Deep Learning Model Accurately Predicts Ignition in Inertial Confinement

Deep Learning Model Accurately Predicts Ignition in Inertial Confinement

In a groundbreaking advancement for the field of nuclear fusion, researchers led by Brian Spears have successfully developed a generative machine learning model capable of accurately predicting the outcome of inertial confinement fusion experiments at the U.S. National Ignition Facility (NIF). This breakthrough model forecasts fusion ignition events with a probability exceeding 70%, marking a substantial leap forward in our ability to foresee an…