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Review
. 2023 Jan 5;13(2):238.
doi: 10.3390/nano13020238.

Methods of Modeling of Strongly Correlated Electron Systems

Affiliations
Review

Methods of Modeling of Strongly Correlated Electron Systems

Roman Kuzian. Nanomaterials (Basel). .

Abstract

The discovery of high-Tc superconductivity in cuprates in 1986 moved strongly correlated systems from exotic worlds interesting only for pure theorists to the focus of solid-state research. In recent decades, the majority of hot topics in condensed matter physics (high-Tc superconductivity, colossal magnetoresistance, multiferroicity, ferromagnetism in diluted magnetic semiconductors, etc.) have been related to strongly correlated transition metal compounds. The highly successful electronic structure calculations based on density functional theory lose their predictive power when applied to such compounds. It is necessary to go beyond the mean field approximation and use the many-body theory. The methods and models that were developed for the description of strongly correlated systems are reviewed together with the examples of response function calculations that are needed for the interpretation of experimental information (inelastic neutron scattering, optical conductivity, resonant inelastic X-ray scattering, electron energy loss spectroscopy, angle-resolved photoemission, electron spin resonance, and magnetic and magnetoelectric properties). The peculiarities of (quasi-) 0-, 1-, 2-, and 3- dimensional systems are discussed.

Keywords: Anderson model; Hubbard model; Löwdin downfolding; Schrieffer–Wolff transform; canonical transform; charge-transfer insulators; cuprates; strongly correlated solids.

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Conflict of interest statement

The author declares no conflict of interest.

Figures

Figure 1
Figure 1
Mean field description of hydrogen molecule electronic structure.
Figure 2
Figure 2
Description of the hydrogen molecule in the Heitler–London approach (account of correlations).
Figure 3
Figure 3
Optical conductivity Reσ(ω+i0,T) (20) for the model (9).
Figure 4
Figure 4
Optical weight W3g(T)/W3g(0) (23) for various values of the Hamiltonian (9) parameters.
Figure 5
Figure 5
Energy level scheme in a “Cu-O-Cu” molecule.
Figure 6
Figure 6
Scheme of sd, ZRS1, and sp states (27)–(30) in a “Cu-O-Cu” molecule.
Figure 7
Figure 7
Scheme of td and ZRT states (33),(34) in a “Cu-O-Cu” molecule.
Figure 8
Figure 8
RIXS for sd (left) and td (right) starting states in a “Cu-O-Cu” molecule.
Figure 9
Figure 9
XAS spectrum in a “Cu-O-Cu” molecule. Arrows show the input X-ray frequencies.
Figure 10
Figure 10
T-dependence of RIXS spectra in a “Cu-O-Cu” molecule for two input frequencies.
Figure 11
Figure 11
T-dependence of XAS spectrum in a “Cu-O-Cu” molecule.
Figure 12
Figure 12
Basis of the five-band pd model for a CuO2 chain.
Figure 13
Figure 13
Scheme of the building of a microscopic model for a description of a specific material.

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