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We report our investigation of the sample to sample fluctuation in transport properties of phase coherent normal metal-superconductor hybrid systems. Extensive numerical simulations were carried out for quasi-one dimensional and two…

Mesoscale and Nanoscale Physics · Physics 2015-05-20 Yanxia Xing , Jian Wang

This report investigates the modular organisation of the Central region in the Drosophila connectome. We identify groups of neurones amongst which information circulates rapidly before spreading to the rest of the network using Infomap. We…

Neurons and Cognition · Quantitative Biology 2024-12-19 Peter Grindrod , Renaud Lambiotte , Rohit Sahasrabuddhe

In cellular vortical flows, namely arrays of counter-rotating vortices, short but flexible filaments can show simple random walks through their stretch-coil interactions with flow stagnation points. Here, we study the dynamics of semi-rigid…

Soft Condensed Matter · Physics 2021-08-18 Shi-Yuan Hu , Jun-Jun Chu , Michael J. Shelley , Jun Zhang

Superdiffusion is an anomalous transport behavior. Recently, a new mechanism, termed the ``nodal mechanism," has been proposed to induce superdiffusion in quantum models. However, existing realizations of the nodal mechanism have so far…

Mesoscale and Nanoscale Physics · Physics 2025-11-14 Shaofeng Huang , Yu-Peng Wang , Jie Ren , Chen Fang

In this study, we performed comprehensive morphological investigations of the spontaneous formations of effective network structures among elements in coupled logistic maps, specifically with a delayed connection change. Our proposed model…

Adaptation and Self-Organizing Systems · Physics 2020-12-02 Amika Ohara , Masashi Fujii , Akinori Awazu

Knowledge silos emerge when structural properties of organizational interaction networks limit the diffusion of information. These structural barriers are known to take many forms at different scales - hubs in otherwise sparse…

Physics and Society · Physics 2022-03-03 Laurent Hébert-Dufresne , Guillaume St-Onge , John Meluso , James Bagrow , Antoine Allard

Double network (DN) materials exhibit anomalous strength and toughness that far exceed the sum of their constituents. While widely exploited, the fundamental physical mechanisms underlying this synergy remain elusive. Here, we show that a…

Soft Condensed Matter · Physics 2026-05-13 Fucheng Tian , Feixue Lu , Katsuhiko Sato , Liangbin Li , Bin Li , Jian Ping Gong

Deep learning has made significant applications in the field of data science and natural science. Some studies have linked deep neural networks to dynamic systems, but the network structure is restricted to the residual network. It is known…

Machine Learning · Computer Science 2024-10-29 Yifei Duan , Li'ang Li , Guanghua Ji , Yongqiang Cai

Electronic conductivity in organic materials is well-established. Both semiconductive and metallic behavior is observed in (quasi) 0-, 1-, 2- and 3-dimensional carbon-based materials and is applied in a wide range of commercial devices.…

In this letter we study the conductance G through one-dimensional quantum wires with disorder configurations characterized by long-tailed distributions (Levy-type disorder). We calculate analytically the conductance distribution which…

Mesoscale and Nanoscale Physics · Physics 2011-01-19 Fernando Falceto , Victor A. Gopar

We reveal significant qualitative differences in the rigidity transition of three types of disordered network materials: randomly diluted spring networks, jammed sphere packings, and stress-relieved networks that are diluted using a…

Soft Condensed Matter · Physics 2015-04-13 Wouter G. Ellenbroek , Varda F. Hagh , Avishek Kumar , M. F. Thorpe , Martin van Hecke

Emergent hydrodynamics (EHD) bridges short-time unitarity with late-time thermodynamics, universal transport phenomena characterize the manner and speed of transport and thermalization. Typical non-integrable systems with few conserved…

Disordered Systems and Neural Networks · Physics 2025-10-23 Andrew Stasiuk , Garrett Heller , Lance Berkey , Bo Xing , Paola Cappellaro

Networks with long-range connections obeying a distance-dependent power law of sufficiently small exponent display superdiffusion, L\'evy flights and robustness properties very different from the scale-free networks. It has been proposed…

Adaptation and Self-Organizing Systems · Physics 2024-11-15 R. Vilela Mendes , Tanya Araújo

We study a continuous-time dynamical system of nodes diffusively coupled over a hierarchical network to examine the efficiency and performance tradeoffs that organizations, teams, and command and control units face while achieving…

Systems and Control · Electrical Eng. & Systems 2026-03-20 Lorenzo Zino , Mengbin Ye , Brian D. O. Anderson

We study the effect of strong heterogeneities on the fracture of disordered materials using a fiber bundle model. The bundle is composed of two subsets of fibers, i.e. a fraction 0<\alpha<1 of fibers is unbreakable, while the remaining…

Statistical Mechanics · Physics 2009-11-13 R. C. Hidalgo , K. Kovacs , I. Pagonabarraga , F. Kun

A steerable parametric loudspeaker array is known for its directivity and narrow beam width. However, it often suffers from the grating lobes due to periodic array distributions. Here we propose the array configuration of hyperuniform…

Audio and Speech Processing · Electrical Eng. & Systems 2023-04-14 Kun Tang , Yuqi Wang , Shaobo Wang , Da Gao , Haojie Li , Xindong Liang , Patrick Sebbah , Yibin Li , Jin Zhang , Junhui Shi

MXenes are a large family of two-dimensional transition metal carbides and nitrides that possess excellent electrical conductivity, high volumetric capacitance, great mechanical properties, and hydrophilicity. In this work, we generalize…

Mesoscale and Nanoscale Physics · Physics 2024-10-18 Yu Liu , Mohan Chen

The individual building blocks of van der Waals (vdW) heterostructures host fascinating physical phenomena, ranging from ballistic electron transport in graphene to striking optical properties of MoSe2 sheets. The presence of bonded and…

Disordered Systems and Neural Networks · Physics 2016-06-14 Nouamane Laanait , Zhan Zhang , Christian M. Schleputz , Ying Liu , Michael Wojcik , Rachael L. Myers-Ward , D. Kurt Gaskill , Paul Fenter , Lian Li

We present a realistic phenomenological description of liquid transport through defective, layered membranes. We derive general expressions based on conventional models of laminar flow and extend the formalism to accommodate slip flow. We…

Materials Science · Physics 2020-10-27 Alexander Quandt , Andrii Kyrylchuk , Gotthard Seifert , David Tománek

The retina is the only part of the human body in which blood vessels can be accessed non-invasively using imaging techniques such as digital fundus images (DFI). The spatial distribution of the retinal microvasculature may change with…