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Conference Spotlight
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.
W. C. Peterson, M. G. Zaalouk, S. İ. Güçeri
Nuclear Science and Engineering | Volume 61 | Number 2 | October 1976 | Pages 250-257
Technical Paper | doi.org/10.13182/NSE76-A27358
Articles are hosted by Taylor and Francis Online.
This is part of a series of experimental investigation and analysis of the boiling phenomena. Previously, pool boiling experiments were carried out in all boiling regions, following the design and construction of a feedback control system that allowed process operation at any point on the boiling curve including the unstable region, which is referred to here as the transition or negative-h boiling region. This paper reports the results of flow boiling dynamic analysis in this region with the necessary modifications of formulas presented earlier to properly represent the flow boiling case; in addition, this analysis gives more insight into the characteristics of a boiling region, which is often considered desirable to avoid for many engineering applications because of the characteristic instability.