Advanced Simulation Methods in Many-particle Systems

The course covers advanced simulation methods in many-particle systems applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis for both basic and advanced techniques as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.

Knowledge:

• Monte-Carlo and molecular dynamics algorithms.
• Approaches for modelling the properties and dynamics of the particles in simulations.
• Basic and advanced methods for speeding up simulations.

Skills:

• Be able to use several tools used in simulation methods in statistical physics.
• Be able to write well-optimised programs for molecular dynamics and Monte Carlo simulations.
• Be able to decide the applicability of different methods of simulating problems within statistical physics.

General Competence: Be able to communicate and present obtained knowledge.

Lectures, seminars, exercises.

Programming project.

If there are less than 4 registered students, the course coordinator will decide whether the course will take place.