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    • 10. 发明授权
    • Profile refinement for integrated circuit metrology
    • 集成电路测量的轮廓细化
    • US06609086B1
    • 2003-08-19
    • US10075904
    • 2002-02-12
    • Junwei BaoSrinivas DoddiNickhil JakatdarVi Vuong
    • Junwei BaoSrinivas DoddiNickhil JakatdarVi Vuong
    • G06F1900
    • G01B11/24G01N21/4788G03F7/70625
    • The present invention includes a method and system for determining the profile of a structure in an integrated circuit from a measured signal, the signal measured off the structure with a metrology device, selecting a best match of the measured signal in a profile data space, the profile data space having data points with a specified extent of non-linearity, and performing a refinement procedure to determine refined profile parameters. One embodiment includes a refinement procedure comprising finding a polyhedron in a function domain of cost functions of the profile library signals and profile parameters and minimizing the total cost function using the weighted average method. Other embodiments include profile parameter refinement procedures using sensitivity analysis, a clustering approach, regression-based methods, localized fine-resolution refinement library method, iterative library refinement method, and other cost optimization or refinement algorithms, procedures, and methods. Refinement of profile parameters may be invoked automatically or invoked based on predetermined criteria such as exceeding an error metric between the measured signal versus the best match profile library.
    • 本发明包括一种用于从测量信号确定集成电路中的结构的轮廓的方法和系统,使用测量装置测量结构的信号,在轮廓数据空间中选择测量信号的最佳匹配, 具有指定非线性范围的数据点的简档数据空间,以及执行细化过程以确定精确的简档参数。 一个实施例包括细化程序,包括在简档库信号和简档参数的成本函数的功能域中找到多面体,并且使用加权平均方法最小化总成本函数。 其他实施例包括使用灵敏度分析的简档参数细化程序,聚类方法,基于回归的方法,局部精细分辨率细化库方法,迭代库细化方法以及其他成本优化或细化算法,程序和方法。 简档参数的细化可以基于预定标准自动调用或调用,例如超过测量信号与最佳匹配简档库之间的误差度量。