IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v659y2025ics0378437124008549.html
   My bibliography  Save this article

Effect of particle concentration on the persistence of motion in active matter systems

Author

Listed:
  • Escobar, A.
  • Reyes-Aguilar, R.
  • Vidales-Hernández, C.G.
  • Carrillo-Estrada, J.L.
  • Donado, F.

Abstract

We studied the transition from persistent to diffusive motion when varying particle concentrations in two different 2D active and macroscopic systems. The first one comprises magnetic spherical steel particles under an alternating magnetic field, which turns them into self-propelled stochastic particles. The second system is composed of a set of Hexbug-nano™ robots. Each of those tiny robots has an internal motor that, in combination with its elongated and inclined shape and the flexibility of its legs, provides it with persistent motion. We discovered that both systems similarly behave when varying the particle concentration and the available area for motion. Our results show that particle motions exhibit persistence when the concentration of active particles is low. As the particle concentration increases, until a threshold, the interactions between them grow in number, forcing them to change their direction more frequently and, turning diffusive their behaviour. New emergent phenomena are observed when a high particle concentration regime is explored. The formation of aggregates is observed, and the free particles consequently move in open spaces with less particle concentration recovering their persistent motion. The collective synchronization of particle motion is observed in a range of particle concentrations.

Suggested Citation

  • Escobar, A. & Reyes-Aguilar, R. & Vidales-Hernández, C.G. & Carrillo-Estrada, J.L. & Donado, F., 2025. "Effect of particle concentration on the persistence of motion in active matter systems," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 659(C).
  • Handle: RePEc:eee:phsmap:v:659:y:2025:i:c:s0378437124008549
    DOI: 10.1016/j.physa.2024.130344
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437124008549
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2024.130344?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:659:y:2025:i:c:s0378437124008549. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.