Dresden 2017 – scientific programme

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CPP: Fachverband Chemische Physik und Polymerphysik

CPP 54: Active Matter II (joint session DY/BP/CPP, organized by DY)

CPP 54.4: Talk

Thursday, March 23, 2017, 10:30–10:45, HÜL 186

Statistical features of active turbulence — •Martin James and Michael Wilczek — Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany

Dense bacterial suspensions display rich dynamical features including turbulence-like behavior. Recent studies have shown that such turbulent dynamics of active fluids can be modeled by a generalized Navier-Stokes equation (Wensink et al., PNAS 2012). The statistical features of active turbulence, however, differ significantly from classical hydrodynamic turbulence (see, e.g., Bratanov et al., PNAS 2015). We further explore the statistical features of this active turbulence model both, numerically and analytically. In particular, we focus on scale-dependent statistics to characterize deviations from Gaussianity and the occurrence of extreme events. Moreover, we investigate the transport properties of active flow by using Lagrangian tracer techniques. Our results provide insight into mixing of microbial suspensions due to turbulent dynamics.