Machine learning in laser-induced breakdown spectroscopy as a novel approach towards experimental parameter optimization

Samples with different mechanical and physical properties were measured by LIBS under diverse experimental conditions. The results were used to train a neural network. By means of the neural network, the optimisation process was significantly reduced.