Life at low Reynolds number isn't such a drag
Sujit S. Datta
TL;DR
This paper explores how principles from chemical engineering can quantitatively describe microbial swimming at low Reynolds numbers, enhancing understanding of biological systems and inspiring engineering innovations.
Contribution
It applies scaling arguments and dimensional analysis to model microbial locomotion, bridging biology and engineering in a novel way.
Findings
Quantitative description of microbial swimming dynamics
Insights into biological systems at low Reynolds numbers
Potential for engineering applications inspired by biological principles
Abstract
The following is an unedited version of two short articles that are forthcoming in Nature Chemical Engineering. Inspired by Purcell's classic lecture "Life at low Reynolds number", I discuss how scaling arguments, dimensional analysis, and fundamental concepts from chemical engineering science can be used to quantitatively describe microbial swimming -- thereby helping to better understand biological systems and inspiring new engineering advances in turn.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows