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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.
T. A. Gabriel, J. D. Amburgey, N. M. Greene
Nuclear Science and Engineering | Volume 61 | Number 1 | September 1976 | Pages 21-32
Technical Paper | doi.org/10.13182/NSE76-A28457
Articles are hosted by Taylor and Francis Online.
A data base of primary knock-on atom spectra and an analysis program have been created to assist experimentalists in studying, evaluating, and correlating radiation-damage effects in different neutron environments. Since experimentally obtained typical controlled thermonuclear reactor (CTR) neutron spectra are not presently available, the data base can be extremely useful in relating currently obtainable radiation damage to that anticipated in future fusion devices. However, the usefulness of the data base is not restricted to only CTR needs. Most of the elements of interest to the radiation-damage community and all neutron reactions of any significance for these elements have been processed, using available ENDF/B-IV cross-section data, and are included in the data base. Calculated data such as primary knock-on atom spectra, displacement rates, and gas production rates, obtained with the data base, for different radiation environments are presented and compared with previous calculations.