Methods for detecting and classifying defects on a reticle
    142.
    发明授权
    Methods for detecting and classifying defects on a reticle 有权
    在掩模版上检测和分类缺陷的方法

    公开(公告)号:US07738093B2

    公开(公告)日:2010-06-15

    申请号:US12115833

    申请日:2008-05-06

    CPC classification number: G03F1/84

    Abstract: Methods for detecting and classifying defects on a reticle are provided. One method includes acquiring images of the reticle at first and second conditions during inspection of the reticle. The first condition is different than the second condition. The method also includes detecting the defects on the reticle using one or more of the images acquired at the first condition. In addition, the method includes classifying an importance of the defects detected on the reticle using one or more of the images acquired at the second condition. The detecting and classifying steps are performed substantially simultaneously during the inspection.

    Abstract translation: 提供了在掩模版上检测和分类缺陷的方法。 一种方法包括在检查光罩期间的第一和第二条件下获取光罩的图像。 第一个条件不同于第二个条件。 该方法还包括使用在第一条件下获取的图像中的一个或多个来检测掩模版上的缺陷。 此外,该方法包括使用在第二条件下获取的一个或多个图像来分类在掩模版上检测到的缺陷的重要性。 检测和分类步骤在检查期间基本上同时进行。

    Global shape definition method for scatterometry
    143.
    发明授权
    Global shape definition method for scatterometry 有权
    用于散点的全局形状定义方法

    公开(公告)号:US07613598B2

    公开(公告)日:2009-11-03

    申请号:US11542806

    申请日:2006-10-04

    CPC classification number: G01N21/4788

    Abstract: A method for modeling samples includes the use of control points to define lines profiles and other geometric shapes. Each control point used within a model influences a shape within the model. Typically, the control points are used in a connect-the-dots fashion where a set of dots defines the outline or profile of a shape. The layers within the sample are typically modeled independently of the shape defined using the control points. The overall result is to minimize the number of parameters used to model shapes while maintaining the accuracy of the resulting scatterometry models.

    Abstract translation: 用于建模样本的方法包括使用控制点来定义线轮廓和其他几何形状。 模型中使用的每个控制点影响模型内的形状。 通常,控制点以连接点的方式使用,其中一组点定义形状的轮廓或轮廓。 样品中的层通常被模拟,独立于使用控制点定义的形状。 总体结果是最小化用于建模形状的参数数量,同时保持得到的散射测量模型的准确性。

    Modulated scatterometry
    144.
    发明授权
    Modulated scatterometry 失效
    调制散点

    公开(公告)号:US07400402B2

    公开(公告)日:2008-07-15

    申请号:US11657368

    申请日:2007-01-24

    Inventor: Walter Lee Smith

    CPC classification number: G01N21/1717 G01N21/4788 G01N2021/1719

    Abstract: An apparatus for scatterometry measurements is disclosed. The apparatus includes a modulated pump source for exciting the sample. A separate probe beam is directed to interact with the sample and the modulated optical response is measured. The measured data is subjected to a scatterometry analysis in order to evaluate geometrical sample features that induce light scattering.

    Abstract translation: 公开了一种用于散射测量的装置。 该装置包括用于激发样品的调制泵浦源。 引导单独的探针光束与样品相互作用,并测量调制的光学响应。 对测量数据进行散射分析,以评估诱导光散射的几何样本特征。

    Edge bead removal inspection by reflectometry
    145.
    发明授权
    Edge bead removal inspection by reflectometry 有权
    通过反射计检查边缘珠粒检查

    公开(公告)号:US07142300B2

    公开(公告)日:2006-11-28

    申请号:US10829727

    申请日:2004-04-22

    CPC classification number: G01N21/9503

    Abstract: A method and apparatus for enhancing image contrast between resist-covered and bare silicon regions of a wafer, applicable to Edge Bead Removal inspection. The wafer is illuminated separately by s-polarized light and p-polarized light impinging at near the Brewster angle of silicon or resist, and an image difference between the reflected s-polarized light and the reflected p-polarized light is derived.

    Abstract translation: 一种用于增强晶片的抗蚀覆盖层和裸硅区域之间的图像对比度的方法和装置,适用于边缘去除废料检查。 通过在硅或抗蚀剂的布鲁斯特角附近入射的s偏振光和p偏振光分别照射晶片,并且导出反射的s偏振光和反射的p偏振光之间的图像差。

    Automated pattern fidelity measurement plan generation

    公开(公告)号:US10670535B2

    公开(公告)日:2020-06-02

    申请号:US16296132

    申请日:2019-03-07

    Abstract: Methods and systems for determining parameter(s) of a metrology process to be performed on a specimen are provided. One system includes one or more computer subsystems configured for automatically generating regions of interest (ROIs) to be measured during a metrology process performed for the specimen with the measurement subsystem based on a design for the specimen. The computer subsystem(s) are also configured for automatically determining parameter(s) of measurement(s) performed in first and second subsets of the ROIs during the metrology process with the measurement subsystem based on portions of the design for the specimen located in the first and second subsets of the ROIs, respectively. The parameter(s) of the measurement(s) performed in the first subset are determined separately and independently of the parameter(s) of the measurement(s) performed in the second subset.

    Generating simulated images from input images for semiconductor applications

    公开(公告)号:US10395356B2

    公开(公告)日:2019-08-27

    申请号:US15603249

    申请日:2017-05-23

    Abstract: Methods and systems for generating a simulated image from an input image are provided. One system includes one or more computer subsystems and one or more components executed by the one or more computer subsystems. The one or more components include a neural network that includes two or more encoder layers configured for determining features of an image for a specimen. The neural network also includes two or more decoder layers configured for generating one or more simulated images from the determined features. The neural network does not include a fully connected layer thereby eliminating constraints on size of the image input to the two or more encoder layers.

    Accelerating semiconductor-related computations using learning based models

    公开(公告)号:US10360477B2

    公开(公告)日:2019-07-23

    申请号:US15402169

    申请日:2017-01-09

    Abstract: Methods and systems for performing one or more functions for a specimen using output simulated for the specimen are provided. One system includes one or more computer subsystems configured for acquiring output generated for a specimen by one or more detectors included in a tool configured to perform a process on the specimen. The system also includes one or more components executed by the one or more computer subsystems. The one or more components include a learning based model configured for performing one or more first functions using the acquired output as input to thereby generate simulated output for the specimen. The one or more computer subsystems are also configured for performing one or more second functions for the specimen using the simulated output.

    Systems and methods incorporating a neural network and a forward physical model for semiconductor applications

    公开(公告)号:US10346740B2

    公开(公告)日:2019-07-09

    申请号:US15609009

    申请日:2017-05-31

    Abstract: Methods and systems for training a neural network are provided. One system includes one or more components executed by one or more computer subsystems. The one or more components include a neural network configured for determining inverted features of input images in a training set for a specimen input to the neural network, a forward physical model configured for reconstructing the input images from the inverted features thereby generating a set of output images corresponding to the input images in the training set, and a residue layer configured for determining differences between the input images in the training set and their corresponding output images in the set. The one or more computer subsystems are configured for altering one or more parameters of the neural network based on the determined differences thereby training the neural network.

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