2 papers
cs.LG2026
Assessment of Machine Learning-Based Critical Heat Flux Models in the CTF Subchannel Code for Square Rod Bundle Prediction
Aidan Furlong, Vinicius de Melo Monteiro, Robert Salko +2
The prediction of critical heat flux (CHF), a key safety-related quantity in nuclear thermal hydraulics, remains an important challenge due to its direct relationship with fuel per…
physics.data-an2019
On the prediction of critical heat flux using a physics-informed machine learning-aided framework
Xingang Zhao, Koroush Shirvan, Robert K. Salko +1
The critical heat flux (CHF) corresponding to the departure from nucleate boiling (DNB) crisis is essential to the design and safety of a two-phase flow boiling system. Despite the…