METHOD OF EVALUATING SELECTED SET OF PATTERNS

    公开(公告)号:WO2023030807A1

    公开(公告)日:2023-03-09

    申请号:PCT/EP2022/071659

    申请日:2022-08-02

    Abstract: Described herein is systems and methods for evaluating selected set of patterns of a design layout. A method herein includes obtaining (i) a first pattern set resulting from a pattern selection process, (ii) first pattern data associated with the first pattern set, (iii) characteristic data associated with the first pattern data, and (iv) second pattern data associated with a second pattern set. A machine learning model is trained based on the characteristic data, where the machine learning model being configured to predict pattern data for an input pattern. The second pattern set is input to the trained machine learning model to predict second pattern data of the second pattern set. The first pattern set is evaluated by comparing the second pattern data and the predicted second pattern data. If the evaluation indicates insufficient pattern coverage, additional patterns can be included to improve the pattern coverage.

    FEATURE EXTRACTION METHOD FOR EXTRACTING FEATURE VECTORS FOR IDENTIFYING PATTERN OBJECTS

    公开(公告)号:WO2022135819A1

    公开(公告)日:2022-06-30

    申请号:PCT/EP2021/082886

    申请日:2021-11-24

    Abstract: An improved apparatus and method of feature extraction for identifying a pattern are disclosed. An improved method of feature extraction for identifying a pattern comprises obtaining data representative of a pattern instance, dividing the pattern instance into a plurality of zones, determining a representative characteristic of a zone of the plurality of zones, generating a representation of the pattern instance using a feature vector, wherein the feature vector comprises an element corresponding to the representative characteristic, wherein the representative characteristic is indicative of a spatial distribution of one or more features of the zone. The method also comprises at least one of classifying or selecting pattern instances based on the feature vector.

    SYSTEMS, PRODUCTS, AND METHODS FOR IMAGE-BASED PATTERN SELECTION

    公开(公告)号:WO2022037921A1

    公开(公告)日:2022-02-24

    申请号:PCT/EP2021/071359

    申请日:2021-07-29

    Abstract: Described herein is a method for selecting patterns for training a model to predict patterns to be printed on a substrate. The method includes (a) obtaining images of multiple patterns, wherein the multiple patterns correspond to target patterns to be printed on a substrate; (b) grouping the images into a group of special patterns and multiple groups of main patterns; and (c) outputting a set of patterns based on the images as training data for training the model, wherein the set of patterns includes the group of special patterns and a representative main pattern from each group of main patterns.

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