Concepedia

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

Electrochimica Acta · 2021 · 108 citations · 50 references

Open access

Concepts

Natural SciencesBiophysicsChemistryElectrochemical EngineeringElectrochemistrySpectroscopyDeep LearningElectrochemical Impedance SpectroscopyImpedance SpectroscopyNeural NetworksRelaxation MechanismsSpectral DeconvolutionDistribution Of Relaxation TimesElectrochemical Impedance AnalysisImpedance Data FittingRelaxation Time DistributionRelaxation Time MeasurementsRelaxation TimesTime-resolved Spectral Deconvolution

References

50

Electrochemical Methods: Fundamentals and Applications

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Natural Sciences, Chemical Engineering, Chemistry +12

Automatic differentiation in PyTorch

Adam Paszke, Sam Gross, Soumith Chintala et al. · 2017 · 11.1K citations

Computing, Computer Science, Mathematics +5

Impedance spectroscopy theory, experiment, and applications

Choice Reviews Online · 2005 · 2.3K citations

Natural Sciences, Materials Science, Physics +12

Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Djork-Arné Clevert, Thomas Unterthiner, Sepp Hochreiter · arXiv (Cornell University) · 2015 · 2.3K citations · Full text

Computing, Computer Science, Artificial Intelligence +14

Influence of the Discretization Methods on the Distribution of Relaxation Times Deconvolution: Implementing Radial Basis Functions with DRTtools

Ting Hei Wan, Mattia Saccoccio, Chi Chen et al. · Electrochimica Acta · 2015 · 2.3K citations

Natural Sciences, Computational Engineering, Computational Biophysics +13