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Alharthi SS, Althobaiti MG, Alkathiri AA, Ali EE, Badawi A. Exploring the functional properties of PVP/PVA blend incorporated with non-stoichiometric SnS for optoelectronic devices. JOURNAL OF TAIBAH UNIVERSITY FOR SCIENCE 2022. [DOI: 10.1080/16583655.2022.2045766] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- Sami S. Alharthi
- Department of Physics, College of Science, Taif University, Taif, Saudi Arabia
| | - M. G. Althobaiti
- Department of Physics, College of Science, Taif University, Taif, Saudi Arabia
| | - Ali A. Alkathiri
- Department of Physics, College of Science, Taif University, Taif, Saudi Arabia
| | - Essam E. Ali
- Department of Physics, University College of Turabah, Taif University, Taif, Saudi Arabia
| | - Ali Badawi
- Department of Physics, College of Science, Taif University, Taif, Saudi Arabia
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Kumar YR, Deshmukh K, Ali MMN, Abhijay G, Al-Onazi WA, Al-Mohaimeed AM, Pasha SKK. Structure, morphology and modelling studies of polyvinylalcohol nanocomposites reinforced with nickel oxide nanoparticles and graphene quantum dots. ENVIRONMENTAL RESEARCH 2022; 203:111842. [PMID: 34363804 DOI: 10.1016/j.envres.2021.111842] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Revised: 08/01/2021] [Accepted: 08/02/2021] [Indexed: 06/13/2023]
Abstract
Nickel oxide (NiO) nanoparticles (NPs) and graphene quantum dots (GQDs) reinforced polyvinyl alcohol (PVA) nanocomposite films were prepared using a solution casting technique. The physicochemical characteristics of PVA/NiO/GQDs (PNG) nanocomposite films were studied using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), thermogravimetric analysis (TGA), and field emission scanning electron microscopy (FESEM). The obtained PNG nanocomposite films showed good mechanical flexibility and improved tensile strength. The influence of nanofiller concentrations on PNG nanocomposite film. The obtained results demonstrate an increase in the activation energy (Ea) up to PNG3 upon increasing the GQDs concentration and thereafter, its decreases. The fundamental interactions of the constituents of PNG nanocomposite film were investigated using density functional theory (DFT). This study on electronic structure reveals that the PVA model indirectly interacts with GQDs through the NiO model. This configuration is favoured in terms of interaction energy (-78 kJ/mol) compared to the one in which PVA interacts directly with the GQDs model.
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Affiliation(s)
- Y Ravi Kumar
- Functional Nanomaterials and Nanocomposite Laboratory, Department of Physics, VIT-AP University, Amaravati, Guntur, 522501, Andhra Pradesh, India
| | - Kalim Deshmukh
- New Technologies - Research Center, University of West Bohemia, Univerzitní 8, 30614, Plzeň, Czech Republic
| | - M Mohamed Naseer Ali
- Department of Physics, The New College (Autonomous), University of Madras, Chennai, 600014, Tamil Nadu, India
| | - Gade Abhijay
- Functional Nanomaterials and Nanocomposite Laboratory, Department of Physics, VIT-AP University, Amaravati, Guntur, 522501, Andhra Pradesh, India
| | - Wedad A Al-Onazi
- Department of Chemistry, College of Science, King Saud University, P.O.Box 22452, Riyadh, 11495, Saudi Arabia
| | - Amal M Al-Mohaimeed
- Department of Chemistry, College of Science, King Saud University, P.O.Box 22452, Riyadh, 11495, Saudi Arabia
| | - S K Khadheer Pasha
- Functional Nanomaterials and Nanocomposite Laboratory, Department of Physics, VIT-AP University, Amaravati, Guntur, 522501, Andhra Pradesh, India.
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Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm. Polymers (Basel) 2021; 13:polym13162697. [PMID: 34451237 PMCID: PMC8402182 DOI: 10.3390/polym13162697] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 08/03/2021] [Accepted: 08/08/2021] [Indexed: 12/04/2022] Open
Abstract
We developed particle swarm optimization-based support vector regression (PSVR) and ordinary linear regression (OLR) models for estimating the refractive index (n) and energy gap (E) of a polyvinyl alcohol composite. The n-PSVR model, which can estimate the refractive index of a polyvinyl alcohol composite using the energy gap as a descriptor, performed better than the n-OLR model in terms of root mean square error (RMSE) and mean absolute error (MAE) metrics. The E-PSVR model, which can predict the energy gap of a polyvinyl alcohol composite using its refractive index descriptor, outperformed the E-OLR model, which uses similar descriptor based on several performance measuring metrics. The n-PSVR and E-PSVR models were used to investigate the influences of sodium-based dysprosium oxide and benzoxazinone derivatives on the energy gaps of a polyvinyl alcohol polymer composite. The results agreed well with the measured values. The models had low mean absolute percentage errors after validation with external data. The precision demonstrated by these predictive models will enhance the tailoring of the optical properties of polyvinyl alcohol composites for the desired applications. Costs and experimental difficulties will be reduced.
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