2011
DOI: 10.1103/physrevb.84.115113
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Anderson-Hubbard model with box disorder: Statistical dynamical mean-field theory investigation

Abstract: Strongly correlated electrons with box disorder in high-dimensional lattices are investigated. We apply the statistical dynamical mean-field theory, which treats local correlations non-perturbatively. The incorporation of a finite lattice connectivity allows for the detection of disorder-induced localization via the probability distribution function of the local density of states. We obtain a complete paramagnetic ground state phase diagram and find correlation-induced as well as disorderinduced metal-insulato… Show more

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Cited by 36 publications
(25 citation statements)
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“…A similar linear increase of the critical quasi-disorder for weak repulsion was previously obtained for the Aubry-André model within the self-consistent Hartree-Fock approximation [40]; also the statistical dynamical mean-field theory of Ref. [46] predicts delocalizing effects due to repulsive interaction. It is likely that this linear increase would cease to hold for strong interactions γ 1; this regime is however beyond the scope of this work.…”
Section: Fig 4: (Color Online)supporting
confidence: 78%
“…A similar linear increase of the critical quasi-disorder for weak repulsion was previously obtained for the Aubry-André model within the self-consistent Hartree-Fock approximation [40]; also the statistical dynamical mean-field theory of Ref. [46] predicts delocalizing effects due to repulsive interaction. It is likely that this linear increase would cease to hold for strong interactions γ 1; this regime is however beyond the scope of this work.…”
Section: Fig 4: (Color Online)supporting
confidence: 78%
“…The generalization Equation (A1) was obtained by requiring the known exact asymptotic dependence of the self-energy on frequency in the limit of large frequencies (for details, see [37,63]). The approximation was used by different groups and, despite its limitations, led to encouraging results, even in the case of systems with reduced dimensionality (see, e.g., [64,65]). …”
Section: Discussionmentioning
confidence: 99%
“…To overcome these limitations, DMFT was extended to describe spatially nonuniform systems, in approaches sometimes called "Statistical DMFT" [5][6][7][8][9][10][11][12][13][14][15][16] (some authors call the same approach "Real-Space DMFT" [17][18][19] ). Here, the local DMFT order parameters (i.e.…”
Section: Introductionmentioning
confidence: 99%