Computational statistical physics
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 autumn semester. In the first part students learn to apply the following methods: Classical Monte Carlo-simulations, finite-size scaling, cluster algorithms, histogram-methods, renormalization group. Moreover, students learn about the application of statistical physics methods to Boltzmann machines and how to simulate non-equilibrium systems. In the second part, students apply molecular dynamics simulation methods. This part includes long range interactions, Ewald summation and discrete elements.
Teaching assistants: Maximilian Holst [] and Toni Heugel []
Lecture: Fr 08:45 - 10:30 HIT J 51
Exercise class: Fr 10:45 - 12:30 HIT J 51
Course material
- Lecture notes (part 1)
- Lecture notes (part 2)
- Class recordings (ask TAs for password).
Exercises
- General information (Please read this before solving the exercises.)
- Slides 01 Exercise 01 Solution 01 Code
- Slides 02 Exercise 02 Solution 02
- Slides 03 Exercise 03 Solution 03
- Slides 04 Exercise 04 Solution 04
- Slides 05 Exercise 05 Solution 05
- Slides 06 Exercise 06 Solution 06
- Exercise 07 Solution 07 Code
- Exercise 08 Solution 08
- Exercise 09 Solution 09
- Exercise 10 Solution 10
- Exercise 11 Solution 11
- Exercise 12 Solution 12