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pro vyhledávání: '"Gerrit Felsch"'
Autor:
Gerrit Felsch, Viacheslav Slesarenko
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Generative machine learning models have shown notable success in identifying architectures for metamaterials—materials whose behavior is determined primarily by their internal organization—that match specific target properties. By examin
Externí odkaz:
https://doaj.org/article/55fc449ffff14e088e876159acc59c87
Publikováno v:
Materials & Design, Vol 236, Iss , Pp 112468- (2023)
The rational geometric and topological organization of mechanical metamaterials allows for unconventional responses to external loads. These materials exhibit a coupling between deformation in orthogonal directions governed by Poisson's ratio, which,
Externí odkaz:
https://doaj.org/article/b7001e5de9ef48e5ae8f36a4d8c42f4a
Lattice-based mechanical metamaterials are known to exhibit quite a unique mechanical behavior owing to their rational internal architecture. This includes unusual properties such as a negative Poisson's ratio, which can be easily tuned in reentrant-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c480dc938a4dcc8cb55ac46a7ce6797c
Autor:
Jan Oppermann, Tim Haß, Arne Hasselbring, Philip Reichenberg, Tim Laue, Thomas Röfer, Gerrit Felsch, Nicole Schrader
Publikováno v:
RoboCup 2019: Robot World Cup XXIII ISBN: 9783030356989
RoboCup
RoboCup
In the RoboCup Standard Platform League 2019, the team B-Human won the main competition and, together with Berlin United - Nao-Team Humboldt, the Mixed Team Competition. For being successful in such a competitive environment, many sophisticated solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7e3257f2cadb8450bd33d6ee16fb649
https://doi.org/10.1007/978-3-030-35699-6_52
https://doi.org/10.1007/978-3-030-35699-6_52