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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.
B. R. Wienke
Nuclear Science and Engineering | Volume 60 | Number 1 | May 1976 | Pages 101-103
Technical Note | doi.org/10.13182/NSE76-A26863
Articles are hosted by Taylor and Francis Online.
Equivalence between a proposed Lorentz invariant and the standard Lorentz transformed description of the radiative scattering kernel is established for arbitrary distributions of moving electrons, contraindicating the suggestion that additional, or extraneous, terms appear in the invariant description.