Judit Muñoz‐Matute

Robust Variational Physics-Informed Neural Networks

Sergio Rojas, Paweł Maczuga, Judit Muñoz‐Matute et al. · Computer Methods in Applied Mechanics and Engineering · 2024 · 43 citations · Full text

Natural Sciences, Mathematics, Physics +12

Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection–diffusion problems

Marcin Łoś, Judit Muñoz‐Matute, Ignacio Muga et al. · Computers & Mathematics with Applications · 2019 · 19 citations · Full text

Natural Sciences, Mathematics, Computational Mechanics +10

A Deep Double Ritz Method (D<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e3266" altimg="si244.svg"><mml:msup><mml:mrow/><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup></mml:math>RM) for solving Partial Differential Equations using Neural Networks

Carlos Uriarte, David Pardo, Ignacio Muga et al. · Computer Methods in Applied Mechanics and Engineering · 2023 · 17 citations · Full text

Natural Sciences, Mathematics, Differential Equations +16

A DPG-based time-marching scheme for linear hyperbolic problems

Judit Muñoz‐Matute, David Pardo, Leszek Demkowicz · Computer Methods in Applied Mechanics and Engineering · 2020 · 12 citations · Full text

Natural Sciences, Mathematics, Physics +12

Equivalence between the DPG method and the exponential integrators for linear parabolic problems

Judit Muñoz‐Matute, David Pardo, Leszek Demkowicz · Journal of Computational Physics · 2020 · 11 citations · Full text

Natural Sciences, Mathematics, Computational Physics +9