1-Oct-2025
New AI enhances the view inside fusion energy systems
Princeton UniversityPeer-Reviewed Publication
A new AI can fill in missing sensor data for fusion systems, offering even more detail than the real-world sensor could have provided. The AI, known as Diag2Diag, could prove essential for commercial fusion energy production by helping to reduce costs and ensure reliability. Diag2Diag also provided new support for a leading theory about controlling plasma disruptions, bringing us closer to using fusion to generate electricity for the power grid. Researchers from the U.S. Department of Energy’s Princeton Plasma Physics Laboratory and Princeton University were part of an international team behind the research, which was recently published in Nature Communications.
- Journal
- Nature Communications
- Funder
- DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, DOE/US Department of Energy, National Research Foundation of Korea, Princeton Laboratory for Artificial Intelligence