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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. K. Dickens
Nuclear Science and Engineering | Volume 63 | Number 1 | May 1977 | Pages 101-109
Technical Note | doi.org/10.13182/NSE77-A27011
Articles are hosted by Taylor and Francis Online.
Interactions of neutrons with 208Pb have been studied by measuring photon production cross sections. Gamma-ray spectra were obtained at incidentneutron energies of 4.9, 5.4, 6.4, 6.95, 7.45, and 8.0 MeV with a gamma-ray detector system utilizing a 48-cm3 Ge(Li) detector. Nearly monoenergetic neutrons were obtained from the D(d, n) reaction using deuterons obtained from the (pulsed) Oak Ridge National Laboratory 5-MV Van de Graaff accelerator. Time-of-flight was used to discriminate against pulses due to neutrons and background radiation. Extracted differential and total inelastic cross sections have been compared with previous measurements and with data from the ENDF/B evaluation with generally satisfactory results. New information on the level structure of 208Pb is reported. Data were also obtained at En = 5.4 MeV for a sample of natural bismuth, and new information on the level structure of 209Bi was obtained. Differential gamma-ray production cross sections were obtained, and the total inelastic cross section at En = 5.4 MeV was deduced from these data.