High-Precision and Robust DNN Model for Predicting Quality Factor of WPT-Oriented Slotted Ground Resonators
| dc.contributor.author | Nauryzbayev, Galymzhan | |
| dc.contributor.author | Almajali, Eqab | |
| dc.contributor.author | Jarndal, Anwar | |
| dc.contributor.author | Hashmi, Mohammad | |
| dc.contributor.author | Tolebi, Gulnur | |
| dc.contributor.author | Dautov, Kassen | |
| dc.contributor.institution | Nazarbayev University School of Engineering and Digital Sciences | |
| dc.date.accessioned | 2025 | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The 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.citation | Dautov, 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.doi | 10.1109/ACCESS.2025.3545141 | |
| dc.identifier.uri | https://doi.org/10.1109/ACCESS.2025.3545141 | |
| dc.identifier.uri | https://nur.nu.edu.kz/handle/123456789/11088 | |
| dc.language | en | |
| dc.publisher | IEEE | |
| dc.rights | Attribution 4.0 United States | |
| dc.source | IEEE Access, vol.13(2025), 36647-36657 | |
| dc.subject | Quantum mechanics | |
| dc.subject | Optoelectronics | |
| dc.subject | Physics | |
| dc.subject | Acoustics | |
| dc.subject | Q factor | |
| dc.subject | Computer science | |
| dc.subject | Quality (philosophy) | |
| dc.subject | Resonator | |
| dc.title | High-Precision and Robust DNN Model for Predicting Quality Factor of WPT-Oriented Slotted Ground Resonators | |
| dc.type | Article |