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

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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Rajan, Krishna (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Butterworth-Heinemann, 2013.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Informatics for materials science and engineering :  |b data-driven discovery for accelerated experimentation and application /  |c edited by Krishna Rajan. 
264 1 |a Amsterdam :  |b Butterworth-Heinemann,  |c 2013. 
300 |a 1 online resource (xv, 525 pages) 
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588 0 |a Print version record. 
504 |a Includes bibliographical references and index. 
505 0 |a 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. 
520 |a 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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