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Modeling and analysis of non-rectangular gate for post-lithography circuit simulation
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 44th annual Design Automation Conference table of contents
San Diego, California
SESSION: Modeling tech. impact table of contents
Pages: 823 - 828  
Year of Publication: 2007
ISBN ~ ISSN:0738-100X , 978-1-59593-627-1
Authors
Ritu Singhal  Arizona State University, Tempe, AZ
Asha Balijepalli  Arizona State University, Tempe, AZ
Anupama Subramaniam  Arizona State University, Tempe, AZ
Frank Liu  IBM Austin Research Laboratory, Austin, TX
Sani Nassif  IBM Austin Research Laboratory, Austin, TX
Yu Cao  Arizona State University, Tempe, AZ
Sponsors
: The EDA Consortium
: IEEE/CASS/CANDE/CEDA
SIGDA: ACM Special Interest Group on Design Automation
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 6,   Downloads (12 Months): 44,   Citation Count: 6
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ABSTRACT

In the nano regime it has become increasingly important to consider the impact of non-rectangular gate (NRG) shape caused due to sub-wavelength lithography. NRG dramatically increases the leakage current and requires geometry dependent transistor models for post-litho circuit simulation. In this paper, we propose a coherent modeling approach for non-rectangular gates based on equivalent gate length (Le). A gate-voltage dependent model of Le is developed which is scalable with design conditions, continuous across weak and strong inversion regions, accurate for both leakage and saturation current, and compatible with standard circuit analysis tools. We systematically verify this approach with 65nm TCAD simulations. A generic CAD algorithm is further proposed to predict the value of Le under various non-rectangular geometries. The interaction with the narrow-width effect is efficiently convolved in this method. Depending on the gate geometry, the leakage current can vary more than 15X at 65nm technology node. Our analytical method well captures this effect. Finally, we extrapolate the impact of NRG effect on future technology generations. The proposed model can be easily extracted from TCAD tools or direct silicon data. It bridges the gap between lithography, simulation, and circuit analysis for measuring transistor performance under increasingly severe NRG effect.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
International Technology Roadmap for Semiconductors 2005, http://public.itrs.net
 
2
J. A. Croon, G. Stroms et. al., "Line edge roughness: characterization, modeling and impact on device behavior," IEDM, 2002.
 
3
4
 
5
P. Gupta, A. Kahng, Y. Kim, S. Shah, D. Sylvester, "Modeling of non-uniform device geometries for post-lithography circuit analysis," SPIE, vol. 6156, 2006.
 
6
W. J. Poppe, L. Capodieci, J. Wu, and A. Neureuther, "From poly line to transistor: building BSIM models for non-rectangular transistors," SPIE, vol. 6156, 2006.
7
8
 
9
F.-L. Heng, J.-F. Lee, and P. Gupta, "Toward through-process layout quality metrics," SPIE, vol. 5756, 2005.
 
10
Davinci User's Guide, Version W-2004.09, Sep. 2004.
 
11
W. Zhao, Y. Cao, "New generation of predictive technology model for sub-45nm early design exploration," Electron Devices, IEEE Transactions, vol. 53, pp. 2816--2823, Nov 2006. (http://www.eas.asu.edu/~ptm).
 
12
K. Seong-Dong, H. Wada, and J. C. S. Woo, "TCAD-based statistical analysis and modeling of gate line-edge roughness effect on nanoscale MOS transistor performance and scaling," Semiconductor Manufacturing, IEEE Transactions, vol. 17, pp. 192--200, 2004.
 
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CITED BY  6

Collaborative Colleagues:
Ritu Singhal: colleagues
Asha Balijepalli: colleagues
Anupama Subramaniam: colleagues
Frank Liu: colleagues
Sani Nassif: colleagues
Yu Cao: colleagues