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Hierarchical materials informatics : novel analytics for materials data /

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Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to...

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Bibliographic Details
Main Author: Kalidindi, Surya (Author)
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Published: Amsterdam : Butterworth-Heinemann is an imprint of Elsevier, [2015]
Subjects:
Materials science > Data processing.
Science des matériaux > Informatique.
TECHNOLOGY & ENGINEERING > Engineering (General)
TECHNOLOGY & ENGINEERING > Reference.
Materials science > Data processing
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:Custom design, manufacture, and deployment of new high performance materials for advanced technologies is critically dependent on the availability of invertible, high fidelity, structure-property-processing (SPP) linkages. Establishing these linkages presents a major challenge because of the need to cover unimaginably large dimensional spaces. Hierarchical Materials Informatics addresses objective, computationally efficient, mining of large ensembles of experimental and modeling datasets to extract this core materials knowledge. Furthermore, it aims to organize and present this high value kno.
Physical Description:1 online resource (ix, 219 pages) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9780124104556
012410455X