<?xml version="1.0" encoding="utf-8"?>
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    <id>4453</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>43</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>2</issue>
    <volume>8</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2023-01-26</completedDate>
    <publishedDate>2023-01-26</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Turbulence Modeling for Physics-Informed Neural Networks: Comparison of Different RANS Models for the Backward-Facing Step Flow</title>
    <parentTitle language="eng">Fluids</parentTitle>
    <identifier type="doi">10.3390/fluids8020043</identifier>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>© Alle Rechte vorbehalten</licence>
    <author>Fabian Pioch</author>
    <author>Jan Hauke Harmening</author>
    <author>Andreas Maximilian Müller</author>
    <author>Franz-Josef Peitzmann</author>
    <author>Dieter Schramm</author>
    <author>Bettar Ould El Moctar</author>
    <collection role="institutes" number="FB 6">Maschinenbau Bocholt</collection>
    <thesisPublisher>Westfälische Hochschule Gelsenkirchen Bocholt Recklinghausen</thesisPublisher>
  </doc>
</export-example>
