Download PDF by Andreas Schenk: Advanced Physical Models for Silicon Device Simulation

By Andreas Schenk

ISBN-10: 370916494X

ISBN-13: 9783709164945

ISBN-10: 3709173345

ISBN-13: 9783709173343

Device simulation has major reasons: to appreciate and depict the actual procedures within the inside of a tool, and to make trustworthy predictions of the habit of an expected new machine new release. in the direction of those pursuits the standard of the actual versions is decisive. The introductory bankruptcy of this booklet features a serious evaluation on types for silicon machine simulators, which depend on moments of the Boltzmann equation. just about primary experimental and theoretical paintings an in depth number of prevalent versions is mentioned by way of actual accuracy and alertness effects. This overview indicates that the standard and potency of the phys­ ical versions, that have been constructed for the aim of numerical simulation during the last 3 a long time, is adequate for plenty of functions. however, the fundamental figuring out of the microscopic tactics, in addition to the individuality and accuracy of the types are nonetheless unsatisfactory. therefore, the next chapters of the ebook take care of the derivation of physics-based versions from a microscopic point, additionally utilizing new methods of "taylored quantum-mechanics". each one version is in comparison with experimental info and utilized to a couple of simulation examination­ ples. the issues while ranging from "first ideas" and making the versions appropriate for a tool simulator may also be validated. we'll convey that calls for for swift computation and numerical robustness require a compromise among actual soundness and analytical simplicity, and that the possible accuracy is restricted by means of the complexity of the problems.

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For silicon the shift amounts about 15 me V - 35 meV in the density ran~e 3 x 1019 cm-3 - 1 x 1021 cm-3 • Hence, for emitter dopings larger than 102 cm- 3 the current gain of bipolar transistors becomes strongly reduced. A simple explicit expression for band tails in silicon was suggested by Pan et al. 215]. 66) where Eint signifies the above described intersection energy between Sayakanit's and Kane's model and Tref is a reference temperature with the value Tref = 125 K. Eint was proposed to be the energy zero of the tail.

An increase of the transverse effective mass indicates that the band curvature in this direction decreases with rising temperature. 1. Coefficients for the hole DOS mass (Eq. 4683382 X 10 -1. 230]. Both mechanisms really change the effective mass, since the energy spectrum of a crystal is a function of occupation and lattice constant. Increasing occupation of higher electron states, on the other hand, will highlight the nonparabolicity of the band structure, since the measured effective mass appears as averaged quantity over a small energy range above the conduction band edge.

These comprise scattering from charged interface states, fixed oxide charges, bulk impurities, surface and bulk phonons, and from surface roughness. 184]. 285]. Fig. 8 illustrates the dependence of the electron mobility on the Si-Si0 2 interface microroughness as measured by Ohmi et al. 208]. e. the electron (hole) gas is quasi-two-dimensional in nature. In this case the sub band structure itself depends on the gate voltage, and all scattering rates are modified within the inversion layer. 285], the description of the mobility is even more difficult.

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Advanced Physical Models for Silicon Device Simulation by Andreas Schenk

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