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Gaussian processes for surrogate modeling of discharged fuel nuclide compositions

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In
Annals of nuclear energy 156, Seiten/Artikel-Nr.:108085

ImpressumAmsterdam [u.a.] : Elsevier Science

ISSN0306-4549

Online
DOI: 10.1016/j.anucene.2020.108085


Einrichtungen

  1. Juniorprofessur für Experimentalphysik (134030)
  2. Fachgruppe Physik (130000)
  3. Aachen Institute for Advanced Study in Computational Engineering Science (080003)


Thematische Einordnung (Klassifikation)
DDC: 530


Dokumenttyp
Journal Article

Format
online, print

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85102359855
WOS Core Collection: WOS:000635542300001

Interne Identnummern
RWTH-2021-02754
Datensatz-ID: 815651

Beteiligte Länder
Germany, Netherlands

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Preprint  ;
Gaussian Processes for Surrogate Modeling of Discharged Fuel Nuclide Compositions
[1]-18 () [10.48550/ARXIV.2006.12921]  GO OpenAccess  Download fulltext Files  Download fulltextFulltext by arXiv.org BibTeX | EndNote: XML, Text | RIS

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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The record appears in these collections:
Document types > Articles > Journal Articles
Faculty of Mathematics, Computer Science and Natural Sciences (Fac.1) > Department of Physics
Central and Other Institutions
Public records
Publications database
080003
130000
134030
 Record created 2021-03-16, last modified 2022-08-01
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