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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...

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Related Experiment Video

Updated: Nov 20, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow

The Diffusion of Passive Tracers in Laminar Shear Flow

Published on: May 1, 2018

Diffusion of active particles in convective flows.

Pulak K Ghosh¹, Debajyoti Debnath¹, Yunyun Li²

¹Department of Chemistry, Presidency University, Kolkata 700073, India.

|January 20, 2021

Summary

This summary is machine-generated.

We studied how active Janus particles move in patterned fluid flows. Controlling particle movement is key for developing advanced microfluidic devices and understanding active matter transport.

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Last Updated: Nov 20, 2025

The Diffusion of Passive Tracers in Laminar Shear Flow

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Published on: May 1, 2018

Simultaneous Measurement of Turbulence and Particle Kinematics Using Flow Imaging Techniques

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Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions

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Published on: February 22, 2018

Area of Science:

Physics
Fluid Dynamics
Active Matter

Background:

Active Janus particles exhibit self-propulsion.
Convection rolls create complex fluid flow patterns.
High Péclet numbers indicate advection-dominated transport.

Purpose of the Study:

Investigate active Janus particle diffusion in periodic convection rolls.
Characterize diffusion constants based on particle dynamics.
Inform control of active matter transport in microfluidics.

Main Methods:

Numerical simulations of particle diffusion.
Analysis of convection patterns with anisotropic advection.
Interpretation using classical transport theory.

Main Results:

Diffusion constants depend on self-propulsion speed, correlation time, and chirality.
Anisotropic advection properties influence particle trajectories.
Quantitative understanding of particle transport in patterned flows.

Conclusions:

Active particle diffusion is controllable via dynamical parameters.
Findings provide insights for designing microfluidic devices.
Analytical interpretation aids in understanding complex transport phenomena.