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

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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:
Materials science > Data processing.
Science des matériaux > Informatique.
TECHNOLOGY & ENGINEERING > Material Science.
Materials science > Data processing
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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