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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.
J. Weisman, T. Ake, R. Knott
Nuclear Science and Engineering | Volume 61 | Number 3 | November 1976 | Pages 297-309
Technical Paper | doi.org/10.13182/NSE76-A26916
Articles are hosted by Taylor and Francis Online.
The ability of one-dimensional momentum balances to predict behavior during two-phase oscillatory flow has been examined. Flow oscillations in a Freon-Freon vapor system were induced by cycling a three-way valve so as to divert a varying portion of the total flow from the test section. The data taken included the phase shift between the pressure and flow curves and the head fluctuation to flow fluctuation ratio. These data were compared with theoretical predictions obtained via the impedance method. Although some discrepancies between predictions and measurements were observed, the discrepancies were generally within the range of error associated with the measurement and analysis techniques used.