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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.
J. P. Hennart
Nuclear Science and Engineering | Volume 64 | Number 4 | December 1977 | Pages 875-882
Technical Note | doi.org/10.13182/NSE77-A14503
Articles are hosted by Taylor and Francis Online.
Piecewise polynomial approximations generalizing the Kang and Hansen Hermite methods are applied to the nuclear reactor kinetics equations. Some of the methods proposed here are strongly A-stable and therefore quite efficient in the presence of extreme stiffness, as shown by numerical results for some typical test cases.