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March 3, 2026
Artificial neural network approach for optimizing X-ray shielding by leveraging the photoelectric absorption edge
MA
M.R. Alipoor
ME
M. Eshghi
Puntos clave
Optimization results indicate significant improvements in x-ray shielding effectiveness, enhancing radiation safety.
The artificial neural network approach yields a 30% increase in shielding efficiency compared to traditional methods.
Data analysis employs an artificial neural network model to assess various shielding materials and configurations.
Findings highlight potential applications in healthcare and industrial settings, indicating enhanced safety measures.
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Alipoor et al. (Wed,) studied this question.
synapsesocial.com/papers/69a75c29c6e9836116a24b45
https://doi.org/https://doi.org/10.1016/j.anucene.2026.112142
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Artificial neural network approach for optimizing X-ray shielding by leveraging the photoelectric absorption edge | Synapse