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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
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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
Nov 2024
Jul 2024
Latest Journal Issues
Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
Japanese researchers test detection devices at West Valley
Two research scientists from Japan’s Kyoto University and Kochi University of Technology visited the West Valley Demonstration Project in western New York state earlier this fall to test their novel radiation detectors, the Department of Energy’s Office of Environmental Management announced on November 19.
Technical Session
Wednesday, May 18, 2022|1:30–3:15PM EDT|Pointview
Session Chair:
Benjamin S. Collins (U. of Texas)
Alternate Chair:
Benoit Forget (MIT)
Session Organizer:
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Predicting the Asymptotic State of Reactor Transients Using Supervised Learning
H. Tohver (Univ. Tartu), R. de Oliveira (National Institute of Chemical Physics and Biophysics), J. Pata (National Institute of Chemical Physics and Biophysics), M. Jeltsov (National Institute of Chemical Physics and Biophysics)
Paper
Evolution of Fuel Cycle Reload Safety Analysis with Machine Learning -- Illustration on the Rod Ejection Accident
R. Spaggiari (Framatome), M. Segond (Framatome), L. Lefebvre (Framatome)
Using Physics-Informed Neural Networks to Solve a System of Coupled Nonlinear ODEs for a Reactivity Insertion Accident
Alexandra Akins (NCSU), Xu Wu (NCSU)
Improving the Predictivity of a Steam Generator Clogging Numerical Model by Global Sensitivity Analysis and Bayesian Calibration Techniques
L. Lefebvre (Framatome), M. Segond (Framatome), R. Spaggiari (Framatome), L. Le Gratiet (EDF), E. Deri (EDF), B. Iooss (EDF), G. Damblin (CEA)
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