Dynamic Clustering and Scaling Behavior of Active Particles under Confinement

A systematic investigation of the dynamic clustering behavior of active particles under confinement, including the effects of both particle density and active driving force, is presented based on a hybrid coarse-grained molecular dynamics simulation. First, a series of scaling laws are derived with power relationships for the dynamic clustering time as a function of both particle density and active driving force. Notably, the average number of clusters N¯ assembled from active particles in the simulation system exhibits a scaling relationship with clustering time t described by N¯∝t-m. Simultaneously, the scaling behavior of the average cluster size S¯ is characterized by S¯∝tm. Our findings reveal the presence of up to four distinct dynamic regions concerning clustering over time, with transitions contingent upon the particle density within the system. Furthermore, as the active driving force increases, the aggregation behavior also accelerates, while an increase in density of active particles induces alterations in the dynamic procession of the system.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:14

Enthalten in:

Nanomaterials (Basel, Switzerland) - 14(2024), 2 vom: 09. Jan.

Sprache:

Englisch

Beteiligte Personen:

Becton, Matthew [VerfasserIn]
Hou, Jixin [VerfasserIn]
Zhao, Yiping [VerfasserIn]
Wang, Xianqiao [VerfasserIn]

Links:

Volltext

Themen:

Active particles
Aggregation
Confined environment
Journal Article
Simulation

Anmerkungen:

Date Revised 29.01.2024

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/nano14020144

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM367416085