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A non-intrusive approach for physics-constrained learning with application to fuel cell modeling - MaRDI portal

A non-intrusive approach for physics-constrained learning with application to fuel cell modeling (Q6164271)

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scientific article; zbMATH DE number 7719579
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A non-intrusive approach for physics-constrained learning with application to fuel cell modeling
scientific article; zbMATH DE number 7719579

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    A non-intrusive approach for physics-constrained learning with application to fuel cell modeling (English)
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    27 July 2023
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    data-driven modeling
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    machine learning
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    model augmentation
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    statistical inference
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    electrochemical energy conversion
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