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.
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.
2021 ANS Winter Meeting and Technology Expo
November 30–December 3, 2021
Washington, DC|Washington Hilton
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
Effort to overturn Montana’s pronuclear law advances
A Montana citizens group received the go-ahead this week to collect signatures for a ballot initiative that could wind up repealing a recently enacted law that allows the state legislature to okay the construction of nuclear power facilities without direct input from the public.
Saturday, April 10, 2021|1:00–2:30PM (2:00–3:30PM EDT)|Room 5
Andy Rivas (NC State Univ.)
Edward Chen (NC State Univ.)
Grayson Gall (NC State Univ.)
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Expansion of the Monte Carlo Integrated Tiger Series Validation Suite
Rowdy Davis (University of New Mexico), Christopher M. Perfetti (University of New Mexico), Aaron J. Olson (Sandia National Laboratories), Ronald P. Kensek (Sandia National Laboratories), Brian C. Franke (Sandia National Laboratories)
Frequency Transform Method for Transient Analysis of Nuclear Reactors
Miriam A. Kreher (Massachusetts Institute of Technology), Samuel C. Shaner (Massachusetts Institute of Technology), Benoit Forget (Massachusetts Institute of Technology), Kord S. Smith (Massachusetts Institute of Technology)
Machine Learning in Probabilistic Risk Assessment and Management: A Review and Path Forward
Alp Tezbasaran (North Carolina State University), Mihai A. Diaconeasa (North Carolina State University)
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