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公开(公告)号:US20210048751A1
公开(公告)日:2021-02-18
申请号:US16977137
申请日:2019-03-07
Applicant: ASML NETHERLANDS B.V.
Inventor: Hongfei SHI , Jinze WANG , Pengcheng YANG , Lei WANG , Mu FENG
IPC: G03F7/20
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.
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公开(公告)号:US20230298158A1
公开(公告)日:2023-09-21
申请号:US18017646
申请日:2021-07-20
Applicant: ASML NETHERLANDS B.V.
Inventor: Jiao HUANG , Jinze WANG , Hongfei SHI , Mu FENG , Qian ZHAO , Alvin Jianjiang WANG , Yan-Jun XIAO , Liang LIU
CPC classification number: G06T7/001 , G06T7/13 , G06T2207/30168 , G06T2207/30148 , G06T2207/20216 , G06T2207/10061
Abstract: A method for selecting good quality images from raw images of a patterned substrate. The method includes obtaining a plurality of raw images (e.g., SEM images) of a patterned substrate; determining a raw image quality metric (e.g., an image score, an average slope, distance between contours) based on data associated with one or more gauges or one or more contours of one or more features within each image of the plurality of raw images, the raw image quality metric being indicative of a raw image quality; and selecting, based on the raw image quality metric, a sub-set of raw images from the plurality of raw images. The sub-set of raw images can be provided for performing more accurate measurements of the one or more features within an image.
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