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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.
W. G. Cross, H. Ing
Nuclear Science and Engineering | Volume 58 | Number 4 | December 1975 | Pages 377-386
Technical Paper | doi.org/10.13182/NSE75-A26794
Articles are hosted by Taylor and Francis Online.
Empirical expressions are given for the excitation functions of a number of (n, n'), (n, p), and (n, f) reactions useful in the dosimetry of fast neutrons. For fission cross sections, the expressions are fitted to existing evaluations while for activation cross sections, they are fitted to recent experimental data. Average cross sections, derived from these expressions, for various fission neutron spectra are compared with measured values.