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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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.
Dwight W. Underhill
Nuclear Science and Engineering | Volume 63 | Number 2 | June 1977 | Pages 133-142
Technical Paper | doi.org/10.13182/NSE77-A27016
Articles are hosted by Taylor and Francis Online.
Measurements of the release of fission gases from spilled charcoal were made by means of a laboratory scale model developed for this study. It is shown that there is an appreciable retention of fission gases in charcoal and that the release rate can be determined from diffusion theory. For example, from a 1-ft-thick layer of spilled charcoal, it was found that 4.5% of the xenon and 21% of the krypton would be released after 6 h, and that 6.6 and 29%, respectively, would be released after 12 h. These results are in close agreement with the mathematical model developed for the analysis of these experiments. Similar release rates were found for spilled charcoal initially chilled to 0°F. These release rates are conservative because the effect of radioactive decay was neglected, and for this reason a theory was developed that includes the effect of radioactive decay within the spilled charcoal. The combined effects of a slow release rate and radiodecay will serve to mitigate the radiological consequences of a charcoal spill accident.