| Description |
1 online resource (xv, 525 pages) |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Note |
Print version record. |
| Bibliography |
Includes bibliographical references and index. |
| 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. |
| 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. |
| Subject |
Materials science -- Data processing.
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Science des matériaux -- Informatique.
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TECHNOLOGY & ENGINEERING -- Material Science.
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Materials science -- Data processing
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| Added Author |
Rajan, Krishna, editor.
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| Other Form: |
Print version: Informatics for materials science and engineering. Amsterdam : Butterworth-Heinemann, 2013 9780123943996 (OCoLC)844871870 |
| ISBN |
9780123946140 (electronic bk.) |
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012394614X (electronic bk.) |
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9780123943996 |
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012394399X |
| Standard No. |
AU@ 000056874213 |
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DEBBG BV042316823 |
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DEBSZ 405349750 |
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DEBSZ 481274391 |
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NZ1 15194372 |
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