OPTIMIZATION OF A METROLOGY ALGORITHM FOR EXAMINATION OF SEMICONDUCTOR SPECIMENS

    公开(公告)号:US20240428395A1

    公开(公告)日:2024-12-26

    申请号:US18214231

    申请日:2023-06-26

    Abstract: There is provided a metrology system and method. The method includes obtaining a set of tool parameters selected from multiple tool parameters characterizing the examination tool, varying a value of each tool parameter from the set a number of times, giving rise to a plurality of tool settings corresponding to a plurality of combinations of varying values of the set of tool parameters, configuring an examination tool with each given tool setting of the plurality of tool settings; and in response to receiving, from the examination tool, a plurality of sets of images corresponding to the plurality of tool settings and representing expected tool variations over time in a single tool or between different tools, optimizing a metrology algorithm using the plurality of sets of images so as to meet at least one metrology metric including tool matching.

    DETECTION OF DEFECTS USING A COMPUTATIONALLY EFFICIENT SEGMENTATION APPROACH

    公开(公告)号:US20230206417A1

    公开(公告)日:2023-06-29

    申请号:US17565273

    申请日:2021-12-29

    CPC classification number: G06T7/0004 G06T7/10

    Abstract: There is provided a system of examination of a semiconductor specimen, comprising a processor and memory circuitry configured to obtain, for each given candidate defect of a plurality of candidate defects in an image of the specimen, a given area of the given candidate defect in the image, obtain a reference image, perform a segmentation of at least part of the reference image, to determine, for each given candidate defect, first reference areas in the reference image matching a given reference area corresponding to the given area, select among the first reference areas, a plurality of second reference areas, obtain a plurality of corresponding second areas in the image, and use data informative of a pixel intensity of the second areas and data informative of a pixel intensity of the given area to determine whether the given candidate defect corresponds to a defect.

    MACHINE LEARNING BASED METROLOGY FOR SEMICONDUCTOR SPECIMENS

    公开(公告)号:US20250004386A1

    公开(公告)日:2025-01-02

    申请号:US18215083

    申请日:2023-06-27

    Abstract: There is provided a system and method for examining a semiconductor specimen. The method includes obtaining a runtime image of a semiconductor specimen acquired by an examination tool; processing the runtime image to create one or more image strips each containing an edge, and for each image strip, extracting a sequence of topo points representative of a contour of the edge therein; providing the sequence of topo points for each image strip to a trained machine learning (ML) model to be processed, and obtaining, as an output of the ML model, a sequence of updated topo points; and obtaining measurement data on the runtime image using the sequence of updated topo points, wherein the measurement data has improved performance with respect to at least one metrology metric.

    STABILIZATION OF A MANUFACTURING PROCESS OF A SPECIMEN BY SHAPE ANALYSIS OF STRUCTURAL ELEMENTS OF THE SPECIMEN

    公开(公告)号:US20230230223A1

    公开(公告)日:2023-07-20

    申请号:US17580541

    申请日:2022-01-20

    CPC classification number: G06T7/0006 G06T2207/30148

    Abstract: There is provided a system and a method comprising obtaining data Dcontour informative of a contour of an element of a semiconductor specimen acquired by an examination tool, using the data Dcontour to generate a signal informative of a curvature of the contour of the element, determining at least one of data Dperiodicity informative of a periodicity of the signal, or data Ddiscontinuities informative of a number of discontinuities in the signal, wherein each discontinuity is informative of a transition between a convex portion of the contour and a concave portion of the contour, and using at least one of the data Dperiodicity or the data Ddiscontinuities to determine data informative of correct manufacturing of the element.

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