The deep-DRT: A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy data-Reference-Cited by-同舟云学术

The deep-DRT: A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electrochemical impedance spectroscopy data

Published:2021-10 Issue: Volume:392 Page:139010
ISSN:0013-4686
Container-title:Electrochimica Acta
language:en
Short-container-title:Electrochimica Acta

Author:

Quattrocchi Emanuele,Wan Ting Hei^ORCID,Belotti Alessio^ORCID,Kim Dohyung^ORCID,Pepe Simona,Kalinin Sergei V.,Ahmadi Mahshid^ORCID,Ciucci Francesco

Funder

Research Grants Council, University Grants Committee

Publisher

Elsevier BV

Subject

Electrochemistry,General Chemical Engineering

Reference64 articles.

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4. Impedance Spectroscopy: Applications to Electrochemical and Dielectric Phenomena;Lvovich,2012

5. An application of electrochemical impedance spectroscopy to atmospheric corrosion study;Nishikata;Corros. Sci.,1995

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