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Division Spotlight
Nuclear Criticality Safety
NCSD provides communication among nuclear criticality safety professionals through the development of standards, the evolution of training methods and materials, the presentation of technical data and procedures, and the creation of specialty publications. In these ways, the division furthers the exchange of technical information on nuclear criticality safety with the ultimate goal of promoting the safe handling of fissionable materials outside reactors.
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!
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Apr 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
May 2025
Fusion Science and Technology
Latest News
EnergySolutions to help explore advanced reactor development in Utah
Utah-based waste management company EnergySolutions announced that it has signed a memorandum of understating with the Intermountain Power Agency and the state of Utah to explore the development of advanced nuclear power generation at the Intermountain Power Project (IPP) site near Delta, Utah.
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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