Boosting(机器学习)
共价键
夹紧
质子
光化学
化学
材料科学
纳米技术
计算机科学
物理
人工智能
有机化学
核物理学
计算机视觉
夹紧
作者
Y. K. Que,Ruo‐Meng Zhu,Yong Liu,Yu He,Wang‐Kang Han,Huan Pang,Jiangwei Zhang,Zhi‐Guo Gu
标识
DOI:10.1002/anie.202515511
摘要
Abstract The targeted construction of efficient CO 2 capture platforms for photocatalysis remains a significant challenge. Herein, we precisely engineered a proton clamp within a series of covalent organic frameworks (COFs) to function as CO 2 traps, thereby significantly enhancing the photocatalytic reduction of CO 2 to CO. The proton clamp was rationally designed by using an S‐shaped molecular motif featuring appropriate interatomic distances and strategically positioned protonation sites. Remarkably, the protonated COFs exhibited a superior CO production rate of 109 µmol g −1 h −1 in a gas‐solid reaction condition. The experimental and theoretical investigations confirmed that the proton clamp not only facilitated efficient CO 2 trapping but also rapidly delivered protons to the active sites, accelerating the reaction kinetics. This work provides molecular‐level insights into protonation strategies for optimizing photocatalytic CO 2 reduction, offering a new design principle for advanced COF‐based photocatalysts.
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