Deconvolving distribution of relaxation times, resistances and inductance from electrochemical impedance spectroscopy via statistical model selection: Exploiting structural-sparsity regularization and data-driven parameter tuning

Impedance Spectroscopy ◽

Model Selection ◽

Statistical Model ◽

Relaxation Times ◽

Parameter Tuning ◽

Data Driven ◽

Sparsity Regularization ◽

Statistical Model Selection

Analysis of Electrochemical Impedance Spectroscopy Using Distribution of Relaxation Times for Proton Exchange Membrane Fuel Cells and Electrolyzers

ECS Meeting Abstracts ◽

10.1149/ma2021-02411261mtgabs ◽

2021 ◽

Vol MA2021-02 (41) ◽

pp. 1261-1261

Author(s):

Alanna Gado ◽

Ryan J. Ouimet ◽

Leonard Bonville ◽

Stoyan Bliznakov ◽

Radenka Maric

Keyword(s):

Fuel Cells ◽

Impedance Spectroscopy ◽

Proton Exchange Membrane ◽

Relaxation Times ◽

Proton Exchange ◽

Exchange Membrane

The Gaussian process distribution of relaxation times: A machine learning tool for the analysis and prediction of electrochemical impedance spectroscopy data

Electrochimica Acta ◽

10.1016/j.electacta.2019.135316 ◽

2020 ◽

Vol 331 ◽

pp. 135316 ◽

Cited By ~ 8

Author(s):

Jiapeng Liu ◽

Francesco Ciucci

Keyword(s):

Machine Learning ◽

Impedance Spectroscopy ◽

Gaussian Process ◽

Relaxation Times ◽

Spectroscopy Data ◽

Learning Tool ◽

Electrochemical Impedance Spectroscopy Data ◽

Machine Learning Tool

Bayesian Statistical Framework for Deconvolving the Distribution of Relaxation Times from Electrochemical Impedance Spectroscopy Data

ECS Meeting Abstracts ◽

10.1149/ma2018-01/44/2554 ◽

2018 ◽

Keyword(s):

Impedance Spectroscopy ◽

Electrochemical Impedance Spectroscopy Data

Relaxation Times ◽

Spectroscopy Data ◽

Statistical Framework ◽

Internal polarization process revelation of electrochemical impedance spectroscopy of proton exchange membrane fuel cell by an impedance dimension model and distribution of relaxation times

Chemical Engineering Journal ◽

10.1016/j.cej.2021.129358 ◽

2021 ◽

Vol 418 ◽

pp. 129358

Author(s):

Hao Yuan ◽

Haifeng Dai ◽

Xuezhe Wei ◽

Pingwen Ming

Keyword(s):

Fuel Cell ◽

Impedance Spectroscopy ◽

Proton Exchange Membrane ◽

Relaxation Times ◽

Proton Exchange ◽

Polarization Process ◽

Exchange Membrane

Distortions in Electrochemical Impedance Spectroscopy Measurements Using 3-Electrode Methods in SOFC. II. Effect of Electrode Activity and Relaxation Times

Fuel Cells ◽

10.1002/fuce.200700020 ◽

2007 ◽

Vol 7 (5) ◽

pp. 377-391 ◽

Cited By ~ 26

Author(s):

M. Cimenti ◽

V. I. Birss ◽

J. M. Hill

Keyword(s):

Impedance Spectroscopy ◽

Relaxation Times ◽

Electrode Activity

Optimal Regularization in Distribution of Relaxation Times applied to Electrochemical Impedance Spectroscopy: Ridge and Lasso Regression Methods - A Theoretical and Experimental Study

Electrochimica Acta ◽

10.1016/j.electacta.2014.09.058 ◽

2014 ◽

Vol 147 ◽

pp. 470-482 ◽

Cited By ~ 87

Author(s):

Mattia Saccoccio ◽

Ting Hei Wan ◽

Chi Chen ◽

Francesco Ciucci

Keyword(s):

Experimental Study ◽

Impedance Spectroscopy ◽

Relaxation Times ◽

Lasso Regression ◽

Regression Methods

Distribution (function) of relaxation times, successor to complex nonlinear least squares analysis of electrochemical impedance spectroscopy?

Journal of Physics Energy ◽

10.1088/2515-7655/aba9e0 ◽

2020 ◽

Vol 2 (4) ◽

pp. 042001

Author(s):

Bernard A Boukamp

Keyword(s):

Distribution Function ◽

Impedance Spectroscopy ◽

Least Squares ◽

Relaxation Times ◽

Nonlinear Least Squares

A high-precision approach to reconstruct distribution of relaxation times from electrochemical impedance spectroscopy

Journal of Power Sources ◽

10.1016/j.jpowsour.2016.01.067 ◽

2016 ◽

Vol 308 ◽

pp. 1-6 ◽

Cited By ~ 36

Author(s):

Yanxiang Zhang ◽

Yu Chen ◽

Mei Li ◽

Mufu Yan ◽

Meng Ni ◽

...

Keyword(s):

Impedance Spectroscopy ◽

High Precision ◽

Relaxation Times

Bayesian and Hierarchical Bayesian Based Regularization for Deconvolving the Distribution of Relaxation Times from Electrochemical Impedance Spectroscopy Data

Electrochimica Acta ◽

10.1016/j.electacta.2017.07.050 ◽

2017 ◽

Vol 247 ◽

pp. 1117-1129 ◽

Cited By ~ 23

Author(s):

Mohammed B. Effat ◽

Francesco Ciucci

Keyword(s):

Impedance Spectroscopy ◽

Electrochemical Impedance Spectroscopy Data

Relaxation Times ◽

Hierarchical Bayesian ◽

Spectroscopy Data ◽

The deep-DRT: A Deep Neural Network Approach to Deconvolve the Distribution of Relaxation Times from Multidimensional Electrochemical Impedance Spectroscopy Data

Electrochimica Acta ◽

10.1016/j.electacta.2021.139010 ◽

2021 ◽

pp. 139010

Author(s):

Emanuele Quattrocchi ◽

Ting Hei Wan ◽

Alessio Belotti ◽

Dohyung Kim ◽

Simona Pepe ◽

...

Keyword(s):

Neural Network ◽

Impedance Spectroscopy ◽

Deep Neural Network ◽

Electrochemical Impedance Spectroscopy Data

Relaxation Times ◽

Spectroscopy Data ◽

Network Approach ◽

Neural Network Approach ◽