Suppr超能文献

单层膜中五角形分子的模板驱动密集堆积

Template-Driven Dense Packing of Pentagonal Molecules in Monolayer Films.

作者信息

Cui Daling, Ebrahimi Maryam, Macleod Jennifer M, Rosei Federico

机构信息

Centre Énergie, Matériaux et Télécommunications , Institut National de la Recherche Scientifique , 1650 Boulevard Lionel-Boulet , Varennes , Québec J3X 1S2 , Canada.

Physics Department E20 , Technical University of Munich James-Franck-Strasse1 , D-85748 Garching , Germany.

出版信息

Nano Lett. 2018 Dec 12;18(12):7570-7575. doi: 10.1021/acs.nanolett.8b03126. Epub 2018 Nov 12.

Abstract

The integration of molecules with irregular shape into a long-range, dense and periodic lattice represents a unique challenge for the fabrication of engineered molecular scale architectures. The tiling of pentagonal molecules on a two-dimensional (2D) plane can be used as a proof-of-principle investigation to overcome this problem because basic geometry dictates that a 2D surface cannot be filled with a periodic arrangement of pentagons, a fundamental limitation that suggests that pentagonal molecules may not be suitable as building blocks for dense films. However, here we show that the 2D covalent organic framework (COF) known as COF-1 can direct the growth of pentagonal guest molecules as dense crystalline films at the solution/solid interface. We find that the pentagonal molecule corannulene adsorbs at two different sites on the COF-1 lattice, and that multiple molecules can adsorb into well-defined clusters patterned by the COF. Two types of these dense periodic packing motifs lead to a five-fold symmetry reduction compatible with translational symmetry, one of which gives an unprecedented high molecular density of 2.12 molecules/nm.

摘要

将形状不规则的分子整合成长程、致密且周期性的晶格,对于构建工程化分子尺度结构而言是一项独特的挑战。在二维(2D)平面上平铺五边形分子可作为克服这一问题的原理验证研究,因为基本几何原理表明,二维表面无法被五边形的周期性排列填满,这一基本限制意味着五边形分子可能不适合作为致密薄膜的构建单元。然而,我们在此表明,名为COF-1的二维共价有机框架(COF)能够在溶液/固体界面引导五边形客体分子生长成致密的晶体薄膜。我们发现,五边形分子碗烯吸附在COF-1晶格上的两个不同位点,并且多个分子能够吸附形成由COF构建的明确团簇。这两种致密的周期性堆积模式导致与平移对称性兼容的五重对称性降低,其中一种模式给出了前所未有的高分子密度,即2.12个分子/纳米。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验