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Maciej Paszynski
- > Home > Persons > Maciej Paszynski
Publications
- 2023
- [j75]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. Comput. Math. Appl. 142: 157-174 (2023) - [i14]Pawel Maczuga, Maciej Skoczen, Przemyslaw Roznawski, Filip Tluszcz, Marcin Szubert, Marcin Los, Witold Dzwinel, Keshav Pingali, Maciej Paszynski:
Physics Informed Neural Network Code for 2D Transient Problems (PINN-2DT) Compatible with Google Colab. CoRR abs/2310.03755 (2023) - 2022
- [j68]Maciej Paszynski, Leszek Siwik, Witold Dzwinel, Keshav Pingali:
Supermodeling, a convergent data assimilation meta-procedure used in simulation of tumor progression. Comput. Math. Appl. 113: 214-224 (2022) - [j67]Leszek Siwik, Marcin Los, Adrian Klusek, Anna Paszynska, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Tuning three-dimensional tumor progression simulations on a cluster of GPGPUs. J. Comput. Appl. Math. 412: 114308 (2022) - [i12]Tomasz Sluzalec, Rafal Wojciech Grzeszczuk, Sergio Rojas, Witold Dzwinel, Maciej Paszynski:
Quasi-optimal hp-finite element refinements towards singularities via deep neural network prediction. CoRR abs/2209.05844 (2022) - 2019
- [j51]Adrian Klusek, Marcin Los, Maciej Paszynski, Witold Dzwinel:
Efficient model of tumor dynamics simulated in multi-GPU environment. Int. J. High Perform. Comput. Appl. 33(3) (2019) - [i3]Leszek Siwik, Marcin Los, Adrian Klusek, Keshav Pingali, Witold Dzwinel, Maciej Paszynski:
Supermodeling of tumor dynamics with parallel isogeometric analysis solver. CoRR abs/1912.12836 (2019) - 2018
- [c51]Leszek Siwik, Marcin Los, Adrian Klusek, Witold Dzwinel, Maciej Paszynski:
Tuning two-dimensional tumor growth simulations. SummerSim 2018: 9:1-9:12 - 2017
- [c47]Witold Dzwinel, Adrian Klusek, Maciej Paszynski:
A concept of a prognostic system for personalized anti-tumor therapy based on supermodeling. ICCS 2017: 1832-1841
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