Simulationsmethoden I 10 11
W A R N I N G: This page is currently under construction and may contain faulty data.
- Lecture (2 SWS) and Tutorials (1 SWS)
- Prof. Dr. Christian Holm (Lecture); Marcello Sega and Peter Košovan (Tutorials)
- Course language
- Deutsch oder Englisch, wie gewünscht - German or English, by vote
Majority vote was for English!
- Time: Thursdays, 11:30 - 13:00, Room V 57.06
- Time: Wednesday, 17:00-18.30, 2 hours/(every other week)
The lecture is accompanied by hands-on-tutorials which will take place in the CIP-Pool of the ICP, Pfaffenwaldring 27, U 108. They consist of practical exercises at the computer, like small programming tasks, simulations, visualization and data analysis. The tutorials build on each other, therefore continuous attendance is expected.
The course intends to give an overview about modern simulation methods used in physics today. The stress of the lecture will be to introduce different approaches to simulate a problem, hence we will not go too to deep into specific details but rather try to cover a broad range of methods. In more detail, the lecture will consist of:
1. Molecular Dynamics
The first problem that comes to mind when thinking about simulating physics is solving Newtons equations of motion for some particles with given interactions. From that perspective, we first introduce the most common numerical integrators. This approach quickly leads us to Molecular Dynamics (MD) simulations. Many of the complex problems of practical importance require us to take a closer look at statistical properties, ensembles and the macroscopic observables.
The goal is to be able to set up and run real MD simulations for different ensembles and understand and interpret the output.
2. Partial Differential Equations
Some of the most common physical problems today can be formulated with Partial Differential Equations (PDEs). We want to think about what kinds of physical problems can be dealt with PDEs and what methods we have to solve them numerically.
The goal is to get to know the problems you run into when solving these simple-looking equations and to get an overview on the methods available.
3. Quantum mechanical systems
It is obvious that solving quantum mechanical systems analytically is not possible and we need numerical help. We want to introduce various methods like (post-)Hartree-Fock, Density Functional Theory, and Car-Parrinello-Molecular dynamics. We also want to examine the possibilities to simulate the quantum chromodynamics PDEs on a lattice (lattice gauge theory).
The goal is to get an overview on the methods to treat quantum mechanical systems and know about some of the advantages and disadvantages of each method.
4. Monte Carlo Simulations
Since their invention, the importance of Monte Carlo (MC) sampling has grown constantly. Nowadays it is applied to a wide class of problems in modern computational physics. We want to present the general idea and theory behind MC simulations and show some more properties using simple toy models like the Ising-model.
We expect the participants to have basic knowledge in classical and statistical mechanics, thermodynamics, electrodynamics, and partial differential equations, as well as knowledge of a programming language (preferably C or C++).
- 1. Attendance of the exercise classes
- 2. Obtaining 50% of the possible marks in the hand-in exercises
There will be a final grade for the Modul "Simulation Methods" (this modul consists of both lectures, SIm I plus Sim II) determined at the end of lecture Simulation Methods II.
The final grade will be determined in the following way :
1. 50% comes from the marks for the hand-in exercises for both parts of the course (Simulation Methods in Physics I and II) Basis for the grade is the sum of all marks obtained in the tutorials in Sim I plus all accumulated marks of all tutorials in Sim II.
2. The other 50% will be determined in an oral examination performed at (or after) the end of the course Simulation Methods II (SS 2011).
|21.10.2010||Contents, introduction, organisation|
Tutorials (U 108)
- Scheduling of tutorials
- Starting from the 2nd tutorial, they are scheduled every two weeks (see table below). In the week between the tutorials, the tutors will be available to help the students. Since participation is optional, it is recommended that the studendts notify the tutors that they are intending to come and seek their assistance.
- Handing in the solutions
- Approximately 10 days after the tutorial, but no later than Monday 8:00 before the next tutorial. Preferably via e-mail (Text answers and plots in PDF, source code as text files) to the responsible tutor. Alternatively, solutions can be also handed in on paper.
|1.||27.10.2010||T0: First steps with Linux and C|
|2.||3.11.2010||T1: Equations of motion and integrators|
|3.||10.11.2010||Optional (attendance not required)|
|4.||17.11.2010||T2: Molecular Dynamics: Lennard-Jones liquid|
|5.||24.11.2010||Optional (attendance not required)|
|6.||1.12.2010||T3: MD in NVE and NVT ensembles; implementing different thermostats|
|7.||8.12.2010||Optional (attendance not required)|
|8.||15.12.2010||T(4+5): The finite Difference and Finite element methods Numerical Solution of the Schroedinger Equation|
|9.||22.12.2010||Optional (attendance not required)|
|11.||12.1.2011||T6: Simple and importance sampling. Random walks.|
|12.||19.1.2011||Optional (attendance not required)|
|13.||26.1.2011||T7: Monte Carlo-Ising model|
|14.||2.2.2011||Optional (attendance not required)|
|15.||9.2.2011||Discussion of T7, end of the tutorials|
D.P. Landau and K. Binder.