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Division Spotlight
Isotopes & Radiation
Members are devoted to applying nuclear science and engineering technologies involving isotopes, radiation applications, and associated equipment in scientific research, development, and industrial processes. Their interests lie primarily in education, industrial uses, biology, medicine, and health physics. Division committees include Analytical Applications of Isotopes and Radiation, Biology and Medicine, Radiation Applications, Radiation Sources and Detection, and Thermal Power Sources.
Meeting Spotlight
2022 ANS Annual Meeting
June 12–16, 2022
Anaheim, CA|Anaheim Hilton
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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May 2022
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Nuclear Science and Engineering
June 2022
Nuclear Technology
Fusion Science and Technology
Latest News
Cost drivers of nuclear steam cycle construction
Interest in reducing carbon emissions around the world continues to climb. As a complement to the increasing deployment of variably generating renewables, advanced nuclear is commonly shown in net-zero grid modeling for 2050 because it represents firm electricity production that can flex in output with load demands.1 However, these projections are challenged by the high levelized cost of electricity associated with legacy nuclear construction, which is often more than double that of modern combined-cycle gas turbine (CCGT) plants.
12th Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies (NPIC&HMIT 2021)
Technical Session
Wednesday, June 16, 2021|3:30–5:15PM (4:30–6:15PM EDT)
Session Chair:
Gyunyoung Heo
Alternate Chair:
Jamie B. Coble
Session Organizer:
Staff Producer:
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)
Summary
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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