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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!
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Nuclear Science and Engineering
June 2025
Nuclear Technology
May 2025
Fusion Science and Technology
Latest News
Sam Altman steps down as Oklo board chair
Advanced nuclear company Oklo Inc. has new leadership for its board of directors as billionaire Sam Altman is stepping down from the position he has held since 2015. The move is meant to open new partnership opportunities with OpenAI, where Altman is CEO, and other artificial intelligence companies.
Technical Session
Wednesday, October 6, 2021|1:20–3:00PM EDT
Session Chair:
Patrick Brantley (LLNL)
Session Organizer:
Ryan G. McClarren (University of Notre Dame)
Student Producer:
Joseph Fustero (NC State Univ.)
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Advanced Transient Diagnostic with Ensemble Digital Twin Modeling
1:20–1:45PM EDT
Edward Chen (NC State Univ.), Linyu Lin (NC State Univ.), Nam T. Dinh (NC State Univ.)
Paper
Integration of Neural Networks With Numerical Solution of PDEs to Uncover Hidden Physics
1:45–2:10PM EDT
A.S. Iskhakov (NC State Univ.), N. T. Dinh (NC State Univ.)
Application of Deep Learning Networks to Surrogate Modeling of Crud Deposition
2:10–2:35PM EDT
B. Andersen (NC State Univ.), A. Godfrey (ORNL), J. Hou (NC State Univ.), D. Kropaczek (ORNL)
A Multi-Level Feature Extraction and Denoising Approach to Detect Subtle Variations in Industrial Control Systems
2:35–3:00PM EDT
Arvind Sundaram (Purdue Univ.), Yeni Li (Purdue Univ.), Hany S. Abdel Khalik (Purdue Univ.)
Presentation Video (Visible to Attendees)
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