Channel-facilitated transport under resetting dynamics
Suvam Pal, Denis Boyer, Leonardo Dagdug, Arnab Pal

TL;DR
This paper investigates how resetting dynamics can enhance particle transport through channels by analyzing escape times and demonstrating potential benefits for biological and synthetic systems.
Contribution
It introduces a one-dimensional model of channel transport with resetting, providing analytical conditions for improved escape times, supported by Brownian dynamics simulations.
Findings
Resetting can significantly reduce escape times under certain conditions.
Analytical criteria identify when resetting benefits transport efficiency.
Simulations confirm theoretical predictions across various parameters.
Abstract
The transport of particles through channels holds immense significance in physics, chemistry, and biological sciences. For instance, the motion of solutes through biological channels is facilitated by specialized proteins that create water-filled channels and valuable insights can be obtained by studying the transition paths of particles through a channel and gathering statistics on their lifetimes within the channel or their exit probabilities. In a similar vein, we consider a one-dimensional model of channel-facilitated transport where a diffusive particle is subject to attractive interactions with the walls within a limited region of the channel. We study the statistics of conditional and unconditional escape times, in the presence of resetting--an intermittent dynamics that brings the particle back to its initial coordinate randomly. We determine analytically the physical conditions…
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Taxonomy
TopicsDiffusion and Search Dynamics
