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
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
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
Argonne scientists use AI to detect hidden defects in stainless steel
Imagine you’re constructing a bridge or designing an airplane, and everything appears flawless on the outside. However, microscopic flaws beneath the surface could weaken the entire structure over time.
These hidden defects can be difficult to detect with traditional inspection methods, but a new technology developed by scientists at the U.S. Department of Energy’s Argonne National Laboratory is changing that. Using artificial intelligence and advanced imaging techniques, researchers have developed a method to reveal these tiny flaws before they become critical problems.
Advances in Thermal Hydraulics (ATH 2024)
Technical Session
Tuesday, November 19, 2024|8:00–9:45AM EST|Coral C
Session Chair:
Subash Sharma (UML)
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AI-Enabled Fuel Temperature Prediction with Digital Visualization Using Heat Pipes in Microreactor Monolith Cores
8:00–8:20AM EST
Ik Jae Jin (Ulsan Nat'l Institute Science and Technology), In Cheol Bang (Ulsan Nat'l Institute Science and Technology)
Paper
Data Efficiency Assessment of Generative Adversarial Networks for Critical Heat Flux Synthetic Data Generation
8:20–8:40AM EST
Umme Mahbuba Nabila (Univ. Michigan), Linyu Lin (INL), Majdi I. Radaideh (Univ. Michigan)
Probabilistic Bayesian Neural Network (PBNN) for CHF Prediction with Uncertainty in a Uniformly Heated Vertical Tube Using CHF NRC Database
8:40–9:00AM EST
Anadi Mondal (Univ. Massachusetts, Lowell), Subash L. Sharma (Univ. Massachusetts, Lowell)
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