DocumentCode
1092269
Title
Supervisory run-to-run control of polysilicon gate etch using in situ ellipsometry
Author
Butler, Stephanie Watts ; Stefani, Jerry A.
Author_Institution
Texas Instrum. Inc., Dallas, TX, USA
Volume
7
Issue
2
fYear
1994
fDate
5/1/1994 12:00:00 AM
Firstpage
193
Lastpage
201
Abstract
Polysilicon gate etch is a critical manufacturing step in the manufacturing of MOS devices because it determines the tolerance limits on MOS circuit performance. The etch used in the current study suffers from machine aging, which causes processing results to drift with time. Performing the etch for the same time with fixed process setpoints (recipe) for all wafers would produce unsatisfactory results. Thus, an in situ ellipsometer was employed with a new run-to-run supervisory controller, termed predictor corrector control (PCC), to eliminate the impact of machine and process drift. A novel modeling technique was used to predict uniformity from the ellipsometry data collected at a single site on the wafer. Predictive models are employed by the PCC supervisory controller to generate optimal settings (recipe) for every wafer which will achieve a target mean etch rate, while maintaining a spatially uniform etch. A 200 wafer experiment was conducted to demonstrate the benefits of process control. Implementation of PCC resulted in a 36% decrease in standard deviation from target for the mean etch rate. In addition, the data indicates that controlling etch rate may improve the control and uniformity of the line width change
Keywords
MOS integrated circuits; elemental semiconductors; ellipsometry; etching; integrated circuit manufacture; predictive control; predictor-corrector methods; process control; semiconductor process modelling; silicon; MOS devices; Si; in situ ellipsometry; manufacturing; mean etch rate; modeling technique; optimal settings; polysilicon gate etch; predictor corrector control; process control; supervisory run-to-run control; tolerance limits; Aging; Circuit optimization; Ellipsometry; Etching; MOS devices; Manufacturing; Optimal control; Predictive models; Process control; Semiconductor device modeling;
fLanguage
English
Journal_Title
Semiconductor Manufacturing, IEEE Transactions on
Publisher
ieee
ISSN
0894-6507
Type
jour
DOI
10.1109/66.286855
Filename
286855
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