Temperature calibration with band gap absorption method

    公开(公告)号:US11815401B2

    公开(公告)日:2023-11-14

    申请号:US17743714

    申请日:2022-05-13

    CPC classification number: G01J5/53 G01J5/34 G01J5/80

    Abstract: A method and apparatus for calibration non-contact temperature sensors within a process chamber are described herein. The calibration of the non-contact temperature sensors includes the utilization of a band edge detector to determine the band edge absorption wavelength of a substrate. The band edge detector is configured to measure the intensity of a range of wavelengths and determines the actual temperature of a substrate based off the band edge absorption wavelength and the material of the substrate. The calibration method is automated and does not require human intervention or disassembly of a process chamber for each calibration.

    Process kits and related methods for processing chambers to facilitate deposition process adjustability

    公开(公告)号:US12221696B2

    公开(公告)日:2025-02-11

    申请号:US17871607

    申请日:2022-07-22

    Abstract: The present disclosure relates to flow guides, process kits, and related methods for processing chambers to facilitate deposition process adjustability. In one implementation, a process kit for disposition in a processing chamber applicable for use in semiconductor manufacturing includes a plate having a first face and a second face opposing the first face. The process kit includes a liner. The liner includes an annular section, and one or more ledges extending inwardly relative to the annular section. The one or more ledges are configured to support one or more outer regions of the second face of the plate. The liner includes one or more inlet openings extending to an inner surface of the annular section on a first side of the liner, and one or more outlet openings extending to the inner surface of the annular section on a second side of the liner.

    THERMAL PROCESSING CHAMBER STATE BASED ON THERMAL SENSOR READINGS

    公开(公告)号:US20240327988A1

    公开(公告)日:2024-10-03

    申请号:US18190970

    申请日:2023-03-28

    CPC classification number: C23C16/46 G05D23/1917

    Abstract: A method of characterizing thermal processing chambers may include training a model using temperature rate-of-change data from existing thermal processing chambers. A supervised learning process may label the rate-of-change data based on deposition profiles on substrates. The trained model may be used to characterize another chamber to determine if the predicted performance will match the chambers used to train the model. An inert process using carrier gasses may be used to capture temperature data and derive rate-of-change data without requiring the actual deposition of an layer on the substrate. The rate-of-change data may be provided to the model, which may generate component-specific outputs that characterize how well the chamber is predicted to match either finger print condition of the chamber (match at different time) or match between different chambers.

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