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Spatiotemporal control of structure and dynamics in a polar active fluid.
Ghosh, Saptorshi; Joshi, Chaitanya; Baskaran, Aparna; Hagan, Michael F.
Affiliation
  • Ghosh S; Martin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA. aparna@brandeis.edu.
  • Joshi C; Department of Physics and Astronomy, Tufts University, Medford, Massachusetts 02155, USA.
  • Baskaran A; Martin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA. aparna@brandeis.edu.
  • Hagan MF; Martin Fisher School of Physics, Brandeis University, Waltham, Massachusetts 02453, USA. aparna@brandeis.edu.
Soft Matter ; 20(35): 7059-7071, 2024 Sep 11.
Article de En | MEDLINE | ID: mdl-39188251
ABSTRACT
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.

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Soft Matter / Soft matter (Online) Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Soft Matter / Soft matter (Online) Année: 2024 Type de document: Article Pays d'affiliation: États-Unis d'Amérique Pays de publication: Royaume-Uni