Parallel Shared-Memory Isogeometric Residual Minimization (iGRM) for Three-Dimensional Advection-Diffusion Problems. - Marcin Los; Judit Muñoz-Matute; Krzysztof Podsiadlo; Maciej Paszynski; Keshav Pingali (ICCS (7), 2020)

Isogeometric Residual Minimization Method (iGRM) with direction splitting for non-stationary advection-diffusion problems. - Marcin Los; Judit Muñoz-Matute; Ignacio Muga; Maciej Paszynski (Comput. Math. Appl., 2020)

Isogeometric Residual Minimization Method (iGRM) for Stokes and Time-Dependent Stokes Problems. - Marcin Los; Judit Muñoz-Matute; Ignacio Muga; Maciej Paszynski (CoRR, 2020)

Isogeometric residual minimization (iGRM) for non-stationary Stokes and Navier-Stokes problems. - Marcin Los; Ignacio Muga; Judit Muñoz-Matute; Maciej Paszynski (Comput. Math. Appl., 2021)

Equivalence between the DPG method and the exponential integrators for linear parabolic problems. - Judit Muñoz-Matute; David Pardo; Leszek F. Demkowicz (J. Comput. Phys., 2021)

A Deep Double Ritz Method (D2RM) for solving Partial Differential Equations using Neural Networks. - Carlos Uriarte; David Pardo; Ignacio Muga; Judit Muñoz-Matute (CoRR, 2022)

The DPG Method for the Convection-Reaction Problem, Revisited. - Leszek F. Demkowicz; Nathan V. Roberts; Judit Muñoz-Matute (Comput. Methods Appl. Math., 2023)

Robust Variational Physics-Informed Neural Networks. - Sergio Rojas; Pawel Maczuga; Judit Muñoz-Matute; David Pardo; Maciej Paszynski (CoRR, 2023)

Multistage DPG time-marching scheme for nonlinear problems. - Judit Muñoz-Matute; Leszek F. Demkowicz (CoRR, 2023)

Exploiting Kronecker structure in exponential integrators: Fast approximation of the action of φ-functions of matrices via quadrature. - Matteo Croci; Judit Muñoz-Matute (J. Comput. Sci., 2023)

An exponential integration generalized multiscale finite element method for parabolic problems. - Luis F. Contreras; David Pardo; Eduardo Abreu; Judit Muñoz-Matute; Ciro Díaz; Juan Galvis (J. Comput. Phys., 2023)

Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using exponential time integrators. - Magdalena Pabisz; Judit Muñoz-Matute; Maciej Paszynski (CoRR, 2024)

A Space-Time Discontinuous Petrov-Galerkin Finite Element Formulation for a Modified Schrödinger Equation for Laser Pulse Propagation in Waveguides. - Ankit Chakraborty; Judit Muñoz-Matute; Leszek F. Demkowicz; Jacob Grosek (CoRR, 2024)

Multistage Discontinuous Petrov-Galerkin Time-Marching Scheme for Nonlinear Problems. - Judit Muñoz-Matute; Leszek F. Demkowicz (SIAM J. Numer. Anal., 2024)

Regularity-conforming neural networks (ReCoNNs) for solving partial differential equations. - Jamie M. Taylor; David Pardo; Judit Muñoz-Matute (J. Comput. Phys., 2025)

Augmenting MRI scan data with real-time predictions of glioblastoma brain tumor evolution using faster exponential time integrators. - Magdalena Pabisz; Judit Muñoz-Matute; Maciej Paszynski (J. Comput. Sci., 2025)