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Correlation between the Experimental and Theoretical Photoelectrochemical Response of a WO 3 Electrode for Efficient Water Splitting through the Implementation of an Artificial Neural Network

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  • Mamy Diaby

    (Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Technoparc Borj Cedria, B.P. 095, Hammam Lif 2050, Tunisia
    Faculty of Sciences of Sfax, University of Sfax, Soukra Road km 3.5, B.P. 1171, Sfax 3029, Tunisia)

  • Asma Alimi

    (Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Technoparc Borj Cedria, B.P. 095, Hammam Lif 2050, Tunisia
    Faculty of Sciences of Tunis, University of Tunis El Manar, B.P. n° 94, Tunis 1068, Tunisia)

  • Afrah Bardaoui

    (Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Technoparc Borj Cedria, B.P. 095, Hammam Lif 2050, Tunisia)

  • Diogo M. F. Santos

    (Center of Physics and Engineering of Advanced Materials, Laboratory for Physics of Materials and Emerging Technologies, Chemical Engineering Department, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisbon, Portugal)

  • Radhaoune Chtourou

    (Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Technoparc Borj Cedria, B.P. 095, Hammam Lif 2050, Tunisia)

  • Ibtissem Ben Assaker

    (Nanomaterials and Systems for Renewable Energy Laboratory, Research and Technology Center of Energy (CRTEn), Technoparc Borj Cedria, B.P. 095, Hammam Lif 2050, Tunisia)

Abstract

Since the discovery of photoelectrochemical (PEC) water splitting with titanium dioxide electrodes in the presence of ultraviolet light, much work has been conducted to build an effective PEC water splitting system and develop novel photoelectrodes. Using a facile and controllable electrodeposition method, a thin tungsten trioxide (WO 3 ) film electrode onto a stainless steel (SS) substrate was synthetized. The effect of the deposition time on the structural, morphological, optical, and electrical properties of the as-grown WO 3 thin films was assessed. XRD spectra of the obtained films reveal the polycrystalline nature of WO 3 with a triclinic phase and exhibit a sharp transition to the (002) plane when the deposition time was extended beyond 10 min. The surface morphology showed a remarkable change in the grain size, thickness, and surface roughness when varying the deposition time. UV–Vis spectrophotometry revealed that the optical band gap values of WO 3 decreased from 1.78 to 1.36 eV by extending the electrodeposition duration from 10 to 30 min, respectively. Notably, as indicated from the PEC measurements, the obtained photoelectrode exhibited the effects of the deposition time on the photocurrent density, and the maximum value obtained was around 0.07 mA cm −2 for the sample deposited at 10 min. Finally, this study presents for the first time an artificial neural network model to predict the PEC behavior of the prepared photoanode, with a highly satisfactory performance of less than 0.05% error. The low cost and simply synthetized WO 3 /SS electrode with superior electrochemical performance and the excellent correlation between the experimental and theoretical results demonstrate its potential for practical application in water splitting and hydrogen production.

Suggested Citation

  • Mamy Diaby & Asma Alimi & Afrah Bardaoui & Diogo M. F. Santos & Radhaoune Chtourou & Ibtissem Ben Assaker, 2023. "Correlation between the Experimental and Theoretical Photoelectrochemical Response of a WO 3 Electrode for Efficient Water Splitting through the Implementation of an Artificial Neural Network," Sustainability, MDPI, vol. 15(15), pages 1-24, July.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11751-:d:1206632
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    References listed on IDEAS

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    1. Angela Gondolini & Nicola Sangiorgi & Alex Sangiorgi & Alessandra Sanson, 2021. "Photoelectrochemical Hydrogen Production by Screen-Printed Copper Oxide Electrodes," Energies, MDPI, vol. 14(10), pages 1-15, May.
    2. Rahimi, Mohammad & Abbaspour-Fard, Mohammad Hossein & Rohani, Abbas, 2021. "A multi-data-driven procedure towards a comprehensive understanding of the activated carbon electrodes performance (using for supercapacitor) employing ANN technique," Renewable Energy, Elsevier, vol. 180(C), pages 980-992.
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