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A fully physical model for leakage distribution under process variations in Nanoscale double-gate CMOS
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Source Annual ACM IEEE Design Automation Conference archive
Proceedings of the 43rd annual Design Automation Conference table of contents
San Francisco, CA, USA
SESSION: Session 27: low power and ultra-low voltage design table of contents
Pages: 413 - 418  
Year of Publication: 2006
ISBN:1-59593-381-6
Authors
Hari Ananthan  Purdue University, West Lafayette, IN
Kaushik Roy  Purdue University, West Lafayette, IN
Sponsors
SIGDA: ACM Special Interest Group on Design Automation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 43,   Citation Count: 1
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ABSTRACT

Double-gate CMOS is projected to replace classical bulk and SOI technologies around the 32nm node. Predicting the impact of process variations on yield for these novel devices is necessary at an early stage of the design cycle, to enable optimal technology and circuit design choices. This paper presents a fully physical model for double-gate leakage distribution due to gate length (L) and body thickness (tsi) variations, both for single devices and stacks. The model is derived directly from the solution of Poisson's and Schrödinger's equations, and thus captures the effect of unique double-gate phenomena such as volume inversion and quantum confinement. It is scalable to L=13nm and tsi=3nm, with less than 2% error for 3 σ variation as large as 20% of nominal process parameters.


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.

 
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Collaborative Colleagues:
Hari Ananthan: colleagues
Kaushik Roy: colleagues