ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
Latest Magazine Issues
Aug 2026
Jan 2026
2026
Latest Journal Issues
Nuclear Science and Engineering
September 2026
Nuclear Technology
Fusion Science and Technology
August 2026
Latest News
NRC issues draft EA/FONSI for Duane Arnold restart
Efforts by NextEra Energy to restart the Duane Arnold nuclear power plant as early as 2029 continue to move forward with the Nuclear Regulatory Commission's preliminary environmental assessment and determination that the restart would have no significant environmental impacts.
On Thursday, the NRC posted a draft environmental assessment and a finding of no significant impact for the Palo, Iowa, facility; the Federal Register notice was published on Monday. The Department of Energy’s Office of Energy Dominance Financing is a cooperating agency on the draft EA, as the DOE is considering providing financial assistance to the restart project.
Technical Session|Machine Learning and Artificial Intelligence
Tuesday, April 29, 2025|3:15–4:55PM MDT|Horace Tabor
Session Chair:
Chris Brady (NCSU)
Alternate Chair:
Benjamin Whewell (LANL)
To access paper attachments, you must be logged in and registered for the meeting.
Register NowLog In
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)
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)
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 (PSI), Kostadin Ivanov (NCSU)
Presented by Chris Brady (NCSU)
Presentation Slides (Visible to Attendees)
