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Division Spotlight
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.
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!
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Nov 2024
Jul 2024
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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|Sponsored by MCD
Wednesday, June 15, 2022|1:00–2:45PM PDT|Avila B
Session Chair:
Madicken Munk (Univ. Illinois, Urbana-Champaign)
Alternate Chair:
Alex Robinson (LLNL)
Session Organizer:
Brian C. Kiedrowski (Univ. Michigan)
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Why is Uncertainty Quantification Hard for Industrial Users?
Graham Macpherson (Frazer-Nash Consultancy), Neil Headings (Frazer-Nash Consultancy)
Paper
Numerical Investigation on the Performance of a Variance Deconvolution Estimator
Kayla Clements (Oregon State ), Gianluca Geraci (Sandia), Aaron Olson (Sandia)
Quantification of Deep Neural Networks Approximation Uncertainties for Transient Simulations
Mahmoud Yaseen (NCSU), Xu Wu (NCSU)
Analysis of Nuclear Research Reactor Experiments Using Machine Learning
Roberto E. Fairhurst-Agosta (Univ. Illinois, Urbana-Champaign), Tomasz Kozlowski (Univ. Illinois, Urbana-Champaign)
Data Augmentation with Generative Adversarial Networks
Farah Alsafadi (NCSU), Xu Wu (NCSU)
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