SEMICONDUCTOR FILM THICKNESS PREDICTION USING MACHINE-LEARNING

    公开(公告)号:US20240185058A1

    公开(公告)日:2024-06-06

    申请号:US18075216

    申请日:2022-12-05

    CPC classification number: G06N3/08

    Abstract: A machine-learning model may be used to estimate a film thickness from a spectral image captured from a semiconductor substrate during processing. Instead of using actual measurements from physical substrates to train the model, simulated images may be generated for a wide variety of predefined thickness profiles. Simulated training data may be rapidly generated by receiving a film thickness profile representing a film on a semiconductor substrate design. A light source may be simulated being reflected off of the film on the semiconductor substrate and being captured by a camera. The spectral data captured by the camera may be converted into one or more images for a wafer with the film thickness profile. The images may then be labeled with thicknesses from the film thickness profile for training a machine-learning model.

    Thickness measurement of substrate using color metrology

    公开(公告)号:US11017524B2

    公开(公告)日:2021-05-25

    申请号:US16435291

    申请日:2019-06-07

    Abstract: A metrology system for obtaining a measurement representative of a thickness of a layer on a substrate includes a camera positioned to capture a color image of at least a portion of the substrate. A controller is configured to receive the color image from the camera, store a predetermined path in a coordinate space of at least two dimension including a first color channel and a second color channel, store a function that provides a value representative of a thickness as a function of a position on the predetermined path, determine a coordinate of a pixel in the coordinate space from color data in the color image for the pixel, determine a position of a point on the predetermined path that is closest to the coordinate of the pixel, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

    Thickness Measurement of Substrate Using Color Metrology

    公开(公告)号:US20200258214A1

    公开(公告)日:2020-08-13

    申请号:US16414709

    申请日:2019-05-16

    Abstract: A layer thickness measurement system includes a support to hold a substrate, an optical sensor to capture a color image of at least a portion of the substrate, and a controller. The controller is configured to receive the color image from the optical sensor, store a function that provides a value representative of a thickness as a function of position along a predetermined path in a coordinate space of at least two dimensions including a first color channel and a second color channel, for a pixel of the color image determine a coordinate of the pixel in the coordinate space from color data in the color image, determine a position of a point on the predetermined path that is closest to the coordinate, and calculate a value representative of a thickness from the function and the position of the point on the predetermined path.

Patent Agency Ranking