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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. T. Guenther, D. G. Havel, A. B. Smith
Nuclear Science and Engineering | Volume 65 | Number 1 | January 1978 | Pages 174-180
Technical Note | doi.org/10.13182/NSE78-A27140
Articles are hosted by Taylor and Francis Online.
Differential elastic neutron scattering cross sections of 206Pb, 207Pb, 208Pb, and 209Bi are measured at incident neutron energy intervals of ∼25 keV from 0.6 to 1.0 MeV. Optical model parameters are obtained from the energy-averaged experimental results for each of the isotopes. The 209Bi model was selected for extrapolation to 238U by introducing a small (N - Z)/A dependence and the known deformation of 238U. Calculated results are descriptive of 238U total neutron cross sections from a few hundred keV to >15.0 MeV and of recently measured differential 238U elastic and inelastic neutron scattering distributions at energies of 3.0 MeV, including new experimental values explicitly obtained for these comparisons. The model and the measurements imply total 238U inelastic neutron scattering cross sections considerably larger than in common applied usage.