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Conference Spotlight
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.
J. W. Boldeman, B. J. Allen, A. R. de L. Musgrove, R. L. Macklin
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 744-748
Technical Paper | doi.org/10.13182/NSE77-A27103
Articles are hosted by Taylor and Francis Online.
The resonance neutron capture cross section of 89Y has been measured between 2.5 and 100 keV with the neutron capture facility at the 40-m flight station on the Oak Ridge Electron Linear Accelerator. Resonance parameters were extracted for levels below 50-keV bombarding energy. The average s-wave radiative width 〈Γγ〉s = 115 ± 15 meV. Spin assignments were made for the 13 largest p-wave resonances from shape analysis. The average radiative width for these resonances is 〈Γγ〉p = 307 ± 31 meV. The strong correlation bjetween p-wave reduced neutron widths and radiative width is ascribed to valence neutron effects. The magnitude of the effect is close to that estimated using the optical model formalism of the valence theory.