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Reconfigurable Artificial Microswimmers with Internal Feedback

ORAL

Abstract

Micron-size self-propelling particles are often proposed as synthetic models for biological microswimmers [1], yet they lack internal adaptation, which is central to the autonomy of their biological counterparts. Conversely, adaptation and autonomy can be encoded in larger-scale robotic devices [3], but transferring these capabilities to the colloidal scale remains elusive. Here, we create a new class of responsive microswimmers, powered by induced-charge electrophoresis, which can adapt their motility to external stimuli via internal feedback. We fabricate deterministic colloidal clusters comprising soft thermoresponsive microparticles, which upon spontaneous reconfiguration, induce motility changes, as the adaptation of the clusters’ propulsion velocity and reversal of its direction [5]. We rationalize the response in terms of coupling between self-propulsion and variations of particle shape and dielectric properties. Harnessing those allows for strategies to achieve local dynamical control with simple illumination patterns, with exciting opportunities for the development of new tactic active materials.

[1] C. Bechinger et al. Rev. Mod. Phys., 88, 045006 (2016).
[3] S. Palagi, & P. Fischer, Nat. Rev. Mater., 3, 113 (2018).
[5] L. Alvarez, et. al, Submitted (2020)

Presenters

  • Laura Alvarez Frances

    ETH Zurich

Authors

  • Laura Alvarez Frances

    ETH Zurich

  • Migue Angel Fernandez-Rodriguez

    University of Granada

  • Angel Alegria

    Center of Material Physics (CFM)

  • Silvia Arrese-Igor

    Center of Material Physics (CFM)

  • Kai Zhao

    ETH Zurich

  • Martin Kröger

    ETH Zurich

  • Lucio Isa

    ETH Zurich