Machine learning-based performance predictions for steels considering manufacturing process parameters: a review-Reference-Cited by-同舟云学术

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Machine learning-based performance predictions for steels considering manufacturing process parameters: a review

Published:2024-03-19 Issue:7 Volume:31 Page:1555-1581
ISSN:1006-706X
Container-title:Journal of Iron and Steel Research International
language:en
Short-container-title:J. Iron Steel Res. Int.

Author:

Fang Wei,Huang Jia-xin,Peng Tie-xu,Long Yang,Yin Fu-xing

Funder

the National Natural Science Foundation of China

the Natural Science Foundation of Hebei Province

the Key-Area R&D Program of Guangdong Province

Guangdong Academy of Science

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s42243-024-01179-5.pdf

Reference159 articles.

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2. B. Sun, W. Lu, B. Gault, R. Ding, S.K. Makineni, D. Wan, C.H. Wu, H. Chen, D. Ponge, D. Raabe, Nat. Mater. 20 (2021) 1629–1634.

3. J. Du, S. Jiang, P. Cao, C. Xu, Y. Wu, H. Chen, E. Fu, Z. Lu, Nat. Mater. 22 (2023) 442–449.

4. J.F. Durodola, Prog. Mater. Sci. 123 (2022) 100797.

5. M.I. Jordan, T.M. Mitchell, Science 349 (2015) 255–260.

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