Inspection Apparatus and Methods, Substrates Having Metrology Targets, Lithographic System and Device Manufacturing Method

    公开(公告)号:US20200348605A1

    公开(公告)日:2020-11-05

    申请号:US16931002

    申请日:2020-07-16

    Abstract: Disclosed is an inspection apparatus for use in lithography. It comprises a support for a substrate carrying a plurality of metrology targets; an optical system for illuminating the targets under predetermined illumination conditions and for detecting predetermined portions of radiation diffracted by the targets under the illumination conditions; a processor arranged to calculate from said detected portions of diffracted radiation a measurement of asymmetry for a specific target; and a controller for causing the optical system and processor to measure asymmetry in at least two of said targets which have different known components of positional offset between structures and smaller sub-structures within a layer on the substrate and calculate from the results of said asymmetry measurements a measurement of a performance parameter of the lithographic process for structures of said smaller size. Also disclosed are substrates provided with a plurality of novel metrology targets formed by a lithographic process.

    PROCESS VARIABILITY AWARE ADAPTIVE INSPECTION AND METROLOGY

    公开(公告)号:US20200096871A1

    公开(公告)日:2020-03-26

    申请号:US16696263

    申请日:2019-11-26

    Abstract: A 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, an existence, a 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.

    IDENTIFICATION OF HOT SPOTS OR DEFECTS BY MACHINE LEARNING

    公开(公告)号:US20190147127A1

    公开(公告)日:2019-05-16

    申请号:US16300380

    申请日:2017-04-20

    Abstract: 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 one or more 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 one or more characteristics under that process condition, whether that hot spot is defective; obtaining a characteristic of each of the process conditions; obtaining a characteristic of each of the hot spots; and training a machine learning model using a training set including the characteristic of one of the process conditions, the characteristic of one of the hot spots, and whether that hot spot is defective under that process condition.

    DISPLACEMENT BASED OVERLAY OR ALIGNMENT
    25.
    发明申请

    公开(公告)号:US20190146358A1

    公开(公告)日:2019-05-16

    申请号:US16300314

    申请日:2017-04-20

    Abstract: A method including obtaining an image of a plurality of structures on a substrate, wherein each of the plurality of structures is formed onto the substrate by transferring a corresponding pattern of a design layout; obtaining, from the image, a displacement for each of the structures with respect to a reference point for that structure; and assigning each of the structures into one of a plurality of groups based on the displacement.

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