Optimization based on machine learning

    公开(公告)号:US11029605B2

    公开(公告)日:2021-06-08

    申请号:US16527098

    申请日:2019-07-31

    Inventor: Xiaofeng Liu

    Abstract: A method for improving a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic apparatus, the method including: obtaining a first source of the lithographic apparatus; classifying the first source into a class among a plurality of possible classes, based on one or more numerical characteristics of the first source, using a machine learning model, by a computer; determining whether the class is among one or more predetermined classes; only when the class is among the one or more predetermined classes, adjusting one or more source design variables to obtain a second source.

    Pattern placement error aware optimization

    公开(公告)号:US10386727B2

    公开(公告)日:2019-08-20

    申请号:US15126234

    申请日:2015-03-03

    Abstract: A method to improve a lithographic process for imaging a portion of a design layout onto a substrate using a lithographic projection apparatus, the method including: computing a multi-variable cost function of a plurality of design variables that are characteristics of the lithographic process, and reconfiguring the characteristics of the lithographic process by adjusting the design variables until a predefined termination condition is satisfied. The multi-variable cost function may be a function of one or more pattern shift errors. Reconfiguration of the characteristics may be under one or more constraints on the one or more pattern shift errors.

Patent Agency Ranking