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Conference Spotlight
2026 Nuclear Energy Conference & Expo (NECX)
August 24–27, 2026
Dallas, TX|Hilton Anatole
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August 2026
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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|Nonproliferation, Security, and Safeguards
Saturday, April 6, 2024|10:15–11:35AM EDT|Leonhard Building Room 102
Session Chair:
Aaron P. Fjeldsted (Penn State University)
Alternate Chair:
Chris Balbier (Penn State University)
Session Organizer:
Jonathan B. Balog (Penn State University)
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A History of Nuclear Treaties and Verification Methods
10:15–10:35AM EDT
Tanner Heatherly (Oregon State), Camille Palmer (Oregon State)
Paper
Nuclear Wargaming
10:35–10:55AM EDT
David Darlington (U.S. Military Academy), Tyler Erwin (U.S. Military Academy), Erick Lara (U.S. Military Academy), Michael O'Connor (U.S. Military Academy)
Laser-Driven X-Ray Source Array Design for Nuclear Weapons Effects Testing
10:55–11:15AM EDT
Roberto E. Lopez (U.S. Military Academy), Owen X. Koster (U.S. Military Academy), Joshua Santina (U.S. Military Academy), Ryan A. Brockington (U.S. Military Academy)
Predicting Compositions of Mixed-Type Simulated Nuclear Explosions from Fallout Activity Using Inverse Gaussian Process Regressor Modeling
11:15–11:35AM EDT
Ryan M. Mott (NCSU)
