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Pis'ma v Zhurnal Èksperimental'noi i Teoreticheskoi Fiziki, 2016, Volume 103, Issue 5, Pages 378–384
DOI: https://doi.org/10.7868/S0370274X1605009X
(Mi jetpl4885)
 

This article is cited in 4 scientific papers (total in 4 papers)

CONDENSED MATTER

Electron density of states of Fe-based superconductors: Quantum trajectory Monte Carlo method

V. A. Kashurnikov, A. V. Krasavin, Ya. V. Zhumagulov

National Research Nuclear University MEPhI, Kashirskoe sh. 31, Moscow, 115409, Russia
References:
Abstract: The spectral and total electron densities of states in two-dimensional FeAs clusters, which simulate iron-based superconductors, have been calculated using the generalized quantum Monte Carlo algorithm within the full two-orbital model. Spectra have been reconstructed by solving the integral equation relating the Matsubara Green's function and spectral density by the method combining the gradient descent and Monte Carlo algorithms. The calculations have been performed for clusters with dimensions up to $10 \times 10$ FeAs cells. The profiles of the Fermi surface for the entire Brillouin zone have been presented in the quasiparticle approximation. Data for the total density of states near the Fermi level have been obtained. The effect of the interaction parameter, size of the cluster, and temperature on the spectrum of excitations has been studied.
Funding agency Grant number
Russian Science Foundation 14-22-00098
Received: 13.01.2016
Revised: 01.02.2016
English version:
Journal of Experimental and Theoretical Physics Letters, 2016, Volume 103, Issue 5, Pages 334–340
DOI: https://doi.org/10.1134/S0021364016050052
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. A. Kashurnikov, A. V. Krasavin, Ya. V. Zhumagulov, “Electron density of states of Fe-based superconductors: Quantum trajectory Monte Carlo method”, Pis'ma v Zh. Èksper. Teoret. Fiz., 103:5 (2016), 378–384; JETP Letters, 103:5 (2016), 334–340
Citation in format AMSBIB
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\paper Electron density of states of Fe-based superconductors: Quantum trajectory Monte Carlo method
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  • This publication is cited in the following 4 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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