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

Release Time:2024-10-31  Hits:

Date of Publication: 2024-10-24

Journal: Materials Science and Engineering: A

Volume: 916

ISSN: 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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