Effect of replacement of Bi2O3 by Li2O on structural, thermal, optical and other physical properties of zinc borate glasses

Bala, Manju; Agrohiya, Sunil; Dahiya, Sajjan; Ohlan, Anil; Punia, R.; Maan, A. S.

doi:10.1016/j.molstruc.2020.128589

Cited by 59 publications

(8 citation statements)

References 37 publications

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“…The computation of B 2 O 3 structural groups can be explained by the calculations of four coordinate B-atoms N 4 and three coordinate B-atoms N 3 as [ 22 ]: where A 3 and A 4 denotes the areas of BO 3 and BO 4 units respectively.…”

Section: Resultsmentioning

confidence: 99%

“… The different neural networks were developed for the prediction of the densities but here ANNs were got to be best result in predicting glass densities with Tanh being the optimum activating function compared to identity. There is a shift in wavenumbers form 674 to 694 cm −1 and has increasing with Bi 2 O 3 content which is attributed to Boro-Oxy-Boro chain in [BO 3 ] units [ 22 ]. This may be created by electrostatic field of the strong polarizability of Bi 2+ ions.…”

Section: Discussionmentioning

confidence: 99%

“…There is a shift in wavenumbers form 674 to 694 cm −1 and has increasing with Bi 2 O 3 content which is attributed to Boro-Oxy-Boro chain in [BO 3 ] units [ 22 ]. This may be created by electrostatic field of the strong polarizability of Bi 2+ ions.…”

Section: Discussionmentioning

confidence: 99%

“…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%

“…The computation of B 2 O 3 structural groups can be explained by the calculations of four coordinate B-atoms N 4 and three coordinate B-atoms N 3 as [22]:…”

Section: Densitymentioning

confidence: 99%

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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: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Densitymentioning

confidence: 99%

“…The computation of B 2 O 3 structural groups can be explained by the calculations of four coordinate B-atoms N 4 and three coordinate B-atoms N 3 as [22]:…”

Section: Densitymentioning

confidence: 99%

See 3 more Smart Citations