Syllabus
About Monte Carlo methods
Random number generators
Elements of Statistical Physics, Stochastic Processes and Critical Phenomena
Brownian dynamics
Monte Carlo methods
The Ising model
Metropolis and Glauber dynamics MC for the Ising model
The BKL algorithm (grain growth, kinetic Monte Carlo methods)
Cluster algorithms (Swensen and Wang algorithm)
The histogram Monte Carlo method
Microcanonical Monte Carlo
Quantum Monte Carlo methods
Frustated systems, spin-glasses
Application of MC methods in wetting, crack formation, deposition of atoms on surfaces, grain growth, random networks…..
Discussion and presentation of research projects