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Microstructure and properties of Cu-3Ti-0.3Cr-0.15Mg alloy designed via machine learning

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Date of Publication:2024-10-24

Journal:Materials Science and Engineering: A

Volume:916

ISSN No.:0921-5093

Key Words:Alloy designs; Copper alloys; Machine-learning; Machine learning models; Major elements; Material science; Mg alloy; Microstructure and properties; Precipitation strengthening; Property; Titanium alloys; Trial and error

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