Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Matyka, Maciej"'
We developed the off-lattice Eden model to simulate the growth of bacterial colonies in the three-dimensional geometry of a Petri dish. In contrast to its two-dimensional counterpart, our model takes a three-dimensional set of possible growth directi
Externí odkaz:
http://arxiv.org/abs/2406.20011
In this paper, two mesh-free CFD solvers for pore-scale fluid flow through porous media are considered, namely the Lattice Boltzmann Method with the two relaxation time collision term and the direct Navier-Stokes solver under the artificial compressi
Externí odkaz:
http://arxiv.org/abs/2404.14195
We investigate the very onset of the inertial regime in pore-scale fluid flow in a three-dimensional, disordered porous media. We analyze how the flow structure changes with increasing Reynolds number. In particular, we compute tortuosity, spatial ki
Externí odkaz:
http://arxiv.org/abs/2403.00456
Autor:
Strzelczyk, Dawid, Matyka, Maciej
One of the most severe limitations of the Lattice Boltzmann Method in the context of simulating inertial flows is the coupling of the discretization of space to the velocity discretization. It causes the need to increase the size of computational mes
Externí odkaz:
http://arxiv.org/abs/2312.14789
Running large-scale computer codes for huge fluid flow problems requires not only large supercomputers but also efficient and well-optimized computer codes that save the resources of those supercomputers. This paper evaluates the high-performance imp
Externí odkaz:
http://arxiv.org/abs/2312.14742
Autor:
Strzelczyk, Dawid, Matyka, Maciej
The Meshless Lattice Boltzmann Method (MLBM) is a numerical tool that relieves the standard Lattice Boltzmann Method (LBM) from regular lattices and, at the same time, decouples space and velocity discretizations. In this study, we investigate the nu
Externí odkaz:
http://arxiv.org/abs/2306.01525
Publikováno v:
Sci Rep 13, 9769 (2023)
We adopt convolutional neural networks (CNN) to predict the basic properties of the porous media. Two different media types are considered: one mimics the sand packings, and the other mimics the systems derived from the extracellular space of biologi
Externí odkaz:
http://arxiv.org/abs/2304.02104
Publikováno v:
In International Journal of Heat and Mass Transfer 15 November 2024 233
Autor:
Strzelczyk, Dawid, Matyka, Maciej
Publikováno v:
In Computers and Fluids 30 January 2024 269
Autor:
Graczyk, Krzysztof M., Matyka, Maciej
Publikováno v:
Sci Rep 10, 21488 (2020)
Convolutional neural networks (CNN) are utilized to encode the relation between initial configurations of obstacles and three fundamental quantities in porous media: porosity ($\varphi$), permeability $k$, and tortuosity ($T$). The two-dimensional sy
Externí odkaz:
http://arxiv.org/abs/2007.02820