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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| 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 |