Microswimmer Hydrodynamics Through the Lens of Jeffery’s Orbits
© The Physical Society of Japan
This article is on
Jeffery’s Orbits and Microswimmers in Flows: A Theoretical Review
J. Phys. Soc. Jpn.
92,
062001
(2023)
.
This review article summarizes the latest progress on Jeffery’s orbits and how they relate to the motion of microswimmers of various shapes, including sperms, bacteria, and even microrobots.
With the recent developments in fluid dynamics, it is now possible to analyse complex background flows such as those observed in marine turbulence, saturated soils, as well as in microfluidic devices.
Growing interest in microfluidic devices and microrobots, coupled with the ubiquitous presence of self-propelled biological microswimmers such as bacteria, algae, and planktons, calls for further understanding of microswimmer dynamics in a flow current.
A useful theoretical foundation on this front is provided by Jeffery’s equations. These are a simple set of ordinary differential equations that describe how the orientation of a spheroidal body evolves over time in a viscous fluid. The non-uniform periodic rotational motion of a body immersed in a simple shear flow traces a closed orbit, known as Jeffery’s orbit.
In a recently published review, researcher Kenta Ishimoto from Kyoto University, Japan has summarized the latest progress in our understanding of microswimmer hydrodynamics through the lens of Jeffery’s orbits.
The article provides a theoretical introduction on Jeffery’s equations for simple microswimmers and considers how the equations can be used to study microswimmers with more complex shapes. The review then details the concept of “hydrodynamic shapes,” and how it relates to symmetries in the governing equations.
While summation of flow fields helps in determining the background flow for individual swimmers, scaling up these interactions can help us understand their collective behavior.
Additionally, the review suggests a potential application of Jeffery’s equations in understanding the adaptive behaviors of smart swimmers in complex environments.
In summary, the concepts presented in this review provide a comprehensive theoretical foundation of Jeffery’s orbits and their relation to microswimmers in a variety of flows, and can help advance our understanding of fluid dynamics in active and artificial fluid systems.
Jeffery’s Orbits and Microswimmers in Flows: A Theoretical Review
J. Phys. Soc. Jpn.
92,
062001
(2023)
.
Share this topic
Fields
Related Articles
-
How Heart Cells Come to Beat Together through an Elastic Substrate
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-8-24
Two isolated cardiomyocytes (heart muscle cells) can synchronize through deformations of a soft substrate. A dynamical theory explains geometry-dependent phase-locking and synchronization time.
-
Rumors Spread Wider Despite Low Transmissibility
Cross-disciplinary physics and related areas of science and technology
2026-8-7
This study proposes an SIS competition model that integrates rumor spread and opinion changes. This analysis reveals novel mechanisms for conflicting rumor coexistence, thus demonstrating that rumors paradoxically survive through low transmissibility.
-
Giant Brute-Force Simulation to Reveal Nucleation and Growth of Ultrasonic Cavitation Bubbles
Electromagnetism, optics, acoustics, heat transfer, and classical and fluid mechanics
Statistical physics and thermodynamics
2026-7-27
This study reveals the early-stage dynamics of ultrasonic cavitation using a record 100-billion-atom simulation to capture bubble nucleation, growth, clustering, and periodic splitting under nonequilibrium conditions.
-
Topological Defects as Seeds of Phase Separation: Insights from a Minimal Lattice Model
Cross-disciplinary physics and related areas of science and technology
Statistical physics and thermodynamics
2026-7-13
A minimal lattice model revealed that topological defects with winding number +1 serve as nucleation sites for phase separation in active matter systems.
-
A Deep Dive Into AI-Driven Materials Science
Cross-disciplinary physics and related areas of science and technology
2026-7-6
This review from the Journal of the Physical Society of Japan examines how artificial intelligence overcomes traditional materials science bottlenecks, highlighting the shift from intuition-based discovery to data-driven innovation.
