Hybrid machine learning-monte carlo approach for neutron shielding in high-energy proton facilities

Key Points

• Enhancements in neutron shielding techniques show a significant reduction in radiation exposure.
• The combination approach notably improves safety measures, suggesting a 35% better efficiency in shielding effectiveness.
• Analysis using advanced computational models was conducted in high-energy proton facilities with various shielding materials available.
• This approach highlights the potential for improved safety protocols, but may require real-world validation for broader application.