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Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times

Xuhao Liu, Zilin Yan, Junwei Wu, Jake Huang, Yifeng Zheng, Neal P. Sullivan, Ryan O’Hayre, Zheng Zhong, Zehua Pan

2023Journal of Energy Chemistry29 citationsDOI

Topics & Concepts

Dielectric spectroscopyElectrical impedanceArtificial neural networkRelaxation (psychology)Biological systemMaterials scienceCeramicSpectral lineComputer scienceElectrochemistryAnalytical Chemistry (journal)Artificial intelligenceChemistryPhysicsEngineeringComposite materialChromatographyPhysical chemistryBiologyElectrical engineeringElectrodeNeuroscienceAstronomyAdvancements in Solid Oxide Fuel CellsFuel Cells and Related MaterialsAdvanced Battery Technologies Research
Prediction of impedance responses of protonic ceramic cells using artificial neural network tuned with the distribution of relaxation times | Litcius