Accueil / Master 2 / Physique, concepts et applications / Cours / To Ex M2 P / Période 3a - CPMC & PHE / Computational statistical physics

Computational statistical physics

Informations pratiques

Discipline :


Niveau :

Master 2

Semestre :


Crédits ECTS :


Volume Horaire :

24h Cours
12h TD

Responsable :

Ralf Everaers

École Normale Supérieure de Lyon, Laboratoire de Physique.

Intervenants :

Ralf Everaers
Daniel Jost

Language of instruction

The course will be taught in english. Les questions en français sont bienvenues.


Statistical Physics deals with behavior that emerges from the interactions of many particles. Since exact analytical solutions of the governing equations only exist for a small number of models, computer simulations have become an indispensable tool in the field.


• Monte Carlo techniques for phase transitions and critical phenomena

• Path Integral Monte Carlo and Bose Einstein condensation

• Lattice gas automata and Lattice Boltzmann models of fluid flow


• Frenkel and Smit, Understanding Molecular Simulation

• Landau and Binder, A Guide to Monte Carlo Simulations in Statistical Physics

• Krauth, Algorithms and Computations

Course prerequisites

Physique statistique L3 and M1

Physique numérique L3