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Optimal Control of Active Nematics.
Norton, Michael M; Grover, Piyush; Hagan, Michael F; Fraden, Seth.
Afiliação
  • Norton MM; Center for Neural Engineering, Department of Engineering Science and Materials, Pennsylvania State University, University Park, Pennsylvania 16801, USA and Physics Department, Brandeis University, Waltham, Massachusetts 02453, USA.
  • Grover P; Mechanical and Materials Engineering, University of Nebraska-Lincoln, Lincoln, Nebraska 68588, USA.
  • Hagan MF; Physics Department, Brandeis University, Waltham, Massachusetts 02453, USA.
  • Fraden S; Physics Department, Brandeis University, Waltham, Massachusetts 02453, USA.
Phys Rev Lett ; 125(17): 178005, 2020 Oct 23.
Article em En | MEDLINE | ID: mdl-33156653
In this work we present the first systematic framework to sculpt active nematic systems, using optimal control theory and a hydrodynamic model of active nematics. We demonstrate the use of two different control fields, (i) applied vorticity and (ii) activity strength, to shape the dynamics of an extensile active nematic that is confined to a disk. In the absence of control inputs, the system exhibits two attractors, clockwise and counterclockwise circulating states characterized by two co-rotating topological +1/2 defects. We specifically seek spatiotemporal inputs that switch the system from one attractor to the other; we also examine phase-shifting perturbations. We identify control inputs by optimizing a penalty functional with three contributions: total control effort, spatial gradients in the control, and deviations from the desired trajectory. This work demonstrates that optimal control theory can be used to calculate nontrivial inputs capable of restructuring active nematics in a manner that is economical, smooth, and rapid, and therefore will serve as a guide to experimental efforts to control active matter.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2020 Tipo de documento: Article