{"title":"Stochastic limitations to EUV lithography","authors":"C. Mack","doi":"10.1109/VLSI-TSA.2018.8403862","DOIUrl":null,"url":null,"abstract":"Stochastic-induced roughness continues to be a major concern in the implementation of extreme ultraviolet (EUV) lithography for semiconductor high-volume manufacturing, potentially limiting product yield or lithography throughput or both. For this reason considerable effort has been made in the last 10 years to characterize, understand, and reduce stochastic-induced roughness of post- lithography and post-etch features. Despite these efforts, far too little progress has been made in reducing the effects of stochastics, such as linewidth roughness (LWR), line-edge roughness (LER), local critical dimension uniformity (LCDU), and stochastic defectivity. [1]","PeriodicalId":209993,"journal":{"name":"2018 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA)","volume":"334 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on VLSI Technology, Systems and Application (VLSI-TSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VLSI-TSA.2018.8403862","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Stochastic-induced roughness continues to be a major concern in the implementation of extreme ultraviolet (EUV) lithography for semiconductor high-volume manufacturing, potentially limiting product yield or lithography throughput or both. For this reason considerable effort has been made in the last 10 years to characterize, understand, and reduce stochastic-induced roughness of post- lithography and post-etch features. Despite these efforts, far too little progress has been made in reducing the effects of stochastics, such as linewidth roughness (LWR), line-edge roughness (LER), local critical dimension uniformity (LCDU), and stochastic defectivity. [1]