The deep-DRT: A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy data
Emanuele Quattrocchi, Ting Hei Wan, Alessio Belotti, Dohyung Kim, Simona Pepe, Sergei V. Kalinin, Mahshid Ahmadi, Francesco Ciucci
Topics & Concepts
DeconvolutionDielectric spectroscopyElectrical impedanceComputer scienceArtificial neural networkEquivalent circuitRelaxation (psychology)AlgorithmRegularization (linguistics)Electronic engineeringArtificial intelligenceBiological systemChemistryElectrical engineeringVoltageElectrochemistryEngineeringElectrodePhysical chemistrySocial psychologyPsychologyBiologyElectrochemical Analysis and ApplicationsAnalytical Chemistry and SensorsConducting polymers and applications