Papers

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Development of Variational Neural Networks for Uncertainty Quantification of Nuclear Applications

3:15–3:40PM MDT

Logan A. Burnett (Univ. Michigan), Umme Mahbuba Nabila (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan)

Paper

Towards Explainable AI in Nuclear: Introducing Ad Hoc Model Explainability

3:40–4:05PM MDT

Alex Xu (Univ. Michigan), Nataly Panczyk (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan)

Paper

Interpretable Machine Learning Regression for Nuclear Applications with Kolmogorov-Arnold Networks (KAN)

4:05–4:30PM MDT

Omer Erdem (Univ. Michigan), Nataly Panczyk (Univ. Michigan), Majdi I. Radaideh (Univ. Michigan)

Paper

High-Resolution Predictions of the Fuel and Cladding Temperatures for the 3D PWR Core with Artificial Neural Networks Trained on CTF

4:30–4:55PM MDT

Marianna Papadionysiou (École Polytechnique Fédérale de Lausanne), Gregory Delipei (NCSU), Maria Avramova (NCSU), Hakim Ferroukhi (Paul Scherrer Institute), Kostadin Ivanov (NCSU)

Presented by Chris Brady (NCSU)

Paper

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