Deutsch
 
Datenschutzhinweis Impressum
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Trapping aligning self-propelled particles into static clusters

Urheber*innen

Zheng,  Xinwei
External Organizations;

Li,  Yongge
External Organizations;

/persons/resource/Juergen.Kurths

Kurths,  Jürgen
Potsdam Institute for Climate Impact Research;

Xu,  Yong
External Organizations;

Externe Ressourcen
Es sind keine externen Ressourcen hinterlegt
Volltexte (beschränkter Zugriff)
Für Ihren IP-Bereich sind aktuell keine Volltexte freigegeben.
Volltexte (frei zugänglich)
Es sind keine frei zugänglichen Volltexte in PuRe verfügbar
Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Zheng, X., Li, Y., Kurths, J., Xu, Y. (2025): Trapping aligning self-propelled particles into static clusters. - Physical Review E, 112, 5, 055421.
https://doi.org/10.1103/jj28-8wpw


Zitierlink: https://publications.pik-potsdam.de/pubman/item/item_33881
Zusammenfassung
The far-from-equilibrium nature of active particles forms clusters with excessive dynamics, which can be suppressed by external physical fields in various applications. These application scenarios often require clusters with specific scales and numbers. To discover how to regulate these properties, we investigate the characteristics of clusters formed by aligning self-propelled particles in a Gaussian potential. This potential traps particles into static clusters (SCs) around the equivalent potential trough. During the process of formation, we use the order parameters defined on the connection graph to distinguish both the stability of these clusters and the number of static ones. We find that both increasing self-propulsion velocity and local density of the active particles lead to their partial or complete escape. This finding inspires a regulation strategy of both the scale and number of SCs by adjusting the potential parameters. The resulting SCs are endowed with diverse spanning scales, from giant clusters to wreath-like slender structures. Our results open new perspectives on controlling motility-induced phase separation and multitask manipulation for active particle systems.