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)
[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)
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Presenters
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Laura Alvarez Frances
ETH Zurich
Authors
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Laura Alvarez Frances
ETH Zurich
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Migue Angel Fernandez-Rodriguez
University of Granada
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Angel Alegria
Center of Material Physics (CFM)
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Silvia Arrese-Igor
Center of Material Physics (CFM)
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Kai Zhao
ETH Zurich
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Martin Kröger
ETH Zurich
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Lucio Isa
ETH Zurich