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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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.
G. S. Khandelwal, W. M. Pritchard, J. J. Singh
Nuclear Science and Engineering | Volume 60 | Number 4 | August 1976 | Pages 481-482
Technical Note | doi.org/10.13182/NSE76-A26910
Articles are hosted by Taylor and Francis Online.
A procedure is described for calculating approximate photoneutron yields from thick beryllium targets exposed to the x radiation produced in thick tungsten targets bombarded with 2- → 8-MeV electrons. It is based on empirical relations developed for predicting the average thick tungsten target radiation yield and the average beryllium photoneutron cross section for the selected incident electron energy.