Physics-Informed Neural Networks for Solving Coupled Stokes–Darcy Equation

In this paper, a grid-free deep learning method based on a physics-informed neural network is proposed for solving coupled Stokes–Darcy equations with Bever–Joseph–Saffman interface conditions. This method has the advantage of avoiding grid generation and can greatly reduce the amount of computation...

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Detalles Bibliográficos
Autores principales: Pu, Ruilong, Feng, Xinlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407191/
https://www.ncbi.nlm.nih.gov/pubmed/36010770
http://dx.doi.org/10.3390/e24081106

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407191/
https://www.ncbi.nlm.nih.gov/pubmed/36010770
http://dx.doi.org/10.3390/e24081106

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