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.
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
2022 ANS Winter Meeting and Technology Expo
November 13–17, 2022
Phoenix, AZ|Arizona Grand Resort
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
Fusion Science and Technology
Environmental Management: GAO Report Shows Mission Far From Complete
This spring, the U.S. Government Accountability Office (GAO) released an insightful report reviewing and summarizing the status and performance of the largest projects and operations within the Department of Energy’s Office of Environmental Management (EM), which is responsible for the cleanup of hazardous and radioactive waste at sites and facilities that have been contaminated from decades of nuclear weapons production and nuclear energy research.
Saturday, April 10, 2021|3:30–4:15PM (4:30–5:15PM EDT)
Grayson Gall (NC State Univ.)
Edward Chen (NC State Univ.)
Alp Tezbasaran (NC State Univ.)
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A PDE-informed Neural Network for a Closure Model without Physics Separation
Arsen S. Iskhakov (North Carolina State University), Nam T. Dinh (North Carolina State University)
Application of LatticeNet Deep Learning Architecture on Neutronics Predictions Using OpenMC
Aidan J. Furlong (University of Florida), Forrest W. Shriver (University of Florida), Justin K. Watson (University of Florida)
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