English

Shot Noise Suppression at 2D Hopping

Disordered Systems and Neural Networks 2009-10-31 v2

Abstract

We have used Monte Carlo simulation to calculate the shot noise intensity SI(ω)S_I(\omega) at 2D hopping using two models: a slanted lattice of localized sites with equal energies and a set of localized sites with random positions and energies. For wide samples we have found a similar dependence of the Fano factor FSI(0)/2eIF \equiv S_I(0)/2eI on the sample length LL: FLαF \propto L^{-\alpha} where α=0.85±0.02\alpha =0.85 \pm 0.02 and α=0.85±0.07\alpha = 0.85\pm 0.07 in uniform and random models, respectively. Moreover, at least for the uniform model, all the data for FF as the function of sample length LL and width WW may be presented via a single function of the ratio W/LβW/L^{\beta}, with β=2α10.7\beta = 2\alpha-1 \approx 0.7. This relation has been interpreted using a simple scaling theory.

Cite

@article{arxiv.cond-mat/0005458,
  title  = {Shot Noise Suppression at 2D Hopping},
  author = {Viktor A. Sverdlov and Alexander N. Korotkov and Konstantin K. Likharev},
  journal= {arXiv preprint arXiv:cond-mat/0005458},
  year   = {2009}
}

Comments

5 pages, 4 figures, new data added to Fig.2

R2 v1 2026-07-22T10:03:17.444Z