Optimal transport and control of active drops
Understanding the complex patterns in space–time exhibited by active systems has been the subject of much interest in recent times. Complementing this forward problem is the inverse problem of controlling active matter. Here, we use optimal control theory to pose the problem of transporting a slende...
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Published in | Proceedings of the National Academy of Sciences - PNAS Vol. 119; no. 35; pp. 1 - 6 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
National Academy of Sciences
30.08.2022
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Subjects | |
Online Access | Get full text |
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Summary: | Understanding the complex patterns in space–time exhibited by active systems has been the subject of much interest in recent times. Complementing this forward problem is the inverse problem of controlling active matter. Here, we use optimal control theory to pose the problem of transporting a slender drop of an active fluid and determine the dynamical profile of the active stresses to move it with minimal viscous dissipation. By parametrizing the position and size of the drop using a low-order description based on lubrication theory, we uncover a natural “gather–move–spread” strategy that leads to an optimal bound on the maximum achievable displacement of the drop relative to its size. In the continuum setting, the competition between passive surface tension and active controls generates richer behavior with futile oscillations and complex drop morphologies that trade internal dissipation against the transport cost to select optimal strategies. Our work combines active hydrodynamics and optimal control in a tractable and interpretable framework and begins to pave the way for the spatiotemporal manipulation of active matter. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 1S.S. and V.R. contributed equally to this work. Author contributions: L.M. conceived of research; V.R., S.S., and L.M. formulated and solved the ODE optimal control problem; S.S. and L.M. formulated and solved the PDE control problem; S.S., V.R., and L.M. analyzed data; and S.S., V.R., and L.M. wrote the paper. Edited by Daan Frenkel, University of Cambridge, Cambridge, United Kingdom; received December 7, 2021; accepted May 25, 2022 |
ISSN: | 0027-8424 1091-6490 1091-6490 |
DOI: | 10.1073/pnas.2121985119 |