A Comparison of Quantum Correction Models for Nanoscale MOS Structures under Inversion Conditions

Article Preview

Abstract:

Quantum correction model features the correction of the inversion layer charge on different classical transport models in semiconductor device simulation. This approach has successfully been of great interest in the recent years. Considering a metal-oxide-semiconductor (MOS) structure in this paper, the Hänsch, the modified local density approximation (MLDA), the density-gradient (DG), the effective potential (EP), and our models are investigated computationally and compared systematically with the result of the Schrödinger-Poisson (SP) model. In terms of the accuracy for (1) the position of the charge concentration peak, (2) the maximum of the charge concentration, (3)the total inversion charge sheet density, and (4) the average inversion charge depth, these well-established models are examined simultaneously. The DG model requires the solution of a boundary value problem, the EP model overestimates the position of the charge concentration peak and the maximum of the charge concentration, our explicit model demonstrates good accuracy among models.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volumes 480-481)

Pages:

603-610

Citation:

Online since:

March 2005

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2005 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] N. Sano, A. Hiroki, and K. Matsuzawa, IEEE Transactions on Nanotechnology Vol. 1 (2002), p.63.

Google Scholar

[2] R. Difrenza, P. Llinares, and G. Ghibaudo, Solid-State Electronics Vol. 47 (2003), p.1161.

Google Scholar

[3] D. Munteanu, J. -L. Autran, E. Decarre, and R. Dinescu, Journal of Non-Crystalline Solids Vol. 322 (2003), P. 206.

DOI: 10.1016/s0022-3093(03)00203-5

Google Scholar

[4] T. Ando, A. B. Fowler, and F. Stern, Reviews of Modern Physics Vol. 54 (1982), P. 437.

Google Scholar

[5] F. Stern and W. E. Howard, Physical Review Vol. 163 (1967), P. 816.

Google Scholar

[6] Y. Li, T. -S. Chao, and S. M. Sze, International Journal of Modelling and Simulation Vol. 23 (2003), P. 94.

Google Scholar

[7] Y. Li, J. -W. Lee, T. -W. Tang, T. -S. Chao, T. -F. Lei, and S. M. Sze, Computer Physics Communications Vol. 147 (2002), P. 214.

Google Scholar

[8] W. Hänsch, T. Vogelsang, R. Kircher, and M. Orlowski, Solid-State Electronics Vol. 32 (1989), P. 839.

DOI: 10.1016/0038-1101(89)90060-9

Google Scholar

[9] G. Paasch and H. Ubensee, Physica Status Solidi (b) Vol. 113 (1982), P. 165.

Google Scholar

[10] M.G. Ancona and H.F. Tiersten, Physical Review B Vol. 35 (1987), P. 7959.

Google Scholar

[11] Y. Li, WSEAS Transactions on Circuits Vol. 1 (2002), P. 1.

Google Scholar

[12] T. -W. Tang, X. Wang, and Y. Li, Journal of Computational Electronics, Vol. 1 (2002), p.389.

Google Scholar

[13] D.K. Ferry, Superlattices and Microstructures Vol. 27 (2000), P. 61.

Google Scholar

[14] Y. Li, T. -w. Tang, and X. Wang, IEEE Transactions on Nanotechnology Vol. 1 (2002), P. 238.

Google Scholar

[15] T. -W. Tang and Y. Li, IEEE Transactions on Nanotechnology Vol. 1 (2002), P. 243.

Google Scholar

[16] Y. Li, Computer Physics Communications Vol. 153 (2003) p.359.

Google Scholar