Literature DB >> 26382466

Phase-lag synchronization in networks of coupled chemical oscillators.

Jan F Totz1, Razan Snari2, Desmond Yengi2, Mark R Tinsley2, Harald Engel1, Kenneth Showalter2.   

Abstract

Chemical oscillators with a broad frequency distribution are photochemically coupled in network topologies. Experiments and simulations show that the network synchronization occurs by phase-lag synchronization of clusters of oscillators with zero- or nearly zero-lag synchronization. Symmetry also plays a role in the synchronization, the extent of which is explored as a function of coupling strength, frequency distribution, and the highest frequency oscillator location. The phase-lag synchronization occurs through connected synchronized clusters, with the highest frequency node or nodes setting the frequency of the entire network. The synchronized clusters successively "fire," with a constant phase difference between them. For low heterogeneity and high coupling strength, the synchronized clusters are made up of one or more clusters of nodes with the same permutation symmetries. As heterogeneity is increased or coupling strength decreased, the phase-lag synchronization occurs partially through clusters of nodes sharing the same permutation symmetries. As heterogeneity is further increased or coupling strength decreased, partial synchronization and, finally, independent unsynchronized oscillations are observed. The relationships between these classes of behavior are explored with numerical simulations, which agree well with the experimentally observed behavior.

Mesh:

Year:  2015        PMID: 26382466     DOI: 10.1103/PhysRevE.92.022819

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Visual synchronization of two 3-variable Lotka-Volterra oscillators based on DNA strand displacement.

Authors:  Chengye Zou; Xiaopeng Wei; Qiang Zhang
Journal:  RSC Adv       Date:  2018-06-07       Impact factor: 4.036

2.  Globally fixed-time synchronization of coupled neutral-type neural network with mixed time-varying delays.

Authors:  Mingwen Zheng; Lixiang Li; Haipeng Peng; Jinghua Xiao; Yixian Yang; Yanping Zhang; Hui Zhao
Journal:  PLoS One       Date:  2018-01-25       Impact factor: 3.240

  2 in total

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