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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.
C. Wagemans, A. J. Deruytter
Nuclear Science and Engineering | Volume 60 | Number 1 | May 1976 | Pages 44-52
Technical Paper | doi.org/10.13182/NSE76-A26856
Articles are hosted by Taylor and Francis Online.
The neutron-induced fission cross section of 241Pu was measured at an 8-m-long flight path of the CBNM Linac from 50 to 0.01 eV, allowing a direct normalization to the 2200 m/sec reference cross section. The fission reaction rate and the neutron flux were determined simultaneously with surface barrier detectors placed on each side of back-to-back 241Pu and 10B layers. The fission cross section was calculated assuming a 1/v behavior of the 10B(n,α)7 Li cross section. Several fission and resonance integrals were calculated from the normalized σf versus energy curve and compared with other results. Also, the 20.44°C Westcott factor, gf, was calculated to be 1.046 ± 0.006.
