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
Radiation Protection & Shielding
The Radiation Protection and Shielding Division is developing and promoting radiation protection and shielding aspects of nuclear science and technology — including interaction of nuclear radiation with materials and biological systems, instruments and techniques for the measurement of nuclear radiation fields, and radiation shield design and evaluation.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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Nov 2024
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Japanese researchers test detection devices at West Valley
Two research scientists from Japan’s Kyoto University and Kochi University of Technology visited the West Valley Demonstration Project in western New York state earlier this fall to test their novel radiation detectors, the Department of Energy’s Office of Environmental Management announced on November 19.
Technical Session|Sponsored by MCD
Wednesday, November 16, 2022|10:00–11:45AM MST|Desert Willow
Session Chair:
Abdullah Weiss (NIST)
Alternate Chair:
Brian C. Kiedrowski
Session Organizer:
Sebastian Schunert (INL)
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High-to-Low Multi-Physics Modeling and Uncertainty Propagation Using NEAMS Tools
10:00–10:20AM MST
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)
Paper
Why is Uncertainty Quantification Important for Machine Learning Models?
10:20–10:40AM MST
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Multifidelity Uncertainty Quantification in Stochastic Media Transport Problems
10:40–11:00AM MST
Gianluca Geraci (Sandia), Aaron J. Olson (Sandia)
A Sampling-Based Approach to Solve Sobol' Indices Using Variance Deconvolution for Arbitrary Uncertainty Distributions
11:00–11:20AM MST
Aaron J. Olson (Sandia), Kayla B. Clements (Oregon State), James M. Petticrew (Univ. Sheffield)
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