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Kernel-based stochastic collocation for the random two-phase navier-stokes equations

; ;

In
International journal for uncertainty quantification 9(5), Seiten/Artikel-Nr.:471-492

ImpressumRedding, Conn. : Begell House

ISSN2152-5080

Online
DOI: 10.1615/Int.J.UncertaintyQuantification.2019029228


Einrichtungen

  1. Lehr- und Forschungsgebiet Simulation in der Kerntechnik (N.N) (115020)
  2. Fachgruppe Mathematik (110000)


Thematische Einordnung (Klassifikation)
DDC: 510


Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
WOS Core Collection: WOS:000503408600004
SCOPUS: SCOPUS:2-s2.0-85078246074

Interne Identnummern
RWTH-2020-00847
Datensatz-ID: 780739

Beteiligte Länder
Germany, Switzerland

 GO

Medline ; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Essential Science Indicators ; IF < 5 ; 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 Mathematics
Public records
Publications database
110000
115020
 Record created 2020-01-20, last modified 2023-04-05
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