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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.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Latest News
Norway’s Halden reactor takes first step toward decommissioning
The government of Norway has granted the transfer of the Halden research reactor from the Institute for Energy Technology (IFE) to the state agency Norwegian Nuclear Decommissioning (NND). The 25-MWt Halden boiling water reactor operated from 1958 to 2018 and was used in the research of nuclear fuel, reactor internals, plant procedures and monitoring, and human factors.
Jim E. Morel, Anil Prinja, John M. McGhee, Todd A. Wareing, Brian C. Franke
Nuclear Science and Engineering | Volume 156 | Number 2 | June 2007 | Pages 154-163
Technical Paper | doi.org/10.13182/NSE07-A2693
Articles are hosted by Taylor and Francis Online.
A new Sn discretization of the angular Fokker-Planck operator used in three-dimensional calculations is derived for product quadrature sets. It is straightforward to define discretizations that preserve the null space and zeroth angular moment of the analytic operator and are self-adjoint, monotone, and nonpositive-definite. Our new discretization differs from more straightforward discretizations in that it also preserves the three first angular moments of the analytic operator when applied in conjunction with product quadrature sets constructed with Chebychev azimuthal quadrature. Otherwise, it preserves only two of the three first angular moments. Computational results are presented that demonstrate the superiority of this new discretization relative to a straightforward discretization. Two-dimensional versions of the new discretization are also given for x-y and r-z geometries.