Instant tuning method for accelerating resist and etch model calibration

    公开(公告)号:US11314172B2

    公开(公告)日:2022-04-26

    申请号:US16977137

    申请日:2019-03-07

    Abstract: A method for accelerating calibration of a fabrication process model, the method including performing one or more iterations of: defining one or more fabrication process model terms; receiving predetermined information related to the one or more fabrication process model terms; generating a fabrication process model based on the predetermined information, the fabrication process model configured to generate one or more predictions related to a metrology gauge; determining whether a prediction related to a dimension of a gauge is within a predetermined threshold of the gauge as measured on a post-fabrication process substrate; and responsive to the prediction not breaching the predetermined threshold, optimizing the one or more fabrication process terms such that the prediction related to the dimension of the gauge is within the predetermined threshold of the gauge as measured on the post-fabrication process substrate.

    Method for determining stochastic variation of printed patterns

    公开(公告)号:US11567413B2

    公开(公告)日:2023-01-31

    申请号:US17430517

    申请日:2020-01-30

    Abstract: A method for determining measurement data of a printed pattern on a substrate. The method involves obtaining (i) images of the substrate including a printed pattern corresponding to a reference pattern, (ii) an averaged image of the images, and (iii) a composite contour based on the averaged image. Further, the composite contour is aligned with respect to a reference contour of the reference pattern and contours are extracted from the images based on both the aligned composite contour and the output of die-to-database alignment of the composite contour. Further, the method determines a plurality of pattern measurements based on the contours and the measurement data corresponding to the printed patterns based on the plurality of the pattern measurements. Further, the method determines a one or more process variations such as stochastic variation, inter-die variation, intra-die variation and/or total variation.

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