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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|Sponsored by THD
Wednesday, November 12, 2025|1:00–2:45PM EST|Columbia 11
Session Chair:
Xingang Zhao
Alternate Chair:
Aidan Furlong
Session Organizers:
Subash Sharma
Xu Wu
To access paper attachments, you must be logged in and registered for the meeting.
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Visual-Acoustic Boiling Data Driven Machine Learning for Isotope Production
1:00–1:20PM EST
Pei-Hsun Huang (LANL), Jee Hyun Seong (Korea Advanced Institute of Science & Technology), Jonathan M. Castro-Aguilar (LANL), Ellen M. O'Brien (LANL), Christiaan E. Vermeulen (LANL)
Paper
A Physics-Informed Neural Network Approach for Reliable Surrogate Modeling for PWR LOOP Accidents
1:20–1:40PM EST
Fabiano Thulu (Young Members Group), Zeyun Wu (Virginia Commonwealth Univ.), Yunfei Zhao (University of Maryland at College Park)
Transformer-Based Deep-Learning Turbulence Modeling for Coarse-Mesh Reactor Simulations
1:40–2:00PM EST
Eric Cervi (ANL), Alexandre Millischer (ANL), Ling Zou (ANL), Rui Hu (ANL)
Development and Deployment of Hybrid ML Models for Critical Heat Flux Prediction in Annulus Geometries
2:00–2:20PM EST
Aidan J. Furlong (NCSU), Xingang Zhao (Univ. Tennessee, Knoxville), Robert K. Salko (ORNL), Xu Wu (NCSU)
Aggregation of Published Non-Uniform Axial Power Data for Phase II of the OECD/NEA AI/ML Critical Heat Flux Benchmark
2:20–2:40PM EST
Reece Bourisaw (Kansas State), Reid McCants (Kansas State), Jean-Marie Le Corre (Westinghouse Electric Co.), Anna Iskhakova (Kansas State), Arsen Iskhakov (Kansas State)
