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
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;
Conference_Titel :
Natural Computation (ICNC), 2013 Ninth International Conference on
Conference_Location :
Shenyang
DOI :
10.1109/ICNC.2013.6818090
