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.
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
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
Eisenhower’s “Atoms for Peace” at 70
Seventy years ago to the day, President Dwight D. Eisenhower gave his historic address to the United Nations General Assembly in New York City. (See December 2023 Nuclear News's “Leaders” column to read the reflections of Kathryn Huff, the Department of Energy’s assistant secretary for nuclear energy, on the speech’s anniversary.)
Technical Session|Sponsored by MCD
Wednesday, November 16, 2022|10:00–11:45AM MST|Desert Willow
Abdullah Weiss (NIST)
Brian C. Kiedrowski
Sebastian Schunert (INL)
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High-to-Low Multi-Physics Modeling and Uncertainty Propagation Using NEAMS Tools
Joseph Fustero (NCSU), Walker Powell (NCSU), Kan Ni (NCSU), Nilay Atul Kulkarni (NCSU), Gregory K. Delipei (NCSU), David Holler (NCSU), Jason Hou (NCSU), Marco Delchini (ORNL), Ralph Smith (NCSU), Maria Avramova (NCSU)
Why is Uncertainty Quantification Important for Machine Learning Models?
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Multifidelity Uncertainty Quantification in Stochastic Media Transport Problems
Gianluca Geraci (Sandia), Aaron J. Olson (Sandia)
A Sampling-Based Approach to Solve Sobol' Indices Using Variance Deconvolution for Arbitrary Uncertainty Distributions
Aaron J. Olson (Sandia), Kayla B. Clements (Oregon State), James M. Petticrew (Univ. Sheffield)
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