首页> 外文会议>Annual SEMI Advanced Semiconductor Manufacturing Conference >Leveraging puma DF wafer inspection to characterize root cause of yield loss on an advanced 32 nm HKMG SOI technology device
【24h】

Leveraging puma DF wafer inspection to characterize root cause of yield loss on an advanced 32 nm HKMG SOI technology device

机译:利用puma DF晶圆检查来确定先进的32 nm HKMG SOI技术设备上良率损失的根本原因

获取原文

摘要

This paper presents a systematic methodology to enable Puma double dark field wafer inspection tool to detect key yield related defect that causes micro-masking defects in the Gate module / sector of an advanced 32nm High-K Metal Gate (HKMG) SOI technology device. Two approaches were adapted to detect the source of the micro-masking defect, namely (i) Patterned wafer inspection in High K metal Gate module to understand the initial findings (ii) Collaborative work with other advanced fabs (Partners) that led to a systematic partitioning approach through the Front End of the Line (FEOL) sectors to exactly pinpoint the root cause of the yield loss in Gate sector. Based on the above systematic partitioning approach, the source of the embedded defect that causes yield loss in gate sector was successfully identified. This methodology has also enabled a process fix to be put in place for reducing the addition of embedded defects in the FEOL sector and has directly helped in improving the yield in FEOL sector. This paper also discusses the advantage of collaborating with different wafer manufacturing companies (IBM partners) in being able to successfully identify root cause of key yield limiting issues.
机译:本文提出了一种系统化的方法,以使Puma双暗场晶圆检测工具能够检测与良率相关的关键缺陷,这些缺陷会导致先进的32nm高K金属栅极(HKMG)SOI技术器件的栅极模块/扇区中的微掩膜缺陷。两种方法适用于检测微掩膜缺陷的来源,即(i)在高K金属浇口模块中进行图案化晶圆检查以了解初步发现(ii)与其他先进晶圆厂(合作伙伴)的协同工作导致了系统化通过线前端(FEOL)扇区进行分区的方法,以准确查明门扇区的良率损失的根本原因。基于上述系统划分方法,成功地确定了导致栅极部门良率损失的嵌入式缺陷源。这种方法还使得能够进行工艺修复,以减少FEOL部门中嵌入​​缺陷的增加,并直接帮助提高了FEOL部门的良率。本文还讨论了与不同的晶圆制造公司(IBM合作伙伴)合作,能够成功识别关键的产量限制问题的根本原因的优势。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号