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Conference Spotlight
2026 ANS 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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Latest News
AI at work: Southern Nuclear’s adoption of Copilot agents drives fleet forward
Southern Nuclear is leading the charge in artificial intelligence integration, with employee-developed applications driving efficiencies in maintenance, operations, safety, and performance.
The tools span all roles within the company, with thousands of documented uses throughout the fleet, including improved maintenance efficiency, risk awareness in maintenance activities, and better-informed decision-making. The data-intensive process of preparing for and executing maintenance operations is streamlined by leveraging AI to put the right information at the fingertips for maintenance leaders, planners, schedulers, engineers, and technicians.
Technical Session
Wednesday, May 18, 2022|3:30–5:15PM EDT|Pointview
Session Chair:
Benjamin S. Collins (U. of Texas)
Alternate Chair:
Benoit Forget (MIT)
Session Organizer:
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RAST-AI: A Standalone Nodal Diffusion/Deep Neural Network Code for Reactor Analysis and Simulation
Siarhei Dzianisau (Ulsan Nat'l Institute of Science and Technology), Fathurrahman Setiawan (Ulsan Nat'l Institute of Science and Technology), Korawit Saeju (Ulsan Nat'l Institute of Science and Technology), Jinsu Park (Ulsan Nat'l Institute of Science and Technology), Deokjung Lee (Ulsan Nat'l Institute of Science and Technology)
Paper
Using Neural Networks to Predict Pin Powers in Reflective PWR Fuel Assemblies with Varying Pin Size
Aidan Furlong (Univ. Florida), Forrest Shriver (Sentinel Devices), Justin Watson (Univ. Florida)
Prediction of Nuclear Reactor Core Parameters Using Artificial Neural Network
Wojciech Kubinski (National Centre for Nuclear Research), Piotr Darnowski (Warsaw Univ. Technology), Krzysztof Palmi (Warsaw Univ. Technology)
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