Zhu You-Liang, Zhao Huan-Yu, Fu Cui-Liu, Li Zhan-Wei, Sun Zhao-Yan, Lu Zhongyuan
State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China.
University of Science and Technology of China, Hefei 230026, China.
J Phys Chem Lett. 2020 Nov 19;11(22):9952-9956. doi: 10.1021/acs.jpclett.0c02960. Epub 2020 Nov 10.
Reversible chemistries have been extensively explored to construct highly crystalline covalent organic frameworks (COFs) via defect correction. However, the mechanisms of defect correction that can explain the formation of products as single crystals, polycrystal/crystallites, or amorphous solids remain unknown. Herein, we employed molecular dynamics simulations combined with a polymerization model to investigate the growth kinetics of two-dimensional COFs. By virtue of the Arrhenius two-state model describing reversible reactions, we figured out the conditions in terms of active energy and binding energy for different products. Specifically, the ultraslow growth of COFs under high reversibility of reactions corresponding to low binding energies resulted in a single crystal by inhibiting the emergence of nuclei as well as correcting defects through continually dropping small defective fragments off at crystal boundaries. High bonding energies responsible for the high nucleation rate and rapid growth that incorporated defects in crystals and caused the division of crystals through defect correcting processes led to small crystallites or polycrystals. The insights into the mechanisms help us to understand and further control the growth kinetics by exploiting reversible conditions to synthesize COFs of higher quality.
人们已经广泛探索了可逆化学过程,以通过缺陷校正构建高度结晶的共价有机框架(COF)。然而,能够解释产物形成为单晶、多晶/微晶或无定形固体的缺陷校正机制仍然未知。在此,我们采用分子动力学模拟结合聚合模型来研究二维COF的生长动力学。借助描述可逆反应的阿伦尼乌斯双态模型,我们确定了不同产物在活化能和结合能方面的条件。具体而言,在对应于低结合能的高反应可逆性下,COF的超慢生长通过抑制核的出现以及通过在晶体边界不断掉落小的缺陷片段来校正缺陷,从而形成单晶。高结合能导致高成核速率和快速生长,这会在晶体中引入缺陷并通过缺陷校正过程导致晶体分裂,从而形成小的微晶或多晶。对这些机制的深入了解有助于我们通过利用可逆条件来合成更高质量的COF,从而理解并进一步控制生长动力学。