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
    4.
    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.

    METHODS AND COMPUTER PROGRAMS FOR DATA MAPPING FOR LOW DIMENSIONAL DATA ANALYSIS

    公开(公告)号:US20240369943A1

    公开(公告)日:2024-11-07

    申请号:US18576441

    申请日:2022-06-21

    Abstract: Methods, systems, and apparatus for mapping high dimensional data related to a lithographic apparatus, etch tool, metrology tool or inspection tool to a lower dimensional representation of the data. High dimensional data is obtained related to the apparatus. The high dimensional data has first dimensions N greater than two. A nonlinear parametric model is obtained, which has been trained to map a training set of high dimensional data onto a lower dimensional representation. The lower dimensional representation has second dimensions M, wherein Mis less than N. The model has been trained using a cost function configured to make the mapping preserve local similarities in the training set of high dimensional data. Using the model, the obtained high dimensional data is mapped to the corresponding lower dimensional representation.

    CONFIGURATION OF AN IMPUTER MODEL
    7.
    发明公开

    公开(公告)号:US20230153582A1

    公开(公告)日:2023-05-18

    申请号:US17913305

    申请日:2021-03-22

    CPC classification number: G06N3/0475

    Abstract: Apparatus and methods of configuring an imputer model for imputing a second parameter. The method includes inputting a first data set including values of a first parameter to the imputer model, and evaluating the imputer model to obtain a second data set including imputed values of the second parameter. The method further includes obtaining a third data set including measured values of a third parameter, wherein the third parameter is correlated to the second parameter; obtaining a prediction model configured to infer values of the third parameter based on inputting values of the second parameter; inputting the second data set to the prediction model, and evaluating the prediction model to obtain inferred values of the third parameter; and configuring the imputer model based on a comparison of the inferred values and the measured values of the third parameter.

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