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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.
K. Clausen, U. Roose, P. Schneider-Kühnle, F. W. Buchholz, L. Schänzler, S. Stüker, G. Tumbrägel, M. Weinert
Nuclear Science and Engineering | Volume 63 | Number 4 | August 1977 | Pages 493-500
Technical Note | doi.org/10.13182/NSE77-A27063
Articles are hosted by Taylor and Francis Online.
To provide data for testing nitrogen and oxygen cross-section sets, transport of neutrons from a 252Cf source was investigated in a large volume of liquid air. Neutron energy spectra and doses were measured at distances between 30 and 230 cm from the source. Proton recoil proportional counters and NE-213 scintillation detectors were used to obtain energy spectra from 40 keV up to 10 MeV. Different computer programs were employed to unfold the pulse-height spectra. Dose measurements were made using a tissue equivalent ionization chamber and a GM counter. The results are compared with theoretical transport calculations performed with the ANISN code. In general, there is good agreement between the calculations and measurements up to the largest distances.