Division of Applied Computer Science and Statistical Physics
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Division of Applied Computer Science and Statistical Physics
Keywords
– transport in porous media, lattice Boltzmann gas
– computational physics, general-purpose programming on graphics processing units (GPGPU)
– econophysics, time series, random matrices
– percolation
Research topics
– Modeling the dynamics of complex physical, biological, and economic systems
– Parallel computing and its practical applications
– Computational physics, including computational fluid mechanics
Research subjects
– Transport in multiphase media (J. Poła, M. Bancewicz, Z Koza)
– Transport in porous media (M. Matyka, J, Gołembiewski, Z. Koza)
– Modeling fluid mechanics on graphics cards (S. Szkoda, Z. Koza)
– Cross-correlations in time series (J. Miśkiewicz)
– Systems with delayed information transfer (J. Miśkiewicz)
– Fractal and multifractal properties of time series (D. Grech)
– nvestigation of the financial market and extreme events with the methods of complex systems physics (D. Grech)
– Perkolation (G. Kondrat, P. Brzeski, Z. Koza)
Grants
- Project Shale-Mech – grant NCBiR (2015-2017) – M. Bancewicz, J. Poła, Z. Koza.
- Project Mozart V, in collaboration with NeuroSYS, Scientific document with dynamic content (M. Matyka)
- Numerical analysis of the transport of fluids through porous media using the GPGPU technology, grant MNiSW N N519 437939 (2010-2013) – Zbigniew Koza, (PI), Maciej Matyka, Artur Duda, Sebastian Szkoda
- NCBiR INNOTECH, in collaboration with Vratis Sp. z o.o., aimed at visualization of blood flow through blood vessels (2013) – Maciej Matyka, Zbigniew Koza
- “Innowacyjny Transfer”, funded by Agencja Rozwoju Innowacji, in collaboration with “Krzysztof Pawlikowski – Supersonic”, aimed at the exploitation of semantic technologies in search efficiency optimization (SEO) (2013) – Janusz Szwabiński
Top publications
- Z. Koza, J. Poła, From discrete to continuous percolation in dimensions 3 to 7, J. Stat. Mech.: Th. Exp., (2016) (accepted); arXiv:1606.08050
- M. Matyka, J. Gołembiewski, Z. Koza, Power-exponential velocity distributions in disordered porous media, Phys. Rev. E 93, 013110 (2016)
- D. Grech, Alternative measure of multifractal content and its application in finance, Chaos, Solitons & Fractals 88, 183-195, (2016)
- J. Miśkiewicz, Improving quality of sample entropy estimation for continuous distribution probability functions, Physica A 450, 473–485 (2016)
- Z. Koza , G. Kondrat, and K. Suszczynski, Percolation of overlapping squares or cubes on a lattice, J. Stat. Mech.: Th. Exp., P11005 (2014)
- Z. Koza, M. Matyka, L. Miroslaw, J. Pola, Sparse Matrix-Vector Product, [in:] Numerical Computations with GPUs, Springer-Verlag, Berlin (2014)
- Z. Koza, M. Matyka, S. Szkoda, Ł. Mirosław, Compressed Multirow Storage Format for Sparse Matrices on Graphics Processing Units, SIAM Journal on Scientific Computing 36-2, C219-C239 (2014)
- K. Sznajd-Weron, J. Szwabiński, R. Weron and T. Weron, Rewiring the network. What helps an innovation to diffuse?, Journal of Statistical Mechanics 3, 3007 (2014)
- A. Khalili, M.R. Morad, M. Matyka, et al., Porosity variation below a fluid-porous interface, Chemical Engineering Science 107, 311-316 (2014)
- G. Pamuła, D. Grech, Influence of the maximal fluctuation moment order q on multifractal records normalized by finite size effects, Europhysics Letters 105, 50004 (2014)
Collaboration
- Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy – Marcin Dąbrowski
- Max Planck Institute for Marine Microbiology, Bremen, Germany – Arzhang Khalili
- Uniwersytet Warmińsko-Mazurski – Wojciech Sobieski
- Instytut Informatyki, Politechnika Wrocławska – Łukasz Mirosław
Keywords
– transport in porous media, lattice Boltzmann gas
– computational physics, general-purpose programming on graphics processing units (GPGPU)
– econophysics, time series, random matrices
– percolation
Research topics
– Modeling the dynamics of complex physical, biological, and economic systems
– Parallel computing and its practical applications
– Computational physics, including computational fluid mechanics
Research subjects
– Transport in multiphase media (J. Poła, M. Bancewicz, Z Koza)
– Transport in porous media (M. Matyka, J, Gołembiewski, Z. Koza)
– Modeling fluid mechanics on graphics cards (S. Szkoda, Z. Koza)
– Cross-correlations in time series (J. Miśkiewicz)
– Systems with delayed information transfer (J. Miśkiewicz)
– Fractal and multifractal properties of time series (D. Grech)
– nvestigation of the financial market and extreme events with the methods of complex systems physics (D. Grech)
– Perkolation (G. Kondrat, P. Brzeski, Z. Koza)
Grants
- Project Shale-Mech – grant NCBiR (2015-2017) – M. Bancewicz, J. Poła, Z. Koza.
