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Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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
Fusion Science and Technology
Belgium’s nuclear phase-out policy claims second victim
Unit 2 at Tihange, one of Belgium’s two nuclear power plants, was permanently disconnected from the grid late on the evening (local time) of January 31, operator Engie Electrabel has announced.
The 1,008-MWe pressurized water reactor is the second unit in Belgium’s nuclear reactor fleet to be retired in accordance with the country’s 20-year-old law mandating a gradual phase-out of nuclear power. The first Belgian unit to be retired, Doel-3, a 1,006-MWe PWR, was shut down on September 23, 2022. Remaining in operation are Doel-1, -2, and -4 and Tihange-1 and -3.
Wednesday, May 18, 2022|1:30–3:15PM EDT|Pointview
Benjamin S. Collins (U. of Texas)
Benoit Forget (MIT)
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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)
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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