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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.
K. Wisshak, F. Käppeler
Nuclear Science and Engineering | Volume 66 | Number 3 | June 1978 | Pages 363-377
Technical Paper | doi.org/10.13182/NSE78-A27219
Articles are hosted by Taylor and Francis Online.
The neutron capture cross sections of 240Pu and 242Pu were measured in the energy range from 10 to 90 keV. The capture cross sections of both 197Au and 238U were chosen as standards. Neutrons were produced via the 7Li(p,n) reaction with the Karlsruhe 3-MV pulsed Van de Graaff accelerator. Capture events were detected by a Moxon-Rae detector. The high neutron flux available at flight paths as short as ∼10 cm offers a signal-to-background ratio one order of magnitude better than obtained in previous experiments. The cross-section ratios could therefore be determined with a total statistical and systematic uncertainty of 4 to 10% for 240Pu and 6 to 10% for 242Pu. The results agree with previous data, while discrepancies to the evaluated files ENDF/B-IV and KEDAK 3 were found (up to 30% for 240Pu and up to 50% for 242Pu).
