VIRTUAL METROLOGY FOR WAFER RESULT PREDICTION

    公开(公告)号:US20220092242A1

    公开(公告)日:2022-03-24

    申请号:US17025651

    申请日:2020-09-18

    Abstract: Aspects of the disclosure provide a method for wafer result prediction. The method includes determining predictor parameters of a semiconductor process using domain knowledge that includes knowledge of the semiconductor process, a processing tool associated with the semiconductor process, a metrology tool, and/or the wafer. The method also includes removing collinearity among the predictor parameters to obtain key predictor parameters, and selecting a subset of the key predictor parameters based on metrology data of the wafer obtained from the metrology tool. The method further includes building a virtual metrology (VM) model on the subset of the key predictor parameters and may include predicting wafer results using the VM model.

    VIRTUAL METROLOGY ENHANCED PLASMA PROCESS OPTIMIZATION METHOD

    公开(公告)号:US20220406580A1

    公开(公告)日:2022-12-22

    申请号:US17350439

    申请日:2021-06-17

    Abstract: A method of optimizing a recipe for a plasma process includes (a) building a virtual metrology (VM) model that predicts a wafer characteristic resulting from the plasma process based on a plasma parameter and (b) building a control model that describes a relationship between the plasma parameter and a recipe parameter. (c) The wafer characteristic is measured after performing the plasma process according to the recipe. (d) Whether the wafer characteristic is within a predetermined range is determined. (e) The VM model and the control model are calibrated based on the wafer characteristic. (f) The recipe is optimized by updating the plasma parameter based on the wafer characteristic using the VM model and updating the recipe parameter based on the plasma parameter using the control model. (c), (d), (e) and (f) are repeated until the wafer characteristic is within the predetermined range.

    TOOL HEALTH MONITORING AND CLASSIFICATIONS WITH VIRTUAL METROLOGY AND INCOMING WAFER MONITORING ENHANCEMENTS

    公开(公告)号:US20230009419A1

    公开(公告)日:2023-01-12

    申请号:US17373078

    申请日:2021-07-12

    Abstract: A method of evaluating tool health of a plasma tool is provided. The method includes providing a virtual metrology (VM) model that predicts a wafer characteristic based on parameters measured by module sensors and in-situ sensors of the plasma tool. A classification model is provided that identifies a plurality of failure modes of the plasma tool. An initial test is performed on an incoming wafer to determine whether the incoming wafer meets a preset requirement. The wafer characteristic is predicted using the VM model when the incoming wafer meets the preset requirement. A current failure mode is identified using the classification model when the wafer characteristic predicted by using the VM model is outside a pre-determined range.

    DATA FUSION OF MULTIPLE SENSORS
    7.
    发明公开

    公开(公告)号:US20230317483A1

    公开(公告)日:2023-10-05

    申请号:US17710085

    申请日:2022-03-31

    Abstract: Provided is a method for monitoring a plasma-related process in a plasma tool. The method includes measuring data associated with the plasma-related process using a plurality of sensors while executing the plasma-related process on a wafer. Respective data measured by each sensor of the plurality of sensors are input into a respective individual estimation method to output a respective individual wafer state of the wafer, which results in a plurality of individual wafer states. The respective individual estimation method is configured to estimate the respective individual wafer state using at least the respective data. The plurality of individual wafer states is input into an integrated estimation method to output an integrated wafer state of the wafer. The integrated estimation method is configured to estimate the integrated wafer state using at least the plurality of individual wafer states.

    VIRTUAL METROLOGY MODEL BASED SEASONING OPTIMIZATION

    公开(公告)号:US20230315047A1

    公开(公告)日:2023-10-05

    申请号:US17710362

    申请日:2022-03-31

    CPC classification number: G05B19/4099 G05B2219/45031

    Abstract: A method for detecting an endpoint of a seasoning process for a plasma tool includes (a) operating the plasma tool to run a seasoning recipe on at least one seasoning wafer before running a monitoring recipe on at least one monitoring wafer; (b) collecting, while running the monitoring recipe on the monitoring wafer, monitoring data associated with the running the monitoring recipe; and (c) generating an estimated product parameter using a virtual metrology (VM) model that is configured to estimate a product parameter using the monitoring data. The VM model is based on production data associated with running a production recipe on production wafers and product parameters of the production wafers measured after the running the production recipe. The endpoint of the seasoning process is obtained by repeating (a), (b) and (c), and the endpoint is obtained when the estimated product parameter stabilizes.

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