CONFIGURATION OF AN IMPUTER MODEL
    21.
    发明公开

    公开(公告)号:EP3913435A1

    公开(公告)日:2021-11-24

    申请号:EP20175361.3

    申请日:2020-05-19

    Abstract: Apparatus and methods of configuring an imputer model for imputing a second parameter. The method comprises inputting a first data set comprising values of a first parameter to the imputer model, and evaluating the imputer model to obtain a second data set comprising imputed values of the second parameter. The method further comprises obtaining a third data set comprising 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.

    MAINTAINING A SET OF PROCESS FINGERPRINTS
    22.
    发明公开

    公开(公告)号:EP3392711A1

    公开(公告)日:2018-10-24

    申请号:EP17167117.5

    申请日:2017-04-19

    CPC classification number: G03F7/70616 G03F7/70491

    Abstract: A method of maintaining a set of fingerprints (316) representing variation of one or more process parameters across wafers, has the steps: (a) receiving measurement data (324) of one or more parameters measured on wafers; (b) updating (320) the set of fingerprints based on an expected evolution (322) of the one or more process parameters; and (c) 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 (316), and the decomposition may involve: estimating, based the received measurement data (324), 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.

    A METHOD OF MONITORING A LITHOGRAPHIC PROCESS AND ASSOCIATED APPARATUSES

    公开(公告)号:EP4191337A1

    公开(公告)日:2023-06-07

    申请号:EP21211785.7

    申请日:2021-12-01

    Abstract: Disclosed is a method of determining a placement metric relating to placement of one or more features on a substrate in a lithographic process. The method comprises obtaining setup data comprising placement error contributor data relating to a plurality of placement error contributor parameters and yield data representative of yield and defining a statistical model for predicting a yield metric, the statistical model being based on a placement metric, the placement metric being a function of said placement error contributor parameters, and associated model coefficients. The model coefficients are fitted based on said setup data; and the placement metric determined from said fitted model coefficients.

    METHOD AND APPARATUS FOR DETERMINING FEATURE CONTRIBUTION TO PERFORMANCE

    公开(公告)号:EP3767392A1

    公开(公告)日:2021-01-20

    申请号:EP19186833.0

    申请日:2019-07-17

    Abstract: A method of determining the contribution of a process feature to the performance of a process of patterning substrates. The method may comprise obtaining (402) a first model trained on first process data and first performance data. One or more substrates may be identified (404) 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 (406) on second process data and second performance data associated with the identified one or more substrates. The second model may be used (408) 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.

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