Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) (World Scientific Series On Emerging Technologies): 1 (World ... Avram Bar-cohen Memorial Series) - Hardcover

Surya Kalidindi; Sergei V Kalinin; Turab Lookman; Kerstin Kleese Van Dam; Kevin Yager; Stuart Campbell; Richard Farnsworth; Maartje Van Dam; Ian Foster

 
9789811204449: Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes) (World Scientific Series On Emerging Technologies): 1 (World ... Avram Bar-cohen Memorial Series)

Synopsis

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.

"synopsis" may belong to another edition of this title.

From the Back Cover

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.

"About this title" may belong to another edition of this title.