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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.
M. R. Buckner and J. W. Stewart
Nuclear Science and Engineering | Volume 59 | Number 4 | April 1976 | Pages 289-297
Technical Paper | doi.org/10.13182/NSE59-289
Articles are hosted by Taylor and Francis Online.
A direct, iterative method has been developed for the numerical solution of the transient few-group neutron diffusion and delayed precursor equations in three-dimensional, hex-z geometry. The method is shown to be numerically stable, and truncation errors are of order h2. The results of numerical experiments as well as comparison with space-time experimental results indicate that the method is accurate and that three-dimensional calculations can be performed at “reasonable” computing costs. The method is incorporated as a JOSHUA module at the Savannah River Laboratory.