Historical milestone · 2023
GNoME
Reviewed through September 18, 2026
2023 · Historical milestone
GNoME
- Era
- 2020s
- Theme
- AI for science
- Evidence form
- Model + density-functional validation
- School / paradigm
- Graph learning / active scientific discovery
- Institution / context
- Google DeepMind
- Researchers
- Amil Merchant; collaborators
Understand
Plain-language record, transferred from the reviewed source module.
Theory or experimental setup. Coupled graph-network predictions, active learning, and density-functional calculations to search inorganic crystal space.
Result / historical claim. Greatly expanded the reported set of candidate stable inorganic materials and supported selected experimental follow-up.
Apply
Professional implication, only where the reviewed record states one.
The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: AI for science.
Verify
Evidence status, stated limitations, and the external sources this record actually carries.
Evidence form. Model + density-functional validation
Limitation / debate. Thermodynamic stability alone does not establish synthesizability, kinetic stability, manufacturability, or useful function.
Source status. The source link below is the verified link our reviewed topic research already carries for this milestone.
Reproduce
A reproduction tutorial is linked only when one exists for this exact record.
A reproduction tutorial is not yet available for this entry. The closest reviewed material is AI for science.
Cite or share
APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.
BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.