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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.
Kalimullah
Nuclear Science and Engineering | Volume 60 | Number 3 | July 1976 | Pages 311-314
Technical Note | doi.org/10.13182/NSE76-A26887
Articles are hosted by Taylor and Francis Online.
Starting from the mechanics of collision between two perfectly elastic smooth spherical molecules, the following equation for the heat transfer rate per unit volume from a gas or vapor 2 to another gas 1 in a mixture is derived based on the kinetic theory of gases: Methods of estimating molecular diameters when experimental values are not available are indicated, and values for sodium and UO2 vapor are estimated. For a set of typical values of the parameters, the time constant for the heat transfer is found to be of the order of 10−8 sec, which implies that for processes occurring in time periods greater than those of the order of 10−8 sec, the gases can be assumed to come to a thermal equilibrium at the instant they mix.