Surrogate-Based Physics-Informed Neural Networks for Elliptic Partial Differential Equations
The purpose of this study is to investigate the role that a deep learning approach could play in computational mechanics. In this paper, a convolutional neural network technique based on modified loss function is proposed as a surrogate of the finite element method (FEM). Several surrogate-based phy...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2023-06-01
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| Σειρά: | Mathematics |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2227-7390/11/12/2723 |
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