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公开(公告)号:US20230408423A1
公开(公告)日:2023-12-21
申请号:US17845953
申请日:2022-06-21
Applicant: Applied Materials Israel Ltd.
Inventor: Paz YABBO , Boaz DUDOVICH , Bhavna GHAI , Amir BAR
CPC classification number: G01N21/9501 , G06N3/08 , G06T7/0004 , G06T2207/30148 , G06T2207/20081
Abstract: There is provided a system and method of optimizing an inspection recipe for inspecting a semiconductor specimen. The method includes obtaining test data from a test performed after inspection, the test data indicative of functional defectivity of the specimen with respect to at least one structural feature at a suspected layer; retrieving inspection data of the suspected layer including a set of inspection images and a set of defect maps of the plurality of processing steps of the suspected layer; correlating the test data and the set of defect maps of the suspected layer to identify one or more structural features of the suspected layer with unmatched defectivity; for each of the identified structural features, including at least part of the inspection images corresponding to the structural feature in a training set; and using the training set to train a machine learning (ML) model in the inspection recipe.