DocumentCode
2137705
Title
The application of genetic algorithm for lattice matching of composite structure
Author
Yutao Li ; Hao Xiong ; Guikang Chen ; Zeyu Yan ; Xiao Ji ; Kui Xu ; Ling Miao
Author_Institution
Sch. of Opt. & Electron. Inf., Huazhong Univ. of Sci. & Technol., Wuhan, China
fYear
2013
fDate
23-25 July 2013
Firstpage
829
Lastpage
833
Abstract
Lattice matching is of great significance to the preparation and research of the composite material. Using genetic algorithm (GA), we investigate the lattice matching of the composite structure. The most stable matching of silicon carbide (SiC) and graphene is gotten by using molecular dynamics calculations for example. The results show that the genetic algorithm give an efficient approach than conventional structure optimization method in searching best matched lattice.
Keywords
composite materials; genetic algorithms; molecular dynamics method; silicon compounds; GA; SiC; composite structure; genetic algorithm; lattice matching; molecular dynamics calculations; structure optimization method; Biological cells; Composite materials; Genetic algorithms; Graphene; Lattices; Silicon carbide; genetic algorithm; graphene; lattice matching; silicon carbides;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location
Shenyang
Type
conf
DOI
10.1109/ICNC.2013.6818090
Filename
6818090
Link To Document