Universität Wien FIND

260307 UE Computational Physics II Problem Class (2016S)

5.00 ECTS (2.00 SWS), SPL 26 - Physik
Continuous assessment of course work

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Thursday 10.03. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 17.03. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 07.04. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 14.04. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 21.04. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 28.04. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 12.05. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 19.05. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 02.06. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 09.06. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 16.06. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 23.06. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 1090 Wien
Thursday 30.06. 14:00 - 15:30 Kurt-Gödel-Hörsaal, Boltzmanngasse 5, EG, 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
" Quantum Mechanical Simulations
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. Computational Physics I and II are recommended as a basis for the Computational Physics Laboratory.
Prerequisites: Computational Physics I or equivalent, fundamentals of Statistical Mechanics and Quantum Mechanics, good programming skills.

Assessment and permitted materials

Solution of a representative set of problems

Minimum requirements and assessment criteria

Understanding of the course.

Examination topics

Corresponding to the type of the course.

Reading list

Skriptum zur Vorlesung: http://www.exp.univie.ac.at/cp2
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.


Association in the course directory

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

Last modified: Fr 31.08.2018 08:55