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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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Nuclear Science and Engineering
January 2026
Nuclear Technology
December 2025
Fusion Science and Technology
November 2025
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.
Advances in Thermal Hydraulics (ATH 2024)
Technical Session
Tuesday, November 19, 2024|10:00–11:45AM EST|Coral C
Session Chair:
Subash Sharma (UML)
Alternate Chair:
Ethan Wong (Imperial College London)
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Assessment of Physics-Informed Neural Networks (PINNs) with Transfer Learning (TL) for Incompressible Turbulent Flows
10:00–10:20AM EST
Y.H. Wong (Imperial College London), Y. Duan (Imperial College London), L. Lampunio (Imperial College London), M.D. Eaton (Imperial College London), M.J.Bluck (Imperial College London)
Paper
Prediction and Uncertainty Quantification of Critical Heat Flux -- A Comparison Between Generative Conditional VAEs and DNNs
10:20–10:40AM EST
Farah Alsafadi (NCSU), Aidan Furlong (NCSU), Xu Wu (NCSU)
Quantifying Model Uncertainty of Neural-Network Based Turbulence Closures
10:40–11:00AM EST
Cody Grogan (Utah State), Som Dutta (Utah State), Mauricio Tano (INL), Somayajulu L.N. Dhulipala (INL), Izabela Gutowska (Oregon State)
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