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Spatiotemporal control of structure and dynamics in a polar active fluid

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arxiv 2405.07942 v2 pith:GVKIFJGF submitted 2024-05-13 cond-mat.soft

classification cond-mat.soft
keywords controlactivepolarastersdynamicsfluidfluidsidentify
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We apply optimal control theory to a model of a polar active fluid (the Toner-Tu model), with the objective of driving the system into particular emergent dynamical behaviors or programming switching between states on demand. We use the effective self-propulsion speed as the control parameter (i.e. the means of external actuation). We identify control protocols that achieve outcomes such as relocating asters to targeted positions, forcing propagating solitary waves to reorient to a particular direction, and switching between stationary asters and propagating fronts. We analyze the solutions to identify generic principles for controlling polar active fluids. Our findings have implications for achieving spatiotemporal control of active polar systems in experiments, particularly in vitro cytoskeletal systems. Additionally, this research paves the way for leveraging optimal control methods to engineer the structure and dynamics of active fluids more broadly.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Tailoring interactions between active nematic defects with reinforcement learning

    cond-mat.soft 2024-11 conditional novelty 6.0 of 10

    A reinforcement learning agent uses local activity fields to steer active nematic defects along designer trajectories such as overdamped springs, with only coarse, low-dimensional feedback.

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