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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.
Meeting Spotlight
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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Mar 2024
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Nuclear Science and Engineering
April 2024
Nuclear Technology
Fusion Science and Technology
February 2024
Latest News
Direct waste transfer process quickens at Savannah River Site
The Department of Energy Office of Environmental Management’s liquid waste contractor at the Savannah River Site this month marked the first direct transfer of decontaminated waste from the Salt Waste Processing Facility (SWPF) to the Saltstone Production Facility (SPF). This is a new step in optimizing waste processing, according to the DOE.
Technical Session|Sponsored by HFICD
Monday, June 13, 2022|3:15–5:00PM PDT|El Capitan B
Session Chair:
Vivek Agarwal (INL)
Alternate Chair:
Fan Zhang
Session Organizer:
Jamie B. Coble (University of Tennessee-Knoxville)
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Root Cause Analysis for Condition Monitoring Using Bayesian Networks
Abhimanyu Kapuria (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Paper
Digital Twin Reliability Diagnostics for SC-HTGR Using Metroscope
Sean Kolesar (Framatome), Todd Matthews (Framatome), Pascal Brocheny (Framatome)
Toward Health Management of Active Components During Operational Transients in SMRs
Matthew Scott (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Operations and Maintenance Decision-Making with Dynamic Bayesian Networks and Monte Carlo Tree Search
Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Mitigating Risks for Nuclear Power Plant Supply Chains Using Particle Filters and Bayesian Networks
Robert S. Lois (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
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