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Division Spotlight
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.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Latest News
ANS standard updated for determining meteorological information at nuclear facilities
Following approval in October from the American National Standards Institute, ANSI/ANS-3.11-2024, Determining Meteorological Information at Nuclear Facilities, was published in late November. This standard provides criteria for gathering, assembling, processing, storing, and disseminating meteorological information at commercial nuclear power plants, U.S. Department of Energy/National Nuclear Security Administration nuclear facilities, and other national or international nuclear facilities.
Lei Zhu, Jim E. Morel
Nuclear Science and Engineering | Volume 164 | Number 3 | March 2010 | Pages 205-220
Technical Paper | doi.org/10.13182/NSE08-67
Articles are hosted by Taylor and Francis Online.
We derive three new linear-discontinuous least-squares discretizations for the Sn equations in one-dimensional slab geometry. Standard least-squares methods are not compatible with discontinuous trial spaces, and they are also generally not conservative. Our new methods are unique in that they are based upon a least-squares minimization principle, use a discontinuous trial space, are conservative, and retain the structure of standard Sn spatial discretization schemes. To our knowledge, conservative least-squares spatial discretization schemes have not previously been developed for the Sn equations. We compare our new methods both theoretically and numerically to the linear-discontinuous Galerkin method and the lumped linear-discontinuous Galerkin method. We find that one of our schemes is clearly superior to the other two and offers certain advantages over both of the Galerkin schemes.