Predicting optimal membrane hydration and ohmic losses in operating fuel cells with machine learning
Joshua Paciocco, Taylr Cawte, Aimy Bazylak
Topics & Concepts
Dielectric spectroscopyElectrolyteProton exchange membrane fuel cellArtificial neural networkElectrochemistryElectrodeMaterials scienceBiological systemComputer scienceChemical engineeringArtificial intelligenceChemistryFuel cellsEngineeringPhysical chemistryBiologyFuel Cells and Related MaterialsAdvanced Battery Technologies ResearchElectrocatalysts for Energy Conversion