Isotropic active colloids: explicit vs. implicit descriptions of propulsion mechanisms
Jeanne Decayeux, Jacques Fries, Vincent Dahirel, Marie Jardat, Pierre, Illien

TL;DR
This study compares explicit and implicit modeling approaches for isotropic active colloids driven by solute interactions, revealing that implicit models may fail to capture collective effects observed in explicit simulations.
Contribution
It introduces a detailed explicit model of active colloids based on solute interactions and compares it with an implicit model derived from the explicit one.
Findings
Effective diffusion decreases with density in explicit models.
Implicit models do not capture the density-dependent diffusion reduction.
Classical models may fail to describe collective dynamics in such systems.
Abstract
Modeling the couplings between active particles often neglects the possible many-body effects that control the propulsion mechanism. Accounting for such effects requires the explicit modeling of the molecular details at the origin of activity. Here, we take advantage of a recent two-dimensional model of isotropic active particles whose propulsion originates from the interactions between solute particles in the bath. The colloid catalyzes a chemical reaction in its vicinity, which results in a local phase separation of solute particles, and the density fluctuations of solute particles cause the enhanced diffusion of the colloid. In this paper, we investigate an assembly of such active particles, using (i) an explicit model, where the microscopic dynamics of the solute particles is accounted for; and (ii) an implicit model, whose parameters are inferred from the explicit model at infinite…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMicro and Nano Robotics · Material Dynamics and Properties · Stochastic processes and statistical mechanics
