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Verification register Energy, Climate, Space & Materials

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

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