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A short visit on Ising 2D Model

By Damodar Rajbhandari (3187257)

Abstract

<div>This report aims to give a short description of the Ising two dimensional model and an introduction to Monte Carlo simulation. We focused on the magnetization results against temperature. To draw results, we implemented Metropolis Hastings algorithm which helps us to built likely configurations from any arbitary configurations.</div><div>Due to the finite size of our lattice, it is difficult to specify the curie temperature. In order to approximate this temperature, we have used Binder Cumulant for different lattice sizes.</div><div>We assume reader have some basic of probability theory and an everlasting curious.</div><div><br></div

Topics: Computational Physics, Quantum Mechanics, Thermodynamics and Statistical Physics, Ising model, Ferromagnetic Materials, Statistical Mechanics, Python programming language, Object oriented programming, Monte Carlo simulation technique, Metropolis-Hastings
Year: 2017
DOI identifier: 10.6084/m9.figshare.5143543.v1
OAI identifier: oai:figshare.com:article/5143543
Provided by: FigShare
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