Center for Nuclear Energy Facilities and Structures

Development and application of two-step uncertainty propagation and sensitivity analysis methodology for fast reactor safety analysis

Nuclear Engineering and Design.

Building a multiscale framework: An overview of the NEAMS thermal-hydraulics integrated research project

NUCLEAR ENGINEERING AND DESIGN, 433.

Data-driven prediction and uncertainty quantification of PWR crud-induced power shift using convolutional neural networks

Energy.

Determining Prestress Losses, Residual Capacity, and Degradation from Testing of Prestressed Concrete Bridge Girders after 56 Years of Service

Journal of Bridge Engineering, 30(2).

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

International Journal of Heat and Mass Transfer.