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Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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Fusion Science and Technology
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.”
S. K. Ho, F. J. Brechtel, T. Kenneth Fowler
Fusion Science and Technology | Volume 23 | Number 3 | May 1993 | Pages 321-330
Technical Paper | Safety/Environmental Aspect | doi.org/10.13182/FST93-A30160
Articles are hosted by Taylor and Francis Online.
A simplified scaling law approach for calculating activation-induced radioactive inventories is extended and applied. The goal is to provide a sufficiently accurate, very fast method to calculate activation radioactive inventories as an integral part of tokamak system design codes. The method is applied to a silicon carbide first wall, but now all relevant daughter nuclides are considered, and the results are used to calculate various indexes that can be used to characterize environmental and safety characteristics of fusion reactors. The indexes obtained from the scaling laws are in reasonable agreement with those derived from inventories calculated directly from more time-consuming Monte Carlo methods.