Invention Grant
- Patent Title: Accelerating semiconductor-related computations using learning based models
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Application No.: US15402169Application Date: 2017-01-09
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Publication No.: US10360477B2Publication Date: 2019-07-23
- Inventor: Kris Bhaskar , Scott Young , Mark Roulo , Jing Zhang , Laurent Karsenti , Mohan Mahadevan , Bjorn Brauer
- Applicant: KLA-Tencor Corporation
- Applicant Address: US CA Milpitas
- Assignee: KLA-Tencor Corp.
- Current Assignee: KLA-Tencor Corp.
- Current Assignee Address: US CA Milpitas
- Agent Ann Marie Mewherter
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06K9/62 ; G06K9/66 ; G06T7/00

Abstract:
Methods and systems for performing one or more functions for a specimen using output simulated for the specimen are provided. One system includes one or more computer subsystems configured for acquiring output generated for a specimen by one or more detectors included in a tool configured to perform a process on the specimen. The system also includes one or more components executed by the one or more computer subsystems. The one or more components include a learning based model configured for performing one or more first functions using the acquired output as input to thereby generate simulated output for the specimen. The one or more computer subsystems are also configured for performing one or more second functions for the specimen using the simulated output.
Public/Granted literature
- US20170200260A1 ACCELERATING SEMICONDUCTOR-RELATED COMPUTATIONS USING LEARNING BASED MODELS Public/Granted day:2017-07-13
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