Optimizing active work: Dynamical phase transitions, collective motion, and jamming

Abstract : Active work measures how far the local self-forcing of active particles translates into real motion. Using Population Monte Carlo methods, we investigate large deviations in the active work for repulsive active Brownian disks. Minimizing the active work generically results in dynamical arrest; in contrast, despite the lack of aligning interactions, trajectories of high active work correspond to a collectively moving, aligned state. We use heuristic and analytic arguments to explain the origin of dynamical phase transitions separating the arrested, typical, and aligned regimes.
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https://hal.archives-ouvertes.fr/hal-02114987
Contributor : Julien Tailleur <>
Submitted on : Tuesday, April 30, 2019 - 9:11:30 AM
Last modification on : Monday, May 27, 2019 - 6:24:02 PM

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Takahiro Nemoto, Etienne Fodor, Michael E. Cates, Robert L. Jack, Julien Tailleur, et al.. Optimizing active work: Dynamical phase transitions, collective motion, and jamming. Physical Review E , American Physical Society (APS), 2019, 99 (2), ⟨10.1103/PhysRevE.99.022605⟩. ⟨hal-02114987⟩

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