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Division Spotlight
Fusion Energy
This division promotes the development and timely introduction of fusion energy as a sustainable energy source with favorable economic, environmental, and safety attributes. The division cooperates with other organizations on common issues of multidisciplinary fusion science and technology, conducts professional meetings, and disseminates technical information in support of these goals. Members focus on the assessment and resolution of critical developmental issues for practical fusion energy applications.
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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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.
Sidney Oldberg, Jr., Ronald A. Christensen
Nuclear Technology | Volume 37 | Number 1 | January 1978 | Pages 40-47
Technical Paper | Fuel | doi.org/10.13182/NT78-A32089
Articles are hosted by Taylor and Francis Online.
Received December 27, 1976 Accepted for Publication September 7, 1977 A review of the characteristics of available fuel rod reliability models reveals an extremely wide range of opinion regarding the scale of complexity appropriate to the problem. It is argued that this diversity of opinion is symptomatic of a model building style in which no attention is formally paid to the uncertainty in the model predictions. An information-theory-based methodology is suggested as a means for systematically building a model in which the information content of the prediction is no more and no less than the information content of the supporting data.
