English

Monte Carlo Simulation of Anisotropic Ising Model Using Metropolis and Wolff Algorithm

Statistical Mechanics 2024-12-31 v1 Materials Science

Abstract

We employ Monte Carlo techniques, utilizing the Metropolis and Wolff algorithms, to investigate phase behavior and phase transitions in anisotropic Ising models. Our study encompasses the thermodynamic properties, evaluating energy, magnetization, specific heat, magnetic susceptibility, magnetic entropy, and the Binder cumulant. Additionally, we examine the impact of external fields on these thermodynamic quantities at different externally applied field values. We accurately determine the critical temperature for various model scenarios by analyzing the Binder cumulant. Our investigations also include an analysis of the hysteresis loop for the model for different an-isotropic cases. In particular, our study presents the magnetocaloric effect, which is the change in temperature of magnetic material when exposed to a changing magnetic field, in the different anisotropic cases of the Ising model.

Keywords

Cite

@article{arxiv.2411.06819,
  title  = {Monte Carlo Simulation of Anisotropic Ising Model Using Metropolis and Wolff Algorithm},
  author = {Basit Iqbal and Kingshuk Sarkar},
  journal= {arXiv preprint arXiv:2411.06819},
  year   = {2024}
}

Comments

16 pages, 9 figures

R2 v1 2026-06-28T19:55:18.366Z