Experimental Feedback to Improve the Extrapolation of Machine Learning: Application to Design of PM Cu–Al–Fe

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Experimental Feedback to Improve the Extrapolation of Machine Learning: Application to Design of PM Cu–Al–Fe–Ni Alloys

Published:2023-02-18 Issue:7 Volume:76 Page:1781-1787
ISSN:0972-2815
Container-title:Transactions of the Indian Institute of Metals
language:en
Short-container-title:Trans Indian Inst Met

Author:

Xu Bin,Yin Haiqing^ORCID,Zhang Ruijie,Deng Zhenghua,Li Wei

Funder

Beijing Municipal Natural Science Foundation

National Natural Science Foundation of China

USTB Project for fundamental scientific research

Key-Area Research and Development Program of Guangdong Province

the Natural Science Foundation of Chongqing

Publisher

Springer Science and Business Media LLC

Subject

General Arts and Humanities

Link

https://link.springer.com/content/pdf/10.1007/s12666-023-02881-w.pdf

Reference20 articles.

1. Deng Z, Yin H, Zhang C, Zhang G, Li W, Zhang T, Zhang R, Jiang X, and Qu X, Mat Sci Eng: A 759 (2019) 241.

2. Ding Y, Lv Y, Chen K, Zhao B, Han Y, Wang L, and Lu W, Mat Sci Eng: A 733 (2018) 361.

3. Dudina D V, Grigoreva T F, Kvashnin V I, Devyatkina E T, Vosmerikov S V, Ukhina A V, Novoselov A N, Legan M A, Esikov M A, Lukyanov Y L, Anisimov A G, Kovaleva S A, and Lyakhov N Z, Mater Lett 312 (2022) 131671.

4. Deng Z-H, Yin H-Q, Jiang X, Zhang C, Zhang G-F, Xu B, Yang G-Q, Zhang T, Wu M, and Qu X-H, Int J Miner Metall Mater 27 (2020) 362.

5. Liu J, Liu X, Huang H, and Xie J, Chin J Nonferrous Metals 21 (2011) 1052.

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