Machine learning-assisted discovery of strong and conductive Cu alloys: Data mining from discarded experiments and physical features

Machine learning-assisted discovery of strong and conductive Cu alloys: Data mining from discarded experiments and physical features

Copper alloys with high strength and electrical conductivity are ideal candidates for a wide range of civilian and engineering applications. Traditional methods of alloy design, such as “trial and error” experiments, are costly and time-consuming, limiting the discovery of Cu alloys. Machine learnin...

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Bibliographic Details
Main Authors: Qingkun Zhao, Huiya Yang, Jiabin Liu, Haofei Zhou, Hongtao Wang, Wei Yang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:Materials & Design
Subjects:
Copper alloys
Machine learning
Hardness
Electrical conductivity
Physical features
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127520307838

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http://www.sciencedirect.com/science/article/pii/S0264127520307838

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