METHOD OF EVALUATING SELECTED SET OF PATTERNS

    公开(公告)号:US20240345487A1

    公开(公告)日:2024-10-17

    申请号:US18681613

    申请日:2022-08-02

    CPC classification number: G03F7/705 G03F7/70441

    Abstract: Systems and methods for evaluating selected set of patterns of a design layout. A method herein includes obtaining (i) a first pattern set resulting from a pattern selection process, (ii) first pattern data associated with the first pattern set, (iii) characteristic data associated with the first pattern data, and (iv) second pattern data associated with a second pattern set. A machine learning model is trained based on the characteristic data, where the machine learning model being configured to predict pattern data for an input pattern. The second pattern set is input to the trained machine learning model to predict second pattern data of the second pattern set. The first pattern set is evaluated by comparing the second pattern data and the predicted second pattern data. If the evaluation indicates insufficient pattern coverage, additional patterns can be included to improve the pattern coverage.

    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.

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