Shima Baharlouei (DC1), Jamie M. Taylor, Carlos Uriarte, David Pardo, A Least-Squares-Based Neural Network (LS-Net) for Solving Linear Parametric PDEs, Computer Methods in Applied Mechanics and Engineering, Volume 437, 2025, 117757, ISSN 0045-7825, https://doi.org/10.1016/j.cma.2025.117757. 

Ivan Bioli (DC2), Yannis Voet, A theoretical study on the effect of mass lumping on the discrete frequencies in immersogeometric analysis. J Sci Comput 104, Volume 103, 2025, https://doi.org/10.1007/s10915-025-02990-2.

Marcin Łoś, Tomasz Służalec, Paweł Maczuga, Askold Vilkha (DC8), Carlos Uriarte, Maciej Paszyński, Collocation-based robust variational physics-informed neural networks (CRVPINNs), Computers & Structures, Volume 316, 2025, 107839, ISSN 0045-7949, https://doi.org/10.1016/j.compstruc.2025.107839.

Magdalena Pabisz, Dominika Ciupek, Askold Vilkha (DC8), Maciej Paszyński, EXPBrain: Exponential Integrators for Glioblastoma Brain Tumor Simulations. In: Paszynski, M., Barnard, A.S., Zhang, Y.J. (eds) Computational Science – ICCS 2025 Workshops. ICCS 2025. Lecture Notes in Computer Science, vol 15907. Springer, Cham. https://doi.org/10.1007/978-3-031-97554-7_10.

Askold Vilkha (DC8), Carlos Uriarte, Paweł Maczuga, Tomasz Służalec, Maciej Paszyński, Tensorial Implementation for Robust Variational Physics-Informed Neural Networks. In: Lees, M.H., et al. Computational Science – ICCS 2025. ICCS 2025. Lecture Notes in Computer Science, vol 15903. Springer, Cham. https://doi.org/10.1007/978-3-031-97626-1_5.