Computational Physics

619 (Spring 2018)

## general information

Location:MPHYS 109 Time:11:30 - 12:20h (Monday & Wednesday) Lab:15:00 - 17:00h (Wednesday in MPHYS 330A) Instructor:Helmut Katzgraber Office:MPHY 409 Phone:(979) 276-6067 E-mail:firstname[at]lastname.org Hours:By appointment via email. Reqs:PHYS601, PHYS603, PHYS606, PHYS607, knowledge of C or C++ and a scripting language (perl, python) Books:See literature list provided in class Grading:Lab (25%) Homework (25%) Semester project (30%) Semester project report in LaTeX (10%) Semester project presentation (10%) TA:Amin Barzegar (MPHYS 412)

Note:You must score 70% or higher in the Lab work to pass the course. Although homework and lab combined only count 50%, Ihighlyencourage you to do the homework sets regularly. You are allowed to miss one lab that will not be counted towards the final grade. However, you will have to show me a university-approved excuse. A 10-point grade scale will be used and no curve will be made. I encourage you to use email as a means of communicating with me about any problems concerning the course: questions about the material from lecture, about the homework problems, or about the course administration. In an effort to save some trees, there will be no printed handouts. The lecture notes will (usually...) be placed online the day before the class. All necessary information can be obtained online.

## syllabus & slides

## semester projects

The LaTeX macro for the report can be found HERE.

Self-avoiding random walks in d = 1...4 (Eames Bennett, Amin Barzegar) Study the traveling salemesman problem with genetic algorithms (Eunkyoung Shin; Chris Pattison) Avalanches in the BTW sand-pile model and RF Ising model (Stefania Dede; Amin Barzegar) Heat transfer and electric potentials on nontrivial topologies or in parallel (Chris Pattison) Viscous fluid dynamics simulations (Yanli Shi; Chris Pattison) Percolation and networks (Chao Fang) Fractals on GPUs (Chris Pattison) Machine learning the Ising transition (Xingchen Zhao; Chao Fang) Wang-Landau simulation of the Ising and random-field model (Dilina Perera) Population annealing of the (random-field) Ising model in parallel (Elham Azadbakht; Chris Pattison) Minimum vertex covers (Chao Fang) 2D Ising/SG model with different cluster algorithms; critical parameters (Masfer Alkahtani; Chao Fang) 2D q-state Potts model via Wang Landau (Dilina Perera) Variational QMC to find ground states of simple molecules (Dilina Perera) Exact diagonalization of the 1D Hubbard model (Emily Conant; Amin Barzegar) Hysteretic optimization for Sherrington-Kirkpatrick model (Helmut Katzgraber) Monte Carlo simulation of the 3D Heisenberg model (Aysan Bahari; Dilina Perera)

## legal

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