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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|Human Factors, Instrumentation, and Controls (HFICD)
Wednesday, June 3, 2026|10:00–11:45AM MDT|Plaza Court 4/5
Session Chair:
Kyle M. Warns (Rensselaer Polytechnic Institute)
Alternate Chair:
Hyun Gook Kang (Rensselaer Polytechnic Institute)
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Graph Neural Operators Towards Foundation Models for Geometry-Aware, Large-Scale Physical AI in Digital Twins
10:00–10:20AM MDT
William I. Howes (Univ. Illinois, Urbana-Champaign), Kazuma Kobayashi (Univ. Illinois, Urbana-Champaign), Syed Bahauddin Alam (Univ. Illinois, Urbana-Champaign), Farid Ahmed (Univ. Illinois, Urbana-Champaign), Souvik Chakraborty (Department of Applied Mechanics Yardi School of Artificial Intelligence Indian Institute of Technology Delhi), Subhankar Sarkar (Yardi School of Artificial Intelligence Indian Institute of Technology Delhi)
Paper
Nuclear AI Meets Reality: Benchmark Validation and Production ROI
10:20–10:40AM MDT
Theresa Clark, Kevin Kong, Matt Huang
From Algorithms to Asset Performance: Measuring the Value of AI in Nuclear Energy
10:40–11:00AM MDT
Sam O. Rieck (Raisun Technology Services (RTS))
A Review of the Development and Regulatory Status of Artificial Intelligence Technologies for Nuclear Power in Korea
11:00–11:20AM MDT
Sihyeong Yu, Jeesuk Shin, Joongoo Jeon (Pohang University of Science and Technology)
