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Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
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!
Latest Magazine Issues
Feb 2025
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
March 2025
Nuclear Technology
Fusion Science and Technology
February 2025
Latest News
Colin Judge: Testing structural materials in Idaho’s newest hot cell facility
Idaho National Laboratory’s newest facility—the Sample Preparation Laboratory (SPL)—sits across the road from the Hot Fuel Examination Facility (HFEF), which started operating in 1975. SPL will host the first new hot cells at INL’s Materials and Fuels Complex (MFC) in 50 years, giving INL researchers and partners new flexibility to test the structural properties of irradiated materials fresh from the Advanced Test Reactor (ATR) or from a partner’s facility.
Materials meant to withstand extreme conditions in fission or fusion power plants must be tested under similar conditions and pushed past their breaking points so performance and limitations can be understood and improved. Once irradiated, materials samples can be cut down to size in SPL and packaged for testing in other facilities at INL or other national laboratories, commercial labs, or universities. But they can also be subjected to extreme thermal or corrosive conditions and mechanical testing right in SPL, explains Colin Judge, who, as INL’s division director for nuclear materials performance, oversees SPL and other facilities at the MFC.
SPL won’t go “hot” until January 2026, but Judge spoke with NN staff writer Susan Gallier about its capabilities as his team was moving instruments into the new facility.
Technical Session|Sponsored by HFICD
Tuesday, November 19, 2024|3:15–5:00PM EST|Anemone
Session Chair:
Chaitee M. Godbole
Alternate Chair:
Stylianos Chatzidakis
Session Organizer:
Xingang Zhao
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A Machine Learning Methodology for Fault Detection for Online Monitoring of Reactor Coolant Pumps
3:15–3:35PM EST
Chaitee Milind Godbole (INL), Vaibhav Yadav (INL), Vivek Agarwal (INL)
Paper
Bridging the Gap Between Prognostics and Maintenance Decision-Making of Critical Assets in Nuclear Power Plants
3:35–3:55PM EST
Zihan Li (Univ. Florida), Minhee Kim (Univ. Florida)
Anomaly Detection in Temperature Measurements of Liquid Sodium Heater Zones Using an LSTM Autoencoder
3:55–4:15PM EST
Maria Pantopoulou (Purdue Univ.), Derek Kultgen (ANL), Konstantinos Prantikos (Purdue Univ.), Lefteri Tsoukalas (Purdue Univ.), Alexander Heifetz (ANL)
Design, Construction, and Plans for the FISHtank: A Physical Testbed for Health Monitoring and Controls Research
4:15–4:35PM EST
David Anderson (Univ. Tennessee, Knoxville), Avery Bateman (Univ. Tennessee, Knoxville), Xingang Zhao (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Residual Error Time-Series Forecasting for Anomaly Detection in Nuclear Reactor Data
4:35–4:55PM EST
Zachery Dahm (Purdue Univ.), William Richards (Purdue Univ.), Konstantinos Vasili (Purdue Univ.), Vasileos Theos (Purdue Univ.), Konstantinos Gkouliaras (Purdue Univ.), Stylianos Chatzidakis (Purdue Univ.)
AI Powered Nuclear Reactor Core Instrumentation Diagnostics
4:55–5:15PM EST
M. Berardi (Blue Wave AI Labs), G.J. Mendis (Blue Wave AI Labs), M.J. Mueterthies (Blue Wave AI Labs), A. Tunga (Blue Wave AI Labs), J. Heim (Blue Wave AI Labs), J.T. Gruenwald (Blue Wave AI Labs), J. Nistor (Blue Wave AI Labs), A. Kankkunen (Blue Wave AI Labs)
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