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Verification register Energy, Climate, Space & Materials

Living definition

What is Orb-v3 / OrbMol-v2?

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

Orb-v3 and OrbMol-v2 are machine-learning interatomic potential models, neural networks trained to predict the forces and energies between atoms so that materials and molecules can be simulated without solving quantum-mechanical equations directly at every step. Orb-v3 is built for simulating solid-state materials while OrbMol-v2 extends the same underlying approach to molecular systems, letting both share a common modeling framework across different classes of matter.

Live readiness status

Status as of the current dateline

AI-assisted assembly · derived results

As of 2026-07-23, verified readiness is 76 (claimed 80, reported 80, gap 4) — Strong evidence strength; current signals suggest Adopt with guardrails.

The readiness fact belongs to the canonical Readiness Verdict for Orb-v3 / OrbMol-v2.

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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