most citedFinite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEs

5 citations · 10 across the 2 of their papers we have counts for

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physics.comp-ph2024★ 5 cited

Finite Element Neural Network Interpolation. Part II: Hybridisation with the Proper Generalised Decomposition for non-linear surrogate modelling

Alexandre Daby-Seesaram, Kateřina Škardová, Martin Genet

This work introduces a hybrid approach that combines the Proper Generalised Decomposition (PGD) with deep learning techniques to provide real-time solutions for parametrised mechan…