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Computational Statistical Physics
Last Updated: 2026-02-05 15:19:07
Abstract
Computer simulation methods in statistical physics.Classical Monte-Carlo-simulations: finite-size scaling,cluster algorithms, histogram-methods. Molecular dynamics simulations: longrange interactions, Ewald summation, discrete elements, parallelization.
Objective
The lecture will give a deeper insight into computer simulation methods in statistical physics. Thus, it is an ideal continuation of the lecture "Introduction to computational physics" of the winter semester focusing on the following topics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods. Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization.
Content
Computer simulation methods in statistical physics. Classical Monte-Carlo-simulations: finite-size scaling, cluster algorithms, histogram-methods. Molecular dynamics simulations: long range interactions, Ewald summation, discrete elements, parallelization.
General Information
- Language
- English
- Levels
- BSC , DS , MSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 20 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Computational Statistical Physics |
|
2 h weekly |
| exercise | Computational Statistical Physics |
|
2 h weekly |
Offered In
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Mathematics, Computational Science and Engineering (Mathematics, Physics Those who want to register for elective courses in the diploma degree programme im Mathematics, should select these from the range of courses of the Master programme in Mathematics. Those who want to register for core subject and elective courses in the diploma degree programme in Physics, should select these from the range of courses of the Master programme in Physics (Core Courses: Theoretical Physics, Core Courses: Experimental Physics, Electives: Physics and Mathematics). The same holds for seminars and semester projects and papers.)
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Numerical and Applied Mathematics (Weitere Fächer siehe Mathematik Master > Kernfächer und Wahlfächer)
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Application Area (only necessary for MSc in Applied Mathematics)
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Numerical and Applied Mathematics (Weitere Fächer siehe Mathematik Master > Kernfächer und Wahlfächer)
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