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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
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
Jul 2024
Jan 2024
Latest Journal Issues
Nuclear Science and Engineering
August 2024
Nuclear Technology
Fusion Science and Technology
Latest News
ARPA-E announces $40 million to develop transmutation technologies for UNF
The Department of Energy’s Advanced Research Projects Agency–Energy (ARPA-E) announced $40 million in funding to develop cutting-edge technologies to enable the transmutation of used nuclear fuel into less-radioactive substances. According to ARPA-E, the new initiative addresses one of the agency’s core goals as outlined by Congress: to provide transformative solutions to improve the management, cleanup, and disposal of radioactive waste and spent nuclear fuel.
2024 International Congress on Advances in Nuclear Power Plants (ICAPP)
Technical Session|Operation, Performance and Reliability Management
Wednesday, June 19, 2024|1:00–2:45PM PDT|Palm D
Session Chair:
Melanie Joseph (Studsvik)
Session Organizers:
Chad J. Boyer (EPRI)
Track Organizers:
Alternate Chair:
Temi Adeyeye (TerraPower)
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Physics Constrained Reinforcement Learning for Improved Control of Transient Maneuvers in Nuclear Power Plants
1:00–1:20PM PDT
Aidan Rigby (Univ. Wisconsin, Madison), Michael J. Wagner (Univ. Wisconsin, Madison), Daniel Mikkelson (INL), Ben Lindley (Univ. Wisconsin, Madison)
Paper
Statistical and Neural Network for Real Sensor-Data-Driven Anomaly Detection in Nuclear Applications
1:20–1:40PM PDT
Imtiaz Nasim (INL), Vivek Agarwal (INL), Joshua E. Daw (INL), Mingyue Ji (Univ. Utah), Sneha Kasera Kumar (Univ. Utah)
Presentation Slides (Visible to Attendees) — Presentation ppt file Imtiaz
Physics-Based Machine Learning Framework for Inferring Remaining Useful Life of Feedwater Heaters
1:40–2:00PM PDT
Yeni Li (ANL), Akshay J. Dave (ANL), Richard B. Vilim (ANL)
Using Generative AI to Implement the Discrepancy Checker for a Nearly Autonomous Management and Control System for Advanced Reactors
2:00–2:20PM PDT
Paridhi Athe (NCSU), Linyu Lin (INL), Nam Dinh (NCSU)
Digital-Twin-Enabling Technologies for Online Condition Monitoring of Nuclear Power Plant Components
2:20–2:40PM PDT
Edward Chen (INL), Vaibhav Yadav (INL), Vivek Agarwal (INL)
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