METROLOGY METHOD AND APPARATUS, SUBSTRATE, LITHOGRAPHIC METHOD AND ASSOCIATED COMPUTER PRODUCT

    公开(公告)号:US20180238737A1

    公开(公告)日:2018-08-23

    申请号:US15962826

    申请日:2018-04-25

    Abstract: A method of measuring n values of a parameter of interest (e.g., overlay) relating to a structure forming process, where n>1. The method includes performing n measurements on each of n+1 targets, each measurement performed with measurement radiation having a different wavelength and/or polarization combination and determining the n values for a parameter of interest from the n measurements of n+1 targets, each of the n values relating to the parameter of interest for a different pair of the layers. Each target includes n+1 layers, each layer including a periodic structure, the targets including at least n biased targets having at least one biased periodic structure formed with a positional bias relative to the other layers, the biased periodic structure being in at least a different one of the layers per biased target. Also disclosed is a substrate having such a target and a patterning device for forming such a target.

    DETERMINING PATTERN RANKING BASED ON MEASUREMENT FEEDBACK FROM PRINTED SUBSTRATE

    公开(公告)号:US20230236512A1

    公开(公告)日:2023-07-27

    申请号:US18118695

    申请日:2023-03-07

    CPC classification number: G03F7/705 G03F7/70675

    Abstract: Methods for training a process model and determining ranking of simulated patterns (e.g., corresponding to hot spots). A method involves obtaining a training data set including: (i) a simulated pattern associated with a mask pattern to be printed on a substrate, (ii) inspection data of a printed pattern imaged on the substrate using the mask pattern, and (iii) measured values of a parameter of the patterning process applied during imaging of the mask pattern on the substrate; and training a machine learning model for the patterning process based on the training data set to predict a difference in a characteristic of the simulated pattern and the printed pattern. The trained machine learning model can be used for determining a ranking of hot spots. In another method a model is trained based on measurement data to predict ranking of the hot spots.

    METHOD FOR DETERMINING AN ETCH PROFILE OF A LAYER OF A WAFER FOR A SIMULATION SYSTEM

    公开(公告)号:US20230144584A1

    公开(公告)日:2023-05-11

    申请号:US18091716

    申请日:2022-12-30

    CPC classification number: G06F30/398 G03F1/36

    Abstract: A method for determining an etch profile is described. The method includes determining a masking layer profile. Loading information can be determined. The loading information indicates dependence of an etch rate for the masking layer profile on a quantity and pattern of material being etched. Flux information can be determined. The flux information indicates dependence of the etch rate on an intensity and a spread angle of radiation incident on the masking layer profile. Re-deposition information can be determined. The re-deposition information indicates dependence of the etch rate on an amount of material removed from the masking layer profile that is re-deposited back on the masking layer profile. An output etch profile for the layer of the wafer is determined based on the loading information, the flux information, and/or the re-deposition information.

    DETERMINING HOT SPOT RANKING BASED ON WAFER MEASUREMENT

    公开(公告)号:US20220035256A1

    公开(公告)日:2022-02-03

    申请号:US17276533

    申请日:2019-09-20

    Abstract: A method of hot spot ranking for a patterning process. The method includes obtaining (i) a set of hot spots of a patterning process, (ii) measured values of one or more parameters of the patterning process corresponding to the set of hot spots, and (ii) simulated values of the one or more parameters of the patterning process corresponding to the set of hot spots; determining a measurement feedback based on the measured values and the simulated values of the one or more parameters of the patterning process; and determining, via simulation of a process model of the patterning process, a ranking of a hot spot within the set of hot spots based on the measurement feedback.

    METHOD FOR DETERMINING STACK CONFIGURATION OF SUBSTRATE

    公开(公告)号:US20210247701A1

    公开(公告)日:2021-08-12

    申请号:US17053255

    申请日:2019-05-21

    Abstract: A method for determining a stack configuration for a substrate subjected to a patterning process. The method includes obtaining (i) measurement data of a stack configuration with location information on a printed substrate, (ii) a substrate model configured to predict a stack characteristic based on a location of the substrate, and (iii) a stack map including a plurality of stack configurations based on the substrate model. The method iteratively determines values of model parameters of the substrate model based on a fitting between the measurement data and the plurality of stack configurations of the stack map, and predicts an optimum stack configuration at a particular location based on the substrate model using the values of the model parameters.

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