Magnetic Phase Transitions in Lattice Configurations Modelled by the 2D Ising Model and MCMC Methods.
This repository contains the report, presentation, and supporting scripts for the project presented by Ryan Sfeila, Paul Mathiot, and Andrey Pillay for the PHY204 - Classical Electrodynamics Bachelor Program course directed by Professor Arnaud Couairon at École Polyetchnique. The report and presentation can be found in the PHY204 Project Files -> Report and Presentation directory, and all supporting documents can be found in their respective sub-directories in PHY204 Project Files.
Throughout this project, we investigate the properties and behaviors of simple magnetic systems using a 2D Ising model and the metropolis move method, an example of Monte-Carlo Markov Chain algorithms. By simulating lattice configurations and incorporating notions from statistical physics and thermodynamics, we explore key concepts such as Curie’s law of paramagnetism, spontaneous magnetization, and the lattice’s response to external fields and temperature variations. We are particularly interested in recovering evidence of phase transition analogous to the predicted shift from paramagnetic to ferromagnetic character when nearing the Curie temperature of certain materials.
All relevant information is outlined in the report, which we strongly encourage the reader to refer to.
If you use this report or the provided scripts in your research, please cite them using the following metadata.
@misc{sfeila_pillay_mathiot_2024,
author = {Ryan Sfeila and Andrey Pillay and Paul Mathiot},
title = {Magnetic Phase Transitions in Lattice Magnet Configurations Modelled by the 2D Ising Model and Monte-Carlo Markov Chain Algorithms},
year = {2024},
month = {May},
institution = {École Polytechnique},
supervisor = {Arnaud Couairon},
url = {https://github.com/sfeilaryan/Ising-Model-MCMC-Algorithms-and-Magnetic-Phase-Change},
license = {BSD-3-Clause}
}All authors were involved in the development of the basic simulation algorithms and Metropolis-Hasting protocols. Pillay and Mathiot were in charge of generating the essential data analysis used to demonstrate the results of this project as well as the simulation algorithms. Pillay was heavily involved in ensuring the integrity of all the data collection algorithms and further developed the code for the continuous version of the model. Mathiot was particularly involved in the description of the collected results and bringing them into the theoretical context. Sfeila was in charge of establishing all the necessary theory and supporting knowledge regarding both the 2D Ising model as a mathematical problem as well as its specific meaning in the project’s context, namely the Helmholtz free energy and its central role in dictating spontaneous process and the discontinuities of which correspond to the sought phase transitions. Sfeila was also in charge of the additional material regarding the simulation improvements by considering system autocorrelation and the convergence of the Markov chain’s probability distribution to a stationary distribution.
Ryan Sfeila - Author - Email: [email protected]
Paul Mathiot - Author - Email: [email protected]
Andrey Pillay - Author - Email: [email protected]
Arnaud Couairon - Professor & Project Supervisor - Email: [email protected]