Living definition
What is Microsoft MatterGen?
Advanced Materials & Manufacturing Energy, Climate, Space & Materials
- As of
- 2026-10-01
- Revision
- 2026-10-06.1
- Method
- v1.4.0
Definition
The term, in context
AI-assisted draft · approved dataset
Microsoft MatterGen is a generative AI model that designs new inorganic crystal structures from scratch using a diffusion process, gradually refining random atomic arrangements into stable, physically plausible materials. Researchers can condition MatterGen on target properties, such as a desired electronic band gap, magnetic behavior, or mechanical strength, so it proposes candidate materials engineered toward those properties rather than searching through existing compound databases.
Live readiness status
Status as of the current dateline
AI-assisted assembly · derived results
As of 2026-10-01, verified readiness is 35 (claimed 35, reported 35, gap 0) — Strong evidence strength; current signals suggest Use MatterGen for supervised candidate generation in a research pilot.
The readiness fact belongs to the canonical Readiness Verdict for Microsoft 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