Handbook on Big Data and Machine Learning in the Physical Sciences (in 2 Volumes) (Hardcover) (ISBN-13: 9789811204449)

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.

Author: Sergei V. Kalinin
ISBN-10: 9811204446
ISBN-13: 9789811204449
Publisher: World Scientific Publishing Company
Language: English
Published: 05/11/2020
Pages: 1000
Format: Hardcover
Weight: 4.55lbs
Size: 9.90h x 7.00w x 2.50d