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@atomgptlab

atomgptlab

Data-driven materials design
README.md

👾 AtomGPTLab

Welcome to AtomGPTLab at JHU – advancing AI-powered atomistic materials design.

Research Areas

  • Generative AI for materials
  • Inverse design workflows
  • Graph neural networks
  • Density functional theory
  • Materials Database

🚀 Featured Project: CME: ChatGPT Material Explorer

🚀 Coming soon: atomgpt.org

🌐 PI: Kamal Choudhary (E-mail: [email protected])

🔬Interested in working with us, please fill this form

🌟 Star us to support open materials research!

Popular repositories Loading

  1. chatgpt_material_explorer chatgpt_material_explorer Public

    CME-ChatGPT Material Explorer

    15

  2. atomgpt atomgpt Public

    Generative Pretrained Transformer Models for Materials Design https://www.youtube.com/@dr_k_choudhary

    Python 8 5

  3. jarvis-tools jarvis-tools Public

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

    Python 6

  4. jarvis-tools-notebooks jarvis-tools-notebooks Public

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

    Jupyter Notebook 4 2

  5. alignn alignn Public

    Atomistic Line Graph Neural Networks

    Python 3 2

  6. jarvis_leaderboard jarvis_leaderboard Public

    Python 2

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