Faculté de physique et ingénierie

Computational project

  • Cours (CM) -
  • Cours intégrés (CI) -
  • Travaux dirigés (TD) -
  • Travaux pratiques (TP) -
  • Travail étudiant (TE) -

Langue de l'enseignement : Français

Description du contenu de l'enseignement

Basic tools for modeling and numerical simulations : • Monte Carlo method for condensed matter • Solving the Schroedinger equation • Poisson equation in finite elements • Molecular Dynamics • Tight binding models for electronic structure of solids.
 

Compétences à acquérir

The objectives of this computational physics course is to provide students with the basic tools for modeling and numerical simulations: knowledge of the basis of Linux operating system, know how to model physicochemical phenomena, know how to transform the equations resulting from modeling into algorithms to solve them numerically. In particular, teach numerical methods to (1) minimize functions& functionals, (2) integrate differential equations and (3) diagonalize matrices. The student learns also how to develop & compile (where applicable) computer codes that allow numerical resolution of problems.
 

Contact

Responsable


MASTER - Physique

Établissement associé de l'Université de Strasbourg
Fondation Université de Strasbourg
Investissements d'Avenir
Ligue européenne des universités de recherche (LERU)
EUCOR, Le Campus européen
CNRS
Inserm Grand Est
HRS4R