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Gaussian Processes for Surrogate Modeling of Discharged Fuel Nuclide Compositions

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Umfang[1]-18

Online
DOI: 10.18154/RWTH-2020-07126
DOI: 10.48550/ARXIV.2006.12921

URL: https://publications.rwth-aachen.de/record/793689/files/793689.pdf

Einrichtungen

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


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Dokumenttyp
Preprint

Format
online, data medium

Sprache
English

Externe Identnummern
arXiv: arXiv:2006.12921

Interne Identnummern
RWTH-2020-07126
Datensatz-ID: 793689

Beteiligte Länder
Germany

 GO

Related:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article  ;
Gaussian processes for surrogate modeling of discharged fuel nuclide compositions
Annals of nuclear energy 156, 108085 () [10.1016/j.anucene.2020.108085]  GO BibTeX | EndNote: XML, Text | RIS

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130000
134030
 Record created 2020-07-02, last modified 2024-10-28
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