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

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Iqbal, Basit, Sarkar, Kingshuk
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866917880869683200
author Iqbal, Basit
Sarkar, Kingshuk
author_facet Iqbal, Basit
Sarkar, Kingshuk
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2411_06819
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Monte Carlo Simulation of Anisotropic Ising Model Using Metropolis and Wolff Algorithm
Iqbal, Basit
Sarkar, Kingshuk
Statistical Mechanics
Materials Science
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.
title Monte Carlo Simulation of Anisotropic Ising Model Using Metropolis and Wolff Algorithm
topic Statistical Mechanics
Materials Science
url https://arxiv.org/abs/2411.06819