Combinatorial and high-throughput methods in macromolecular materials research and development

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. [GRAPHICS]