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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.
Ehsan U. Khan
Nuclear Science and Engineering | Volume 61 | Number 1 | September 1976 | Pages 112-115
Technical Note | doi.org/10.13182/NSE76-A28467
Articles are hosted by Taylor and Francis Online.
The relative importance of energy redistribution by thermal conduction and sweep flow mixing in a wire-wrapped fuel assembly are quantitatively described at various Reynolds numbers. For a given bundle geometry, a critical Reynolds number exists below which thermal conduction appears to govern the temperature distribution within the bundle. As the thermal conduction effects become progressively important at low Reynolds numbers, the transverse temperature gradient in the bundle decreases. This result would have an important effect on incoherency in assembly voiding. If one were to develop a model of a full-size liquid-metal fast breeder reactor bundle to study incoherency in voiding, an important parameter is the maximum temperature difference at the bundle exit. Whereas this parameter is the same for a 19- and 217-pin bundle at design operating conditions, it is significantly different at low Reynolds numbers. This low Reynolds number bundle-size effect was determined by analysis of steady-state data and is valid for very slow transients where the thermal inertia of the structure is unimportant. Inclusion of the structure thermal inertia would tend to diminish this bundle-size effect.