DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks.

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Title: DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks.
Authors: Moya, Christian1, Lin, Guang1,2, guanglin@purdue.edu
Source: Neural Computing & Applications; Feb2023, Vol. 35 Issue 5, p3789-3804, 16p
Database: Applied Science & Technology Source
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  Data: DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks.
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        Value: 10.1007/s00521-022-07886-y
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 3789
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      – TitleFull: DAE-PINN: a physics-informed neural network model for simulating differential algebraic equations with application to power networks.
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            NameFull: Moya, Christian
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            NameFull: Lin, Guang
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            – D: 20
              M: 02
              Text: Feb2023
              Type: published
              Y: 2023
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