会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Integrated circuit profile value determination
    • 集成电路剖面值确定
    • US06842261B2
    • 2005-01-11
    • US10228692
    • 2002-08-26
    • Junwei BaoWen JinEmmanuel DregeSrinivas DoddiVi Vuong
    • Junwei BaoWen JinEmmanuel DregeSrinivas DoddiVi Vuong
    • G01B11/02G01N21/47G01N21/88G06F19/00H01L21/00
    • G01N21/4788G03F7/70625
    • A profile parameter value is determined in integrated circuit metrology by: a) determining a diffraction signal difference based on a measured diffraction signal and a previously generated diffraction signal; b) determining a first profile parameter value based on the previously generated diffraction signal; c) determining a first profile parameter value change based on the diffraction signal difference; d) determining a second profile parameter value based on the first profile parameter value change; e) determining a second profile parameter value change between the first and second profile parameter values; f) determining if the second profile parameter value change meets one or more preset criteria; and g) when the second profile parameter value change fails to meet the one or more preset criteria, iterating c) to g) using as the diffraction signal difference in the iteration of step c), a diffraction signal difference determined based on the measured diffraction signal and a diffraction signal for the second profile parameter value previously determined in step d), and as the first profile parameter value in the iteration of step e), the second profile parameter value previously determined in step d).
    • 在集成电路测量中通过以下方式确定轮廓参数值:a)基于测量的衍射信号和先前产生的衍射信号来确定衍射信号差; b)基于先前产生的衍射信号确定第一轮廓参数值; c)基于所述衍射信号差确定第一轮廓参数值变化; d)基于所述第一轮廓参数值变化来确定第二轮廓参数值; e)确定所述第一和第二轮廓参数值之间的第二轮廓参数值变化; f)确定第二轮廓参数值变化是否满足一个或多个预设标准; 并且g)当第二轮廓参数值改变不能满足一个或多个预设标准时,迭代c)至g)在步骤c)的迭代中使用作为衍射信号差的衍射信号差,基于测得的衍射 信号和用于在步骤d)中预先确定的第二轮廓参数值的衍射信号,以及作为步骤e)的迭代中的第一轮廓参数值,在步骤d)中预先确定的第二轮廓参数值。
    • 10. 发明授权
    • Selecting a profile model for use in optical metrology using a machine learning system
    • 使用机器学习系统选择用于光学测量的轮廓模型
    • US07523076B2
    • 2009-04-21
    • US10791046
    • 2004-03-01
    • Emmanuel DregeSrinivas DoddiJunwei Bao
    • Emmanuel DregeSrinivas DoddiJunwei Bao
    • G06F15/18
    • G06N99/005G03F7/70625
    • A profile model can be selected for use in examining a structure formed on a semiconductor wafer using optical metrology by obtaining an initial profile model having a set of profile parameters. A machine learning system is trained using the initial profile model. A simulated diffraction signal is generated for an optimized profile model using the trained machine learning system, where the optimized profile model has a set of profile parameters with the same or fewer profile parameters than the initial profile model. A determination is made as to whether the one or more termination criteria are met. If the one or more termination criteria are met, the optimized profile model is modified and another simulated diffraction signal is generated using the same trained machine learning system.
    • 可以通过获得具有一组轮廓参数的初始轮廓模型来选择轮廓模型用于检查在半导体晶片上形成的结构。 使用初始轮廓模型训练机器学习系统。 使用训练的机器学习系统为优化的轮廓模型生成模拟衍射信号,其中优化的轮廓模型具有与初始轮廓模型相同或更少的轮廓参数的一组轮廓参数。 确定是否满足一个或多个终止标准。 如果满足一个或多个终止标准,则优化的轮廓模型被修改,并且使用相同训练的机器学习系统产生另一个模拟衍射信号。