METHOD FOR OBTAINING TRAINING DATA FOR TRAINING A MODEL OF A SEMICONDCUTOR MANUFACTURING PROCESS
Disclosed is a method for obtaining a training data set comprising synthetic metrology data, said training data set being configured for training of a model relating to a manufacturing process for manufacturing an integrated circuit. The method comprises obtaining behavioral property data describing...
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Main Authors | , |
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Format | Patent |
Language | English French German |
Published |
20.05.2020
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Subjects | |
Online Access | Get full text |
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Summary: | Disclosed is a method for obtaining a training data set comprising synthetic metrology data, said training data set being configured for training of a model relating to a manufacturing process for manufacturing an integrated circuit. The method comprises obtaining behavioral property data describing a behavior of a process parameter resultant from the manufacturing process and/or a related tool or effect. Additionally, or alternatively metrology data performed on a structure formed by said manufacturing process and/or a similar manufacturing process may be obtained. Using said behavioral property data and/or metrology data, synthetic metrology data is determined, which describes the effect of variations in said manufacturing process, and/or a related tool or effect on said process parameter. The model is trained using the training data set comprising said synthetic metrology data. |
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Bibliography: | Application Number: EP20180206285 |