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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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Nuclear Science and Engineering
August 2025
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Latest News
Take steps on SNF and HLW disposal
Matt Bowen
With a new administration and Congress, it is time once again to ponder what will happen—if anything—on U.S. spent nuclear fuel and high-level waste management policy over the next few years. One element of the forthcoming discussion seems clear: The executive and legislative branches are eager to talk about recycling commercial SNF. Whatever the merits of doing so, it does not obviate the need for one or more facilities for disposal of remaining long-lived radionuclides. For that reason, making progress on U.S. disposal capabilities remains urgent, lest the associated radionuclide inventories simply be left for future generations to deal with.
In March, Rick Perry, who was secretary of energy during President Trump’s first administration, observed that during his tenure at the Department of Energy it became clear to him that any plan to move SNF “required some practical consent of the receiving state and local community.”1
Workshop
Sunday, April 21, 2024|1:00–5:00PM PDT|Franciscan A
Price: $49
Westinghouse Electric Company recognizes the importance of supporting students pursuing a career in reactor physics. For this reason, Westinghouse will be sponsoring the first 100 student workshop registrants by covering their fees. Contact registrar@ans.org for a discount code before registering. Limited space available in each workshop. Once these seats are filled, you will be put on a waitlist. You must request a discount code before registering. No refunds will be made if you do not contact us before registering.
Organizer: Xu Wu, North Carolina State University
Machine Learning (ML) is a subset of Artificial Intelligence (AI) that studies computer algorithms which improve automatically through experience (data). ML algorithms typically build a mathematical model based on training data and then make predictions without being explicitly programmed to do so. Its performance increases with experience, in other words, the machine learns. AI/ML have achieved tremendous success in tasks such as computer vision, natural language processing, speech recognition, and audio synthesis, where the datasets are in the format of images, text, spoken words and videos. Meanwhile, their applications in engineering disciplines mostly focus on scientific data, which resulted in a burgeoning discipline called scientific machine learning (SciML) that blends scientific computing and ML. SciML brings together the complementary perspectives of computational science and computer science to craft a new generation of ML methods for complex applications across science and engineering. Examples of SciML include physics-informed ML, surrogate modeling & model reduction, Bayesian inverse problems, digital twins, and ML-based uncertainty, sensitivity, assimilation, and validation analysis.
The “SciML for Nuclear Engineering Applications” workshop series has been organized in M&C and PHYSOR conferences since 2021. The goal of this workshop series is to present the most recent advances on SciML applications in Nuclear Engineering, as well as to provide training on essential SciML research topics. We hope to augment the applications of AI/ML in scientific computing and preparing the students for driving the next wave of data-driven scientific discovery in Nuclear Engineering. In this workshop, we will have five presentations that cover a wide range of topics, from fundamental SciML topics on an educational perspective to most recent research developments in SciML in various Nuclear Engineering areas. Participants do not need a laptop for this workshop.
Agenda:
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Presentation Slides (Visible to Attendees) — Abdo Presentation
Presentation Slides (Visible to Attendees) — Gruenwald Presentation
Presentation Slides (Visible to Attendees) — Gurecky Presentation
Presentation Slides (Visible to Attendees) — Mandelli Presentation
Presentation Slides (Visible to Attendees) — Ragusa Presentation
Presentation Slides (Visible to Attendees) — Wu Presentation
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