ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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!
Latest Magazine Issues
Feb 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NRC issues Palisades’ draft environmental review, seeks public comment
The Nuclear Regulatory Commission is asking for public comments until March 3 on its environmental assessment (EA) and draft finding of no significant impact at Michigan’s Palisades nuclear power plant, where Holtec hopes to restart operations by the end of 2025.
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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