High-Precision and Robust DNN Model for Predicting Quality Factor of WPT-Oriented Slotted Ground Resonators

dc.contributor.authorNauryzbayev, Galymzhan
dc.contributor.authorAlmajali, Eqab
dc.contributor.author Jarndal, Anwar
dc.contributor.author Hashmi, Mohammad
dc.contributor.authorTolebi, Gulnur
dc.contributor.authorDautov, Kassen
dc.contributor.institutionNazarbayev University School of Engineering and Digital Sciences
dc.date.accessioned2025
dc.date.issued2025
dc.description.abstractThe effectiveness of materials in aqueous contaminant treatment technologies by sorptive removal relies on their ability to be reused and their removal efficiency. Thermal desorption stands out as a promising method to improve the reusability of these materials. In this study, Zeolitic Imidazolate Framework-67 (ZIF-67) derived Cobalt N-Doped Carbon (Co/NC) and metal-impregnated (Ru, Pt, and Pd) Co/NC nanoparticles have been synthesized and tested for the effective removal of aqueous Hg(II) and its reusability by thermal desorption. Reduced Co/NC efficiently removed Hg(II), adsorbing 99.9% of aqueous Hg(II) in 2.5 min through pyridinic-N adsorption sites and Co0 reducing Hg(0) on the surface. The testing of various metals (Ru, Pt, and Pd) on the surface of Co/NC showed that Pd(4%)-Co/NC achieved the highest reactivity with a maximum adsorption capacity of 49.93 mgg–1 using the Langmuir model. Pd(8%)-Co/NC showed the highest adsorbed Hg(0) (79.1%) and fastest removal kinetics (135.52 g mg–1 min–1). The Pd(4%)-Co/NC catalyst retained its durability and stability, eliminating 99.9% of the aqueous Hg species throughout 10 consecutive cycles. The 80.11% and 85.4% of adsorbed Hg were recovered by thermal desorption at 500 °C on Pd(4%)-Co/NC and Co/NC surfaces, respectively. Pd(4%)-Co/NC displayed notable promise as a sustainable catalyst for Hg(II) reductive removal in wastewater treatment technologies, emphasizing its enduring effectiveness and reuse potential for practical engineering applications.
dc.identifier.citationDautov, K., Tolebi, G., Hashmi, M. S., Jarndal, A., Almajali, E., Nauryzbayev, G. (2025). High-precision and robust DNN model for predicting quality factor of WPT-oriented slotted ground resonators. IEEE Access, vol.13(2025), 36647-36657. https://doi.org/10.1109/ACCESS.2025.3545141
dc.identifier.doi10.1109/ACCESS.2025.3545141
dc.identifier.urihttps://doi.org/10.1109/ACCESS.2025.3545141
dc.identifier.urihttps://nur.nu.edu.kz/handle/123456789/11088
dc.languageen
dc.publisherIEEE
dc.rightsAttribution 4.0 United States
dc.sourceIEEE Access, vol.13(2025), 36647-36657
dc.subjectQuantum mechanics
dc.subjectOptoelectronics
dc.subjectPhysics
dc.subjectAcoustics
dc.subjectQ factor
dc.subjectComputer science
dc.subjectQuality (philosophy)
dc.subjectResonator
dc.titleHigh-Precision and Robust DNN Model for Predicting Quality Factor of WPT-Oriented Slotted Ground Resonators
dc.typeArticle

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