The links provided on this page will be specially useful for prospective students who are interested in working with me. These are divided into three categories depending on the nature of their content. Though there is a category about computers, I note that the important part of my research involves theoretical analysis (reading literature, paper-and-pencil derivations). Therefore, prior knowledge of computer programming is not necessary for working with me. The web-page will be periodically updated to include the websites that I find interesting. The links can be accessed by clicking on the underlined words.
2. SklogWiki: Wiki specializing in Statistical Physics. Good source of information about relevant textbooks, research groups, conferences and workshops.
3. etomica: This website provides resources like Java applets that are useful for understanding molecular simulations. It is developed by David Kofke and Andrew Schultz at SUNY Buffalo.
4. Alchemistry.org: Wiki specializing in free-energy-based calculations using molecular simulations. Good source of information about relevant publications and also includes useful tutorials.
5. Annual Reviews (Subscription required): These Journals have review articles on advance topics in different fields. Please consult your institute library for the access.
2. Related to computers
1. A beginner’s guide to programming languages: Nice introduction to some programming languages. Also check other pages of the website for useful information. Thanks to Nick and Renee for sharing this resource.
2. GitHub: Platform for online collaborative projects. We will be using it in courses as well as in research. Refer to the next link for tutorials on using this platform.
3. software carpentry: This is a nice website containing the lectures and tutorials on different aspects of scientific computing. Highly recommended for anyone who wants to use computer programs for analysis.
4. Cygwin: This set of tools provide Linux like functionality on the computers working on Windows OS. A recommended software for Windows users who want to practice Linux commands.
5. GCC: This is a free set of compilers for C, Fortran and JAVA computer languages. A student working with me may need to write programs. However, prior knowledge of a programming language is not necessary. There are several online tutorials for different languages. For those having some experience with programming, I will recommend using an IDE like Code::Blocks.
6. jupyter: This is a very useful tool for creating web-based documents that contain “live” codes. Basically, it helps one include a code based on Python and Julia languages in a particular document. I plan to use this in my lecture notes to solve exercises. Moreover, some knowledge of languages like Python is very useful for performing small analysis.
7. Docear: This is a freely available and open source software for academic writing.
3. Related to Science
1. Stanford Encyclopedia of Philosophy: Interesting articles, mostly by academics, on different philosophical topics. There are many articles on the philosophy of science.
2. Some popular science magazines. I am a fan of science writers who explain difficult scientific topics in simple words. Some of my favorite are The Atlantic (Science section), Nautilus, Aeon and Quanta.
4. Project Hieroglyph: This is a fascinating idea of inspiring scientific ideas through fictional stories. It is administered by the Arizona State University.