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基本説明
Describes new developments and research results in catalysts, biomaterials, and nanomaterials, and informatics approaches to analyze CombiSci data, more.
Full Description
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 concepts
Discusses the development and use of CombiSci for the systematic and accelerated investigation of new phenomena and of the complex structure-function interplay in materials
Covers the development of new library design strategies for materials processing and for high-throughput tools for rapid sampling
Uses 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.
Contents
Chapter 1: Combinatorial Materials Science: Measures of Success (Michael J. Fasolka and Eric J. Amis). Chapter 2: Experimental Design in High Throughput Systems (James N. Cawse).
Chapter 3: Polymeric Discrete Libraries for High-Throughput Materials Science: Conventional and Microfluidic Library Fabrication and Synthesis (Kathryn L. Beers and Brandon M. Vogel).
Chapter 4: Strategies in the Use of Atomic Force Microscopy as a Multiplexed Readout Tool of Chip-Scale Protein Motifs (Jeremy R. Kenseth, Karen M. Kwarta, Jeremy D. Driskell, and Marc D. Porter, John D. Neill and Julia F. Ridpath).
Chapter 5: Informatics Methods for Combinatorial Materials Science (Changwon Suh, Krishna Rajana, Brandon M. Vogel, Balaji Narasimhan, and Surya K. Mallapragada).
Chapter 6: Combinatorial Approaches and Molecular Evolution of Homogeneous Catalysts (L. Keith Woo).
Chapter 7: Biomaterials Informatics (Nicole K. Harris, Joachim Kohn, W.J. Welsh, and Doyle Knight).
Chapter 8: Combinatorial Methods and their Application to Mapping Wetting-Dewetting Transition Lines on Gradient Surface Energy Substrates (D. Raghavan, K. M. Ashley, A. Seghal, J. F. Douglas, and A. Karim).
Chapter 9: Combinatorial Materials Science: Challenges and Outlook (Balaji Narasimhan, Surya K. Mallapragada, and Marc D. Porter).
