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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 HFICD
Monday, November 10, 2025|3:15–5:00PM EST|Georgetown East
Session Chair:
Linyu Lin
Alternate Chair:
Jonghyun Kim
Session Organizer:
Vivek Agarwal
To access paper attachments, you must be logged in and registered for the meeting.
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A Visualization Platform For Autonomous Reactor Control
3:15–3:35PM EST
Taazhykan Kurumshieva (Purdue Univ.), Konstantinos Vasili (Purdue Univ.), Zachery Dahm (Purdue Univ.), Stylianos Chatzidakis (Purdue Univ.)
Paper
Control Under Uncertainty of a Thermal Energy Distribution System
3:35–3:55PM EST
Paul R. Seurin (INL), Linyu Lin (INL)
A Methodological Proposal for a Power Integrity Analysis of PCBs in NPPs
3:55–4:15PM EST
Hyunki Kim (Korea Hydro Nuclear Power Co.), Heetaek Lim (Korea Hydro Nuclear Power Co.), Dong-il Lee (Korea Hydro Nuclear Power Co.), Sungkon Kang (Korea Hydro Nuclear Power Co.)
Autonomous Aggressive Cooldown Control in Nuclear Power Plants Using Deep Reinforcement Learning
4:15–4:35PM EST
YooJoon Seoung (Ulsan National Institute of Science and Technology), Junyong Bae (Ulsan National Institute of Science & Technology), Seung Jun Lee (Ulsan National Institute of Science and Technology)
A Scenario-driven Automated Testing Framework for Plant Protection System
4:35–4:55PM EST
Kiyeon Lee (Korea Advanced Institute of Science and Technology (KAIST)), Tae Ryoun Kim (KAIST), Soonae Lee (Korea Hydro and Nuclear Power (KHNP)), Jonghyun Kim (Korea Advanced Institute of Science and Technology (KAIST))
