2008
DOI: 10.1103/physrevb.77.075116
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Single-particle dynamics in the vicinity of the Mott-Hubbard metal-to-insulator transition

Abstract: The single-particle dynamics close to a metal-to-insulator transition induced by strong repulsive interaction between the electrons is investigated. The system is described by a half-filled Hubbard model which is treated by dynamic mean-field theory evaluated by high-resolution dynamic densitymatrix renormalization. We provide theoretical spectra with momentum resolution which facilitate the comparison to photoelectron spectroscopy.

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Cited by 56 publications
(92 citation statements)
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“…With increasing system size N , we observe a shift of the Hubbard side-peak position towards smaller |ω/D| (left inset Fig. 3), as well as a reduction of its height 38,39 . A similar reduction is observed in the height of the quasi-particle peak (right inset in Fig.…”
Section: B Sharp Peaks In the Hubbard Bandsmentioning
confidence: 92%
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“…With increasing system size N , we observe a shift of the Hubbard side-peak position towards smaller |ω/D| (left inset Fig. 3), as well as a reduction of its height 38,39 . A similar reduction is observed in the height of the quasi-particle peak (right inset in Fig.…”
Section: B Sharp Peaks In the Hubbard Bandsmentioning
confidence: 92%
“…in agreement with the DDMRG data of Refs. 38,39,45 , In the NRG study in Ref. 24 the side peak shows narrowing but shrinks quickly when approaching the transition, while in the ED study in Ref.…”
Section: B Sharp Peaks In the Hubbard Bandsmentioning
confidence: 99%
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“…To solve the self-consistency equations different techniques ("impurity solvers") have been developed which are either fully numerical and "numerically exact", or semi-analytic and approximate. The numerical solvers can be divided into renormalization group techniques such as the numerical renormalization group (NRG) [37,38] and the density-matrix renormalization group (DMRG) [39], exact diagonalization (ED) [40][41][42], and methods based on the stochastic sampling of quantum and thermal averages, i.e., quantum Monte-Carlo (QMC) techniques such as the Hirsch-Fye QMC algorithm [32,43,44,33] and continuous-time (CT) QMC [45][46][47].…”
Section: Solution Of the Self-consistency Equations Of The Dmftmentioning
confidence: 99%