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Modeling 2D unsteady flows at moderate Reynolds numbers using a 3D convolutional neural network and a mixture of experts.

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Title: Modeling 2D unsteady flows at moderate Reynolds numbers using a 3D convolutional neural network and a mixture of experts.
Authors: Zigon, Bob1, robert.zigon@beckman.com, Zhu, Luoding2, luozhu@iupui.edu
Source: Computer Physics Communications; May2025, Vol. 310, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 183379468
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  Data: Modeling 2D unsteady flows at moderate Reynolds numbers using a 3D convolutional neural network and a mixture of experts.
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  Data: <searchLink fieldCode="AU" term="%22Zigon%2C+Bob%22">Zigon, Bob</searchLink><relatesTo>1</relatesTo>, <i>robert.zigon@beckman.com</i><br /><searchLink fieldCode="AU" term="%22Zhu%2C+Luoding%22">Zhu, Luoding</searchLink><relatesTo>2</relatesTo>, <i>luozhu@iupui.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Computer+Physics+Communications%22">Computer Physics Communications</searchLink>; May2025, Vol. 310, pN.PAG-N.PAG, 1p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=183379468
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.cpc.2025.109540
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      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Modeling 2D unsteady flows at moderate Reynolds numbers using a 3D convolutional neural network and a mixture of experts.
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            NameFull: Zigon, Bob
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            NameFull: Zhu, Luoding
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 310
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