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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
Latest News
Princeton-led team develops AI for fusion plasma monitoring
A new AI software tool for monitoring and controlling the plasma inside nuclear fuel systems has been developed by an international collaboration of scientists from Princeton University, Princeton Plasma Physics Laboratory (PPPL), Chung-Ang University, Columbia University, and Seoul National University. The software, which the researchers call Diag2Diag, is described in the paper, “Multimodal super-resolution: discovering hidden physics and its application to fusion plasmas,” published in Nature Communications.
D. H. Lister
Nuclear Science and Engineering | Volume 59 | Number 4 | April 1976 | Pages 406-426
Technical Paper | doi.org/10.13182/NSE76-7
Articles are hosted by Taylor and Francis Online.
A mathematical model to describe the contamination of steel surfaces by 60Co in high-temperature water is developed. The model assumes that 60Co is incorporated into the growing oxide film on the steel, so that the contamination rate is governed by corrosion kinetics. Release to inactive coolant is controlled by solid-state diffusion and is consequently very slow. Diffusion processes for both release and activation are modeled in terms of a diffusion parameter that is characteristic of the surface oxide. The model is tested with data from recirculating and once-through loops, and good fits are obtained if either parabolic or logarithmic corrosion kinetics are assumed, although logarithmic kinetics are somewhat better.