Physical, structural and optical characterization of silicate modified bismuth-borate-tellurite glasses

Berwal, Neelam; Dhankhar, Sunil; Sharma, Preeti; Kundu, R. S.; Punia, R.; Kishore, N.

doi:10.1016/j.molstruc.2016.08.033

Cited by 112 publications

(12 citation statements)

References 38 publications

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“…The de-convoluted parameters and band assignments are presented in Tables 2 and 3. The present IR spectra was de-convoluted with 6 Gaussian peaks for better understanding the deconvolution process [22][23][24][25] and structural changes in the glass network.…”

Section: Densitymentioning

confidence: 99%

Density of Bismuth Boro Zinc Glasses Using Machine Learning Techniques

Ahmed

Rajiya

Samee

et al. 2022

J Inorg Organomet Polym

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Machine learning techniques have been employed to predict the glass densities of xBi 2 O 3 –(70 − x)B 2 O 3 –20Li 2 O–5Sb 2 O 3 –5ZnO glasses using a data set of 2000 various B 2 O 3 rich glasses using their chemical composition and ionic radius. The experimental density of present glasses strongly depends on Bi 2 O 3 content which is increasing with bismuth content. The increasing density in bismuth doped glasses because the BO 3 are converted into BO 4 units, and besides BO 3 units are less heavy than the BO 4 units. The FTIR studies also confirm that the intensity of B–O–B bond decreasing with increasing Bi 2 O 3 content which suggested that B–O–B bond in bond ring isolated to BO 3 units transformed into BO 4 units. In Raman Spectra the stretching vibrations of BO 4 units shifting towards higher wavelengths with increasing Bi 2 O 3 content. This shifting conforms that there is a structural changes in the glass-matrix and borate units converting from BO 3 to BO 4 units. The prepared glasses along with B 2 O 3 rich glass data set train on various AI model such as gradient descent, Random Forest regression and Neural Networks to predict present density of glasses. Among the various models RF regression analysis model is successfully acceptable for the glass data with the highest R 2 value 0.983 which end result conform that the predicted and experimental values correlated. ANNs stood the effective technique in prediction of glass density with the optimum performance resulting with Tanh as the activation function (R 2 = 0.950). The minimum cost 0.018 obtained in the case of gradient decent function which also shows the better performance of regression model.

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Section: Densitymentioning

confidence: 99%

Density of Bismuth Boro Zinc Glasses Using Machine Learning Techniques

Ahmed

Rajiya

Samee

et al. 2022

J Inorg Organomet Polym

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“…Metallization criterion of a material describes the material's non-metallic nature on its energy band gap basis and is obtained as reported by (Berwal et al, 2017) as The information about solid's not metallic nature is given by its metallization criterion. Oxide glasses with metallization criterion value between 0.30 to 0.45 are considered to have good optical non-linearity (Berwal et al, 2017). Metallization criterion values for [(TeO2)0.7 (B2O3)0.3]1-x (SiO2)x glass system as presented in Table 5 increased from 0.4117 to 0.4228 with the SiO2 concentration increased from 0.0 to 0.4.…”

Section: Resultsmentioning

confidence: 99%

The Structural, Physical and Optical Properties of Borotellurite Glasses Incorporated with Silica from Rice Husk

Aliyu

Kamari

Hamza

et al. 2018

JSML

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From the agricultural waste of rice (rice husk), high purity SiO2 with about 98.548 % purity was extracted using a very simple room temperature leaching method. Using the rice husk extracted silicate, a system of silicate borotellurite glasses was fabricated with composition equation [(TeO2)0.7 (B2O3)0.3]1-x (SiO2)x with x= 0.0, 0.1, 0.2, 0.3 and 0.4. The density and molar volume were measured, and Fourier transform infrared (FTIR), X-ray diffraction (XRD) and UV-Vis analyses were performed on the glasses. Both the density and molar volume decreased and the XRD pattern confirmed the glasses' amorphous nature. The FTIR showed the presence of TeO3, TeO4, BO3, BO2O, SiO4, and H3BO3 structural units in the glasses. The concentrations of TeO3, TeO4, BO3 and BO2O structures were determined by the deconvolution of the FTIR spectra using an Origin software. The optical energy band gap, index of refraction, oxygen packing density (OPD), molar refractive index, metallization criterion and polaron radius were determined for the glasses. Based on the glass transparency, high refractive index value (2.3026 and 2.2937) and metallization criterion (0.4109 and 0.4132) of the glasses with x= 0.1 and 0.2 have potential for fiber and optical non-linear applications.

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“…Moreover, the decrease in R M /V M value implies that the width of both valence and conduction bands becomes small leading to large band gap and vice versa. The metallization criteria in terms of the molar refraction and molar volume can be calculated as [47]:…”

Section: Metallization Criterionmentioning

confidence: 99%

Physical and Optical Characterization of Manganese Ions in Sodium-Zinc -Phosphate Glass Matrix

El-Ghany¹

2018

International Advanced Research Journal in Science, Engineering

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In order to investigate the significant modifications induced by incorporation of manganese ions in sodiumzinc-phosphate glass matrix, a glass system of chemical formula 40P 2 O 5-40ZnO-(20-x)Na 2 O-xMnO (where, x varied from 1 to 6 mol%) was prepared using the traditional melt quenching technique. The values of the glass density were increased and those of the molar volume were decreased by increasing the content of MnO. In addition, the concentration of manganese ions and the related field strength were increased while the corresponding inter-ionic spacing and polaron radius were decreased. The spectroscopic studies of all samples were carried out over (190-2500 nm) spectral range. The optical transmission of the prepared glass in the visible-near IR spectral range is enhanced by increasing the MnO content where it reaches a maximum value of about 86% at concentration 3% of MnO. This excellent transmission in such spectral range suggested the use of the present glass in many technological applications such as optical filters, IR domes, modulators, laser windows and lenses especially for Nd:YAG lasers. The optical band gap energy and the Urbach energy were determined. The refractive index was found to be decreased by increasing the MnO concentration from 1% to 3% then increased by increasing the MnO concentration from 3% to 6%. Other related physical parameters such as dielectric constant, electric susceptibility, molar polarizibility and metallization criterion were evaluated. The results predicted the working of the present glass in the range of nonlinear optical materials.

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Physical, structural and optical characterization of silicate modified bismuth-borate-tellurite glasses

Cited by 112 publications

References 38 publications

Density of Bismuth Boro Zinc Glasses Using Machine Learning Techniques

Density of Bismuth Boro Zinc Glasses Using Machine Learning Techniques

The Structural, Physical and Optical Properties of Borotellurite Glasses Incorporated with Silica from Rice Husk

Physical and Optical Characterization of Manganese Ions in Sodium-Zinc -Phosphate Glass Matrix

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