2013
DOI: 10.1088/0268-1242/28/10/105022
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Phase-space description of wave packet approach to electronic transport in nanoscale systems

Abstract: The dynamics of conduction electrons in resonant tunnelling nanosystems is studied within the phase-space approach based on the Wigner distribution function. The time evolution of the distribution function is calculated from the time-dependent quantum kinetic equation for which an effective numerical method is presented. Calculations of the transport properties of a double-barrier resonant tunnelling diode are performed to illustrate the proposed techniques. Additionally, analysis of the transient effects in t… Show more

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Cited by 8 publications
(4 citation statements)
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“…¶ For numerical purposes a finite coherence length has been sometimes introduced in the potential term of the WF, see e.g. [30,31]. some coherence between two points at distance s. If a stationary system is considered, and we limit ourself to a single extended eigenstate ψ(x), the coherence length extends to infinity and the WF becomes an improper function.…”
Section: Finite Coherence Lengthmentioning
confidence: 99%
“…¶ For numerical purposes a finite coherence length has been sometimes introduced in the potential term of the WF, see e.g. [30,31]. some coherence between two points at distance s. If a stationary system is considered, and we limit ourself to a single extended eigenstate ψ(x), the coherence length extends to infinity and the WF becomes an improper function.…”
Section: Finite Coherence Lengthmentioning
confidence: 99%
“…represent the time-dependent probability densities in terms of position and momentum, respectively. In contrast to the classical distribution functions the WDF can take negative values in some regions of the phasespace [14]. The negativity of the WDF is the reason for the non-classical character of this distribution function [15].…”
Section: Phase-space Representation Of Quantum State and Its Dynamicsmentioning
confidence: 95%
“…In the classical limit, the Wigner function can be approximated by the classical distribution function f (x, p, t) according to the formula [4]:…”
Section: Theory and Model Of The Systemmentioning
confidence: 99%