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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.
J. S. Hendricks, L. L. Carter
Nuclear Science and Engineering | Volume 89 | Number 2 | February 1985 | Pages 118-130
Technical Paper | doi.org/10.13182/NSE85-A18186
Articles are hosted by Taylor and Francis Online.
A synergistic method is described for the angle biasing of anisotropic scattering kernels in Monte Carlo calculations. The method generalizes Dwivedi's suggestion of using the exponential transform to cancel the undesirable fluctuations of angle biasing. Only photons are examined because the biasing of the Klein-Nishina scattering kernel can be treated analytically in contrast to more general neutron scattering kernels, which would require a numerical treatment. Three-dimensional continuous-energy results indicate that angle biasing in conjunction with the exponential transform is better than either by itself and greatly enhances Monte Carlo transport for the cases shown.