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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.
P. Guenther, A. Smith, J. Whalen
Nuclear Science and Engineering | Volume 59 | Number 2 | February 1976 | Pages 106-116
Technical Paper | doi.org/10.13182/NSE76-A15683
Articles are hosted by Taylor and Francis Online.
Fast-neutron total and scattering cross sections of elemental nickel are measured. Total neutron cross sections are determined from 0.25 to 5.0 MeV with incident neutron resolutions of a few keV. Differential neutron elastic scattering cross sections are measured from incident energies of 0.3 to 4.0 MeV at intervals of ≤200 keV. Cross sections for the neutron excitation of states at 1.156 ± 0.015, 1.324 ± 0.015, 1.443 ± 0.015, 2.136 ± 0.013, 2.255 ± 0.030, 2.449 ± 0.030, 2.614 ± 0.020, and 2.791 ± 0.025 MeV are determined to incident energies of 4.0 MeV. The experimental results are examined in the context of optical and statistical models including resonance width-fluctuation and correlation effects. The present experimental results are compared with previously reported measured values and with the evaluated data file ENDF/B-IV.