1973
DOI: 10.1103/physrevb.7.4491
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Stochastic Transport in a Disordered Solid. I. Theory

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Cited by 1,174 publications
(678 citation statements)
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“…(34), (45) and (54)] for a stationary initial condition and D ν [Eqs. (32), (43) and (53)] if the system is not initially in the stationary state (see also Figs. 2, 3 and 5).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…(34), (45) and (54)] for a stationary initial condition and D ν [Eqs. (32), (43) and (53)] if the system is not initially in the stationary state (see also Figs. 2, 3 and 5).…”
Section: Discussionmentioning
confidence: 99%
“…Our final example is a paradigm model for aging, the Lévy walk [30,31], which is an extension of the continuous-time random walk [32,33] to superdiffusive dynamics. In its simplest form, this model describes a particle whose velocity can have values AEv 0 with random switching between them.…”
Section: Introductionmentioning
confidence: 99%
“…where f(m) describes the initial distribution of the charge, a is the distance between neighboring monomer units, (n À m)a is the distance between the orbitals localized on monomer units n and m, and c n (t,m) is the coefficient of the orbital on monomer unit n at time t for the case of the hole wavefunction being initially localized on monomer unit m. According to the work of Kubo, the frequency-dependent (one-dimensional) mobility of charge carriers is given by [126][127][128] …”
Section: This Journal Is C the Owner Societies 2010mentioning
confidence: 99%
“…An implicit convergence factor exp(Àot) (lim o -0) is understood in the integral. 127,128 For normal Gaussian diffusion the mean squared displacement of charge carriers moving along an infinitely long one-dimensional chain increases linearly with time: View Online where D is the diffusion constant. In this special case, the mobility is frequency independent, and eqn (27) reduces to the Einstein relation…”
Section: This Journal Is C the Owner Societies 2010mentioning
confidence: 99%
“…Anomalous behavior characterized through constant time periods (called also trapping events) is observed in variety of physical systems, including charge carrier transport in amorphous semiconductors [29,28,25], transport in micelles [24], intracellular transport [4], motion of mRNA molecules inside E. coli cells [9], for a review including discussion of different applications see [5]. This specific behavior is also typical for some financial data especially corresponding to interest rates and stock prices, for which the constant time periods occur when the liquidity of the analyzed assets is low [12].…”
Section: Introductionmentioning
confidence: 99%