Hybrid modeling method for reactor coolant loop combining data-driven and physics-based constraints

Key Points

• The hybrid modeling method improves the accuracy of reactor coolant loop assessments, enhancing predictive capabilities.
• Accuracy increases by at least 30% when combining data-driven with physics-based constraints in the modeling process.
• Analysis combines data-driven methods with physics-based approaches to refine the hybrid modeling technique.
• The integration showcases potential for better risk assessment and operational safety in nuclear reactor systems.