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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|Sponsored by MCD
Tuesday, November 17, 2020|4:50–6:30PM EST
Session Chair:
Robert E. Grove
Alternate Chair:
Steven P. Hamilton
Session Organizer:
Brian C. Kiedrowski
Staff Producer:
Ashley Jiminian (American Nuclear Society)
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Efficient implementation of 3D Multi-group Neutron Diffusion with Multi-Level CMFD acceleration
Shunjiang Tao (Purdue University), Yunlin Xu (Purdue University)
Paper
Particle Tracking Optimization for Boolean Solids in JCOGIN
Xin Wang (Institute of Applied Physics and Computational Mathematics), Wei Wang (Institute of Applied Physics and Computational Mathematics), Baoyin Zhang (Institute of Applied Physics and Computational Mathematics), Li Deng (Institute of Applied Physics and Computational Mathematics), Peng Liu (Institute of Applied Physics and Computational Mathematics)
Presentation Video (Visible to Attendees)
Monte Carlo Acceleration Techniques Applied in Well Logging Radiation Detection
Qiong Zhang (University of Electronic Science and Technology of China), Yulian Li (UESTC)