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Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
2020 ANS Virtual Winter Meeting
November 16–19, 2020
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 Week: the ANS local and student sections events
Nuclear Science Week (NSW) is a celebration designed to focus local, regional, national, and international interest on all aspects of nuclear science. National events marking the 11th annual NSW took place October 19–23 in Washington, D.C. This year’s theme was “Think Clean. Think Solutions. Think Nuclear.”
Several ANS local and student sections from around the world organized their own events to celebrate NSW, as follows:
Technical Session|Sponsored by MSTD
Thursday, June 11, 2020|9:00–10:45AM (10:00–11:45AM EDT)
Kenneth J. Geelhood
Kallie E. Metzger
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)
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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