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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Latest News
Excelsior University student section awarded community education grant
The American Nuclear Society Student Section at Excelsior University in Albany, N.Y., was awarded a $5,000 grant from the ANS Student Section Strategic Fund initiative for its program, Empowering Tomorrow’s Nuclear Innovators: A Collaborative Approach to Nuclear Technology Education and Awareness.
Jinzhao Zhang, Adrien Dethioux, Andriy Kovtonyuk, Christophe Schneidesch
Nuclear Technology | Volume 205 | Number 1 | January-February 2019 | Pages 140-152
Technical Paper | doi.org/10.1080/00295450.2018.1516055
Articles are hosted by Taylor and Francis Online.
In the framework of the Organisation for Economic Co-operation and Development/Nuclear Energy Agency PREMIUM [Post-BEMUSE (Best-Estimate Methods Uncertainty and Sensitivity Evaluation) REflood Model Input Uncertainty Methods] benchmark (2012–2015), Tractebel has contributed to the development and the proof-of-concept application of a sampling-based inverse uncertainty quantification (IUQ) approach with the DAKOTA statistical uncertainty and sensitivity analysis tool. This IUQ approach has been applied to quantify the RELAP5/MOD3.3 reflood-related model input uncertainties, based on selected reflood tests [FEBA (Flooding Experiments with Blocked Arrays) and PERICLES]. This paper presents the Tractebel IUQ approach as well as the results of applications to the PREMIUM benchmark. Lessons learned and perspectives for future development are also discussed.