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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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
World Bank, IAEA partner to fund nuclear energy
The World Bank and the International Atomic Energy Agency signed an agreement last week to cooperate on the construction and financing of advanced nuclear projects in developing countries, marking the first partnership since the bank ended its ban on funding for nuclear energy projects.
Rodolfo M. Ferrer, Joshua M. Hykes
Nuclear Science and Engineering | Volume 197 | Number 2 | February 2023 | Pages 333-350
Technical Paper | doi.org/10.1080/00295639.2022.2053491
Articles are hosted by Taylor and Francis Online.
The Spatially Dependent Self-Shielding (SDSS) method has been implemented into CASMO5 within the framework of Equivalence Theory. The Optimal Two-Term Rational (OTTR) approximation is extended in the SDSS method to the Stoker-Weiss treatment of concentric annular fuel subdivisions. Reference fuel-to-fuel probabilities are required by the OTTR and obtained by performing a series of fixed-source, two-dimensional transport calculations for individual pin cell types using the method of characteristics. Several algorithms used in searching for the OTTR coefficients are evaluated with the goal of obtaining the best practical accuracy at minimal computational cost. Numerical results are presented that provide a comparison of various choices of search algorithms and show improved accuracy obtained by increasing the degrees of freedom in the rational approximation. Spatial profiles of the 238U microscopic absorption cross sections in the resonance range obtained using the Distributed Resonance Integral (DRI) and SDSS methods are compared to reference results from Monte Carlo calculations. The comparison highlights the inherent advantages of SDSS over the previous DRI method.