METHOD OF VERIFYING ERROR OF OPTICAL PROXIMITY CORRECTION MODEL

    公开(公告)号:US20220180503A1

    公开(公告)日:2022-06-09

    申请号:US17384366

    申请日:2021-07-23

    Abstract: A method of fabricating a semiconductor device includes generating a mask based on second layout data obtained by applying an OPC model to first layout data and performing a semiconductor process using the mask on a substrate, obtaining a plurality of pattern images by selecting a plurality of sample patterns from the substrate, selecting sample images corresponding to the sample patterns from each of the first layout data, the second layout data, and simulation data obtained by performing a simulation based on the second layout data, generating a plurality of input images corresponding to the sample patterns by blending the sample images corresponding to the sample patterns, respectively, and generating an error prediction model for the OPC model by training a machine learning model using a data set including the input images and the pattern images.

    Defect detection method of deep learning-based semiconductor device and semiconductor element manufacturing method including the defect detection method

    公开(公告)号:US12229944B2

    公开(公告)日:2025-02-18

    申请号:US17842206

    申请日:2022-06-16

    Abstract: The inventive concept provides a defect detection method of a semiconductor element, capable of promptly and accurately detecting a defect, and predicting a type of the defect with respect to various defects of the semiconductor element, and a semiconductor element manufacturing method including the defect detection method. The defect detection method is capable of promptly and accurately detecting the defect, and predicting the type of the defect with respect to various defects of the semiconductor element, by generating a first segmentation image and a second segmentation image; converting the first segmentation image and the second segmentation image into an image of a first color and a second color, respectively; generating a combination image; classifying the type of a defect; generating a defect detection model by using deep learning, and detecting a defect of the semiconductor element by using a defect detection process using the defect detection model.

    Manufacturing method of semiconductor device

    公开(公告)号:US11562934B2

    公开(公告)日:2023-01-24

    申请号:US16992271

    申请日:2020-08-13

    Abstract: A method of manufacturing a semiconductor device includes forming a lower mold having lower layers stacked on a substrate and lower channel structures passing therethrough; forming an upper mold including upper layers stacked on the lower mold and upper channel structures passing therethrough; removing the upper mold to expose an upper surface of the lower mold; separating an upper original image in which traces of the upper channel structures are displayed, and a lower original image in which the lower channel structures are displayed, from an original image capturing the upper surface of the lower mold; inputting the upper original image into a learned neural network to acquire an upper restored image in which cross sections of the upper channel structures are displayed; and comparing the upper restored image with the lower original image to verify an alignment state of the upper and lower molds.

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