Computer Simulations in Many-particle Physics 1
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
12SFMC1 | Z,ZK | 4 | 3+1 | Czech |
- Vztahy:
- During a review of study plans, the course 12PEMC1 can be substituted for the course 12SFMC1.
- Garant předmětu:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Laser Physics and Photonics
- Synopsis:
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Computer simulation types and possibilities, classical continuous and lattice model systems, principles of the Monte Carlo and molecular dynamics methods, the Ising model, model of hard spheres and of Lennard-Jones liquid, realization of simulations and measurement, simulations in various thermodynamic ensembles.
- Requirements:
- Syllabus of lectures:
-
to be translated
1. Introduction: Laboratory and computer experiment, Monte Carlo (MC) and Molecular Dynamics (MD) methods. Description of many-body system, inter-molecular forces, correlation functions.
2. Elementary MC: Mathematical formulation of the problem, naive and importance sampling, Metropolis algorithm, lattice systems, simulation in NPT and NVT ensembles, boundary conditions and technical details, optimization and error estimates. Applications: hard-sphere fluid and Lennard-Jones fluid.
3. Elementary MD: Equations of motion, Verlet a Gear integrators, kinetic coefficients. Applications: particles in homogeneous and radial gravitational field, homogenous Lennard-Jones fluid.
4. Advanced methods: Determination of entropic quantities, measurement of chemical potential, thermodynamic integration, non-Boltzmann sampling of configuration space, phase equilibria, Nosé thermostat for MD.
- Syllabus of tutorials:
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tbd
- Study Objective:
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Knowledge:
Knowledge of physics of many particles.
Skills:
Ability to use particle simulations.
- Study materials:
-
Key references:
[1] I. Nezbeda, J. Kolafa, M. Kotrla, Úvod do počítačových simulací: Metody Monte Carlo a molekuární dynamiky, Karolinum, Praha, 2003.
[2] D. Landau, K. Binder, A Guide to Monte Carlo Simulations in Statistical Physics, Cambridge University Press, 2002.
[3] D. Frenkel, B. Smit, Understanding molecular simulation, Academic Press, San Diego, USA, 2002.
Recommended references:
[4] M.E.J. Newman, G.T. Barkema, Monte Carlo Methods in Statistical Physics, Oxford University Press, 2002.
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- Fyzika a technika termojaderné fúze (elective course)
- Fyzika plazmatu a termojaderné fúze (elective course)
- Fyzikální elektronika - Počítačová fyzika (elective course)