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January 30, 2026Energy

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

Xi Yuan Tianze Bai Changhong Peng

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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.

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Implication

Observational analysis reveals enhanced accuracy in reactor coolant loop modeling, suggesting improved safety assessments.

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Cite This Study

Yuan et al. (2026) studied this question.

synapsesocial.com/papers/69a75dcac6e9836116a28069 https://doi.org/10.1016/j.energy.2026.140177

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