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Conference Spotlight
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.
D. Ilberg, D. Saphier, S. Yiftah
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 445-449
Technical Note | doi.org/10.13182/NSE75-A26800
Articles are hosted by Taylor and Francis Online.
The extent to which the use of different fission-product cross sections (FPCS) affects the neutron multiplication factor keff in high burnup cores of fast reactors is evaluated. It is found that discrepancies of the order of 2.5% exist when different FPCS are used to calculate keff in the same core. These discrepancies are due to the absence of data on a number of fission-product isotopes present in some of the nuclear data libraries on the one hand, and large differences in the capture cross sections of some of the isotopes on the other. A list of fission-product isotopes is proposed that, when used, reduces discrepancies in keff to < 1%. The important isotopes for fast-reactor burnup and keff calculations in which large discrepancies exist are identified, and it is suggested that they be subjected to further evaluation to close the discrepancy gap.