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Genetic algorithm for structure and phase prediction interfaced to GULP, LAMMPS and VASP.

License: MIT License

Python 34.76% Jupyter Notebook 65.24%

gasp-python's Introduction

Hi there ๐Ÿ‘‹

Kamal Choudhary is

My research interests are focused on atomistic materials design using classical, quantum, and machine learning methods. In particular, I have developed JARVIS database and tools (https://jarvis.nist.gov/) that hosts publicly available datasets for millions of material properties.

Contributions to projects:

Name Description Details Conda Package PyPi Package
usnistgov/jarvis JARVIS-Tools: An open-source software package for data-driven atomistic materials design ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/alignn ALIGNN: Atomistic Line Graph Neural Network and force-field ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/jarvis_leaderboard JARVIS-Leaderboard: Explore State-of-the-Art Materials Design Methods and Reproducible Benchmarks ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/atomgpt AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design ๐Ÿ“š
usnistgov/chemnlp ChemNLP: A Natural Language Processing based Library for Materials Chemistry Text Data ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/atomvision AtomVision: Deep learning framework for atomistic image data ๐Ÿ“š ๐Ÿ“ฆ
usnistgov/atomqc AtomQC: Atomistic Calculations on Quantum Computers ๐Ÿ“š ๐Ÿ“ฆ
JARVIS-Materials-Design/jarvis-tools-notebooks A Google-Colab Notebook Collection for Materials Design ๐Ÿ“š
deepmaterials/dlmatreview Repository for links to software packages and databases used in deep-learning applications for materials science ๐Ÿ“š
usnistgov/tb3py TB3Py: Two- and three-body tight-binding calculations for materials ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/intermat InterMat: Interface materials design toolkit ๐Ÿ“š ๐Ÿ“ฆ ๐Ÿ“ฆ
usnistgov/defectmat DefectMat: Defect materials design toolkit ๐Ÿ“š
SciVedanta A collection of YouTube videos on Vedanta philosophy ๐Ÿ“š
eesociety Encouraging Excellence Society ๐Ÿ“š

Here are some links that might interest you:

ย knc6

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