35 citations · 209 across the 19 of their papers we have counts for
3 papers · 1 filter
Deep Fourier Residual method for solving time-harmonic Maxwell's equations
Jamie M. Taylor, Manuela Bastidas, David Pardo +1
Solving PDEs with machine learning techniques has become a popular alternative to conventional methods. In this context, Neural networks (NNs) are among the most commonly used mach…
Learning quantities of interest from parametric PDEs: An efficient neural-weighted Minimal Residual approach
Ignacio Brevis, Ignacio Muga, David Pardo +2
The efficient approximation of parametric PDEs is of tremendous importance in science and engineering. In this paper, we show how one can train Galerkin discretizations to efficien…
Adaptive stabilized finite elements via residual minimization onto bubble enrichments
José G. Hasbani, Paulina Sepúlveda, Ignacio Muga +2
The Adaptive Stabilized Finite Element method (AS-FEM) developed in Calo et. al. combines the idea of the residual minimization method with the inf-sup stability offered by the dis…