Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Broucek, John"'
Autor:
Zadeh, Sina Hossein, Cakirhan, Cem, Khatamsaz, Danial, Broucek, John, Brown, Timothy D., Qian, Xiaoning, Karaman, Ibrahim, Arroyave, Raymundo
The martensitic transformation in NiTi-based Shape Memory Alloys (SMAs) provides a basis for shape memory effect and superelasticity, thereby enabling applications requiring solid-state actuation and large recoverable shape changes upon mechanical lo
Externí odkaz:
http://arxiv.org/abs/2402.12520
Autor:
Zadeh, Sina Hossein, Behbahanian, Amir, Broucek, John, Fan, Mingzhou, Tovar, Guillermo Vazquez, Noroozi, Mohammad, Trehern, William, Qian, Xiaoning, Karaman, Ibrahim, Arroyave, Raymundo
In this study, we demonstrate how the incorporation of appropriate feature engineering together with the selection of a Machine Learning (ML) algorithm that best suits the available dataset, leads to the development of a predictive model for transfor
Externí odkaz:
http://arxiv.org/abs/2302.02153
Autor:
Hossein Zadeh, Sina, Cakirhan, Cem, Khatamsaz, Danial, Broucek, John, Brown, Timothy D., Qian, Xiaoning, Karaman, Ibrahim, Arroyave, Raymundo
Publikováno v:
In Materials & Design August 2024 244
