DocumentCode :
1735896
Title :
Gate oxide improvement: statistics and methodology
Author :
Baumgartner, Philip ; Hammer, M. ; Heinrich, R. ; Berger, R. ; Pöppel, G.
Author_Institution :
Infineon Technol. AG, Regensburg, Germany
fYear :
1999
fDate :
6/21/1905 12:00:00 AM
Firstpage :
140
Lastpage :
141
Abstract :
Optimizing the gate oxide quality of logic processes is a difficult and important task: due to the missing redundancy, a large variety of hard to analyze products (small burn in statistics), and increasing product requirements (large gate oxide area, high electric field). This contribution describes statistical considerations and a methodology applied to monitor and improve the gate oxide quality of logic processes. A variety of test structures, which are sensitive to the influence of different process blocks, are used to identify possible gate oxide quality hazards. This work clearly indicates the necessity to examine a variety of test structures with large GOX areas, to separate the influence of different processing steps and substrate materials. A continuous GOX-monitoring and improvement is an important tool to ensure increased oxide reliability and to fulfill the continuously increasing product requirements
Keywords :
Monte Carlo methods; integrated circuit reliability; integrated circuit testing; integrated logic circuits; process monitoring; statistics; GOX areas; gate oxide quality; gate oxide quality hazards; logic processes; methodology; monitoring; oxide reliability; processing steps; product requirements; statistics; substrate materials; test structures; Capacitors; Cascading style sheets; Design for quality; Fabrication; Large Hadron Collider; Monte Carlo methods; Silicon; Statistical distributions; Statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Integrated Reliability Workshop Final Report, 1999. IEEE International
Conference_Location :
Lake Tahoe, CA
Print_ISBN :
0-7803-5649-7
Type :
conf
DOI :
10.1109/IRWS.1999.830578
Filename :
830578
Link To Document :
بازگشت