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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
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
February 2025
Nuclear Technology
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Latest News
Argonne scientists use AI to detect hidden defects in stainless steel
Imagine you’re constructing a bridge or designing an airplane, and everything appears flawless on the outside. However, microscopic flaws beneath the surface could weaken the entire structure over time.
These hidden defects can be difficult to detect with traditional inspection methods, but a new technology developed by scientists at the U.S. Department of Energy’s Argonne National Laboratory is changing that. Using artificial intelligence and advanced imaging techniques, researchers have developed a method to reveal these tiny flaws before they become critical problems.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Wednesday, June 16, 2021|4:30–6:15PM EDT
Session Chair:
Brent Shumaker (Analysis and Measurement Services Corp)
Alternate Chair:
Jamie B. Coble (University of Tennessee-Knoxville)
Session Organizer:
Staff Producer:
Janet Davis (ANS)
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Physics-Based Automated Reasoning for Health Monitoring: Sensor Set Selection
R. Vilim (ANL), T. Nguyen (ANL), R. Ponciroli (ANL), H. Wang (ANL)
Paper
Reference
A Parallel Capability Using Genetic Algorithm for Sensor Assignment Optimization with Process-Constrained Data-Analytic Diagnosis
Yuxuan Liu (Univ. of Michigan), Brendan Kochunas (Univ. of Michigan), Tat Nghia Nguyen (ANL), Hubert Ley (ANL), Richard Vilim (ANL)
A Model-Based Symbolic Inference for Sensor Deployment Optimization for Fault Detection of the EBR-II Reactor
Xiaoxu Diao (The Ohio State Univ.), Pavan Kumar Vaddi (The Ohio State Univ.), Boyuan Li (The Ohio State Univ.), Wei Gao (The Ohio State Univ.), Carol Smidts (The Ohio State Univ.)
Physics-Informed Machine Learning-Aided System Space Discretization
Junyung Kim (Rensselaer Polytechnic Institute), Asad Ullah Amin Shah (Rensselaer Polytechnic Institute), Hyun Gook Kang (Rensselaer Polytechnic Institute), Xingang Zhao (ORNL)
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