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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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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Apr 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
May 2025
Fusion Science and Technology
Latest News
Sam Altman steps down as Oklo board chair
Advanced nuclear company Oklo Inc. has new leadership for its board of directors as billionaire Sam Altman is stepping down from the position he has held since 2015. The move is meant to open new partnership opportunities with OpenAI, where Altman is CEO, and other artificial intelligence companies.
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)
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