大连理工大学主页平台管理系统康慧君 Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization 中文主页

康慧君

教授

博士生导师硕士生导师
学位：博士
性别：男
毕业院校：哈尔滨工业大学
所在单位：材料科学与工程学院
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Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization

发布时间：2024-12-10 点击次数：

论文类型：期刊论文
论文编号：470955
发表刊物：MATERIALS RESEARCH LETTERS
卷号：13
期号：2
页面范围：94-102
ISSN号：2166-3831
关键字：BEHAVIOR; DUCTILITY; ELECTRICAL-CONDUCTIVITY; MICROSTRUCTURE; TRADE-OFF

上一条：The precipitation behavior of natural aging for Al-Cu-Li alloy after homogenization

下一条：Mao-based solid-like slippery composite coating with superior corrosion resistance and robust machinery performance upon magnesium-lithium alloy LA81

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