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Division Spotlight
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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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Nominations open for CNTA awards
Citizens for Nuclear Technology Awareness is accepting nominations for its Fred C. Davison Distinguished Scientist Award and its Nuclear Service Award. Nominations for both awards must be submitted by August 1.
The awards will be presented this fall as part of the CNTA’s annual Edward Teller Lecture event.
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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