ArticleNature catalysis2023
Three-dimensional nanoimaging of fuel cell catalyst layers.
Article in Nature catalysis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Ordered PtAngewandte Chemie (International ed. in English) · 2026Article
- Engineering of Optoelectronic Devices for Renewable Energy Applications.Micromachines · 2026Review
- Laying the Foundation for Digital Material Design of Porous Transport Electrodes for PEM Water Electrolysis With Multiscale Tomography.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Review
- Seeing the Middle: Reconstructing 3D Internal Electrode Microstructures from Low-Resolution Surfaces with Generative Diffusion Artificial Intelligence.Small science · 2025Article
- From Seeds to Cell: Improving PEMFC Performance and Durability by Seed-Mediation Synthesis for PtNiIr ORR Nanocatalysts.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Self-Assembled Hollow Gyroids with Bicontinuous Mesostructures: A Highly Robust Electrocatalyst Fixation Platform.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- A catalyst-coated diaphragm assembly to improve the performance and energy efficiency of alkaline water electrolysers.Communications engineering · 2025Article
- Unravelling complex mechanisms in materials processes with cryogenic electron microscopy.Chemical science · 2025Review
- The Impact of Metal-Support Interaction on the Structure and Activity of Carbon-Supported Ni Nanoparticle Catalysts for Alkaline Hydrogen Oxidation Reaction.ACS applied materials & interfaces · 2024Article
- Generative Artificial Intelligence for Designing Multi-Scale Hydrogen Fuel Cell Catalyst Layer Nanostructures.ACS nano · 2024Article
- The role of high-resolution transmission electron microscopy and aberration corrected scanning transmission electron microscopy in unraveling the structure-property relationships of Pt-based fuel cells electrocatalysts.Inorganic chemistry frontiers · 2024Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Catalyst layers in proton exchange membrane fuel cells consist of platinum-group-metal nanocatalysts supported on carbon aggregates, forming a porous structure through which an ionomer network percolates. The local structural character of these heterogeneous assemblies is directly linked to the mass-transport resistances and subsequent cell performance losses; its three-dimensional visualization is therefore of interest. Herein we implement deep-learning-aided cryogenic transmission electron tomography for image restoration, and we quantitatively investigate the full morphology of various catalyst layers at the local-reaction-site scale. The analysis enables computation of metrics such as the ionomer morphology, coverage and homogeneity, location of platinum on the carbon supports, and platinum accessibility to the ionomer network, with the results directly compared and validated with experimental measurements. We expect that our findings and methodology for evaluating catalyst layer architectures will contribute towards linking the morphology to transport properties and overall fuel cell performance.
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