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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver Downtown
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
June 2025
Nuclear Technology
May 2025
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Latest News
Lisa Marshall discusses the future of nuclear education
ANS President Lisa Marshall recently sat down with Phil Zeringue, vice president of strategic partnerships at Nuclearn.ai to talk about the evolving state of education in the nuclear world.
13th Nuclear Plant Instrumentation, Control & Human-Machine Interface Technologies (NPIC&HMIT 2023)
Technical Session
Tuesday, July 18, 2023|1:00–2:45PM EDT|301B
Session Chair:
Cody Walker
Alternate Chair:
Vivek Agarwal
Session Organizer:
Jamie B. Coble
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Remaining Useful Life Prediction of Filters in Nuclear Power Plants
1:00–1:25PM EDT
A. Young (Univ. Strathclyde), M. Devereux (Univ. Strathclyde), B. Brown (Univ. Strathclyde), B. Stephen (Univ. Strathclyde), G. West (Univ. Strathclyde), S. McArthur (Univ. Strathclyde)
Paper
AI Enabled Neutron Flux Measurement and Virtual Calibration in Boiling Water Reactors
1:25–1:50PM EDT
A. Tunga (Blue Wave AI Labs), J. Heim (Blue Wave AI Labs), M. Mueterthies (Blue Wave AI Labs), J. Thomas Gruenwald (Blue Wave AI Labs), J. Nistor (Blue Wave AI Labs)
Prediction of Safety-Related Process Variables for Nuclear Power Plants Using Progressive Layered Extraction
1:50–2:15PM EDT
Hye Seon Jo (Chosun Univ.), Min Seon Kim (Chosun Univ.), Man Gyun Na (Chosun Univ.)
Thermal Fluids Field Reconstruction with Bayesian Inference for Forced Convection System
2:15–2:40PM EDT
Haeseong Kim (MIT), Sacit Cetiner (INL), Matteo Bucci (MIT)
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