Deep Learning-based surrogate models for parametrized PDEs: handling geometric variability through graph neural networks

DOI10.1063/5.0170101arXiv2308.01602OpenAlexW4389625454MaRDI QIDQ6446118

Filippo Tombari, Nicola Rares Franco, Andrea Manzoni, Stefania Fresca

Publication date: 3 August 2023

Full work available at URL: https://doi.org/10.1063/5.0170101

Mathematics Subject Classification ID

Artificial intelligence (68Txx) Numerical methods for partial differential equations, initial value and time-dependent initial-boundary value problems (65Mxx) Numerical methods for partial differential equations, boundary value problems (65Nxx)

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