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  2. SBO_ENEA_204
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    Datenpaket: SBO_ENEA_204

    Alternativer Identifier:
    (ASSAS upload UUID) f0f15f7a-3cf4-49c3-825c-d01532adbcdc
    Verwandter Identifier:
    (Is Part Of) 10.35097/bp03ve8f24y4w17m - DOI
    Ersteller/in:
    Savini, Marcello [ENEA (Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile)]
    Beitragende:
    -
    Titel:
    SBO_ENEA_204
    Weitere Titel:
    -
    Beschreibung:
    (Abstract) ASSAS severe-accident simulation data in HDF5 for research on nuclear reactor safety and machine-learning surrogate models. Simulation: SBO_ENEA_204. Source description: Normal End Of Calculation.
    Zeige Markdown
    Schlagworte:
    ASSAS
    nuclear safety
    severe accidents
    ASTEC
    machine learning
    surrogate models
    HDF5
    Zugehörige Informationen:
    (Source archive name) SBO_fb_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin
    (Source TAR name) SBO_fb_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin.tar
    (Source production timestamp) SBO_fb_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin: 2026-01-15T18:13:14+01:00 (basis=tar_member_mtime; kind=directory; member=SBO_fb_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin)
    (HDF5 SHA-256) 3a487b77852b439282dca58d1ff84861e4a909eca56ca3dead12bd82a44655c4
    (Funding project website) https://assas-horizon-euratom.eu/
    (File format) HDF5 (NetCDF-4)
    (HDF5 library version) 1.14.2
    (Creator contact) Savini, Marcello: marcello.savini2@unibo.it
    Sprache:
    Englisch
    Version:
    1.0
    Herausgeber/in:
    Karlsruhe Institute of Technology
    Erstellungsjahr:
    Fachgebiet:
    Engineering
    Computer Science
    Physics
    Objekttyp:
    (Dataset) Severe-accident simulation output in HDF5
    Datenquelle:
    (Other) ASTEC simulation
    Verwendete Software:
    Software für Datenerhebung
    Software:
    ASTEC - unspecified
    Alternative Software:
    -
    Datenverarbeitung:
    -
    Erscheinungsjahr:
    Rechteinhaber/in:
    ENEA (Agenzia nazionale per le nuove tecnologie, l'energia e lo sviluppo economico sostenibile)
    Förderung:
    European Union — Euratom Research and Training Programme - (ASSAS — Artificial intelligence for the Simulation of Severe AccidentS) - (ASSAS — Artificial intelligence for the Simulation of Severe AccidentS) 101059682
    Name Speichervolumen Metadaten Upload Aktion
    Status:
    Publiziert
    Eingestellt von:
    pkieck
    Erstellt am:
    Archivierungsdatum:
    2026-10-23
    Archivgröße:
    2,5 GB
    Archiversteller:
    pkieck
    Archiv-Prüfsumme:
    590163e915b0a3b1afdd3c478d3f2f11 (MD5)
    Embargo-Zeitraum:
    -