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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.
George W. Eccleston, Gene L. Woodruff
Nuclear Science and Engineering | Volume 62 | Number 4 | April 1977 | Pages 636-651
Technical Paper | doi.org/10.13182/NSE77-A15207
Articles are hosted by Taylor and Francis Online.
Measurements of the near-equilibrium energy spectra of the delayed neutrons associated with fast-neutron-induced fissions of 232Th, 233U, 235U, 238U, and 239Pu are reported over the energy range from 35 to 1500 keV. The fission source spectrum, produced from the 9Be(p, n)9B reaction using 10-MeV protons, approximated a prompt fission spectrum. Over 20% of the delayed neutrons in the measured spectra for each sample appeared below 100 keV. Two large peaks at 41 and 74 keV were observed in the spectra from each nuclide. The measured spectra compare favorably with the data reported by others at energies above 200 keV. However, at energies below this value, our results show a significant increase in the number of delayed neutrons when compared with previously published results.
