首页> 外文会议>Symposium on Combinatorial and Artificial Intelligence Methods in Materials Scinece II; 20031201-20031204; Boston,MA; US >Combinatorial methods and high-throughput experimentation in synthetic polymer chemistry
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Combinatorial methods and high-throughput experimentation in synthetic polymer chemistry

机译:合成高分子化学中的组合方法和高通量实验

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摘要

Combinatorial chemistry has revolutionized the drug discovery as well as the catalyst discovery arid optimization process during the last years. Nowadays, triggered by these developments, combinatorial methods and parallel chemistry also emerge in the field of material and polymer chemistry. Especially the field of polymer research seems to be perfectly suited for these approaches since many parameters can be varied during synthesis, processing, blending, formulation and compounding. Moreover, the screening of interesting parameters, such as molecular weight, polydispersity, polymerization kinetics, viscosity, hardness or stiffness, became feasible only recently. Within this contribution we will describe our strategy to construct a most efficient workflow in the field of combinatorial polymer research. New developments made by our group as well as some general aspects will be discussed.
机译:在过去的几年中,组合化学彻底改变了药物发现以及催化剂发现和优化过程。如今,由于这些发展的推动,组合方法和平行化学也出现在材料和聚合物化学领域。尤其是聚合物研究领域似乎非常适合这些方法,因为许多参数可以在合成,加工,共混,配制和配混过程中改变。此外,仅在最近才筛选出令人感兴趣的参数,例如分子量,多分散性,聚合动力学,粘度,硬度或刚度。在此贡献中,我们将描述在组合聚合物研究领域构建最高效工作流程的策略。我们的小组取得的新进展以及一些一般性方面都将得到讨论。

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