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Autor:
van Wees, Lloyd, Shankar, Karthik, Fuhg, Jan N., Bouklas, Nikolaos, Shade, Paul, Obstalecki, Mark, Kasemer, Matthew
In this study, we present a methodology to predict the macroscopic yield surface of metals and metallic alloys with general crystallographic textures. In previous work, we have established the use of partially input convex neural networks (pICNN) as
Externí odkaz:
http://arxiv.org/abs/2404.03863
Autor:
Fuhg, Jan N., van Wees, Lloyd, Obstalecki, Mark, Shade, Paul, Bouklas, Nikolaos, Kasemer, Matthew
The influence of the microstructure of a polycrystalline material on its macroscopic deformation response is still one of the major problems in materials engineering. For materials characterized by elastic-plastic deformation responses, predictive co
Externí odkaz:
http://arxiv.org/abs/2202.01885
Publikováno v:
In Materialia September 2023 31
