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An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys

Crossref DOI link: https://doi.org/10.1007/s40192-024-00374-2

Published Online: 2024-08-12

Published Print: 2024-09

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

Authors

Ma, Jiale

Zhang, Wenchao

Han, Zhiqiang

Xu, Qingyan

Zhao, Haidong
Funding

Funding for this research was provided by:

Beijing Natural Science Foundation (L223001)
License Information

Text and Data Mining valid from 2024-08-12

Version of Record valid from 2024-08-12
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Article History

Received: 2 June 2024

Accepted: 25 July 2024

First Online: 12 August 2024

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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