Semilocal and Hybrid Meta-Generalized Gradient Approximations Based on the Understanding of the Kinetic-Energy-Density Dependence
Jianwei Sun, Robin Haunschild, Bing Xiao, Ireneusz W. Bulik, Gustavo, E. Scuseria, John P. Perdew

TL;DR
This paper introduces new hybrid and semilocal meta-GGA functionals based on kinetic-energy-density dependence, demonstrating robust performance across various molecular properties and including dispersion corrections.
Contribution
It presents a new set of meta-GGA functionals with empirical parameters, based on a deeper understanding of kinetic-energy-density dependence, advancing density functional theory accuracy.
Findings
Robust performance on heats of formation, barrier heights, and noncovalent interactions.
Development of dispersion-corrected functionals.
Introduction of functionals with varying empirical parameters.
Abstract
We present a global hybrid meta-generalized gradient approximation (meta-GGA) with three empirical parameters, as well as its underlying semilocal meta-GGA and a meta-GGA with only one empirical parameter. All of them are based on the new meta-GGA resulting from the understanding of kinetic-energy-density dependence [J. Chem. Phys. 137, 051101 (2012)]. The obtained functionals show robust performances on the considered molecular systems for the properties of heats of formation, barrier heights, and noncovalent interactions. The pair-wise additive dispersion corrections to the functionals are also presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
