Corrected Density Functional Theory and the Random Phase Approximation: Improved Accuracy at Little Extra Cost

Abstract

We recently introduced an efficient methodology to perform density-corrected Hartree-Fock density functional theory (DC(HF)-DFT) calculations and an extension to it we called "corrected" HF DFT (C(HF)-DFT). In this work, we take a further step and combine C(HF)-DFT, augmented with a straightforward orbital energy correction, with the random phase approximation (RPA). We refer to the resulting methodology as corrected HF RPA (C(HF)-RPA). We evaluate the proposed methodology across various RPA methods: direct RPA (dRPA), RPA with an approximate exchange kernel (RPA-AXK), and RPA with second-order screened exchange (RPA-SOSEX). C(HF)-dRPA, in particular, demonstrates very promising performance; for RPA with exchange methods we find over-corrections for certain chemical problems.

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Cited by in corpus (1)

• Translational eigenstates of He@C${}_{60}$ from four-dimensional \textit{ab initio} Potential Energy Surfaces interpolated using Gaussian Process Regression