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We study transport of interacting electrons in a low-dimensional disordered system at low temperature $T$. In view of localization by disorder, the conductivity $\sigma(T)$ may only be non-zero due to electron-electron scattering. For weak…

无序系统与神经网络 · 物理学 2009-11-11 I. V. Gornyi , A. D. Mirlin , D. G. Polyakov

We study the steady state of a multiply-connected system that is driven out of equilibrium by a sparse perturbation. The prototype example is an $N$-site ring coupled to a thermal bath, driven by a stationary source that induces transitions…

统计力学 · 物理学 2015-05-30 Daniel Hurowitz , Saar Rahav , Doron Cohen

Across all scales of the physical world, dynamical systems can often be usefully represented as abstract networks that encode the system's units and inter-unit interactions. Understanding how physical rules shape the topological structure…

介观与纳米尺度物理 · 物理学 2023-11-28 Abigail N. Poteshman , Mathieu Ouellet , Lee C. Bassett , Danielle S. Bassett

The process of stochastic Turing instability on a network is discussed for a specific case study, the stochastic Brusselator model. The system is shown to spontaneously differentiate into activator-rich and activator-poor nodes, outside the…

统计力学 · 物理学 2015-06-04 Malbor Asslani , Francesca Di Patti , Duccio Fanelli

We investigate the interplay between disorder and superconducting pairing for a one-dimensional $p$-wave superconductor subject to slowly varying incommensurate potentials with mobility edges. With amplitude increments of the incommensurate…

量子气体 · 物理学 2017-12-12 Tong Liu , Hai-Yang Yan , Hao Guo

We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. Our method utilizes the Wasserstein distance to measure…

代数拓扑 · 数学 2024-04-18 Moo K. Chung , Shih-Gu Huang , Ian C. Carroll , Vince D. Calhoun , H. Hill Goldsmith

We study the affinities between the shape of the bright soliton of the one-dimensional nonlinear Schroedinger equation and that of the disorder induced localization in the presence of a Gaussian random potential. With emphasis on the…

光学 · 物理学 2014-02-26 Claudio Conti

Ultrafast disordering observed after photo-excitation challenges the conventional picture of photo-induced transitions where symmetry-breaking takes place along a single collective coordinate. We propose that key spectroscopic signatures of…

强关联电子 · 物理学 2025-07-31 Francesco Valiera , Antonio Picano , Martin Eckstein

We study the Anderson localization in nonlinear systems by taking a nonlinear transmission line realizing the Toda lattice. It is found that the randomness in inductance induces the Anderson localization in the voltage propagation.…

无序系统与神经网络 · 物理学 2021-09-14 Motohiko Ezawa

Anderson localization of wave-functions at zero energy in quasi-1D systems of $N$ disordered chains with inter-chain coupling $t$ is examined. Localization becomes weaker than for the 1D disordered chain ($t=0$) when $t$ is smaller than the…

无序系统与神经网络 · 物理学 2014-10-09 Dietmar Weinmann , S. N. Evangelou

The phenomenon of Anderson localization of waves in elastic systems is studied. We analyze this phenomenon in two different set of systems: disordered linear chains of harmonic oscillators and disordered rods which oscillate with torsional…

经典物理 · 物理学 2023-07-19 R. A. Mendez-Sanchez , L. Gutierrez , A. Morales , J. Flores , A. Diaz-de-Anda , G. Monsivais

Network tomography plays a crucial role in assessing the operational status of internal links within networks through end-to-end path-level measurements, independently of cooperation from the network infrastructure. However, the accuracy of…

网络与互联网体系结构 · 计算机科学 2024-12-17 Chengze Du , Zhiwei Yu , Xiangyu Wang

Optomechanical arrays are a promising future platform for studies of transport, many-body dynamics, quantum control and topological effects in systems of coupled photon and phonon modes. We introduce disordered optomechanical arrays,…

介观与纳米尺度物理 · 物理学 2017-09-15 Thales Figueiredo Roque , Vittorio Peano , Oleg M. Yevtushenko , Florian Marquardt

By employing Random Matrix Theory (RMT) and first-principle calculations, we investigated the behavior of Anderson localization in 1D, 2D and 3D systems characterized by a varying disorder. In particular, we considered random binary layer…

光学 · 物理学 2012-08-23 D. Molinari , A. Fratalocchi

In the context of network dynamics, the complexity of systems increases possible evolutionary paths that often are not deterministic. Occasionally, some map routs form over the course of time which guide systems towards some particular…

物理与社会 · 物理学 2017-01-02 L. Hedayatifar , F. Hassanibesheli , A. H. Shirazi , S. Vasheghani Farahani , G. R. Jafari

Time-varying connections are crucial in understanding the structures and dynamics of complex networks. In this paper, we propose a continuous-time switching topology model for temporal networks that is driven by bursty behavior and study…

物理与社会 · 物理学 2025-05-21 Ziyan Zeng , Minyu Feng , Matjaž Perc , Jürgen Kurths

We consider a first neighbor interaction where agents are spread through a uni-dimensional network. Some agents are also connected to a hub, or master node, who has preferential values (or orientation). The role of master node is to…

物理与社会 · 物理学 2020-07-15 Anderson A. Ferreira , Leandro A. Ferreira , Fernando F. Ferreira

We study complex networks of stochastic two-state units. Our aim is to model discrete stochastic excitable dynamics with a rest and an excited state. Both states are assumed to possess different waiting time distributions. The rest state is…

物理与社会 · 物理学 2016-12-02 Simon Christ , Bernard Sonnenschein , Lutz Schimansky-Geier

We investigate a celebrated problem of one dimensional tight binding model in the presence of disorder leading to Anderson localization from a novel perspective. A binary disorder is assumed to be created by immobile heavy particles for the…

量子气体 · 物理学 2015-08-11 Arkadiusz Kosior , Jan Major , Marcin Płodzień , Jakub Zakrzewski

Systems of dynamical interactions between competing species can be used to model many complex systems, and can be mathematically described by {\em random} networks. Understanding how patterns of activity arise in such systems is important…

适应与自组织系统 · 物理学 2016-01-21 Nick McCullen , Thomas Wagenknecht