Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session G18: Machine Learning for Materials Science II
11:30 AM–2:30 PM,
Tuesday, March 5, 2024
Room: M100I
Sponsoring
Unit:
GDS
Chair: Antonia Statt, University of Illinois at Urbana-Champaign
Abstract: G18.00002 : Exploiting invariant manifolds for optimal control in active hydrodynamic systems*
12:06 PM–12:42 PM
Presenter:
Piyush Grover
(University of Nebraska - Lincoln)
Authors:
Piyush Grover
(University of Nebraska - Lincoln)
Michael Norton
(Brandeis University)
Caleb Wagner
(University of Nebraska - Lincoln)
Rumayel H Pallock
(University of Nebraska - Lincoln)
Jae Sung Park
(University of Nebraska-Lincoln)
We provide evidence that the ECS and their invariant manifolds also form an organizing template for the complicated spatiotemporal motion of active fluid turbulence. For active nematic channel flow, we obtain a reduced-order representation of the phase space in terms of a directed graph, in which ECS are nodes, and dynamical connections are edges. This representation uncovers nontrivial relationships in phase space, which can be exploited to induce desired transitions between disparate spatiotemporal states using minimal external control input. Examples include switching between the left and right flowing laminar states, or between a stationary state and an oscillatory vortex lattice. Our results lay the groundwork for a systematic means of understanding and controlling active fluids in the moderate- to high-activity regime.
*This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Award No. DE-SC0022280.
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