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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.
Milton C. Edlund, Richard B. Jones, P. F. Zweifel
Nuclear Science and Engineering | Volume 59 | Number 1 | January 1976 | Pages 58-60
Technical Note | doi.org/10.13182/NSE76-A26811
Articles are hosted by Taylor and Francis Online.
Nonleakage probabilities calculated in multigroup transport and diffusion theory are compared with experimental data. The results are used as a criterion for choosing energy group structures as well as the actual number of groups. In addition, the importance of using the correct type of computer code for generating groups constants is shown.
