Non-Markovian dynamics of a torsion pendulum immersed in an active bath

A torsion pendulum can probe a variety of phenomena such as photon spin or gravity, uncover the properties of spider draglines or examine stochastic thermodynamics of driven systems. Here we use such a device to probe the state of an assembly of macroscopic self propelled rod-like robots, a system that is out of equilibrium and very sensitive to the surrounding boundaries. When the persistent motion of the active particles plays an important role or when the particle assembly becomes dense, the probe dynamics shows non Markovian behaviour, i.e. memory effects, and a Gaussian but exponentially correlated noise arises. The correlation time of this active noise increases with the number of particles and undergoes a large jump when a transition to cluster formation occurs. The system allows direct tests of fluctuation theorems for second order Langevin equations with correlated noise. Effective temperatures are then obtained for a wide range of particle densities including the range where clusters dominate the dynamics. Torsion pendulums are versatile tools for exploring complex systems, including those out of equilibrium. The authors investigate macroscopic selfpropelled rod-like robots, revealing non-Markovian dynamics and exponentially correlated noise, with implications for understanding active matter and testing fluctuation theorems in dense particle assemblies.

Authors

Institutions

Publication Details

Journal
Communications Physics
Published
2025-11-20
DOI
https://doi.org/10.1038/s42005-025-02349-x
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Non-Markovian dynamics of a torsion pendulum immersed in an active bath

Thomas Barois, Thomas Guérin, J. F. Boudet, H. Kellay et al.
Communications Physics
Micro and Nano Robotics
article

Non-Markovian dynamics of a torsion pendulum immersed in an active bath

Thomas Barois, Thomas Guérin, J. F. Boudet, H. Kellay, Clément Tiffon
article en

Abstract

A torsion pendulum can probe a variety of phenomena such as photon spin or gravity, uncover the properties of spider draglines or examine stochastic thermodynamics of driven systems. Here we use such a device to probe the state of an assembly of macroscopic self propelled rod-like robots, a system that is out of equilibrium and very sensitive to the surrounding boundaries. When the persistent motion of the active particles plays an important role or when the particle assembly becomes dense, the probe dynamics shows non Markovian behaviour, i.e. memory effects, and a Gaussian but exponentially correlated noise arises. The correlation time of this active noise increases with the number of particles and undergoes a large jump when a transition to cluster formation occurs. The system allows direct tests of fluctuation theorems for second order Langevin equations with correlated noise. Effective temperatures are then obtained for a wide range of particle densities including the range where clusters dominate the dynamics. Torsion pendulums are versatile tools for exploring complex systems, including those out of equilibrium. The authors investigate macroscopic selfpropelled rod-like robots, revealing non-Markovian dynamics and exponentially correlated noise, with implications for understanding active matter and testing fluctuation theorems in dense particle assemblies.

Communications PhysicsVol. 8(1)
Centre National de la Recherche Scientifique (FR), Université de Bordeaux (FR)
Agence Nationale de la Recherche, Institut Universitaire de France
Openalex Percentile: Top 78%
Micro and Nano Robotics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.