Rapid design of secondary deformation-aging parameters for ultra-low Co content Cu-Ni-Co-Si-X alloy via Bayesian optimization machine learning
Crossref DOI link: https://doi.org/10.1007/s12613-022-2479-3
Published Online: 2022-05-23
Published Print: 2022-06
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Zhang, Hongtao
Fu, Huadong
Shen, Yuheng
Xie, Jianxin
Text and Data Mining valid from 2022-05-23
Version of Record valid from 2022-05-23
Article History
Received: 5 March 2022
Revised: 19 March 2022
Accepted: 22 March 2022
First Online: 23 May 2022
Conflict of Interest
: The authors declare no conflict of interest.