QUASI-NEUTRAL LIMIT OF THE MULTIDIMENSIONAL DRIFT-DIFFUSION MODELS FOR SEMICONDUCTORS

2010 ◽  
Vol 20 (09) ◽  
pp. 1649-1679 ◽  
Author(s):  
QIANGCHANG JU ◽  
SHU WANG

This paper is devoted to the rigorous justification of the quasi-neutral limit of bipolar transient drift-diffusion models for semiconductors with p–n junctions in the multidimensional space. The general initial data and smooth sign-changing doping profiles with good boundary conditions are considered. The limit is performed rigorously by using multiple scaling asymptotic analysis, in which one main point is the construction of a more accurate approximate solution involving the effect of initial layer. The uniform estimates with respect to the scaled Debye length are obtained through the elaborate energy method and the relative entropy functional method.

2006 ◽  
Vol 16 (04) ◽  
pp. 537-557 ◽  
Author(s):  
SHU WANG

In this paper the vanishing Debye length limit (space charge neutral limit) of bipolar time-dependent drift-diffusion models for semiconductors with p-n-junctions (i.e. with a fixed bipolar background charge) is studied in the multi-dimensional case. For generally smooth sign-changing doping profiles with good boundary conditions, the quasineutral limit (zero-Debye-length limit) is justified rigorously in the Sobolev's norm uniformly in time. The proof is based on the elaborate energy method and the relative entropy functional method which yields the uniform estimates with respect to the scaled Debye length.


2003 ◽  
Vol 13 (04) ◽  
pp. 463-470 ◽  
Author(s):  
CHRISTIAN SCHMEISER ◽  
SHU WANG

The limit for vanishing Debye length (charge neutral limit) in a bipolar drift-diffusion model for semiconductors with general initial data allowing the presence of an initial layer is studied. The quasineutral limit (zero-Debye-length limit) is performed rigorously by using two different entropy functionals which yield appropriate uniform estimates. This investigation extends the results of Refs. 7 and 8 for charge neutral initial data where no initial layer occurs.


2005 ◽  
Vol 204 (2) ◽  
pp. 533-561 ◽  
Author(s):  
Carlo de Falco ◽  
Emilio Gatti ◽  
Andrea L. Lacaita ◽  
Riccardo Sacco

2005 ◽  
Vol 118 (3-4) ◽  
pp. 625-667 ◽  
Author(s):  
Pierre Degond ◽  
Florian M�hats ◽  
Christian Ringhofer

2020 ◽  
Vol 52 (5) ◽  
pp. 1848-1866
Author(s):  
Ronald Hübner ◽  
Thomas Pelzer

Abstract Several drift-diffusion models have been developed to account for the performance in conflict tasks. Although a common characteristic of these models is that the drift rate changes within a trial, their architecture is rather different. Comparative studies usually examine which model fits the data best. However, a good fit does not guarantee good parameter recovery, which is a necessary condition for a valid interpretation of any fit. A recent simulation study revealed that recovery performance varies largely between models and individual parameters. Moreover, recovery was generally not very impressive. Therefore, the aim of the present study was to introduce and test an improved fit procedure. It is based on a grid search for determining the initial parameter values and on a specific criterion for assessing the goodness of fit. Simulations show that not only the fit performance but also parameter recovery improved substantially by applying this procedure, compared to the standard one. The improvement was largest for the most complex model.


2011 ◽  
Vol 03 (10) ◽  
pp. 423-429 ◽  
Author(s):  
Samir Labiod ◽  
Saida Latreche ◽  
Mourad Bella ◽  
Christian Gontrand

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