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Predicting PEMFC performance from a volumetric image of catalyst layer structure using pore network modeling

Mohammad Amin Sadeghi, Zohaib Atiq Khan, Mehrez Agnaou, Leiming Hu, Shawn Litster, Anusorn Kongkanand, Elliot Padgett, David A. Muller, Tomislav Friščić, Jeff T. Gostick

2023Applied Energy48 citationsDOIOpen Access PDF

Topics & Concepts

IonomerKnudsen diffusionMaterials scienceProton exchange membrane fuel cellPorosityPolarization (electrochemistry)CatalysisChemical engineeringThermal diffusivityComposite materialAnalytical Chemistry (journal)ChemistryThermodynamicsChromatographyPhysical chemistryBiochemistryCopolymerEngineeringPhysicsPolymerElectrocatalysts for Energy ConversionFuel Cells and Related MaterialsAdvancements in Solid Oxide Fuel Cells
Predicting PEMFC performance from a volumetric image of catalyst layer structure using pore network modeling | Litcius