首页> 外文期刊>Chemistry of Materials: A Publication of the American Chemistry Society >Composition Gradient High-Throughput Polymer Libraries Enabled by Passive Mixing and Elevated Temperature Operability
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Composition Gradient High-Throughput Polymer Libraries Enabled by Passive Mixing and Elevated Temperature Operability

机译:通过被动混合和高温可操作性实现的成分梯度高通量聚合物库

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摘要

The development of high-throughput experimentation(HTE)methods to efficiently screen multiparameter spaces is key to accelerating the discovery of high-performance multi-component materials(e.g.,polymer blends,colloids,etc.)for sensors,separations,energy,coatings,and other thin-film applications relevant to society.Although the generation and characterization of gradient thin-film library samples is a common approach to enable materials HTE,the ability to study many systems is impeded by the need to overcome unfavorable solubilities and viscosities among other processing challenges under ambient conditions.In this protocol,a solution coating system capable of operating temper-atures over 110 ℃ is designed and demonstrated for the deposition of composition gradient polymer libraries.The system is equipped with a custom,solvent-resistant passive mixer module suitable for high-temperature mixing of polymer solutions at ambient pressure.Residence time distribution modeling was employed to predict the coating conditions necessary to generate composition gradient films using a poly(3-hexylthiophene)and poly(styrene)model system.Poly(propylene)and poly(styrene)blends were selected as a first demonstration of high temperature gradient film coating:the blend represents a polymer system where gradient films are traditionally difficult to generate via existing coating approaches due to solubility constraints under ambient conditions.The methodology developed here is expected to widen the range of solution processed materials that can be explored via high-throughput laboratory sampling and provides an avenue for efficiently screening multiparameter materials spaces and/or populating the large data sets required to enable data-driven materials science.
机译:开发高效筛选多参数空间的高通量实验(HTE)方法是加速高性能多组分材料(如聚合物共混物、胶体等)发现的关键。用于传感器、分离、能源、涂层和其他与社会相关的薄膜应用。尽管梯度薄膜库样品的生成和表征是实现材料HTE的常用方法,但由于需要克服不利的溶解度和粘度以及环境条件下的其他加工挑战,因此研究许多系统的能力受到阻碍。在该协议中,设计并演示了一种能够在110°C以上温度下工作的溶液涂层系统,用于组合物梯度聚合物库的沉积。该系统配备了定制的耐溶剂无源混合器模块,适用于在环境压力下对聚合物溶液进行高温混合。采用停留时间分布模型来预测使用聚(3-己基噻吩)和聚(苯乙烯)模型系统生成成分梯度薄膜所需的涂层条件。选择聚丙烯和聚(苯乙烯)共混物作为高温梯度薄膜涂层的首次演示:该混合物代表了一种聚合物系统,由于环境条件下的溶解度限制,传统上难以通过现有的涂层方法生成梯度薄膜。这里开发的方法有望扩大可以通过高通量实验室采样探索的溶液处理材料的范围,并为有效筛选多参数材料空间和/或填充实现数据驱动的材料科学所需的大型数据集提供途径。

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