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Elsevier Informatics for Materials Science and Engineering - Data-Driven Discovery

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Description

Informatics for Materials Science and Engineering explores how data-driven discovery accelerates experimentation and application in modern materials research. This Elsevier publication addresses the critical challenge of managing the vast data generated by combinatorial and high-throughput analytical techniques. The book combines traditional informatics approaches with computational methodologies to support more efficient research strategies, helping materials scientists identify time- and cost-effective analysis methods. By tackling the complex, multi-factor analyses required to understand quantitative data avalanches, this resource equips researchers and engineers with practical frameworks for leveraging informatics to streamline material discovery, maturation, and development processes.

Key Features

Combines traditional bio-led informatics with computational methodologies for materials science research and development.

Addresses data management strategies for high-throughput analytical techniques and combinatorial experimentation in materials discovery.

Provides frameworks for analysing complex, multi-factor datasets generated by modern analytical methods.

Supports time- and cost-effective research strategies through data-driven discovery approaches.

Published by Elsevier and Butterworth-Heinemann, recognised authorities in science and engineering publications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
12 June 2013
Listed Since
14 December 2012

Barcode

No barcode data available

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