{"title":"非均匀故障时间的空间映射和缺陷聚类的物理证据","authors":"E. Wu, Baozhen Li, J. Stathis, B. Linder, T. Shaw","doi":"10.1109/VLSIT.2014.6894386","DOIUrl":null,"url":null,"abstract":"For the first time, we report a spatial mapping methodology to directly obtain spatial BD distributions from TDDB data at wafer-scales. The results reveal BD defects are strongly clustered towards later stress times and explain the root-cause of non-Poisson area-scaling in agreement with recently developed time-dependent clustering model [3,4]. This methodology provides important detailed information for process diagnosis and improvement as well as realistic reliability assessment in future technologies as variability issues continue to rise.","PeriodicalId":105807,"journal":{"name":"2014 Symposium on VLSI Technology (VLSI-Technology): Digest of Technical Papers","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Spatial mapping of non-uniform time-to-breakdown and physical evidence of defect clustering\",\"authors\":\"E. Wu, Baozhen Li, J. Stathis, B. Linder, T. Shaw\",\"doi\":\"10.1109/VLSIT.2014.6894386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the first time, we report a spatial mapping methodology to directly obtain spatial BD distributions from TDDB data at wafer-scales. The results reveal BD defects are strongly clustered towards later stress times and explain the root-cause of non-Poisson area-scaling in agreement with recently developed time-dependent clustering model [3,4]. This methodology provides important detailed information for process diagnosis and improvement as well as realistic reliability assessment in future technologies as variability issues continue to rise.\",\"PeriodicalId\":105807,\"journal\":{\"name\":\"2014 Symposium on VLSI Technology (VLSI-Technology): Digest of Technical Papers\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-06-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Symposium on VLSI Technology (VLSI-Technology): Digest of Technical Papers\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIT.2014.6894386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Symposium on VLSI Technology (VLSI-Technology): Digest of Technical Papers","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIT.2014.6894386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spatial mapping of non-uniform time-to-breakdown and physical evidence of defect clustering
For the first time, we report a spatial mapping methodology to directly obtain spatial BD distributions from TDDB data at wafer-scales. The results reveal BD defects are strongly clustered towards later stress times and explain the root-cause of non-Poisson area-scaling in agreement with recently developed time-dependent clustering model [3,4]. This methodology provides important detailed information for process diagnosis and improvement as well as realistic reliability assessment in future technologies as variability issues continue to rise.