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Chemistry & materials · Source-linked note

GNoME: candidate materials discovery

Deep learning and computational screening expand the space of candidate stable crystals.

What is recorded here?

Deep learning and computational screening expand the space of candidate stable crystals.

Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.

Scientific scope

Predicted stability, actual synthesis, phase purity and practical value are recorded separately. The complete article byline is recorded; individual roles remain source-bound.

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People and systems

Amil Merchant; Simon Batzner; Samuel S. Schoenholz; Muratahan Aykol; Gowoon Cheon; Ekin Dogus Cubuk

Listed source contributors; individual labor shares are not measured

GNoME · Google DeepMind · GNoME
Research system / execution. Source-reported attribution; provider attestation is unavailable.

Research locations and affiliations

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Documented countries / regions: United States

Google DeepMind, Mountain View, CA, USA.; Google Research, Mountain View, CA, USA.

English catalogue narrative

GNoME: candidate materials discovery

Deep learning and computational screening expand the space of candidate stable crystals.

Scientific scope

Predicted stability, actual synthesis, phase purity and practical value are recorded separately. The complete article byline is recorded; individual roles remain source-bound.

Reading status

This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.

People and systems

Amil Merchant; Simon Batzner; Samuel S. Schoenholz; Muratahan Aykol; Gowoon Cheon; Ekin Dogus Cubuk

Listed source contributors; individual labor shares are not measured

GNoME / Google DeepMind / GNoME: Research system / execution (source reported).

Original sources