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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
Standards Program
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.
John J. Ullo
Nuclear Science and Engineering | Volume 92 | Number 2 | February 1986 | Pages 228-239
Technical Paper | doi.org/10.13182/NSE86-A18170
Articles are hosted by Taylor and Francis Online.
A review is made of multidimensional radiation transport techniques that are being used to model nuclear oil well logging measurements. Both Monte Carlo and deterministic methods are employed for this work, and it is found that the realism that can be incorporated into these models has led to greater understanding of all kinds of logging measurements. As a result, models are now used as part of the new logging tool design process in much the same way that they are used to support nuclear reactor and shielding designs. Despite the success so far, there is still room to improve both Monte Carlo and especially deterministic methods for logging applications. Monte Carlo codes, impressive as they are, are still expensive computations for many logging problems. Although improvements in basic Monte Carlo can still be made, it seems that the next significant improvement in the efficiency of Monte Carlo will come from computer architecture in the form of multiprocessor machines. On the other hand, the principal limitation of deterministic calculations centers mainly on the lack of accurate, practical, three-dimensional transport capabilities. With this in mind, some recent work to extend a nodal, discrete ordinates method to three dimensions for logging applications is reviewed.