Part 1:
Molecular Dynamics (MD)
Steps of an MD simulation
Integrating the equation of motion - Liouville
formalism
Force Fields
Some MD tricks
Calculation of Physical Properties
Linear Response Theory
Canonical ensemble MD: extended system methods
Part 2:
Classical Monte Carlo Methods
Pseudo Random numbers
Probability distribution functions
Metropolis algorithm
(Magnetism: The Ising model)
Part 3:
Quantum Monte Carlo Methods
Variational Monte Carlo
Diffusion Monte Carlo
Excited states and the Fermion sign problem
(Excited states and ill-posed inverse problems)
The contents of the lecture may be subject to minor changes. You
will work on 2 projects, each
consisting of (i) writing a program, (ii)
conducting 'experiments' with the program and obtaining results,
and (iii) writing a report about it.
The final grade for the lecture and exercise class is based on your 2
written reports and on your
participation in class discussion
part I,II:
M. P. Allen & D. J. Tildesley "Computer
Simulations of Liquids", Oxford Science Pub.
D. Frenkel & B. Smit "Understanding Molecular
Simulation", Academic Press
advanced: D. J. Evans & G. P. Morriss
"Statistical
Mechanics of Nonequilibrium Liquids", Academic Press
M. Griebel et al. "Numerische Simulation in der
Molekueldynamik", Springer
part III:
R. Guardiola in "Microscopic Quantum Many-Body
Theories and their Applications", Lecture
Notes in Physics, Springer
B. L. Hammond et al. "Monte Carlo Methods in Ab
Initio Quantum Chemistry", World Scientific Pub.