METHODS AND MECHANISMS FOR MEASURING PATTERNED SUBSTRATE PROPERTIES DURING SUBSTRATE MANUFACTURING

    公开(公告)号:US20230306300A1

    公开(公告)日:2023-09-28

    申请号:US17704298

    申请日:2022-03-25

    CPC classification number: G06N20/00

    Abstract: An electronic device manufacturing system configured to obtain sensor data associated with a deposition process performed in a process chamber to deposit a film stack on a surface of a substrate. The film stack can include a known film pattern and an unknown film pattern. The manufacturing system is further configured to input the sensor data into a first trained machine-learning model to obtain a first output value of the first trained machine-learning model. The first output value can be associated with the known film pattern. The manufacturing system is further configured to input the first output value into a second trained machine-learning model to obtain a second output value of the second trained machine-learning model. The second output value can be indicative of metrology data of the known film pattern.

    METHODS AND MECHANISMS FOR PREVENTING FLUCTUATION IN MACHINE-LEARNING MODEL PERFORMANCE

    公开(公告)号:US20230384777A1

    公开(公告)日:2023-11-30

    申请号:US17824282

    申请日:2022-05-25

    CPC classification number: G05B19/41885 G05B19/4183 G05B19/41875

    Abstract: An electronic device manufacturing system configured to receive, by a processor, input data reflecting a feature related to a manufacturing process of a substrate. The manufacturing system is further configured to generate a characteristic sequence defining a relationship between at least two manufacturing parameters, and determine a relationship between one or more variables related to the feature and the characteristic sequence. The manufacturing system is further configured to determine a weight based on the determined relationship and apply the weight to the feature. The manufacturing system is further configured to train a machine-learning model in view of the weighted feature.

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