METHOD AND APPARATUS FOR DETERMINING FEATURE CONTRIBUTION TO PERFORMANCE

    公开(公告)号:US20220351075A1

    公开(公告)日:2022-11-03

    申请号:US17624014

    申请日:2020-06-05

    Abstract: A method of determining a contribution of a process feature to the performance of a process of patterning substrates. The method may include obtaining a first model trained on first process data and first performance data. One or more substrates may be identified based on a quality of prediction of the first model when applied to process data associated with the one or more substrates. A second model may be trained on second process data and second performance data associated with the identified one or more substrates. The second model may be used to determine the contribution of a process feature of the second process data to the second performance data associated with the one or more substrates.

    METHOD FOR CLASSIFYING SEMICONDUCTOR WAFERS
    2.
    发明公开

    公开(公告)号:US20230316103A1

    公开(公告)日:2023-10-05

    申请号:US18013636

    申请日:2021-06-21

    CPC classification number: G06N5/022 H01L22/20

    Abstract: Methods and apparatus for classifying semiconductor wafers. The method can include: sorting a set of semiconductor wafers, using a model, into a plurality of sub-sets based on parameter data corresponding to one or more parameters of the set of semiconductor wafers, wherein the parameter data for semiconductor wafers in a sub-set include one or more common characteristics; identifying one or more semiconductor wafers within a sub-set based on a probability of the one or more semiconductor wafers being correctly allocated to the sub-set; comparing the parameter data of the one or more identified semiconductor wafers to reference parameter data; and reconfiguring the model based on the comparison. The comparison is undertaken by a human to provide constraints for the model. The apparatus can be configured to undertake the method.

    METHOD TO LABEL SUBSTRATES BASED ON PROCESS PARAMETERS

    公开(公告)号:US20210116818A1

    公开(公告)日:2021-04-22

    申请号:US17044771

    申请日:2019-03-04

    Abstract: A method of grouping data associated with substrates undergoing a process step of a manufacturing process is disclosed. The method includes obtaining first data associated with substrates before being subject to the process step and obtaining a plurality of sets of second data associated with substrates after being subject to the process step, each set of second data being associated with a different value of a characteristic of the first data. A distance metric is determined which describes a measure of distance between the sets of second data, and the second data is grouped based on a property of the distance metric.

    METHODS OF METROLOGY
    6.
    发明申请

    公开(公告)号:US20250147436A1

    公开(公告)日:2025-05-08

    申请号:US18832408

    申请日:2023-01-23

    Abstract: A method for determining a parameter of interest relating to at least one structure formed on a substrate in a manufacturing process. The method includes: obtaining layout data relating to a layout of a pattern to be applied to the at least one structure, the pattern including the at least one structure; and obtaining a trained model, having been trained on metrology data and the layout data to infer a value and/or probability metric relating to a parameter of interest from at least the layout data, the metrology data relating to a plurality of measurements of the parameter of interest at a respective plurality of measurement locations on the substrate. A value and/or probability metric is determined relating to the parameter of interest at one or more locations on the substrate different from the measurement locations from at least layout data using the trained model.

    MAINTAINING A SET OF PROCESS FINGERPRINTS

    公开(公告)号:US20210157247A1

    公开(公告)日:2021-05-27

    申请号:US16493326

    申请日:2018-04-09

    Abstract: A method of maintaining a set of fingerprints representing variation of one or more process parameters across wafers subjected to a device manufacturing method, the method including: receiving measurement data of one or more parameters measured on wafers; updating the set of fingerprints based on an expected evolution of the one or more process parameters; and evaluation of the updated set of fingerprints based on decomposition of the received measurement data in terms of the updated set of fingerprints. Each fingerprint may have a stored likelihood of occurrence, and the decomposition may involve: estimating, based the received measurement data, likelihoods of occurrence of the set of fingerprints in the received measurement data; and updating the stored likelihoods of occurrence based on the estimated likelihoods.

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