Physics-Informed Graph-Mesh Networks for PDEs: A hybrid approach for complex problems

The recent rise of deep learning has led to numerous applications, including solving partial differential equations using Physics-Informed Neural Networks. This approach has proven highly effective in several academic cases. However, their lack of physical invariances, coupled with other significant...

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Veröffentlicht in:	Advances in engineering software (1992) 2024-11, Vol.197, p.103758, Article 103758
Hauptverfasser:	Chenaud, M., Magoulès, F., Alves, J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Finite element method Graph neural networks Mathematics Partial differential equations Physics Physics-Informed Neural Networks Scientific machine learning
Online-Zugang:	Volltext
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