METHOD FOR GENERATING ASSIST FEATURES USING MACHINE LEARNING MODEL

    公开(公告)号:US20240256976A1

    公开(公告)日:2024-08-01

    申请号:US18565759

    申请日:2022-06-10

    CPC classification number: G06N20/00 G03F1/36

    Abstract: Described herein is a method of determining assist features for a mask pattern. The method includes obtaining (i) a target pattern comprising a plurality of target features, wherein each of the plurality of target features comprises a plurality of target edges, and (ii) a trained sequence-to-sequence machine leaning (ML) model (e.g., long short term memory, Gated Recurrent Units, etc.) configured to determine sub-resolution assist features (SRAFs) for the target pattern. For a target edge of the plurality of target edges, geometric information (e.g., length, width, distances between features, etc.) of a subset of target features surrounding the target edge is determined. Using the geometric information as input, the ML model generates SRAFs to be placed around the target edge.

    METHOD FOR DETERMINING MASK PATTERN AND TRAINING MACHINE LEARNING MODEL

    公开(公告)号:US20240004305A1

    公开(公告)日:2024-01-04

    申请号:US18039697

    申请日:2021-12-02

    CPC classification number: G03F7/70283 G03F1/36

    Abstract: A method for determining a mask pattern and a method for training a machine learning model. The method for generating data for a mask pattern associated with a patterning process includes obtaining (i) a first mask image (e.g., CTM) associated with a design pattern, (ii) a contour (e.g., a resist contour) based on the first mask image, (iii) a reference contour (e.g., an ideal resist contour) based on the design pattern; and (iv) a contour difference between the contour and the reference contour. The contour difference and the first mask image are inputted to a model to generate mask image modification data. Based on the first mask image and the mask image modification data, a second mask image is generated for determining a mask pattern to be employed in the patterning process.

    MEASUREMENT METHOD AND APPARATUS
    3.
    发明申请

    公开(公告)号:US20210311384A1

    公开(公告)日:2021-10-07

    申请号:US17266741

    申请日:2019-08-12

    Abstract: A method of controlling an imaging process uses a qualified optical proximity correction (OPC) model, the process including obtaining an OPC model that is configured to model the behavior of OPC modifications to a pre-OPC design in a process for forming a pattern on a substrate using a post-OPC design in a patterning process, using the patterning process in a manufacturing environment, collecting process control data in substrates patterned using the patterning process in the manufacturing environment, storing the collected process control data in a database, analyzing, by a hardware computer system, the stored, collected process control data to verify that the OPC model is correcting pattern features within a selected threshold, and for pattern features falling outside the selected threshold, determining a modification to the imaging process to correct imaging errors.

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