试剂
光催化
材料科学
载流子
选择性
Boosting(机器学习)
化学工程
能量转换效率
纳米技术
催化作用
光电子学
化学
物理化学
生物化学
机器学习
工程类
计算机科学
作者
Jun Di,Chao Zhu,Mengxia Ji,Meilin Duan,Ran Long,Cheng Yan,Kaizhi Gu,Jun Xiong,Yuanbin She,Jiexiang Xia,Huaming Li,Zheng Liu
标识
DOI:10.1002/anie.201809492
摘要
Solar-driven reduction of CO2 , which converts inexhaustible solar energy into value-added fuels, has been recognized as a promising sustainable energy conversion technology. However, the overall conversion efficiency is significantly limited by the inefficient charge separation and sluggish interfacial reaction dynamics, which resulted from a lack of sufficient active sites. Herein, Bi12 O17 Cl2 superfine nanotubes with a bilayer thickness of the tube wall are designed to achieve structural distortion for the creation of surface oxygen defects, thus accelerating the carrier migration and facilitating CO2 activation. Without cocatalyst and sacrificing reagent, Bi12 O17 Cl2 nanotubes deliver high selectivity CO evolution rate of 48.6 μmol g-1 h-1 in water (16.8 times than of bulk Bi12 O17 Cl2 ), while maintaining stability even after 12 h of testing. This paves the way to design efficient photocatalysts with collaborative optimizing charge separation and CO2 activation towards CO2 photoreduction.
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