Handbook On Big Data And Machine Learning In The Physical Sciences (In 2 Volumes)

Buch | Hardcover

1000 Seiten

2020
World Scientific Publishing Co Pte Ltd (Verlag)
978-981-12-0444-9 (ISBN)

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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.

Erscheinungsdatum	12.05.2020
Reihe/Serie	World Scientific Series On Emerging Technologies: Avram Bar-cohen Memorial Series ; 1
Mitarbeit	Chef-Herausgeber: Sergei V Kalinin, Ian T Foster
Verlagsort	Singapore
Sprache	englisch
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
ISBN-10	981-12-0444-6 / 9811204446
ISBN-13	978-981-12-0444-9 / 9789811204449
Zustand	Neuware