English

Combining DFT and Many-Body Methods to Understand Correlated Materials

Strongly Correlated Electrons 2010-07-15 v1

Abstract

The electronic and magnetic properties of many strongly-correlated systems are controlled by a limited number of states, located near the Fermi level and well isolated from the rest of the spectrum. This opens a formal way for combining the methods of first-principles electronic structure calculations, based on the density-functional theory (DFT), with many-body models, formulated in the restricted Hilbert space of states close to the Fermi level. The core of this project is the so-called "realistic modeling" or the construction of the model many-body Hamiltonians entirely from the first principles. Such a construction should be able to go beyond the conventional local-density approximation (LDA), which typically supplements the density-functional theory, and incorporate the physics of Coulomb correlations. It should also provide a transparent physical picture for the low-energy properties of strongly correlated materials. In this review article, we will outline the basic ideas of such a realistic modeling. The entire procedure will be illustrated on the series of examples, including the distorted transition-metal perovskite oxides, the compounds with the inversion symmetry breaking caused by the defects, and the alkali hyperoxide KO2, which can be regarded as an analog of strongly-correlated systems where the localized electrons reside on the molecular orbitals of the O2- dimer. In order to illustrate abilities of the realistic modeling, we will also consider solutions of the obtained low-energy models for a number of systems, and argue that it can be used as a powerful tool for the exploration and understanding of properties of strongly correlated materials.

Keywords

Cite

@article{arxiv.1007.2271,
  title  = {Combining DFT and Many-Body Methods to Understand Correlated Materials},
  author = {I. V. Solovyev},
  journal= {arXiv preprint arXiv:1007.2271},
  year   = {2010}
}

Comments

Topical Review, 65 pages 27 figures

R2 v1 2026-06-21T15:47:53.412Z