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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.
Executive Session|Panel|Executive Track
Tuesday, June 2, 2026|3:15–5:00PM MDT|Grand Ballroom 1
Artificial intelligence (AI) and generative AI (GenAI) are moving fast, and they’re set to reshape the nuclear industry. From smarter design and streamlined licensing to enhanced operations and safety, these tools offer powerful new possibilities across the nuclear lifecycle. But this isn’t about hype, it’s about judgment. Responsible adoption requires professionals who pair strong nuclear engineering fundamentals with the ability to question, validate, and thoughtfully apply AI in high-stakes environments. Just as important is an ethical mindset grounded in transparency, bias awareness, regulatory alignment, and unwavering human accountability in safety decisions. It’s about maintaining trust with engineers and with the public—trust that these tools will accelerate the nuclear industry towards meeting the moment while also maintaining the highest standards. This panel will explore what it takes to harness AI wisely to advance nuclear science and energy, highlighting the skills and partnerships needed to prepare the nuclear workforce for this new era.
Kathryn Huff
Nuclear Engineering and Engineering Physics Chair
Univ. Wisconsin, Madison
Katlyn Turner
Univ. Colorado, Boulder
Jordan Tyman
PG&E
Matthew Dennis
U.S. Nuclear Regulatory Commission
Peter Suyderhoud
Scientific Computing & AI Deputy Division Director
INL
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