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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
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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Nuclear Science and Engineering
December 2025
Nuclear Technology
Fusion Science and Technology
November 2025
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Education and training to support Canadian nuclear workforce development
Along with several other nations, Canada has committed to net-zero emissions by 2050. Part of this plan is tripling nuclear generating capacity. As of 2025, the country has four operating nuclear generating stations with a total of 17 reactors, 16 of which are in the province of Ontario. The Independent Electricity System Operator has recommended that an additional 17,800 MWe of nuclear power be added to Ontario’s grid.
Technical Session|Sponsored by HFICD
Wednesday, November 18, 2020|4:50–6:30PM EST
Session Chair:
Brent D. Shumaker
Alternate Chair:
Katrina M. Groth
Session Organizer:
Jamie B. Coble
Staff Producer:
Rick Michal (American Nuclear Society)
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Integrated Operations for Nuclear - ION
Kenneth D. Thomas (Idaho National Laboratory), S. J. Remer (Remer Consulting)
Paper
On the Formalization of Development and Assessment Process for Digital Twins in the Nearly Autonomous Management and Control System
Nam T. Dinh (North Carolina State University), Han Bao (Idaho National Laboratory), Linyu Lin (North Carolina State University)
Development and Assessment of Physics-guided Machine Learning for Prognosis System
Nam T. Dinh (North Carolina State University), Linyu Lin (North Carolina State University), Anil Gurgen (North Carolina State University)
Quantitative Reasoning and Risk Assessment with Dynamic Bayesian Network
Junyung Kim (Rensselaer Polytechnic Institute), Hyun Gook Kang (Rensselaer Polytechnic Institute)
Equipping Machine Learning with Uncertainty Quantification to Update Probabilistic Risk Assessment of Nuclear Power Plants using NRC Licensee Event Reports
Zahra Mohaghegh (University of Illinois at Urbana-Champaign), Catherine Blake (University of Illinois at Urbana-Champaign), Seyed Reihani (University of Illinois at Urbana-Champaign), Justin Pence (University of Illinois at Urbana-Champaign), Tatsuya Sakurahara (University of Illinois at Urbana-Champaign), Pegah Farshadmanesh (University of Illinois at Urbana-Champaign), Jaemin Yang (University of Illinois at Urbana-Champaign)
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