Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/112051
Title: Monte Carlo Simulation of a Model Cuprate
Authors: Panov, Yu. D.
Moskvin, A. S.
Chikov, A. A.
Ulitko, V. A.
Issue Date: 2021
Publisher: IOP Publishing Ltd
IOP Publishing
Citation: Monte Carlo Simulation of a Model Cuprate / Yu. D. Panov, A. S. Moskvin, A. A. Chikov et al. // Journal of Physics: Conference Series. — 2021. — Vol. 2043. — Iss. 1. — 012007.
Abstract: We develop a classical Monte Carlo algorithm based on a quasi-classical approximation for a pseudospin S = 1 Hamiltonian in real space to construct a phase diagram of a model cuprate with a high Tc. A model description takes into account both local and nonlocal correlations, Heisenberg spin-exchange interaction, correlated single-particle, and two-particle transport. We formulate a state selection algorithm for a given parameterization of the wave function in order to ensure a uniform distribution of states in the phase space. The simulation results show a qualitative agreement with the experimental phase diagrams. © 2021 Institute of Physics Publishing. All rights reserved.
Keywords: APPROXIMATION ALGORITHMS
COPPER COMPOUNDS
INTELLIGENT SYSTEMS
MONTE CARLO METHODS
PHASE SPACE METHODS
WAVE FUNCTIONS
CLASSICAL APPROXIMATION
CUPRATES
HEISENBERG SPINS
LOCAL CORRELATIONS
MODEL DESCRIPTION
MONTE CARLO ALGORITHMS
MONTE CARLO'S SIMULATION
NONLOCAL CORRELATIONS
PSEUDOSPIN
REAL-SPACE
PHASE DIAGRAMS
URI: http://elar.urfu.ru/handle/10995/112051
Access: info:eu-repo/semantics/openAccess
Conference name: 7th International Workshop on Numerical Modelling of High Temperature Superconductors, HTS 2021
Conference date: 22 June 2021 through 23 June 2021
SCOPUS ID: 85119265755
PURE ID: 28949233
ISSN: 1742-6588
DOI: 10.1088/1742-6596/2043/1/012007
Sponsorship: The research was supported by the Ministry of Education and Science of the Russian Federation, project FEUZ-2020-0054, and by scholarship of the president of the Russian Federation No. SP-2278.2019.1.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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