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In recent years the mathematical modeling of charge transport in semi conductors has become a thriving area in applied mathematics. The drift diffusion equations, which constitute the most popular model for the simula tion of the electrical behavior of semiconductor devices, are by now mathe matically quite well understood. As a consequence numerical methods have been developed, which allow for reasonably efficient computer simulations in many cases of practical relevance. Nowadays, research on the drift diffu sion model is of a highly specialized nature. It concentrates on the explora tion of possibly more efficient discretization methods (e.g. mixed finite elements, streamline diffusion), on the improvement of the performance of nonlinear iteration and linear equation solvers, and on three dimensional applications. The ongoing miniaturization of semiconductor devices has prompted a shift of the focus of the modeling research lately, since the drift diffusion model does not account well for charge transport in ultra integrated devices. Extensions of the drift diffusion model (so called hydrodynamic models) are under investigation for the modeling of hot electron effects in submicron MOS-transistors, and supercomputer technology has made it possible to employ kinetic models (semiclassical Boltzmann-Poisson and Wigner Poisson equations) for the simulation of certain highly integrated devices.
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Bibliographic Information
Book Title: Semiconductor Equations
Authors: Peter A. Markowich, Christian A. Ringhofer, Christian Schmeiser
DOI: https://doi.org/10.1007/978-3-7091-6961-2
Publisher: Springer Vienna
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Wien 1990
Hardcover ISBN: 978-3-211-82157-2Published: 07 June 1990
Softcover ISBN: 978-3-7091-7452-4Published: 19 September 2011
eBook ISBN: 978-3-7091-6961-2Published: 06 December 2012
Edition Number: 1
Number of Pages: X, 248
Topics: Analysis, Classical Electrodynamics, Theoretical, Mathematical and Computational Physics, Math. Applications in Chemistry, Computational Intelligence, Electronics and Microelectronics, Instrumentation