化学
结晶
共价键
晶体工程
晶体生长
Crystal(编程语言)
单晶
劈理(地质)
化学选择性
化学物理
晶体结构
结晶学
催化作用
纳米技术
有机化学
超分子化学
断裂(地质)
复合材料
程序设计语言
计算机科学
材料科学
作者
Wenqiang Gao,Ziao Chen,Jiaxin Hong,Yuanxun Zhang,Yang Zhao,Minghui Liu,Xinyu Wang,Shengcong Shang,Zewen You,Zhihao Shao,Jichen Dong,Yunlong Guo,Jianyi Chen,Yunqi Liu
摘要
Covalent organic frameworks (COFs) linked by poorly reversible covalent bonds lack dynamic formation and cleavage, so the synthesis of their single-crystal structures necessitates slow crystallization rates to mitigate defect formation. This, however, inherently restricts opportunities for facet-selective engineering beyond traditional compositional and topological controls. To address this fundamental limitation, we developed an acetal/CH3COOH protocol that paradoxically accelerated crystallization while enhancing structural perfection, reducing the synthesis time for 60 μm-sized single-crystal COF-300 to 1 h, while achieving crystal sizes of up to 120 μm within 48 h, and 300 μm after 30 days. Capitalizing on this accelerated synthesis platform, we systematically interrogated crystallization landscapes through multiparameter exploration─modulator chemoselectivity, catalyst dosages, temporal evolution, and reactive temperature─to decode possible growth mechanisms of single-crystal COFs. Based on these, the relationship between reaction conditions and the crystal size, size distribution, shape, and growth dynamics of single-crystal COFs was trained and predicted by a machine learning (ML) model.
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