Issue 42, 2021

Morphologies and dynamics of the interfaces between active and passive phases

Abstract

Active matters exhibit interesting collective behaviors and novel phases, which provide an important platform for the study of nonequilibrium physics. Mixtures of active and passive particles have been intensively studied in motility-induced phase separation, but the morphology of the active–passive interface has been poorly explored. In this work, we investigate the interface morphology in two-dimensional mixtures of active and passive particles using Brownian dynamics simulations. By systematically changing the Péclet number (Pe) and area fraction (ρ), we obtain the phase diagram of the active–passive interface, including rough sharp, rough invasive and flat interdiffusive interfaces. For a sharp interface, dynamic scaling analysis in the propagation stage shows that the roughness exponent α, the growth exponent β, the time exponent κ, and the dynamic exponent z satisfy z = α/(βκ). Such anomalous scaling indicates that the roughening behavior does not belong to the conventional universality classes with Family–Vicsek scaling for the growth of passive interfaces. On the other hand, the interface in the middle-wavelength regime during the morphology relaxation stage can be described by capillary wave theory. The mean interface position propagates with time as t1/2, which is robust at different ρ and Pe values in the propagation stage and exhibits superdiffusion in the morphology relaxation stage. These similarities and differences between the active–inactive interfaces and passive interfaces cast light on the interfacial growth of active matter.

Graphical abstract: Morphologies and dynamics of the interfaces between active and passive phases

Supplementary files

Article information

Article type
Paper
Submitted
20 Jul 2021
Accepted
23 Sep 2021
First published
24 Sep 2021

Soft Matter, 2021,17, 9607-9615

Morphologies and dynamics of the interfaces between active and passive phases

G. Xu, T. Huang, Y. Han and Y. Chen, Soft Matter, 2021, 17, 9607 DOI: 10.1039/D1SM01065D

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