The effect of reduction of input-parameters on data-driven prediction of critical heat flux in rod bundles using extended parameters for reactor thermal–hydraulic safety

Key Points

• Critical heat flux predictions improve with reduced input-parameters, enhancing reactor safety.
• A significant finding includes a reduction of prediction error by approximately 25% when extended parameters are employed.
• Observational analysis on the effects of input-parameters provides insights into the data-driven prediction process.
• Enhanced prediction models may support future reactor designs, but require validation in real-world settings.