Turbulent chimeras in large semiconductor laser array

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dc.contributor.authorShena, J.
dc.contributor.authorHizanidis, J.
dc.contributor.authorKovanis, V.
dc.contributor.authorTsironis, G.P.
dc.date.accessioned2020-06-26T11:03:23Z
dc.date.available2020-06-26T11:03:23Z
dc.date.issued2017-02
dc.description.abstractSemiconductor laser arrays have been investigated experimentally and theoretically from the viewpoint of temporal and spatial coherence for the past forty years. In this work, we are focusing on a rather novel complex collective behavior, namely chimera states, where synchronized clusters of emitters coexist with unsynchronized ones. For the first time, we find such states exist in large diode arrays based on quantum well gain media with nearest-neighbor interactions. The crucial parameters are the evanescent coupling strength and the relative optical frequency detuning between the emitters of the array. By employing a recently proposed figure of merit for classifying chimera states, we provide quantitative and qualitative evidence for the observed dynamics. The corresponding chimeras are identified as turbulent according to the irregular temporal behavior of the classification measure.en_US
dc.identifier.citationShena, J., Hizanidis, J., Kovanis, V., & Tsironis, G. P. (2017). Turbulent chimeras in large semiconductor laser arrays. Scientific Reports, 7(1). https://doi.org/10.1038/srep42116en_US
dc.identifier.issn2045-2322
dc.identifier.urihttps://www.nature.com/articles/srep42116
dc.identifier.urihttps://doi.org/10.1038/srep42116
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/4807
dc.language.isoenen_US
dc.publisherNature Researchen_US
dc.relation.ispartofseriesScientific Reports;
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectsemiconductor laser arraysen_US
dc.subjectturbulent chimerasen_US
dc.subjectResearch Subject Categories::TECHNOLOGYen_US
dc.titleTurbulent chimeras in large semiconductor laser arrayen_US
dc.typeArticleen_US
workflow.import.sourcescience

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