Bubble formation in active binary mixture model

TL;DR

This paper introduces an active binary mixture model demonstrating how activity asymmetry between solutes and solvents controls bubble formation during active phase separation, revealing new mechanisms and critical behaviors in nonequilibrium systems.

Contribution

The study develops a novel lattice-based active binary mixture model showing how activity asymmetry influences bubble formation and phase separation, supported by simulations and mean-field theory.

Findings

Moderate solvent activity enhances bubble formation.

High solvent activity suppresses bubble formation.

Critical exponents for phase transition estimated via finite-size scaling.

Abstract

Phase separation, the spontaneous segregation of density, is a ubiquitous phenomenon observed across diverse physical and biological systems. Within a crowd of motile elements, active phase separation emerges from the interplay of activity (i.e., self-propulsion) and density interactions. A striking feature of active phase separation is the persistent formation of dilute-phase bubbles within the dense phase, which has been explored in theoretical models. However, the fundamental parameters that systematically control bubble formation remain unclear in conventional self-propelled particle models. Here, we introduce an active binary mixture model in which solutes and solvents dynamically exchange positions on a lattice; both solutes and solvents are self-propelled particles, but solvents play a role analogous to empty space in typical dry active matter. Within this model, we find that spontaneous bubble formation of solvents can be tuned by activity asymmetry, which is the difference between the solute and solvent activities. Numerical simulations reveal that moderate solvent activity enhances bubble formation, while larger solvent activity, comparable to solute activity, suppresses it. By employing mean-field theory, which captures essential phase behaviors, we consider the mechanism for the enhancement of bubble formation induced by solvent activity. Beyond these findings, when solute and solvent activities are equal, we apply the finite-size scaling analysis to estimate the critical exponents for active phase separation under the suppression of bubbles. Our findings establish activity asymmetry as a key control parameter for active matter phase transitions, offering new insights into universality in nonequilibrium systems.