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Division Spotlight
Education, Training & Workforce Development
The Education, Training & Workforce Development Division provides communication among the academic, industrial, and governmental communities through the exchange of views and information on matters related to education, training and workforce development in nuclear and radiological science, engineering, and technology. Industry leaders, education and training professionals, and interested students work together through Society-sponsored meetings and publications, to enrich their professional development, to educate the general public, and to advance nuclear and radiological science and engineering.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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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Fusion Science and Technology
Latest News
Argonne opens registration for D&D training course
Registration is open for Argonne National Laboratory’s Facility Decommissioning Training Course, a four-day instruction designed for those responsible for the decontamination and decommissioning of nuclear facilities and who are looking to understand the full breadth and depth of the D&D processes.
The next session will be held July 16–19 in Santa Fe, N.M. Information on the course and how to register can be found here.
T.J. McCarville, C.F. Carson, B.B. Glasgow, W.R. Meier
Fusion Science and Technology | Volume 10 | Number 3 | November 1986 | Pages 1565-1570
Fusion Economic | doi.org/10.13182/FST86-A24955
Articles are hosted by Taylor and Francis Online.
A system model for scaling the cost and performance of ICF point designs to different operating conditions has been developed. The model allows changes in various figures of merit to be examined as a function of selected operating conditions. As a result, S/kWe can be optimized as a function of net electric output. A detailed description of the algorithms1 and users guide2 can be obtained through LLNL. This report provides an overview of the philosophy that motivated the performance and cost models, and illustrates the model results with an example.
