Turing-Patterned Catalyst-Ionomer Architectures for Enhanced Mass Transport in Anion Exchange Membrane Fuel Cells

The membrane electrode assembly, a core component of anion exchange membrane fuel cells (AEMFCs), faces critical challenges in maintaining operational stability under fluctuating humidity conditions due to the insufficient environmental adaptability of conventional catalyst layers (CLs). Typically, ionomers within CLs simultaneously serve as ionic conductors and structural binders. However, their random distribution often leads to transport bottlenecks that compromise the triple-phase interface effectiveness. Herein, we introduce a molecular engineering strategy to construct Turing-patterned ionomer networks through precisely controlled cross-linking chemistry. Advanced microstructural characterization (transmission electron microscopy and atomic force microscopy) confirms the formation of a distinctive pendant-cross-linked architecture with periodic nanochannels (∼8 nm width), establishing interconnected pathways for simultaneous ion, water, and O<sub>2</sub> transport under low-humidity operating conditions. Combined theoretical modeling and electrochemical diagnostics reveal that this Turing-patterned architecture effectively reduces mass transport resistance compared to conventional systems while maintaining better single-cell durability. The engineered CL enables AEMFCs to achieve a record-high peak power density of 1.39 W cm<sup>-2</sup> under practical low relative humidity (70 °C, 60% RH, 0.1 MPa backpressure).

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Publication Details

Journal
Journal of the American Chemical Society
Published
2025-06-11
DOI
https://doi.org/10.1021/jacs.5c05281
Citations
7
Primary Topic
Fuel Cells and Related Materials
Type
article
Field-Weighted Citation Impact
5.11

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article

Turing-Patterned Catalyst-Ionomer Architectures for Enhanced Mass Transport in Anion Exchange Membrane Fuel Cells

Quan Liu, Xian Liang, Liang Wu, Xiaolin Ge et al.
7 citations
Journal of the American Chemical Society
Fuel Cells and Related Materials
5.11
article

Turing-Patterned Catalyst-Ionomer Architectures for Enhanced Mass Transport in Anion Exchange Membrane Fuel Cells

Quan Liu, Xian Liang, Liang Wu, Xiaolin Ge, Yan Xu, Mai Xu, Longlong Sun, Weisheng Yu, Zhiru Liu, Wenfeng Li, Tongwen Xu
article en
7 citations

Abstract

The membrane electrode assembly, a core component of anion exchange membrane fuel cells (AEMFCs), faces critical challenges in maintaining operational stability under fluctuating humidity conditions due to the insufficient environmental adaptability of conventional catalyst layers (CLs). Typically, ionomers within CLs simultaneously serve as ionic conductors and structural binders. However, their random distribution often leads to transport bottlenecks that compromise the triple-phase interface effectiveness. Herein, we introduce a molecular engineering strategy to construct Turing-patterned ionomer networks through precisely controlled cross-linking chemistry. Advanced microstructural characterization (transmission electron microscopy and atomic force microscopy) confirms the formation of a distinctive pendant-cross-linked architecture with periodic nanochannels (∼8 nm width), establishing interconnected pathways for simultaneous ion, water, and O<sub>2</sub> transport under low-humidity operating conditions. Combined theoretical modeling and electrochemical diagnostics reveal that this Turing-patterned architecture effectively reduces mass transport resistance compared to conventional systems while maintaining better single-cell durability. The engineered CL enables AEMFCs to achieve a record-high peak power density of 1.39 W cm<sup>-2</sup> under practical low relative humidity (70 °C, 60% RH, 0.1 MPa backpressure).

Journal of the American Chemical SocietyVol. 147(25)
University of Science and Technology of China (CN), Anhui University of Science and Technology (CN), Huainan Normal University (CN)
Natural Science Foundation for Distinguished Young Scholars of Anhui Province, National Natural Science Foundation of China, Natural Science Foundation of Anhui Province, University Natural Science Research Project of Anhui Province
Openalex Percentile: Top 4%
Fuel Cells and Related Materials
5.11
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