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Conference Spotlight
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.
R. R. Spencer, R. L. Macklin
Nuclear Science and Engineering | Volume 61 | Number 3 | November 1976 | Pages 346-355
Technical Paper | doi.org/10.13182/NSE76-A26920
Articles are hosted by Taylor and Francis Online.
Time-of-flight measurements of the neutron capture cross section of 59Co were carried out in the energy region 2.5 to 1000 keV using the Oak Ridge Electron Linear Accelerator and a pair of nonhydrogenous liquid-scintillator gamma-ray detectors. Resonance energies and capture areas were determined for a large number of resolved resonances up to 85-keV neutron energy, and radiation widths for 35 known s-wave resonances were derived. Positive correlation coefficients (ρ ≃ 0.3) between the radiative widths and neutron reduced widths of these s-wave resonances for both possible spin states were calculated. The significance of the correlations is discussed.
