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@FERMat-ML

FERMat-ML

README.md

FERMat: Foundational Representation of Materials

The FERMat project aims to establish a new technological paradigm and the software infrastructure necessary for the development of machine learning models capable of predicting the properties of unseen molecular and materials systems and structures, thus accelerating the computational discovery of new molecules and materials.

A project of the KIM Initiative: explore related projects on the KIM Initiative homepage
Supported by the U.S. National Science Foundation: Award #2311632

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  1. OMatG OMatG Public

    State-of-the-art generative model for crystal structure prediction and de novo generation of inorganic crystals.

    Python 41 4

Repositories

Showing 5 of 5 repositories
  • OMatG Public

    State-of-the-art generative model for crystal structure prediction and de novo generation of inorganic crystals.

    FERMat-ML/OMatG’s past year of commit activity
    Python 41 MIT 4 0 1 Updated Jan 14, 2026
  • OMG-site Public

    Open Materials Generation

    FERMat-ML/OMG-site’s past year of commit activity
    HTML 0 0 0 0 Updated Jan 14, 2025
  • .github Public
    FERMat-ML/.github’s past year of commit activity
    0 0 0 0 Updated Jan 10, 2025
  • FERMat-site Public

    Foundational Representation of Materials

    FERMat-ML/FERMat-site’s past year of commit activity
    HTML 0 0 0 0 Updated Jan 10, 2025
  • MaterialsDiffusion Public Forked from jiaor17/DiffCSP

    Fork of DiffCSP diffusion model. Features to bring it closer to MatterGen implementations will be added.

    FERMat-ML/MaterialsDiffusion’s past year of commit activity
    Python 0 MIT 62 0 0 Updated Nov 21, 2024

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