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    • 2. 发明授权
    • Optical metrology model optimization based on goals
    • 基于目标的光学计量模型优化
    • US07588949B2
    • 2009-09-15
    • US11699837
    • 2007-01-29
    • Vi VuongEmmanuel DregeShifang LiJunwei Bao
    • Vi VuongEmmanuel DregeShifang LiJunwei Bao
    • H01L21/00G06F19/00
    • G03F7/70625G03F7/705
    • The optimization of an optical metrology model for use in measuring a wafer structure is evaluated. An optical metrology model having metrology model variables, which includes profile model parameters of a profile model, is developed. One or more goals for metrology model optimization are selected. One or more profile model parameters to be used in evaluating the one or more selected goals are selected. One or more metrology model variables to be set to fixed values are selected. One or more selected metrology model variables are set to fixed values. One or more termination criteria for the one or more selected goals are set. The optical metrology model is optimized using the fixed values for the one or more selected metrology model variables. Measurements for the one or more selected profile model parameters are obtained using the optimized optical metrology model. A determination is then made as to whether the one or more termination criteria are met by the obtained measurements.
    • 评估用于测量晶片结构的光学测量模型的优化。 开发了具有度量模型变量的光学测量模型,其包括轮廓模型的轮廓模型参数。 选择计量模型优化的一个或多个目标。 选择要用于评估一个或多个所选目标的一个或多个简档模型参数。 选择要设置为固定值的一个或多个计量模型变量。 一个或多个选定的计量模型变量被设置为固定值。 设置一个或多个所选目标的一个或多个终止标准。 光学测量模型使用一个或多个所选计量模型变量的固定值进行优化。 使用优化的光学测量模型获得一个或多个所选轮廓模型参数的测量。 然后确定所获得的测量是否满足一个或多个终止标准。
    • 6. 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。
    • 9. 发明申请
    • Optical metrology model optimization based on goals
    • 基于目标的光学计量模型优化
    • US20070135959A1
    • 2007-06-14
    • US11699837
    • 2007-01-29
    • Vi VuongEmmanuel DregeShifang LiJunwei Bao
    • Vi VuongEmmanuel DregeShifang LiJunwei Bao
    • G06F19/00
    • G03F7/70625G03F7/705
    • The optimization of an optical metrology model for use in measuring a wafer structure is evaluated. An optical metrology model having metrology model variables, which includes profile model parameters of a profile model, is developed. One or more goals for metrology model optimization are selected. One or more profile model parameters to be used in evaluating the one or more selected goals are selected. One or more metrology model variables to be set to fixed values are selected. One or more selected metrology model variables are set to fixed values. One or more termination criteria for the one or more selected goals are set. The optical metrology model is optimized using the fixed values for the one or more selected metrology model variables. Measurements for the one or more selected profile model parameters are obtained using the optimized optical metrology model. A determination is then made as to whether the one or more termination criteria are met by the obtained measurements.
    • 评估用于测量晶片结构的光学测量模型的优化。 开发了具有度量模型变量的光学测量模型,其包括轮廓模型的轮廓模型参数。 选择计量模型优化的一个或多个目标。 选择要用于评估一个或多个所选目标的一个或多个简档模型参数。 选择要设置为固定值的一个或多个计量模型变量。 一个或多个选定的计量模型变量被设置为固定值。 设置一个或多个所选目标的一个或多个终止标准。 光学测量模型使用一个或多个所选计量模型变量的固定值进行优化。 使用优化的光学测量模型获得一个或多个所选轮廓模型参数的测量。 然后确定所获得的测量是否满足一个或多个终止标准。