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公开(公告)号：US10733744B2
公开(公告)日：2020-08-04
申请号：US15927011
申请日：2018-03-20
Applicant: KLA-Tencor Corporation
Inventor： Thanh Huy Ha , Scott A. Young , Mohan Mahadevan
Abstract: Methods and systems for aligning images for a specimen acquired with different modalities are provided. One method includes acquiring information for a specimen that includes at least first and second images for the specimen. The first image is acquired with a first modality different than a second modality used to acquire the second image. The method also includes inputting the information into a learning based model. The learning based model is included in one or more components executed by one or more computer systems. The learning based model is configured for transforming one or more of the at least first and second images to thereby render the at least the first and second images into a common space. In addition, the method includes aligning the at least the first and second images using results of the transforming. The method may also include generating an alignment metric using a classifier.
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公开(公告)号：US10605744B2
公开(公告)日：2020-03-31
申请号：US15865130
申请日：2018-01-08
Applicant: KLA-Tencor Corporation
Inventor： Lu Chen , Jason Kirkwood , Mohan Mahadevan , James A. Smith , Lisheng Gao , Junqing (Jenny) Huang , Tao Luo , Richard Wallingford
Abstract: Systems and methods for detecting defects on a wafer are provided. One method includes generating output for a wafer by scanning the wafer with an inspection system using first and second optical states of the inspection system. The first and second optical states are defined by different values for at least one optical parameter of the inspection system. The method also includes generating first image data for the wafer using the output generated using the first optical state and second image data for the wafer using the output generated using the second optical state. In addition, the method includes combining the first image data and the second image data corresponding to substantially the same locations on the wafer thereby creating additional image data for the wafer. The method further includes detecting defects on the wafer using the additional image data.
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3.发明申请公开(公告)号：US20190005629A1
公开(公告)日：2019-01-03
申请号：US16019422
申请日：2018-06-26
Applicant: KLA-Tencor Corporation
Inventor： Saurabh Sharma , Amitoz Singh Dandiana , Mohan Mahadevan , Chao Fang , Amir Azordegan , Brian Duffy
IPC: G06T5/00
CPC classification number: G06T5/007 , G06T3/4053 , G06T2207/20084 , G06T2207/20208
Abstract: Methods and systems for generating a high resolution image for a specimen from a low resolution image of the specimen are provided. One system includes one or more computer subsystems configured for acquiring a low resolution image of a specimen. The system also includes one or more components executed by the one or more computer subsystems. The one or more components include a deep convolutional neural network that includes one or more first layers configured for generating a representation of the low resolution image. The deep convolutional neural network also includes one or more second layers configured for generating a high resolution image of the specimen from the representation of the low resolution image. The second layer(s) include a final layer configured to output the high resolution image and configured as a sub-pixel convolutional layer.
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公开(公告)号：US20180330511A1
公开(公告)日：2018-11-15
申请号：US15927011
申请日：2018-03-20
Applicant: KLA-Tencor Corporation
Inventor： Thanh Huy Ha , Scott A. Young , Mohan Mahadevan
Abstract: Methods and systems for aligning images for a specimen acquired with different modalities are provided. One method includes acquiring information for a specimen that includes at least first and second images for the specimen. The first image is acquired with a first modality different than a second modality used to acquire the second image. The method also includes inputting the information into a learning based model. The learning based model is included in one or more components executed by one or more computer systems. The learning based model is configured for transforming one or more of the at least first and second images to thereby render the at least the first and second images into a common space. In addition, the method includes aligning the at least the first and second images using results of the transforming. The method may also include generating an alignment metric using a classifier.
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5.发明申请公开(公告)号：US20150370175A1
公开(公告)日：2015-12-24
申请号：US14741866
申请日：2015-06-17
Applicant: KLA-Tencor Corporation
Inventor： Lena Nicolaides , Ben-ming Benjamin Tsai , Prashant A. Aji , Michael Gasvoda , Stanley E. Stokowski , Guoheng Zhao , Youxian Wen , Mohan Mahadevan , Paul D. Horn , Wolfgang Vollrath , Isabella T. Lewis
CPC classification number: G01N21/9503 , G01N2201/06113 , G03F7/7085 , H01L22/12
Abstract: Disclosed are methods and apparatus for inspecting and processing semiconductor wafers. The system includes an edge detection system for receiving each wafer that is to undergo a photolithography process. The edge detection system comprises an illumination channel for directing one or more illumination beams towards a side, top, and bottom edge portion that are within a border region of the wafer. The edge detection system also includes a collection module for collecting and sensing output radiation that is scattered or reflected from the edge portion of the wafer and an analyzer module for locating defects in the edge portion and determining whether each wafer is within specification based on the sensed output radiation for such wafer. The photolithography system is configured for receiving from the edge detection system each wafer that has been found to be within specification. The edge detection system is coupled in-line with the photolithography system.
