SI3080 Computational Physics 7.5 credits
Simulation methods, mainly Monte Carlo and molecular dynamics.
Educational levelThird cycle
Academic level (A-D)D
At present this course is not scheduled to be offered.
After completed course, the PhD student should be able to:
- identify the difference between simulations and other approximative and analytical methods.
- perform simulations and computations with available programs.
- write simple programs and make modifications of available programs.
- describe the importance and limitations of a number of basic models with very broad applicability.
- critically judge published results taking into account the limitations of the models and the statistical nature of several of the methods.
Course main content
The Monte Carlo and molecular dynamics methods. Simulations in different statistical mechanical ensembles. Computation of free energies. Stochastic dynamics. Applications to spin systems, fluids, polymers, and biological macromolecules.
Statistical mechanics and quantum mechanics, quantum physics, and some familiarity with computers and computer programming.
M.P. Allen and D.J. Tildesley, Computer simulations of liquids and own material.
Requirements for final grade
Computer assignments. Written exercises.
Anatoly Belonoshko <email@example.com>
Course plan valid from: Spring 09.