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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.
James W. Baughn, Rudolph Sher
Nuclear Science and Engineering | Volume 58 | Number 1 | September 1975 | Pages 54-63
Technical Paper | doi.org/10.13182/NSE75-A26766
Articles are hosted by Taylor and Francis Online.
Calculations of the Doppler effect on resonance absorption, which assume equivalence, are shown to underestimate the effect in thin lumped absorbers where the mean chord length is of the order of the resonance-neutron mean-free-path. This error results from the deviation of Wigner’s rational approximation, both the original and as modified by Otter, from the exact escape probability in this region. Results for 238U using the computer programs ZUT (with exact escape probabilities) and TRIX (assuming equivalence) are compared. A new temperature-dependent modification to Wigner’s rational approximation is developed and shown to improve agreement between calculations using equivalence and those using exact escape probabilities. Calculations are made for thin 238U metal and oxide slabs in the surface area-to-mass range of 1 to 40 cm2/g and at temperatures up to 2000°C.