Findings

F12 accelerates basis set convergence of DHDFs

cc-pVDZ-F12 basis set achieves near basis set limit accuracy

DHDF-F12/VDZ-F12 reduces basis set size requirements

Abstract

Double-hybrid density functional theory (DHDFT) offers a pathway to accuracies approaching composite wavefunction approaches like G4 theory. However, the GLPT2 (G{\"o}rling 2nd order perturbation theory) term causes them to partially inherit the slow $\propto L^{-3}$ (with $L$ the maximum angular momentum) basis set convergence of correlated wavefunction methods. This could potentially be remedied by introducing F12 explicit correlation: we investigate the basis set convergence of both DHDFT and DHDFT-F12 for the large and chemically diverse GMTKN55 (general main-group thermochemistry, kinetics, and noncovalent interactions) benchmark suite. The B2GP-PLYP-D3(BJ) and revDSD-PBEP86-D4 double hybrid density functionals (DHDFs) are investigated as test cases, together with orbital basis sets as large as aug-cc-pV5Z and F12 basis sets as large as cc-pV(Q+d)Z-F12. We show that F12 greatly accelerates basis set convergence of DHDFs, to the point that even the modest cc-pVDZ-F12 basis set is closer to the basis set limit than cc-pV(Q+d)Z or def2-QZVPP in orbital-based approaches, and in fact comparable in quality to cc-pV(5+d)Z. Somewhat surprisingly, aug-cc-pVDZ-F12 is not required even for the anionic subsets. In conclusion, DHDF-F12/VDZ-F12 eliminates concerns about basis set convergence in both the development and application of double-hybrid functionals. Mass storage and I/O bottlenecks for larger systems can be circumvented by localized pair natural orbital approximations, which also exhibit much gentler system size scaling.