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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.
Shin-ichi Itoh, Hisashi Yamamoto
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 436-445
Technical Note | doi.org/10.13182/NSE75-A26799
Articles are hosted by Taylor and Francis Online.
A new continuous slowing-down theory developed is applied to the calculations of neutron spectra for elastic moderation in a fast reactor assembly. Our model is shown to yield very accurate results for the neutron spectra in the resolved resonance region of fuel materials and in the wide scattering resonance region, from comparison with the RABBLE calculations. The characteristic features of our slowing-down parameters are also studied for the anisotropic scattering in the center of mass system.
