DocumentCode
1365124
Title
A Physically Based Accurate Model for Quantum Mechanical Correction to the Surface Potential of Nanoscale MOSFETs
Author
Karim, M.A. ; Haque, Anisul
Author_Institution
Dept. of Electr. & Electron. Eng., United Int. Univ., Dhaka, Bangladesh
Volume
57
Issue
2
fYear
2010
Firstpage
496
Lastpage
502
Abstract
We present a physically based explicit analytical model for the quantum mechanical (QM) correction to the surface potential of nanoscale metal-oxide-semiconductor (MOS) devices. The effect of wave function penetration into the gate dielectric is taken into account. Instead of using the band-gap widening approach, which indirectly includes QM correction, the proposed correction term is directly added to the semiclassical surface potential. Under accumulation bias, charges in extended states and quantized states contribute to the surface potential in different ways. The proposed QM correction considers this difference in contributions. Comparison with two existing analytical QM correction models and two self-consistent QM numerical models show that the proposed correction is more accurate than the existing analytical models. The improvement achieved under the accumulation bias is particularly significant. The gate C-V characteristics of a number of different MOS devices have been simulated using the proposed correction. Excellent agreement with published experimental data has been observed.
Keywords
MOSFET; wave functions; band-gap widening approach; gate C-V characteristics; gate dielectric; nanoscale MOSFET; nanoscale metal-oxide-semiconductor devices; quantum mechanical correction; self-consistent QM numerical models; wave function penetration; Analytical models; Capacitance-voltage characteristics; Dielectrics; MOS devices; MOSFETs; Nanoscale devices; Numerical models; Photonic band gap; Quantum mechanics; Wave functions; Gate $C$ – $V$ characteristics; quantum mechanical (QM) effects; surface potential; wave function penetration;
fLanguage
English
Journal_Title
Electron Devices, IEEE Transactions on
Publisher
ieee
ISSN
0018-9383
Type
jour
DOI
10.1109/TED.2009.2037453
Filename
5361417
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