Invention Grant
- Patent Title: Multi-modal data analysis for defect identification
- Patent Title (中): 用于缺陷识别的多模态数据分析
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Application No.: US12017779Application Date: 2008-01-22
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Publication No.: US08260034B2Publication Date: 2012-09-04
- Inventor: Lisa Amini , Brian Christopher Barker , Perry G. Hartswick , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong
- Applicant: Lisa Amini , Brian Christopher Barker , Perry G. Hartswick , Deepak S. Turaga , Olivier Verscheure , Justin Wai-chow Wong
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Ryan, Mason & Lewis, LLP
- Agent William Stock
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06F17/50 ; H01L21/00

Abstract:
A technique for identifying a defect in an object produced by a controllable process. A first type of data generated as a result of production of the object by the controllable process is obtained. A second type of data generated as a result of production of the object by the controllable process is obtained. The first type of data and the second type of data are jointly analyzed. A defect is identified in the object based on the joint analysis of the first type of data and the second type of data. By way of example, the controllable process comprises a semiconductor manufacturing process such as a silicon wafer manufacturing process and the object produced by the semiconductor manufacturing process comprises a processed wafer. The first type of data comprises tool trace data and the second type of data comprises wafer image data. The tool trace data is generated by a photolithographic tool.
Public/Granted literature
- US20090185739A1 Multi-Modal Data Analysis for Defect Identification Public/Granted day:2009-07-23
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