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Related Experiment Video

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Reactive Inkjet Printing and Propulsion Analysis of Silk-based Self-propelled Micro-stirrers

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Published on: April 26, 2019

Pattern formation in chemically interacting active rotors with self-propulsion.

Benno Liebchen¹, Michael E Cates, Davide Marenduzzo

¹SUPA, School of Physics and Astronomy, University of Edinburgh, Edinburgh EH9 3FD, UK. Benno.Liebchen@staffmail.ed.ac.uk.

|August 16, 2016

Summary

This summary is machine-generated.

Active rotations in self-propelled particles, like bacteria, can control pattern formation. Faster rotations lead to synchronized waves, while slower rotations cause clustering and phase separation.

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Area of Science:

Physics
Soft Matter Physics
Biophysics

Background:

Chemically-signalling active particles, such as bacteria, exhibit complex behaviors near surfaces.
Autochemotaxis and active rotations are key paradigms influencing collective dynamics in active matter.

Purpose of the Study:

To investigate the role of active rotations in pattern formation of chemically signalling particles.
To elucidate the physics governing the interplay between chemotaxis and active rotations.
To explore the potential of active rotations for controlling self-assembly in active matter.

Main Methods:

Theoretical modeling of active particles near walls.
Analysis of pattern formation mechanisms driven by nonlinear instabilities.
Simulation of particle dynamics under varying rotation speeds and chemotactic responses.

Main Results:

Slow rotations lead to transient uniformity followed by cluster formation due to chemotaxis-locked propulsion.
Clusters coarsen, resulting in phase separation into dense and dilute regions.
Faster rotations inhibit phase separation, inducing global traveling waves with synchronized motion.

Conclusions:

Active rotations provide a mechanism for pattern formation in active matter.
The competition between chemotaxis and active rotations dictates emergent behaviors like clustering or wave propagation.
Active rotations offer a tunable parameter for designing and controlling self-assembly processes in active matter systems.