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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
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Latest News
First astatine-labeled compound shipped in the U.S.
The Department of Energy’s National Isotope Development Center (NIDC) on March 31 announced the successful long-distance shipment in the United States of a biologically active compound labeled with the medical radioisotope astatine-211 (At-211). Because previous shipments have included only the “bare” isotope, the NIDC has described the development as “unleashing medical innovation.”
B. D. Ganapol
Nuclear Science and Engineering | Volume 197 | Number 1 | January 2023 | Pages 1-13
Technical Paper | doi.org/10.1080/00295639.2022.2097494
Articles are hosted by Taylor and Francis Online.
Here, we are concerned with a new, highly precise, numerical solution to the one-dimensional neutron transport equation based on Case’s analytical, singular eigenfunction expansion (SEE). While a considerable number of numerical solutions currently exist, understandably, because of its complexity even in one dimension, there are only a few truly analytical solutions to the neutron transport equation. In 1960, Case introduced a consistent theory of the SEE for a variety of idealized transport problems and forever changed the landscape of analytical transport theory. Several numerical methods, including the Fn method, were based on the theory. What is presented is yet another, called the Lagrange order N method (LNM) featuring the simplicity and precision of the Fn method, but for a more convenient and natural Lagrangian polynomial basis.
