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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. A. Fischer
Nuclear Science and Engineering | Volume 62 | Number 1 | January 1977 | Pages 105-116
Technical Paper | doi.org/10.13182/NSE77-4
Articles are hosted by Taylor and Francis Online.
Integral measurements of delayed neutron fractions in fast reactor spectra by two different techniques were carried out. The worth of a calibrated 252Cf spontaneous fission source, together with absolute fission rates and with the normalization integral obtained from fission rate mapping, gives experimental values for the effective delayed neutron fraction of a critical assembly. These measurements were performed in three PUO2-UO2 fueled assemblies and in one UO2 fueled assembly. The pile oscillator technique was used to determine relative yields of delayed neutrons from 235U, 238U, and 239Pu. The results confirm the evaluated yields by Tuttle, with a slight bias toward a higher 239Pu yield. With these data, the central worth discrepancy disappears for SNEAK measurements.
