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Quantitative Understanding of Ionic Channel Network Variation in Nafion with Hydration Using Current Sensing Atomic

Osung Kwon1, Jihoon Lee2, Hyungju Son2

  • 1Faculty of Science, Tabula Rasa College, Keimyung University in Seongseo, Daegu 42601, Republic of Korea.

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|March 13, 2024
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Summary

This study quantifies how hydration affects ionic channels in proton exchange membranes (PEMs) using current sensing atomic force microscopy (CSAFM). A new method, the number of protons moving through the ionic channel network (NPMI), accurately reflects changes in PEM conductivity.

Keywords:
atomic force microscopycurrent sensing atomic force microscopyionic channel networkproton conductivityproton exchange membraneproton exchange membrane fuel cell

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Area of Science:

  • Materials Science
  • Electrochemistry
  • Nanotechnology

Background:

  • Proton exchange membranes (PEMs) are critical for proton-exchange membrane fuel cells (PEMFCs).
  • PEM performance relies on hydration-induced ionic channel networks.
  • Current sensing atomic force microscopy (CSAFM) offers sub-nano resolution for mapping conductance and morphology.

Purpose of the Study:

  • To quantitatively characterize ionic channel network variations in Nafion membranes due to hydration.
  • To develop a novel method for interpreting CSAFM images of PEMs.

Main Methods:

  • Utilized CSAFM to analyze Nafion membranes under varying relative humidity (RH) conditions.
  • Created a nano-sized PEMFC using a CSAFM Pt-coated tip and Nafion.
  • Derived the number of protons moving through the ionic channel network (NPMI) from CSAFM data.

Main Results:

  • Morphological changes and surface roughness of the PEMFC were analyzed at different RH levels.
  • Statistical analysis of CSAFM images provided insights into ionic channel behavior.
  • The NPMI method showed good agreement with experimental proton conductivity changes.

Conclusions:

  • A quantitative method was developed to understand hydration-induced ionic channel network variations in PEMs.
  • The NPMI calculation offers a reliable approach for interpreting CSAFM data.
  • This method provides a new tool for characterizing PEM morphology and performance.