An Explainable Deep Learning Model Based on Multi-scale Microstructure Information for Establishing Composition–Microstructure–Property Relationship of Aluminum Alloys-Reference-Cited by-同舟云学术

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

Published:2024-08-12 Issue:3 Volume:13 Page:827-842
ISSN:2193-9764
Container-title:Integrating Materials and Manufacturing Innovation
language:en
Short-container-title:Integr Mater Manuf Innov

Author:

Ma Jiale,Zhang Wenchao,Han Zhiqiang,Xu Qingyan,Zhao Haidong

Funder

Beijing Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s40192-024-00374-2.pdf

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