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Patterning Defect Study for Process Integration Engineering Using Pattern Fidelity Monitoring with Review SEM Images

Authors :
Yu Zhang
Abhishek Vikram
Ming Tian
Tianpeng Guan
Jianghua Leng
Baojun Zhao
Lei Yan
Wei Hu
Guojie Chen
Hui Wang
Gary Zhang
Wenkui Liao
Source :
Journal of Microelectronic Manufacturing, Vol 2, Iss 2 (2019)
Publication Year :
2019
Publisher :
JommPublish, 2019.

Abstract

Normally the optical wafer inspection tools are used for advanced process control in high volume manufacturing of semiconductor devices. The SEM Review is done for limited sample of inspection defects to do defect based process characterization. The defect classes that are monitored normally indicate process and random defect issues. There is limited to no information of patterning related issues in real time defect monitor. Moreover, with the objective of process integration engineering of multiple processes it becomes harder to see the evolution of a defect in the line. The Die-to-Database Pattern Monitor (D2DB-PM) solution has addressed this problem. It uses the existing high resolution images from the Review and Metrology tools and compares the pattern shapes with the design reference. This way it captures patterning deviations in real time. Here we report the subtle defect problem encountered in process integration and the results from using the D2DB-PM solution. We found that this approach reduces the workload on CDSEM tools by analyzing SEM Review images instead and the automated reports improves the efficiency of all process teams.

Details

Language :
English
ISSN :
25783769
Volume :
2
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Journal of Microelectronic Manufacturing
Publication Type :
Academic Journal
Accession number :
edsdoj.62b1579c2ee242bb8c302a3d17f1f261
Document Type :
article
Full Text :
https://doi.org/10.33079/jomm.19020203