Boosting(机器学习)
材料科学
订单(交换)
物理
计算机科学
财务
机器学习
经济
作者
Yanfei Sun,Jiangzhou Xie,Zhenzhen Fu,Huiying Zhang,Yebo Yao,Yixiang Zhou,Xiaoxuan Wang,Shiyu Wang,Xueying Gao,Zheng Tang,Shuyuan Li,Xiaojun Wang,Kaiqi Nie,Zhiyu Yang,Yi‐Ming Yan
出处
期刊:ACS Nano
[American Chemical Society]
日期:2023-07-06
卷期号:17 (14): 13974-13984
被引量:47
标识
DOI:10.1021/acsnano.3c03952
摘要
Efficient conversion of carbon dioxide (CO2) into value-added materials and feedstocks, powered by renewable electricity, presents a promising strategy to reduce greenhouse gas emissions and close the anthropogenic carbon loop. Recently, there has been intense interest in Cu2O-based catalysts for the CO2 reduction reaction (CO2RR), owing to their capabilities in enhancing C–C coupling. However, the electrochemical instability of Cu+ in Cu2O leads to its inevitable reduction to Cu0, resulting in poor selectivity for C2+ products. Herein, we propose an unconventional and feasible strategy for stabilizing Cu+ through the construction of a Ce4+ 4f–O 2p–Cu+ 3d network structure in Ce-Cu2O. Experimental results and theoretical calculations confirm that the unconventional orbital hybridization near Ef based on the high-order Ce4+ 4f and 2p can more effectively inhibit the leaching of lattice oxygen, thereby stabilizing Cu+ in Ce-Cu2O, compared with traditional d–p hybridization. Compared to pure Cu2O, the Ce-Cu2O catalyst increased the ratio of C2H4/CO by 1.69-fold during the CO2RR at −1.3 V. Furthermore, in situ and ex situ spectroscopic techniques were utilized to track the oxidation valency of copper under CO2RR conditions with time resolution, identifying the well-maintained Cu+ species in the Ce-Cu2O catalyst. This work not only presents an avenue to CO2RR catalyst design involving the high-order 4f and 2p orbital hybridization but also provides deep insights into the metal-oxidation-state-dependent selectivity of catalysts.
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