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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.
R. T. Santoro, J. Barish
Nuclear Science and Engineering | Volume 59 | Number 2 | February 1976 | Pages 189-194
Technical Note | doi.org/10.13182/NSE76-A15689
Articles are hosted by Taylor and Francis Online.
The cross-section sensitivity of the fusion probability has been calculated for various conditions of incident deuteron energy and plasma electron temperature. The fusion probability is most sensitive to the D-T cross section at the higher energies (≳50 keV), and, based on the reported errors in the cross section, the errors in the calculated fusion probabilities should be ≲10%. The cross-section sensitivities of the D-T reaction rate in a D-T plasma and the T-T reaction rate in a tritium plasma have also been calculated for various assumed values of the plasma ion temperature.
