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Patterning of Microorganisms and Microparticles through Sequential Capillarity-assisted Assembly

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Published on: November 4, 2021

Different-shaped micro-objects driven by active particle aggregations.

Chen Wang¹, Hongyuan Jiang¹

¹CAS Key Laboratory of Mechanical Behavior and Design of Materials, Hefei National Laboratory for Physical Science at the Microscale, CAS Center for Excellence in Complex System Mechanics, Department of Modern Mechanics, University of Science and Technology of China, Hefei, Anhui 230026, China. jianghy@ustc.edu.cn.

|May 5, 2020

Summary

This summary is machine-generated.

Micro-object shape influences active particle aggregation and motion. Different aggregation patterns around passive objects lead to abnormal diffusion, including anisotropic enhanced diffusion and reverse coupled diffusion.

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Area of Science:

Soft matter physics
Statistical mechanics
Microhydrodynamics

Background:

Understanding passive micro-object dynamics in active baths is crucial.
The impact of micro-object shape on these interactions is not well understood.

Purpose of the Study:

To investigate how micro-object shapes influence active Brownian particle aggregation.
To explore the resulting effects on micro-object motion and diffusion.

Main Methods:

Utilizing 2D simulations of active Brownian particles interacting with various passive micro-object shapes.
Analyzing particle distribution, aggregation patterns, and micro-object trajectories.

Main Results:

Active particles accumulate around micro-objects, forming dynamic aggregations at high activity and density.
Micro-object shape dictates aggregation distribution, influencing micro-object motion and inducing abnormal diffusion.
Anisotropic enhanced diffusion in rods and reverse translation-rotation coupled diffusion in chevrons were observed.

Conclusions:

Micro-object shape is a key factor governing active matter-passive object interactions.
Complex emergent behaviors, such as anisotropic diffusion, arise from these shape-dependent interactions.
Simulations provide insights into the design principles for controlling micro-object dynamics in active environments.