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Learning the solution operator of parametric partial differential equations with physics-informed DeepONets

Partial differential equations (PDEs) play a central role in the mathematical analysis and modeling of complex dynamic processes across all corners of science and engineering. Their solution often requires laborious analytical or computational tools, associated with a cost that is markedly amplified...

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Detalles Bibliográficos
Autores principales: Wang, Sifan, Wang, Hanwen, Perdikaris, Paris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8480920/
https://www.ncbi.nlm.nih.gov/pubmed/34586842
http://dx.doi.org/10.1126/sciadv.abi8605

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