SEM IMAGE ENHANCEMENT
    11.
    发明申请

    公开(公告)号:WO2023036542A1

    公开(公告)日:2023-03-16

    申请号:PCT/EP2022/072420

    申请日:2022-08-10

    Abstract: Disclosed herein is a method of reducing a sample charging effect in a scanning electron microscope (SEM) image, the method comprising: obtaining a first SEM image of a target feature on a sample from a first electron beam scan in a first scanning direction; obtaining a second SEM image of the target feature on the sample from a second electron beam scan in a second scanning direction different from the first scanning direction; aligning the first SEM image and the second SEM image; and generating an output image based a combination of the first SEM image and the second SEM image.

    MASK DEFECT DETECTION
    13.
    发明申请

    公开(公告)号:WO2023016723A1

    公开(公告)日:2023-02-16

    申请号:PCT/EP2022/069169

    申请日:2022-07-08

    Abstract: An improved methods and systems for detecting defect(s) on a mask are disclosed. An improved method comprises inspecting an exposed wafer after the wafer was exposed, by a lithography system using a mask, with a selected process condition that is determined based on a mask defect printability under the selected process condition; and identifying, based on the inspection, a wafer defect that is caused by a defect on the mask to enable identification of the defect on the mask.

    A METHOD FOR MODELING MEASUREMENT DATA OVER A SUBSTRATE AREA AND ASSOCIATED APPARATUSES

    公开(公告)号:WO2023016705A1

    公开(公告)日:2023-02-16

    申请号:PCT/EP2022/068625

    申请日:2022-07-05

    Abstract: Disclosed is a method for modeling alignment data over a substrate area relating to a substrate being exposed in a lithographic process. The method comprises obtaining alignment data relating to said substrate and separating the alignment data into a systematic component which is relatively stable between different substrates and a non-systematic component which is not relatively stable between different substrates. The systematic component and the non-systematic component are individually modeled and a process correction for the substrate determined based on the modeled systematic component and modeled non-systematic component.

    DATA PROCESSING DEVICE AND METHOD, CHARGED PARTICLE ASSESSMENT SYSTEM AND METHOD

    公开(公告)号:WO2023001655A1

    公开(公告)日:2023-01-26

    申请号:PCT/EP2022/069579

    申请日:2022-07-13

    Abstract: A data processing device for detecting defects in sample image data generated by a charged particle assessment system, the device comprising: a first processing module configured to receive a sample image datastream from the charged particle assessment system, the sample image datastream comprising an ordered series of data points representing an image of the sample, and to apply a first defect detection test to select a subset of the sample image datastream as first selected data, wherein the first defect detection test is a localised test which is performed in parallel with receipt of the sample image datastream; and a second processing module configured to receive the first selected data and to apply a second defect detection test to select a subset of the first selected data as second selected data.

    PATTERN SELECTION FOR SOURCE MASK OPTIMIZATION AND TARGET OPTIMIZATION

    公开(公告)号:WO2023285071A1

    公开(公告)日:2023-01-19

    申请号:PCT/EP2022/066586

    申请日:2022-06-17

    Abstract: Apparatuses, systems, and methods for selecting a subset of critical patterns from a plurality of patterns of a design layout. In some embodiments, the method comprising accessing diffraction order data based on the plurality of patterns that represent features to be formed on at least a portion of a wafer, the diffraction order data including a plurality of peaks corresponding to the plurality of patterns. The method also comprises identifying a subset of representative peaks from the plurality of peaks according to one or more grouping criteria, comprising identifying a first representative peak that covers another peak colinear with the first representative peak, wherein the first representative peak is a discrete peak having a frequency that is an integer multiple of frequency of another discrete peak. The method further comprises selecting the subset of critical patterns corresponding to the subset of representative peaks.

    METHOD OF DETERMINING A CORRECTION FOR AT LEAST ONE CONTROL PARAMETER IN A SEMICONDUCTOR MANUFACTURING PROCESS

    公开(公告)号:WO2023285066A1

    公开(公告)日:2023-01-19

    申请号:PCT/EP2022/066266

    申请日:2022-06-15

    Abstract: Described is a method and associated computer program and apparatuses for determining a correction for at least one control parameter, said at least one control parameter for controlling a semiconductor manufacturing process so as to manufacture semiconductor devices on a substrate. The method comprises: obtaining metrology data relating to said semiconductor manufacturing process or at least part thereof; obtaining associated data relating to said semiconductor manufacturing process or at least part thereof, said associated data providing information for interpreting the metrology data; and determining said correction based on said metrology data and said associated data, wherein the determining is such that the determined correction depends on a degree to which a trend and/or event in said metrology data should be corrected based on said interpretation of said metrology data.

    IMAGE DISTORTION CORRECTION IN CHARGED PARTICLE INSPECTION

    公开(公告)号:WO2023280487A1

    公开(公告)日:2023-01-12

    申请号:PCT/EP2022/065032

    申请日:2022-06-02

    Abstract: An improved systems and methods for correcting distortion of an inspection image are disclosed. An improved method for correcting distortion of an inspection image comprises acquiring an inspection image, aligning a plurality of patches of the inspection image based on a reference image corresponding to the inspection image, evaluating, by a machine learning model, alignments between each patch of the plurality of patches and a corresponding patch of the reference image, determining local alignment results for the plurality of patches of the inspection image based on a reference image corresponding to the inspection image, determining an alignment model based on the local alignment results, and correcting a distortion of the inspection image based on the alignment model.

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