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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.
J. W. Meadows
Nuclear Science and Engineering | Volume 65 | Number 1 | January 1978 | Pages 171-174
Technical Note | doi.org/10.13182/NSE78-2
Articles are hosted by Taylor and Francis Online.
Fission cross-section ratio measurements were made in the 2- to 3-MeV region using 235U samples with 234U and 236U samples containing ∼10% 235U. Atom ratios were obtained from measured thermal fission ratios and the isotopic analysis and also by alpha counting. Shape measurements were made from threshold to 10 MeV using pure samples and were normalized in the 2- to 3-MeV region. The present values for the 234U: 235U ratio are up to 5% greater than those previously reported. The results for 236U generally agree with those in the literature except for the values reported by Stein et al., which are also lower.