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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
January 2025
Nuclear Technology
Fusion Science and Technology
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Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Tuesday, July 18, 2023|1:00–2:45PM EDT|301D
Session Chair:
Xingang Zhao
Alternate Chair:
Nancy J. Lybeck
Session Organizer:
Jamie B. Coble
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Generative Model for Sensor Fault Detection in Nuclear Power Plant Accidents
1:00–1:25PM EDT
Jeonghun Choi (Ulsan Nat'l Institute Science and Technology), Seung Jun Lee (Ulsan Nat'l Institute Science and Technology)
Paper
Bridging the Data-Model Gap for HRA: Creating Bayesian Networks from HRA Data
1:25–1:50PM EDT
Vincent Philip Paglioni (Univ. Maryland, College Park), Katrina M. Groth (Univ. Maryland, College Park)
Implementing Component Degradations into a Modelica Model of an iPWR System to Develop Health Monitoring Techniques
1:50–2:15PM EDT
David Anderson (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Models Integrated in Instrumentation and Control Systems
2:15–2:40PM EDT
Edward Chen (NCSU), Han Bao (INL), Nam Dinh (NCSU)
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