ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
Utility Working Conference and Vendor Technology Expo
August 8–11, 2021
Marco Island, FL|JW Marriott Marco Island
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
DOE puts $9.35 million toward high-energy-density plasma research
The Department of Energy’s Office of Science (DOE-SC) and the National Nuclear Security Administration (NNSA) on July 27 announced $9.35 million for 21 research projects in high-energy-density laboratory plasmas. High-energy-density (HED) plasma research, originally developed to support the U.S. nuclear weapons program, has applications in astrophysics, fusion power plant development, medicine, nuclear and particle physics, and radioisotope production.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session|Sponsored by Instrumentation and Controls
Wednesday, June 16, 2021|3:30–5:15PM (4:30–6:15PM EDT)|Room 5
Jamie B. Coble
Ashley Jiminian (ANS)
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Detecting Fire with Machine Learning-Enabled Visual Monitoring for Nuclear Power Plant Environments
L. Michael Griffel (INL), Brian Wilcken (INL), Ahmad Al Rashdan (INL), Roger Boza (INL)
Sensor Degradation Detection Using Visual Timeseries and Deep Convolutional Neural Networks
C. J. Wallace (Univ. of Strathclyde), S.D.J. McArthur (Univ. of Strathclyde)
Monitoring of Thermal Mixing Tee Sensors with LSTM Neural Networks
Victoria Ankel (ANL), Stella Pantopoulou (ANL), Matthew Weathered (ANL), Darius Lisowski (ANL), Anthonie Cilliers (Kairos Power), Alexander Heifetz (ANL)
Object Detection in a Framework for Automated Nuclear Waste Classification
Seonaid Hume (Univ. of Strathclyde), Gordon Dobie (Univ. of Strathclyde), Graeme West (Univ. of Strathclyde)
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