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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.
J. K. Dickens
Nuclear Science and Engineering | Volume 58 | Number 3 | November 1975 | Pages 331-338
Technical Note | doi.org/10.13182/NSE75-A26783
Articles are hosted by Taylor and Francis Online.
Interactions of neutrons with zinc have been studied by measuring gainma-ray-production cross sections. For a sample of natural zinc, spectra were obtained for incident-mean-neutron energies, En = 4.9, 5.4, and 5.9 MeV with gamma-ray detector systems utilizing coaxial Ge(Li) detectors. 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. Gamma-ray identification was aided by obtaining spectra for samples enriched in the isotopes 64Zn and 68Zn, and new information on the level structure of 64Zn is reported. These cross sections have been compared, where possible, with previous comparable measurements with generally satisfactory results.