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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.
L. Green
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 361-370
Technical Paper | doi.org/10.13182/NSE75-A26792
Articles are hosted by Taylor and Francis Online.
Absolute absorption cross sections of 232Th and 197Au for 252Cf spontaneous fission neutrons have been measured. Irradiations were performed in an exceptionally low mass source-foil arrangement, providing a “pure” spectrum with few corrections. Calibration of the activation detector was achieved by irradiating identical foils in the Standard Thermal Flux at the National Bureau of Standards. The results obtained were 79.9 ± 2.9 mb for 197Au and 87.8 ± 4.0 mb for 232Th. The corresponding values calculated from ENDF/B-III data are 84.3 and 99.3 mb, respectively. A simple ratio technique was also used to obtain an independent estimate of the relative 232Th to 197Au integral cross sections, yielding a value in good agreement with that above. This technique was extended to 181Ta, 98Mo, and 63Cu.