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$Δ$-PINNs: physics-informed neural networks on complex geometries

Fuente: arXiv

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Bibliographic Details
Main Authors:	Costabal, Francisco Sahli, Pezzuto, Simone, Perdikaris, Paris
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	Acceder al recurso
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