勒让德多项式
计算机科学
径向基函数
多项式的
泽尼克多项式
算法
数学优化
功能(生物学)
航程(航空)
维数(图论)
薄脆饼
人工智能
数学
人工神经网络
工程类
生物
进化生物学
电气工程
光学
物理
数学分析
航空航天工程
波前
纯数学
作者
Philip Groeger,U. Denker,Robin M. Zech,Stefan Buhl,Matthias Ruhm,Mingyu Kim,Hong-Seok Jang,Chunsoo Kang,DongYoung Lee,Hyunjun Kim,Sukwon Park,Bohye Kim,Honggoo Lee,Sangho Lee,Chanha Park,DongSub Choi,Jeonghoon Lee
摘要
Critical dimension uniformity (CDU) control using dose correction is well established and has relied on traditional polynomial models like Zernike and Legendre for a long time. As process margins are shrinking and CD (and CDU) control becomes a significant contributor to edge placement error (EPE), the dose correction models need to be enhanced to represent the systematic behavior of the fingerprints more precisely. In this paper we show that many CD signatures over the exposure field or over the wafer cannot be corrected efficiently using classical polynomials. As the CD signatures can come from a variety of processes like etch, CVD, polish, or deposition, a flexible model approach is required. Furthermore, making the right decision when choosing the correct model order of the classical polynomial based model is complicated as we need to handle the balance between the degrees of freedom and minimizing the residuals. With this problem statement in mind, we introduce a novel radial basis function (RBF) modeling approach for dose corrections that can correct a wide range of signatures. The new modeling approach is verified on real CD signatures on product, reducing CDU significantly. Additionally, we demonstrate that this approach can make the life of the engineers easy again, as there are no prior decisions about model type and order needed.
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