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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.
Trine-Yie Dawn, Chio-Min Yang
Nuclear Science and Engineering | Volume 65 | Number 3 | March 1978 | Pages 508-513
Technical Paper | doi.org/10.13182/NSE78-A27181
Articles are hosted by Taylor and Francis Online.
Based on the one-delay-group point reactor model, the influence of the transport time delay on the nature of the linear stability of reactor dynamics is studied with the aid of the method of D partitions. From our analysis, the stability domain can be easily determined and plotted in the parametric space. The domain of the linear stability is significantly altered by the delayed temperature feedback. Comparing the stability domain of the one-group model with the effective lifetime model and Welton's criterion, we obtain the following conclusions: 1. The straight line obtained from Welton's criterion is a tangent line of the dynamic stability boundary of the effective lifetime model. 2. The effective lifetime model is a safe estimation of the linear stability only when the delayed neutron precursor decay constant is greater than the reciprocal time constant for heat removal.
