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2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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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.
John A. Rawlins, S. Christian Simonson III
Nuclear Science and Engineering | Volume 65 | Number 3 | March 1978 | Pages 565-567
Technical Note | doi.org/10.13182/NSE78-A27191
Articles are hosted by Taylor and Francis Online.
The Rossi alpha of the University of Maryland Reactor was measured at criticality and at shutdown by the Babala interval-distribution method. At criticality, αc = 145.8 ± 2.9 s−1. At shutdown, αs = 1025.8 ± 4.1 s−1. The shutdown reactivity was found to be ρs/β = −6.04 ± 0.14 dollars. An inverse kinetics analysis of a rod-drop experiment gave ρs/β = −6.23 ± 0.13 dollars, which is consistent with the interval-distribution result.