English

Random network models with variable disorder of geometry

Disordered Systems and Neural Networks 2019-10-09 v1

Abstract

Recently it was shown (I.A.Gruzberg, A. Kl\"umper, W. Nuding and A. Sedrakyan, Phys.Rev.B 95, 125414 (2017)) that taking into account random positions of scattering nodes in the network model with U(1)U(1) phase disorder yields a localization length exponent 2.37±0.0112.37 \pm 0.011 for plateau transitions in the integer quantum Hall effect. This is in striking agreement with the experimental value of 2.38±0.062.38 \pm 0.06. Randomness of the network was modeled by replacing standard scattering nodes of a regular network by pure tunneling resp.reflection with probability pp where the particular value p=1/3p=1/3 was chosen. Here we investigate the role played by the strength of the geometric disorder, i.e. the value of pp. We consider random networks with arbitrary probability 0<p<1/20 <p<1/2 for extreme cases and show the presence of a line of critical points with varying localization length indices having a minimum located at p=1/3p=1/3.

Keywords

Cite

@article{arxiv.1907.00760,
  title  = {Random network models with variable disorder of geometry},
  author = {Andreas Klümper and Win Nuding and Ara Sedrakyan},
  journal= {arXiv preprint arXiv:1907.00760},
  year   = {2019}
}

Comments

arXiv admin note: text overlap with arXiv:1604.06844

R2 v1 2026-06-23T10:08:39.945Z