Deep learning model successfully predicted ignition in inertial confinement fusion experiment
Brian Spears and colleagues built a generative machine learning model that was used to successfully predict the outcome of a recent fusion ignition experiment at the U.S. National Ignition Facility (NIF). Their model predicted, with a probability greater than 70%, that ignition was the most likely outcome of the experiment. The findings could guide researchers working on future inertial confinement fusion experiments, which use energetic lasers to compress and heat a capsule of hydrogen isotopes to create nuclear reactions that produce fusion energy. Ignition ...