1998
DOI: 10.1137/s1064827594275091
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A 3D Rectangular Mixed Finite Element Method to Solve the Stationary Semiconductor Equations

Abstract: A mixed finite element method using rectangular elements is presented to solve the drift-diffusion model of semiconductors. The method, which is, on the one hand, a classical primal mixed finite element method, generalizes the one-dimensional Scharfetter-Gummel scheme to three dimensions in a natural way. The major contribution to a successful implementation of the method is the development of a fast and exact numerical evaluation of exponential fitted integrals, to which considerable attention has been devote… Show more

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Cited by 8 publications
(7 citation statements)
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“…Concurrently, a fine mesh leads to large system equations and, therefore, requires efficient solvers. Our solution method is implemented in the finite-element multiphysics framework NM-SESES [27], [28], which allows the coupling of different physical fields and provides efficient numerics. NM-SESES computes the numerical solution of the equations of both electrical and thermal transport which, in our case, are coupled via Joule's heating and temperature-dependent local currentvoltage curves.…”
Section: A Boundary-value Problem For Thin-film Modulesmentioning
confidence: 99%
“…Concurrently, a fine mesh leads to large system equations and, therefore, requires efficient solvers. Our solution method is implemented in the finite-element multiphysics framework NM-SESES [27], [28], which allows the coupling of different physical fields and provides efficient numerics. NM-SESES computes the numerical solution of the equations of both electrical and thermal transport which, in our case, are coupled via Joule's heating and temperature-dependent local currentvoltage curves.…”
Section: A Boundary-value Problem For Thin-film Modulesmentioning
confidence: 99%
“…These kinds of matrices may arise in stationary semiconductor devices [36,43,42], in constrained optimization as well as least-squares, saddle-point and Stokes problems, with a regularizing/stabilizing term [28]. Let L B ∈ R p×p and L C ± ∈ R q×q be nonsingular matrices such that either (2.1) or (2.2) holds with…”
Section: The Hamiltonian Matrix When the Matrix Block B ∈ Rmentioning
confidence: 99%
“…Linear systems of the form (1.1)-(1.2) arise in a variety of scientific and engineering applications, including computational fluid dynamics [21,23,26], mixed finite element approximation of elliptic partial differential equations [16,38], optimization [25,30,34], optimal control [13], weighted and equality constrained least squares estimation [14], stationary semiconductor device [36,42,43], structural analysis [44], electrical networks [44], inversion of geophysical data [31], and so on.…”
Section: Introductionmentioning
confidence: 99%
“…Efficiency of our 2D and 3D integration method with respect to the Gauss-product quadrature has been discretized with the approach presented in [14]. Here R represents the recombination rate, ψ the potential field, n i the intrinsic density, D the diffusion coefficient and V T the thermal voltage.…”
Section: Table Imentioning
confidence: 99%