By xwu27Our review journal article titled “Uncertainty Quantification for Data-Driven Machine Learning Models in Nuclear Engineering Applications: Where We Are and What Do We Need?” has... |Uncategorized
By xwu27Congratulations to Sofiia, Oliver and Evan for being selected for the prestigious DOE University Nuclear Leadership Program (UNLP) Undergraduate Scholarship. |Uncategorized
By xwu27Aidan’s journal paper titled “Physics-Based Hybrid Machine Learning for Critical Heat Flux Prediction with Uncertainty Quantification” has been accepted for publication at Applied Thermal Engineering... |Uncategorized
By xwu27Lauren’s journal paper titled “Bayesian Calibration and Sensitivity Analysis of Rayleigh Scattering Fiber Optic Distributed Temperature Sensing in Water Flow Loop” has been accepted for... |Uncategorized
By xwu27Congratulations to Lauren for winning the “FY 25 Innovations in Nuclear Energy Student Paper Competition Award”. Lauren has been recognized for her work on “Bayesian... |Uncategorized
By xwu27Alie’s journal paper titled “Monte Carlo Dropout Uncertainty Quantification of Long Short-Term Memory Autoencoder Anomaly Detection in a Liquid Sodium Cold Trap” has been accepted...