Scholar
Aidan Furlong
Google Scholar ID: 0mijYKYAAAAJ
Graduate Student, North Carolina State University
Nuclear Engineering
Machine Learning
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Citations & Impact
All-time
Citations
30
H-index
3
i10-index
0
Publications
17
Co-authors
6
list available
Publications
8 items
Assessment of Machine Learning-Based Critical Heat Flux Models in the CTF Subchannel Code for Square Rod Bundle Prediction
2026
Cited
0
Prediction of Critical Heat Flux in Rod Bundles Using Tube-Based Hybrid Machine Learning Models in CTF
2026
Cited
0
A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
2025
Cited
0
Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries
2025
Cited
0
Physics-Based Hybrid Machine Learning for Critical Heat Flux Prediction with Uncertainty Quantification
2025
Cited
0
Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
2025
Cited
0
Predicting Critical Heat Flux with Uncertainty Quantification and Domain Generalization Using Conditional Variational Autoencoders and Deep Neural Networks
arXiv.org · 2024
Cited
1
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Energy · 2024
Cited
0
Co-authors
3 total
Xu Wu
Associate Professor of Nuclear Engineering, North Carolina State University
Xingang Zhao
University of Tennessee
Robert Salko
Research Scientist, Oak Ridge National Laboratory
