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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/2179

Title: A Stochastic Approach for Investigation Ultrafast Phenomena in Semiconductors
Authors: Gurov, T.
Dimov, I.
Nedjalkov, M.
Keywords: Monte Carlo Algorithms
Monte Carlo
Issue Date: 2003
Publisher: Institute of Mathematics and Informatics Bulgarian Academy of Sciences
Citation: Pliska Studia Mathematica Bulgarica, Vol. 14, No 1, (2003), 45p-57p
Abstract: In this paper a stochastic approach is proposed for investigation the ultrafast evolution of electrons interacting with phonons in the presence of an applied electric field. The quantum-kinetic equation describing the above ultrafast phenomena contains polynomial non-linearity which allows to use the link between non-stationary iterative processes and the branching stochastic processes. The considered stochastic approach relies on the numerical Monte Carlo (MC) theory as applied to the integral form of the quantum-kinetic equation and estimates the electron energy distribution using statistical averages over long evolution times. The numerical tests were performed for GaAs material parameters. The numerical results for the electron energy distribution function in the case of a non-linear electron quantum transport is compared with the obtained results in the linear case.
Description: 2002 Mathematics Subject Classification: 65C05
URI: http://hdl.handle.net/10525/2179
ISSN: 0204-9805
Appears in Collections:2003 Volume 14

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