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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Microwave and Optica...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Microwave and Optical Technology Letters
Article . 2003 . Peer-reviewed
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Semiconductor nonlinear device modeling using multiwavelets

Authors: Ke Wang; George W. Pan; R. Techentin; B. Gilbert;

Semiconductor nonlinear device modeling using multiwavelets

Abstract

AbstractModeling and simulation of seminconductor devices requires solution of highly nonlinear equations, such as the Boltzmann transport, hydrodynamic, and drift‐diffusion equations. The conventional finite‐element method (FEM) and finite difference (FD) schemes always result in oscillatory results, and are ineffective when the cell Reynolds number of the system is large. Several ad hoc schemes have been employed to address the instability issue, including the Scharfetter–Gummel transformation, Petrov–Galerkin method, and upwind algorithms; but each suffers from its shortcomings. We propose a new approach of the multiwavelet‐based finite‐element method (MWFEM) to solve the semiconductor drift‐diffusion system. In this approach, multiscalets are employed as the basis functions. Due to its ability of tracking the tendency, namely, the first derivative of the unknown function, the MWFEM shares the versatility of the conventional FEM while remaining stable in a highly nonlinear system. Comparison with the Scharfetter–Gummel method, upwind FEM, and conventional FEM shows that the MWFEM performs excellently under circumstances of both small‐ and large‐cell Reynolds numbers. A complete 1D drift‐diffusion solver base on the MWFEM is implemented. Numerical results demonstrate the high efficiency and accuracy of the new method. © 2003 Wiley Periodicals, Inc. Microwave Opt Technol Lett 37: 436–440, 2003; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.10942

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These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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