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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.
H. Bluhm, C. S. Yen
Nuclear Science and Engineering | Volume 61 | Number 4 | December 1976 | Pages 471-476
Technical Paper | doi.org/10.13182/NSE76-A14484
Articles are hosted by Taylor and Francis Online.
Values of the ratio of the capture to fission neutron cross section, α, of 235U have been determined in the energy range from 200 eV to 15 keV using a lead slowing down time spectrometer. A 235U fission chamber was used to determine the fission rate, and a gamma-ray proportional counter determined both the fission and the capture rates. Both detectors were calibrated in a thermal-neutron flux using the well-known thermal energy α values. Neutron and gamma-ray self-shielding in the samples and background counting rates have been carefully corrected. The resulting α values agree well with recent time-of-flight measurements in the energy range above 0.5 keV. Below 0.5-keV neutron energy, however, large discrepancies were observed. No obvious errors in the experimental method have been found to explain thesev discrepancies.