Scholarlink

<p>Polymer electrolyte membranes (PEMs), such as Nafion, have been widely employed as separators between the anode and cathode electrodes in various fuel cells and electrolyzers due to their excellent ionic conductivity and durability. However, several critical aspects of PEMs, including the mechanisms of proton conduction, remain poorly understood. Moreover, the native, degraded, and regenerated states of PEMs require further investigation to enhance their performance. Consequently, comprehensive integrated analyses, particularly those integrating multiscale and multiple time-scale techniques, are essential not only for understanding the behavior of PEMs but also for improving their functional properties. In this context, we briefly overview various analytical methods used for structural and dynamical characterization of PEMs, including the self-diffusion and translational dynamics of ions. The application of solid-state nuclear magnetic resonance spectroscopy to the study of PEMs is also reviewed. In addition, in-situ/operando analyses and the integration of artificial intelligence (AI) or machine learning with accumulated analytical data are discussed as emerging strategies for developing new design concepts for PEMs.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Analyses on the structure and dynamics of polymer electrolyte membranes

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月12日

查看全文
  • Oc Hee Han,
  • Hyun Mi Kim,
  • Yujin Son,
  • Yoo Jin Lee

摘要

Polymer electrolyte membranes (PEMs), such as Nafion, have been widely employed as separators between the anode and cathode electrodes in various fuel cells and electrolyzers due to their excellent ionic conductivity and durability. However, several critical aspects of PEMs, including the mechanisms of proton conduction, remain poorly understood. Moreover, the native, degraded, and regenerated states of PEMs require further investigation to enhance their performance. Consequently, comprehensive integrated analyses, particularly those integrating multiscale and multiple time-scale techniques, are essential not only for understanding the behavior of PEMs but also for improving their functional properties. In this context, we briefly overview various analytical methods used for structural and dynamical characterization of PEMs, including the self-diffusion and translational dynamics of ions. The application of solid-state nuclear magnetic resonance spectroscopy to the study of PEMs is also reviewed. In addition, in-situ/operando analyses and the integration of artificial intelligence (AI) or machine learning with accumulated analytical data are discussed as emerging strategies for developing new design concepts for PEMs.