Open AccessBook
Introduction to percolation theory
Dietrich Stauffer,Amnon Aharony +1 more
- 01 Jan 1992
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TL;DR: In this article, a scaling solution for the Bethe lattice is proposed for cluster numbers and a scaling assumption for cluster number scaling assumptions for cluster radius and fractal dimension is proposed.
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Abstract: Preface to the Second Edition Preface to the First Edition Introduction: Forest Fires, Fractal Oil Fields, and Diffusion What is percolation? Forest fires Oil fields and fractals Diffusion in disordered media Coming attractions Further reading Cluster Numbers The truth about percolation Exact solution in one dimension Small clusters and animals in d dimensions Exact solution for the Bethe lattice Towards a scaling solution for cluster numbers Scaling assumptions for cluster numbers Numerical tests Cluster numbers away from Pc Further reading Cluster Structure Is the cluster perimeter a real perimeter? Cluster radius and fractal dimension Another view on scaling The infinite cluster at the threshold Further reading Finite-size Scaling and the Renormalization Group Finite-size scaling Small cell renormalization Scaling revisited Large cell and Monte Carlo renormalization Connection to geometry Further reading Conductivity and Related Properties Conductivity of random resistor networks Internal structure of the infinite cluster Multitude of fractal dimensions on the incipient infinite cluster Multifractals Fractal models Renormalization group for internal cluster structure Continuum percolation, Swiss-cheese models and broad distributions Elastic networks Further reading Walks, Dynamics and Quantum Effects Ants in the labyrinth Probability distributions Fractons and superlocalization Hulls and external accessible perimeters Diffusion fronts Invasion percolation Further reading Application to Thermal Phase Transitions Statistical physics and the Ising model Dilute magnets at low temperatures History of droplet descriptions for fluids Droplet definition for the Ising model in zero field The trouble with Kertesz Applications Dilute magnets at finite temperatures Spin glasses Further reading Summary Numerical Techniques
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Citations
Percolating Conduction in Finite Nanotube Networks
TL;DR: In this article, the percolating conductance of a new class of nanocomposite thin-film transistors, with channels composed of isotropic ensembles of nanotubes or nanowires, is analyzed as a function of wire/tube density and channel length.
From Gestalt Theory to Image Analysis
Agnès Desolneux,Lionel Moisan,Jean-Michel Morel +2 more
- 01 Jan 2008
Simulating fire patterns in heterogeneous landscapes
TL;DR: In this paper, a broad-scale probabilistic model of forest fires, EMBYR, is developed to simulate the effects of large fires burning through heterogeneous landscapes, where fire ignition and spread are simulated on a gridded landscape by examining each burning site at each time step, independently evaluating the probability of spread to eight neighbors based on fuel type, fuel moisture, wind speed and direction, and distributing firebrands to downwind sites, where the probability for ignition of new fires is a function of fuel type and moisture conditions.
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Percolation theory and network modeling applications in soil physics
Brian Berkowitz,Robert P. Ewing +1 more
TL;DR: The application of percolation theory to porous media is closely tied to network models as discussed by the authors, which is a detailed model of a porous medium, generally incorporating porescale descriptions of the medium and the physics of pore-scale events.
288
Brownian motion: a paradigm of soft matter and biological physics
Erwin Frey,Klaus Kroy +1 more
TL;DR: A pedagogical introduction to Brownian motion on the occasion of the 100th anniversary of Einstein's 1905 paper on the subject can be found in this article, where several lines of further developments and applications to soft condensed matter and biology are discussed.
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