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Static fault localization of subtle metallization defects using near infrared photon emission microscopy

机译:使用近红外光子发射显微镜对微小金属化缺陷进行静态故障定位

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In this paper, two electroluminescence phenomena, which enabled the static electrical fault localization of subtle back-end-of-line metallization defects using near-infrared photon emission microscopy in the logic circuitry and the memory array, are described. In the logic circuitry, through the study of the defect-induced hot carrier emissions from the combinational logic gates, distinctive differences in emission characteristic between open and short defects are identified. Using this defect induced emission characterization approach, together with layout trace and analysis, the type of defect can be predicted. The defect physical location, which yielded no detectable hotspot signal, can also be narrowed down along the long failure net. This allows for the selection of the most appropriate physical failure analysis approach for defect viewing and thus achieving significant reduction in failure analysis cycle time. In the memory array, the weak emission from partially turned-on pass gate transistor is leveraged to localize marginal opens and shorts on the wordline node of the pass-gate transistor. These approaches are applied with great success in the foundry environment to localize yield limiting defects that resulted in SCAN and memory build-in self-test failure, without memory bitmap, diagnostic support or measurable 'OD leakage, on advanced technology nodes devices. A discussion on the factors that influence the success rate of this approach is also provided. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在本文中,描述了两种电致发光现象,它们可以使用逻辑电路和存储阵列中的近红外光子发射显微镜对细微的后端金属化缺陷进行静态电故障定位。在逻辑电路中,通过研究组合逻辑门引起的缺陷引起的热载流子发射,可以确定开路和短路缺陷之间在发射特性上的明显差异。使用这种缺陷引起的发射特征化方法,以及布局跟踪和分析,可以预测缺陷的类型。缺陷物理位置不会产生可检测到的热点信号,也可以沿着较长的故障网络缩小范围。这允许选择最合适的物理故障分析方法来查看缺陷,从而显着减少故障分析周期。在存储器阵列中,来自部分导通的传输门晶体管的弱发射被利用来定位传输门晶体管的字线节点上的边际开路和短路。这些方法在铸造环境中获得了巨大的成功,可用于定位产量受限的缺陷,这些缺陷会导致SCAN和内存内置的自检失败,而无需在高级技术节点设备上使用内存位图,诊断支持或可测量的'OD泄漏。还讨论了影响该方法成功率的因素。 (C)2017 Elsevier Ltd.保留所有权利。

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