Microswimmer Navigation in Turbulence

Mousavi, Navid
2024-04-26T09:47:19Z
2024-04-26T09:47:19Z
2024-04-26
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.sv
2024-05-27
Måndagen den 27 maj 2024, kl. 10.00, PJ-Salen, Fysik Origo, Fysikgården 2A, Göteborg.sv
Department of Physics ; Institutionen för fysiksv
MNF
navid.mousavi@physics.gu.sesv
University of Gothenburg. Faculty of Science.sv
978-91-8069-751-1(PRINT)
978-91-8069-751-4 (PDF)
https://hdl.handle.net/2077/80594
engsv
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/2309.09641sv
N. MOUSAVI, J. QIU, B. MEHLIG, L. ZHAO, K. GUSTAVSSON. Short term vs. long term: optimization of microswimmer navigation on different time horizons Preprint.sv
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.7.014311sv
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.2021.978sv
microswimmersv
turbulent flowsv
optimla navigationsv
reinforcement learningsv
Microswimmer Navigation in Turbulencesv
Text
Doctor of Philosophysv
Doctoral thesiseng

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