{"title":"一种考虑工艺变化的一维工艺余量计算方法","authors":"T. Miwa, T. Noda, T. Akiyama, S. Sugimoto","doi":"10.1109/IWSTM.1999.773196","DOIUrl":null,"url":null,"abstract":"Yield and device characteristics in VLSI become more sensitive to process variations with finer patterns and enlargement of wafer size. Thus, process integration should take account of the inter- and intra-wafer process variations for elimination of yield loss. However, it is difficult to perform experiments which cover possible process variations because of cost and time. In this paper, we describe a new method for calculating a process margin for processes such as etching and deposition with consideration of process variations using the Monte Carlo method.","PeriodicalId":253336,"journal":{"name":"1999 4th International Workshop on Statistical Metrology (Cat. No.99TH8391)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A new method for calculating one-dimensional process margin in consideration of process variations\",\"authors\":\"T. Miwa, T. Noda, T. Akiyama, S. Sugimoto\",\"doi\":\"10.1109/IWSTM.1999.773196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Yield and device characteristics in VLSI become more sensitive to process variations with finer patterns and enlargement of wafer size. Thus, process integration should take account of the inter- and intra-wafer process variations for elimination of yield loss. However, it is difficult to perform experiments which cover possible process variations because of cost and time. In this paper, we describe a new method for calculating a process margin for processes such as etching and deposition with consideration of process variations using the Monte Carlo method.\",\"PeriodicalId\":253336,\"journal\":{\"name\":\"1999 4th International Workshop on Statistical Metrology (Cat. No.99TH8391)\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1999 4th International Workshop on Statistical Metrology (Cat. No.99TH8391)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWSTM.1999.773196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1999 4th International Workshop on Statistical Metrology (Cat. No.99TH8391)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWSTM.1999.773196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new method for calculating one-dimensional process margin in consideration of process variations
Yield and device characteristics in VLSI become more sensitive to process variations with finer patterns and enlargement of wafer size. Thus, process integration should take account of the inter- and intra-wafer process variations for elimination of yield loss. However, it is difficult to perform experiments which cover possible process variations because of cost and time. In this paper, we describe a new method for calculating a process margin for processes such as etching and deposition with consideration of process variations using the Monte Carlo method.