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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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!
Latest Magazine Issues
Feb 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
U.S. may help bring nuclear energy to El Salvador
Officials from the United States and the Republic of El Salvador signed a memorandum of understanding Monday, agreeing to cooperate on strategic civil nuclear development.
In one of his first acts in office, U.S. secretary of state Marco Rubio signed the MOU with El Salvadoran foreign minister Alexandra Hill Tinoco during his recent visit.
Technical Session|Verification, Validation and Uncertainty Quantification
Thursday, August 24, 2023|9:00–10:20AM EDT|Gunston East/West
Session Chair:
Jinzhao Zhang (Tractebel)
Alternate Chair:
Alberto Ghione (CEA)
Session Organizer:
Track Organizer:
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Propagation of Uncertainties Based on Statistical Methodology for the Loss of Flow WithOut Scram Transient of the Fast Flux Test Facility
9:00–9:20AM EDT
Simon Li (CEA), Georis Billo (CEA), Amandine Marrel (CEA)
Paper
Uncertainty Quantification of Deep Neural Network Predictions for Time-Dependent Responses with Functional PCA
9:20–9:40AM EDT
Mahmoud Yaseen (NCSU), Ziyu Xie (NCSU), Xu Wu (NCSU)
Application of SAPIUM Guidelines to Input Uncertainty Quantification: The ATRIUM Project
9:40–10:00AM EDT
A. Ghione (CEA), L. Sargentini (CEA), G. Damblin (CEA), P. Fillion (CEA), J. Baccou (IRSN), R. Sueur (EDF R&D), B. Iooss (EDF R&D), A. Petruzzi (NINE), K. Zeng (NINE), J. Zhang (Tractebel ENGIE), R. Mendizábal (CSN), T. Skorek (GRS), X. Wu (NCSU), J. Freixa (Univ. Politècnica Catalunya), M. Adorni (OECD NEA)
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