Living definition
What is MatterGen?
Computational Materials & Chemistry Discovery Energy, Climate, Space & Materials
- As of
- 2026-10-09
- Revision
- 2026-10-06.1
- Method
- v1.4.0
Definition
The term, in context
AI-assisted draft · approved dataset
MatterGen is a generative AI model that designs new inorganic crystal structures from scratch by learning the statistical patterns underlying known stable materials, rather than screening through an existing database of candidates. A user can guide the generation process toward materials with specific target properties, such as a desired chemistry, symmetry, or electronic characteristic, and the model proposes novel crystal structures likely to satisfy those constraints.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-10-09, verified readiness is 35 (claimed 40, reported 40, gap 5) — Strong evidence strength; current signals suggest Use MatterGen as a research candidate generator with independent physical validation.
The readiness fact belongs to the canonical Readiness Verdict for MatterGen.
Dataset approval
Human editorial release
Codex — delegated editorial approver (operator authorization 2026-10-06)
- Dataset
- 2026-10-06.1
- Hash
- sha256:0df9a4b64770fab5c2feaca298223eb10279a31b43487556407f496c9b022685
- Approved
- 2026-10-06