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Farah Alsafadi
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Year
A comprehensive survey of inverse uncertainty quantification of physical model parameters in nuclear system thermal–hydraulics codes
X Wu, Z Xie, F Alsafadi, T Kozlowski
Nuclear Engineering and Design 384, 111460, 2021
332021
Towards improving the predictive capability of computer simulations by integrating inverse Uncertainty Quantification and quantitative validation with Bayesian hypothesis testing
Z Xie, F Alsafadi, X Wu
Nuclear Engineering and Design 383, 111423, 2021
122021
Deep generative modeling-based data augmentation with demonstration using the BFBT benchmark void fraction datasets
F Alsafadi, X Wu
Nuclear Engineering and Design 415, 112712, 2023
22023
Effect of mesh refinement on the solution of the inverse uncertainty quantification problem for transient physics
RAA Saleem, FR Alsafadi, N Al-Abidah
Progress in Nuclear Energy 152, 104360, 2022
12022
ARTISANS—Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology
A Akins, A Furlong, L Kohler, J Clifford, C Brady, F Alsafadi, X Wu
Nuclear Engineering and Design 423, 113170, 2024
2024
EFFECT OF PARAMETRIC TUNING ON THE SOLUTION OF THE INVERSE UNCERTAINTY QUANTIFICATION PROBLEM
FR AL-SAFADI
Jordan University of Science and Technology, 2020
2020
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Articles 1–6