Spectroscopic investigations of Fe3+ doped poly vinyl alcohol (PVA) capped ZnSe nanoparticles

Begum, Sk. Muntaz; Rao, M. C.; Aparna, Y.; Rao, P. Sambasiva; Ravikumar, R.V.S.S.N.

doi:10.1016/j.saa.2012.08.031

Cited by 18 publications

(5 citation statements)

References 38 publications

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“…10(a) that several bands which are characteristics of stretching and bending vibrations of O-H, C-H, C-C, C-O and N -H groups appear. The bands observed at 3900 cm −1 and 1154 cm −1 are assigned to stretching vibration of C-O group in PVA [27]. And the band at about 3455 cm −1 is assigned to that of -OH in PVA [28].…”

Section: Characterization Of Coatingsmentioning

confidence: 94%

Cathodic electrophoretic deposition of α-Fe2O3 coating

Tong

et al. 2015

J. Cent. South Univ.

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Submicro α-Fe 2 O 3 coatings were formed using electrophoretic deposition (EPD) technique in aqueous media. The zeta potentials of different α-Fe 2 O 3 suspensions with different additives were measured as a function of pH to identify the optimum suspension condition for deposition. Electrophoretic depositions of α-Fe 2 O 3 coatings under different applied electric fields and deposition time were studied and the effects of applied voltages and deposition time on deposition rates and thicknesses were investigated. The particle packing densities of the deposits at various applied voltages and deposition time were also analyzed by a scanning electron microscope (SEM). The results show that crack-free α-Fe 2 O 3 coatings with uniform microstructure and good adherence to the nickel substrates are successfully obtained. Electrophoretic deposited α-Fe 2 O 3 coating from aqueous suspension is a feasible, low-cost and environmental friendly method.

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Section: Characterization Of Coatingsmentioning

confidence: 94%

Cathodic electrophoretic deposition of α-Fe2O3 coating

Tong

et al. 2015

J. Cent. South Univ.

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“…The dataset for Cr-doped samples is shown in Table 2, 43–71 and the dataset for Fe-doped samples is presented in Table 3. 72–96 These data, after preprocessing, serve as input features for the regression models listed in Section 2.3, enabling the prediction of Cr 3+ and Fe 3+ behavior in different environments.…”

Section: Methodsmentioning

confidence: 99%

Prediction of metastable energy level distribution of D³⁺ (D = Cr and Fe) doped phosphors based on machine learning

Li,

Sun,

Wang

et al. 2024

J. Mater. Chem. C

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“…26,27 The dopant materials added to PVA alter its electronic properties, allowing for the creation of free charge carriers leading to electrical conductivity. 28,29 Modifying the dopant type and concentration can achieve various levels of conductivity, transforming insulating PVA into valuable semiconducting material for optoelectronic applications. [30][31][32] A novel and promising approach to achieving semiconducting properties in PVA involves the use of a dopant like Ternary Deep Eutectic Solvent (TDES) functionalized activated charcoal (TAC).…”

Section: Introductionmentioning

confidence: 99%

“…While PVA is an insulator, its semiconducting potential can be unlocked through doping 26,27 . The dopant materials added to PVA alter its electronic properties, allowing for the creation of free charge carriers leading to electrical conductivity 28,29 . Modifying the dopant type and concentration can achieve various levels of conductivity, transforming insulating PVA into valuable semiconducting material for optoelectronic applications 30–32 …”

Section: Introductionmentioning

confidence: 99%

Synergistic fabrication, characterization, and prospective optoelectronic applications of DES grafted activated charcoal dispersed PVA films

Lokesh Kumar,

Binish,

Rajprasad

et al. 2024

Polymers for Advanced Techs

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This study investigates the synthesis, analysis, and utility of films comprising deep eutectic solvent (DES) grafted activated charcoal (AC) within a polyvinyl alcohol (PVA) matrix for optoelectronic device applications. The fabrication process involves the dispersion of DES functionalization AC into the PVA solution, followed by casting onto substrates with controlled drying. Comprehensive characterization encompassing X‐ray diffraction (XRD), scanning electron microscopy (SEM), UV–vis spectroscopy, Fourier‐transform infrared spectroscopy (FTIR), and impedance spectroscopy which discerns the films microstructure, morphology, conductance, band‐gap, and optical traits. The DES grafted AC infusion with variable concentration has significantly influenced optical absorbance and reduced the band gap indicating efficient charge mobility. Furthermore, the impedance analysis has revealed the electrical conduction of the film to be 1.8 × 10−6 Ω−1 m−1. In summary, the dispersion of DES modified AC in the PVA matrix have converted the insulating PVA to a semiconducting polymeric film with reduced band‐gap and increased absorption, which present a propitious avenue for wide array of optoelectronic devices, such as thin film transistors, photovoltaics, LEDs, photodetectors, and many such applications.

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Spectroscopic investigations of Fe3+ doped poly vinyl alcohol (PVA) capped ZnSe nanoparticles

Cited by 18 publications

References 38 publications

Cathodic electrophoretic deposition of α-Fe2O3 coating

Cathodic electrophoretic deposition of α-Fe2O3 coating

Prediction of metastable energy level distribution of D³⁺ (D = Cr and Fe) doped phosphors based on machine learning

Synergistic fabrication, characterization, and prospective optoelectronic applications of DES grafted activated charcoal dispersed PVA films

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Spectroscopic investigations of Fe3+ doped poly vinyl alcohol (PVA) capped ZnSe nanoparticles

Cited by 18 publications

References 38 publications

Cathodic electrophoretic deposition of α-Fe2O3 coating

Cathodic electrophoretic deposition of α-Fe2O3 coating

Prediction of metastable energy level distribution of D3+ (D = Cr and Fe) doped phosphors based on machine learning

Synergistic fabrication, characterization, and prospective optoelectronic applications of DES grafted activated charcoal dispersed PVA films

Contact Info

Product

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Prediction of metastable energy level distribution of D³⁺ (D = Cr and Fe) doped phosphors based on machine learning