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含ZnO样本集晶格匹配和热匹配的模式识别分析
引用本文:张兆春,崔得良,黄柏标,蒋民华.含ZnO样本集晶格匹配和热匹配的模式识别分析[J].化学物理学报(中文版),2000,13(5):562-566.
作者姓名:张兆春  崔得良  黄柏标  蒋民华
作者单位:山东大学晶体材料研究所, 济南 250100  
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300 K时的晶格匹配与热匹配程度进行了分析。结果表明:在300 K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:晶格匹配  热匹配  模式识别

Pattern Recognition Analysis of Lattice-match and Thermo-match for Sample Collection Containing ZnO Semiconductor Material
Zhang Zhaochun,Cui Deliang,Huang Baibiao,Jiang Minhua.Pattern Recognition Analysis of Lattice-match and Thermo-match for Sample Collection Containing ZnO Semiconductor Material[J].化学物理学报(中文版),2000,13(5):562-566.
Authors:Zhang Zhaochun  Cui Deliang  Huang Baibiao  Jiang Minhua
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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.
Keywords:ZnO
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