Rubber (elastomer) based polymer nanocomposites have attracted wide range of attention from industries and other fields due to its exceptionally good mechanical, thermal and …
This study investigates the calculation of the effective atomic number (Z eff) of glass systems through the application of machine learning algorithms. Specifically, Artificial Neural …
We developed new composites for photons shielding applications. The composite were prepared with epoxy resin, red clay and bismuth oxide nanoparticles (Bi2O3 NPs). In order …
This study aims to investigate the impact of CeO2 content and particle size on the radiation shielding abilities of polydimethylsiloxane, also known as silicon rubber (SR). We prepared …
With the use of multilayer materials such as concrete, mortar and ceramics that were fortified with PbO, WO3 and Bi2O3 nanoparticles, our study's objective was to produce a an effective …
We aimed to study the radiation shielding properties of CaO-Al2O3-SiO2 glass systems. The linear attenuation coefficient (LAC) of the current glasses was estimated using Phy-X …
A thorough comparative analysis was conducted between pure epoxy and a novel epoxy composite that included bentonite and WO3 nanoparticles in varying ratios. This study …
In this study, we propose an alternative approach using Artificial Neural Networks (ANN) for determining Mass Attenuation Coefficients (MAC) in various glass systems. This method …
This study aimed to prepare silicone rubber composites with heavy metal oxide nanoparticles for gamma ray shielding applications. Different heavy metal oxide …