DETERMINING SUBSTRATE PROFILE PROPERTIES USING MACHINE LEARNING

    公开(公告)号:US20220026817A1

    公开(公告)日:2022-01-27

    申请号:US17379707

    申请日:2021-07-19

    Abstract: A method for training a machine learning model to predict metrology measurements of a current substrate being processed at a manufacturing system is provided. Training data for the machine learning model is generated. A first training input including historical spectral data and/or historical non-spectral data associated with a surface of a prior substrate previously processed at the manufacturing system is generated. A first target output for the first training input is generated. The first target output includes historical metrology measurements associated with the prior substrate previously processed at the manufacturing system. Data is provided to train the machine learning model on (i) a set of training inputs including the first training input, and (ii) a set of target outputs including a first target output.

    Chamber component condition estimation using substrate measurements

    公开(公告)号:US12216455B2

    公开(公告)日:2025-02-04

    申请号:US17584318

    申请日:2022-01-25

    Abstract: A substrate processing system includes a process chamber, one or more robot, a substrate measurement system, and a computing device. The process chamber may process a substrate that will comprise a film and/or feature after the processing. The one or more robot, to move the substrate from the process chamber to a substrate measurement system. The substrate measurement system may measure the film and/or feature on the substrate and generate a profile map of the film and/or feature. The computing device may process data from the profile map using a first trained machine learning model, wherein the first trained machine learning model outputs a first chamber component condition estimation for a first chamber component of the process chamber. The computing device may then determine whether to perform maintenance on the first chamber component of the process chamber based at least in part on the first chamber component condition estimation.

    SUBSTRATE MEASUREMENT SUBSYSTEM
    29.
    发明申请

    公开(公告)号:US20220028716A1

    公开(公告)日:2022-01-27

    申请号:US17379677

    申请日:2021-07-19

    Abstract: A method for a substrate measurement subsystem is provided. An indication is received that a substrate being processed at a manufacturing system has been loaded into a substrate measurement subsystem. First positional data of the substrate within the substrate measurement subsystem is determined. One or more portions of the substrate to be measured by one or more sensing components of the substrate measurement subsystem are determined based on the first positional data of the substrate and a process recipe for the substrate. Measurements of each of the determined portions of the substrate are obtained by one or more sensing components of the substrate measurement subsystem. The obtained measurements of each of the determined portions of the substrate are transmitted to a system controller.

    Low temperature thermal flow ratio controller

    公开(公告)号:US11150120B2

    公开(公告)日:2021-10-19

    申请号:US16578371

    申请日:2019-09-22

    Abstract: Methods and apparatus for a flow ratio controller are provided herein. In some embodiments, a flow ratio controller includes an inlet; a plurality of channels extending from the inlet to a corresponding plurality of outlets; a bypass pipe extending from each channel of the plurality of channels that diverts a small portion of a flow from that channel and then returns the small portion of the flow back to that channel; and a thermal mass flow meter coupled to the bypass pipe having a first temperature sensor, a second temperature sensor, and a heating element disposed therebetween. A controller is configured to determine a flow rate through each of the plurality of channels based on a measured temperature difference between the first temperature sensor and the second temperature sensor.

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