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Lecturer:
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Reza Ejtehadi
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Room:
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Phys 3
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Time:
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Saturdays 13:00 - 14:30
Mondays 13:00 - 14:30
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Marking:
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Homework and Projects
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50%
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Final Exam
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50%
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Syllabus:
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Stochastic
methods
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Fractals and
Scaling
Surface deposition
Aggregations
Percolation
Random walk
Monte Carlo Integration
Random generators
Monte Carlo simulation (Metropolis Algorithm)
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Deterministic
methods
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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)
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Suggested text books
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Computational Physics,
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Nicholas J. Giordano
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An Introduction to Computer
Simulation Methods Applications to Physical System,
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Jan Tobochnik
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Computer Simulation Methods in
Theoretical Physics,
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Dieter W. Heermann
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A Guide to Monte Carlo Simulations in
Statistical Physics,
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David P Landau, Kurt Binder
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Fractal Concepts in Surface Growth,
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Albert-Laszlo Barabasi, Harry Eugene Stanley
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Introduction to percolation Theory,
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Dietrich Stauffer
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Measure, Topology, and Fractal Geometry,
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Gerald Edgar
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An introduction to computational
physics
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Tao Pang
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Lecture Notes (in Persian)
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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)
Part14 (MD)
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Homework and projects
(Due
time for all homework is One week, unless it is mentioned else)
compphys@physics.....
MD
Questions (All Questions of the second part of the class)
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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)
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