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Published on: November 26, 2019
Configurational temperature in active matter. II. Quantifying the deviation from thermal equilibrium
Shibu Saw1, Lorenzo Costigliola1, Jeppe C Dyre1
1Glass and Time, IMFUFA, Department of Science and Environment, Roskilde University, P.O. Box 260, DK-4000 Roskilde, Denmark.
This study introduces configurational temperature (Tconf) to measure how far active matter systems deviate from thermal equilibrium using the Ts/Tconf ratio. This method is computationally efficient and applicable to various systems beyond active matter.
Area of Science:
- Statistical Mechanics
- Soft Matter Physics
- Computational Physics
Background:
- Active matter systems exhibit complex behaviors not fully described by equilibrium thermodynamics.
- Quantifying the deviation from thermal equilibrium in these systems is crucial for understanding their unique properties.
Purpose of the Study:
- To propose and validate a new metric, the ratio of systemic temperature (Ts) to configurational temperature (Tconf), for quantifying the departure from thermal equilibrium in active matter.
- To demonstrate the computational efficiency and broad applicability of this metric.
Main Methods:
- Calculating the ratio Ts/Tconf, where Ts is the canonical-ensemble temperature and Tconf is a local temperature derived from potential energy variations.
- Utilizing equilibrium simulations combined with a single steady-state active-matter configuration.
- Analyzing radial distribution functions and phase behavior in 3D Kob-Andersen and 2D Yukawa models with active Ornstein-Uhlenbeck and active Brownian Particle dynamics.
Main Results:
- The Ts/Tconf ratio effectively quantifies the deviation from thermal equilibrium across different active matter models.
- Ts/Tconf, along with structural and dynamic properties, remains invariant along the motility-induced phase separation boundary in the 2D Yukawa model.
- The metric is shown to be applicable to driven Hamiltonian systems beyond active matter.
Conclusions:
- The Ts/Tconf ratio provides a robust and computationally accessible measure of non-equilibrium in active matter.
- This metric offers insights into the phase behavior and dynamics of active systems.
- The proposed method generalizes to a wider range of systems with potential-energy functions, facilitating non-equilibrium studies.
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