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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.
William Primak
Nuclear Science and Engineering | Volume 65 | Number 1 | January 1978 | Pages 141-145
Technical Note | doi.org/10.13182/NSE78-A27132
Articles are hosted by Taylor and Francis Online.
Several properties of vitreous silica relevant to application as an optical element in a reactor were studied, including density, refractive index, optical path, stress relaxation, and optical absorption. The irradiations were in fields characteristic of the fuel regions of several operating reactors and at temperatures up to 370°C. The radiation-induced changes in optical path are significant, but are much smaller than those in the density and refractive index because the last two are of opposite sign. The thermal coefficient of optical path causes changes of comparable magnitude. Optical absorption is not a serious matter in the upper end of the visible region.