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pro vyhledávání: '"Selzer, Michael"'
As material modeling and simulation has become vital for modern materials science, research data with distinctive physical principles and extensive volume are generally required for full elucidation of the material behavior across all relevant scales
Externí odkaz:
http://arxiv.org/abs/2407.02162
Autor:
Alt, Christoph, Lanser, Martin, Plewinski, Jonas, Janki, Atin, Klawonn, Axel, Köstler, Harald, Selzer, Michael, Rüde, Ulrich
Publikováno v:
International Journal of Parallel, Emergent & Distributed Systems, 2024
For scientific software, especially those used for large-scale simulations, achieving good performance and efficiently using the available hardware resources is essential. It is important to regularly perform benchmarks to ensure the efficient use of
Externí odkaz:
http://arxiv.org/abs/2403.01579
Autor:
Selzer, Michael
In engineering work, the optimization of the microstructure of a material, of mechanically loaded components and of components influencing the flow behaviour is important. Understanding the behavior of flows in geological structures can be used to op
Externí odkaz:
https://library.oapen.org/handle/20.500.12657/53150
Autor:
Diercks, Philipp, Gläser, Dennis, Lünsdorf, Ontje, Selzer, Michael, Flemisch, Bernd, Unger, Jörg F.
In the field of computational science and engineering, workflows often entail the application of various software, for instance, for simulation or pre- and postprocessing. Typically, these components have to be combined in arbitrarily complex workflo
Externí odkaz:
http://arxiv.org/abs/2211.06429
(Artificial) neural networks have become increasingly popular in mechanics to accelerate computations with model order reduction techniques and as universal models for a wide variety of materials. However, the major disadvantage of neural networks re
Externí odkaz:
http://arxiv.org/abs/2104.10683
Shape optimization of porous structures by phase-field modeling with strain energy density reduction
Publikováno v:
In Materials Today Communications December 2023 37
Publikováno v:
In Computational Materials Science September 2023 228
Publikováno v:
In Materials Today Communications June 2023 35
Autor:
Jamshidi, Farshid, Kunz, Willfried, Altschuh, Patrick, Lu, Tianyu, Laqua, Matthieu, August, Anastasia, Löffler, Frank, Selzer, Michael, Nestler, Britta
Publikováno v:
In Materials Today Communications March 2023 34
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