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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.
Makoto Tsuiki, Katsutada Aoki, Sadanori Yoshimura
Nuclear Science and Engineering | Volume 64 | Number 3 | November 1977 | Pages 724-732
Technical Paper | doi.org/10.13182/NSE77-A27101
Articles are hosted by Taylor and Francis Online.
A theoretical background for the convergence of void iterations in boiling water reactor (BWR) core calculations is considered. First, the process of each void-iteration step is interpreted as a transformation in a set of vectors representing the characteristics of the core, and the condition for convergence is derived in terms of the spectral radius of the transformation operator. Second, to visualize the convergence condition, the concept of a trajectory of channel power is introduced. Third, it is explained that the spectral radius of the transformation operator can be changed by changing the number of source iterations within each void iteration step. Based on this analysis, an optimum number of source iterations, when the Chebyshev polynomial acceleration technique is employed, is estimated for a typical BWR core. Numerical examples, presenting both divergent and convergent cases, show the validity of the present theoretical analysis.