English
 
Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
 
 
DownloadE-Mail
 Local TagsRelease HistoryDetailsSummary
  Synchronization route to weak chimera in four candle-flame oscillators

Manoj, K., Pawar, S. A., Dange, S., Mondal, S., Sujith, R. I., Surovyatkina, E., Kurths, J. (2019): Synchronization route to weak chimera in four candle-flame oscillators. - Physical Review E, 100, 6, 062204.
https://doi.org/10.1103/PhysRevE.100.062204

Item is

 

show all hide all

Basic

show hide
Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_23652 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_23652_3
Genre: Journal Article

Files

show Files
hide Files
:
8809.pdf (Publisher version), 2MB
 
File Permalink:
-
Name:
8809.pdf
Description:
-
Visibility:
Private
MIME-Type / Checksum:
application/pdf
Technical Metadata:
Copyright Date:
-
Copyright Info:
-
License:
-

Locators

show

Creators

show
hide
 Creators:
Manoj, K.1, Author
Pawar, S. A.1, Author
Dange, S.1, Author
Mondal, S.1, Author
Sujith, R. I.1, Author
Surovyatkina, Elena2, Author              
Kurths, Jürgen2, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

Content

show
hide
Free keywords: -
 Abstract: Synchronization and chimera are examples of collective behavior observed in an ensemble of coupled nonlinear oscillators. Recent studies have focused on their discovery in systems with least possible number of oscillators. Here we present an experimental study revealing the synchronization route to weak chimera via quenching, clustering, and chimera states in a single system of four coupled candle-flame oscillators. We further report the discovery of multiphase weak chimera along with experimental evidence of the theoretically predicted states of in-phase chimera and antiphase chimera.

Details

show
hide
Language(s):
 Dates: 2019
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevE.100.062204
PIKDOMAIN: RD4 - Complexity Science
eDoc: 8809
MDB-ID: No data to archive
Organisational keyword: RD4 - Complexity Science
Working Group: Network- and machine-learning-based prediction of extreme events
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: Physical Review E
Source Genre: Journal, SCI, Scopus, p3
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 100 (6) Sequence Number: 062204 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150218