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Accurate OPC model generation through use of a streamlined data flow incorporating automated test-structure layout and CD-SEM recipe generation

机译:通过使用简化的数据流并结合自动测试结构布局和CD-SEM配方生成,可以精确生成OPC模型

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摘要

In this paper we present a method that optimizes the OPC model generation process. The elements in this optimized flow include: an automated test structure layout engine; automated SEM recipe creation and data collection; and OPC model anchoring/validation software. The flow is streamlined by standardizing and automating these steps and their inputs and outputs. A major benefit of this methodology is the ability to perform multiple OPC "screening" refinement loops in a short time before embarking on final model generation. Each step of the flow is discussed in detail, as well as our multi-pass experimental design for converging on a final OPC data set. Implementation of this streamlined process flow drastically reduces the time to complete OPC modeling, and allows generation of multiple complex OPC models in a short time, resulting in faster release and transfer of a next-generation product to manufacturing.
机译:在本文中,我们提出了一种优化OPC模型生成过程的方法。该优化流程中的元素包括:自动测试结构布局引擎;自动化SEM配方创建和数据收集;和OPC模型锚定/验证软件。通过标准化和自动化这些步骤及其输入和输出,可以简化流程。这种方法的主要优点是能够在开始最终模型生成之前在短时间内执行多个OPC“筛选”细化循环。详细讨论了流程的每个步骤,以及用于收敛到最终OPC数据集的多遍实验设计。简化流程的实施极大地减少了完成OPC建模的时间,并允许在短时间内生成多个复杂的OPC模型,从而加快了下一代产品的发布和转移到制造中。

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