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
Thermal Hydraulics
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
Meeting Spotlight
2022 ANS Winter Meeting and Technology Expo
November 13–17, 2022
Phoenix, AZ|Arizona Grand Resort
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
Sep 2022
Jul 2022
Latest Journal Issues
Nuclear Science and Engineering
October 2022
Nuclear Technology
Fusion Science and Technology
Latest News
The DRUM program: Cataloging America’s abandoned uranium mines
Based on a review of U.S. Atomic Energy Commission (AEC) records and available data from numerous agencies, there are an estimated 4,225 mines across the country that provided uranium ore to the U.S. government for defense-related purposes between 1947 and 1970. To aid in the cleanup of these legacy uranium mines and establish a record of their locations and current conditions, the Defense-Related Uranium Mines (DRUM) program was established within the Department of Energy’s Office of Legacy Management (LM).
Technical Session|Sponsored by Mathematics & Computation
Saturday, April 16, 2022|8:00–9:30AM CDT|Honors Room
Sponsored by ANS Mathematics & Computation Division
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Machine Learning Classification for Safety Analysis of Nuclear Research Reactor Experiments
Roberto Fairhurst Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Summary
Evaluation of HYPRE Preconditioners for Use in Solving CMFD-Accelerated Neutron Diffusion Problems
Thomas Jayasankar (Univ. Michigan), Qicang Shen (Univ. Michigan), Brendan M. Kochunas (Univ. Michigan)
Statistical Surrogate for High-Fidelity Turbulent Channel Flow
Molly Ross (Kansas State), Hitesh Bindra (Kansas State)
Modelling of Hydrogen Adsorption and Diffusion in Graphite Using a Genetic Algorithm
Lorenzo Vergari (Univ. California, Berkeley), Amit Bhat (Univ. California, Berkeley), Raluca O. Scarlat (Univ. California, Berkeley)
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