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Young Members Group
The Young Members Group works to encourage and enable all young professional members to be actively involved in the efforts and endeavors of the Society at all levels (Professional Divisions, ANS Governance, Local Sections, etc.) as they transition from the role of a student to the role of a professional. It sponsors non-technical workshops and meetings that provide professional development and networking opportunities for young professionals, collaborates with other Divisions and Groups in developing technical and non-technical content for topical and national meetings, encourages its members to participate in the activities of the Groups and Divisions that are closely related to their professional interests as well as in their local sections, introduces young members to the rules and governance structure of the Society, and nominates young professionals for awards and leadership opportunities available to members.
2021 ANS Winter Meeting and Technology Expo
November 30–December 3, 2021
Washington, DC|Washington Hilton
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Results of advanced nuclear survey released
The U.S. Nuclear Industry Council has released the results of its 2021 Advanced Nuclear Survey.
The results, issued late last month, include information from 17 USNIC-member advanced nuclear developers on topics such as federal and state policies, types of reactors in development, U.S./Canadian licensing, need for control room operators, Nuclear Regulatory Commission fees, Department of Energy programs, and high-assay low-enriched uranium (HALEU). In addition, 24 companies (the 17 member firms plus seven nonmember firms) provided their perspectives on the NRC’s planned 10 CFR Part 53 regulation of advanced reactors.
Wednesday, October 6, 2021|9:40–11:20AM (10:40AM–12:20PM EDT)|Salon B
Xu Wu (NC State Univ.)
Hany S. Abdel-Khalik (Purdue 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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