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Journal Articles Physical Review E Year : 2022

Diffusion of a tracer in a dense mixture of soft particles connected to different thermostats

Abstract

We study the dynamics of a tracer in a dense mixture of particles connected to different thermostats. Starting from the overdamped Langevin equations that describe the evolution of the system, we derive the expression of the self-diffusion coefficient of a tagged particle in the suspension, in the limit of soft interactions between the particles. Our derivation, which relies on the linearization of the Dean-Kawasaki equations obeyed by the density fields and on a path-integral representation of the dynamics of the tracer, extends previous derivations that held for tracers in contact with a single bath. Our analytical result is confronted to results from Brownian dynamics simulations. The agreement with numerical simulations is very good even for high densities. We show how the diffusivity of tracers can be affected by the activity of a dense environment of soft particles that may represent polymer coils-a result that could be of relevance in the interpretation of measurements of diffusivity in biological media. Finally, our analytical result is general and can be applied to the diffusion of tracers coupled to different types of fluctuating environments, provided that their evolution equations are linear and that the coupling between the tracer and the bath is weak.
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Dates and versions

hal-04098057 , version 1 (15-05-2023)

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Cite

Marie Jardat, Vincent Dahirel, Pierre Illien. Diffusion of a tracer in a dense mixture of soft particles connected to different thermostats. Physical Review E , 2022, 106 (6), pp.064608. ⟨10.1103/PhysRevE.106.064608⟩. ⟨hal-04098057⟩
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