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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.
E. E. Morris
Nuclear Science and Engineering | Volume 59 | Number 3 | March 1976 | Pages 246-260
Technical Paper | doi.org/10.13182/NSE76-A26823
Articles are hosted by Taylor and Francis Online.
The energy-dependent neutron flux has been calculated for a point-isotropic fission source as a function of distance from the source in an infinite medium of sodium. The results were obtained by the moments method. Energy spectra are presented graphically for five distances from the source between 0 and 8 m and for energies between 1 eV and 15 MeV. Error estimates due to causes other than cross-section uncertainties or interpolations are made. The calculations are compared with a previously reported Monte Carlo calculation and with experimental measurements. Satisfactory agreement is observed.
