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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.
D. M. Barton, B. C. Diven, G. E. Hansen, G. A. Jarvis, P. G. Koontz, R. K. Smith
Nuclear Science and Engineering | Volume 60 | Number 4 | August 1976 | Pages 369-382
Technical Paper | doi.org/10.13182/NSE76-A26898
Articles are hosted by Taylor and Francis Online.
The ratio of the fission cross section of 235U to the scattering cross section of 1H has been measured in the 1- to 6-MeV range using monoenergetic neutrons from a pulsed 3H(p, n)3He source. In this measurement, solid-state detectors determined fission fragment and recoil proton emissions from back-to-back U(99.7%) and polyethylene disks. Timing permitted discrimination against room-scattered neutron backgrounds. Absolute values for 235U(n, f) are obtained using the Hopkins-Breit evaluation of the hydrogen-scattering cross section.