P. Mason, K.P. Cheung, D. Hwang, M. Creusen, R. Degraeve, B. Kaczer
{"title":"天线试验结果的定量良率和可靠性预测——一个案例研究","authors":"P. Mason, K.P. Cheung, D. Hwang, M. Creusen, R. Degraeve, B. Kaczer","doi":"10.1109/VLSIT.2000.852784","DOIUrl":null,"url":null,"abstract":"To monitor plasma charging damage, it is common to use extremely large antenna ratio (AR) testers to improve sensitivity. Calculating how the measured damage to these large AR testers impacts product is a serious issue that has not yet been resolved. Without the ability to predict the damage impact to product, and hence to quantitatively establish antenna design rules, the only way to ensure product reliability is to reduce damage as best we can and to use tight design rules. Such practice is extremely costly and provides no assurance. The purpose of this paper is to illustrate a quantitative methodology to deal with the above-mentioned problem using a real example.","PeriodicalId":268624,"journal":{"name":"2000 Symposium on VLSI Technology. Digest of Technical Papers (Cat. No.00CH37104)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Quantitative yield and reliability projection from antenna test results-a case study\",\"authors\":\"P. Mason, K.P. Cheung, D. Hwang, M. Creusen, R. Degraeve, B. Kaczer\",\"doi\":\"10.1109/VLSIT.2000.852784\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To monitor plasma charging damage, it is common to use extremely large antenna ratio (AR) testers to improve sensitivity. Calculating how the measured damage to these large AR testers impacts product is a serious issue that has not yet been resolved. Without the ability to predict the damage impact to product, and hence to quantitatively establish antenna design rules, the only way to ensure product reliability is to reduce damage as best we can and to use tight design rules. Such practice is extremely costly and provides no assurance. The purpose of this paper is to illustrate a quantitative methodology to deal with the above-mentioned problem using a real example.\",\"PeriodicalId\":268624,\"journal\":{\"name\":\"2000 Symposium on VLSI Technology. Digest of Technical Papers (Cat. No.00CH37104)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2000-06-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2000 Symposium on VLSI Technology. Digest of Technical Papers (Cat. No.00CH37104)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VLSIT.2000.852784\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 Symposium on VLSI Technology. Digest of Technical Papers (Cat. No.00CH37104)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSIT.2000.852784","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quantitative yield and reliability projection from antenna test results-a case study
To monitor plasma charging damage, it is common to use extremely large antenna ratio (AR) testers to improve sensitivity. Calculating how the measured damage to these large AR testers impacts product is a serious issue that has not yet been resolved. Without the ability to predict the damage impact to product, and hence to quantitatively establish antenna design rules, the only way to ensure product reliability is to reduce damage as best we can and to use tight design rules. Such practice is extremely costly and provides no assurance. The purpose of this paper is to illustrate a quantitative methodology to deal with the above-mentioned problem using a real example.