Neural networks for solving partial differential equations, a comprehensive review of recent methods and applications
Neural networks have emerged as powerful tools for constructing numerical solution methods for partial differential equations (PDEs). This review article provides an accessible introduction to recent developments in the field of scientific machine learning, focusing on methods such as Physics-Inform...
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| Hauptverfasser: | , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
EDP Sciences
2025-01-01
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| Schriftenreihe: | SHS Web of Conferences |
| Schlagworte: | |
| Online-Zugang: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/05/shsconf_cifem2024_01005.pdf |
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