Microswimmer Navigation in Turbulence
Abstract
This thesis provides a summary of our exploration of navigation strategies for microswimmers with limited control and local sensing capabilities, drawing inspiration from copepods. Our research concentrates on two critical biologically inspired tasks essential for the survival of planktonic swimmers. First, we delve into the optimal vertical navigation for these swimmers. Many planktonic swimmers perform daily and seasonal vertical migrations quite efficiently in the turbulent pelagic environment. Given their abilities to navigate, we uncover active reorientation strategies that enable such microswimmers to double their vertical migration compared to
those relying only on passive strategies such as gravitaxis. Moreover, we demonstrate the potential for these swimmers to translate even faster than their propulsion speed by leveraging the background flow. Second, we investigate optimal navigation
strategies to avoid high strain rates in turbulent flows. This is important since the most crucial source of information for these species to survive is the flow disturbances. Here, we uncover intriguing phenomena such as emergent counter-current swimming behavior, which allows the swimmers to persist in low-strain regions of complex turbulent flow fields for extended periods.
Our findings contribute to a deeper understanding of planktonic microswimmers; organisms that play vital roles in sustaining life on Earth by regulating climate, participating in the carbon cycle, influencing oceanic albedo, and serving as the foundation of aquatic food webs. Moreover, they have implications for developing optimal autonomous navigation policies for biologically inspired micro and nanorobots, with applications such as directed drug delivery.
Given the interdisciplinary relevance of our results, the thesis includes a comprehensive introduction providing the necessary background knowledge for a deeper understanding of the appended papers.
Parts of work
N. MOUSAVI, J. QIU, B. MEHLIG, L. ZHAO, K. GUSTAVSSON. Efficient survival strategy
for zooplankton in turbulence. Accepted for publication in Physical Review Research. https://arxiv.org/pdf/2309.09641 N. MOUSAVI, J. QIU, B. MEHLIG, L. ZHAO, K. GUSTAVSSON. Short term vs. long term:
optimization of microswimmer navigation on different time horizons Preprint. Qiu, J., Mousavi, N., Zhao, L., & Gustavsson, K. (2022). Active gyrotactic stability of microswimmers using hydromechanical signals. Physical Review Fluids, 7(1), 014311. https://doi.org/10.1103/PhysRevFluids.7.014311 Qiu, J., Mousavi, N., Gustavsson, K., Xu, C., Mehlig, B., & Zhao, L. (2022). Navigation of micro-swimmers in steady flow: The importance of symmetries. Journal of Fluid Mechanics, 932, A10. https://doi.org/10.1017/jfm.2021.978
Degree
Doctor of Philosophy
University
University of Gothenburg. Faculty of Science.
Institution
Department of Physics ; Institutionen för fysik
Disputation
Måndagen den 27 maj 2024, kl. 10.00, PJ-Salen, Fysik Origo, Fysikgården 2A, Göteborg.
Date of defence
2024-05-27
navid.mousavi@physics.gu.se
Date
2024-04-26Author
Mousavi, Navid
Keywords
microswimmer
turbulent flow
optimla navigation
reinforcement learning
Publication type
Doctoral thesis
ISBN
978-91-8069-751-1(PRINT)
978-91-8069-751-4 (PDF)
Language
eng