2018
DOI: 10.1103/physrevfluids.3.061101
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Turbulence and turbulent pattern formation in a minimal model for active fluids

Abstract: Active matter systems display a fascinating range of dynamical states, including stationary patterns and turbulent phases. While the former can be tackled with methods from the field of pattern formation, the spatio-temporal disorder of the active turbulence phase calls for a statistical description. Borrowing techniques from turbulence theory, we here establish a quantitative description of correlation functions and spectra of a minimal continuum model for active turbulence. Further exploring the parameter sp… Show more

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Cited by 65 publications
(77 citation statements)
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“…It is seen that the two amplitude equations (22) correspond to two coupled Ginzburg-Landau equations [80]. This result was already obtained in [61], where the pattern formation in the reduced model equation , we introduce a small parameter ε quantifying the distance to the bifurcation. In the present case, we define ε via where we have used equation (19).…”
Section: Case Of Zero External Fieldsupporting
confidence: 66%
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“…It is seen that the two amplitude equations (22) correspond to two coupled Ginzburg-Landau equations [80]. This result was already obtained in [61], where the pattern formation in the reduced model equation , we introduce a small parameter ε quantifying the distance to the bifurcation. In the present case, we define ε via where we have used equation (19).…”
Section: Case Of Zero External Fieldsupporting
confidence: 66%
“…This stands in contrast to inertial turbulence observed in the Navier-Stokes equation where one finds a broad spectrum of vortex sizes [53]. For a more detailed discussion on the turbulent state without the influence of external fields, see [47,58,59,61] for the phenomenological model and [18,19] for the present model. Note that, compared to most of the listed publications, the coefficient λ 0 is rather large and, therefore, the shape of the vortices is highly irregular.…”
Section: Numerical Observationsmentioning
confidence: 70%
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