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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
2023 ANS Annual Meeting
June 11–14, 2023
Indianapolis, IN|Marriott Indianapolis Downtown
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
Fusion Science and Technology
Destruction of Ukrainian dam threatens Zaporizhzhia
A Soviet-era dam downstream from the Zaporizhzhia nuclear power plant in southeastern Ukraine collapsed last evening, causing the water level of the Kakhovka Reservoir north of the dam to drop and raising new concerns over the already jeopardized safety of the Russian-occupied nuclear facility, Europe’s largest. The reservoir supplies water for, among other things, Zaporizhzhia’s cooling systems.
Saturday, April 10, 2021|2:00–3:30PM EDT
Andy Rivas (NC State Univ.)
Edward Chen (NC State Univ.)
Grayson Gall (NC State Univ.)
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Expansion of the Monte Carlo Integrated Tiger Series Validation Suite
Rowdy Davis (University of New Mexico), Christopher M. Perfetti (University of New Mexico), Aaron J. Olson (Sandia National Laboratories), Ronald P. Kensek (Sandia National Laboratories), Brian C. Franke (Sandia National Laboratories)
Frequency Transform Method for Transient Analysis of Nuclear Reactors
Miriam A. Kreher (Massachusetts Institute of Technology), Samuel C. Shaner (Massachusetts Institute of Technology), Benoit Forget (Massachusetts Institute of Technology), Kord S. Smith (Massachusetts Institute of Technology)
Machine Learning in Probabilistic Risk Assessment and Management: A Review and Path Forward
Alp Tezbasaran (North Carolina State University), Mihai A. Diaconeasa (North Carolina State University)
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