Classical Monte Carlo algorithm for simulation of a pseudospin model for cuprates
V. A. Ulitko, Yu. D. Panov, A. S. Moskvin

TL;DR
This paper presents a classical Monte Carlo simulation method for a pseudospin model of cuprates, capturing key correlations and interactions, and producing phase diagrams that qualitatively match experimental data.
Contribution
It introduces a novel Monte Carlo algorithm based on the quasi-classical approximation for simulating a complex pseudospin Hamiltonian of cuprates.
Findings
Qualitative agreement of simulated phase diagrams with experiments
Effective incorporation of local and non-local correlations
Conservation of doped charge in simulations
Abstract
A classical Monte Carlo algorithm based on the quasi-classical approximation is applied to the pseudospin Hamiltonian of the model cuprate. The model takes into account both local and non-local correlations, Heisenberg spin-exchange interaction, single-particle and correlated two-particle transfer. We define the state selection rule that gives both the uniform distribution of states in the phase space and the doped charge conservation. The simulation results show a qualitative agreement of a phase diagrams with the experimental ones.
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Taxonomy
TopicsTheoretical and Computational Physics · Physics of Superconductivity and Magnetism · Advanced NMR Techniques and Applications
