PATTERN GROUPING METHOD BASED ON MACHINE LEARNING

    公开(公告)号:WO2020011648A1

    公开(公告)日:2020-01-16

    申请号:PCT/EP2019/068015

    申请日:2019-07-04

    Abstract: A pattern grouping method may include receiving an image of a first pattern, generating a first fixed-dimensional feature vector using trained model parameters applying to the received image, and assigning the first fixed-dimensional feature vector a first bucket ID. The method may further include creating a new bucket ID for the first fixed-dimensional feature vector in response to determining that the first pattern does not belong to one of a plurality of buckets corresponding to defect patterns, or mapping the first fixed-dimensional feature vector to the first bucket ID in response to determining that the first pattern belongs to one of a plurality of buckets corresponding to defect patterns.

    APPARATUS AND METHOD FOR DETECTING TIME-DEPENDENT DEFECTS IN A FAST-CHARGING DEVICE

    公开(公告)号:WO2020058142A1

    公开(公告)日:2020-03-26

    申请号:PCT/EP2019/074585

    申请日:2019-09-13

    Abstract: An improved charged particle beam inspection apparatus, and more particularly, a particle beam apparatus for inspecting a wafer including an improved scanning mechanism for detecting fast- charging defects is disclosed. An improved charged particle beam inspection apparatus may include a charged particle beam source that delivers charged particles to an area of the wafer and scans the area. The improved charged particle beam apparatus may further include a controller including a circuitry to produce multiple images of the area over a time sequence, which are compared to detect fast- charging defects.

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