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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Fusion Science and Technology
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.
Donald L. Smith
Nuclear Science and Engineering | Volume 64 | Number 4 | December 1977 | Pages 897-901
Technical Note | doi.org/10.13182/NSE77-A14510
Articles are hosted by Taylor and Francis Online.
Cross-section ratios for production of 0.439-MeV gamma rays near 55 deg by the 23Na(n, n′y)23Na reaction relative to fast-neutron fission of 235U have been measured with an error of ±8% at intervals of 0.05 MeV from threshold up to ∼2 MeV, with an average neutron energy resolution of ∼0.07 MeV. Gamma-ray angular distributions were measured at En = 0.644, 0.793, 1.093, 1.245, 1.499, 1.799, and 2.044 MeV. The measured ratios and ENDF/B-IV fission cross sections were used to compute gamma-ray production cross sections. The experimental results are compared with data from the literature, and implications for liquid-metal fast breeder reactor technology are discussed.
