Alternativer Identifier:
(ASSAS upload UUID) ac7ef639-6f79-4466-90b8-01c72548e471
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_CESAR_in_ou_s990
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_CESAR_in_ou_s990. Source description: LOCA_KIT_CESAR_in_ou_s990.

(Technical Info) {"number_of_steps": 49364}
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: 2025-03-10T14:01:04+01:00 (basis=tar_member_mtime; kind=directory; member=LOCA_6I_CL_1300_LIKE_SIMPLIFIED_ASSAS_FILT.bin)
(HDF5 SHA-256) ea1096b94467af277dfa98d64a434f42b4837bb932c7e1ec1b960a1741cddac8
(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:
3,0 GB
Archiversteller:
pkieck
Archiv-Prüfsumme:
2be7be9d4273f059900e6913f75fd32d (MD5)
Embargo-Zeitraum:
-