Convolution Analysis in Electrodeposition

Andrew Lazicki; Jenna Ringwald; Johna Leddy

doi:10.1149/1945-7111/ad7aa2

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Convolution Analysis in Electrodeposition

Journal article

Open access

Peer reviewed

Convolution Analysis in Electrodeposition

Andrew Lazicki, Jenna Ringwald and Johna Leddy

Journal of the Electrochemical Society, Vol.171(10), 103506

10/18/2024

DOI: 10.1149/1945-7111/ad7aa2

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Abstract

Convolution is a well established method for data analysis for electrochemical processes where both product and reactants are soluble. Advantages of convolution analysis include (a) facile evaluation of kinetic and system parameters, (b) ready corrections for nonfaradaic uncompensated resistance and double layer charging, (c) track of surface concentrations with time, independent of the voltage perturbation sequence, and (d) ease of convolution calculation from digitized current data. Here, equations are derived for convolution of electrodeposition data and a data analysis protocol is presented. Advantages are found for convolution analysis in electrodeposition. Parameters that can be determined from convolution analysis in electrodeposition are standard heterogeneous rate constant k 0 and exchange current density j 0 , transfer coefficients α and β, formal potential E 0 ′, resistance to charge transfer, and diffusion coefficient of the solution soluble reactant, D M . Convolution in electrodeposition is illustrated for silver deposited from an ionic liquid onto a glassy carbon electrode, where experimental data are tracked cyclic voltammetrically.

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Details

Title: Subtitle: Convolution Analysis in Electrodeposition
Creators: Andrew Lazicki
Jenna Ringwald
Johna Leddy
Resource Type: Journal article
Publication Details: Journal of the Electrochemical Society, Vol.171(10), 103506
DOI: 10.1149/1945-7111/ad7aa2
ISSN: 0013-4651
eISSN: 1945-7111
Publisher: IOP Publishing; PENNINGTON
Grant note: Iowa Energy Center: 21 IEC 011
The financial support of the Iowa Energy Center 21 IEC 011 in collaboration with Bill Leddy of RE-WD, LLC is gratefully acknowledged.
Language: English
Electronic publication date: 09/13/2024
Date published: 10/18/2024
Academic Unit: Chemistry
Record Identifier: 9984708955402771

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