Density analysis for estimating the degree of on-site correlation on transition-metal atoms in extended systems
Abstract
In the context of the modified Becke-Johnson (mBJ) potential, we recently underlined that , the average of in the unit cell, has markedly different values in transition-metal oxides and pure transition metals [Tran et al., J. Appl. Phys. 126, 110902 (2019)]. However, since is a constant it is not able to provide local information about a particular atom in the system. Furthermore, while can be used only for periodic bulk solids, a local (i.e., position-dependent) version would allow us to consider also low-dimensional systems and interfaces. Such a local function has been proposed by Rauch et al. [J. Chem. Theory Comput. 16, 2654 (2020)] for the local mBJ potential. Actually, a local version of , or of another similar quantity like the reduced density gradient , could also be used in the framework of other methods. Here, we explored the idea to use such a local function (or ), defined as the average of (or ) over a certain region around a transition-metal atom, to estimate the degree of on-site correlation on this atom. We found a large difference in our correlation estimators between non-correlated and correlated materials, proving its usefulness and reliability. Our estimators can subsequently be used to determine whether or not a Hubbard on-site correction in the DFT+ method should be applied to a particular atom. This is particularly interesting in cases where the degree of correlation of the transition-metal atoms is not clear, like interfaces between correlated and non-correlated materials or oxygen-covered metal surfaces. In such cases, our estimators could also be used for an interpolation of between correlated and non-correlated atoms.
Keywords
Cite
@article{arxiv.2108.07687,
title = {Density analysis for estimating the degree of on-site correlation on transition-metal atoms in extended systems},
author = {Leila Kalantari and Fabien Tran and Peter Blaha},
journal= {arXiv preprint arXiv:2108.07687},
year = {2022}
}