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Updated: Oct 1, 2025

Visually Based Characterization of the Incipient Particle Motion in Regular Substrates: From Laminar to Turbulent Conditions
Published on: February 22, 2018
Motion of an active particle with dynamical disorder
Koushik Goswami1, Rajarshi Chakrabarti1
1Department of Chemistry, Indian Institute of Technology Bombay, Mumbai, Powai 400076, India. rajarshi@chem.iitb.ac.in.
We present a model for active particle motion in complex environments. This study explores how particle dynamics are influenced by active noise and environmental changes, offering insights into crowded systems.
Area of Science:
- Physics
- Chemical Physics
- Biophysics
Background:
- Investigating single active particle dynamics is crucial for understanding complex biological and physical systems.
- Environmental heterogeneity, arising from crowding or dynamic changes, significantly impacts particle motion.
Purpose of the Study:
- To develop and analyze a model for single active particle motion in heterogeneous environments.
- To explore the influence of active noise parameters on particle dynamics.
Main Methods:
- Modeling the active particle using the Ornstein-Uhlenbeck process (OUP).
- Incorporating environmental heterogeneity via 'diffusing diffusivity' and 'switching diffusion' models.
- Analyzing one-dimensional motion and dynamical properties.
Main Results:
- The study characterizes essential dynamical properties of the active particle.
- Demonstrated control of dynamical behavior by active noise variables like strength and persistence time.
- The model effectively captures particle motion in heterogeneous thermal baths.
Conclusions:
- The proposed model provides a framework for studying active particle dynamics in crowded and fluctuating environments.
- Understanding the interplay between active noise and environmental heterogeneity is key to predicting particle behavior.
- This research is relevant for single particle tracking and active matter studies.
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