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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.
E. Greenspan, Y. Karni
Nuclear Science and Engineering | Volume 66 | Number 2 | May 1978 | Pages 193-204
Technical Paper | doi.org/10.13182/NSE78-A27200
Articles are hosted by Taylor and Francis Online.
Effects of fine-structure fluctuations in the importance function spectrum on the accuracy of the reactivity-reaction-rate (RRR) method for the determination of the effective capture-to-fission ratio () are investigated using a simple single-resonance model. It is found that multigroup calculations with flux-averaged group constants do not adequately take these effects into account. This can impair the accuracy of the value of determined by the RRR method. A prescription for accurately taking the fine-structure spectral effects into account is given.