- Project Mozart V, in collaboration with NeuroSYS, Scientific document with dynamic content (M. Matyka)
- Numerical analysis of the transport of fluids through porous media using the GPGPU technology, grant MNiSW N N519 437939 (2010-2013) – Zbigniew Koza, (PI), Maciej Matyka, Artur Duda, Sebastian Szkoda
- NCBiR INNOTECH, in collaboration with Vratis Sp. z o.o., aimed at visualization of blood flow through blood vessels (2013) – Maciej Matyka, Zbigniew Koza
- “Innowacyjny Transfer”, funded by Agencja Rozwoju Innowacji, in collaboration with “Krzysztof Pawlikowski – Supersonic”, aimed at the exploitation of semantic technologies in search efficiency optimization (SEO) (2013) – Janusz Szwabiński
Top publications
- Z. Koza, J. Poła, From discrete to continuous percolation in dimensions 3 to 7, J. Stat. Mech.: Th. Exp., (2016) (accepted); arXiv:1606.08050
- M. Matyka, J. Gołembiewski, Z. Koza, Power-exponential velocity distributions in disordered porous media, Phys. Rev. E 93, 013110 (2016)
- D. Grech, Alternative measure of multifractal content and its application in finance, Chaos, Solitons & Fractals 88, 183-195, (2016)
- J. Miśkiewicz, Improving quality of sample entropy estimation for continuous distribution probability functions, Physica A 450, 473–485 (2016)
- Z. Koza , G. Kondrat, and K. Suszczynski, Percolation of overlapping squares or cubes on a lattice, J. Stat. Mech.: Th. Exp., P11005 (2014)
- Z. Koza, M. Matyka, L. Miroslaw, J. Pola, Sparse Matrix-Vector Product, [in:] Numerical Computations with GPUs, Springer-Verlag, Berlin (2014)
- Z. Koza, M. Matyka, S. Szkoda, Ł. Mirosław, Compressed Multirow Storage Format for Sparse Matrices on Graphics Processing Units, SIAM Journal on Scientific Computing 36-2, C219-C239 (2014)
- K. Sznajd-Weron, J. Szwabiński, R. Weron and T. Weron, Rewiring the network. What helps an innovation to diffuse?, Journal of Statistical Mechanics 3, 3007 (2014)
- A. Khalili, M.R. Morad, M. Matyka, et al., Porosity variation below a fluid-porous interface, Chemical Engineering Science 107, 311-316 (2014)
- G. Pamuła, D. Grech, Influence of the maximal fluctuation moment order q on multifractal records normalized by finite size effects, Europhysics Letters 105, 50004 (2014)
Collaboration
- Państwowy Instytut Geologiczny – Państwowy Instytut Badawczy – Marcin Dąbrowski
- Max Planck Institute for Marine Microbiology, Bremen, Germany – Arzhang Khalili
- Uniwersytet Warmińsko-Mazurski – Wojciech Sobieski
- Instytut Informatyki, Politechnika Wrocławska – Łukasz Mirosław
