电子束模对库检测的网络溯源与分类分析

Weihong Gao, Xuefeng Zeng, Peter Lin, Yan Pan, Ho Young Song, Hoang Nguyen, Na Cai, Zhijin Chen, Khurram Zafar
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引用次数: 3

摘要

建立了一种新的电子束(E-Beam)模对库(D2DB)接触层和通孔层检测结果的分类方法。它是一种设计引导的缺陷分类流程,有助于从大量的假警报缺陷中精确地指出真正的缺陷。模具到数据库电子束检测具有显著的特点,可以帮助发现系统缺陷,如破损的通孔和缺失的通孔;这将被报告为DVC(暗电压对比)缺陷。然而,D2DB结果通常报告数百万个位于“活动通道”和“浮动通道”上的缺陷,前者是兴趣缺陷(DOI),后者没有什么意义。DOI(在活动通孔上)和滋扰(在浮动通孔上)的混杂是使用D2DB查找系统通孔缺陷的挑战。我们将电子束缺陷位置叠加到设计布局文件(GDS或OASIS)上,并跟踪通孔的路径,以确定它是否连接到有源层或扩散层,从而克服了这一挑战。我们提出的流程使用锚点热点解决方案(AHS)中的网络跟踪分类(NTC)功能,根据触点的电连通性将所有报告的DVC缺陷分类为不同的组。这种分类涉及多个相互连接的流程层。所有报告的DVC缺陷将被分为三组:(1)真实的DVC缺陷,其中网络追踪到活动层;(2)假DVC 1型,网络一直追踪到门(门总是暗的);(3)假DVC类型2,其中网络追溯到浮动金属(也总是黑色的)。这种增强的缺陷分类非常有助于将真正的DVC接触/通道缺陷与错误警报分开。它的第二个好处是减少缺陷的总数,这对后续深入的数据分析很有帮助。此外,经过验证的真实DVC位置可用于生成E-Beam模对模(D2D)检查的护理区域,从而有效提高吞吐量并减少周转时间(TAT)。在本文中,我们将讨论Vx层的一个用例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Net tracing and classification analysis on E-beam die-to-database inspection
A novel classification methodology is constructed for Electron Beam (E-Beam) die-to-database (D2DB) inspection results on contact and via layers. It is a design guided defects classification flow that helps to pin-point true defects from a large amount of false alarm defects. Die-to-database E-beam inspection has remarkable features that can help find systematic defects such as Damaged Via and Missing Via; which will be reported as DVC (Dark Voltage Contrast) defects. However, the D2DB result usually reports millions of defects that lie on both ‘active via’ and ‘floating via’, the former being defects-of-interest (DOI), and the latter being of little significance. The indiscriminant mixture of DOI (on active vias) and nuisance (on floating vias) is a challenge in the use of D2DB for finding systematic via defects. We overcome this challenge by overlaying the E-beam defect location onto the design layout file (GDS or OASIS) and tracing the path of the via to determine whether or not it connects to the active or diffusion layer. Our proposed flow uses Net Tracing Classification (NTC) feature in Anchor Hotspot Solution (AHS) to classify all the reported DVC defects into different groups, according to the electrical connectivity of the contact. This classification involves multiple interconnected process layers. All the reported DVC defects will be classified into three groups: (1) Real DVC defects, in which the net traces down to active layer; (2) False DVC type 1, in which the net traces down to gate (which is always dark); (3) False DVC type 2, in which the net traces down to floating metal (which is always dark as well). This enhanced defect classification is greatly helpful in separating real DVC contact/via defects from false alarms. It has a secondary benefit of reducing the total number of defects, which is helpful for subsequent in-depth data analysis. In addition, the verified real DVC locations can be used to generate care areas for E-Beam die-to-die (D2D) inspection, which can effectively improve throughput and reduce the turn-around-time (TAT). In this paper, we will discuss a use case at the Vx layer.
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