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

Description: 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 have 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. The work, from Krishna Rajan, the leading exponent of the informatics approach to materials, seeks to break down the barriers among data management, quality standards, data mining, exchange, 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.

Price: 193 AUD

Location: Hillsdale, NSW

End Time: 2025-01-26T06:14:37.000Z

Shipping Cost: 24.91 AUD

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Informatics for Materials Science and Engineering: Data-Driven Discovery forInformatics for Materials Science and Engineering: Data-Driven Discovery for

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EAN: 9780123943996

UPC: 9780123943996

ISBN: 9780123943996

MPN: N/A

Book Title: Informatics for Materials Science and Engineering:

Item Length: 22.9 cm

Number of Pages: 542 Pages

Publication Name: Informatics for Materials Science and Engineering: Data-driven Discovery for Accelerated Experimentation and Application

Language: English

Publisher: Elsevier-Health Sciences Division

Item Height: 229 mm

Publication Year: 2013

Type: Textbook

Item Weight: 910 g

Subject Area: Mechanical Engineering

Author: Krishna Rajan

Item Width: 152 mm

Format: Hardcover

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