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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.
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2027 ANS Winter Conference and Expo
October 31–November 4, 2027
Washington, DC|The Westin Washington, DC Downtown
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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 Technology
Fusion Science and Technology
November 2024
Latest News
Siting of Canadian repository gets support of tribal nation
Canada’s Nuclear Waste Management Organization (NWMO) announced that Wabigoon Lake Ojibway Nation has indicated its willingness to support moving forward to the next phase of the site selection process to host a deep geological repository for Canada’s spent nuclear fuel.
Sergey Y. Medvedev, Alexander A. Martynov, Maxim Y. Isaev, Ivan M. Balachenkov, Nikolai N. Bakharev, Yury V. Petrov, Wilfred A. Cooper
Fusion Science and Technology | Volume 78 | Number 7 | October 2022 | Pages 528-536
Technical Paper | doi.org/10.1080/15361055.2022.2066048
Articles are hosted by Taylor and Francis Online.
This paper presents the results of numerical modeling of the spatial structure and saturation of Alfvén eigenmodes in the GLOBUS-M spherical tokamak with the KINX and VENUS codes. Measurements with the multichannel Doppler backscattering reflectometry provided experimental evidence of the mode localization near the plasma boundary when excited by energetic particles during neutral beam injection heating. The numerical results suggest the Alfvén-sound eigenmode, in particular the beta-induced Alfvén acoustic eigenmode, as the candidate instability responsible for the observed localization pattern. The mode linear growth rates and nonlinear saturation levels are found to be highly sensitive to the parameters of the model.