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knc6/README.md

Hi there πŸ‘‹

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

Here are some links that might interest you:

Β knc6

Pinned Loading

  1. usnistgov/jarvis usnistgov/jarvis Public

    JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ

    Python 301 123

  2. usnistgov/alignn usnistgov/alignn Public

    Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en

    Python 217 80

  3. JARVIS-Materials-Design/jarvis-tools-notebooks JARVIS-Materials-Design/jarvis-tools-notebooks Public

    A Google-Colab Notebook Collection for Materials Design: https://jarvis.nist.gov/

    Jupyter Notebook 62 30

  4. usnistgov/jarvis_leaderboard usnistgov/jarvis_leaderboard Public

    Explore State-of-the-Art Materials Design Methods: https://www.nature.com/articles/s41524-024-01259-w

    Jupyter Notebook 58 43

  5. usnistgov/atomqc usnistgov/atomqc Public

    Atomistic Calculations on Quantum Computers

    Python 14 10

  6. deepmaterials/dlmatreview deepmaterials/dlmatreview Public

    Repository for links to software packages and databases used in deep-learning applications for materials science

    TeX 122 26