Related Experiment Video
Updated: Apr 4, 2026
06:44
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
Published on: September 23, 2025
689
Crossover dynamics and non-Gaussian fluctuations in inertial active chains.
Manish Patel1,2, Subhajit Paul3, Debasish Chaudhuri1,2
1Institute of Physics, Sachivalaya Marg, Bhubaneswar 751005, Odisha, India.
The Journal of Chemical Physics
|April 3, 2026
Summary
Inertial effects in active matter are crucial for self-propelled particle dynamics. This study reveals how inertia, persistence, and interactions create complex motion patterns and observable signatures in active particle systems.
Area of Science:
- Active Matter Physics
- Statistical Mechanics
- Soft Condensed Matter
Background:
- Overdamped models often neglect inertial effects in active matter.
- Inertia can significantly influence the dynamics of self-propelled particles.
- Understanding these effects is key to predicting active matter behavior.
Purpose of the Study:
- To investigate the role of inertial effects in one-dimensional chains of interacting active particles.
- To analyze the interplay between persistence, interaction, and inertial timescales.
- To identify experimentally observable signatures of inertia in active matter systems.
Main Methods:
- Utilized a Green's function approach to derive key dynamic quantities.
- Analyzed mean-squared displacement and mean-squared change in velocity.
- Quantified non-Gaussian deviations using excess kurtosis and studied probability distributions.
Main Results:
- Identified multiple crossovers between ballistic, diffusive, and subdiffusive regimes.
- Derived analytic expressions for scaling coefficients and crossover times.
- Observed time-dependent probability distributions showing distinct data collapses, confirming scaling behavior.
Conclusions:
- Inertial effects significantly alter the dynamics of interacting active particles.
- The developed framework connects multiparticle interactions to microscopic dynamics.
- The study provides experimentally accessible signatures for detecting inertia in active matter.
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