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  Quenching, aging, and reviving in coupled dynamical networks

Zou, W., Senthilkumar, D. V., Zhan, M., Kurths, J. (2021): Quenching, aging, and reviving in coupled dynamical networks. - Physics Reports, 931, 1-72.
https://doi.org/10.1016/j.physrep.2021.07.004

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 Creators:
Zou, Wei1, Author
Senthilkumar, D. V.1, Author
Zhan, Meng1, Author
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Rhythmic behavior represents one of the most striking and ubiquitous manifestations of functional evolution for a wide class of natural and man-made systems. The emergence of diverse (ar)rhythmic dynamics can be well understood by models of coupled dynamical networks, where the interplay between the intrinsic dynamics of a single unit and the coupling functions plays a critical role in shaping a vast repertoire of collective behaviors. Under certain circumstances, all the individual dynamical systems may cease their oscillations totally when coupled, which results in the emergence of oscillation quenching in coupled oscillatory systems. Macroscopic oscillations of coupled dynamical networks can also be gradually weakened and even completely quenched via aging transition. Oscillation reviving, an inverse process of quenching and aging, refers to the restoration of rhythmic activity of coupled dynamical networks from the phenomena of quenching and aging. The study on quenching, aging, and reviving of rhythmic behaviors in coupled dynamical networks has developed into an active and rapidly evolving area of research with a wide variety of applications, where tremendous progresses with vital insights have been witnessed in the last decade. In this review, we endeavour to provide an exhaustive overview on the most important aspects of quenching, aging, and reviving in coupled dynamical networks ranging from theories to experiments and applications. The prevailing knowledge is integrated and pulled together to make the relevant results and methods more generally accessible for researchers in distinct communities of science and technology. Relevant open issues and challenges that deserve of special attentions are highlighted for future study. The present review should stimulate deeper investigations on the collapse and revival of macroscopic rhythmic behaviors, which will enlighten our understanding on evading irreversible failures of coupled dynamical networks and even guide us to identify the precursors of critical transitions. Our work will foster further studies on the physical principles of collective rhythms that robustly emerge in nature and real life.

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 Dates: 2021-10
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.physrep.2021.07.004
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
Model / method: Nonlinear Data Analysis
 Degree: -

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Title: Physics Reports
Source Genre: Journal, SCI, Scopus
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Pages: - Volume / Issue: 931 Sequence Number: - Start / End Page: 1 - 72 Identifier: Publisher: Elsevier
CoNE: https://publications.pik-potsdam.de/cone/journals/resource/physics-reports