Dr. JENA's Projects
MagTense - a micromagnetism and magnetostatic framework
Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.
Resources to support the use of mapped averaging with other molecular simulation packages
Live Debian GNU/Linux System for MateriApps Applications
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
Data mining for materials science
matplotlib: plotting with Python
Modeling and Crystallographic Utilities
A software to calculate thermal conductivity quickly and accurately
This python scripts can be used to calculate some important physical properties such as elastic moduli, melting temperature, Debye temperature, elastic wave velocities, and elastic anisotropy for all crystalline systems using the VASP output data for elastic tensor calculation. It can also be used to test the mechanical stability of any bulk system. It reads the elastic matrix written in the OUTCAR file. If not provided by user, this script will read the crystal type from the OUTCAR file.
Strategies for the Construction of Neural-Network Based Machine-Learning Potentials (MLPs)
Supplementary data files for "Tunable Conductivity of Flexible Metal–Organic Frameworks" by Chong, Rogge and Kim (2022)
Plots the evolution of forces and energy from VASP's OUTCAR file. Useful for analyzing optimization progression between or during job submissions.
Adds a dent with a gaussian in Z direction
Python package that enables high throughput analysis of interfaces(two dimensional materials, hetero-structures, nanoparticles with and without ligands/solvents).
MTEX is a free Matlab toolbox for quantitative texture analysis. Homepage:
Multiple Scattering Theory code for first principles calculations
A script to prepare POSCAR's for NEB calculations with VTST and DiSPy.
Free Objects for Crystallography : Fox / ObjCryst++
https://opencatalystproject.org/
Workflow for creating and analyzing the Open Catalyst Dataset
Specification of a common REST API for access to materials databases
Tools for implementing and consuming OPTIMADE APIs in Python
An algorithm to match crystal structures atom-to-atom
p4vasp, the VASP Visualization Tool
This is a simple but efficient implementation of PaiNN-model for constructing machine learning interatomic potentials
Utility to construct and operate on Hamiltonians from the Projections of DFT wfc on Atomic Orbital bases (PAO)