Ziyu Xie

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, 421.

Functional PCA and deep neural networks-based Bayesian inverse uncertainty quantification with transient experimental data

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 420.

Hierarchical Bayesian modeling for Inverse Uncertainty Quantification of system thermal-hydraulics code using critical flow experimental data

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 239.

Benchmarking FFTF LOFWOS Test# 13 using SAM code: Baseline model development and uncertainty quantification

ANNALS OF NUCLEAR ENERGY, 192.

Scalable Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Variational Inference

ENERGIES, 16(22).

A comprehensive survey of inverse uncertainty quantification of physical model parameters in nuclear system thermal-hydraulics codes

NUCLEAR ENGINEERING AND DESIGN, 384.

Bayesian inverse uncertainty quantification of a MOOSE-based melt pool model for additive manufacturing using experimental data

ANNALS OF NUCLEAR ENERGY, 165.

Towards improving the predictive capability of computer simulations by integrating inverse Uncertainty Quantification and quantitative validation with Bayesian hypothesis testing

NUCLEAR ENGINEERING AND DESIGN, 383.