Zobrazeno 1 - 10
of 774
pro vyhledávání: '"SCHNEIDER, KAI"'
Publikováno v:
Comptes Rendus. Mécanique, Vol , Iss , Pp 1-20 (2022)
The state-of-the-art of insect flight research using advanced computational fluid dynamics techniques on supercomputers is reviewed, focusing mostly on the work of the present authors. We present a brief historical overview, discuss numerical challen
Externí odkaz:
https://doaj.org/article/95e8bbc3412a4adc975f661b506b859a
Confinement quality in fusion plasma is significantly influenced by the presence of heavy impurities, which can lead to radiative heat loss and reduced confinement. This study explores the clustering of heavy impurity, \textit{i.e.}, Tungsten in edge
Externí odkaz:
http://arxiv.org/abs/2409.19423
This paper presents a neural network-based methodology for the decomposition of transport-dominated fields using the shifted proper orthogonal decomposition (sPOD). Classical sPOD methods typically require an a priori knowledge of the transport opera
Externí odkaz:
http://arxiv.org/abs/2407.17539
Publikováno v:
Phys. Rev. Lett. 132, 234001 (2024)
Direct numerical simulation of homogeneous isotropic turbulence shows pronounced clustering of inertial particles in the inertial subrange at high Reynolds number, in addition to the clustering typically observed in the near dissipation range. The cl
Externí odkaz:
http://arxiv.org/abs/2406.03107
Singularity formation of vortex sheets in 2D Euler equations using the characteristic mapping method
Autor:
Bergmann, Julius, Maurel-Oujia, Thibault, Xi-Yuan, Yin, Nave, Jean-Christophe, Schneider, Kai
The goal of this numerical study is to get insight into singular solutions of the two-dimensional (2D) Euler equations for non-smooth initial data, in particular for vortex sheets. To this end high resolution computations of vortex layers in 2D incom
Externí odkaz:
http://arxiv.org/abs/2404.02008
Publikováno v:
Physics of Fluids 36, 025120 (2024)
A wavelet-based machine learning method is proposed for predicting the time evolution of homogeneous isotropic turbulence where vortex tubes are preserved. Three-dimensional convolutional neural networks and long short-term memory are trained with a
Externí odkaz:
http://arxiv.org/abs/2404.02256
Autor:
Lin, Zetao, Maurel-Oujia, Thibault, Kadoch, Benjamin, Krah, Philipp, Saura, Nathaniel, Benkadda, Saddrudin, Schneider, Kai
Publikováno v:
Physics of Plasmas 31, 032505, 2024
This work investigates the behavior of impurities in edge plasma of tokamaks using high-resolution numerical simulations based on Hasegawa--Wakatani equations. Specifically, it focuses on the behavior of inertial particles, which has not been extensi
Externí odkaz:
http://arxiv.org/abs/2403.10219
We present a new methodology for decomposing flows with multiple transports that further extends the shifted proper orthogonal decomposition (sPOD). The sPOD tries to approximate transport-dominated flows by a sum of co-moving data fields. The propos
Externí odkaz:
http://arxiv.org/abs/2403.04313
Autor:
Maurel-Oujia, Thibault, Jain, Suhas S., Matsuda, Keigo, Schneider, Kai, West, Jacob R., Maeda, Kazuki
Cluster and void formations are key processes in the dynamics of particle-laden turbulence. In this work, we assess the performance of various neural network models for synthesizing preferential concentration fields of particles in turbulence. A data
Externí odkaz:
http://arxiv.org/abs/2312.14829
Autor:
Wirtz, Theresa Hildegard, Fischer, Petra, Backhaus, Christina, Bergmann, Irina, Brandt, Elisa Fabiana, Heinrichs, Daniel, Koenen, Maria Teresa, Schneider, Kai Markus, Eggermann, Thomas, Kurth, Ingo, Stoppe, Christian, Bernhagen, Jürgen, Bruns, Tony, Fischer, Janett, Berg, Thomas, Trautwein, Christian, Berres, Marie-Luise
Two polymorphisms in the promoter region of macrophage migration inhibitory factor (MIF)—rs755622 and rs5844572—exhibit prognostic relevance in inflammatory diseases. The aim of this study was to investigate a correlation between these MIF promot
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A89431
https://ul.qucosa.de/api/qucosa%3A89431/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A89431/attachment/ATT-0/