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Informatics for materials science and engineering : data-driven discovery for accelerated experimentation and application

Author: Krishna Rajan
Publisher: Amsterdam : Butterworth-Heinemann, 2013.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Database:WorldCat
Summary:
This work aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis.
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Informatics for materials science and engineering.
Amsterdam : Butterworth-Heinemann, 2013
(OCoLC)844871870
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Krishna Rajan
ISBN: 9780123946140 012394614X
OCLC Number: 853506317
Description: 1 online resource (xv, 525 pages)
Contents: 1. Materials informatics : an introduction / Krishna Rajan --
2. Data mining in materials science and engineering / Chandrika Kamath and Ya Ju Fan --
3. Novel approaches to statistical learning in materials science / F.J. Alexander and T. Lookman --
4. Cluster analysis : finding groups in data / Joe Bible, Susmita Datta and Somnath Datta --
5. Evolutionary data-driven modeling / Nirupam Chakraborti --
6. Data dimensionality reduction in materials science / S. Samudrala, K. Rajan and B. Ganapathysubramanian --
7. Visualization in materials research : rendering strategies of large data sets / Aaron Bryden, Krishna Rajan and Richard LeSar --
8. Ontologies and databases --
knowledge engineering for materials informatics / Joseph Glick --
9. Experimental design for combinatorial experiments / James N. Cawse --
10. Materials selection for engineering design / Michael Ashby, Elizabeth Cope and David Cebon --
11. Thermodynamic databases and phase diagrams / S.K. Saxena --
12. Towards rational design of sensing materials from combinatorial experiments / Radislav Potyrailo --
13. High-performance computing for accelerated zeolitic materials modeling / Laurent A. Baumes, Frederic Kruger and Pierre Collet --
14. Evolutionary algorithms applied to electronic-structure informatics : accelerated materials design using data discovery vs. data searching / Duane D. Johnson --
15. Informatics for crystallography : designing structure maps / Krishna Rajan --
16. From drug discovery QSAR to predictive materials QSPR : the evolution of descriptors, methods, and models / Ke Wu [and four others] --
17. Organic photovoltaics / Carlos Amador-Bedolla [and three others] --
18. Microstructure informatics / Surya R. Kalidindi --
19. Artworks and cultural heritage materials : using multivariate analysis to answer conservation questions / Deborah Lau [and four others] --
20. Data intensive imaging and microscopy : a multidimensional data challenge / Krishna Rajan.
Responsibility: edited by Krishna Rajan.

Abstract:

Synthesizes foundational physical, statistical, and mathematical content with emerging experimental and real-world applications, for interdisciplinary researchers and those new to the field. This  Read more...

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"The first half of the volume sets out foundational aspects of data science, and the second half surveys applications in materials science using a case-study approach. The topics include novel Read more...

 
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