Rozaida Ghazali

Reliability of machine learning methods for prediction of critical heat flux: an OECD/NEA benchmark study

Abstract Critical heat flux (CHF) prediction is a primary thermal-hydraulic requirement for water-cooled reactors. Machine-learning studies on the OECD/NEA Phase-1 benchmark report high in-distribution accuracy, but reliability under distribution shift is poorly characterised. Fo...