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Field-Dependent Dehydration and Optimal Ionic Escape Paths for C2N Membranes.

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Area of Science:

  • Physical Chemistry
  • Nanotechnology
  • Computational Science

Background:

  • Analytic theories often assume bias-independent permeation barriers for ion transport in nanopores.
  • Subnanometer pores and finite bias complicate analytical interpretations of ion transport.
  • Advances in fabrication and simulation necessitate understanding field-induced phenomena in ion transport.

Purpose of the Study:

  • To investigate electrostatically driven ion permeation through subnanoporous carbon nitride (C2N) membranes.
  • To analyze field-induced phenomena affecting ion transport barriers.
  • To compare atomistic simulations with analytical models like the Nernst-Planck equation.

Main Methods:

  • Atomistic modeling of ion permeation through C2N membranes.
  • Analysis of ionic escape trajectory probability distributions.
  • Simulation of current-voltage characteristics.
  • Comparison with the 1D Nernst-Planck model.

Main Results:

  • The optimal ion escape path switches configuration with changing bias magnitude.
  • Two mechanisms contribute to field-induced barrier changes: ion dehydration and hydration shell asymmetry.
  • Simulated currents deviate from analytical estimates at high fields due to these barriers.

Conclusions:

  • Ion transport through subnanoporous membranes is significantly influenced by electric field bias.
  • Field-induced changes in ion hydration are critical for understanding permeation barriers.
  • Existing analytical models require refinement to account for field-dependent transport phenomena.