Harnessing random low Reynolds number flow for net migration

Research output: Contribution to journalArticlepeer-review

Abstract

Random noise in low Reynolds number flow has rarely been used to obtain net migration of microscale objects. In this study, we numerically show that net migration of a microscale object can be extracted from random directional fluid forces in Stokes flow, by introducing deformability and inhomogeneous density into the object. We also developed a mathematical framework to describe the deformation-induced migration caused by noise. These results provide a basis for understanding the noise-induced migration of a microswimmer and are useful for harnessing energy from low Reynolds number flow.

Original languageEnglish
Article number063101
JournalPhysical Review E
Volume101
Issue number6
DOIs
Publication statusPublished - 2020 Jun 1

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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