Surrogate Models and Digital Twins

Testing Variational Neural Operator Based Surrogate Models for Severe Accident Analysis

1:00–1:20PM MST

Govatsa Acharya (KTH Royal Institute of Technology), Dmitry Grishchenko (KTH Royal Institute of Technology), Pavel Kudinov (KTH Royal Institute of Technology)

Comparative Analysis of Dimensionality Reduction of Dynamic Probabilistic Risk Assessment Simulation Data: A Case Study with a Sodium-Cooled Fast Reactor

1:20–1:40PM MST

Meredith R. Thibeault (University of Maryland), Yunfei Zhao (University of Maryland), Katrina M. Groth (University of Maryland)

A Benchmarking Framework for Evaluating Large Language Model Capabilities in Nuclear Reactor Safety Applications

1:40–2:00PM MST

Daniel K. Sluder (Idaho National Laboratory - Advanced Test Reactor), Thomas V. Holschuh (Idaho National Laboratory), Amanda Rynes, Mihai A. Diaconeasa (North Carolina State University), Dale Kepler (Idaho National Laboratory)

When Pooled Errors Hide Family-Specific Error Concentration: Family-Aware Diagnostics for Operator-Learning Surrogates in Thermal-Hydraulic Accident Analysis

2:00–2:20PM MST

Sinho Kim (Hanyang University), Hyojun An (Hanyang University), Joon-Eon Yang (Hanyang University), Jinho Song (Hanyang University), Sung Joong Kim (Hanyang University)

A Preliminary Analysis of Factors Influencing the Prediction Performance of Severe Accident Parameters

2:20–2:40PM MST

Yujin Kim (Hanyang University), Cheolwoong Kim (Hanyang University), JinHo Song (Hanyang University), Joon-Eon Yang (Hanyang University), Miro Seo (Korea Hydro and Nuclear Power Central Research Institute), Taewoo Kim (Korea Hydro and Nuclear Power Central Research Institute), Sung Joong Kim (Hanyang University)