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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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 Science and Engineering
July 2025
Nuclear Technology
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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.
Kenji Konashi, Katsuichiro Kamimura, Yoji Yokouchi
Nuclear Technology | Volume 72 | Number 3 | March 1986 | Pages 328-337
Technical Paper | Radiation Protection and Health Physics Practices and Experience in Operating Reactors Internationally / Nuclear Fuel | doi.org/10.13182/NT86-A33771
Articles are hosted by Taylor and Francis Online.
A kinetic model of fuel/cladding chemical interaction (FCCI) has been developed. By fitting the model to in-pile experimental data, a wastage correlation has been derived that predicts corrosion depth due to FCCI. The model can explain the temperature dependency of the corrosion depth observed in the in-pile experimental data. The model successfully predicts the high corrosion rate observed in out-of-pile simulation tests that employ fission products in cladding capsules.
