Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-05-06
Phys. Rev. B 84, 165314 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
12 pages, 13 figures
Scientific paper
10.1103/PhysRevB.84.165314
We consider magnetotransport in high-mobility 2D electron gas in a non-quantizing magnetic field. We employ a weakly chiral network model to test numerically the prediction of the scaling theory that the transition from an Anderson to a quantum Hall insulator takes place when the Drude value of the non-diagonal conductivity is equal to 1/2. The weaker is the magnetic field the harder it is to locate a delocalization transition using quantum simulations. The main idea of the present study is that the position of the transition does not change when a strong local inhomogeneity is introduced. Since the strong inhomogeneity suppresses interference, transport reduces to classical percolation. We show that the corresponding percolation problem is bond percolation over two sublattices coupled to each other by random bonds. Simulation of this percolation allows to access the domain of very weak magnetic fields. Simulation results confirm the criterion \sigma_{xy}=1/2 for values \sigma_{xx}\sim 10, where they agree with earlier quantum simulation results. However for larger \sigma_{xx} we find that the transition boundary is described by \sigma_{xy} \sigma_{xx}^k with k= 0.5, i.e., the transition takes place at higher magnetic fields. The strong inhomogeneity limit of magnetotransport in the presence of a random magnetic field, pertinent to composite fermions, corresponds to a different percolation problem. In this limit we find for the delocalization transition boundary \sigma_{xy} \sigma_{xx}^{0.6}.
Mkhitaryan V. V.
Ortuno Miguel
Raikh Mikhail E.
Somoza Andres M.
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