通过启用基于设计的检测来提高DRAM的灵敏度

Y.M. Lu, J.W. Huang, K. Hsiao, Joe Chen, Alex T. Cheng
{"title":"通过启用基于设计的检测来提高DRAM的灵敏度","authors":"Y.M. Lu, J.W. Huang, K. Hsiao, Joe Chen, Alex T. Cheng","doi":"10.1109/ASMC.2019.8791745","DOIUrl":null,"url":null,"abstract":"With shrinking design rules, detecting tiny defects of interest (DOI) is becoming more challenging for wafer inspection tools. Using design-based care areas for inspection systems to characterize DOI has been well established in recent years. KLA’s 293x broadband plasma (BBP) optical patterned wafer inspection system uses a high intensity laser pumped plasma illumination source, which enables selectable wavelength bands, and is also optimized for a design-based care area methodology to inspect critical patterns with higher sensitivity and to reduce nuisance rates in noisy regions. In this study, by enabling a design-based care area, the CAB (care area border) size will be further reduced to 0.05 ~ 0.1µm to scan more of the critical area. In a WCMP layer, unique microscratch DOI were successfully detected in the SA (sense amplifier) region, and 8.6x higher contact missing defects were captured in the target region compared to the legacy care area methodology.","PeriodicalId":287541,"journal":{"name":"2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensitivity Enhancement by Enabling Design-Based Inspection for DRAM\",\"authors\":\"Y.M. Lu, J.W. Huang, K. Hsiao, Joe Chen, Alex T. Cheng\",\"doi\":\"10.1109/ASMC.2019.8791745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With shrinking design rules, detecting tiny defects of interest (DOI) is becoming more challenging for wafer inspection tools. Using design-based care areas for inspection systems to characterize DOI has been well established in recent years. KLA’s 293x broadband plasma (BBP) optical patterned wafer inspection system uses a high intensity laser pumped plasma illumination source, which enables selectable wavelength bands, and is also optimized for a design-based care area methodology to inspect critical patterns with higher sensitivity and to reduce nuisance rates in noisy regions. In this study, by enabling a design-based care area, the CAB (care area border) size will be further reduced to 0.05 ~ 0.1µm to scan more of the critical area. In a WCMP layer, unique microscratch DOI were successfully detected in the SA (sense amplifier) region, and 8.6x higher contact missing defects were captured in the target region compared to the legacy care area methodology.\",\"PeriodicalId\":287541,\"journal\":{\"name\":\"2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASMC.2019.8791745\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 30th Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASMC.2019.8791745","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

随着设计规则的不断缩小,检测微小的感兴趣缺陷(DOI)对晶圆检测工具来说变得越来越具有挑战性。近年来,使用基于设计的护理区域作为检测系统来表征DOI已经得到了很好的建立。KLA的293x宽带等离子体(BBP)光学图案晶圆检测系统使用高强度激光泵浦等离子体照明源,实现可选择的波长带,并且还针对基于设计的护理区域方法进行了优化,以更高的灵敏度检查关键图案,并减少噪声区域的滋扰率。在本研究中,通过启用基于设计的护理区,CAB(护理区边界)尺寸将进一步减小到0.05 ~ 0.1µm,以扫描更多的关键区域。在WCMP层中,在SA(感测放大器)区域成功检测到独特的微划痕DOI,与遗留护理区域方法相比,在目标区域捕获的接触缺失缺陷高8.6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Sensitivity Enhancement by Enabling Design-Based Inspection for DRAM
With shrinking design rules, detecting tiny defects of interest (DOI) is becoming more challenging for wafer inspection tools. Using design-based care areas for inspection systems to characterize DOI has been well established in recent years. KLA’s 293x broadband plasma (BBP) optical patterned wafer inspection system uses a high intensity laser pumped plasma illumination source, which enables selectable wavelength bands, and is also optimized for a design-based care area methodology to inspect critical patterns with higher sensitivity and to reduce nuisance rates in noisy regions. In this study, by enabling a design-based care area, the CAB (care area border) size will be further reduced to 0.05 ~ 0.1µm to scan more of the critical area. In a WCMP layer, unique microscratch DOI were successfully detected in the SA (sense amplifier) region, and 8.6x higher contact missing defects were captured in the target region compared to the legacy care area methodology.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Fast and accurate defect classification for CMP process monitoring A Deep Learning Model for Identification of Defect Patterns in Semiconductor Wafer Map The Etching of Silicon Nitride in Phosphoric Acid with Novel Single Wafer Processor Methods for RFSOI Damascene Tungsten Contact Etching Using High-Speed Video Analysis for Defect Investigation and Process Improvement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1