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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. V. N. Sarma, K. Narasimha Murty, V. V. V. Subrahmanyam
Nuclear Science and Engineering | Volume 61 | Number 2 | October 1976 | Pages 195-200
Technical Paper | doi.org/10.13182/NSE76-A27352
Articles are hosted by Taylor and Francis Online.
The external bremsstrahlung (EB) spectra generated by the complete absorption of 91Y and 204Tl beta rays in aluminum, copper, tin, and lead are experimentally measured with a multi-channel NaI(Tl) scintillation spectrometer along with a suitable geometrical arrangement. After being corrected for different possible factors, the measured EB distributions are compared with the modified Bethe-Heitler theory. It is observed that except in the case of very light elements, like aluminum, where there is an exact coincidence between theory and experiment, in general, the experimental values are greater than the theoretical ones. This difference increases with increasing photon energy and also with increasing atomic number of the target element, an observation found to compare favorably with most of the earlier findings.