## Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 leading journals. To access a ChemInform Abstract, please click on HTML or PDF.
Combinatorial and High-Throughput Methods in Macromolecular Materials Research and Development
✍ Scribed by Dean C. Webster
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 474 KB
- Volume
- 209
- Category
- Article
- ISSN
- 1022-1352
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Combinatorial and high‐throughput experimentation is used to accelerate the rate of experimentation in macromolecular science. Combinatorial and high‐throughput methods are used in macromolecular science to discover and optimize catalysts for polymerization reactions, discover compositions that have specific desired properties, and systematically explore polymer structure–property relationships. The use of high‐throughput methods can enable the discovery of complex catalyst systems or polymer compositions that would not be feasible using conventional experimental methods. In addition, combinatorial data can be used as inputs into computer models to enable the accurate prediction of material properties as a function of composition.
magnified image
📜 SIMILAR VOLUMES
During the last decade, combinatorial and high-throughput techniques have revolutionized the way of performing research in biochemistry, genetics and the pharmaceutical industry. The present research and product development in these areas cannot be imagined without the extensive application of a wid
## Abstract **Summary:** Emerging from the field of biochemistry and pharmaceutical research, combinatorial and high‐throughput synthesis and screening methodologies are rapidly being adopted in polymer and materials research. Alternative solutions to cost intensive custom‐made synthetic robot syst