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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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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May 2025
Jan 2025
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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
Latest News
NWMO chooses vendors for Canadian repository
Canada’s Nuclear Waste Management Organization has selected five companies it is to work with to design and plan the organization’s proposed deep geologic repository for spent nuclear fuel. As the owner of the project, the NWMO will be working with WSP Canada, Peter Kiewit Sons (Kiewit), Hatch Ltd., Thyssen Mining Construction of Canada, and Kinectrics.
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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