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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. Yilmaz, F. G. Hammitt
Nuclear Science and Engineering | Volume 63 | Number 3 | July 1977 | Pages 319-329
Technical Paper | doi.org/10.13182/NSE77-A27043
Articles are hosted by Taylor and Francis Online.
The effects of fast-neutron irradiation and a 6-kG magnetic field on the nuclei spectra and cavitation inception thresholds are examined in water. Nuclei spectra are measured using a light-scattering technique. An acoustic vibratory horn assembly was used for cavitation generation. It was found that fast-neutron irradiation increased the total number of nuclei above ∼4 µm in diameter by ∼1% and decreased the cavitation inception threshold by ∼3%. No measurable effect of the magnetic field was found on either nuclei count (and spectrum) or the cavitation threshold.
