Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Maciej, Matyka"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract 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 o
Externí odkaz:
https://doaj.org/article/1dfbd116dadd42f291ab9fa97b75ab37
Autor:
Krzysztof M. Graczyk, Maciej Matyka
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Abstract Convolutional neural networks (CNN) are utilized to encode the relation between initial configurations of obstacles and three fundamental quantities in porous media: porosity ( $$\varphi$$ φ ), permeability (k), and tortuosity (T). The two-
Externí odkaz:
https://doaj.org/article/44c73faaec22405489053f3f380e5ee8
Autor:
Maciej, Matyka, Mark, Ollila
Publikováno v:
SIGRAD2003, Umea, Sweden
Motivated by existing models used for soft body simulation which are rather complex to implement, we present a novel technique which is based on simple laws of physics and gives high quality results in real-time. We base the implementation on simple
Externí odkaz:
http://arxiv.org/abs/physics/0407003
Publikováno v:
Album of Porous Media ISBN: 9783031237997
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::919808221cc16818c31757037000d8fe
https://doi.org/10.1007/978-3-031-23800-0_108
https://doi.org/10.1007/978-3-031-23800-0_108
Autor:
Maciej Matyka
Publikováno v:
Transport in Porous Media
I use a mechanical model of a soft body to study the dynamics of an individual fluid droplet in a random, non-wettable porous medium. The model of droplet relies on the spring–mass system with pressure. I run hundreds of independent simulations. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::420c319f41627e2e4b4ffb541a5c14fd
https://doi.org/10.1007/s11242-021-01705-z
https://doi.org/10.1007/s11242-021-01705-z
Autor:
Dawid Strzelczyk, Maciej Matyka
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::798def5b27937fcffd1775c6f98bd6d0
https://doi.org/10.2139/ssrn.4070398
https://doi.org/10.2139/ssrn.4070398
Publikováno v:
Powder Technology. 338:830-835
We capture the interfacial region of randomly packed porous layers composed of multi-sized spherical or arbitrarily-shaped granules using X-ray computed tomography to explore the porosity-depth variation below a porous media interface. In the case of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea8210dc63e0aeab98d974b94037e861
https://doi.org/10.1016/j.powtec.2018.07.039
https://doi.org/10.1016/j.powtec.2018.07.039
Autor:
Michał Dzikowski, Maciej Matyka
Publikováno v:
Computer Physics Communications. 267:108044
The Lattice Boltzmann Method algorithm is simplified by assuming constant numerical viscosity (the relaxation time is fixed at $\tau=1$). This leads to the removal of the distribution function from the computer memory. To test the solver the Poiseuil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b77e2738f93105f8161b6d75120d5d1a
https://doi.org/10.1016/j.cpc.2021.108044
https://doi.org/10.1016/j.cpc.2021.108044
Autor:
Maciej Matyka
Publikováno v:
Transport in Porous Media. 120:633-641
Multiparticle collision dynamics is a relatively new algorithm of fluid flow simulations that has been applied mostly to flows around simple objects. One might ask how it behaves in more complex flows. We extend the basic algorithm to handle flows in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0a6646f5b9315bd0dda21e2d0ecc758
https://doi.org/10.1007/s11242-017-0944-7
https://doi.org/10.1007/s11242-017-0944-7