Tomasz Sluzalec

According to our database, Tomasz Sluzalec authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

IGA-ODIL: Optimizing DIscretre robust Loss with Isogeometric Analysis to solve forward and inverse problems faster using machine learning tools.

Maciej Paszynski, Tomasz Sluzalec

CoRR, May, 2026

Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen.

Leszek Siwik, Maciej Sikora, Natalia Leszczynska, Tomasz Maciej Ciesielski, Eirik Valseth, Manuela Bastidas Olivares, Marcin Los, Tomasz Sluzalec, Jacek Leszczynski, Maciej Paszynski

CoRR, April, 2026

CO₂ sequestration hybrid solver using isogeometric alternating-directions and collocation-based robust variational physics informed neural networks (IGA-ADS-CRVPINN).

Askold Vilkha, Tomasz Sluzalec, Marcin Los, Maciej Paszynski

CoRR, April, 2026

Wildfires Quasi-Implicit Alternative-Direction Simulations using Isogeometric Finite Element Method.

Juliusz Wasieleski, Tomasz Sluzalec, Maciej Wozniak, Marcin Los, Andres Medina, Paulina Sepúlveda-Salas, Albert Oliver Serra, Eirik Valseth, Anna Paszynska, Maciej Paszynski

CoRR, April, 2026

Python library supporting Discrete Variational Formulations and training solutions with Collocation-based Robust Variational Physics Informed Neural Networks (DVF-CRVPINN).

Tomasz Sluzalec, Marcin Los, Askold Vilkha, Maciej Paszynski

CoRR, April, 2026

Reliable physics-informed neural networks for Navier-Stokes simulations. Can we trust AI-generated numerical simulations?

Tomasz Sluzalec, Daria Wójcik, Carlos Uriarte, Marcin Los, Anna Paszynska, Maciej Paszynski

J. Comput. Sci., 2026

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

Tensorial Implementation for Robust Variational Physics-Informed Neural Networks.

Askold Vilkha, Carlos Uriarte, Pawel Maczuga, Tomasz Sluzalec, Maciej Paszynski

Proceedings of the Computational Science - ICCS 2025, 2025

Augmenting Petrov-Galerkin Method with Optimal Test Functions by DNN Learning the Inverse of the Gram Matrix.

Tomasz Sluzalec

Proceedings of the Computational Science - ICCS 2025 Workshops, 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

Proceedings of the Computational Science - ICCS 2025, 2025

Physics Informed Neural Networks for Non-stationary Material Science Problems.

Pawel Maczuga, Tomasz Sluzalec, Lukasz Sztangret, Danuta Szeliga, Marcin Los, Maciej Paszynski

Proceedings of the Computational Science - ICCS 2025 Workshops, 2025

2024

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

2023

Quasi-optimal <i>hp</i>-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

Fast Solver for Advection Dominated Diffusion Using Residual Minimization and Neural Networks.

Tomasz Sluzalec, Maciej Paszynski

Proceedings of the Computational Science - ICCS 2023, 2023

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

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

2020

Securing Data of Biotechnological Laboratories Using Blockchain Technology.

Krzysztof Misztal, Tomasz Sluzalec, Aleksandra Kubica-Misztal

Proceedings of the Computer Information Systems and Industrial Management, 2020