Linear refractive index and density prediction of transparent B2O3-CaO-Li2O glasses reinforced with Sb2O3 utilizing machine learning techniques-Reference-Cited by-同舟云学术

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Linear refractive index and density prediction of transparent B2O3-CaO-Li2O glasses reinforced with Sb2O3 utilizing machine learning techniques

Published:2024-02-29 Issue:3 Volume:60 Page:713-721
ISSN:2510-1560
Container-title:Journal of the Australian Ceramic Society
language:en
Short-container-title:J Aust Ceram Soc

Author:

Al-Ghamdi Hanan,Alsaif Norah A. M.,Ahmmad Shaik Kareem,Ahmed M. M.,Shams M. S.,El-Refaey Adel M.,Abdelghany A. M.,Shaaban Shaaban M.,Rammah Y. S.,Elsad R. A.^ORCID

Funder

Princess Nourah Bint Abdulrahman University

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s41779-024-01006-w.pdf

Reference21 articles.

1. Sun, K.-H.: Calculation of refractive index of a glass as a direct function of its composition. J. Am. Ceram. Soc. 30, 282–287 (1947)

2. Huang, Y.Y., Sarkar, A., Schultz, P.C.: Relationship between composition, density and refractive index for germania silica glasses. J. Non-Cryst. Solids 27, 29–37 (1978)

3. Ritland, H.N.: Relation between refractive index and density of a glass at constant temperature. J. Am. Ceram. Soc. 38, 86–88 (1955)

4. Wen, Z., Curran, J.M., Harbison, S.-A., Wevers, G.: Bayesian mixture modelling for glass refractive index measurement. Sci. Justice 61, 345–355 (2021)

5. Deng, D.: Machine learning on density and elastic property of oxide glasses driven by large dataset. J. Non-Cryst. Solids 529, 119768 (2020)

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