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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.
H. D. Knox, R. M. White, R. O. Lane
Nuclear Science and Engineering | Volume 65 | Number 1 | January 1978 | Pages 65-69
Technical Paper | doi.org/10.13182/NSE78-A27126
Articles are hosted by Taylor and Francis Online.
Differential neutron cross sections of 10B for elastic scattering have been measured for ∼30 incident neutron energies between 4 and 8 Me V. Neutrons inelastically scattered from the 0.717-MeV level were completely resolved from the elastic group except at the most forward angles at energies above 7.5 MeV. Generally, the differential cross sections are slowly varying with energy, indicating little resonance structure in this region. These data are consistent with earlier lower energy measurements done at Edwards Accelerator Laboratory and provide detailed data in a region where only sparse data were previously available to evaluators and designers in the nuclear energy field.