Volume 46, Issue 12 pp. 17163-17179
RESEARCH ARTICLE

Electrochemical synthesis of MnO2/NiO/ZnO trijunction coated stainless steel substrate as a supercapacitor electrode and cyclic voltammetry behavior modeling using artificial neural network

Asma Alimi

Corresponding Author

Asma Alimi

Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Tunis, Tunisia

Faculty of Sciences of Tunis, University of Tunis El Manar, Tunis, Tunisia

Correspondence

Asma Alimi and Ibtissem Ben Assaker, Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Tunis, Tunisia.

Email: [email protected]; [email protected]

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Ibtissem Ben Assaker

Corresponding Author

Ibtissem Ben Assaker

Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Tunis, Tunisia

Correspondence

Asma Alimi and Ibtissem Ben Assaker, Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Tunis, Tunisia.

Email: [email protected]; [email protected]

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Jakub Mozaryn

Jakub Mozaryn

Institute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland

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David Ávila-Brande

David Ávila-Brande

Department of Inorganic Chemistry, Universidad Complutense de Madrid, Madrid, Spain

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Elizabeth Castillo-Martínez

Elizabeth Castillo-Martínez

Department of Inorganic Chemistry, Universidad Complutense de Madrid, Madrid, Spain

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Radhouane Chtourou

Radhouane Chtourou

Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Tunis, Tunisia

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First published: 13 July 2022
Citations: 16

Funding information: MCIN/AEI; Politechnika Warszawska, Poland; Young Researcher Encouragement Program; Tunisian Ministry of Higher Education and Scientific Research

Summary

Considering the limit of resources and the frequent use of energy, energy storage is nowadays the subject that everyone cares about. In the present work, we investigate trijunction metal oxides as supercapacitor electrode for energy storage application. A MnO2/NiO/ZnO trijunction electrode is synthesized for the first time using a successive three electrochemical deposition steps onto stainless steel (SS) substrate. This approach can effectively yield a good distribution and adhesion of all metal oxides onto the substrate with enhanced hydrophilicity and wettability. The specific capacitance of this trijunction electrode, as studied by cyclic voltammetry was higher than that of individual metal oxide electrodes. The maximum specific capacitance was estimated to be 1569.75 g−1 at a scan rate of 5 mV s−1. The enhanced electrochemical performance of this trijunction electrode compared to single metal oxide electrodes (MnO2, NiO, or ZnO) is mainly due to the improvement of ion and electron transportation pathways in the combination of three metal oxides electrode. In addition, this study presents an Artificial Neural Network (ANN) model to predict cyclic voltammetry behavior of the prepared trijunction supercapacitor electrode, with a high satisfactory performance for the predicted performance with <0.05% error. The low and simply synthesized hierarchical trijunction electrode with superior electrochemical performance and the good correlation between experimental and theoretical results prove huge potential for its practical application in supercapacitors (SCs).

DATA AVAILABILITY STATEMENT

Authors can confirm that all relevant data generated during this study are included in this published article.

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