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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. L. Macklin, J. A. Harvey, J. Halperin, N. W. Hill
Nuclear Science and Engineering | Volume 62 | Number 1 | January 1977 | Pages 174-176
Technical Note | doi.org/10.13182/NSE77-A26949
Articles are hosted by Taylor and Francis Online.
Resonance parameters, particularly the radiative width of the 292.36-eV s-wave level in 91Zr + n, have been reinvestigated. The spin assignment J = 2+ is supported. The neutron width Γn = (866 ± 11) meV and radiative width Γγ = (86.8 ± 2.2) meV indicate less neutron capture than do parameters derived from earlier studies. This lower capture, however, is more compatible with integral measurements and a lead slowing down spectrometer measurement.
