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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.
L. Erradi, A. Santamarina, O. Litaize
Nuclear Science and Engineering | Volume 144 | Number 1 | May 2003 | Pages 47-73
Technical Paper | doi.org/10.13182/NSE144-47
Articles are hosted by Taylor and Francis Online.
The contributions of different physical phenomena to the reactivity temperature coefficient (RTC) in typical light water moderated lattices have been assessed. Using the APOLLO2 code with the CEA93 cross-section library based on JEF2.2 data, we have analyzed the main French experiments available on the RTC: the CREOLE and MISTRAL experiments. In these experiments performed in the EOLE critical facility located at CEA/Cadarache, the RTC has been measured in both UO2 and UO2-PuO2 pressurized water reactor-type lattices. Our calculations have shown that the calculation error in UO2 lattices is <1 pcm/°C, which is considered as the target accuracy for reactor design calculations. On the other hand the calculation error in mixed oxide lattices is more significant in both low- and high-temperature ranges: An average error of -2 ± 0.5 pcm/°C is observed at low temperatures, and an error of +3 ± 2 pcm/°C is obtained for temperatures >250°C. Our analysis has shown that the negative error in the low-temperature range is linked to the thermal spectrum shift effect, which is strongly dependent on the thermal shapes of the cross sections of plutonium isotopes, whereas the positive error in the high-temperature range is mainly linked to the water density effects.
