DETECTING AND CORRECTING SUBSTRATE PROCESS DRIFT USING MACHINE LEARNING

    公开(公告)号:US20220066411A1

    公开(公告)日:2022-03-03

    申请号:US17379728

    申请日:2021-07-19

    Abstract: Methods and systems for detecting and correcting substrate process drift using machine learning are provided. Data associated with processing each of a first set of substrates at a manufacturing system according to a process recipe is provided as input to a trained machine learning model. One or more outputs are obtained from the trained machine learning model. An amount of drift of a first set of metrology measurement values for the first set of substrates from a target metrology measurement value is determined from the one or more outputs. Process recipe modification identifying one or more modifications to the process recipe is also determined. For each modification, an indication of a level of confidence that a respective modification to the process recipe satisfies a drift criterion for a second set of substrates is determined. In response to an identification of the respective modification with a level of confidence that satisfies a level of confidence criterion, the process recipe is updated based on the respective modification.

    Portion of a display panel with a graphical user interface

    公开(公告)号:USD1045924S1

    公开(公告)日:2024-10-08

    申请号:US29907881

    申请日:2024-01-09

    Abstract: FIG. 1 is a front view of a first image in a sequence of a portion of a display panel with a graphical user interface; and,
    FIG. 2 is a second image thereof.
    The broken line showing of various regions of a graphical user interface in each of the views form no part of the claimed design. The broken line showing of the display screen is for illustrative purposes only and forms no part of the claimed design.
    The appearance of the transitional image sequentially transitions between the images shown in FIGS. 1-2. The process or period in which one image transitions to another image forms no part of the claimed design.

    INTEGRATED SUBSTRATE MEASUREMENT SYSTEM
    4.
    发明公开

    公开(公告)号:US20230238266A1

    公开(公告)日:2023-07-27

    申请号:US17584322

    申请日:2022-01-25

    Abstract: An apparatus includes a substrate holder, a first actuator to rotate the substrate holder, a second actuator to move the substrate holder linearly, a first sensor to generate one or more first measurements or images of the substrate, a second sensor to generate one or more second measurements of target positions on the substrate, and a processing device. The processing device estimates a position of the substrate on the substrate holder and causes the first actuator to rotate the substrate holder about a first axis. The rotation causes an offset between a field of view of the second sensor and a target position on the substrate due to the substrate not being centered on the substrate holder. The processing device causes the second actuator to move the substrate holder linearly along a second axis to correct the offset. The processing device determines a profile across a surface of the substrate based on the one or more second measurements of the target positions.

    TRANSMISSION CORRECTED PLASMA EMISSION USING IN-SITU OPTICAL REFLECTOMETRY

    公开(公告)号:US20230078567A1

    公开(公告)日:2023-03-16

    申请号:US17447745

    申请日:2021-09-15

    Abstract: Implementations disclosed describe a system including a light source, an optical sensor, and a processing device. The light source directs, during a first time, a probe light into a processing chamber through a window. The light source ceases, during a second time, directing the probe light into the processing chamber through the window. The optical sensor detects, during the first time, a first intensity of a first light. The first light includes a portion of the probe light reflected from the window and a light transmitted from an environment of the processing chamber through the window. The optical sensor detects, during the second time, a second intensity of a second light. The second light includes the light transmitted from the environment of the processing chamber through the window. The processing device determines, using the first intensity and the second intensity, a transmission coefficient of the window.

    DETERMINING SUBSTRATE PROFILE PROPERTIES USING MACHINE LEARNING

    公开(公告)号:US20230062206A1

    公开(公告)日:2023-03-02

    申请号:US18046872

    申请日:2022-10-14

    Abstract: Spectral data associated with a first prior substrate and/or a second prior substrate is obtained. A metrology measurement value associated with the first portion of the first prior substrate is determined based on one or more metrology measurement values measured for at least one of a second portion of the first prior substrate or a third portion of a second prior substrate. Training data for training a machine learning model to predict metrology measurement values of a current substrate is generated. Generating the training data includes generating a first training input including the spectral data associated with the first prior substrate and generating a first target output for the first training input, the first target output including the determined metrology measurement value associated with the first portion of the first prior substrate. The training data is provided to train the machine learning model.

    TRANSMISSION CORRECTED PLASMA EMISSION USING IN-SITU OPTICAL REFLECTOMETRY

    公开(公告)号:US20240361239A1

    公开(公告)日:2024-10-31

    申请号:US18767516

    申请日:2024-07-09

    CPC classification number: G01N21/55 G01N2021/558

    Abstract: Implementations disclosed describe a system including a light source, an optical sensor, and a processing device. The light source directs, during a first time, a probe light into a processing chamber through a window. The light source ceases, during a second time, directing the probe light into the processing chamber through the window. The optical sensor detects, during the first time, a first intensity of a first light. The first light includes a portion of the probe light reflected from the window and a light transmitted from an environment of the processing chamber through the window. The optical sensor detects, during the second time, a second intensity of a second light. The second light includes the light transmitted from the environment of the processing chamber through the window. The processing device determines, using the first intensity and the second intensity, a transmission coefficient of the window.

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