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Conference Spotlight
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.
B. Strohmaier, M. Uhl, W. K. Matthes
Nuclear Science and Engineering | Volume 65 | Number 2 | February 1978 | Pages 368-384
Technical Paper | doi.org/10.13182/NSE78-A27164
Articles are hosted by Taylor and Francis Online.
Average neutron-induced reaction cross sections for 134–138Ba (the barium isotopes of mass number 134 through 138) for incident energies between 20 keV and 20 MeV have been calculated by means of the optical and the statistical model with consideration of preequilibrium emission. The calculations comprise the total, the nonelastic, the differential elastic, and the (n,γ), (n,xnγ), (n,pγ), (n,pnγ), and (n,npγ) cross sections, as well as the production spectra of neutrons, protons, and gamma rays. For the model calculations, a consistent set of parameters based as much as possible on experimental data was employed. The computed cross sections are compared to available experimental results. Since such theoretical calculations are also of importance for nuclear data evaluation in cases where no experimental data exist, accuracy estimates of the predicted cross sections are given.