Combinatorial Materials Science
Book Details
Format
Hardback or Cased Book
ISBN-10
0471728330
ISBN-13
9780471728337
Publisher
John Wiley & Sons Inc
Imprint
Wiley-Interscience
Country of Manufacture
US
Country of Publication
GB
Publication Date
Oct 16th, 2007
Print length
248 Pages
Weight
481 grams
Dimensions
24.30 x 16.10 x 1.80 cms
Product Classification:
Materials science
Ksh 24,300.00
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This book describes new developments and research results in catalysts, biomaterials, and nanomaterials, and informatics approaches to analyze CombiSci data and:* Integrates the scientific fundamentals required to develop and apply CombiSci concepts to areas of National Need in materials.
Combinatorial Materials Science describes new developments and research results in catalysts, biomaterials, and nanomaterials, together with informatics approaches to the analysis of Combinatorial Science (CombiSci) data. CombiSci has been used extensively in the pharmaceutical industry, but there is enormous potential in its application to materials design and characterization. Addressing advances and applications in both fields, Combinatorial Materials Science: Integrates the scientific fundamentals and interdisciplinary underpinnings required to develop and apply CombiSci conceptsDiscusses the development and use of CombiSci for the systematic and accelerated investigation of new phenomena and of the complex structure-function interplay in materialsCovers the development of new library design strategies for materials processing and for high-throughput tools for rapid samplingUses a unique, unified approach of applying combinatorial methods to unravel the non-linear structure-function relationships in diverse materials (both hard and soft), together with advances in informatics With chapters written by leading researchers in their specialty areas, this authoritative guide is a must-have resource for scientists and engineers in materials science research, biochemists, chemists, immunologists, cell biologists, polymer scientists, chemical and mechanical engineers, statisticians, and computer scientists. It is also a great text for graduate-level courses in materials science/engineering, polymer science, chemical engineering, and chemistry.
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