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Division Spotlight
Mathematics & Computation
Division members promote the advancement of mathematical and computational methods for solving problems arising in all disciplines encompassed by the Society. They place particular emphasis on numerical techniques for efficient computer applications to aid in the dissemination, integration, and proper use of computer codes, including preparation of computational benchmark and development of standards for computing practices, and to encourage the development on new computer codes and broaden their use.
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
July 2022
Fusion Science and Technology
Latest News
Majority of Americans favor new nuclear plants
Pollster Scott Rasmussen reports that 53 percent of American voters support the construction of new nuclear power plants in the United States, while 31 percent oppose new plants. He further reports that 21 percent strongly favor and 14 percent strongly oppose new nuclear facilities.
Technical Session|Sponsored by THD
Wednesday, December 1, 2021|3:20–4:45PM (4:20–5:45PM EST)|Columbia 10
Session Chair:
Lane Carasik (Virginia Commonwealth Univ.)
Alternate Chair:
Ralph Wiser (MIT)
Session Organizer:
Dillon R. Shaver
Student Assistant:
Ethan Krammer
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LOFWOS Simulations of the FFTF Using SAM
3:25–3:45PM (4:25–4:45PM EST)
Brent Hollrah (Texas A&M Univ.), Rodolfo Vaghetto (Texas A&M Univ.), Yassin Hassan (Texas A&M Univ.)
Summary
Reactor Cavity Cooling System Computational Fluid Dynamic Analysis
3:45–4:05PM (4:45–5:05PM EST)
Michael Gorman (TAMU), Enver I. Koyluoglu (TAMU), Rodolfo Vaghetto (TAMU), Yassin A. Hassan (TAMU)
Machine Learning Approach for Prediction of High-Resolution Quenching Heat Transfer
4:05–4:25PM (5:05–5:25PM EST)
Kyung Mo Kim (Virginia Polytechnic Institute and State Univ.), Paul Hurley (Virginia Polytechnic Institute and State Univ.), Juliana Pacheco Duarte (Virginia Polytechnic Institute and State Univ.)
Analysis of a Sensitivity on the Initial RCS Conditions in the Major Non-LOCA Accidents
4:25–4:45PM (5:25–5:45PM EST)
Ilsuk Lee (Korea Institute of Nuclear Safety), Sarah Kang (Korea Institute of Nuclear Safety)
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