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Rode's Method

This resource has a 5.3 Ranking

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Usage Stats
Overall Period: Updated 19 Jul, 2008
Users: 21
Jobs: 142
Avg. exec. time: 2 secs
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Avg. Review: 0.0 out of 5 stars
Citations: 0

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Available Versions

  • 1.1 (published)
Version 1.1 - published on 26 Mar, 2008
Contributor(s) Mohamed Mohamed, Anjali Bharthuar, Umberto Ravaioli
University of Illinois, Urbana-Champaign
At a glance Calculates low field electron mobility in III-V semiconductors using Rode's Method
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Description

Rode's method for calculating low Field electron mobility [1,2] is a technique with good convergence and stability properties that provides a straightforward physical interpretation of the exact transport equations. Its simple formalism makes generalization possible to include Fermi statistics, energy band nonparabolicity, s-type and p-type electron wave function admixture, arbitrary time dependence, and combination of various scattering mechanisms. This method gives accurate results for most cases concerning direct semiconductors. The III-V crystals are, for the most part, covalently bonded and possess the zinc-blende structure. Most of the III-V semiconductors are direct and are therefore well suited to the model assumed by Rode's technique.

With this interface, you can change parameters and compare the results of various runs to gain better understanding of which inputs affect low-field electron mobility the most.

Credits

The underlying "rode" program was written by Umberto Ravaioli and Massimo Macucci.

References
  • D. L. Rode, Low-field electron transport, (R. K. Willardson, A. C. Beer), Semiconductors and Semimetals, Academic Press, New York – London, 10, 1–90 (1975).
  • D. L. Rode, Physical Review B, “Electron mobility in direct-gap polar semiconductors”, 2, 1012 (1970).
  • Cite this work

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      1. Simulations were performed by Low Field Mobility on http://nanohub.org

    • Mohamed, Mohamed; Bharthuar, Anjali; Ravaioli, Umberto (2008), "Rode's Method," doi: 10254/nanohub-r2534.1.

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    • Simulation services for results presented here were provided by the Network for Computational Nanotechnology (NCN) at nanoHUB.org

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