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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.
R. Gwin
Nuclear Science and Engineering | Volume 61 | Number 1 | September 1976 | Pages 116-117
Technical Note | doi.org/10.13182/NSE76-A28468
Articles are hosted by Taylor and Francis Online.
The energy dependence of some experimentally derived neutron absorption and fission cross sections of 235U and 239Pu are compared with the ENDF/B-IV results over the energy range from 0.005 to 1.0 e V. Wescott g factors are presented as calculated from the experimental data. The experimental results published previously were normalized to ENDF/B-III values for σf and σa.