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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.
L. W. Weston, J. H. Todd
Nuclear Science and Engineering | Volume 61 | Number 3 | November 1976 | Pages 356-365
Technical Paper | doi.org/10.13182/NSE76-A26921
Articles are hosted by Taylor and Francis Online.
The 241Am neutron absorption cross section, which is predominantly capture, has been measured from 0.01-eV to 370-keV neutron energy. The Oak Ridge Electron Linear Accelerator was used as the source of pulsed neutrons. Resonance parameters have been derived for the data up to 50 eV. The capture gamma-ray detector used was the “total energy detector,” which is a modification of the Moxon-Rae detector. This detector required that the events be weighted by their pulse height in the detector and that the net efficiency of the detector be low. The cross section was normalized at thermal-neutron energies (0.02 to 0.03 eV), and the shape of the neutron flux was measured relative to the 10B(n, α) cross section up to 2 keV and relative to the 6Li(n, α) cross section at higher neutron energies. The results of the measurement indicate a lower cross section (∼25%) between 0.3 and 100 eV than has been previously indicated and an appreciably higher cross section (by 100% at 100 keV) from 20 to 370 keV.