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GNoME

Google
closed / Overall score: 1.3

GNoME is Google DeepMind's Graph Networks for Materials Exploration effort for inorganic-crystal discovery, released as a database of more than 520,000 materials within 1 meV per atom of the convex hull, alongside model definitions for the GNoME and NequIP architectures and Colab notebooks for exploring the data. The repository publishes architectures and discovered structures rather than trained weights.

Openness

1 high confidence
1.0
weights
closed(model definitions and architecture configuration only
data
closed(the models were trained on a 2018 Materials Project snapshot that is not released as a corpus
code
partial(Apache-2.0 model definitions and exploration Colabs
license
proprietary(no weights are distributed, so no weights licence exists

The Apache-2.0 label on the repository is a code license, not a weights license. What GNoME released is the discovered-materials database and the model architectures behind it, not a downloadable trained checkpoint, so nothing here qualifies as an open model no matter what else was published.

Adoption

2 medium confidence
2.0

No Hugging Face or package artifact exists, so GitHub stars are used as the last-resort signal instead.

Capability

1 high confidence
1.0

Nothing here can be adapted, because no trained model ships and the training colabs are still upcoming. Discovery in the paper came from a substitution-and-filter pipeline around the model rather than from the model generating structures, so the generative attribute is not counted.

Verified 2026-09-10