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. It identifies and analyzes
interdisciplinary strategies (including combinatorial
and high throughput approaches) that accelerate
materials development cycle times and reduces associated
costs. It offers mathematical and computational analysis
that aids formulation of new structure-property
correlations among large, heterogeneous, and distributed
data sets. It includes practical examples, computational
tools, and software analysis that benefits rapid
identification of critical data and analysis of
theoretical needs for future problems.
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