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Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Latest News
ARG-US Remote Monitoring Systems: Use Cases and Applications in Nuclear Facilities and During Transportation
As highlighted in the Spring 2024 issue of Radwaste Solutions, researchers at the Department of Energy’s Argonne National Laboratory are developing and deploying ARG-US—meaning “Watchful Guardian”—remote monitoring systems technologies to enhance the safety, security, and safeguards (3S) of packages of nuclear and other radioactive material during storage, transportation, and disposal.
Rodolfo M. Ferrer, Joel D. Rhodes III
Nuclear Science and Engineering | Volume 182 | Number 2 | February 2016 | Pages 151-165
Technical Paper | doi.org/10.13182/NSE15-6
Articles are hosted by Taylor and Francis Online.
A linear source (LS) approximation scheme is presented for the two-dimensional method of characteristics (MOC). The LS approximation relies on the computation of track-based spatial moments over source regions to obtain the LS expansion coefficients. The proposed LS scheme improves the solution accuracy relative to the constant or flat source (FS) approximation. The LS scheme is capable of treating arbitrarily shaped source regions under isotopic or anisotropic scattering assumptions. The LS scheme is also compatible with standard coarse-mesh finite difference acceleration. Numerical tests presented for the C5G7 mixed oxide benchmark show that for comparable accuracy with respect to the reference solution, the LS approximation can reduce the run time by a factor of 4 and the memory requirements by a factor of 10 relative to the FS scheme. This is because the LS scheme permits the use of a much coarser grid than the FS scheme. Numerical tests presented for simple cold critical core configurations with anisotropic scattering confirm the advantage of using the LS scheme.