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Lawrence Berkeley Lab
- Berkeley
- https://www.linkedin.com/in/kiran-mathew-26a307a
Stars
Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.
Stanford cs231n(Convolutional Neural Networks for Visual Recognition) assignment solutions
Assets for the Materials Project workshop in Aug 2016
atomate is a powerful software for computational materials science and contains pre-built workflows.
create a virtual environment for running FireWorks within Materials Project
The development repository for the deal.II finite element library
Pymatgen-db provides an addon to the Python Materials Genomics (pymatgen) library (https://pypi.python.org/pypi/pymatgen) that allows the creation of Materials Project-style databases for managemen…
A simple, robust and flexible just-in-time job management framework in Python.
The Fireworks Workflow Management Repo.
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
Run OKMC kinetic montecarlo code and compute the diffusion coefficient
C++ FEM solver for elasticity equations using dealii library
Python package that enables high throughput analysis of interfaces(two dimensional materials, hetero-structures, nanoparticles with and without ligands/solvents).
spparks, the Kinteic Monte Carlo code from Sandia, with custom modifications
Solvation model for the plane wave DFT code VASP.