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Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks.

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Title: Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks.
Authors: Zhang, Zexia1 (AUTHOR), Sotiropoulos, Fotis2 (AUTHOR), Khosronejad, Ali1 (AUTHOR) ali.khosronejad@stonybrook.edu
Source: Physics of Fluids. Apr2024, Vol. 36 Issue 4, p1-17. 17p.
Database: Academic Search Ultimate
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Header DbId: asn
DbLabel: Academic Search Ultimate
An: 177184777
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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Items – Name: Title
  Label: Title
  Group: Ti
  Data: Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Zexia%22">Zhang, Zexia</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sotiropoulos%2C+Fotis%22">Sotiropoulos, Fotis</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khosronejad%2C+Ali%22">Khosronejad, Ali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ali.khosronejad@stonybrook.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Physics+of+Fluids%22">Physics of Fluids</searchLink>. Apr2024, Vol. 36 Issue 4, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=177184777
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1063/5.0197168
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 17
        StartPage: 1
    Titles:
      – TitleFull: Predicting turbulent wake flow of marine hydrokinetic turbine arrays in large-scale waterways via physics-enhanced convolutional neural networks.
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            NameFull: Zhang, Zexia
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            NameFull: Sotiropoulos, Fotis
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            NameFull: Khosronejad, Ali
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          Dates:
            – D: 01
              M: 04
              Text: Apr2024
              Type: published
              Y: 2024
          Identifiers:
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              Value: 10706631
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              Value: 36
            – Type: issue
              Value: 4
          Titles:
            – TitleFull: Physics of Fluids
              Type: main
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