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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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Nuclear Technology
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.
David D. Ebert
Nuclear Technology | Volume 58 | Number 2 | August 1982 | Pages 218-232
Technical Paper | Fission Reactor | doi.org/10.13182/NT82-A32933
Articles are hosted by Taylor and Francis Online.
Optimal control techniques can be classified into four categories: heuristic, variational, dynamic programming, and functional analysis. The heuristic method is an intuitive or “common sense” approach. The others rely on developing system models and mathematically defining a “performance index.” Some heuristic methods have been applied to operating reactors to date. Excessive fuel rod failure, unscheduled power cutbacks, inability to follow the load demand, excessive borated waste water generation, and operator inefficiency are some of the operational problems encountered today that could be at least partially ameliorated with more sophisticated optimal control techniques. To improve the effectiveness of optimal control methods, once they are implemented, certain changes in the control system design and operation are recommended. In-core detector analysis times need to be significantly reduced. A fuel failure monitor/predictor should be implemented. Control rod bank insertion programming and soluble boron control system design may be reconsidered. Improved flexibility in core-averaged temperature control is recommended. Finally, to accommodate the fast and accurate simulation of the plant and the incorporation of the optimal control programs, the plant computer system needs to be considerably upgraded.