This course is a continuation of Computational Physics course (509). It introduces andvanced concepts and algorithms in Computational Condensed Matter Physics and brings students to the active research in Computational Condensed Matter area.

Lectures will be given in "hands on" style only, and students should bring their own laptops to follow the lectures. Latops should run python (including numpy, scipy, weave, matplotlib) and should have C++ (preferably gnu ) and fortran90 (preferably intel) compiler installed.

This course requires familiarity with some basics of programming languages such as Python and C++. It is designed for the student who wishes to broaden his/her knowledge of applications and develop techniques.

Class Time: ARC building (212), 10:20-11:40 on Monday and 12:00-1:20pm on Monday

Instructor:

Kristjan Haule Office: Serin E267 email: haule@physics.rutgers.edu Phone: 445 5500, ext: 3881 Office hours: Monday 4 pm

If you are not yet familiar with Python, or you just want to refresh your memory, check out some of these links:

1. Learn Python in 10 minutes
2. How to Think Like a Computer Scientist: Learning with Python
3. Python for beginners
4. Dive Into Python
5. Code Like a Pythonista: Idiomatic Python
6. Python documentation
7. Python regular expressions
8. Weave (to speed up the Python code)

1. Perturbation theory at low orders
2. Random numbers and multidimensional integration
3. Monte Carlo methods and Simulated Annealing
4. Quantum Monte Carlo methods
5. Continuous Time Quantum Monte Carlo method
6. Dynamical Mean Field Theory for model Hamiltonians
7. Local Density Approximation + Dynamical Mean Field Theory (LDA+DMFT) in action

1. Parallel programming with MPI
2. Density functional theory
3. Molecular dynamics simulation

Students with Disabilities