Securing Data of Biotechnological Laboratories Using Blockchain Technology. - Krzysztof Misztal; Tomasz Sluzalec; Aleksandra Kubica-Misztal (CISIM, 2020)

Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. - Tomasz Sluzalec; Rafal Wojciech Grzeszczuk; Sergio Rojas; Witold Dzwinel; Maciej Paszynski (CoRR, 2022)

Automatic stabilization of finite-element simulations using neural networks and hierarchical matrices. - Tomasz Sluzalec; Mateusz Dobija; Anna Paszynska; Ignacio Muga; Maciej Paszynski (CoRR, 2022)

Fast Solver for Advection Dominated Diffusion Using Residual Minimization and Neural Networks. - Tomasz Sluzalec; Maciej Paszynski (ICCS (2), 2023)

Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. - Tomasz Sluzalec; Rafal Wojciech Grzeszczuk; Sergio Rojas; Witold Dzwinel; Maciej Paszynski (Comput. Math. Appl., 2023)

Stabilization of isogeometric finite element method with optimal test functions computed from L2 norm residual minimization. - Marcin Los; Tomasz Sluzalec; Maciej Paszynski; Eirik Valseth (CoRR, 2024)

Physics Informed Neural Networks for Non-stationary Material Science Problems. - Pawel Maczuga; Tomasz Sluzalec; Lukasz Sztangret; Danuta Szeliga; Marcin Los; Maciej Paszynski (ICCS (Workshops 2), 2025)

Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab. - Pawel Maczuga; Maciej Sikora; Tomasz Sluzalec; Marcin Szubert; Lukasz Sztangret; Danuta Szeliga; Marcin Los; Witold Dzwinel; Keshav Pingali; Maciej Paszynski (ICCS (2), 2025)

Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix. - Tomasz Sluzalec (ICCS (Workshops 1), 2025)

Tensorial Implementation for Robust Variational Physics-Informed Neural Networks. - Askold Vilkha; Carlos Uriarte; Pawel Maczuga; Tomasz Sluzalec; Maciej Paszynski (ICCS (1), 2025)

Stabilization of isogeometric finite element method with optimal test functions computed from L2 norm residual minimization. - Marcin Los; Tomasz Sluzalec; Maciej Paszynski; Eirik Valseth (J. Comput. Appl. Math., 2025)