DocumentCode :
1724776
Title :
Application of CGS stress metrology to advanced process control & monitoring
Author :
Owen, David M. ; Hebb, Jeff ; Otten, Christian
Author_Institution :
Ultratech, Inc., San Jose, CA, USA
fYear :
2011
Firstpage :
1
Lastpage :
6
Abstract :
The improvement of device performance associated with the intentional manipulation of stresses on the transistor scale is an integral part of device fabrication at advanced technology nodes. However, comparatively little attention is given to stress management at within-die and within-wafer length scales. Process variations that occur on these longer length scales can induce significant within-wafer stress variations. In turn, the die-to-die, wafer-to-wafer and lot-to-lot stress variations may have significant impact on device performance and yield. This paper describes the use of the CGS (Coherent Gradient Sensing) stress metrology to characterize the detailed within-wafer and wafer-to-wafer stress variations. The CGS stress maps consist of more than 700,000 data points, enabling new potential applications for stress metrology. Case studies are presented that summarize the use of the CGS data to reveal correlations between stress variations and device performance, lithographic overlay and tool matching.
Keywords :
lithography; process control; process monitoring; semiconductor device manufacture; CGS stress metrology; coherent gradient sensing; device fabrication; device performance; die-to-die stress variations; full-wafer stress mapping; intentional manipulation; lithographic overlay; lot-to-lot stress variations; process control; process monitoring; semiconductor manufacturing; tool matching; transistor scale; wafer-to-wafer stress variations; Annealing; Correlation; MOS devices; Performance evaluation; Stress; Stress measurement; Substrates; device yield; process control; stress metrology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Semiconductor Manufacturing Conference (ASMC), 2011 22nd Annual IEEE/SEMI
Conference_Location :
Saratoga Springs, NY
ISSN :
1078-8743
Print_ISBN :
978-1-61284-408-4
Electronic_ISBN :
1078-8743
Type :
conf
DOI :
10.1109/ASMC.2011.5898171
Filename :
5898171
Link To Document :
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