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To understand the conversion efficiency of the chosen dye architecture unit we selected TiO2 as a model for semiconductor.
In this study results are presented for the large-scale parallel performance of an algebraic multilevel preconditioner for solution of the drift-diffusion model for semiconductor devices.
Hysteresis in the current-voltage curve of a resonant tunneling diode is simulated and analyzed in the quantum hydrodynamic (QHD) model for semiconductor devices.
This chapter explains that as the fabless business model becomes the preferred model for semiconductor product companies, the foundries are not only keeping pace with the manufacturing capacity, but also are starting to lead in adopting the next process technology node at par with their integrated device manufacturer (IDM) competitors.
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Therefore, attempts have been made to apply the band model for semiconductors to account qualitatively for the origin of pseudocapacitance.
In this paper, a second-order Total Variation Diminishing (TVD) finite difference scheme of upwind type is employed for the numerical approximation of the classical hydrodynamic model for semiconductors proposed by Bløtekjær and Baccarani Wordeman.
At the same time, in the hierarchy of mathematical models for semiconductor device modelling constructed on the basis of the top down approach, we deal predominantly with models where nonlinearity is essential.
The noise-equivalent circuit model for the semiconductor lasers can be obtained from the rate equation.
We consider a one-dimensional coupled stationary Schrödinger drift-diffusion model for quantum semiconductor device simulations.
A model for the semiconductor energy-band structure was proposed to explain the enhancement and suppression of photocatalytic activity.
In this paper, we derive a coupled Schrödinger drift diffusion self-consistent stationary model for quantum semiconductor device simulations.
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