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SI3080 Computational Physics 7.5 credits

Beräkningsfysik

Simulation methods, mainly Monte Carlo and molecular dynamics.

  • Educational level

    Third cycle

  • Academic level (A-D)

    D

  • Subject area

  • Grade scale

At present this course is not scheduled to be offered.

Learning outcomes

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.

Eligibility

Statistical mechanics and quantum mechanics, quantum physics, and some familiarity with computers and computer programming.

Literature

M.P. Allen and D.J. Tildesley, Computer simulations of liquids and own material.

Examination

Requirements for final grade

Computer assignments. Written exercises.

Offered by

SCI/Theoretical Physics

Contact

Anatoly Belonoshko

Examiner

Anatoly Belonoshko <anatoly@kth.se>

Version

Course plan valid from: Spring 09.