Skip to content
View knc6's full-sized avatar

Block or report knc6

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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 https://www.youtube.com/watch?v=2-XHeC…

    Python 318 125

  2. usnistgov/alignn usnistgov/alignn Public

    Atomistic Line Graph Neural Network https://scholar.google.com/citations?user=9Q-tNnwAAAAJ&hl=en https://www.youtube.com/watch?v=WYePjZMzx3M

    Python 240 86

  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 69 29

  4. usnistgov/jarvis_leaderboard usnistgov/jarvis_leaderboard Public

    A large scale benchmark of materials design methods: https://www.nature.com/articles/s41524-024-01259-w

    Python 62 44

  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 128 26