pragma.vision Technology observatory

Verification register Energy, Climate, Space & Materials

Living definition

What is MatterGen?

Computational Materials & Chemistry Discovery Energy, Climate, Space & Materials

As of
2026-07-23
Revision
2026-07-23.1
Method
v1.3.0

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 2026-07-23, verified readiness is 61 (claimed 70, reported 67, gap 9) — Strong evidence strength; current signals suggest Adopt with guardrails.

The readiness fact belongs to the canonical Readiness Verdict for MatterGen.

Dataset approval

Human editorial release

pragma.vision editorial — standing authorization (operator dev@soft.house, 2026-07-17)

Dataset
2026-07-23.1
Hash
sha256:2946693d2bc5cb60960d58d1e68b228b21021ebbdb21122cce1fb0a6793301ce
Approved
2026-07-23

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