Random Network Models and Quantum Phase Transitions in Two Dimensions
B. Kramer, T. Ohtsuki, S. Kettemann

TL;DR
This paper reviews the random network model related to the Integer Quantum Hall Effect, discussing its properties, generalizations, and connections to other models, providing insights into quantum phase transitions in two-dimensional systems.
Contribution
It offers a comprehensive overview of the network model, including new results on conductance distributions and mappings to other theoretical models, advancing understanding of 2D quantum phase transitions.
Findings
Analysis of localization properties at critical points
New results on conductance distribution in magneto-transport
Connections established between network models and Dirac/Ising models
Abstract
An overview of the random network model invented by Chalker and Coddington, and its generalizations, is provided. After a short introduction into the physics of the Integer Quantum Hall Effect, which historically has been the motivation for introducing the network model, the percolation model for electrons in spatial dimension 2 in a strong perpendicular magnetic field and a spatially correlated random potential is described. Based on this, the network model is established, using the concepts of percolating probability amplitude and tunneling. Its localization properties and its behavior at the critical point are discussed including a short survey on the statistics of energy levels and wave function amplitudes. Magneto-transport is reviewed with emphasis on some new results on conductance distributions. Generalizations are performed by establishing equivalent Hamiltonians. In…
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