List of useful resources for teaching and more. Here you can find:
- Useful analysis scripts
- Posters at past conferences.
- Books on Methods for Statistical Mechanics
- Suggested Molecular Dynamics packages
- Instructions on how to use the shell
- Instructions on Python
- Mathematical libraries
Scripts
Useful scripts for analysis, post-processing or just didactical purposes. Click here.
Posters
Large scale posters accepted in past conferences. Click here.
Methods for Statistical Mechanics
Suggested reading:
- Daan Frenkel and Berend Smit, Understanding Molecular Simulation http://www.sciencedirect.com/science/book/978012267351 [in particular chapter 1,2,3,4]
- Werner Krauth, Statistical Mechanics: Algorithms and Computations http://ukcatalogue.oup.com/product/9780198515364.do
Molecular Dynamics and Monte Carlo
- LAMMPS (Large-scale Atomic/Molecular Massively Parallel Simulator) http://lammps.sandia.gov
- Event driven molecular dynamics, DynamO, http://dynamomd.org
- DL_MONTE, http://www.scd.stfc.ac.uk//research/app/ccg/software/DL_MONTE/40692.aspx
Using the Terminal
- Tutorial for the usage of the command line https://www.codecademy.com/courses/learn-the-command-line
- Another tutorial for the usage of the shell http://linuxsurvival.com/
- Bash tutorial http://ryanstutorials.net/bash-scripting-tutorial/
- Submitting a job to an HPC cluster and some useful UNIX commands https://www.acrc.bris.ac.uk/acrc/pdf/BlueCrystalRefCard2.pdf
Python
- Tutorial for Python basics: http://www.codecademy.com/
- Python for scientific computing: http://scipy-lectures.github.io/index.html
- Anaconda Python (recommended for Windows) https://www.continuum.io/downloads
Mathematical methods
- Computational Geometry Algorithms Library, http://www.cgal.org
