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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.
Joel Weisman, Robert W. Bowring
Nuclear Science and Engineering | Volume 57 | Number 4 | August 1975 | Pages 255-276
Critical Review | doi.org/10.13182/NSE75-A15419
Articles are hosted by Taylor and Francis Online.
The mathematical models and numerical techniques used far detailed, steady-state, thermal, and hydraulic analysis of water-cooled reactors are critically reviewed. It is concluded that the agreement between prediction and experiment is sufficiently close to validate the general approach. Further improvements in the models for cross flow and two-phase mixing are desirable. Future modeling that specifically accounts for the annular flow pattern at high qualities is suggested.