Papers

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Machine Learning Weather Models for Nuclear Fallout Dispersion Prediction

3:15–3:35PM MDT

Jorden Gershenson

Paper

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

3:35–3:55PM MDT

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

Paper

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

3:55–4:15PM MDT

Jeongwon Seo (Univ. Texas, Austin), Sam Queralt (Univ. Texas, Austin), William S. Charlton (Univ. Texas, Austin), Kevin T. Clarno (Univ. Texas, Austin)

Paper

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), Aaron J. Olson (Sandia)

Paper

Machine Learning Applications to Predict Transmission Spectra of Molten Salts

4:35–4:55PM MDT

Aarin N. Henning (Georgia Tech), Mathew W. Swinney (ORNL)

Paper

Discussion

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