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Simulation of Sub-Micron GaAs MESFETs for Microwave Control

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Computational Electronics

Abstract

Studying the scaling of microwave control MESFETs in the submicron regime cannot be done accurately using simplified models of electron transport such as drift-diffusion. Non-stationary effects need to be incorporated into the model, and this is most conveniently done by solving the semi-classical BTE. The use of the conventional Monte Carlo technique to solve the BTE suffers from a drawback in that the simulation needs to be run afresh for any change in the device geometry or bias conditions. Using such a technique to study device scaling may therefore be computationally demanding.

Based on the above considerations, our choice for a BTE solver is the Basis Function technique of Rees. This technique promises to be computationally efficient because it stores all scattering information for a given material in a pre-computed data-base. In this paper, we shall briefly describe the technique and its advantages, especially vis-a-vis the modeling of GaAs Control MESFETs in the “conducting state”. Some preliminary results of our numerical model for the “Local-effect” and “Flux” operators will also be discussed.

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References

  1. LeCoz, Y. L., Semiconductor Device Simulation: A Spectral Method for Solution of the Boltzmann Transport Equation, Doctoral Dissertation, MIT, 1988

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  2. Rees, H. D., Computer Simulation of Semiconductor Devices, J. Phys. C, Vol. 6, 1973, p.262

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  3. Ruch, J. G., Electron Dynamics m. Short Channel Field-Effect Transistors, TED-19, 1972, p.652

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© 1991 Springer Science+Business Media New York

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Khan, S.A., Gutmann, R.J. (1991). Simulation of Sub-Micron GaAs MESFETs for Microwave Control. In: Hess, K., Leburton, J.P., Ravaioli, U. (eds) Computational Electronics. The Springer International Series in Engineering and Computer Science, vol 113. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-2124-9_21

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  • DOI: https://doi.org/10.1007/978-1-4757-2124-9_21

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4419-5122-9

  • Online ISBN: 978-1-4757-2124-9

  • eBook Packages: Springer Book Archive

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