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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.
Yasushi Seki and Hiroshi Maekawa
Nuclear Science and Engineering | Volume 66 | Number 2 | May 1978 | Pages 243-251
Technical Note | doi.org/10.13182/NSE78-A27205
Articles are hosted by Taylor and Francis Online.
In a spherical lithium metal assembly with a graphite reflector, the changes in the fission rates of 235U and 238U due to changes in the cross-section sets of the constituent elements of the assembly are calculated. The results are discussed on the basis of experimental data. The fission rate of 235U is found to be most sensitive to changes in the cross-section set of 6Li in the lithium region, while in the graphite reflector, it is most sensitive to that of 12C. The fission rate of 238U is found to be more sensitive to changes in the cross-section sets of the elements in the stainless-steel structure rather than to those of lithium or graphite.
