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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.
J. M. Sicilian, M. M. Anderson, Jr.
Nuclear Science and Engineering | Volume 57 | Number 1 | May 1975 | Pages 78-81
Technical Note | doi.org/10.13182/NSE75-A40345
Articles are hosted by Taylor and Francis Online.
The use of several mean-chord-length approximations to interface-currents matrix elements are investigated. On the basis of comparison with numerical integration, an approximate technique is proposed which greatly reduces the demands upon the storage and time capacities of the computer in performing interface-currents calculations in the multiple-mode angular current representation.
