催化作用
电化学
选择性
Boosting(机器学习)
金属
基质(化学分析)
化学
动力学
材料科学
电极
还原(数学)
化学工程
无机化学
法拉第效率
物理化学
冶金
数学
计算机科学
复合材料
有机化学
机器学习
物理
工程类
量子力学
几何学
作者
Hai Xiao,William A. Goddard,Tao Cheng,Yuanyue Liu
标识
DOI:10.1073/pnas.1702405114
摘要
Significance A most promising approach to boosting both efficiency and selectivity for electrochemical reduction of CO 2 (CO 2 RR) is using Cu 2 O-based electrodes, and the surface Cu + is believed to play an essential role that is totally unclear from both experiment and theory. We find that the surface Cu + by itself actually deteriorates the performance of CO 2 RR. Instead we propose a Cu metal embedded in oxidized matrix (MEOM) model and show that it is synergy between surface Cu + and surface Cu 0 present in the MEOM model that improves significantly the kinetics and thermodynamics of both CO 2 activation and CO dimerization, thereby boosting the efficiency and selectivity of CO 2 RR. The MEOM model serves as a unique platform for design of better electrocatalysts for CO 2 RR.
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