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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.
S. Plattard, J. Blons, D. Paya
Nuclear Science and Engineering | Volume 61 | Number 4 | December 1976 | Pages 477-495
Technical Paper | doi.org/10.13182/NSE76-A14485
Articles are hosted by Taylor and Francis Online.
The neutron-induced fission cross section of 237Np was measured between 3 eV and 2 MeV by the time-of-flight technique using a gas scintillator as a fission fragment detector. Two measurements were carried out with the Saclay 60-MeV Linac used as a pulsed-neutron source. The first measurement, with a nominal resolution of 2 ns/m, was performed in the 3-eV to 35-keV energy range, where the fission cross section exhibits the well-known intermediate structure. The samples were cooled to liquid nitrogen temperature to reduce the Doppler broadening predominant below 50 eV. Thanks to good statistics and to a very low background, a shape resonance analysis was possible up to 155 eV, the quoted uncertainties on the fission widths being essentially due to inaccurate neutron widths. The second experiment was run from 25 keV to 2 MeV, with a nominal resolution of 0.3 ns/m, and showed a structureless fission cross section. The agreement with the Physics 8 underground nuclear explosion data seems to be very poor in the resonance region, whereas it is more satisfactory for higher energies. Neptunium-238 fission barrier parameters were deduced from the collected data and agree fairly well with published results.