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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.
T. Itoh, T. Hayashi, K. Isobe, K. Kobayashi, T. Yamanishi
Fusion Science and Technology | Volume 52 | Number 3 | October 2007 | Pages 701-705
Technical Paper | The Technology of Fusion Energy - Tritium, Safety, and Environment | doi.org/10.13182/FST07-A1572
Articles are hosted by Taylor and Francis Online.
In order to handle high-level tritiated water (HTO) safely, the self-decomposition behavior has been investigated as functions of tritium concentration (from 16 GBq/cm3 to 2 TBq/cm3) and storage temperature (269K ~ 303K). The representative decomposition products such as H2 in the gas phase and H2O2 in the liquid phase were measured periodically, storing HTO in a leak-tight vessel. The effective production rate of H2 increased with tritium concentration, however, the normalized production rate by tritium decay, like effective G-value, decreased with tritium concentration. The effective production rate of H2O2 also increased with tritium concentration and the normalized one also decreased under consideration of its natural decomposition rate, though it thought that the almost H2O2 calculated by the reported G-value decomposed by extra stimulus in tritiated water. The effective production rates of H2 and H2O2 increased with temperature.