{"title":"可靠性预测中失效物理的工业共识方法","authors":"L. Bechtold","doi":"10.1109/RAMS.2010.5448043","DOIUrl":null,"url":null,"abstract":"Traditional reliability prediction methods are being confounded by current and near future semiconductor technologies, as gate feature sizes shrink below 100 nanometers (nm) causing the emergence of atomic level failure mechanisms and early wearout. These devices and their failure characteristics are rapidly changing as the semiconductor industry aggressively pursues scaling in a highly competitive marketplace. The Physics of Failure (PoF) approach to reliability has advantages for assessing these technologies. Industry groups are adapting PoF research results for use in predicting reliability for these technologies. This paper describes industry collaborative efforts in developing new reliability prediction approaches to meet future industry challenges.","PeriodicalId":299782,"journal":{"name":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Industry consensus approach to physics of failure in reliability prediction\",\"authors\":\"L. Bechtold\",\"doi\":\"10.1109/RAMS.2010.5448043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Traditional reliability prediction methods are being confounded by current and near future semiconductor technologies, as gate feature sizes shrink below 100 nanometers (nm) causing the emergence of atomic level failure mechanisms and early wearout. These devices and their failure characteristics are rapidly changing as the semiconductor industry aggressively pursues scaling in a highly competitive marketplace. The Physics of Failure (PoF) approach to reliability has advantages for assessing these technologies. Industry groups are adapting PoF research results for use in predicting reliability for these technologies. This paper describes industry collaborative efforts in developing new reliability prediction approaches to meet future industry challenges.\",\"PeriodicalId\":299782,\"journal\":{\"name\":\"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAMS.2010.5448043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Proceedings - Annual Reliability and Maintainability Symposium (RAMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAMS.2010.5448043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Industry consensus approach to physics of failure in reliability prediction
Traditional reliability prediction methods are being confounded by current and near future semiconductor technologies, as gate feature sizes shrink below 100 nanometers (nm) causing the emergence of atomic level failure mechanisms and early wearout. These devices and their failure characteristics are rapidly changing as the semiconductor industry aggressively pursues scaling in a highly competitive marketplace. The Physics of Failure (PoF) approach to reliability has advantages for assessing these technologies. Industry groups are adapting PoF research results for use in predicting reliability for these technologies. This paper describes industry collaborative efforts in developing new reliability prediction approaches to meet future industry challenges.