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Conference Spotlight
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.
Richard B. Jones and P. F. Zweifel
Nuclear Science and Engineering | Volume 59 | Number 4 | April 1976 | Pages 429-436
Technical Note | doi.org/10.13182/NSE76-A26843
Articles are hosted by Taylor and Francis Online.
The Goertzel reactor construct and the Goertzel-Wilkins theorem proved for this class of reactors are applied to a moderator fuel system at pressurized water reactor temperature and pressure conditions. The viability of the minimum critical mass as a global parameter to assess the integrity of energy group structures is investigated. The calculations are performed in diffusion and transport theory and up to eight energy groups are considered. Some initial guidelines based on the minimum critical mass for attaining nearly equivalent accuracy by using a fewer number of “properly” structured energy groups are discussed. Numerical results are still inconclusive but again suggest that transport theoretical calculations are pointless unless spectral codes that compute group constants include angular dependence.