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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.
Donald L. Smith
Nuclear Science and Engineering | Volume 61 | Number 4 | December 1976 | Pages 540-543
Technical Note | doi.org/10.13182/NSE76-A14491
Articles are hosted by Taylor and Francis Online.
Cross-section ratios for production of the 0.478-MeV gamma ray by the 7Li(n, n′γ)7Li reaction relative to fast-neutron fission of 235U have been measured from 0.57 to 4 MeV with an estimated error of ±8%. The measurements were made using a shielded Ge(Li) detector, a fission detector, and time-of-flight techniques. The measured ratios and ENDF/B-IV fission cross sections were used to compute cross sections for the 7Li(n, n′γ)7Li reaction. These values are compared with corresponding reported experimental values and with the ENDF/B-IV evaluation for this reaction. The available data tend to fall into two distinct groups that disagree by as much as 25% at some energies. The results of the present work are consistent with the group that favors smaller cross sections at most energies.