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Method and apparatus for identifying a problem edge in a mask layout using an edge-detecting process-sensitivity model

机译:使用边缘检测过程敏感性模型在掩模版图中识别问题边缘的方法和装置

摘要

One embodiment of the present invention provides a system that identifies a problem edge in a mask layout which is likely to have manufacturing problems. During operation, the system creates an on-target process model that models a semiconductor manufacturing process under nominal process conditions. The system also creates one or more off-target process models that model the semiconductor manufacturing process under one or more process conditions that are different from nominal process conditions. Next, the system computes a process-sensitivity model using the on-target process model and the off-target process models. The system then computes an edge-detecting process-sensitivity model by convolving the process-sensitivity model with an edge-detecting function which can be used to detect edges in an image. Next, the system identifies a problem edge in the mask layout using the edge-detecting process-sensitivity model.
机译:本发明的一个实施例提供了一种系统,该系统识别掩模布局中的可能存在制造问题的问题边缘。在操作过程中,系统会创建一个目标工艺模型,该模型在名义工艺条件下对半导体制造工艺进行建模。该系统还创建一个或多个脱靶过程模型,该模型在与标称过程条件不同的一个或多个过程条件下对半导体制造过程建模。接下来,系统使用目标上的过程模型和目标外的过程模型来计算过程敏感度模型。然后,系统通过将过程敏感度模型与可用于检测图像边缘的边缘检测函数卷积来计算边缘检测过程敏感度模型。接下来,系统使用边缘检测过程敏感度模型在掩模布局中识别问题边缘。

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