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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.
R. C. Haight, S. M. Grimes, J. D. Anderson
Nuclear Science and Engineering | Volume 63 | Number 2 | June 1977 | Pages 200-204
Technical Note | doi.org/10.13182/NSE77-A27027
Articles are hosted by Taylor and Francis Online.
Hydrogen and helium production cross sections have been measured for 15-MeV neutrons incident on Types 316 and 304 stainless steel. A charged-particle magnetic-quadrupole spectrometer was used to measure the (n, xp), (n, xd), and (n, xα) cross sections and the charged-particle spectra. The measured gas production cross sections, 260 ± 38 mb for hydrogen and 48 ± 7 mb for helium, differ by as much as 73% from those used in previous assessments of candidate materials for fusion reactors. The energy spectrum of recoil nuclei from (n, xα) reactions, deduced here directly from the alpha-particle spectra, also differs from calculated spectra used in predicting displacement damage.