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Prediction of sintered density of binary W(Mo) alloys using machine learning

Crossref DOI link: https://doi.org/10.1007/s12598-022-02238-0

Published Online: 2023-05-02

Published Print: 2023-08

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Liu, He‐Xiong

Yang, Yun‐Fei

Cai, Yong‐Feng

Wang, Chang‐Hao

Lai, Chen

Hao, Yao‐Wu

Wang, Jin‐Shu https://orcid.org/0000-0002-7970-665X
Funding

Funding for this research was provided by:

National Natural Science Foundation of China (11804012)

National Natural Science Foundation of China (52130407)

National Natural Science Foundation of China (11804012)

National Natural Science Foundation of China (52130407)

National Natural Science Fund for Innovative Research Groups (51621003)
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Text and Data Mining valid from 2023-05-02

Text and Data Mining valid from 2023-05-02

Version of Record valid from 2023-05-02
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Article History

Received: 2 August 2022

Revised: 14 September 2022

Accepted: 14 September 2022

First Online: 2 May 2023

Declarations

:

: The authors declare that they have no conflict of interest.