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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.
R. W. Hardie, R. E. Schenter, R. E. Wilson
Nuclear Science and Engineering | Volume 57 | Number 3 | July 1975 | Pages 222-238
Technical Note | doi.org/10.13182/NSE75-A26754
Articles are hosted by Taylor and Francis Online.
Measured integral quantities such as keff, central reaction-rate ratios, and central reactivity coefficients for 18 fast critical assemblies were calculated using the ENDF/B-IV neutron cross-section set. The correlations between calculation and experiment using Version IV were then compared to those obtained with earlier cross-section data, specifically, Versions I, II, and III of ENDF/B and the Bondarenko cross-section set. In general, ENDF/B-IV was found to do an excellent job of calculating keff. However, discrepancies between calculation and experiment did exist for both reaction-rate ratios and reactivity coefficients. Of particular interest, the fissile-fuel central-worth discrepancy for plutonium assemblies was found to be ∼20%.
