Structural and optical characterization of [(PVA:PVP)-Cu2+] composite films for promising semiconducting polymer devices

Ali, F. M.

doi:10.1016/j.molstruc.2019.04.014

Cited by 85 publications

(33 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The refractive indices and energy gaps of polyvinyl alcohol composites used for developing PSVR and OLR models were extracted from the literature [ 6 , 7 , 12 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 ]. The energy gaps and refractive indices dataset was extracted from sixty-three composite samples of polyvinyl alcohol.…”

Section: Hybrid Particle Swarm-based Support Vector Regression Model Developmentmentioning

confidence: 99%

Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm

Owolabi

Rahman

2021

Polymers

View full text Add to dashboard Cite

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.

show abstract

Section: Hybrid Particle Swarm-based Support Vector Regression Model Developmentmentioning

confidence: 99%

Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm

Owolabi

Rahman

2021

Polymers

View full text Add to dashboard Cite

show abstract

“…UV-Vis absorption spectroscopy is one of the most efficient tools to help understanding and improving the electronic band structure, optical behavior, and optical parameters of crystalline or amorphous polymeric materials. 31 The relationship between absorbance and transmittance according to Beer-Lambert law is expressed mathematically as follows:…”

Section: Optical Propertiesmentioning

confidence: 99%

“…As seen in Table 1, the E d and E i energies of PVA/ CS/MWCNT biocomposites estimated with Tauc and ASF methods are exactly the same with each other which reflects the homogeneity and good dispersion of MWCNT in the PVA/CS hybrid polymer. 31 The variations of E d and E i depending on MWCNT volume fraction are shown in Figure 9. It is clear that the E g (E d and E i ) values calculated by both methods are decreased with increasing MWCNT content.…”

Section: Optical Band Gap Energy Determinationmentioning

confidence: 99%

“…The higher the MWCNT content, the more charge carriers are added to the host polymer. 31,48 As the MWCNT content in biocomposites increases, the number of scattering centers increases and thus light circulates through more in the material. So, increasing MWCNT content leads to a decrease in the speed of light passing through the composite (n ¼ c/v) and refractive index values increase.…”

Section: Refractive Index (N) Calculationmentioning

confidence: 99%

See 1 more Smart Citation

Effect of MWCNT addition on the optical band gap of PVA/CS transient biocomposites

Mergen

2021

Journal of Composite Materials

View full text Add to dashboard Cite

In recent years, as a result of increasing environmental concerns, biodegradable materials have gained great attention. With the rapid development of electronic technology, the importance of innovation and development of low-cost, sustainable, transient bioelectronics materials is increasing. In this research, the preparation of Poly(Vinyl Alcohol) (PVA), Chitosan (CS), and Multi-Walled Carbon nanotube (MWCNT) biocomposite films have been described. The solution mixing, ultrasonic mixing, and spin coating techniques were used to prepare the PVA/CS/MWCNT biocomposite thin films. UV–Vis absorption spectroscopy and two-point probe resistivity measurement techniques were used to study the optical and electrical properties of the biocomposite thin films. Optical band gap energies ( Eg) of PVA/CS/MWCNT biocomposites were obtained using the Tauc and Absorbance Spectrum Fitting (ASF) methods. Results obtained with both methods were found to be exactly the same. Experimental results have shown that with increasing MWCNT concentration, electrical conductivity (σ) increases from 1.75x10−16 S to 2.94x10−3 S, and Eg decreases significantly. At the same time, the fundamental optical parameters such as band tail (Urbach) energy ( Eu), refractive index ( n), absorption ( α), and extinction ( k) coefficient of the PVA/CS/MWCNT biocomposites were investigated in the UV-VIS range. The improvement observed in the optical and electrical properties of PVA/CS/MWCNT biocomposite films shows that these composites could be used as bioelectronics materials.

show abstract

“…[ 24 ] Ali et al revealed that PVA/PVP–can be used in optoelectronics and energy devices as it doped with La 3+ or Ce 3+ or Cu 2+. [ 25–27 ] Hashim et al compared the effect of nano In 2 O 3 and Cr 2 O 3 doping on the optical characteristics of PVA/PVP blend, and they found that both nanocomposites have good optical characteristics with energy bandgap range (1.1–2.8) eV and excellent electrical conductivity that nominate it to be suitable for various photonics and electronics applications. [ 28 ] As 1%ZnO doped PVA/PVP blend, the thermal stability, complex permittivity, and electrical conductivity were improved while the optical band gap was reduced.…”

Section: Introductionmentioning

confidence: 99%

Tailoring the optical properties of PVA/PVP blend by doping with Cu/MnS nanoparticles

Mohamed

Ahmed

Alhazime

2021

Vinyl Additive Technology

View full text Add to dashboard Cite

PVA/PVP blend embedded with different ratios of nano Cu0.9Mn0.1S (Cu/MnS) was prepared with thermolysis and casting techniques. X‐ray diffraction analysis showed the formation of nano Cu/MnS as a single hexagonal phase with an average crystallite size 11 nm. Scanning electron microscope (SEM) revealed nearly homogenous particles morphology. Fourier transform infrared (FTIR) spectroscopy technique was applied to characterize the Cu/MnS doped PVA/PVP matrix. UV measurements were utilized to investigate the optical properties in detail. Upon doping with Cu/MnS, the bandgap of PVA/PVP was significantly decreasing with the amount of doping; which enabling tailoring the band gap depending on the doping content. The analysis showed that the main possible transitions in pure PVA/PVP blend are indirect allowed and direct forbidden. On the other hand, for the doped blend samples, the direct allowed is the main possible transition. Moreover, the refractive index and the real and imaginary parts of the dielectric constant increased upon increasing the Cu/MnS amount doped.

show abstract

Structural and optical characterization of [(PVA:PVP)-Cu2+] composite films for promising semiconducting polymer devices

Cited by 85 publications

References 45 publications

Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm

Modeling the Optical Properties of a Polyvinyl Alcohol-Based Composite Using a Particle Swarm Optimized Support Vector Regression Algorithm

Effect of MWCNT addition on the optical band gap of PVA/CS transient biocomposites

Tailoring the optical properties of PVA/PVP blend by doping with Cu/MnS nanoparticles

Contact Info

Product

Resources

About