Hello MDAnalysis Team,
I am Anik Faisal, a PhD candidate in computational materials science at Colorado State University, USA. I have been working on modeling atomic scale plasticity in metallic materials using atomistic simulation packages like LAMMPS, VASP and MD++. My most recent project is focused on analyzing simulation data with thousands of atoms in order to identify crystalline defects. For this, I have developed a method that computes bond lengths between atoms and predicts the type of defect present under large deformation conditions. I have used slip vector analysis, centrosymmetry parameter and common neighbor analysis to determine local lattice disorder caused by plastic deformation. Implementing python graph network analysis packages for this project has been a topic of interest for me and so I am very interested in applying for Project 1: Generalise Groups.
I have read through the MDAnalysis GSoC blog post and currently working on committing in the development branch of MDAnalysis for eligibility. In addition to Project 1, I am also interested in Project 3. As a long term user of molecular simulation and visualization packages, I have always been interested in learning about and contributing to developing these packages and so the possibility of being involved in MDAnalysis benchmarking is very intriguing.
Finally, I would love to know more about any other requirements for the application beyond working on the GSoC starter issues as explained in the blog post.
Thanks!
-Anik