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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
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
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
TerraPower begins U.K. regulatory approval process
Seattle-based TerraPower signaled its interest this week in building its Natrium small modular reactor in the United Kingdom, the company announced.
TerraPower sent a letter to the U.K.’s Department for Energy Security and Net Zero, formally establishing its intention to enter the U.K. generic design assessment (GDA) process. This is TerraPower’s first step in deployment of its Natrium technology—a 345-MW sodium fast reactor coupled with a molten salt energy storage unit—on the international stage.
Technical Session|Sponsored by MCD
Wednesday, June 15, 2022|1:00–2:45PM PDT|Avila B
Session Chair:
Madicken Munk (Univ. Illinois, Urbana-Champaign)
Alternate Chair:
Alex Robinson (LLNL)
Session Organizer:
Brian C. Kiedrowski (Univ. Michigan)
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Why is Uncertainty Quantification Hard for Industrial Users?
Graham Macpherson (Frazer-Nash Consultancy), Neil Headings (Frazer-Nash Consultancy)
Paper
Numerical Investigation on the Performance of a Variance Deconvolution Estimator
Kayla Clements (Oregon State ), Gianluca Geraci (Sandia), Aaron Olson (Sandia)
Quantification of Deep Neural Networks Approximation Uncertainties for Transient Simulations
Mahmoud Yaseen (NCSU), Xu Wu (NCSU)
Analysis of Nuclear Research Reactor Experiments Using Machine Learning
Roberto E. Fairhurst-Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Data Augmentation with Generative Adversarial Networks
Farah Alsafadi (NCSU), Xu Wu (NCSU)
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