TU Darmstadt / ULB / TUprints

Hydrodynamics can determine the optimal route for microswimmer navigation

Daddi-Moussa-Ider, Abdallah ; Löwen, Hartmut ; Liebchen, Benno (2024)
Hydrodynamics can determine the optimal route for microswimmer navigation.
In: Communications Physics, 2021, 4 (1)
doi: 10.26083/tuprints-00023592
Article, Secondary publication, Publisher's Version

[img] Text
s42005-021-00522-6.pdf
Copyright Information: CC BY 4.0 International - Creative Commons, Attribution.

Download (1MB)
Item Type: Article
Type of entry: Secondary publication
Title: Hydrodynamics can determine the optimal route for microswimmer navigation
Language: English
Date: 30 September 2024
Place of Publication: Darmstadt
Year of primary publication: 2 February 2021
Place of primary publication: London
Publisher: Springer Nature
Journal or Publication Title: Communications Physics
Volume of the journal: 4
Issue Number: 1
Collation: 11 Seiten
DOI: 10.26083/tuprints-00023592
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

As compared to the well explored problem of how to steer a macroscopic agent, like an airplane or a moon lander, to optimally reach a target, optimal navigation strategies for microswimmers experiencing hydrodynamic interactions with walls and obstacles are far-less understood. Here, we systematically explore this problem and show that the characteristic microswimmer-flow-field crucially influences the navigation strategy required to reach a target in the fastest way. The resulting optimal trajectories can have remarkable and non-intuitive shapes, which qualitatively differ from those of dry active particles or motile macroagents. Our results provide insights into the role of hydrodynamics and fluctuations on optimal navigation at the microscale, and suggest that microorganisms might have survival advantages when strategically controlling their distance to remote walls.

Uncontrolled Keywords: Biological physics, Statistical physics
Identification Number: Artikel-ID: 15
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-235925
Classification DDC: 500 Science and mathematics > 530 Physics
Divisions: 05 Department of Physics > Institute for Condensed Matter Physics > Theory of Soft Matter
Date Deposited: 30 Sep 2024 08:14
Last Modified: 04 Nov 2024 09:26
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23592
PPN: 522864430
Export:
Actions (login required)
View Item View Item