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Division Spotlight
Reactor Physics
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.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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January 2025
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Christmas Night
Twas the night before Christmas when all through the houseNo electrons were flowing through even my mouse.
All devices were plugged in by the chimney with careWith the hope that St. Nikola Tesla would share.
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)
To access the session recording, you must be logged in and registered for the meeting.
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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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