Dispersion of activity at an active-passive nematic interface
Rodrigo C. V. Coelho, Nuno A. M. Ara\'ujo, Margarida M. Telo da Gama

TL;DR
This study investigates how active nematic interfaces influence nutrient mixing, revealing that particle shape affects dispersion, with an optimal shape enhancing activity spread, which may relate to bacterial evolution.
Contribution
The paper introduces a hydrodynamic model coupling active nematics with nutrient transport, highlighting the role of particle shape in optimizing activity dispersion at interfaces.
Findings
Interfacial activity dispersion is subdiffusive due to negative defect barriers.
Dispersion depends non-monotonically on the particle aligning parameter.
An optimal particle shape maximizes activity dispersion at the interface.
Abstract
Efficient nutrient mixing is crucial for the survival of bacterial colonies and other living systems. This raises the question of whether the optimization of mixing through the emergence of active turbulent motion in bacterial swarms played a role in the evolution of bacterial shapes. Here, to address this question, we solve the hydrodynamic equation for active nematics coupled with an advection-diffusion equation for the nutrients. The latter models a conserved activity field and mimics the conservation of nutrients in bacterial swarms. At the interface between active and passive nematic phases, in addition to diffusion, the activity is transported by interfacial flows and in turn modifies them through active stresses. We find that the interfacial dispersion of the conserved activity is subdiffusive due to the emergence of a barrier of negative defects at the active-passive interface,…
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 · Evolutionary Game Theory and Cooperation · Diffusion and Search Dynamics
