间歇操作冷凝液滴聚合以了解温度对聚合物纳米圆顶尺寸分布的影响

Jeremiah James, Rong Yang
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引用次数: 0

摘要

尺寸可控聚合物纳米圆顶(PND)有利于现有和新兴技术的广泛应用。冷凝液滴聚合(CDP)是一种基于真空的合成技术,可在一步中从单体前体生产PND。然而,合成和加工条件对PND尺寸分布的影响仍然难以捉摸。在尺寸分布控制方面,我们报道了单体液滴冷凝的基底温度对PND尺寸分布的影响。我们采用还原论方法,在批量模式下操作CDP,以匹配冷凝研究中常用的条件。值得注意的是,尽管逐滴缩合有丰富的知识基础,但像常见单体,即甲基丙烯酸2-羟基乙酯(HEMA)这样的非极性液体的行为并没有得到很好的理解。我们通过证明HEMA的逐滴冷凝遵循两阶段生长过程来弥合这一差距。早期生长以液滴形核和生长为主,产生具有对数正态分布的相对均匀的尺寸,而后期生长则以液滴聚结和再核化的联合作用为主,导致双峰尺寸分布。这一了解PND规模分布的新框架使PND的数量达到前所未有的水平。它们可控的尺寸分布有可能实现新兴材料的可编程特性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Batch-Operated Condensed Droplet Polymerization to Understand the Effect of Temperature on the Size Distribution of Polymer Nanodomes

Batch-Operated Condensed Droplet Polymerization to Understand the Effect of Temperature on the Size Distribution of Polymer Nanodomes
Size-controlled polymer nanodomes (PNDs) benefit a broad cross-section of existing and emerging technologies. Condensed droplet polymerization (CDP) is a vacuum-based synthesis technology that produces PNDs from monomer precursors in a single step. However, the effect of synthesis and processing conditions on the PND size distribution remains elusive. Towards size distribution control, we report the effect of substrate temperature, on which monomer droplets condense, on the size distribution of PNDs. We take a reductionist approach and operate the CDP under batch mode to match the conditions commonly used in condensation research. Notably, despite the rich knowledge base in dropwise condensation, the behavior of nonpolar liquids like a common monomer, i.e., 2-hydroxyethyl methacrylate (HEMA), is not well understood. We bridge that gap by demonstrating that dropwise condensation of HEMA follows a two-stage growth process. Early-stage growth is dominated by drop nucleation and growth, giving rise to relatively uniform sizes with a lognormal distribution, whereas late-stage growth is dominated by the combined effect of drop coalescence and renucleation, leading to a bimodal size distribution. This new framework for understanding the PND size distribution enables an unprecedented population of PNDs. Their controlled size distribution has the potential to enable programmable properties for emergent materials.
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CiteScore
3.70
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