BWhat changed
Deep learning and computational screening expand the space of candidate stable crystals.
Scientific scope
Deep learning and computational screening expand the space of candidate stable crystals. Scope limitation: Predicted stability, actual synthesis, phase purity and practical value are recorded separately. The complete article byline is recorded; individual roles remain source-bound.
Evidence
Assessment uses the catalogue-linked source evidence for the stated contribution. Predicted stability, actual synthesis, phase purity and practical value are recorded separately. The complete article byline is recorded; individual roles remain source-bound.
Contributors
- Amil Merchant · SCIENCE: Named source contributor; exact labor shares are not measured.
- Simon Batzner · SCIENCE: Named source contributor; exact labor shares are not measured.
- Samuel S. Schoenholz · SCIENCE: Named source contributor; exact labor shares are not measured.
- Muratahan Aykol · SCIENCE: Named source contributor; exact labor shares are not measured.
- Gowoon Cheon · SCIENCE: Named source contributor; exact labor shares are not measured.
- Ekin Dogus Cubuk · SCIENCE: Named source contributor; exact labor shares are not measured.
- The systems documented in the research record · EXECUTION: Source-reported system assistance within this scope; no provider attestation or independent agency is inferred.
- Merchant et al., Scaling deep learning for materials discovery (2023)
- Publisher-deposited byline: Scaling deep learning for materials discovery
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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