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High-Fidelity Simulation of Turbulence in the Piscataqua River Using a Novel Neural Network Surrogate.

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Title: High-Fidelity Simulation of Turbulence in the Piscataqua River Using a Novel Neural Network Surrogate.
Authors: Shapour Miandouab, Samin1 (AUTHOR), Aksen, Mustafa Meriç1,2 (AUTHOR), Anjiraki, Mehrshad Gholami1,3 (AUTHOR), Sotiropoulos, Fotis1,2 (AUTHOR), Kang, SeokKoo2,3 (AUTHOR), Khosronejad, Ali1,3 (AUTHOR) ali.khosronejad@stonybrook.edu
Source: Water (20734441). Jun2026, Vol. 18 Issue 12, p1500. 23p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 194909153
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PubType: Academic Journal
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  Data: High-Fidelity Simulation of Turbulence in the Piscataqua River Using a Novel Neural Network Surrogate.
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  Data: <searchLink fieldCode="JN" term="%22Water+%2820734441%29%22">Water (20734441)</searchLink>. Jun2026, Vol. 18 Issue 12, p1500. 23p.
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      – Type: doi
        Value: 10.3390/w18121500
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      – Code: eng
        Text: English
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        PageCount: 23
        StartPage: 1500
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      – TitleFull: High-Fidelity Simulation of Turbulence in the Piscataqua River Using a Novel Neural Network Surrogate.
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            NameFull: Shapour Miandouab, Samin
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            NameFull: Aksen, Mustafa Meriç
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            NameFull: Anjiraki, Mehrshad Gholami
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            NameFull: Kang, SeokKoo
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            – D: 15
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 18
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