Programmable rheotaxis of magnetic rollers in time-varying fields

Magnetic microrobots capable of navigating complex fluid environments typically rely on real-time feedback to adjust external fields for propulsion and guidance. As an alternative, we explore the use of field-programmable rheotaxis, in which time-periodic magnetic fields drive directional migration of ferromagnetic particles in simple shear flows. Using a deterministic model that couples magnetic torques to hydrodynamic interactions near a surface, we show that the frequency, magnitude, and waveform of the applied field can encode diverse rheotactic behaviors-including downstream, upstream, and cross-stream migration relative to the flow. We analyze the mechanisms underlying these responses for canonical fields and use this understanding to design complex waveforms that optimize migration speed and direction. Our results reveal a tradeoff between performance and robustness: high-performance designs enable upstream motion but are sensitive to system parameters, whereas robust designs operate in the linear response regime with more modest performance gains. These findings establish a general strategy for programming flow-guided navigation in magnetic colloids and suggest routes toward self-guided microrobots that respond predictably to fluid environments without external feedback.

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Institutions

Publication Details

Journal
Soft Matter
Published
2025-01-01
DOI
https://doi.org/10.1039/d5sm00682a
Citations
1
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
1.26

Funders

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article

Programmable rheotaxis of magnetic rollers in time-varying fields

António Ramos, Yiyang Wu, Kyle J. M. Bishop, Guzhong Chen
1 citations
Soft Matter
Micro and Nano Robotics
1.26
article

Programmable rheotaxis of magnetic rollers in time-varying fields

António Ramos, Yiyang Wu, Kyle J. M. Bishop, Guzhong Chen
article en
1 citations

Abstract

Magnetic microrobots capable of navigating complex fluid environments typically rely on real-time feedback to adjust external fields for propulsion and guidance. As an alternative, we explore the use of field-programmable rheotaxis, in which time-periodic magnetic fields drive directional migration of ferromagnetic particles in simple shear flows. Using a deterministic model that couples magnetic torques to hydrodynamic interactions near a surface, we show that the frequency, magnitude, and waveform of the applied field can encode diverse rheotactic behaviors-including downstream, upstream, and cross-stream migration relative to the flow. We analyze the mechanisms underlying these responses for canonical fields and use this understanding to design complex waveforms that optimize migration speed and direction. Our results reveal a tradeoff between performance and robustness: high-performance designs enable upstream motion but are sensitive to system parameters, whereas robust designs operate in the linear response regime with more modest performance gains. These findings establish a general strategy for programming flow-guided navigation in magnetic colloids and suggest routes toward self-guided microrobots that respond predictably to fluid environments without external feedback.

Soft MatterVol. 21(37)
Columbia University (US), Barnard College (US)
National Science Foundation, Division of Chemical, Bioengineering, Environmental, and Transport Systems
Openalex Percentile: Top 18%
Micro and Nano Robotics
1.26
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Programmable rheotaxis of magnetic rollers in time-varying fields — António Ramos, Yiyang Wu, et al. · Soft Matter (2025) | TGRS Research Map | TGRS