Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Bedrunka, Mario"'
Autor:
Hagg, Alexander, Kliemank, Martin L., Asteroth, Alexander, Wilde, Dominik, Bedrunka, Mario C., Foysi, Holger, Reith, Dirk
Quality diversity algorithms can be used to efficiently create a diverse set of solutions to inform engineers' intuition. But quality diversity is not efficient in very expensive problems, needing 100.000s of evaluations. Even with the assistance of
Externí odkaz:
http://arxiv.org/abs/2303.15896
Autor:
Bedrunka, Mario Christopher, Wilde, Dominik, Kliemank, Martin, Reith, Dirk, Foysi, Holger, Krämer, Andreas
Publikováno v:
In International Conference on High Performance Computing (pp. 40-55). Springer, Cham (2021)
The lattice Boltzmann method (LBM) is an efficient simulation technique for computational fluid mechanics and beyond. It is based on a simple stream-and-collide algorithm on Cartesian grids, which is easily compatible with modern machine learning arc
Externí odkaz:
http://arxiv.org/abs/2106.12929
Publikováno v:
In Computers and Fluids 30 March 2024 272
Publikováno v:
Journal of Computational Science, Volume 51, April 2021, 101355
Off-lattice Boltzmann methods increase the flexibility and applicability of lattice Boltzmann methods by decoupling the discretizations of time, space, and particle velocities. However, the velocity sets that are mostly used in off-lattice Boltzmann
Externí odkaz:
http://arxiv.org/abs/2101.03982
Publikováno v:
In International Journal of Hydrogen Energy 19 March 2022 47(24):12240-12250
Akademický článek
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Autor:
Kliemank, Martin L., Wilde, Dominik, Bedrunka, Mario C., Krämer, Andreas, Foysi, Holger, Reith, Dirk
Publikováno v:
Discrete & Continuous Dynamical Systems - Series S; Nov2024, Vol. 17 Issue 11, pN.PAG-N.PAG, 1p
Autor:
Hagg A; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany alex@haggdesign.de., Kliemank ML; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany martin.kliemank@smail.emt.h-brs.de., Asteroth A; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany alexander.asteroth@h-brs.de., Wilde D; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany.; Dpt. of Mechanical Engineering, University of Siegen, Siegen, 57076, Germany dominik.wilde@h-brs.de., Bedrunka MC; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany.; Dpt. of Mechanical Engineering, University of Siegen, Siegen, 57076, Germany mario.bedrunka@h-brs.de., Foysi H; Dpt. of Mechanical Engineering, University of Siegen, Siegen, 57076, Germany holger.foysi@uni-siegen.de., Reith D; Institute of Technology, Resource and Energy-efficient Engineering (TREE), Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, 53757, Germany.; Fraunhofer Institute for Algorithms and Scientific Computing (SCAI), Sankt Augustin, 53754, Germany dirk.reith@h-brs.de.
Publikováno v:
Evolutionary computation [Evol Comput] 2023 Sep 01; Vol. 31 (3), pp. 287-307.