典型文献
Recent progress in the machine learning-assisted rational design of alloys
文献摘要：
Alloys designed with the traditional trial and error method have encountered several problems, such as long trial cycles and high costs. The rapid development of big data and artificial intelligence provides a new path for the efficient development of metallic materials, that is, machine learning-assisted design. In this paper, the basic strategy for the machine learning-assisted rational design of alloys was introduced. Research progress in the property-oriented reversal design of alloy composition, the screening design of alloy composition based on models es-tablished using element physical and chemical features or microstructure factors, and the optimal design of alloy composition and process para-meters based on iterative feedback optimization was reviewed. Results showed the great advantages of machine learning, including high effi-ciency and low cost. Future development trends for the machine learning-assisted rational design of alloys were also discussed. Interpretable modeling, integrated modeling, high-throughput combination, multi-objective optimization, and innovative platform building were suggested as fields of great interest.
文献关键词：
中图分类号：
作者姓名：
Huadong Fu;Hongtao Zhang;Changsheng Wang;Wei Yong;Jianxin Xie
作者机构：
Beijing Advanced Innovation Center for Materials Genome Engineering,University of Science and Technology Beijing,Beijing 100083,China;Key Laboratory for Advanced Materials Processing(MOE),University of Science and Technology Beijing,Beijing 100083,China;Beijing Laboratory of Metallic Materials and Processing for Modern Transportation,University of Science and Technology Beijing,Beijing 100083,China
文献出处：
引用格式：
[1]Huadong Fu;Hongtao Zhang;Changsheng Wang;Wei Yong;Jianxin Xie-.Recent progress in the machine learning-assisted rational design of alloys)[J].矿物冶金与材料学报,2022(04):635-644
A类：
B类：
Recent,progress,machine,learning,assisted,rational,alloys,Alloys,designed,traditional,trial,error,method,have,encountered,several,problems,such,long,cycles,high,costs,rapid,development,big,data,artificial,intelligence,provides,new,path,efficient,metallic,materials,that,this,paper,basic,strategy,was,introduced,Research,property,oriented,reversal,composition,screening,models,tablished,using,element,physical,chemical,features,microstructure,factors,optimal,process,para,meters,iterative,feedback,optimization,reviewed,Results,showed,great,advantages,including,ciency,low,Future,trends,were,also,discussed,Interpretable,modeling,integrated,throughput,combination,multi,objective,innovative,platform,building,suggested,fields,interest
AB值：
0.596276
相似文献
机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
