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  Heterogeneous Nucleation in Finite-Size Adaptive Dynamical Networks

Fialkowski, J., Yanchuk, S., Sokolov, I. M., Schöll, E., Gottwald, G. A., Berner, R. (2023): Heterogeneous Nucleation in Finite-Size Adaptive Dynamical Networks. - Physical Review Letters, 130, 6, 067402.
https://doi.org/10.1103/PhysRevLett.130.067402

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 Creators:
Fialkowski, Jan1, Author
Yanchuk, Serhiy2, Author              
Sokolov, Igor M.1, Author
Schöll, Eckehard2, Author              
Gottwald, Georg A.1, Author
Berner, Rico1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, Potsdam, ou_persistent13              

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 Abstract: Phase transitions in equilibrium and nonequilibrium systems play a major role in the natural sciences. In dynamical networks, phase transitions organize qualitative changes in the collective behavior of coupled dynamical units. Adaptive dynamical networks feature a connectivity structure that changes over time, coevolving with the nodes’ dynamical state. In this Letter, we show the emergence of two distinct first-order nonequilibrium phase transitions in a finite-size adaptive network of heterogeneous phase oscillators. Depending on the nature of defects in the internal frequency distribution, we observe either an abrupt single-step transition to full synchronization or a more gradual multistep transition. This observation has a striking resemblance to heterogeneous nucleation. We develop a mean-field approach to study the interplay between adaptivity and nodal heterogeneity and describe the dynamics of multicluster states and their role in determining the character of the phase transition. Our work provides a theoretical framework for studying the interplay between adaptivity and nodal heterogeneity.

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Language(s): eng - English
 Dates: 2023-02-102023-02-10
 Publication Status: Finally published
 Pages: 7
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevLett.130.067402
MDB-ID: No data to archive
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Research topic keyword: Adaptation
Research topic keyword: Complex Networks
Research topic keyword: Nonlinear Dynamics
 Degree: -

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Title: Physical Review Letters
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 130 (6) Sequence Number: 067402 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals391
Publisher: American Physical Society (APS)