Probing ionomer distribution in PEMFC catalyst layers: AFM and DEM enabled microstructure analysis

Proton Exchange Membrane Fuel Cell (PEMFC) catalyst layers have been probed experimentally and theoretically for decades. However, existing microscopy techniques lack the ability to perform quantitative analyses on the catalyst and ionomer distributions of catalyst layers. Since the microstructure of the catalyst layer has an influence on the electrochemical performance, the simulation of catalyst layer microstructures is of great importance. A physics-based simulation model was recently reported to predict the microstructure of the catalyst layer as a function of ink composition. We propose a workflow to characterize catalyst layers with the utilisation of Atomic Force Microscopy. The novelty of the workflow lies in the calculation of a statistical description of the catalyst layer (CL). This statistical metric is then used as a validation metric for a microstructural physics-based simulation model. The resulting simulation workflow can be used to predict the ink composition required to obtain catalyst layers with desired microstructural properties, paving the way towards more efficient PEMFCs.

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Publication Details

Journal
ChemRxiv
Published
2026-10-29
DOI
https://doi.org/10.26434/chemrxiv.15011232/v1
Primary Topic
Fuel Cells and Related Materials
Type
preprint
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preprint

Probing ionomer distribution in PEMFC catalyst layers: AFM and DEM enabled microstructure analysis

Tim Renner, Matthias Baldofski, Alejandro A. Franco, Pempa Tshering Bhutia et al.
2 links
ChemRxiv
Fuel Cells and Related Materials
preprint

Probing ionomer distribution in PEMFC catalyst layers: AFM and DEM enabled microstructure analysis

Tim Renner, Matthias Baldofski, Alejandro A. Franco, Pempa Tshering Bhutia, Sourab Barath Vijayaraghavan, Bernhard Lill, Sarah Grcic
preprint en

Abstract

Proton Exchange Membrane Fuel Cell (PEMFC) catalyst layers have been probed experimentally and theoretically for decades. However, existing microscopy techniques lack the ability to perform quantitative analyses on the catalyst and ionomer distributions of catalyst layers. Since the microstructure of the catalyst layer has an influence on the electrochemical performance, the simulation of catalyst layer microstructures is of great importance. A physics-based simulation model was recently reported to predict the microstructure of the catalyst layer as a function of ink composition. We propose a workflow to characterize catalyst layers with the utilisation of Atomic Force Microscopy. The novelty of the workflow lies in the calculation of a statistical description of the catalyst layer (CL). This statistical metric is then used as a validation metric for a microstructural physics-based simulation model. The resulting simulation workflow can be used to predict the ink composition required to obtain catalyst layers with desired microstructural properties, paving the way towards more efficient PEMFCs.

ChemRxiv
Centre National de la Recherche Scientifique (FR), Institut Universitaire de France (FR), Réseau sur le Stockage Electrochimique de l'énergie (FR), Alistore (FR), Université de Picardie Jules Verne (FR), Freudenberg (Germany) (DE)
Fuel Cells and Related Materials
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Probing ionomer distribution in PEMFC catalyst layers: AFM and DEM enabled microstructure analysis — Tim Renner, Matthias Baldofski, et al. · ChemRxiv (2026) | TGRS Research Map | TGRS