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PINN-DG: Residual neural network methods trained with Finite Elements

Fuente: arXiv

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Bibliographic Details
Main Authors:	Grekas, Georgios, Makridakis, Charalambos G., Pryer, Tristan
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis Computational Physics 65M15 (Primary), 65M12 (Secondary)
Online Access:	Acceder al recurso
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