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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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Nuclear Technology
Fusion Science and Technology
Latest News
Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
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.
