Metropolis Algorithm for a 2D Ising Model
Published:
| MSc Advanced Computational Project | Oct 2022 – Feb 2023 |
Numerically simulated a 2D Ising model to visualize second-order phase transitions. Implemented the Metropolis algorithm of the Markov chain Monte Carlo (MCMC) method with importance sampling and single-flip dynamics in Python, and estimated the ferromagnetic critical temperature for spontaneous magnetization from observables.
Tools: Python, Monte Carlo Simulation, Statistical Physics