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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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.
J. B. Czirr, G. W. Carlson
Nuclear Science and Engineering | Volume 64 | Number 4 | December 1977 | Pages 892-894
Technical Note | doi.org/10.13182/NSE77-A14508
Articles are hosted by Taylor and Francis Online.
We have performed three measurements of the 235U fission cross section in the energy range from 0.02 eV to 1 keV. The averaged data are grouped into broad energy intervals to improve the statistical accuracy and to aid in the normalization of higher energy measurements. The uncertainty in the cross sections analyzed in this manner will permit normalization of the values at higher energy with an accuracy of about ±1%.
