A new approach to the problem of “good” and “bad” impedance data in electrochemical impedance spectroscopy

1994 ◽  
Vol 39 (13) ◽  
pp. 2025-2030 ◽  
Author(s):  
G.S. Popkirov ◽  
R.N. Schindler
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Electrochemical Impedance ◽  
New Approach ◽  
Impedance Data

Identifying thermal phase transitions of lignin–solvent mixtures using electrochemical impedance spectroscopy

2016 ◽  
Vol 18 (7) ◽  
pp. 1892-1897 ◽  
Author(s):  
Adam S. Klett ◽  
Jordan A. Gamble ◽  
Mark C. Thies ◽  
Mark E. Roberts
Keyword(s):  
Phase Transition ◽  
Transition Temperature ◽  
Electrochemical Impedance Spectroscopy ◽  
Impedance Spectroscopy ◽  
Electrochemical Impedance ◽  
Solvent Mixtures ◽  
New Approach ◽  
Thermal Phase ◽  
Solvent Systems ◽  
Thermal Phase Transitions

A new approach to measuring the phase-transition temperature of lignin–solvent systems using electrochemical impedance spectroscopy is reported.

Electrochemical Impedance Spectroscopy and Characterization of 20% Yttria doped Cerium on Silicon

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
M. Saber ◽  
J.I. Rossero ◽  
C.G. Takoudis
Keyword(s):  
Electrochemical Impedance Spectroscopy ◽  
Ionic Conductivity ◽  
Impedance Spectroscopy ◽  
Silicon Substrate ◽  
Electrochemical Impedance ◽  
Arrhenius Plot ◽  
High Ionic Conductivity ◽  
Equivalent Circuits ◽  
Impedance Data

Bare silicon and 20% yttria stabilized ceria on a silicon substrate are annealed. The annealed substrates are analyzed at varying temperatures using electrochemical impedance spectroscopy. The impedance data is fitted against appropriate equivalent circuits and the fitted data is characterized with an Arrhenius plot and a plot of the ionic conductivity against temperature. The 20% YDC sample is found to have a high ionic conductivity, and therefore should be studied further in order to determine the practicality of using YDC as an electrolyte.

A Bayesian View on the Hilbert Transform and the Kramers-Kronig Transform of Electrochemical Impedance Data: Probabilistic Estimates and Quality Scores

2020 ◽  
Author(s):  
Jiapeng Liu ◽  
Ting Hei Wan ◽  
Francesco Ciucci
Keyword(s):  
Power Generation ◽  
Electrochemical Impedance Spectroscopy ◽  
Hilbert Transform ◽  
Electrochemical Impedance ◽  
The Self ◽  
Impedance Data ◽  
The Hilbert Transform ◽  
Validation Tests ◽  
Self Consistency ◽  
Mathematical Relations

<p>Electrochemical impedance spectroscopy (EIS) is one of the most widely used experimental tools in electrochemistry and has applications ranging from energy storage and power generation to medicine. Considering the broad applicability of the EIS technique, it is critical to validate the EIS data against the Hilbert transform (HT) or, equivalently, the Kramers–Kronig relations. These mathematical relations allow one to assess the self-consistency of obtained spectra. However, the use of validation tests is still uncommon. In the present article, we aim at bridging this gap by reformulating the HT under a Bayesian framework. In particular, we developed the Bayesian Hilbert transform (BHT) method that interprets the HT probabilistic. Leveraging the BHT, we proposed several scores that provide quick metrics for the evaluation of the EIS data quality.<br></p>

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