Invention Grant
- Patent Title: Machine learning based inverse optical proximity correction and process model calibration
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Application No.: US15734141Application Date: 2019-05-23
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Publication No.: US11544440B2Publication Date: 2023-01-03
- Inventor: Marinus Aart Van Den Brink , Yu Cao , Yi Zou
- Applicant: ASML NETHERLANDS B.V.
- Applicant Address: NL Veldhoven
- Assignee: ASML NETHERLANDS B.V.
- Current Assignee: ASML NETHERLANDS B.V.
- Current Assignee Address: NL Veldhoven
- Agency: Pillsbury Winthrop Shaw Pittman LLP
- International Application: PCT/EP2019/063282 WO 20190523
- International Announcement: WO2019/238372 WO 20191219
- Main IPC: G06F30/398
- IPC: G06F30/398 ; G06F30/392 ; G06F119/18

Abstract:
A method for calibrating a process model and training an inverse process model of a patterning process. The training method includes obtaining a first patterning device pattern from simulation of an inverse lithographic process that predicts a patterning device pattern based on a wafer target layout, receiving wafer data corresponding to a wafer exposed using the first patterning device pattern, and training an inverse process model configured to predict a second patterning device pattern using the wafer data related to the exposed wafer and the first patterning device pattern.
Public/Granted literature
- US20210216697A1 MACHINE LEARNING BASED INVERSE OPTICAL PROXIMITY CORRECTION AND PROCESS MODEL CALIBRATION Public/Granted day:2021-07-15
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