Machine Learning Boosts X-ray Absorption Spectroscopy Speed

LLNL scientists have developed a new approach that combines machine learning with X-ray absorption spectroscopy to rapidly predict the structure and chemical composition of heterogeneous materials. This approach offers insights into the local atomic structure and can be used for automated characterization of complex materials.