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e-Beam detection of over-etch in semiconductor processing and how over-etch level is related to defect detection parameters

机译:电子光束检测半导体处理中的过蚀刻以及如何过蚀刻水平与缺陷检测参数有关

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Some over-etch (OE) related defects in semiconductor device processing are only obvious after vias or trenches are already filled. Such defects are usually buried and often discovered after failure analysis from failed devices. Inline detection by physical means using optical inspection tools is not possible. e-Beam inspection has the ability to detect this type of defect electrically. OE related defects create shorts or leakage paths and their ability to cause device failure depends on the level or extent of this leakage. Hard OE fail impacts yield while marginal OE is relatively harmless. e-Beam inspection detects both hard OE fail and marginal OE as bright voltage contrast (BVC) and it has always been a challenge to discern yield impacting hard OE fail from the relatively harmless OE based only on the defect images. TEM analysis is often necessary to distinguish between the two. In this paper attempt is made to relate the extent of OE to e-Beam defect detection parameters, Threshold (TH) and Grey Level (GLV). Correlation between the amount of OE and each of the two parameters is established. Also a correlation is found among the two parameters themselves. With these relationships established, the e-Beam defect detection parameters alone can be used to predict OE's potential impact on yield without TEM analysis.
机译:在已经填充过通孔或沟槽之后,半导体器件处理中的一些过蚀刻(OE)相关缺陷仅是显而易见的。这种缺陷通常被埋下并经常在故障的设备故障分析后发现。通过使用光学检查工具的物理意义的内联检测是不可能的。电子束检验能够电动检测这种类型的缺陷。 OE相关的缺陷创建短路或泄漏路径,并且它们导致设备故障的能力取决于此泄漏的级别或程度。硬oe失败影响产量,而边缘OE相对无害。电子束检测检测到硬币失效和边缘OE作为亮电压对比度(BVC),并且始终是识别率的挑战,该挑战率撞击力仅基于缺陷图像的相对无害的OE失败。 TEM分析通常需要区分两者。在本文中,尝试将OE的程度与电子束缺陷检测参数,阈值(TH)和灰度级(GLV)相关联。建立了OE的量与两个参数中的每一个之间的相关性。两个参数本身中发现了一种相关性。利用这些关系建立,单独的电子束缺陷检测参数可用于预测OE对不会产生TEM分析的潜在影响。

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