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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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Center for Used Fuel Research: Building confidence in storage and transport
Used nuclear fuel storage and transportation have reached a critical juncture.
Dozens of utilities need reliable data on how used nuclear fuel performs in dry storage casks and canisters to extend regulatory licenses at sites across the United States. Likewise, the Department of Energy expects to take ownership of the used nuclear fuel—termed “spent nuclear fuel” in the laws and regulations governing its stewardship—and transfer it to one or more federal staging facilities for management and disposition.
Meanwhile, dozens of reactor companies are testing prototypes of advanced reactors and advanced reactor fuels. Eventually, regulators and industry must also verify the safety and security of storage methods for these advanced fuel types.
To help address these challenges, the DOE established the Center for Used Fuel Research (CUFR) in January 2026 for work related to the long-term storage and transport of used nuclear fuel.
Technical Session|Special Topics
Thursday, August 24, 2023|10:45AM–12:25PM EDT|Columbia 3/4
Session Chair:
Majdi I. Radaideh
Alternate Chair:
Han Bao
Session Organizer:
Kurshad Muftuoglu
To access paper attachments, you must be logged in and registered for the meeting.
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Deep Learning Based Thermal Performance Optimization for the Liquid Metal Heat Pipe
10:45–11:05AM EDT
Ik Jae Jin (Ulsan Nat'l Institute Science and Technology), In Cheol Bang (Ulsan Nat'l Institute Science and Technology)
Paper
Coarse-Grid Data-Driven Navier-Stokes / Interface Capturing Model Development for Engineering-Scale Simulations
11:05–11:25AM EDT
Anna Iskhakova (NCSU), Arsen S. Iskhakov (NCSU), Yoshiyuki Kondo (Mitsubishi Heavy Industries), Koichi Tanimoto (Mitsubishi Heavy Industries), Nam T. Dinh (NCSU), Igor A. Bolotnov (NCSU)
Multi-Objective Optimization of Fractal-Tree Microchannels for Printed Circuit Heat Exchangers by Improved Genetic Algorithms
11:25–11:45AM EDT
Fan Yu (Helmholtz-Zentrum Dresden-Rossendorf), Wei Ding (Helmholtz-Zentrum Dresden-Rossendor), Sebastian Unger (Helmholtz-Zentrum Dresden-Rossendorf), Xiaoping Luo (South China Univ. Technology), Uwe Hampel (Helmholtz-Zentrum Dresden-Rossendorf)
Machine Learning Anomaly Data Detection and Accident Diagnosis Methodology Using MARS-KS Design Basis Event Analysis Database of APR1400 Nuclear Power Plant
11:45AM–12:05PM EDT
J.Y. Lee (Environment & Energy Technology), S.M. Park (Environment & Energy Technology), Y.K. Kwack (Environment & Energy Technology), Y.S. Kim (Environment & Energy Technology), N.H. Hoang (Environment & Energy Technology), S.K. Sim (Environment & Energy Technology)
