Exchange parameters of strongly correlated materials: extraction from spin-polarised density functional theory plus dynamical mean field theory
Y.O. Kvashnin, O. Gr{\aa}n\"as, I. Di Marco, M.I. Katsnelson, A.I., Lichtenstein, O. Eriksson

TL;DR
This paper introduces a first-principles numerical scheme combining DFT+DMFT to accurately extract inter-atomic exchange parameters in strongly correlated materials, revealing how dynamical correlations influence magnetic interactions.
Contribution
The authors develop a unified computational framework for calculating exchange parameters using DFT+DMFT, accounting for dynamical electron correlations in strongly correlated systems.
Findings
Minor renormalization of exchange interactions in bcc Fe with dynamical correlations.
Adequate description of exchange interactions in NiO by static and dynamical mean-field methods.
Reproduction of Gd multiplet structure using Hubbard-I approximation for 4f states.
Abstract
In this paper we present an accurate numerical scheme for extracting inter-atomic exchange parameters () of strongly correlated systems, based on first-principles full-potential electronic structure theory. The electronic structure is modelled with the help of a full-potential linear muffin-tin orbital method. The effects of strong electron correlations are considered within the charge self-consistent density functional theory plus dynamical mean-field theory (DFT+DMFT). The exchange parameters are then extracted using the magnetic force theorem, hence all the calculations are performed within a single computational framework. The method allows to investigate how the -parameters are affected by dynamical electron correlations. In addition to describing the formalism and details of the implementation, we also present magnetic properties of a few commonly discussed…
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Taxonomy
TopicsMagnetic and transport properties of perovskites and related materials · Advanced Condensed Matter Physics · Advanced Chemical Physics Studies
