Radiation shielding capacity and machine learning density prediction of boro-bismuth cadmium zinc glasses

B. Sreenivas; Shaik kareem Ahmmad; Y.S. Rammah; P. Hima Bindu

Open Ceramics (Dec 2023)

Radiation shielding capacity and machine learning density prediction of boro-bismuth cadmium zinc glasses

B. Sreenivas,
Shaik kareem Ahmmad,
Y.S. Rammah,
P. Hima Bindu

Affiliations

B. Sreenivas: Department of Physics, University College of Science, Osmania University, Hyderabad, Telangana State, 500007, India
Shaik kareem Ahmmad: Department of Physics, Muffakham Jah College of Engineering and Technology, Hyderabad, 500034, Telangana State, India; Corresponding author.
Y.S. Rammah: Department of Physics, Faculty of Science, Menoufia Univesity, 32511, Shebib El- Koom, Egypt
P. Hima Bindu: Department of Physics, University College of Science, Osmania University, Hyderabad, Telangana State, 500007, India; Corresponding author.

Journal volume & issue: Vol. 16
p. 100493

Abstract

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Bismuth borate cadmium zinc glasses were prepared using melt quenching technique for shielding applications. The glasses had the composition (80-x)B2O3-xBi2O3-10CdO-10ZnO, where 0 (HVL)5 > (HVL)10 > (HVL)15 > (HVL)20. The Radiation Protection Effectiveness (RPE) reinforces the superiority of BBCZ-20 glasses in shielding against gamma radiation, making them promising candidates for radiation protection applications.

Published in Open Ceramics

ISSN: 2666-5395 (Online)
Publisher: Elsevier
Country of publisher: United Kingdom
LCC subjects: Technology: Chemical technology: Clay industries. Ceramics. Glass
Website: https://www.journals.elsevier.com/open-ceramics

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