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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.
P. Guenther, D. Havel, A. Smith, J. Whalen
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 733-743
Technical Paper | doi.org/10.13182/NSE77-A27102
Articles are hosted by Taylor and Francis Online.
Energy-averaged total neutron cross sections of elemental vanadium were measured from ∼1.0 to 5.5 MeV. Differential elastic and inelastic neutron scattering cross sections were measured from 1.8 to 4.0 MeV. Neutrons corresponding to the excitation of states in vanadium at 321 ± 10, 938 ± 15, 1603 ± 19, 1811 ± 21, 2409 ± 27, ∼2500, 2706 ± 30, and 2773 ± 30 keV were observed. These experimental results were used to deduce an energy-averaged nuclear model suitable for extrapolating the measured values and calculating unmeasured cross sections for applied use.