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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.
H. H. Hummel, Kalimullah, and P. Pizzica
Nuclear Science and Engineering | Volume 59 | Number 4 | April 1976 | Pages 440-441
Technical Note | doi.org/10.13182/NSE76-A26845
Articles are hosted by Taylor and Francis Online.
Recalculation of sodium voiding ramp rates in a loss-of-flow accident for a model of a 4000-MW(e) oxide-fueled liquid-metal fast breeder reactor gave results much lower than those found previously by Bleiweis et al. Only a part of this difference could be ascribed to differences in the primary coolant loop model.
