Informatics for Materials Science and Engineering: Data-driven Discovery for Accelerated Experimentation and Application
Language: English
Published by Butterworth-Heinemann, 2013
- Hardcover
- New

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In English.
Seller Inventory # ria9780123943996_new
- Title
- Informatics for Materials Science and Engineering: Data-driven Discovery for Accelerated Experimentation and Application
- Publisher
- Butterworth-Heinemann
- Publication year
- 2013
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 012394399X
- ISBN 13
- 9780123943996
- Item weight
- 1,000 grams
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
"Synopsis" may belong to another edition of this title.
About the Author
Dr Rajan received his undergraduate degree in Metallurgy and Materials Science from the University of Toronto followed by a doctorate in Materials Science from MIT with a minor in Science and Technology policy. He subsequently held post-doctoral appointments at MIT and Cambridge University. He was a staff scientist at the National Research Council of Canada, followed by faculty positions at Rensselaer Polytechnic Institute and Iowa State University before coming to the University at Buffalo as the founding chair of the MDI department. It is the first department that has its research and curriculum built around an informatics perspective of materials science and engineering.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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