Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks. - Aidan Furlong; Farah Alsafadi; Scott Palmtag; Andrew Godfrey; Xu Wu (CoRR, 2024)

Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks. - Farah Alsafadi; Aidan Furlong; Xu Wu (CoRR, 2024)

Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks. - Aidan Furlong; Xingang Zhao; Bob Salko; Xu Wu (CoRR, 2025)

Physics-Based Hybrid Machine Learning for Critical Heat Flux Prediction with Uncertainty Quantification. - Aidan Furlong; Xingang Zhao; Robert Salko; Xu Wu (CoRR, 2025)

Deployment of Traditional and Hybrid Machine Learning for Critical Heat Flux Prediction in the CTF Thermal Hydraulics Code. - Aidan Furlong; Xingang Zhao; Robert Salko; Xu Wu (CoRR, 2025)

Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries. - Aidan Furlong; Xingang Zhao; Robert Salko; Xu Wu (CoRR, 2025)