Current position: Home >> Scientific Research >> Paper Publications

Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization

Release Time:2024-12-15  Hits:

Date of Publication: 2024-12-10

Journal: MATERIALS RESEARCH LETTERS

ISSN: 2166-3831

Key Words: BEHAVIOR; DUCTILITY; ELECTRICAL-CONDUCTIVITY; MICROSTRUCTURE; TRADE-OFF

Prev One:Mao-based solid-like slippery composite coating with superior corrosion resistance and robust machinery performance upon magnesium-lithium alloy LA81

Next One:The precipitation behavior of natural aging for Al-Cu-Li alloy after homogenization