Active matter clusters at interfaces

TL;DR

This paper models how active biological clusters behave when crossing interfaces between different environments, revealing phenomena like refraction, reflection, and complex trajectories influenced by speed and environmental heterogeneity.

Contribution

It introduces a mathematical model capturing the dynamics of active matter clusters at interfaces, predicting diverse behaviors based on speed and environmental differences.

Findings

Refraction and total internal reflection occur at moderate differences and low speeds.

High-speed clusters exhibit complex, unpredictable crossing behaviors.

Clusters can become trapped or follow circular paths in extreme conditions.

Abstract

Collective and directed motility or swarming is an emergent phenomenon displayed by many self-organized assemblies of active biological matter such as clusters of embryonic cells during tissue development, cancerous cells during tumor formation and metastasis, colonies of bacteria in a biofilm, or even flocks of birds and schools of fish at the macro-scale. Such clusters typically encounter very heterogeneous environments. What happens when a cluster encounters an interface between two different environments has implications for its function and fate. Here we study this problem by using a mathematical model of a cluster that treats it as a single cohesive unit that moves in two dimensions by exerting a force/torque per unit area whose magnitude depends on the nature of the local environment. We find that low speed (overdamped) clusters encountering an interface with a moderate difference in properties can lead to refraction or even total internal reflection of the cluster. For large speeds (underdamped), where inertia dominates, the clusters show more complex behaviors crossing the interface multiple times and deviating from the predictable refraction and reflection for the low velocity clusters. We then present an extreme limit of the model in the absense of rotational damping where clusters can become stuck spiraling along the interface or move in large circular trajectories after leaving the interface. Our results show a wide range of behaviors that occur when collectively moving active biological matter moves across interfaces and these insights can be used to control motion by patterning environments.