Overload wave-memory induces amnesia of a self-propelled particle

Maxime Hubert (), Stéphane Perrard (), Nicolas Vandewalle () and Matthieu Labousse ()
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Maxime Hubert: Interdisciplinary center for nanostructured films (IZNF), Friedrich-Alexander-Universität Erlangen-Nürnberg
Stéphane Perrard: ESPCI Paris et PSL Université
Nicolas Vandewalle: GRASP, UR CESAM, Université de Liège
Matthieu Labousse: ESPCI Paris et PSL Université

Nature Communications, 2022, vol. 13, issue 1, 1-9

Abstract: Abstract Information storage is a key element of autonomous, out-of-equilibrium dynamics, especially for biological and synthetic active matter. In synthetic active matter however, the implementation of internal memory in self-propelled systems is often absent, limiting our understanding of memory-driven dynamics. Recently, a system comprised of a droplet generating its guiding wavefield appeared as a prime candidate for such investigations. Indeed, the wavefield, propelling the droplet, encodes information about the droplet trajectory and the amount of information can be controlled by a single scalar experimental parameter. In this work, we show numerically and experimentally that the accumulation of information in the wavefield induces the loss of time correlations, where the dynamics can then be described by a memory-less process. We rationalize the resulting statistical behavior by defining an effective temperature for the particle dynamics where the wavefield acts as a thermostat of large dimensions, and by evidencing a minimization principle of the generated wavefield.

Date: 2022
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DOI: 10.1038/s41467-022-31736-z

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