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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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Powering the future: How the DOE is fueling nuclear fuel cycle research and development
As global interest in nuclear energy surges, the United States must remain at the forefront of research and development to ensure national energy security, advance nuclear technologies, and promote international cooperation on safety and nonproliferation. A crucial step in achieving this is analyzing how funding and resources are allocated to better understand how to direct future research and development. The Department of Energy has spearheaded this effort by funding hundreds of research projects across the country through the Nuclear Energy University Program (NEUP). This initiative has empowered dozens of universities to collaborate toward a nuclear-friendly future.
Y. Y. Azmy
Nuclear Science and Engineering | Volume 115 | Number 3 | November 1993 | Pages 265-272
Technical Note | doi.org/10.13182/NSE93-A24055
Articles are hosted by Taylor and Francis Online.
We compute the spectral radius for Reed’s cell-centered imposed diffusion synthetic acceleration (IDSA) method applied to a fixed-weights weighted diamond-difference (WDD) scheme. We show that Reed’s conclusion that IDSA is conditionally stable is strictly true only for very small magnitude spatial weights. For the zeroth-order nodal integral method, the step method (unit weights), and WDD methods with large enough weights (say larger than 0.5), a simple choice of the diffusion coefficient results in unconditionally stable, rapidly converging iterations. Moreover, the IDSA’s spectral radius vanishes in the limit of infinitely thick computational cells, thereby implying immediate convergence for sufficiently thick problems. We verify all these results via model and nonmodel test problems.