分子动力学
平面度测试
连接器
化学物理
材料科学
共价键
纳米技术
灵活性(工程)
多尺度建模
对分布函数
动力学(音乐)
局部结构
分子
功能(生物学)
化学
工作(物理)
生物系统
桥接(联网)
计算化学
同步加速器
统计物理学
结晶学
聚合物
偏移量(计算机科学)
作者
Francesco Tavani,Saber Mirzaei,Jian Yin,Yen-hsu Lin,Caden Myers,Cheng-Hung Lin,Milinda Abeykoon,Simon J. L. Billinge,Omar M. Yaghi
摘要
Abstract Resolving and controlling the local dynamical properties of covalent organic frameworks (COFs) remains a central challenge, particularly when assembled from large, flexible building units. Here, we combine synchrotron X-ray pair distribution function (PDF) analyses with machine learning-accelerated molecular dynamics (MD) simulations to resolve the local structure and dynamics of two three-dimensional imine-linked COFs, COF-682 [(DHP)(TAM)]imine, assembled from 6,13-dihydropentacene (DHP) and tetrakis(4-aminophenyl)methane (TAM), and COF-612 [(HBC-LA12)(HAPT)2]imine, assembled from nanographene dodecabenzaldehyde hexakis[3,5-bis(p-formylphenyl)-4,6-dimethoxyphenyl]hexabenzocoronene (HBC-LA12) and 2,3,6,7,14,15-hexa(4-aminophenyl)triptycene (HAPT). Validated against the experimental PDFs through ensemble-averaged calculations, the simulations show that the exposed π-surface and V-shaped geometry of the DHP linker endow COF-682 with enhanced local flexibility through face-to-face and offset π-stacking interactions differing in both their average interplanar separation and their ring-plane tilt angle. In contrast, the extended nanographene linker rigidifies COF-612 by maintaining the planarity of its fused cores, while the linker pendant aryl rings equip both COFs with enhanced librational ability. The simulations further provide quantitative measures of the translational and reorientational mobility of the linkers, revealing how local COF dynamics may be tuned by balancing noncovalent interactions and different degrees of aromatic rigidity. The PDF-MD experimental-computational approach holds promise as a general method beyond conventional crystallography to gain insights into the local properties of COFs with the aim of directing their dynamic function.
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