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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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2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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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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Latest News
Japanese researchers test detection devices at West Valley
Two research scientists from Japan’s Kyoto University and Kochi University of Technology visited the West Valley Demonstration Project in western New York state earlier this fall to test their novel radiation detectors, the Department of Energy’s Office of Environmental Management announced on November 19.
N. Odry, J.-J. Lautard, J.-F. Vidal, G. Rimpault
Nuclear Science and Engineering | Volume 187 | Number 3 | September 2017 | Pages 240-253
Technical Paper | doi.org/10.1080/00295639.2017.1320891
Articles are hosted by Taylor and Francis Online.
An iterative domain decomposition method (DDM) is implemented inside the APOLLO3 Sn transport core solver MINARET. Based on a block-Jacobi algorithm, the method inherently suffers a convergence penalty in terms of both computing time and number of iterations. An acceleration method has to be developed in order to overcome this difficulty. This paper investigates a nonlinear coarse mesh rebalance (CMR) method that favors the way information propagates through the core when domain decomposition is used. The fundamental idea involves updating each subdomain boundary condition thanks to a core-sized low-order calculation on a coarse spatial mesh. The numerical convergence is sped up. Performances are meeting the expectations since the CMR acceleration systematically succeeds in overbalancing the domain decomposition additional cost. The aim of such a DDM + CMR algorithm is eventually to introduce more parallelism when solving the spatial transport equation. Nevertheless, parallel computing is not addressed in this paper.