Predicting fusion ignition at the National Ignition Facility with physics-informed deep learning
Brian K Spears1, Scott Brandon1, Dan T Casey1
1Lawrence Livermore National Laboratory, Livermore, CA, USA.
Abstract:
An inertial confinement fusion experiment, carried out at the National Ignition Facility, has achieved ignition by generating fusion energy exceeding the laser energy that drove the experiment. Prior to the experiment, a generative machine learning model that combines radiation hydrodynamics simulations, deep learning, experimental data, and Bayesian statistics was used to predict, with a probability greater than 70%, that ignition was the most likely outcome for this shot.
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