Machine learning methodologies have played remarkable roles in solving complex systems with large data, well-defined input–output pairs, and clearly definable goals metrics. The are effective image analysis, classification, without long chains of logic. Recently, machine-learning been widely applied to inertial confinement fusion (ICF) capsules the design optimization OMEGA (Omega Laser Facilit...

Abstract Pulse shaping is a powerful tool for mitigating implosion instabilities in direct-drive inertial confinement fusion (ICF). However, the high-dimensional and nonlinear nature of implosions makes pulse optimization quite challenging. In this research, we develop machine-learning shape designer to achieve high compression density stable implosion. The facility-specific laser imprint patte...