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Decommissioning & Environmental Sciences
The mission of the Decommissioning and Environmental Sciences (DES) Division is to promote the development and use of those skills and technologies associated with the use of nuclear energy and the optimal management and stewardship of the environment, sustainable development, decommissioning, remediation, reutilization, and long-term surveillance and maintenance of nuclear-related installations, and sites. The target audience for this effort is the membership of the Division, the Society, and the public at large.
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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.
Chao Fang, Liangzhi Cao, Hongchun Wu, Kang Li
Nuclear Science and Engineering | Volume 196 | Number 5 | May 2022 | Pages 526-543
Technical Paper | doi.org/10.1080/00295639.2021.2011667
Articles are hosted by Taylor and Francis Online.
This paper presents a stabilized finite element method (FEM) and a spherical harmonics method to discretize the space and angle of the Boltzmann transport equation. The FEM is based on the subgrid-scale (SGS) model, which decomposes the unknowns into resolvable scale and SGS with an approximation for the SGS and then embeds it into a resolvable scale formulation, which yields a stabilized variational formula with only a resolvable scale. In this method, the SGS is identified as the residual of the flux, which represents the indistinguishable high-frequency component. This method is characterized by a residual equation proposed on the subgrid, thus reflecting the relationship between the residual of the flux and the residual of the source. A simple assumption is proposed that the residual of the flux is the scaling of the residual of the source. The scaling parameter is identified as a stabilization parameter, and it takes the inverse of the norm of the transport operator. This method has been verified by various benchmark problems, and the numerical results show that it has high accuracy, stability, and void applicability.