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We generalize the compact group approach to conducting systems to give a self-consistent analytical solution to the problem of the effective quasistatic electrical conductivity of macroscopically homogeneous and isotropic dispersions of…

统计力学 · 物理学 2019-11-05 M. Ya. Sushko , A. K. Semenov

We consider the problem of electron transport in segregated conductor-insulator composites in which the conducting particles are connected to all others via tunneling conductances, thus forming a global tunnelingconnected resistor network.…

无序系统与神经网络 · 物理学 2012-01-23 B. Nigro , C. Grimaldi , P. Ryser

A many-particle theory is presented for the effective quasistatic permittivity of macroscopically homogeneous and isotropic systems of inhomogeneous dielectric particles with different degrees of penetrability. The theory is based upon our…

软凝聚态物质 · 物理学 2018-11-06 M. Ya. Sushko , A. V. Dorosh

We noted that the tunneling-percolation framework is quite well understood at the extreme cases of percolation-like and hopping-like behaviors but that the intermediate regime has not been previously discussed, in spite of its relevance to…

材料科学 · 物理学 2015-05-18 G. Ambrosetti , C. Grimaldi , I. Balberg , T. Maeder , A. Danani , P. Ryser

The effective quasistatic conductivity of composite polymeric electrolytes is studied in terms of a hard-core--penetrable-layer model. Used to incorporate the interface phenomena (such as amorphization of the polymer matrix around filler…

材料科学 · 物理学 2019-11-05 M. Ya. Sushko , A. K. Semenov

While classical percolation is well understood, percolation effects in randomly packed or jammed structures are much less explored. Here we investigate both experimentally and theoretically the electrical percolation in a binary composite…

材料科学 · 物理学 2021-04-20 Shiva Pokhrel , Brendon Waters , Solveig Felton , Zhi-Feng Huang , Boris Nadgorny

Here, we show that the conductivity of conductor-insulator composites in which electrons can tunnel from each conducting particle to all others may display both percolation and tunneling (i.e. hopping) regimes depending on few…

无序系统与神经网络 · 物理学 2010-11-02 G. Ambrosetti , I. Balberg , C. Grimaldi

Macroscopic properties of heterogeneous media are frequently modelled by regular lattice models, which are based on a relatively small basic cluster of lattice sites. Here, we extend one of such models to any cluster's size kxk. We also…

统计力学 · 物理学 2015-03-24 W. Olchawa , R. Wiśniowski , D. Frączek , R. Piasecki

In this work, we propose an interdependent, multilayer network model and percolation process that matches infrastructures better than previous models by allowing some nodes to survive when their interdependent neighbors fail. We consider a…

适应与自组织系统 · 物理学 2017-10-04 Run-Ran Liu , Daniel A. Eisenberg , Thomas P. Seager , Ying-Cheng Lai

When conducting bonds are occupied randomly in a two-dimensional square lattice, the conductivity of the system increases continuously as the density of those conducting bonds exceeds the percolation threshold. Such a behavior is well known…

统计力学 · 物理学 2014-11-03 Seongmin Kim , Y. S. Cho , N. A. M. Araujo , B. Kahng

In a Monte Carlo study the conductivity of two-dimensional random stick systems is investigated from the percolation threshold up to ten times the percolation threshold density. We propose a model explicitly depending on the stick density…

无序系统与神经网络 · 物理学 2012-10-10 Milan Žeželj , Igor Stanković

A diffuse-interface model for microstructure with an arbitrary number of components and phases was developed from basic thermodynamic and kinetic principles and formalized within a variational framework. The model includes a composition…

材料科学 · 物理学 2011-07-28 Daniel A. Cogswell , W. Craig Carter

The dielectric layers surrounding a metasurface have a large impact on its frequency and angular response. The notion of effective permittivity captures this dependence by suggesting that a layered dielectric environment will perturb…

应用物理 · 物理学 2024-10-24 Christopher T. Howard , William D. Hunt , Kenneth W. Allen

Recently, the percolation transition has been characterized on interacting networks both in presence of interdependent and antagonistic interactions. Here we characterize the phase diagram of the percolation transition in two Poisson…

无序系统与神经网络 · 物理学 2015-06-15 Kun Zhao , Ginestra Bianconi

Every realistic instance of a percolation problem is faced with some degree of polydispersity, e.g., the pore-size distribution of an inhomogeneous medium, the size distribution of filler particles in composite materials, or the vertex…

统计力学 · 物理学 2025-06-16 Fabian Coupette , Tanja Schilling

We analyze the propagation of experimentally relevant two-particle correlations for one-dimensional interacting bosons, and give evidence that many-body chaos induces the emergence of an effective diffusive regime for the fully coherent…

量子物理 · 物理学 2025-02-12 Óscar Dueñas , David Peña , Alberto Rodríguez

We study a coupled dynamics of a network and a particle system. Particles of density $\rho$ diffuse freely along edges, each of which is rewired at a rate given by a decreasing function of particle flux. We find that the coupled dynamics…

统计力学 · 物理学 2008-03-24 Sang-Woo Kim , Jae Dong Noh

The possible functional forms of the effective conductivity sigma_{eff} of the randomly inhomogeneous two-phase system at arbitrary values of concentrations are discussed. A new functional equation, generalizing the duality relation, is…

凝聚态物理 · 物理学 2009-11-07 S. A. Bulgadaev

We study the permeability and selectivity (`permselectivity') of model membranes made of polydisperse polymer networks for molecular penetrant transport, using coarse-grained, implicit-solvent computer simulations. The permeability…

软凝聚态物质 · 物理学 2020-09-30 Won Kyu Kim , Richard Chudoba , Sebastian Milster , Rafael Roa , Matej Kanduc , Joachim Dzubiella

Percolation theory has been widely used to study phase transitions in complex networked systems. It has also successfully explained several macroscopic phenomena across different fields. Yet, the existent theoretical framework for…

物理与社会 · 物理学 2020-12-01 Jiarong Xie , Xiangrong Wang , Ling Feng , Jin-Hua Zhao , Yamir Moreno , Yanqing Hu
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