Enhanced particle diffusion in fluctuating binary environments

Fivos Perakis; Takeshi Kawasaki; Shinji Saito

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arXiv · 2512.02776

Enhanced particle diffusion in fluctuating binary environments

Fivos Perakis·Takeshi Kawasaki·Shinji Saito

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Abstract

We investigate single-particle diffusion in a two-state Langevin model where the friction coefficient randomly switches between low-friction (liquid-like) and high-friction (glassy-like) states. The dynamics are governed by the ratio between the friction switching time $\tau$ and the intrinsic velocity relaxation time $\tau_0$. For fast switching ($\tau/\tau_0 \lesssim 1$) the motion is homogeneous and Brownian, whereas for slow switching ($\tau/\tau_0 \gg 1$) the particle exhibits intermittent dynamics and an enhanced diffusion coefficient. Analysis of the single-particle overlap function $Q(t)$ and the dynamic susceptibility $\chi_4(t)$ reveals decoupling of the diffusion coefficient from the average friction upon cooling, which coincides with increasing temporal dynamic heterogeneity. This minimal model provides a transparent framework for understanding single-particle transport in media with fluctuating local mobility, including supercooled liquids and phase-separated soft materials.

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Fivos Perakis, Takeshi Kawasaki, Shinji Saito. 2025-12-02. Enhanced particle diffusion in fluctuating binary environments. https://arxiv.org/abs/2512.02776

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