ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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
Apr 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
May 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Los Alamos researchers test TRISO transportation
Los Alamos National Laboratory recently performed a series of customized criticality experiments to obtain data that will support the transportation of HALEU TRISO fuel, the Department of Energy announced April 21.
Technical Session
Wednesday, May 18, 2022|1:30–3:15PM EDT|Ellwood
Session Chair:
Ishita Trivedi
Session Organizer:
Alternate Chair:
Vefa N. Kucukboyaci
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Using Griffin's Transmutation Solver to Calculate Radiation Damage
Micah Gale (INL), Olin Calvin (INL), Sebastian Schunert (INL)
Paper
Monte Carlo Variance Reduction in MOOSE Stochastic Tools Module: Accelerating the Failure Analysis of Nuclear Reactor Technologies
Somayajulu L.N. Dhulipala (INL), Zachary M. Prince (INL), Andrew E. Slaughter (INL), Lynn B. Munday (INL), Wen Jiang (INL), Benjamin W. Spencer (INL), Jason D. Hales (INL)
Towards Multiphysics Simulations of Fusion Breeder Blankets
Helen Brooks (UKAEA), Stephen Dixon (UKAEA), Andrew Davis (UKAEA)
Spectrally-Resolved Electron Transport for Thermal Property Prediction
Jackson R. Harter (INL), Shuxiang Zhou (INL), Sebastian Schunert (INL), Andrea Jokisaari (INL), P. Alex Greaney (Univ. California, Riverside)
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