Fall 2012

 Lecturer: Room: Phys 3 Time: Saturdays 13:00 - 14:30 Mondays 13:00 - 14:30

 TA: Lab time: TBA

Marking:

Homework and Projects

50%

Final Exam

50%

Syllabus:

 Stochastic methods Fractals and Scaling Surface deposition Aggregations Percolation Random walk Monte Carlo Integration Random generators Monte Carlo simulation (Metropolis Algorithm) Deterministic methods Ordinary differential equations Particles trajectory Oscillatory motion Chaotic Dynamics Molecular Dynamics simulations of Many Body systems (NVE) NVT and NPT Molecular Dynamics Discontinuous Molecular Dynamics (DMD)

Suggested text books

 Computational Physics, Nicholas J. Giordano An Introduction to Computer Simulation Methods Applications to Physical System, Jan Tobochnik Computer Simulation Methods in Theoretical Physics, Dieter W. Heermann A Guide to Monte Carlo Simulations in Statistical Physics, David P Landau, Kurt Binder Fractal Concepts in Surface Growth, Albert-Laszlo Barabasi, Harry Eugene Stanley Introduction to percolation Theory, Dietrich Stauffer Measure, Topology, and Fractal Geometry, Gerald Edgar An introduction to computational physics Tao Pang

Lecture Notes (in Persian)

Part1 (Introduction)

MONTE CARLO SIMULATIONS

Part2 (Fractals)

Part3 (Surface growth)

Part4 (Percolation)

Part5 (Random Walk)

Part6 (Random Generators)

Part7 (Monte Carlo Method - Integrals)

Part8 (Monte Carlo Method – Metropolis)

Part9 (NVT Simulations)

Part10 (Ising Model)

MOLECULAR DYNAMICS SIMULATIONS

Part11 (First order differential equations)

Part12 (Second order differential equations)

Part13 (Chaos)

(MD)

Homework and projects
(Due time for all homework is One week, unless it is mentioned else)
compphys@physics.....

(All Questions of the second part of the class)

Bonus  projects
(Due time for all Bonus project is the date of final exam)
compphys@physics.....

B1 (Leonard-Jones Gas)

B2 (Self-Avoiding Random Walk)