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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.
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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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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.
Chaung Lin
Nuclear Technology | Volume 92 | Number 1 | October 1990 | Pages 118-126
Technical Paper | Development of Nuclear Gas Cleaning and Filtering Techniques / Radioactive Waste Management | doi.org/10.13182/NT90-A34491
Articles are hosted by Taylor and Francis Online.
A computer program that searches for control rod patterns has been developed. In the algorithm, the problem is decomposed into two levels. In the first level, according to an assumed average axial power distribution, a control rod pattern is determined that satisfies all constraints at each burnup step. In the second level, the conditions are checked at the end of the fuel cycle. If certain conditions are not satisfied, the average axial power distribution or the weighting factors are modified and the first-level search is repeated. The first-level search is formulated as an optimization problem with constraints. The constrained problem is converted to an equivalent unconstrained problem and a method similar to a penalty function method is then applied to obtain the control rod pattern. The program is demonstrated by successfully generating control rod programming for the Chinshan and Kuosheng nuclear power plants in Taiwan.