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Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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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X-energy receives federal tax credit for TRISO fuel facility
Advanced reactor company X-energy has been awarded $148.5 million in tax credits under the Inflation Reduction Act for construction of its TRISO-X fuel fabrication facility in Oak Ridge, Tenn.
J. V. Donnelly
Nuclear Science and Engineering | Volume 168 | Number 2 | June 2011 | Pages 180-184
Technical Note | doi.org/10.13182/NSE10-76
Articles are hosted by Taylor and Francis Online.
MCNP applies only nuclear data tabulated at specific temperatures and does not incorporate methods for general temperature interpolation of nuclear data. However, in models representing realistic power reactor cores, it is generally necessary to represent the distribution of fuel and coolant temperatures to reliably predict detailed power distributions and reactivity feedback effects. This paper describes methods that can be easily applied for the representation of cross-section data at general temperatures, based on interpolation through mixing of nuclide representations at multiple temperatures. The discrepancies due to the interpolations have been determined to be insignificant relative to the estimated uncertainties in typical calculated eigenvalues.