SEMICONDUCTOR PROCESSING TOOLS WITH IMPROVED PERFORMANCE BY USE OF HYBRID LEARNING MODELS

    公开(公告)号:US20220035979A1

    公开(公告)日:2022-02-03

    申请号:US16944012

    申请日:2020-07-30

    Abstract: Embodiments disclosed herein include a semiconductor manufacturing tool with a hybrid model and methods of using the hybrid model for processing wafers and/or developing process recipes. In an embodiment, a method for developing a semiconductor manufacturing process recipe comprises selecting one or more device outcomes, and querying a hybrid model to obtain a process recipe recommendation suitable for obtaining the device outcomes. In an embodiment, the hybrid process model comprises a statistical model and a physical model. In an embodiment, the method may further comprise executing a design of experiment (DoE) on a set of wafers to validate the process recipe recommended by the hybrid process model.

    Semiconductor processing tools with improved performance by use of hybrid learning models

    公开(公告)号:US11586794B2

    公开(公告)日:2023-02-21

    申请号:US16944012

    申请日:2020-07-30

    Abstract: Embodiments disclosed herein include a semiconductor manufacturing tool with a hybrid model and methods of using the hybrid model for processing wafers and/or developing process recipes. In an embodiment, a method for developing a semiconductor manufacturing process recipe comprises selecting one or more device outcomes, and querying a hybrid model to obtain a process recipe recommendation suitable for obtaining the device outcomes. In an embodiment, the hybrid process model comprises a statistical model and a physical model. In an embodiment, the method may further comprise executing a design of experiment (DoE) on a set of wafers to validate the process recipe recommended by the hybrid process model.

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