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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
Utility Working Conference and Vendor Technology Expo (UWC 2024)
August 4–7, 2024
Marco Island, FL|JW Marriott Marco Island
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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Jun 2024
Jan 2024
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Nuclear Science and Engineering
August 2024
Nuclear Technology
July 2024
Fusion Science and Technology
Latest News
NRC engineers share their expertise at the University of Puerto Rico
Robert Roche-Rivera and Marcos Rolón-Acevedo are licensed professional engineers who work at the U.S. Nuclear Regulatory Commission. They are also alumni of the University of Puerto Rico–Mayagüez (UPRM) and have been sharing their knowledge and experience with students at their alma mater since last year, serving as adjunct professors in the university’s Department of Mechanical Engineering. During the 2023–2024 school year, they each taught two courses: Fundamentals of Nuclear Science and Engineering, and Nuclear Power Plant Engineering.
Technical Session|Panel|Panel Sessions|Special Topics
Wednesday, August 23, 2023|10:45AM–12:25PM EDT|Columbia 5-8
Session Chair:
Yang Liu
Session Organizer:
Alternate Chair:
Nam T. Dinh
In the past few years, reactor thermal-hydraulic (T-H) study has advanced with the support of machine learning (ML) in many aspects, including automated experimental data analysis, data-driven modeling, and uncertainty quantification. ML also showed promising potential to expand reactor T-H to a wider range of applications to better support advanced reactor deployment, such as digital twin. On the other hand, ML in T-H study has its unique challenges, from data availability and quality, model transparency and interpretability, to licensing readiness. In this panel session, experts from different institutes with a diverse background will share their experience and perspectives on ML for T-H study, including recent progresses, existing challenges and potential solutions, and future opportunities.
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Presentation Slides (Visible to Attendees) — Introduction
Presentation Slides (Visible to Attendees) — Cammi
Presentation Slides (Visible to Attendees) — Betancourt
Presentation Slides (Visible to Attendees) — Sidener
Presentation Slides (Visible to Attendees)
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