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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.
R. V. Jensen, D. E. Post, D. L. Jassby
Nuclear Science and Engineering | Volume 65 | Number 2 | February 1978 | Pages 282-289
Technical Paper | doi.org/10.13182/NSE78-A27157
Articles are hosted by Taylor and Francis Online.
Using the most recent evaluations of power loss by impurity radiation, we have calculated the maximum permitted impurity concentration for various species as a function of Q, the ratio of deuterium-tritium (D-T) fusion power to injected beam power. These criteria for maximum impurity concentration must be satisfied before applying the usual neτE versus Ti conditions for obtaining a given Q value. For ,l the critical impurity concentration fcz varies as Z−2.2 to −2.5. The tolerable concentration of medium- and high-Z impurities for operation at low can be at least one order of magnitude larger than the concentration allowed for ignition, provided that the plasma temperature is maintained by reacting ion beams.