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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.
Hiroshi Maekawa, Yasushi Seki, Toru Hiraoka, Masatoshi Moriyama
Nuclear Science and Engineering | Volume 57 | Number 4 | August 1975 | Pages 335-340
Technical Notes | doi.org/10.13182/NSE75-A15426
Articles are hosted by Taylor and Francis Online.
Spherical lithium-metal assemblies with and without a graphite reflector were prepared by stacking lithium arid graphite blocks to investigate the neu-tronics in the fusion reactor blanket. The ratio of 238 U-to-285U fission rates was measured by micro -fission chambers. The fission ratio was calculated by the one-dimensional transport code ANISN with the Pg-Sg approximation using a 42-group neutron cross-section set. The fission ratios measured in the lithium-metal assembly without a graphite reflector agree well with the calculated ones. In the assembly with a graphite reflector, however, there is a large discrepancy between experiment and calculation.
