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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.
W. Slagter
Nuclear Science and Engineering | Volume 66 | Number 1 | April 1978 | Pages 84-92
Technical Paper | doi.org/10.13182/NSE78-A15190
Articles are hosted by Taylor and Francis Online.
This paper deals with the application of the finite element method to solve the momentum equation for the central subchannel of a fuel rod bundle. The Galerkin procedure in the method of weighted residuals is used to form the nonlinear algebraic equations that are solved by means of the Newton-Raphson approach. For turbulent flow, the eddy diffusivities are determined by Prandtl's mixing length hypothesis. The mixing lengths perpendicular and parallel to the wall are calculated from geometrical conditions using relations obtained by various authors. The results obtained are critically compared with experimental data and also with those obtained by finite difference procedures. There is a close agreement between the finite element results and other calculated data. Corresponding results also show a good agreement with experimental data available.