数智驱动稀贵金属材料基因工程的应用及发展研究  

Study on Application and Development of Genetic Engineering of Precious Metals Materials Driven by Digital Intelligence

作　　者：黄琳 杨晶晶[1] 黄铭[1] 熊凯[2] HUANG Lin;YANG Jingjing;HUANG Ming;XIONG Kai(Faculty of Information,Yunnan University,Kunming,Yunnan 650093,China;Faculty of Material Science,Yunnan University,Kunming,Yunnan 650093,China)

机构地区：[1]云南大学信息学院,云南昆明650091 [2]云南大学材料学院,云南昆明650091

出　　处：《云南冶金》2024年第3期191-199,共9页Yunnan Metallurgy

基　　金：国家自然科学基金项目(61963037,61863035);云南省科技重大专项(202002AB080001)。

摘　　要：概述了国内外材料数据库现状及稀贵金属材料基因工程建设情况,以贵金属钎焊新材料、无铅焊料合金为例阐述了智能驱动稀贵金属材料基因工程的应用,并对Ag-Cu钎焊料的熔点进行了回归预测研究。针对稀贵材料基因数据库数据安全共享实际需求存在的不足,分析了稀贵金属材料基因数据库面临的问题和挑战,提出了共享和开放开发智能一体化的发展方向。The current situation of material databases and the construction of precious metals genetic engineering in domestic and abroad are summarized,taking precious metals'new brazing materials,lead-free solder alloy as the example to describe the application of digital intelligence drive on precious metals genetic engineering,and the regression prediction studies was carried out for the melting point of Ag-Cu brazing materials.The actual demand for secure sharing of precious metals'genetic databases is not enough,so problems and challenges faced by precious metals'genetic engineering databases were analyzed,it is proposed the intelligent,integrative development direction for sharing and opening of databases.

关 键 词：材料基因工程 稀贵金属 人工智能 机器学习 

分 类 号：TF803.21[冶金工程—有色金属冶金]