FOCUS AND OVERLAY IMPROVEMENT BY MODIFYING A PATTERNING DEVICE
    11.
    发明申请
    FOCUS AND OVERLAY IMPROVEMENT BY MODIFYING A PATTERNING DEVICE 审中-公开
    通过修改图案装置改进焦点和覆盖

    公开(公告)号:WO2017202665A1

    公开(公告)日:2017-11-30

    申请号:PCT/EP2017/061854

    申请日:2017-05-17

    Abstract: A method is proposed involving obtaining data regarding an expected focus offset during a patterning process due to topography of a region of a substrate surface. A modification of a transmission or reflection of a region of a patterning device associated with the region of the substrate surface is determined based on the data. Using the patterning device modified according the determined modification during the patterning process mitigates an impact of the substrate topography on a parameter of the patterning process.

    Abstract translation: 提出了一种方法,其涉及获得关于由于衬底表面的区域的形貌而在图案化过程期间的期望的聚焦偏移的数据。 基于该数据确定与衬底表面的区域相关联的图案形成装置的区域的透射或反射的修改。 在图案化过程期间使用根据所确定的修改而修改的图案形成装置减轻了衬底形貌对图案化过程的参数的影响。

    METHODS FOR DEFECT VALIDATION
    12.
    发明申请
    METHODS FOR DEFECT VALIDATION 审中-公开
    缺陷验证方法

    公开(公告)号:WO2016202546A1

    公开(公告)日:2016-12-22

    申请号:PCT/EP2016/061847

    申请日:2016-05-25

    CPC classification number: G03F7/7065 G06T3/0068 G06T7/001 G06T2207/30148

    Abstract: A computer-implemented method of defect validation for a device manufacturing process, the method comprising: obtaining a first image of a pattern processed into an area on a substrate using the device manufacturing process under a first condition; obtaining a metrology image from the area; aligning the metrology image and the first image; and determining from the first image and the metrology image whether the area contains a defect, based on one or more classification criteria.

    Abstract translation: 一种用于设备制造过程的计算机实现的缺陷验证方法,所述方法包括:使用所述设备制造过程在第一条件下获得处理到衬底上的区域中的图案的第一图像; 从该地区获取计量图像; 对准测量图像和第一图像; 以及基于一个或多个分类标准,从所述第一图像和所述测量图像确定所述区域是否包含缺陷。

    FOCUS-DOSE CO-OPTIMIZATION BASED ON OVERLAPPING PROCESS WINDOW
    13.
    发明申请
    FOCUS-DOSE CO-OPTIMIZATION BASED ON OVERLAPPING PROCESS WINDOW 审中-公开
    基于重叠过程窗口的聚焦剂量优化

    公开(公告)号:WO2016142169A1

    公开(公告)日:2016-09-15

    申请号:PCT/EP2016/053742

    申请日:2016-02-23

    CPC classification number: G03F7/70625 G03F7/70125 G03F7/70641

    Abstract: Disclosed herein is a computer-implemented method to improve a lithographic process of processing a portion of a design layout onto a substrate using a lithographic apparatus, the method including: adjusting a first processing parameter among processing parameters of the lithographic process to cause the processing to be more tolerant to perturbations of at least one of the processing parameters during processing; and adjusting a second processing parameter among processing parameters of the lithographic process to cause the processing to be more tolerant to perturbations of at least one of the processing parameters during processing.

    Abstract translation: 本文公开了一种计算机实现的方法,用于使用光刻设备改进将设计布局的一部分处理到衬底上的光刻工艺,该方法包括:调整光刻工艺的处理参数之间的第一处理参数,以使处理 在处理过程中更加容忍对至少一个处理参数的扰动; 以及调整所述光刻处理的处理参数之间的第二处理参数,以使所述处理在处理期间更加容忍至少一个所述处理参数的扰动。

    PROCESS VARIABILITY AWARE ADAPTIVE INSPECTION AND METROLOGY
    14.
    发明申请
    PROCESS VARIABILITY AWARE ADAPTIVE INSPECTION AND METROLOGY 审中-公开
    过程变异性自适应检测和计量学

    公开(公告)号:WO2016128189A1

    公开(公告)日:2016-08-18

    申请号:PCT/EP2016/051073

    申请日:2016-01-20

    Abstract: Disclosed herein is a computer-implemented defect prediction method for a device manufacturing process involving processing one or more patterns onto a substrate, the method including: determining values of one or more processing parameters under which the one or more patterns are processed; and determining or predicting, using the values of the one or more processing parameters, existence, probability of existence, a characteristic, and/or a combination selected from the foregoing, of a defect resulting from production of the one or more patterns with the device manufacturing process.

