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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.

The Apache-2.0 label covers the notebooks and code; the database is CC BY-NC 4.0 and no trained checkpoint is distributed. Verified 2026-09-10 via the GitHub API and the repository README.

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 repository label is a code licence, not a weights licence. What GNoME released is the discovered-materials database and the architectures behind it; there is no downloadable trained model, so the first rung of the ladder applies whatever else was published.

Adoption

2 medium confidence
2.0

No Hugging Face or package artifact exists — nothing is distributed to band — so 1,235 GitHub stars are the last-resort signal.

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