This compendium provides a comprehensive collection of the emergent applications of big data, machine learning, and artificial
intelligence technologies to present day physical sciences ranging from materials theory and imaging to predictive synthesis
and automated research. This area of research is among the most rapidly developing in the last several years in areas spanning
materials science, chemistry, and condensed matter physics.Written by world renowned researchers, the compilation of two authoritative
volumes provides a distinct summary of the modern advances in instrument - driven data generation and analytics, establishing
the links between the big data and predictive theories, and outlining the emerging field of data and physics-driven predictive
and autonomous systems.