SC
ENT-00001899 · Modèle IA

SchNet

SchNet is a AI model associated with Technische Universität Berlin, classified in LXKeys.world as Foundation / Language Model.

Niveau IV ConnectéActifDocumenté
Fiche publique

Vue d’ensemble

SchNet is a scientific AI system associated with Technische Universität Berlin. The record focuses on its role in domain-specific prediction, scientific analysis, biological modeling, materials discovery or research-oriented machine learning.

Chronologie

  1. 2023Initial model publication or release

    SchNet entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.

Capacités

Model capabilityResearch referenceBenchmarkable system

Limites connues

Capabilities and behavior depend on the specific model version, checkpoints, prompting, tools and deployment configuration.Performance claims should be interpreted against the documented evaluation protocol and source material rather than generalized across tasks.Availability, licensing, safety controls and supported modalities may change over time.
Détail technique et structuré

Description technique

Structured LXKeys.world registry record for SchNet. Entity type: AI Model; classification: Foundation / Language Model; creator/organization context: Technische Universität Berlin. Canonical source anchor: https://papers.nips.cc/paper/2017/hash/303ed4c69846ab36c2904d3ba8573050-Abstract.html. 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

AI ModelResearch SystemTechnical Record
Graphe relationnel

SchNet

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SchNet
Créé parSortante
Technische Universität Berlin

SchNet is associated with Technische Universität Berlin through its documented source context.

Couche lisible par machine

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

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    "@type": "Thing",
    "identifier": "ENT-00001899",
    "name": "SchNet",
    "alternateName": [],
    "additionalType": {
        "category": "Models",
        "type": "AI Model",
        "subtype": "",
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    "description": "SchNet is a AI model associated with Technische Universität Berlin, classified in LXKeys.world as Foundation / Language Model.",
    "creator": "Technische Universität Berlin",
    "url": "https://lxkeys.world/entry.php?id=ENT-00001899&lang=fr",
    "sameAs": "https://papers.nips.cc/paper/2017/hash/303ed4c69846ab36c2904d3ba8573050-Abstract.html",
    "image": "",
    "lxkeysWorld": {
        "worldId": "ENT-00001899",
        "kind": "Models",
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        "classification": "Foundation / Language Model",
        "organization": "Technische Universität Berlin",
        "originContext": "Public AI and technical record",
        "firstPublicAppearance": "2023",
        "currentStatus": "Active",
        "documentationStatus": "Documented",
        "documentationIndex": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "lxCalendarium": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:29+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:29+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "facts": [],
        "capabilities": [
            "Model capability",
            "Research reference",
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            "Performance claims should be interpreted against the documented evaluation protocol and source material rather than generalized across tasks.",
            "Availability, licensing, safety controls and supported modalities may change over time."
        ],
        "tags": [
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            "Research System",
            "Technical Record"
        ],
        "timeline": [
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                "date": "2023",
                "title": "Initial model publication or release",
                "description": "SchNet entered the documented public record in 2023. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://papers.nips.cc/paper/2017/hash/303ed4c69846ab36c2904d3ba8573050-Abstract.html",
                "verification_status": "source_backed_curated_baseline"
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        "relationships": [
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                "type": "Created by",
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        "sources": [
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                "url": "https://papers.nips.cc/paper/2017/hash/303ed4c69846ab36c2904d3ba8573050-Abstract.html",
                "source_type": "Official Documentation",
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                "authority": "TRUSTED_PRIMARY",
                "role": "research_paper",
                "update_enabled": false,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
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        ],
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}
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