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Conference Spotlight
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.
M. Rajagopalan, H. S. Pruys, A. Grütter, H. R. von Gunten, E. A. Hermes, R. Richmond, E. Rössler, A. Schmid, P. Wydler
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 414-419
Technical Paper | doi.org/10.13182/NSE75-A26796
Articles are hosted by Taylor and Francis Online.
The yields of 27 mass chains in the fission of 235U and the ratio of fast-neutron to thermal-neutron fission yields (the “R” value) of 21 mass chains in the fission of 239Pu induced by fast neutrons (median energy ∼180 keV) have been measured in the reactor PROTEUS. The yields were obtained by a comparison method using gamma-ray spectroscopy. The data show that, in agreement with other authors, yields in the peaks of the mass distribution do not change compared to thermal-neutron-induced fission.
