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Pattern Recognition Analysis of Lattice-match and Thermo-match for Sample Collection Containing ZnO Semiconductor Material
Zhang Zhaochun*,Cui Deliang,Huang Baibiao,Jiang Minhua
Author NameAffiliationE-mail
Zhang Zhaochun* Institute ofCrystal Materials, Shandong University, Jinan 250100 dlcui@icm.sdu.edu.cn 
Cui Deliang Institute ofCrystal Materials, Shandong University, Jinan 250100  
Huang Baibiao Institute ofCrystal Materials, Shandong University, Jinan 250100  
Jiang Minhua Institute ofCrystal Materials, Shandong University, Jinan 250100  
Abstract:
Some pattern recognition methods including dynamic clustering analysis, minimal spanning tree and principal component analysis have been used to recognize the extents of both lattice-match and thermo-matchat300KforthesamplescontainingZnOsemiconductormaterial. Fromthepatternrecognitionanal-ysis, it is concluded that there exists a lower lattice and thermal misfitsbetween ZnOand threeⅢ-Ⅴgroup nitrides. The results alsoshow that pattern recognition analysisseems to be asuitable tool toselect substrate or bufferlayerforepitaxygrowth, aswellastodesignoptoelectronicdevicesofblueandvioletlightsemicon-ductor materials, such as ZnO and GaN.
Key words:  ZnO, lattice-match, Thermo-match, Pattern recognition analysis
FundProject:
含ZnO样本集晶格匹配和热匹配的模式识别分析
张兆春*,崔得良,黄柏标,蒋民华
摘要:
利用动态聚类分析、最小生成树、主成分分析等模式识别方法,对含ZnO半导体材料的样本集中各样本之间在300K时的晶格匹配与热匹配程度进行了分析。结果表明:在300K时,三种Ⅲ-Ⅴ族氮化物AlN、GaN、InN与ZnO材料之间的晶格匹配和热匹配程度最好。由最小生成树以及主成分二维映射结果可知两类样本分区明显,分类效果良好,表明利用模式识别方法可对含ZnO样本集中各样本之间的晶格匹配和热匹配程度进行识别。
关键词:  ZnO  晶格匹配  热匹配  模式识别
DOI:10.1088/1674-0068/13/5/562-566
分类号: