M3
ENT-00002403 · Modèle IA

M3GNet

M3GNet is a AI model associated with UC San Diego, classified in LXKeys.world as Scientific / Biomedical Model.

Niveau V PersistantActifDocumenté
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Vue d’ensemble

M3GNet is an AI model or research system associated with UC San Diego. It is documented as graph neural network for materials properties.

Chronologie

  1. 2022Initial model publication or release

    M3GNet entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Model inference or generationResearch or product evaluationVersioned technical documentationIntegration into model or product ecosystems

Limites connues

Model behavior depends on version, deployment settings and usage context.Capabilities should be interpreted through the linked model card, official documentation or research source.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for M3GNet. Entity type: AI Model; classification: Scientific / Biomedical Model; creator/organization context: Materials Virtual Lab. Canonical source anchor: https://github.com/materialsvirtuallab/m3gnet. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.

Tags contrôlés

Scientific AIAI ModelMaterialsScientific AI Model
Graphe relationnel

M3GNet

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M3GNet
CréateurSortante
Materials Virtual Lab

Materials Virtual Lab is documented as creator, contributor or originating team for M3GNet.

Organisation associéeSortante
UC San Diego

UC San Diego is the organization or institutional context associated with M3GNet.

ClassificationSortante
Scientific AI Model

M3GNet is classified as Scientific AI Model.

Couche lisible par machine

Données structurées de l’entrée pour les outils humains, les systèmes IA et les clients machine.

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    "@context": [
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        {
            "lxw": "https://lxkeys.world/schema/"
        }
    ],
    "@type": "Thing",
    "identifier": "ENT-00002403",
    "name": "M3GNet",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
        "lxkeysEntity": false
    },
    "description": "M3GNet is a AI model associated with UC San Diego, classified in LXKeys.world as Scientific / Biomedical Model.",
    "creator": "Materials Virtual Lab",
    "url": "https://lxkeys.world/entry.php?id=ENT-00002403&lang=fr",
    "sameAs": "https://github.com/materialsvirtuallab/m3gnet",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00002403",
        "kind": "Models",
        "type": "AI Model",
        "subtype": "",
        "classification": "Scientific / Biomedical Model",
        "organization": "UC San Diego",
        "originContext": "AI model repository",
        "firstPublicAppearance": "2022",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 88,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 25,
            "level": "Level V Persistent"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-17T01:33:48+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4",
            "updated_utc": "2026-06-17T01:33:48+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-22 T-4"
        },
        "facts": [],
        "capabilities": [
            "Model inference or generation",
            "Research or product evaluation",
            "Versioned technical documentation",
            "Integration into model or product ecosystems"
        ],
        "limitations": [
            "Model behavior depends on version, deployment settings and usage context.",
            "Capabilities should be interpreted through the linked model card, official documentation or research source."
        ],
        "tags": [
            "Scientific AI",
            "AI Model",
            "Materials",
            "Scientific AI Model"
        ],
        "timeline": [
            {
                "date": "2022",
                "title": "Initial model publication or release",
                "description": "M3GNet entered the documented public record in 2022. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://github.com/materialsvirtuallab/m3gnet",
                "verification_status": "source_backed_curated_baseline"
            }
        ],
        "relationships": [
            {
                "target": "Materials Virtual Lab",
                "type": "Creator",
                "description": "Materials Virtual Lab is documented as creator, contributor or originating team for M3GNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "UC San Diego",
                "type": "Associated organization",
                "description": "UC San Diego is the organization or institutional context associated with M3GNet.",
                "evidence_level": "documentary"
            },
            {
                "target": "Scientific AI Model",
                "type": "Classification",
                "description": "M3GNet is classified as Scientific AI Model.",
                "evidence_level": "documentary"
            }
        ],
        "sources": [
            {
                "label": "Official documentation",
                "url": "https://github.com/materialsvirtuallab/m3gnet",
                "source_type": "Model Card / Official Source",
                "verification_status": "verified",
                "authority": "TRUSTED_PRIMARY",
                "role": "code_repository",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "canonical": [],
        "imageMeta": []
    }
}
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