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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
Materials in Nuclear Energy Systems (MiNES 2023)
December 10–14, 2023
New Orleans, LA|New Orleans Marriott
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
Fusion Science and Technology
Reflections on Nuclear Science Week: Nuclear curiosity is on the rise
Recently I had the opportunity to be the American Nuclear Society’s boots on the ground when I traveled to San Diego during Nuclear Science Week. I got to meet dozens of members of the nuclear community, tour the San Onofre Nuclear Generating Station, attend a screening of Oliver Stone’s Nuclear Now, and listen to a lively panel discussion about the importance of nuclear energy for solving climate change. It was a fun and illuminating experience, and I left with the impression that, excitingly, nuclear curiosity is on the rise.
Wednesday, October 6, 2021|10:40AM–12:20PM EDT
Xu Wu (NC State Univ.)
Hany S. Abdel-Khalik (Purdue Univ.)
Khaldoon Al-Dawood (NC State Univ.)
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Impact of Covariances Estimation on Uncertainty Propagation in Reactor Core Simulations
Gregory Kyriakos Delipei (NC State Univ.), Kaiyue Zeng (NC State Univ.), Jason Hou (NC State Univ.)
Uncertainty Quantification Study of Fuel Rod Performance With FRAPCON/FRAPTRAN for the OECD/NEA LWR Uncertainty Analysis in Modelling Benchmark
G. Delipei (NC State Univ.), A. Abarca (NC State Univ.), M. Avramova (NC State Univ.), K. Ivanov (NC State Univ.)
High to Low Methodology for Gap Heat Transfer in an Uncertainty Quantification Framework for Depletion
J. Fustero (NC State Univ.), G. K. Delipei (NC State Univ.), A. Abarca (NC State Univ.), A. Bennett (Framatome), M. Avramova (NC State Univ.), K. Ivanov (NC State Univ.)
Inverse Uncertainty Quantification of a MOOSE-based Melt Pool Model for Additive Manufacturing
Ziyu Xie (NC State Univ.), Wen Jiang (INL), Congjian Wang (INL), Xu Wu (NC State Univ.)
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