What types of chemical problems benefit from density-corrected DFT? A probe using an extensive and chemically diverse test suite
Golokesh Santra, Jan M. L. Martin

TL;DR
This study evaluates the performance of density-corrected DFT versus self-consistent DFT across a diverse benchmark, revealing where density correction improves accuracy, especially for dynamical correlation, and identifying optimal HF exchange percentages.
Contribution
It provides an extensive analysis of density-corrected DFT on the GMTKN55 benchmark, highlighting the effects of HF exchange and identifying optimal parameters for different functionals.
Findings
HF-DFT benefits noncovalent interaction subsets at low HF exchange.
Static correlation subsets may be harmed by HF-DFT.
Optimal HF exchange percentages vary among functionals, around 25-37.5%.
Abstract
For the large and chemically diverse GMTKN55 benchmark suite, we have studied the performance of density-corrected density functional theory (HF-DFT), compared to self-consistent DFT, for several pure and hybrid GGA and meta-GGA exchange-correlation (XC) functionals (PBE, BLYP, TPSS, SCAN) as a function of the percentage of HF exchange in the hybrid. The D4 empirical dispersion correction has been added throughout. For subsets dominated by dynamical correlation -- particularly noncovalent interaction subsets -- HF-DFT is highly beneficial, particularly at low HF exchange percentages. For subsets with significant static correlation (i.e., where a Hartree-Fock determinant is not a good zero-order wavefunction), HF-DFT may do more harm than good. While the self-consistent series show optima at or near 37.5% (i.e., 3/8) for all four XC functionals -- consistent with Grimme's proposal of the…
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