Abstract

On Sandia’s Z machine, Magnetized Liner Inertial Fusion (MagLIF) is a key pulsed-power approach, being the first magneto-inertial fusion concept to achieve fusion-relevant temperatures alongside significant neutron production. Given the complexity and high cost of plasma physics experiments, it is essential to utilize modeling and simulation to design high-performing MagLIF targets efficiently. This work explores the application of uncertainty quantification and optimization techniques to enhance the target design process, aiming to accelerate the exploration of high-dimensional design spaces and ultimately discover novel, high-performing concepts. We discuss both methodological and practical challenges associated with optimization for such complex systems and demonstrate our approach using composite MagLIF liners simulated with the radiation magneto-hydrodynamics code Kraken.