MSE-639 / 2 crédits

Enseignant: Ceriotti Michele

Langue: Anglais


Frequency

Every 2 years

Summary

The course gives an overview of atomistic simulation methods, combining theoretical lectures and hands-on sessions. It covers the basics (molecular dynamics and monte carlo sampling) and also more advanced topics (accelerated sampling of rare events, and non-linear dimensionality reduction).

Content

Keywords

Introductory knowledge of statistical mechanics and probability, basic programming skills preferably in FORTRAN.  Some familiarity with working in a Linux environment is preferable.  

Learning Prerequisites

Recommended courses

Introductory knowledge of statistical mechanics and probability, basic programming skills,
preferably in FORTRAN or Python

Assessment methods

Project report

Resources

Websites

Dans les plans d'études

  • Nombre de places: 25
  • Forme de l'examen: Rapport de TP (session libre)
  • Matière examinée: Statistical methods in atomistic computer simulations
  • Cours: 14 Heure(s)
  • TP: 14 Heure(s)

Semaine de référence