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Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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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.
Riccardo A. Bonalumi
Nuclear Science and Engineering | Volume 77 | Number 2 | February 1981 | Pages 219-229
Technical Note | doi.org/10.13182/NSE81-A21355
Articles are hosted by Taylor and Francis Online.
An explicit, analytical calculation of homogenized cell parameters has been developed for centrally symmetric cells or supercells. For every principal direction, a set of one-directional (noneigenvalue) calculations driven by neutrons injected from outside generate transmission/reflection matrices from which diffusion coefficient and cross-section matrices, generally full, are obtained analytically. The analytical calculation of the homogenized parameters is carried through for two different angular distributions of the injected neutrons (generic, P1) and for two mesh structures (ultrafine, 1 mesh/cell). Reaction-rate matching cross-section matrices are also obtained and are shown to be related to the conventional edge-flux normalized cross sections. Two test problems, covering both heavy water and light water lattices, show the superiority of the homogenized diffusion theory (HDT) parameters over the traditional ones: In the light water lattice problem, the HDT constants perform even better than analogous constants generated by other authors.