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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.
Nikolaus Christiansen, Derek Schmidt, John Martinez, Valerie Fatherley, Justin Jorgenson, Noah Birge, Verena Geppert-Kleinrath, Carl Wilde
Fusion Science and Technology | Volume 79 | Number 7 | October 2023 | Pages 907-913
Research Article | doi.org/10.1080/15361055.2023.2210298
Articles are hosted by Taylor and Francis Online.
The neutron pinhole array, used to collect neutron burn, X-ray, and more recently, gamma emission images, has been in use at the National Ignition Facility since 2011. Since then, there has been the ever-continuing challenge of meeting tighter alignment and resolution requirements. Part of that challenge is being able to accurately characterize the as-built variances from the nominal design associated with the manufacturing and assembly of the pinhole array. To overcome this specific challenge, multiple processes are taken to obtain high-precision profiles of the various features of each pinhole array. This paper highlights the processes used as well as the steps taken to compile the significant amount of data and turn it into an accurate as-built reconstructed model of the NIS1-U–assembled pinhole array.