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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. A. Kushneriuk, J. M. Blair
Nuclear Science and Engineering | Volume 60 | Number 1 | May 1976 | Pages 87-95
Technical Note | doi.org/10.13182/NSE76-A26860
Articles are hosted by Taylor and Francis Online.
Some solutions of the differential equations, which describe an elementary model of the disposition of material carried by a fluid flowing in a pipe, are derived and investigated. The solutions pertain to a variety of assumptions made regarding the initial concentrations of the material in the fluid within the pipe and on the pipe interior surface, and the concentration of the material in the fluid entering the pipe. The means of obtaining some of the model parameters using the derived solutions and measured values of the concentrations of matter on the pipe surface and in the fluid are illustrated.
