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Conference Spotlight
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.
S. L. Paveri-Fontana, P. L. Chambré
Nuclear Science and Engineering | Volume 61 | Number 4 | December 1976 | Pages 451-465
Technical Paper | doi.org/10.13182/NSE76-A14482
Articles are hosted by Taylor and Francis Online.
An analytical procedure is described for the early-time asymptotic solution of a partial-differential integral equation of the parabolic type. Several applications to the analysis of the early stages of space-dependent nuclear reactor transients are presented. The one-energy-group diffusion model with a “Newton law of cooling” linear feedback is employed. Physical interpretations of the results are given. Comparisons with results obtained by different formulations of the point-kinetic method are performed.
