Interface growth driven by a single active particle

TL;DR

This paper investigates how a single active particle influences pattern formation, fluctuations, and scaling on interfaces, revealing novel superdiffusive behavior, interface roughness scaling, and distinct dynamics between pushers and pullers.

Contribution

It introduces a simple model for active particles on interfaces, demonstrating unique scaling laws and behaviors not captured by traditional models.

Findings

Active particles cause superdiffusive motion on interfaces.

Interface roughness follows specific scaling exponents.

Pushers and pullers exhibit different dynamic behaviors.

Abstract

We study pattern formation, fluctuations and scaling induced by a growth-promoting active walker on an otherwise static interface. Active particles on an interface define a simple model for energy consuming proteins embedded in the plasma membrane, responsible for membrane deformation and cell movement. In our model, the active particle overturns local valleys of the interface into hills, simulating growth, while itself sliding and seeking new valleys. In 1D, this overturn-slide-search dynamics of the active particle causes it to move superdiffusively in the transverse direction while pulling the immobile interface upwards. Using Monte Carlo simulations, we find an emerging tent-like mean profile developing with time, despite large fluctuations. The roughness of the interface follows scaling with the growth, dynamic and roughness exponents, derived using simple arguments as $\beta=2/3, z=3/2, \alpha=1/2$ respectively, implying a breakdown of the usual scaling law $\beta = \alpha/z$, owing to very local growth of the interface. The transverse displacement of the puller on the interface scales as $\sim t^{2/3}$ and the probability distribution of its displacement is bimodal, with an unusual linear cusp at the origin. Both the mean interface pattern and probability distribution display scaling. A puller on a static 2D interface also displays aspects of scaling in the mean profile and probability distribution. We also show that a pusher on a fluctuating interface moves subdiffusively leading to a separation of time scale in pusher motion and interface response.