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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.
Yukio Ishiguro, Akira Hasegawa
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 786-791
Technical Note | doi.org/10.13182/NSE77-A27109
Articles are hosted by Taylor and Francis Online.
A simple and convenient method is developed to account for the neutron resonance mismatches due to the composition dissimilitude in the vicinity of gross region interfaces. It is shown that the effective resonance cross sections near a region interface can be obtained from the table-look-up of a cross-section set. The numerical results obtained with the present method are shown to be in an excellent agreement with the exact calculations using a computer code.
