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Latest News
PPPL-led STELLAR-AI to advance fusion research
Princeton Plasma Physics Laboratory is leading a new initiative with the goal of using AI technology to accelerate the development of fusion energy research through high-fidelity computer simulations. The project includes national laboratories, universities, technology companies, and other partners.
Simulation, Technology, and Experiment Leveraging Learning-Accelerated Research enabled by AI (STELLAR-AI) has been developed as part of the Department of Energy’s Genesis Mission, which was established by presidential executive order last year to speed up the application of AI in scientific research.
Derek William Schmidt, Patrick Mark Donovan, Stephanie Lynn Edwards, Franklin Fierro, Brian Michael Haines, Christopher Eric Hamilton, Paul Arthur Keiter, Eric Nicholas Loomis, Tana Morrow, Sasikumar Palaniyappan, Brian M. Patterson, Randall Blaine Randolph, Harry F. Robey, Joshua Paul Sauppe, David James Stark, Douglas R. Vodnik
Fusion Science and Technology | Volume 79 | Number 7 | October 2023 | Pages 754-760
Research Article | doi.org/10.1080/15361055.2023.2213812
Articles are hosted by Taylor and Francis Online.
The Double Shell Program at Los Alamos National Laboratory is studying an alternative platform for achieving robust alpha-particle heating at the National Ignition Facility. Double shells benefit from having a low convergence ratio and lower predicted temperature for achieving volume ignition. The joint required to assemble a double shell has an imperfection in the outer shell that seeds instabilities that can greatly impact the inner capsule’s implosion at bang time. Different variations of the shape and placement of the joint were implemented with improvements in the quality of the machining leading to measurable improvements in yield. High-Z coatings on the outer joint mitigated the impact of the 1- to 2-μm gap sometimes found in double shell assemblies.