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Data-Free PINNs for Compressible Flows: Mitigating Spectral Bias and Gradient Pathologies via Mach-Guided Scaling and Hybrid Convolutions

Fuente: arXiv

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Détails bibliographiques
Auteur principal:	Yano, Ryosuke
Format:	Preprint
Publié:	2026
Sujets:	Fluid Dynamics Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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