Dynamics of a spherical self-propelled tracer in a polymeric medium: interplay of self-propulsion, stickiness, and crowding
Ramanand Singh Yadav, Chintu Das, and Rajarshi Chakrabarti

TL;DR
This study uses computer simulations to explore how self-propulsion, stickiness, and crowding influence the complex dynamics of a spherical tracer in a polymeric medium, revealing non-monotonic behaviors and non-Gaussian effects.
Contribution
It provides new insights into the combined effects of activity, stickiness, and viscoelasticity on tracer dynamics in polymeric environments through detailed simulation analysis.
Findings
Increased stickiness slows down tracer motion due to binding.
Higher self-propulsion velocity enhances tracer mobility.
Non-Gaussian behavior varies non-monotonically with stickiness and activity.
Abstract
We employ computer simulations to study the dynamics of a self-propelled spherical tracer particle in a viscoelastic medium, made of a long polymer chain. Here, the interplay between viscoelasticity, stickiness, and activity (self-propulsion) brings additional complexity to the tracer dynamics. Our simulation shows that on increasing the stickiness of the tracer particle to the polymer beads, the dynamics of the tracer particle slows down as it gets stuck to the polymer chain, and moves along with it. But with increasing the self-propulsion velocity, the dynamics gets enhanced. In case of increasing stickiness as well as activity, the non-Gaussian parameter (NGP) exhibits non-monotonic behavior, which also shows up in the re-scaled self part of the van-Hove function. Non-Gaussianity results owing to the enhanced binding events, and the sticky motion of the tracer along with the chain…
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