Electron Conductance Models Using Maximal Entropy Random Walks
We use thermodynamic models for systems for which we have incomplete information. These models are based on theorems such as the maximum uncertainty principle, which states that we should choose the scenario which maximizes the entropy of the statistical ensemble.[more]
To model the behavior of particles plotted on a lattice, we usually use simplified models, which maximize the entropy locally: for each vertex, assume uniform probability among the possible outgoing edges: generic random walk (GRW). By considering a lattice with defects and adding a potential gradient, we can simulate classical electron conductance models.
Recently introduced models maximize entropy among possible stochastic processes, assuming a uniform distribution among possible paths: maximal entropy random walk (MERW). This leads to completely different stationary probabilistic densities, just as for the corresponding quantum ground state. This is expected also from quantum statistical thermodynamics and should give better approximations for nanoscale current flow.
This Demonstration enables you to compare stationary and dynamical behavior for both models in 2D, for various defect densities and potential gradients.[less]
To emphasize some scenarios in thermodynamical models, we fix the energy instead of assuming a uniform probability distribution. The Boltzmann distribution is a compromise between maximizing entropy and minimizing energy.
We can use the Boltzmann distribution in two different ways: locally, for each vertex of the outgoing edges (natural expansion of GRW); or globally, considering entire paths (MERW analog).
The controls let you choose the potential gradient , the edge removal probability from the regular 2D lattice , the size of the lattice and the number of a pseudorandom "seed". The "bound" button lets you toggle the cyclical boundary conditions in the vertical direction. The "eig" slider lets you use some other eigenvector than the dominant one.
The "flowing" button lets you switch between stationary probability density and dynamic current flow. By clicking the graphic you can choose the point at which the current is injected.
For more information about localization properties in quantum mechanics observed in a random walk see .
More information about the extended models and their relation to quantum mechanics can be found in .
 Z. Burda, J. Duda, J. M. Luck and B. Waclaw, "Localization of the Maximal Entropy Random Walk," Physical Review Letters, 102(16), 2009 160602. doi:10.1103/PhysRevLett.102.160602.
 J. Duda, "From Maximal Entropy Random Walk to Quantum Thermodynamics." arxiv.org/abs/1111.2253.
"Electron Conductance Models Using Maximal Entropy Random Walks"
Wolfram Demonstrations Project
Published: August 22 2016