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We have studied the resistance of two-dimensional random percolating networks of zero-width metallic nanowires (rings or sticks). We toke into account the nanowire resistance per unit length, the junction (nanowire/nanowire contact)…

统计力学 · 物理学 2022-09-26 Yuri Yu. Tarasevich , Andrei V. Eserkepov , Irina V. Vodolazskaya

We have studied the electrical conductance of two-dimensional (2D) random percolating networks of zero-width metallic nanowires (a mixture of rings and sticks). We toke into account the nanowire resistance per unit length and the junction…

无序系统与神经网络 · 物理学 2023-03-08 Yuri Yu. Tarasevich , Andrei V. Eserkepov

We investigate the steady state of a two-dimensional random resistor network subjected to two competing biased percolations as a function of the bias strength. The properties of the linear and nonlinear regimes are studied by means of Monte…

统计力学 · 物理学 2007-05-23 C. Pennetta , E. Alfinito , L. Reggiani

Using computer simulations, we have studied the percolation and the electrical conductance of two-dimensional, random percolating networks of curved, zero-width metallic nanowires. We mimicked the curved nanowires using circular arcs. The…

统计力学 · 物理学 2023-05-01 Yuri Yu. Tarasevich , Andrei V. Eserkepov , Irina V. Vodolazskaya

The state of a 2-D random resistor network, resulting from the simultaneous evolutions of two competing biased percolations, is studied in a wide range of bias values. Monte Carlo simulations show that when the external current $I$ is below…

统计力学 · 物理学 2009-11-07 C. Pennetta , L. Reggiani , E. Alfinito , G. Trefan

Interest in studying the conductive properties of networks made from randomly distributed nanowires is due to their numerous technological applications. Although the sheet resistance of such networks can be calculated directly, the…

无序系统与神经网络 · 物理学 2026-02-03 Yuri Yu. Tarasevich , Irina V. Vodolazskaya , Andrei V. Eserkepov

Using computer simulation, we investigated the dependence of the electrical conductivity of random two-dimensional systems of straight nanowires on the main parameters. Both the resistance of the conductors and the resistance of the…

无序系统与神经网络 · 物理学 2025-08-26 Yuri Yu. Tarasevich , Andrei V. Eserkepov , Irina V. Vodolazskaya

Random assemblies of magnetic nanowires represent a unique class of materials with promising applications in spintronics and information storage. These assemblies exhibit complex behavior due to the combination of magnetic dipolar…

统计力学 · 物理学 2025-07-29 Frank Barrows , Ezio Iacocca , Francesco Caravelli

We investigate the behavior of two dimensional resistor networks, with finite sizes and different kinds (rectangular, hexagonal, and triangular) of lattice geometry. We construct the network by having a network-element repeat itself $L_x$…

经典物理 · 物理学 2020-12-30 Rajat Chandra Mishra , Himadri Barman

The effective conductivity ($T^{eff}$) of 2D and 3D Random Resistor Networks (RRNs) with random edge conductivity are studied. The combined influence of geometrical disorder, which controls the overall connectivity of the medium, and leads…

无序系统与神经网络 · 物理学 2025-06-25 I. Colecchio , E. Le Gall , B. Noetinger

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

An analytical approach is developed to obtain the exact expressions for the two-point resistance, and the total effective resistance of the complete graph minus $N$ edges of the opposite vertices. These expressions are written in terms of…

数学物理 · 物理学 2015-06-05 Noureddine Chair

In this article we explore how structural parameters of composites filled with one-dimensional, electrically conducting elements (such as sticks, needles, chains, or rods) affect the percolation properties of the system. To this end, we…

软凝聚态物质 · 物理学 2014-05-06 J. L. Mietta , R. M. Negri , P. I. Tamborenea

We have proposed an analytical model for the electrical conductivity in random, metallic, nanowire networks. We have mimicked such random nanowire networks as random resistor networks (RRN) produced by the homogeneous, isotropic, and random…

统计力学 · 物理学 2022-05-24 Yuri Yu. Tarasevich , Irina V. Vodolazskaya , Andrei V. Eserkepov

The resistance between arbitrary two nodes in a resistor network is obtained in terms of the eigenvalues and eigenfunctions of the Laplacian matrix associated with the network. Explicit formulas for two-point resistances are deduced for…

数学物理 · 物理学 2009-11-10 F. Y. Wu

The probability density of the resistance of a two dimensional rectangular network between two conducting plates is calculated. The nodes form an $M$ by $N$ lattice, and each edge has a random resistance. The Monte Carlo method is used.

经典物理 · 物理学 2008-03-31 Thomas Callaghan , Joseph B. Keller

We propose an interdependent random geometric graph (RGG) model for interdependent networks. Based on this model, we study the robustness of two interdependent spatially embedded networks where interdependence exists between geographically…

社会与信息网络 · 计算机科学 2018-06-08 Jianan Zhang , Edmund Yeh , Eytan Modiano

In reality, many real-world networks interact with and depend on other networks. We develop an analytical framework for studying interacting networks and present an exact percolation law for a network of $n$ interdependent networks (NON).…

数据分析、统计与概率 · 物理学 2012-08-24 Jianxi Gao , S. V. Buldyrev , S. Havlin , H. E. Stanley

Recently, in Refs. \cite{jsj} and \cite{res2}, calculation of effective resistances on distance-regular networks was investigated, where in the first paper, the calculation was based on stratification and Stieltjes function associated with…

数学物理 · 物理学 2009-11-13 M. A. Jafarizadeh , R. Sufiani , S. Jafarizadeh

We present analytic and numeric results for percolation in a network formed of interdependent spatially embedded networks. We show results for a treelike and a random regular network of networks each with $(i)$ unconstrained interdependent…

物理与社会 · 物理学 2015-06-18 Louis M. Shekhtman , Yehiel Berezin , Michael M. Danziger , Shlomo Havlin
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