Abstract translation: 公开了用于检查和处理半导体晶片的方法和装置。 该系统包括边缘检测系统，用于接收将进行光刻工艺的每个晶片。 边缘检测系统包括用于将一个或多个照明光束朝向位于晶片的边界区域内的侧面，顶部和底部边缘部分引导的照明通道。 边缘检测系统还包括用于收集和感测从晶片的边缘部分散射或反射的输出辐射的收集模块和用于定位边缘部分中的缺陷的分析器模块，并且基于所感测到的每个晶片是否在规格范围内 这种晶片的输出辐射。 光刻系统被配置为从边缘检测系统接收已发现在规格范围内的每个晶片。 边缘检测系统与光刻系统成对连接。
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Patent Agency Ranking
公开(公告)号：US20130250287A1
公开(公告)日：2013-09-26
申请号：US13900465
申请日：2013-05-22
Applicant: KLA-Tencor Corporation
Inventor： Lu Chen , Jason Kirkwood , Mohan Mahadevan , James A. Smith , Lisheng Gao , Junqing (Jenny) Huang , Tao Luo , Richard Wallingford
IPC: G01N21/95
CPC classification number: G01N21/9501 , G01N2021/887 , H01L22/12
Abstract: Systems and methods for detecting defects on a wafer are provided. One method includes generating output for a wafer by scanning the wafer with an inspection system using first and second optical states of the inspection system. The first and second optical states are defined by different values for at least one optical parameter of the inspection system. The method also includes generating first image data for the wafer using the output generated using the first optical state and second image data for the wafer using the output generated using the second optical state. In addition, the method includes combining the first image data and the second image data corresponding to substantially the same locations on the wafer thereby creating additional image data for the wafer. The method further includes detecting defects on the wafer using the additional image data.
Abstract translation: 提供了用于检测晶片上的缺陷的系统和方法。 一种方法包括通过使用检查系统的第一和第二光学状态的检查系统扫描晶片来产生晶片的输出。 第一和第二光学状态由检查系统的至少一个光学参数的不同值来定义。 该方法还包括使用使用第二光学状态产生的输出使用第一光学状态产生的输出和晶片的第二图像数据为晶片产生第一图像数据。 此外，该方法包括将第一图像数据和对应于晶片上基本相同位置的第二图像数据组合，从而产生用于晶片的附加图像数据。 该方法还包括使用附加图像数据检测晶片上的缺陷。
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7.发明授权公开(公告)号：US10769761B2
公开(公告)日：2020-09-08
申请号：US16019422
申请日：2018-06-26
Applicant: KLA-Tencor Corporation
Inventor： Saurabh Sharma , Amitoz Singh Dandiana , Mohan Mahadevan , Chao Fang , Amir Azordegan , Brian Duffy
Abstract: Methods and systems for generating a high resolution image for a specimen from a low resolution image of the specimen are provided. One system includes one or more computer subsystems configured for acquiring a low resolution image of a specimen. The system also includes one or more components executed by the one or more computer subsystems. The one or more components include a deep convolutional neural network that includes one or more first layers configured for generating a representation of the low resolution image. The deep convolutional neural network also includes one or more second layers configured for generating a high resolution image of the specimen from the representation of the low resolution image. The second layer(s) include a final layer configured to output the high resolution image and configured as a sub-pixel convolutional layer.
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公开(公告)号：US10533954B2
公开(公告)日：2020-01-14
申请号：US15692863
申请日：2017-08-31
Applicant: KLA-Tencor Corporation
Inventor： Lena Nicolaides , Mohan Mahadevan , Alex Salnik , Scott A. Young
Abstract: Disclosed are methods and apparatus for detecting defects or reviewing defects in a semiconductor sample. The system has a brightfield (BF) module for directing a BF illumination beam onto a sample and detecting an output beam reflected from the sample in response to the BF illumination beam. The system has a modulated optical reflectance (MOR) module for directing a pump and probe beam to the sample and detecting a MOR output beam from the probe spot in response to the pump beam and the probe beam. The system includes a processor for analyzing the BF output beam from a plurality of BF spots to detect defects on a surface or near the surface of the sample and analyzing the MOR output beam from a plurality of probe spots to detect defects that are below the surface of the sample.
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公开(公告)号：US20190073568A1
公开(公告)日：2019-03-07
申请号：US15697426
申请日：2017-09-06
Applicant: KLA-Tencor Corporation
Inventor： Li He , Mohan Mahadevan , Sankar Venkataraman , Huajun Ying , Hedong Yang
Abstract: Methods and systems for detecting and classifying defects on a specimen 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 detecting defects on a specimen and classifying the defects detected on the specimen. The neural network includes a first portion configured for determining features of images of the specimen generated by an imaging subsystem. The neural network also includes a second portion configured for detecting defects on the specimen based on the determined features of the images and classifying the defects detected on the specimen based on the determined features of the images.
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公开(公告)号：US09772297B2
公开(公告)日：2017-09-26
申请号：US14618586
申请日：2015-02-10
Applicant: KLA-Tencor Corporation
Inventor： Lena Nicolaides , Mohan Mahadevan , Alex Salnik , Scott A. Young
CPC classification number: G01N21/9505 , G01N21/1717 , G01N21/9501 , G01N2021/8825 , G01N2201/06113
Abstract: Disclosed are methods and apparatus for detecting defects or reviewing defects in a semiconductor sample. The system has a brightfield (BF) module for directing a BF illumination beam onto a sample and detecting an output beam reflected from the sample in response to the BF illumination beam. The system has a modulated optical reflectance (MOR) module for directing a pump and probe beam to the sample and detecting a MOR output beam from the probe spot in response to the pump beam and the probe beam. The system includes a processor for analyzing the BF output beam from a plurality of BF spots to detect defects on a surface or near the surface of the sample and analyzing the MOR output beam from a plurality of probe spots to detect defects that are below the surface of the sample.
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