William Gurecky Associate R&D Staff Member Contact . . | GURECKYWL@ORNL.GOV All Publications Elastic Flow Modeling for Hydropower Digital Twins... Improvement of two-phase closure models in CTF using Bayesian inference Parallel Simulated Annealing with Embedded Machine Learning and Multifidelity Models for Reactor Core Design Polaris-PARCS Sensitivity Study on LWR Fuel Cycles: Polaris Input Options FY24 Mole Development Updates and SAM-Mole Coupling for MSR Species Transport Applications... Sensitivity Analysis of the SCALE/Polaris-PARCS Code Procedure for Watts Bar Unit 1 and Peach Bottom Unit 2 Machine Learning for Time-Series Prediction of the Cryogenic Moderator System in 91°µÍø's Spallation Neutron Source Facility Differences in high burnup fuel management strategies to minimize FFRD and increase economic viability Knowledge-Informed Uncertainty-Aware Machine Learning for Time Series Forecasting of Dynamical Engineered Systems Digital Twin Development of FASTR CTF: A modernized, production-level, thermal hydraulic solver for the solution of industry-relevant challenge problems in pre... One Dimensional Penstock Flow Models for Hydropower Digital Twin VERA 4.3 Release Notes Uncertainty Quantification in High-Low Dynamic System Coupling using RAVEN and TRANSFORM Uncertainty Quantification in High-Low Dynamic System Coupling Using RAVEN and TRANSFORM Coupling of CTF and TRANSFORM using the Functional Mockup Interface Crud Induced Power Shift Simulations using VERA Development of a Crud Induced Localized Corrosion Analysis Capability in VERA... Improvements to CTF Closure Models for Modelling of Two-Phase Flow... Inference of Crud Model Parameters from Plant Data Key Links Organizations Fusion and Fission Energy and Science Directorate Nuclear Energy and Fuel Cycle Division Nuclear Modeling and Simulation Development and Deployment Section Power Reactor Modeling Group
