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@FERMat-ML

FERMat-ML

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 31 2

  2. MaterialsDiffusion MaterialsDiffusion Public

    Forked from jiaor17/DiffCSP

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

    Python

  3. FERMat-site FERMat-site Public

    Foundational Representation of Materials

    HTML

  4. OMG-site OMG-site Public

    Open Materials Generation

    HTML

  5. .github .github Public

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