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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|Thermal Hydraulics (THD)
Wednesday, June 3, 2026|8:00–9:45AM MDT|Governor's Square 11
Session Chair:
Subash Sharma
Alternate Chair:
Akshay Kumar Khandelwal
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Development of a Hybrid Simulation Framework for CRUD Source Term Prediction in PWRs using Multi-physics and Data-driven Approaches
8:00–8:20AM MDT
DONGMIN KIM (Seoul National University)
Paper
Enabling Real-Time Thermal-Hydraulics Prediction in Virtual Small Modular Reactors through Deep Operator Network
8:20–8:40AM MDT
Minseo Lee (Pohang University of Science and Technology), Seongmin Oh (Department of Quantum System Engineering, Jeonbuk National University), Bumjin Cho, Chaehyeon Song, Minseop Song (Hanyang University), Joongoo Jeon (Pohang University of Science and Technology)
Development of deep-learning system-level digital twins of nuclear power plants using transformers
8:40–9:00AM MDT
Eric Cervi (ANL), Alexandre Millischer (ANL), Jaeseok Heo (ANL), Ling Zou (ANL), Rui Hu (ANL)
Transformer-Proper Orthogonal Decomposition Hybrid Framework for Transient Classification and Attribution Analysis in Diagnostic Digital Twin Development
9:00–9:20AM MDT
Jaeseok Heo (ANL), Eric Cervi (ANL), Travis Mui (ANL), Rui Hu (ANL)
