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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!
Latest Magazine Issues
Jun 2024
Jan 2024
Latest Journal Issues
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|Sponsored by OPD
Wednesday, June 14, 2023|10:00–11:45AM EDT|Marriott 3
Session Chair:
Melanie Joseph (Studsvik Scandpower)
Alternate Chair:
Timothy M. Crook (Blue Wave AI Labs)
Session Organizer:
William N. Mann (ANL)
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Replacement of Legacy Analytical Codes at the Advanced Test Reactor
10:00–10:20AM EDT
Nathan Manwaring (INL)
Paper
Exploring the Viability of Trojan Attacks on Nuclear Machine Learning Models
10:20–10:40AM EDT
Kallie McLaren (Idaho State), Pedro Mena (Idaho State), Eric Hill (Idaho State), Emily Elzinga (Idaho State), Chris Spirito (INL), Leslie Kerby (Idaho State)
Verified Knowledge of Nuclear Power Plants Using the NCV Method
10:40–11:00AM EDT
Fred D. Lang (Exergetic Systems)
Reactor Power Monitoring Using Antineutrino Detectors
11:00–11:20AM EDT
Emma Houston (Univ. Tennessee, Knoxville), Sandra Bogetic (Univ. Tennessee, Knoxville)
Idaho National Laboratory Demonstrates Collaboration-First Approach to Net-Zero Carbon Emissions
11:20–11:40AM EDT
Jhansi Kandasamy (INL)
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