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- Hierarchical Bayesian modeling for Inverse Uncertainty Quantification of system thermal-hydraulics code using critical flow experimental data,International Journal of Heat and Mass Transfer,2025,
- A systematic approach for the adequacy analysis of a set of experimental databases: Application in the framework of the ATRIUM activity,Nuclear Engineering and Design,2024,
- Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data,Computer Methods in Applied Mechanics and Engineering,2024,
- Benchmarking FFTF LOFWOS Test# 13 using SAM code: Baseline model development and uncertainty quantification,Annals of Nuclear Energy,2023,
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