光刻工艺中的先进工艺控制与关键尺寸控制

Hamza Saghrouchni
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引用次数: 0

摘要

为了实现先进的过程控制(APC),大量、实用、组装的尖端光刻工艺需要对工艺和工艺工具连接的全面理解。这个过程同样需要严格的控制来保持理想的入口CD。目前在大多数半导体办公室使用的直接织布机依赖于管理员的经验,并且不能很好地控制CD的种类。在业务中使用程序输入控制框架是很麻烦的,因为CD不能被估计为逐步完成。在本杂志中,利用神经复合体根据厚度、反射率、折射记录和部分的估计来预测CD。所述神经网络是利用在装配办公室收集的记录信息制备的。建立了一个基于神经图式的逆向模型。与此相反的模型被递进模型推翻,以构建前馈控制器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advanced Process Control and Critical Dimension Control in Photolithography Process
High volume, practical, assembling of cutting edge' photolithography processes requires top to bottom comprehension of Process and Process-Tool connection to accomplish Advanced Process Control (APC). The process likewise requires a tight control to keep up an ideal entryway CD. The direct loom that is right now being used in most semiconductor offices depends on administrator experience and doesn't give good control on the CD variety. Usage of a programmed input control framework in the business has been troublesome in light of the fact that the CD can't be estimated progressively finished. In this magazine, a neural complex is utilized to anticipate CD dependent on the estimations of thickness, reflectivity, refractive record, and portion. The neural network is prepared utilizing recorded information that are gathered at an assembling office. A neural scheme-based converse model of the progression is created. The opposite model is knock down with the progression model to frame a feed-forward controller.
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