Machine Learning Optimizes High-power Laser Experiments

A team of international scientists have successfully used machine learning to optimize a high-intensity, high-repetition-rate laser for use in commercial fusion energy plants and advanced compact radiation sources. The machine learning algorithm was able to make adjustments to the laser pulse shape in real time, resulting in a significant increase in total ion yield. The researchers conducted experiments at the Extreme Light Infrastructure (ELI) for three weeks, with the laser firing up to 500 times per day.