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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.
Yuji Ishiguro, José Rubens Maiorino
Nuclear Science and Engineering | Volume 63 | Number 4 | August 1977 | Pages 507-509
Technical Note | doi.org/10.13182/NSE77-A27066
Articles are hosted by Taylor and Francis Online.
The singular-eigenfunction-expansion method and the principle of invariance are combined to reduce the two-half-space Milne problem to a regular computational form in the two-group isotropic scattering model. The method used here consists in considering a problem of two contiguous half-spaces with surface sources at the interface. The problem is equivalent to the Milne problem in the sense that the expansion coefficients are to be determined from the same equation. The emergent distributions are obtained from coupled regular integral equations. The expansion coefficients can then be obtained using the halfrange orthogonality relation of the eigenfunctions. Numerical results are reported for light-water media.