Noise-driven aggregation of swimmers in the Kolmogorov flow
Author:Kyle Ferguson ’21
Faculty Mentor(s):Tom Solomon, Physics & Astronomy (Bucknell)
Kevin Mitchell, Physics (UC Merced)
Simon Berman, Physics (UC Merced)
Funding Source:National Science Foundation
We investigate theoretically the dynamics of ellipsoidal microswimmers in an externally imposed, laminar Kolmogorov flow. Through a phase-space analysis of the dynamics without noise, we find that swimmers favor either cross-stream or rotational drift, depending on their swimming speed and aspect ratio. When including noise, i.e. rotational diffusion, Langevin simulations of our model show a transition from swimmer aggregation in low-shear regions of the flow to aggregation in high-shear regions as the parameters are varied. We find that rotational diffusion tends to drive swimmers into certain parts of phase space. We characterize the dependence of this noise-driven phase-space aggregation on a swimmer’s speed, aspect ratio, and rotational diffusivity. The properties of the swimmer trajectories with noise explain the transition from high-shear to low-shear aggregation.
*Support from NSF Grants: DMR- 1806355 and CMMI-1825379.