260007 VO Advanced Computational Physics (2021S)
Labels
Registration/Deregistration
Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday
08.03.
13:00 - 14:30
Digital
Wednesday
10.03.
09:00 - 10:30
Digital
Monday
15.03.
13:00 - 14:30
Digital
Wednesday
17.03.
09:00 - 10:30
Digital
Monday
22.03.
13:00 - 14:30
Digital
Wednesday
24.03.
09:00 - 10:30
Digital
Monday
12.04.
13:00 - 14:30
Digital
Wednesday
14.04.
09:00 - 10:30
Digital
Monday
19.04.
13:00 - 14:30
Digital
Wednesday
21.04.
09:00 - 10:30
Digital
Monday
26.04.
13:00 - 14:30
Digital
Wednesday
28.04.
09:00 - 10:30
Digital
Monday
03.05.
13:00 - 14:30
Digital
Wednesday
05.05.
09:00 - 10:30
Digital
Monday
10.05.
13:00 - 14:30
Digital
Wednesday
12.05.
09:00 - 10:30
Digital
Monday
17.05.
13:00 - 14:30
Digital
Wednesday
19.05.
09:00 - 10:30
Digital
Wednesday
26.05.
09:00 - 10:30
Digital
Monday
31.05.
13:00 - 14:30
Digital
Wednesday
02.06.
09:00 - 10:30
Digital
Monday
07.06.
13:00 - 14:30
Digital
Wednesday
09.06.
09:00 - 10:30
Digital
Monday
14.06.
13:00 - 14:30
Digital
Wednesday
16.06.
09:00 - 10:30
Digital
Monday
21.06.
13:00 - 14:30
Digital
Wednesday
23.06.
09:00 - 10:30
Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
The written exam will be conducted in the format of a "digital written exam with exam sheet for download" (to be taken from home). The exam questions will be provided for download on a separate Moodle page for the exam 15 minutes before the official start of the exam. Solutions must be uploaded not later than 30 minutes after the official end of the exam.Registration for the exam is possible via u:space as usual.The exam is in the format of an "open-book exam", i.e. it has to be written independently without anybody else's help, but documents like the lecture notes accompanying the lecture or textbooks may be used. Answers may be written on the print-outs of the provided question sheets or on separate paper.For upload, your hand-written solutions should be digitized with a scanner or photographed with a cell phone. Please upload all your answers in a singe pdf file.
Minimum requirements and assessment criteria
At the exam, at least 50% of the possible points need to be obtained for a positive grade.
Examination topics
Exam topics include all topics of the lecture notes that are treated in the lecture. The lecture notes are available on the Moodle page of the course.
Reading list
M.P. Allen, D.J. Tildesley, Computer Simulation of Liquids, Clarendon Press, Oxford, 1978.
D. Frenkel, B. Smit, Understanding Molecular Simulation, Academic Press, San Diego, 2002.
D.C. Rapaport, The Art of Molecular Dynamics Simulation, Cambridge University Press, 1995.
M. E. Newman, G. T. Barkema, Monte Carlo Methods in Statistical Physics, Clarendon Press, Oxford, 1999.
M. E. Tuckerman, Statistical Mechanics: Theory and Molecular Simulation, Oxford University Press, 2010.
David P. Landau and K. Binder, Monte Carlo Simulations in Statistical Physics, Cambridge University Press, 2009.
D. Frenkel, B. Smit, Understanding Molecular Simulation, Academic Press, San Diego, 2002.
D.C. Rapaport, The Art of Molecular Dynamics Simulation, Cambridge University Press, 1995.
M. E. Newman, G. T. Barkema, Monte Carlo Methods in Statistical Physics, Clarendon Press, Oxford, 1999.
M. E. Tuckerman, Statistical Mechanics: Theory and Molecular Simulation, Oxford University Press, 2010.
David P. Landau and K. Binder, Monte Carlo Simulations in Statistical Physics, Cambridge University Press, 2009.
Association in the course directory
M-CORE 1
Last modified: Fr 12.05.2023 00:21
This course, which aims at depth rather than breadth, offers an introduction to the most important many-body simulation techniques in statistical mechanics and will cover the following topics:
- Monte Carlo simulations
- Molecular Dynamics
- Long-range interactions
" Entropy and free energy
- Rare events
Since the emphasis of the course is on providing practical knowledge, all algorithms are explained in detail and illustrated by sample programs, so that students may readily extend them or write their own code if they wish to. For the same reason, the accompanying problem class is considered an integral part of the course.
Prerequisites: Computational Physics I or equivalent, fundamentals of Statistical Mechanics and Quantum Mechanics, good programming skills.