K. Lin, C. H. Chao, Tsui-hua Huang, Hsiu-Mei Fan, Shey-Shi Lu
{"title":"Electron energy loss spectrum application for failure mechanism investigation in semiconductor failure analysis","authors":"K. Lin, C. H. Chao, Tsui-hua Huang, Hsiu-Mei Fan, Shey-Shi Lu","doi":"10.1109/RELPHY.2008.4558950","DOIUrl":null,"url":null,"abstract":"Electron energy loss spectrum (EELS) is widely used for material science analysis (F. R. Chen at al., 1998)(D. B. Williams et al., 1996), such as analyzing material elemental analysis and chemistry compound (Y. Mitsui et al., 1998)(M. Shimada et al., 2005). In semiconductor failure analysis, EELS provides clear evidence for investigating and identifying failure mechanisms and root cause discussions. There are three failure analysis cases in this article. The first one is the nearest atomic number failure analysis. The Z contrast of TEM image is not easy distinguished from Al (13), Si (14), which is obviously identified by EELS Al-K(1560ev) and Si-K(1839ev). [5] The second case is realized from the EELS result, the failure mechanism is silicon dioxide residue that resulted in a transistor out of specification. The third case is a barrier bridge identified by EELS mapping. From the EELS evidence, the root cause is identified as a insufficient tungsten back chemical mechanical polishing (W-back-CMP). Based on clear identification, the EELS application for failure mechanism investigation is very useful and helpful in Semiconductor Failure Analysis.","PeriodicalId":187696,"journal":{"name":"2008 IEEE International Reliability Physics Symposium","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE International Reliability Physics Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RELPHY.2008.4558950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Electron energy loss spectrum (EELS) is widely used for material science analysis (F. R. Chen at al., 1998)(D. B. Williams et al., 1996), such as analyzing material elemental analysis and chemistry compound (Y. Mitsui et al., 1998)(M. Shimada et al., 2005). In semiconductor failure analysis, EELS provides clear evidence for investigating and identifying failure mechanisms and root cause discussions. There are three failure analysis cases in this article. The first one is the nearest atomic number failure analysis. The Z contrast of TEM image is not easy distinguished from Al (13), Si (14), which is obviously identified by EELS Al-K(1560ev) and Si-K(1839ev). [5] The second case is realized from the EELS result, the failure mechanism is silicon dioxide residue that resulted in a transistor out of specification. The third case is a barrier bridge identified by EELS mapping. From the EELS evidence, the root cause is identified as a insufficient tungsten back chemical mechanical polishing (W-back-CMP). Based on clear identification, the EELS application for failure mechanism investigation is very useful and helpful in Semiconductor Failure Analysis.
电子能量损失谱(EELS)广泛应用于材料科学分析(F. R. Chen at al., 1998)。B. Williams et al., 1996),例如分析材料元素分析和化学化合物(Y. Mitsui et al., 1998)。Shimada et al., 2005)。在半导体故障分析中,EELS为调查和识别故障机制和根本原因讨论提供了明确的证据。本文中有三个失效分析案例。第一个是最接近原子序数的失效分析。TEM图像的Z对比不容易与Al(13)、Si(14)区分,用EELS Al- k (1560ev)和Si- k (1839ev)可以明显区分。第二种情况是由EELS结果实现的,失效机制是二氧化硅残留导致晶体管不符合规格。第三种情况是EELS映射确定的屏障桥。从EELS证据来看,根本原因被确定为钨背化学机械抛光(W-back-CMP)不足。基于对失效机理的明确认识,利用电子能谱进行失效机理研究对半导体失效分析具有重要意义。