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Conference Spotlight
2026 Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Standards Program
The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Nuclear Science and Engineering
December 2025
Nuclear Technology
November 2025
Fusion Science and Technology
Latest News
Mike Kramer: Navigating power deals in the new data economy
Mike Kramer has a background in finance, not engineering, but a combined 20 years at Exelon and Constellation and a key role in the deals that have Meta and Microsoft buying power from Constellation’s Clinton and Crane sites have made him something of a nuclear expert.
Kramer spoke with Nuclear News staff writer Susan Gallier in late August, just after a visit to Clinton in central Illinois to celebrate a power purchase agreement (PPA) with Meta that closed in June. As Constellation’s vice president for data economy strategy, Kramer was part of the deal-making—not just the celebration.
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
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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))
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