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Advanced in-production hotspot prediction and monitoring with micro-topography

机译:先进的生产热点预测和微地形监测

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At 28nm technology and below, hot spot prediction and process window control on production wafers have become increasingly critical to prevent sensitive pattern geometries from becoming yield limiting defects as a result of process variation. We previously established a systematic approach to identify focus-sensitive hotspots, characterize their process window margins, use a focus variation map to predict patterning defect locations, and verify predictions by guided e-beam inspection [1]. The current paper establishes the impact of intra-die micro-topography and its correlation with best focus variations of hotspots in a production chip layout. For this purpose, we obtain high-resolution topography measurements from an offline tool, and determine pattern-dependent best focus shifts from litho simulations to compare against the measured best focus distribution. We exercise the entire prediction and guided verification flow for after-etch application on a production use case with full-stack topography wafers.
机译:在28nm的技术和下面,在生产晶片上的热点预测和过程窗口控制对于防止敏感图案几何形状变得越来越关键,因为过程变化导致敏感图案几何缺陷。我们之前建立了一个系统的方法来识别重点敏感热点,表征其过程窗口边距,使用焦点变化图来预测图案化缺陷位置,并通过引导电子波束检查验证预测[1]。目前的论文建立了模具内微型的影响及其与生产芯片布局中热点最佳焦点变化的相关性。为此目的,我们从离线工具获得高分辨率的地形测量,并确定从Litho模拟的模式相关的最佳焦点,以比较测量的最佳聚焦分布。我们在使用全堆叠地形晶片上锻炼在生产用例上的蚀刻后应用程序的整个预测和引导验证流程。

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