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Golden aspect ratio for ion transport simulation in nanopores

Subin Sahu and Michael Zwolak
Phys. Rev. E 98, 012404 – Published 5 July 2018

Abstract

Access resistance indicates how well current carriers from a bulk medium can converge to a pore or opening and is an important concept in nanofluidic devices and in cell physiology. In simplified scenarios, when the bulk dimensions are infinite in all directions, it depends only on the resistivity and pore radius. These conditions are not valid in all-atom molecular dynamics simulations of transport, due to the computational cost of large simulation cells, and can even break down in micro- and nanoscale systems due to strong confinement. Here, we examine a scaling theory for the access resistance that predicts a special simulation cell aspect ratio—the golden aspect ratio—where finite-size effects are eliminated. Using both continuum and all-atom simulations, we demonstrate that this golden aspect ratio exists and that it takes on a universal value in linear response and moderate concentrations. Outside of linear response, it gains an apparent dependence on characteristics of the transport scenario (concentration, voltages, etc.) for small simulation cells, but this dependence vanishes at larger length scales. These results will enable the use of all-atom molecular dynamics simulations to study contextual properties of access resistance—its dependence on protein and molecular-scale fluctuations, the presence of charges, and other functional groups—and yield the opportunity to quantitatively compare computed and measured resistances.

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  • Received 3 May 2018

DOI:https://doi.org/10.1103/PhysRevE.98.012404

©2018 American Physical Society

Physics Subject Headings (PhySH)

Physics of Living SystemsFluid Dynamics

Authors & Affiliations

Subin Sahu1,2 and Michael Zwolak1,*

  • 1Center for Nanoscale Science and Technology, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, USA
  • 2Maryland NanoCenter, University of Maryland, College Park, Maryland 20742, USA

  • *mpz@nist.gov

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Vol. 98, Iss. 1 — July 2018

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