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A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Yamazaki, Yusuke, Harandi, Ali, Muramatsu, Mayu, Viardin, Alexandre, Apel, Markus, Brepols, Tim, Reese, Stefanie, Rezaei, Shahed
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
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