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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.
Katsuhisa Kudo, Masakuni Narita, Yasutomo Ozawa
Nuclear Science and Engineering | Volume 58 | Number 1 | September 1975 | Pages 95-98
Technical Note | doi.org/10.13182/NSE75-A26770
Articles are hosted by Taylor and Francis Online.
The effects of the presence of a central cavity on the space- and time-dependent neutron energy spectrum in a fast-neutron multiplying system are analyzed as a fundamental time eigenvalue problem by use of the telegrapher’s equation. The computational results show that the cavity cooling occurs in the fast 235U system with a fundamental time eigenvalue. The results of the telegrapher’s equation are compared with those from the time-dependent Sn method.
