Universität Wien

260072 VO Computational Physics II - Simulation (2017S)

5.00 ECTS (4.00 SWS), SPL 26 - Physik
Moodle

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 07.03. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien (Kickoff Class)
  • Thursday 09.03. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 14.03. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 16.03. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 21.03. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 23.03. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 28.03. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 30.03. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 04.04. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 06.04. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 25.04. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 27.04. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 02.05. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 04.05. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 09.05. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 11.05. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 16.05. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 18.05. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 23.05. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 30.05. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 01.06. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 08.06. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 13.06. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 20.06. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Thursday 22.06. 09:30 - 11:00 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien
  • Tuesday 27.06. 11:45 - 13:15 Ernst-Mach-Hörsaal, Boltzmanngasse 5, 2. Stk., 1090 Wien

Information

Aims, contents and method of the course

In one of the major paradigm shifts in physics in the past half century, Computational Physics, the application of purely computer-based methods to the solution of physical problems, has established itself as an independent "third methodology", in addition to the conventional approaches, Experimental and Theoretical Physics. Like its sister disciplines, Computational Physics is a method, rather than a specific subfield of physics, and thus is not limited to any particular area. Applications range from tests of approximate theoretical methods (by providing numerically exact results for well-chosen model systems) to replacement/extension of laboratory experiments to extreme space and time scales or physical conditions. Thanks to the continuous increase in computer power, more and more sophisticated physical models may be simulated in detail and their properties investigated at will.
The second part of this two-semester course, which aims at depth rather than breadth, offers an introduction to the most important many-body simulation techniques in Statistical Mechanics:
" 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.

Assessment and permitted materials

Written exam

Minimum requirements and assessment criteria

Understanding of the contents of the course.

Examination topics

Corresponding to the type 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.

Association in the course directory

MaG 8, MaV 1, LA-Ph212(5)

Last modified: Mo 07.09.2020 15:40