Longer Wavelength Lasers for Inertial Fusion Energy with Laser-Plasma Instability Control: Machine Learning Optimum Spike Trains of Uneven Duration and Delay (STUD Pulses)
Project Innovation + Advantages:
Polymath Research will enable the use of longer-wavelength lasers for IFE. This project seeks to control LPI using pulses composed of Spike Trains of Uneven duration and Delay (STUD), a sequence of precisely timed laser pulses designed to disrupt LPI growth and memory build up in the plasma due to persistent self-organization of the plasma undergoing continuous and undisrupted laser energy deposition. The challenge is that with rather limited knowledge of the dynamic (micro-) state of the plasma, laser pulses composed of STUD must be devised to combat memory build up and exponential reamplification. The team will use data from simulation models and high-repetition-rate lasers to train a multitude of machine-learning algorithms to select optimal spike trains and define conditions where longer-wavelength, laser-triggered LPI can be successfully tamed. These predictions will then be tested in follow-on work on a laser facility operating at high energy.
Controlling LPI on the scale of instability growth times is a game changer for all laser-based IFE schemes.