Systematic parameterizations of minimal models of microswimming

Abstract

Minimal models are used frequently when building up intuition for microswimmers and their behaviors. In this paper, we highlight how the commonplace omission of rapid variation in the parameters used in these models can lead to qualitatively incorrect predictions, even in the simplest and most common models of swimmers near boundaries. Further, we show how appropriate, effective parameterizations can be found through an often-straightforward multiscale analysis.

Topics & Concepts