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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
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Nuclear Science and Engineering
May 2024
Nuclear Technology
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Latest News
DOE issues final RFQ for WIPP clean energy initiative
The Department of Energy’s Office of Environmental Management has issued a request for qualifications for interested parties and prospective offerors looking to enter into a realty agreement for carbon-pollution-free electricity (CFE) projects at the department’s Waste Isolation Pilot Plant site in southeastern New Mexico.
Technical Session|Sponsored by MSTD
Thursday, June 11, 2020|10:00–11:45AM EDT
Session Chair:
Kenneth J. Geelhood
Session Organizer:
Alternate Chair:
Kallie E. Metzger
Staff Producer:
Jay Bogardus (American Nuclear Society)
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Performance Analysis of Silicon Carbide Composite Clad Uranium Carbide Fuel during Reactivity Initiated Accident
Hangbok Choi (General Atomics), John Bolin (General Atomics)
Paper
Microstructural Analysis of the SiC Layer of Tristructural-Isotropic Particles in High-Temperature Steam Atmospheres
Katherine Montoya (Univ. of Texas, San Antonio), Brian A. Brigham (Univ. of Texas, San Antonio), Tyler J. Gerczak (ORNL), Elizabeth Sooby Wood (Univ. of Texas, San Antonio)
Using Machine Learning to Predict the Oxidation of Graphite
Cole Moczygemba (Univ. of Texas, San Antonio), Michael Geyer (Univ. of Texas, San Antonio), Amanda Fernandez (Univ. of Texas, San Antonio), Elizabeth Sooby (Univ. of Texas, San Antonio)
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