    Abstract translation: 本文公开了一种用于将衬底上的一个或多个图案处理的器件制造工艺的计算机实现的缺陷预测方法,该方法包括:确定处理一个或多个图案的一个或多个处理参数的值; 以及使用所述一个或多个处理参数的值,存在,存在概率,特征,和/或从上述选择的组合来确定或预测由所述设备生成所述一个或多个图案所导致的缺陷 制造工艺。

    SEMICONDUCTOR DEVICE GEOMETRY METHOD AND SYSTEM

    公开(公告)号:WO2021037484A1

    公开(公告)日:2021-03-04

    申请号:PCT/EP2020/071741

    申请日:2020-07-31

    Abstract: Systems and methods for predicting substrate geometry associated with a patterning process are described. Input information including geometry information and/or process information for a pattern are received; and, using a machine learning prediction model, multi-dimensional output substrate geometry is predicted. The multi-dimensional output information comprises pattern probability images. A stochastic edge placement error band and/or a stochastic failure rate may be predicted based on the pattern probability images. The input information comprises simulated aerial images, simulated resist images, target substrate dimensions, and/or data from a scanner associated with semiconductor device manufacturing. Different aerial images may correspond to different heights in resist layers associated with the patterning process, for example.

    IDENTIFICATION OF HOT SPOTS OR DEFECTS BY MACHINE LEARNING
    19.
    发明申请
    IDENTIFICATION OF HOT SPOTS OR DEFECTS BY MACHINE LEARNING 审中-公开
    机器学习识别热点或缺陷

    公开(公告)号:WO2017194281A1

    公开(公告)日:2017-11-16

    申请号:PCT/EP2017/059328

    申请日:2017-04-20

    Abstract: Disclosed herein are various methods of identifying a hot spot from a design layout or of predicting whether a pattern in a design layout is defective, using a machine learning model. An example method disclosed herein includes obtaining sets of characteristics of performance of hot spots, respectively, under a plurality of process conditions, respectively, in a device manufacturing process; determining, for each of the process conditions, for each of the hot spots, based on the characteristics under that process condition, whether that hot spot is defective; obtaining characteristics of each of the process conditions; obtaining characteristics of each of the hot spots; and training a machine learning model using a training set comprising the characteristics of one of the process conditions, the characteristics of one of the hot spots, and whether that hot spot is defective under that process condition.

    Abstract translation: 这里公开了使用机器学习模型从设计布局识别热点或预测设计布局中的模式是否有缺陷的各种方法。 本文公开的示例方法包括分别在设备制造过程中的多个过程条件下分别获得热点性能的特征组; 基于在该处理条件下的特性,针对每个处理条件确定每个热点的热点是否有缺陷; 获得每个工艺条件的特性; 获得每个热点的特征; 并且使用训练集训练机器学习模型,所述训练集包括过程条件之一的特征,其中一个热点的特征以及在该过程条件下该热点是否有缺陷。

    METHOD OF OPTIMIZING A PROCESS WINDOW
    20.
    发明申请
    METHOD OF OPTIMIZING A PROCESS WINDOW 审中-公开
    优化过程窗口的方法

    公开(公告)号:WO2015120996A1

    公开(公告)日:2015-08-20

    申请号:PCT/EP2015/050168

    申请日:2015-01-07

    CPC classification number: G06F17/5009 G03F7/705 G03F7/70525 H01L22/20

    Abstract: Disclosed herein is a computer-implemented defect prediction method for a device manufacturing process involving processing a pattern onto a substrate, the method comprising: identifying a processing window limiting pattern (PWLP) from the pattern; determining a processing parameter under which the PWLP is processed; and determining or predicting, using the processing parameter, existence, probability of existence, a characteristic, or a combination thereof, of a defect produced from the PWLP with the device manufacturing process.

    Abstract translation: 本发明公开了一种用于在衬底上处理图案的器件制造工艺的计算机实现的缺陷预测方法,所述方法包括:从所述图案中识别处理窗口限制模式(PWLP); 确定处理所述PWLP的处理参数; 以及使用处理参数来确定或预测由PWLP产生的缺陷与设备制造过程的存在,存在概率,特性或其组合。

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