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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.
L. Green
Nuclear Science and Engineering | Volume 66 | Number 1 | April 1978 | Pages 127-134
Technical Note | doi.org/10.13182/NSE78-A15197
Articles are hosted by Taylor and Francis Online.
The shape of the thorium absorption cross section near thermal energies was investigated. This shape is dominated by one or more negative energy resonances whose parameters are not directly known but must be inferred from higher energy data. Since the integral quantity most conveniently describing the thermal cross-section shape is the Westcott g-factor, effort was directed toward establishing this quantity to high precision. Three nearly independent g-factor estimates were obtained from measurements on a variety of foils in three different neutron spectra provided by polyethylene-moderated neutrons from a 252Cf source and from irradiations in the National Bureau of Standards “Standard Thermal Neutron Density.” The weighted average of the three measurements was 0.990 ± 0.009. This is in good agreement with two recent evaluations and supports the adequacy of the current cross-section descriptions.