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Quantifying data needs in surrogate modeling for flow fields in two-dimensional stirred tanks with physics-informed neural networks

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Trávníková, Veronika, von Lieres, Eric, Behr, Marek
Format:	Preprint
Publié:	2025
Sujets:	Computational Engineering, Finance, and Science 76-10, 68T07 (Primary) 76D05, 35Q68 (Secondary)
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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