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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.
Bangjiao Ye, Yangmei Fan, Zhongmin Wang, Rongdian Han, Zhenxi Xiao
Nuclear Science and Engineering | Volume 117 | Number 1 | May 1994 | Pages 67-75
Technical Paper | doi.org/10.13182/NSE94-A13569
Articles are hosted by Taylor and Francis Online.
The energy spectra and angular distributions of the proton emission from the 93Nb(n,xp) reaction are measured by means of the multitelescope system at the University of Science and Technology of China. The total proton production cross sections are in fair agreement with the results obtained by other groups. The energy spectrum is explained well by the sum of the spectra calculated on the basis of the pre-equilibrium and Hauser-Feshbach theories. There are deviations from a previous measurement of the high-energy end of the angle-integrated proton spectrum. The angular distribution, which shows a strongly energy-dependent forward-backward asymmetry, is in fair agreement with the Kalbach-Mann phenomenological model.
