Han Han, T. Hantschel, P. Lagrain, C. Porret, R. Loo, M. Baryshnikova, B. Kunert, Libor Strakoš, T. Vystavěl
{"title":"Application and Optimization of Automated ECCI Mapping to the Analysis of Lowly Defective Epitaxial Films on Blanket or Patterned Wafers","authors":"Han Han, T. Hantschel, P. Lagrain, C. Porret, R. Loo, M. Baryshnikova, B. Kunert, Libor Strakoš, T. Vystavěl","doi":"10.31399/asm.cp.istfa2021p0211","DOIUrl":null,"url":null,"abstract":"\n The physical limits of CMOS scaling, as predicted by Moore's Law, should have already been reached several years ago. However, the scaling of transistors is still ongoing due to continuous improvements in material quality enabling the fabrication of complex device structures with nm-size dimensions. More than ever, the structural properties and the eventual presence of crystalline defects in the various semiconductor materials (SiGe, III/V) play a critical role. Electron channeling contrast imaging (ECCI) is a powerful defect analysis technique developed in recent years. The technique allows for fast and non-destructive characterizations with the potential for extremely low detection limits. The analysis of lowly defective materials requires measurements over large areas to obtain statistically relevant data. Automated ECCI mapping routines enable the quantification of crystalline defect densities as low as ~1e5 cm-2, e.g., Si0.75Ge0.25 strain relaxed buffers (SRB) epitaxially grown on a Si substrate. Methods to reduce the total measurement time without compromising its sensitivity will be discussed. The measurement routine has also been optimized to detect extended crystalline defects in III/V layers, selectively grown on shallow trench isolation patterned Si wafers. Throughout these examples, this study demonstrates the great potential of ECCI as a versatile and industry-relevant technique for defect analysis.","PeriodicalId":188323,"journal":{"name":"ISTFA 2021: Conference Proceedings from the 47th International Symposium for Testing and Failure Analysis","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ISTFA 2021: Conference Proceedings from the 47th International Symposium for Testing and Failure Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31399/asm.cp.istfa2021p0211","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The physical limits of CMOS scaling, as predicted by Moore's Law, should have already been reached several years ago. However, the scaling of transistors is still ongoing due to continuous improvements in material quality enabling the fabrication of complex device structures with nm-size dimensions. More than ever, the structural properties and the eventual presence of crystalline defects in the various semiconductor materials (SiGe, III/V) play a critical role. Electron channeling contrast imaging (ECCI) is a powerful defect analysis technique developed in recent years. The technique allows for fast and non-destructive characterizations with the potential for extremely low detection limits. The analysis of lowly defective materials requires measurements over large areas to obtain statistically relevant data. Automated ECCI mapping routines enable the quantification of crystalline defect densities as low as ~1e5 cm-2, e.g., Si0.75Ge0.25 strain relaxed buffers (SRB) epitaxially grown on a Si substrate. Methods to reduce the total measurement time without compromising its sensitivity will be discussed. The measurement routine has also been optimized to detect extended crystalline defects in III/V layers, selectively grown on shallow trench isolation patterned Si wafers. Throughout these examples, this study demonstrates the great potential of ECCI as a versatile and industry-relevant technique for defect analysis.