| Robust variational physics-informed neural networks S Rojas, P Maczuga, J Muñoz-Matute, D Pardo, M Paszyński Computer Methods in Applied Mechanics and Engineering 425, 116904, 2024 | 22 | 2024 |
| Influence of activation functions on the convergence of physics-informed neural networks for 1d wave equation P Maczuga, M Paszyński International Conference on Computational Science, 74-88, 2023 | 12 | 2023 |
| A variational splitting of high-order linear multistep methods for heat transfer and advection–diffusion parabolic problems P Behnoudfar, VM Calo, M Łoś, P Maczuga, M Paszyński Journal of Computational Science 63, 101807, 2022 | 4 | 2022 |
| The first scientiffic evidence for the hail cannon K Misan, M Kozieja, M Łoś, D Gryboś, J Leszczyński, P Maczuga, ... International Conference on Computational Science, 177-190, 2023 | 3 | 2023 |
| Graph-grammar based algorithm for asteroid tsunami simulations P Maczuga, A Oliver-Serra, A Paszyńska, E Valseth, M Paszyński Journal of Computational Science 64, 101856, 2022 | 3 | 2022 |
| Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab P Maczuga, M Sikora, M Skoczeń, P Rożnawski, F Tłuszcz, M Szubert, ... arXiv preprint arXiv:2310.03755, 2023 | 2 | 2023 |
| Shock waves generators: From prevention of hail storms to reduction of the smog in urban areas—experimental verification and numerical simulations M Łoś, L Siwik, M Woźniak, D Gryboś, P Maczuga, A Oliver-Serra, ... Journal of Computational Science 77, 102238, 2024 | 1 | 2024 |
| Simulating the aftermath of Northern European Enclosure Dam (NEED) break and flooding of European coast P Maczuga, M Łoś, E Valseth, AO Serra, L Siwik, EA Celaya, A Paszyńska, ... Engineering with Computers, 1-13, 2024 | | 2024 |
| Modeling tsunami waves at the coastline of Valparaiso area of Chile with physics informed neural networks A Niewiadomska, P Maczuga, A Oliver-Serra, L Siwik, P Sepulveda-Salaz, ... International Conference on Computational Science, 204-218, 2024 | | 2024 |
| Collocation-based Robust Variational Physics-Informed Neural Networks (CRVPINN) M Łoś, T Służalec, P Maczuga, A Vilkha, C Uriarte, M Paszyński arXiv preprint arXiv:2401.02300, 2024 | | 2024 |
| Linear Computational Cost Implicit Variational Splitting Solver with Non-regular Material Data for Parabolic Problems P Maczuga, M Paszyński, V Calo International Conference on Computational Science, 132-138, 2022 | | 2022 |
| A hypergraph-grammar for the longest-edge refinement of triangular and tetrahedral meshes K Podsiadło, A Paszyńska, A Oliver Serra, P Maczuga, M Paszyński, ... International Center for Numerical Methods in Engineering (CIMNE), 2022 | | 2022 |
| Physics-Informed Neural Network with Adaptive Mesh Refinement J Trynda, PM Maczuga, A Oliver, LE Garcia Castillo, RF Schaefer, ... Available at SSRN 5148446, 0 | | |
| Programowa implementacja maszyny szyfrującej Enigma dla potrzeb dydaktyki i prezentacji W Sus, P Maczuga, M Miłosz | | |
| Programowa implementacja maszyny szyfrującej Enigma dla potrzeb dydaktyki i prezentacji M Mandowski, W Sus, P Maczuga | | |
| Programowa implementacja maszyny szyfrującej Enigma dla potrzeb dydaktyki i prezentacji P Maczuga, M Miłosz, W Sus | | |
| Physics Informed Neural Networks for wave propagation problems P Maczuga, M Paszyński | | |