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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
2026-10-01
Revision
2026-10-06.1
Method
v1.4.0

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 2026-10-01, verified readiness is 40 (claimed 55, reported 45, gap 15) — Strong evidence strength; current signals suggest Use Orb-v3 for screened research workloads with reference checks; evaluate OrbMol-v2 separately.

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

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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