Simulation Methods in Statistical Physics

The course covers simulation methods in statistical physics applied to, amongst others classical fluids and spin systems. The course provides a theoretical basis as well as practical experience with application of molecular-dynamics and Monte-Carlo simulations.

You will get hands on experience with simulation methods and a theoretical understanding in statistical physics. You will employ and expand your programing skills in developing code for molecular dynamics simulations and Monte Carlo simulations of a noble gas fluid.

This is a second cycle course given at full speed during daytime. This course can also be taken as a third cycle course.  


Teaching Format

The teaching consists of seminars and compulsary computer-based exercises.


Assessment

The course is examined through written tests during the course and a final written exam, as well as through written reports on the computer-based exercises.

Examiner

Michael Odelius

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.

Understanding Molecular Simulation : From Algorithms to Applications, Daan Frenkel, San Diego Elsevier Science & Technology 2023, ISBN 0323902928 or 0-323-91318-0.

Course reports are displayed for the three most recent course instances.







Course coordinator and teacher

Thomas Schnappinger, e-mail: thomas.schnappinger@fysik.su.se

Academic advisor

studievagledare@fysik.su.se

Student office

studentexp@fysik.su.se

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