Uncertainty Quantification, Sensitivity Analysis, and Machine Learning: I

Machine Learning Weather Models for Nuclear Fallout Dispersion Prediction

3:15–3:35PM MDT

Jorden Gershenson

A Domain Decomposition Approach for 1-D Transport with Anisotropy using Physics-Informed Neural Networks

3:35–3:55PM MDT

Ravi S. Shastri (University of Michigan Ann Arbor), Abraham Skoczylas, Patrick Myers (University of Michigan), Majdi I. Radaideh (University of Michigan Ann Arbor), Brian C. Kiedrowski (University of Michigan)

Control Rod Worth Calibration using Gaussian Process Regression for the TRIGA Mk-II Reactor

3:55–4:15PM MDT

Jeongwon Seo (University of Texas at Austin), Sam Queralt (The University of Texas at Austin), William S. Charlton (University of Texas-Austin), Kevin T. Clarno (University of Texas at Austin)

Numerical exploration of low-fidelity model alternatives for multi-fidelity sampling in radiation transport problems with stochastic media

4:15–4:35PM MDT

Alec Shelley, Daniel Tartakovsky (Stanford), Gianluca Geraci (Sandia National Laboratories), Aaron J. Olson (Sandia National Laboratories)

Machine Learning Applications to Predict Transmission Spectra of Molten Salts

4:35–4:55PM MDT

Aarin N. Henning (Georgia Tech), Mathew W. Swinney (Oak Ridge National Laboratory)