Performance Improvement of Deorbitalized Exchange-Correlation Functionals
H. Francisco, B. Thapa, S. B. Trickey, A. C. Cancio
TL;DR
This paper tackles the computational and numerical challenges of deorbitalizing meta-GGA exchange-correlation functionals by replacing $\tau_{\rm S}$ with a Laplacian-inclusive semi-local description, producing a local KS potential. It introduces smooth, constraint-respecting deorbitalizers (CR-based, RPP-derived, notably SRPP and SRPP2) and applies them to $r^2$SCAN to assess accuracy and solid-state timing, finding substantial per-cycle speedups and improved potential smoothness for solids, with competitive molecular performance. The study demonstrates that smoothing mitigates the latently problematic oscillations tied to $\nabla^2 n$ while preserving many key constraints, leading to faster and more reliable solid-state calculations, though AIMD presents remaining stability challenges. Overall, the work provides a practical path toward efficient deorbitalized meta-GGAs, offering guidance on when and how to pursue Laplacian-based functionals and highlighting areas for further optimization in switching schemes and MD-enabled workflows.
Abstract
Deorbitalization of a conventional meta-generalized-gradient exchange-correlation approximation replaces its dependence upon the Kohn-Sham kinetic energy density with a dependence on the density gradient and Laplacian. In principle, that simplification should provide improved computational performance relative to the original meta-GGA form because of the shift from an orbital-dependent generalized Kohn-Sham potential to a true KS local potential. Often that prospective gain is lost because of problematic roughness in the density caused by the density Laplacian and consequent roughness in the exchange-correlation potential from the resulting higher-order spatial derivatives of the density in it. We address the problem by constructing a deorbitalizer based on the RPP deorbitalizer [Phys. Rev. Mater. 6, 083803 (2022)] with comparative smoothness of the potential along with retention of constraint satisfaction as design goals. Applied to the r^2SCAN exchange-correlation functional [J. Phys. Chem. Lett. 11, 8208 (2020)], we find substantial timing improvements for solid-state calculations over both r^2SCAN and its earlier deorbitalization for high precision calculations of structural properties, while improving upon the accuracy of RPP deorbitalization for both solids and molecules.
