Materials informatics: a hot topic area in materials science,
aims to combine traditionally bio-led informatics with
computational methodologies, supporting more efficient research by
identifying strategies for time- and cost-effective analysis.
The discovery and maturation of new materials has been outpaced
by the thicket of data created by new combinatorial and high
throughput analytical techniques. The elaboration of this
"quantitative avalanche"-and the resulting complex, multi-factor
analyses required to understand it-means that interest, investment,
and research are revisiting informatics approaches as a
solution.
This work, from Krishna Rajan, the leading expert of the
informatics approach to materials, seeks to break down the barriers
between data management, quality standards, data mining, exchange,
and storage and analysis, as a means of accelerating scientific
research in materials science.
This solutions-based reference synthesizes foundational
physical, statistical, and mathematical content with emerging
experimental and real-world applications, for interdisciplinary
researchers and those new to the field.
Identifies and analyzes interdisciplinary strategies (including
combinatorial and high throughput approaches) that accelerate
materials development cycle times and reduces associated costs
Mathematical and computational analysis aids formulation of new
structure-property correlations among large, heterogeneous, and
distributed data sets
Practical examples, computational tools, and software analysis
benefits rapid identification of critical data and analysis of
theoretical needs for future problems "
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