1. Sie sind hier:
  2. LOCA_KIT_init_sim_s965
...

    Datenpaket: LOCA_KIT_init_sim_s965

    Alternativer Identifier:
    (ASSAS upload UUID) 2fdca708-8600-40a0-8f72-d504f8b1a3e8
    Verwandter Identifier:
    (Is Part Of) 10.35097/bp03ve8f24y4w17m - DOI
    Ersteller/in:
    Stakhanova, Anastasia [KIT (Karlsruhe Institute of Technology)]

    Gabrielli, Fabrizio [KIT (Karlsruhe Institute of Technology)]
    Beitragende:
    -
    Titel:
    LOCA_KIT_init_sim_s965
    Weitere Titel:
    -
    Beschreibung:
    (Abstract) ASSAS severe-accident simulation data in HDF5 for research on nuclear reactor safety and machine-learning surrogate models. Simulation: LOCA_KIT_init_sim_s965. Source description: LOCA_KIT_init_sim_s965.
    Zeige Markdown
    (Technical Info) {"number_of_steps": 51980}
    Zeige Markdown
    Schlagworte:
    ASSAS
    nuclear safety
    severe accidents
    ASTEC
    machine learning
    surrogate models
    HDF5
    Zugehörige Informationen:
    (Source archive name) LOCA_6I_CL_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin
    (Source TAR name) LOCA_6I_CL_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin.tar
    (Source production timestamp) LOCA_6I_CL_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin: 2025-03-10T10:53:43+01:00 (basis=tar_member_mtime; kind=directory; member=LOCA_6I_CL_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin)
    (HDF5 SHA-256) 8c28cd6ddfe88a9198c9411f2da020ab4503e2f97a5e21f8b15745ee67e2a6b4
    (Funding project website) https://assas-horizon-euratom.eu/
    (File format) HDF5 (NetCDF-4)
    (HDF5 library version) 1.14.2
    (Creator contact) Stakhanova, Anastasia: anastasia.stakhanova@kit.edu
    (Creator contact) Gabrielli, Fabrizio: fabrizio.gabrielli@kit.edu
    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:
    KIT (Karlsruhe Institute of Technology)
    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:
    2,7 GB
    Archiversteller:
    pkieck
    Archiv-Prüfsumme:
    38e6e2c4e47a9af4a304064d7c343bad (MD5)
    Embargo-Zeitraum:
    -