Closed-Loop Control of Active Nematic Flows

Stabilizing and shaping autonomous flows of active fluids is a fundamental challenge and a prerequisite for applications. We embed a light-responsive microtubule-based nematic in a proportional-integral control loop that adjusts the applied light intensity in response to real-time measurements of the spatially averaged flow speed. The self-regulating hardware-software-wetware system maintains a target flow speed against external or internal perturbations, including protein aging and aggregation, sample-to-sample variability, and temperature variation. Varying the controller’s gains reveals antagonistic roles between feedback and intrinsic processes, leading to nontrivial dynamics observed in fluctuation spectra. In particular, oscillations emerge from the interplay between the controller, motor binding kinetics, and active hydrodynamic relaxation. Accounting for the underlying binding timescale, our coarse-grained model and nematohydrodynamics simulations corroborate these observations. This work provides insight into the coupled dynamics of controlled active matter, laying the foundation for spatiotemporal patterning of active stress to generate and stabilize new dynamical configurations.

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Publication Details

Journal
Physical Review X
Published
2025-10-09
DOI
https://doi.org/10.1103/4hrx-6rdq
Citations
4
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
5.03

Funders

Controls
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article

Closed-Loop Control of Active Nematic Flows

Karl J. Friston
4 citations
Physical Review X
Micro and Nano Robotics
5.03
article

Closed-Loop Control of Active Nematic Flows

Karl J. Friston
article en
4 citations

Abstract

Stabilizing and shaping autonomous flows of active fluids is a fundamental challenge and a prerequisite for applications. We embed a light-responsive microtubule-based nematic in a proportional-integral control loop that adjusts the applied light intensity in response to real-time measurements of the spatially averaged flow speed. The self-regulating hardware-software-wetware system maintains a target flow speed against external or internal perturbations, including protein aging and aggregation, sample-to-sample variability, and temperature variation. Varying the controller’s gains reveals antagonistic roles between feedback and intrinsic processes, leading to nontrivial dynamics observed in fluctuation spectra. In particular, oscillations emerge from the interplay between the controller, motor binding kinetics, and active hydrodynamic relaxation. Accounting for the underlying binding timescale, our coarse-grained model and nematohydrodynamics simulations corroborate these observations. This work provides insight into the coupled dynamics of controlled active matter, laying the foundation for spatiotemporal patterning of active stress to generate and stabilize new dynamical configurations.

Physical Review XVol. 15(4)
University of California System (US), Brandeis University (US)
National Science Foundation, U.S. Department of Energy, Brandeis University, Office of Science, Materials Research Science and Engineering Center, Harvard University, Division of Materials Research, Basic Energy Sciences
Openalex Percentile: Top 4%
Micro and Nano Robotics
5.03
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