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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nov 2025
Jul 2025
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Nuclear Science and Engineering
December 2025
Nuclear Technology
Fusion Science and Technology
November 2025
Latest News
Nuclear power’s new rule book: Managing uncertainty in efficiency, safety, and independence
The U.S. nuclear industry is standing at its most volatile regulatory moment yet—one that will shape the trajectory and the safety of the industry for decades to come. Recent judicial, legislative, and executive actions are rewriting the rules governing the licensing and regulation of nuclear power reactors. Although these changes are intended to promote and accelerate the deployment of new nuclear energy technologies, the collision of multiple legal shifts—occurring simultaneously and intersecting with profound technological uncertainties—is overwhelming the Nuclear Regulatory Commission and threatening to destabilize investor and industry expectations.
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)
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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)
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 (Paul Scherrer Institute), Kostadin Ivanov (NCSU)
Presented by Chris Brady (NCSU)
Presentation Slides (Visible to Attendees)
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