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    • 2. 发明授权
    • Modeling mask errors using aerial image sensitivity
    • 使用空中图像敏感度建模掩模误差
    • US08812145B2
    • 2014-08-19
    • US13740753
    • 2013-01-14
    • Synopsys, Inc.
    • Yongfa FanJenSheng Huang
    • G06F19/00G06F17/50
    • G06F17/50B82Y10/00B82Y40/00G03F1/36G03F1/68G03F1/70G03F7/70441G03F7/705G03F7/70516G03F7/70625
    • One embodiment of the present invention provides techniques and systems for modeling mask errors based on aerial image sensitivity. During operation, the system can receive an uncalibrated process model which includes a mask error modeling term which is based at least on an aerial image sensitivity to mask modifications which represent mask errors. Next, the system can fit the uncalibrated process model using measured CD data. Note that the mask error modeling term can also be dependent on the local and/or long-range pattern density. In some embodiments, the mask error modeling term can include an edge bias term and a corner rounding term. The edge bias term can be based on the sensitivity of the aerial image intensity to an edge bias, and the corner rounding term can be based on the sensitivity of the aerial image intensity to a corner rounding adjustment.
    • 本发明的一个实施例提供了基于空中图像敏感度对掩模误差建模的技术和系统。 在操作期间,系统可以接收未校准的过程模型,其包括掩模误差建模术,该掩模误差建模术至少基于对掩蔽修改的空间图像敏感度,其表示掩模误差。 接下来,系统可以使用测量的CD数据来适应未校准的过程模型。 请注意,掩模误差建模项也可以取决于局部和/或长距离图案密度。 在一些实施例中,掩模误差建模项可以包括边缘偏置项和角舍入项。 边缘偏置项可以基于空间图像强度对边缘偏置的灵敏度,并且角舍入项可以基于空间图像强度对圆角调整的灵敏度。
    • 3. 发明申请
    • MODELING MASK ERRORS USING AERIAL IMAGE SENSITIVITY
    • 使用空白图像敏感度建模面具错误
    • US20130131857A1
    • 2013-05-23
    • US13740753
    • 2013-01-14
    • Synopsys, Inc.
    • Yongfa FanJenSheng Huang
    • G06F17/50
    • G06F17/50B82Y10/00B82Y40/00G03F1/36G03F1/68G03F1/70G03F7/70441G03F7/705G03F7/70516G03F7/70625
    • One embodiment of the present invention provides techniques and systems for modeling mask errors based on aerial image sensitivity. During operation, the system can receive an uncalibrated process model which includes a mask error modeling term which is based at least on an aerial image sensitivity to mask modifications which represent mask errors. Next, the system can fit the uncalibrated process model using measured CD data. Note that the mask error modeling term can also be dependent on the local and/or long-range pattern density. In some embodiments, the mask error modeling term can include an edge bias term and a corner rounding term. The edge bias term can be based on the sensitivity of the aerial image intensity to an edge bias, and the corner rounding term can be based on the sensitivity of the aerial image intensity to a corner rounding adjustment.
    • 本发明的一个实施例提供了基于空中图像敏感度对掩模误差建模的技术和系统。 在操作期间,系统可以接收未校准的过程模型,其包括掩模误差建模术,该掩模误差建模术至少基于对掩蔽修改的空间图像敏感度,其表示掩模误差。 接下来,系统可以使用测量的CD数据来适应未校准的过程模型。 请注意,掩模误差建模项也可以取决于局部和/或长距离图案密度。 在一些实施例中,掩模误差建模项可以包括边缘偏置项和角舍入项。 边缘偏置项可以基于空间图像强度对边缘偏置的灵敏度,并且角舍入项可以基于空间图像强度对圆角调整的灵敏度。