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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.
William H. Miller, David Hollabaugh, Walter Meyer
Nuclear Science and Engineering | Volume 65 | Number 3 | March 1978 | Pages 554-557
Technical Note | doi.org/10.13182/NSE78-A27188
Articles are hosted by Taylor and Francis Online.
Angular dependent fast-neutron penetration spectra have been calculated and experimentally measured for fast neutrons non-normally incident on water slabs. Previously reported work has included a comprehensive set of experimental measurements for angular dependent penetration spectra measured for poly energetic fast neutrons normally incident on water slabs. Corresponding Monte Carlo calculated results were in good agreement and were tabulated for direct calculations of penetration spectra for complex geometries. The results of the experiments described here extend the applicability of these results for normal incidence to certain cases of non-normal incidence.
