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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.
J. W. Yang
Nuclear Science and Engineering | Volume 62 | Number 3 | March 1977 | Pages 579-582
Technical Note | doi.org/10.13182/NSE77-A26995
Articles are hosted by Taylor and Francis Online.
The Ramm-Johannsen correlation of eddy diffusivity for momentum is used to compute the onset and growth of flow laminarization in triangular rod bundles. The laminarization is indicated by Reynolds numbers based on the bulk flow condition in the coolant channel. Simple correlations that qualitatively estimate the transition Reynolds numbers are developed for applications in the safety analysis of liquid-metal fast breeder reactors.