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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.
Mien-Win Wu, Jen-Chang Chou
Nuclear Science and Engineering | Volume 63 | Number 3 | July 1977 | Pages 268-275
Technical Paper | doi.org/10.13182/NSE77-A27039
Articles are hosted by Taylor and Francis Online.
The cross section of the 58Ni(n, p)58Co reaction was determined by the activation method for neutron energies from 3 to 4.8 MeV. Neutron fluxes were measured with a laboratory-fabricated proton recoil telescope consisting of a radiator, an evacuated cell, and a surface barrier detector. The absolute efficiencies of the telescope for different neutron energies have been interpreted by Monte Carlo calculation as well as by a direct integration method. The fraction of activations induced by neutrons following single elastic scattering to those without scattering in the nickel sample was also calculated by a Monte Carlo program. The neutron attenuation through the nickel sample was also considered. Major sources of error in the cross-section determination are summarized and discussed. The total error was estimated to be 4 to 5%.