Diffusive flux into a stochastically gated tube

Diffusion-influenced reactions in the presence of gates that randomly open and close have been studied for decades in a variety of biophysical and biochemical scenarios. The diffusive flux from a large bulk reservoir to the end of a narrow tube with a stochastically gated entrance has been previously estimated. In this paper, we extend this gated flux estimate to be valid if (i) the tube is not necessarily narrow and/or (ii) the diffusivity differs in the tube vs the bulk. Extension (i) is challenging because it entails a nontrivial three-dimensional geometry. Extension (ii) is challenging because it introduces multiplicative noise. We derive an explicit flux estimate formula and prove that it is exact in certain parameter regimes. We further use stochastic simulations to show that the estimate remains accurate across a very broad range of parameters. Our results differ from prior work on extensions (i) and (ii).

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Publication Details

Journal
The Journal of Chemical Physics
Published
2026-05-12
DOI
https://doi.org/10.1063/5.0333292
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
0.00

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article

Diffusive flux into a stochastically gated tube

Sean D. Lawley
The Journal of Chemical Physics
stochastic dynamics and bifurcation
article

Diffusive flux into a stochastically gated tube

Sean D. Lawley
article en

Abstract

Diffusion-influenced reactions in the presence of gates that randomly open and close have been studied for decades in a variety of biophysical and biochemical scenarios. The diffusive flux from a large bulk reservoir to the end of a narrow tube with a stochastically gated entrance has been previously estimated. In this paper, we extend this gated flux estimate to be valid if (i) the tube is not necessarily narrow and/or (ii) the diffusivity differs in the tube vs the bulk. Extension (i) is challenging because it entails a nontrivial three-dimensional geometry. Extension (ii) is challenging because it introduces multiplicative noise. We derive an explicit flux estimate formula and prove that it is exact in certain parameter regimes. We further use stochastic simulations to show that the estimate remains accurate across a very broad range of parameters. Our results differ from prior work on extensions (i) and (ii).

The Journal of Chemical PhysicsVol. 164(18)
University of Utah (US)
National Science Foundation
Openalex Percentile: Top 6%
stochastic dynamics and bifurcation
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