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
    10.
    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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