Soft Colloidal Robots: Magnetically Guided Liquid Crystal Torons for Targeted Micro-Cargo Delivery
Joel Torres, Rodrigo C. V. Coelho, Patrick Oswald, Francesc Sagés, Jordi Ignés-Mullol
TL;DR
This work shows that topologically protected torons in cholesteric liquid crystals can be induced, propelled, and magnetically steered within confined cells, enabling targeted microcargo transport in microfluidic environments without net LC flow. By combining amplitude-modulated AC electric fields with in-plane magnetic fields, torons act as programmable, cargo-carrying quasiparticles that move as solitonic waves whose speed and size respond to field strength and confinement. The study couples experiments with Frank-Oseen-based simulations to reveal how magnetic alignment reshapes toron structure, velocity, and stability, and demonstrates their use in funnel-like microfluidic geometries that reorganize swarms into orderly jets. Overall, torons offer a robust, uniform, soft-robotic platform for adaptive delivery and exploration of active topological matter, with significant implications for soft microrobotics and lab-on-chip technologies.
Abstract
Quasiparticles in liquid crystals, such as torons and skyrmions, represent a new class of topologically protected solitonic excitations, offering a promising route toward soft microrobotics. Here we demonstrate that torons can be propelled by modulated electric fields and magnetically steered with full directional control, thus achieving programmable trajectories without net liquid flow. Within microfluidic architectures, we guide ensembles of torons through confined channels and realize targeted pick-up, transport, and release of colloidal cargo. By combining experiments and numerical simulations, we uncover how magnetic alignment reshapes toron structure, speed, and stability, while confinement within microchannels gives rise to novel transport regimes. Unlike conventional colloidal inclusions, torons are intrinsically uniform, soft, and reconfigurable, establishing them as both an ideal model system for studying emergent phenomena in active topological matter and a versatile platform for next-generation soft robots, adaptive delivery systems, and smart active matter.
