???ENUM_LANGUAGE_JA???
 
???mainMenu_lnkPrivacyPolicy??? ???mainMenu_lnkPolicy???

???ViewItemPage???

???ViewItemFull_lblItemActions??????List_lblExportOptions???
???ViewItemFull_lblAddToBasket???
 ???ViewItemFull_lblSubHeaderLocalTags??????ViewItemFull_btnItemVersions??????ViewItemFull_btnItemView??????ViewItemOverview_lblLinkOverviewPage???
  Identification of single- and double-well coherence–incoherence patterns by the binary distance matrix

dos Santos, V., Sales, M. R., Muni, S. S., Szezech, J. D., Batista, A. M., Yanchuk, S., Kurths, J. (2023): Identification of single- and double-well coherence–incoherence patterns by the binary distance matrix. - Communications in Nonlinear Science and Numerical Simulation, 125, 107390.
https://doi.org/10.1016/j.cnsns.2023.107390

Item is

 

???ViewItemFull_lblShowGroup??? ???ViewItemFull_lblAll??? ???ViewItemFull_lblHideGroup??? ???ViewItemFull_lblAll???

???ViewItemFull_lblBasic???

???ViewItemFull_lblShowGroup??? ???ViewItemFull_lblHideGroup???
???ViewItemFull_lblCiteItemAs???: https://publications.pik-potsdam.de/pubman/item/item_28948 ???ViewItemFull_lblCiteItemVersionAs???: https://publications.pik-potsdam.de/pubman/item/item_28948_2
???ViewItemFull_lblGenre???: ???ENUM_GENRE_ARTICLE???

???ViewItemFull_lblSubHeaderLocators???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblCreators???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
 ???ViewItemFull_lblCreators???:
dos Santos, Vagner1, ???ENUM_CREATORROLE_AUTHOR???
Sales, Matheus Rolim1, ???ENUM_CREATORROLE_AUTHOR???
Muni, Sishu Shankar1, ???ENUM_CREATORROLE_AUTHOR???
Szezech, José Danilo1, ???ENUM_CREATORROLE_AUTHOR???
Batista, Antonio Marcos1, ???ENUM_CREATORROLE_AUTHOR???
Yanchuk, Serhiy2, ???ENUM_CREATORROLE_AUTHOR???                 
Kurths, Jürgen2, ???ENUM_CREATORROLE_AUTHOR???           
???ViewItemFull_lblAffiliations???:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

???EditItem_lblContent???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblSubject???: ???lbl_noEntry???
 ???ViewItemFull_lblAbstract???: The study of chimera states or, more generally, coherence–incoherence patterns has led to the development of several tools for their identification and characterization. In this work, we extend the eigenvalue decomposition method to distinguish between single-well (SW) and double-well (DW) patterns. By applying our method, we are able to identify the following four types of dynamical patterns in a ring of nonlocally coupled Chua circuits and nonlocally coupled cubic maps: SW cluster, SW coherence–incoherence pattern, DW cluster, and DW coherence–incoherence. In a ring-star network of Chua circuits, we investigate the influence of adding a central node on the spatio-temporal patterns. Our results show that increasing the coupling with the central node favors the occurrence of SW coherence–incoherence states. We observe that the boundaries of the attraction basins resemble fractal and riddled structures.

???ViewItemFull_lblSubHeaderDetails???

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblLanguages???: eng - English
 ???ViewItemFull_lblDates???: 2023-07-072023-10
 ???ViewItemFull_lblPublicationStatus???: ???ViewItem_lblPublicationState_published-in-print???
 ???ViewItemFull_lblPages???: ???lbl_noEntry???
 ???ViewItemFull_lblPublishingInfo???: ???lbl_noEntry???
 ???ViewItemFull_lblTOC???: ???lbl_noEntry???
 ???ViewItemFull_lblRevisionMethod???: ???ENUM_REVIEWMETHOD_PEER???
 ???ViewItemFull_lblIdentifiers???: ???ENUM_IDENTIFIERTYPE_DOI???: 10.1016/j.cnsns.2023.107390
???ENUM_IDENTIFIERTYPE_MDB_ID???: No data to archive
???ENUM_IDENTIFIERTYPE_PIKDOMAIN???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_ORGANISATIONALK???: RD4 - Complexity Science
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Complex Networks
???ENUM_IDENTIFIERTYPE_RESEARCHTK???: Nonlinear Dynamics
???ENUM_IDENTIFIERTYPE_MODELMETHOD???: Open Source Software
???ENUM_IDENTIFIERTYPE_WORKINGGROUP???: Network- and machine-learning-based prediction of extreme events
 ???ViewItemFull_lblDegreeType???: ???lbl_noEntry???

???ViewItemFull_lblSubHeaderEvent???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblSubHeaderLegalCase???

???ViewItemFull_lblShowGroup???

???g_project_info???

???ViewItemFull_lblShowGroup???

???ViewItemFull_lblSubHeaderSource??? 1

???ViewItemFull_lblShowGroup???
???ViewItemFull_lblHideGroup???
???ViewItemFull_lblSourceTitle???: Communications in Nonlinear Science and Numerical Simulation
???ViewItemFull_lblSourceGenre???: ???ENUM_GENRE_JOURNAL???, SCI, Scopus, p3
 ???ViewItemFull_lblSourceCreators???:
???ViewItemFull_lblSourceAffiliations???:
???ViewItemFull_lblSourcePubInfo???: ???lbl_noEntry???
???ViewItemFull_lblPages???: ???lbl_noEntry??? ???ViewItemFull_lblSourceVolumeIssue???: 125 ???ViewItemFull_lblSourceSequenceNo???: 107390 ???ViewItemFull_lblSourceStartEndPage???: ???lbl_noEntry??? ???ViewItemFull_lblSourceIdentifier???: ???ENUM_IDENTIFIERTYPE_CONE???: https://publications.pik-potsdam.de/cone/journals/resource/201610061
???ENUM_IDENTIFIERTYPE_PUBLISHER???: Elsevier