M

Monte Carlo

A Pythonic approach to cluster expansions

The code simulates a ferromagnetic system based on the Ising model, which is a classic model in statistical physics. It uses the Metropolis algorithm for Monte Carlo simulations of how the system evolves over time at a specific temperature.

Implementation of the Field(s)supported MultiPhase kinetic Monte Carlo (FsMP/kMC) method [https://doi.org/10.1021/acs.jpcc.1c09086, https://doi.org/10.1039/D2CP03380A, https://doi.org/10.1039/D3CP03955B].

A computational physics coursework repository of:

Non-linear ODE solvers, Lattice Boltzmann Method (LBM), Direct Simulation Monte Carlo (DSMC), Molecular Dynamics (MD)

Possible future directions for HepMC3

FE and FET Library Contains the FE and FET library for general use across a spectrum of applications and industries.

Supported by the ExaScale Computing Project under sub-contract 17-SC-2-SC.

AI playing awale using monte carlo

Monte Carlo simulation of electron avalanches in Argon gas

Modeling diffusion of interacting particles. Model based on the Mean-field theory approach introduced in https://doi.org/10.1103/PhysRevE.92.062118 Application to metal alloys: https://arxiv.org/abs/1904.05799