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.
HDBK BIG DATA & MACH LEARN (2V) [EPUB ebook]
(In 2 Volumes)Volume 1: Big Data Methods in Experimental Materials DiscoveryVolume 2: Advanced Analysis Solutions for Leading Experimental Techniques
(In 2 Volumes)Volume 1: Big Data Methods in Experimental Materials DiscoveryVolume 2: Advanced Analysis Solutions for Leading Experimental Techniques
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Idioma Inglés ● Formato EPUB ● Páginas 1000 ● ISBN 9789811204586 ● Tamaño de archivo 46.2 MB ● Editorial World Scientific Publishing Company ● Ciudad Singapore ● País SG ● Publicado 2020 ● Descargable 24 meses ● Divisa EUR ● ID 7726578 ● Protección de copia Adobe DRM
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