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Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Straub, Christopher, Brendel, Philipp, Medvedev, Vlad, Rosskopf, Andreas
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence Computational Physics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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