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November 9–12, 2025
Washington, DC|Washington Hilton
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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.
Thomas J. Seed, Robert W. Albrecht
Nuclear Science and Engineering | Volume 60 | Number 4 | August 1976 | Pages 346-356
Technical Paper | doi.org/10.13182/NSE76-A26896
Articles are hosted by Taylor and Francis Online.
The results obtained from the solution of the expansion coefficient equations obtained in the preceding paper for the Walsh approximation are given for both one and two dimensions. Since the one-dimensional analysis was performed mainly to lay a foundation for the two-dimensional analysis, only a brief summary of the one-dimensional results is given. The two-dimensional analysis was performed on a problem type that accentuates ray effects. Solutions obtained with various Walsh and Gauss-Walsh quadrature sets are shown; these solutions provide substantial mitigation of the ray effect, yet retain a reasonable degree of accuracy in the calculation of volumetric reaction rates.