Lisiecki Jakub, Szabelski Paweł
Department of Theoretical Chemistry, Institute of Chemical Sciences, Faculty of Chemistry, Maria Curie-Skłodowska University in Lublin, Pl. M.C. Skłodowskiej 3, 20-031, Lublin, Poland.
Chemphyschem. 2022 Apr 20;23(8):e202100877. doi: 10.1002/cphc.202100877. Epub 2022 Mar 4.
Surface-assisted fabrication of molecular network architectures has been a promising route to low-dimensional materials with unique physicochemical properties and functionalities. One versatile way in this field is the Ullmann coupling reaction of halogenated organic monomers on catalytically active metallic surfaces. In this work, using the coarse-grained Monte Carlo simulations, we studied the on-surface self-assembly of metal-organic precursors preceding the covalent Ullman-type linkage of tetrahalogenated anthracene building blocks. To that end, a series of positional isomers was examined and classified with respect to their ability of creation of extended network structures. Our simulations focused on the identification of basic types of self-assembly scenarios distinguishing enantiopure and racemic systems and producing periodic and aperiodic networks. The calculations carried out for selected tectons demonstrated wide possibilities of controlling porosity (e. g. pore size, shape, periodicity, chirality, heterogeneity) of the networks by suitable functionalization of the monomeric unit. The findings reported herein can be helpful in rational designing of 2D polymeric networks with predefined structures and properties.
表面辅助制备分子网络结构一直是通往具有独特物理化学性质和功能的低维材料的一条有前景的途径。该领域一种通用的方法是卤代有机单体在催化活性金属表面上的乌尔曼偶联反应。在这项工作中,我们使用粗粒度蒙特卡罗模拟研究了四卤代蒽结构单元进行共价乌尔曼型键合之前金属有机前驱体的表面自组装。为此,研究了一系列位置异构体,并根据它们形成扩展网络结构的能力进行了分类。我们的模拟重点在于识别自组装场景的基本类型,区分对映体纯和外消旋体系,并生成周期性和非周期性网络。对选定构造单元进行的计算表明,通过对单体单元进行适当的功能化,可以广泛地控制网络的孔隙率(例如孔径、形状、周期性、手性、不均匀性)。本文报道的研究结果有助于合理设计具有预定义结构和性质的二维聚合物网络。