催化作用
Boosting(机器学习)
材料科学
金属
化学工程
化学
冶金
计算机科学
机器学习
有机化学
工程类
作者
Runping Ye,Lixuan Ma,Xiaoling Hong,Tomás Ramı́rez Reina,Wenhao Luo,Liqun Kang,Gang Feng,Rongbin Zhang,Maohong Fan,Riguang Zhang,Jian Liu
出处
期刊:Angewandte Chemie
[Wiley]
日期:2023-11-30
卷期号:63 (3): e202317669-e202317669
被引量:148
标识
DOI:10.1002/anie.202317669
摘要
Rational design of low-cost and efficient transition-metal catalysts for low-temperature CO2 activation is significant and poses great challenges. Herein, a strategy via regulating the local electron density of active sites is developed to boost CO2 methanation that normally requires >350 °C for commercial Ni catalysts. An optimal Ni/ZrO2 catalyst affords an excellent low-temperature performance hitherto, with a CO2 conversion of 84.0 %, CH4 selectivity of 98.6 % even at 230 °C and GHSV of 12,000 mL g-1 h-1 for 106 h, reflecting one of the best CO2 methanation performance to date on Ni-based catalysts. Combined a series of in situ spectroscopic characterization studies reveal that re-constructing monoclinic-ZrO2 supported Ni species with abundant oxygen vacancies can facilitate CO2 activation, owing to the enhanced local electron density of Ni induced by the strong metal-support interactions. These findings might be of great aid for construction of robust catalysts with an enhanced performance for CO2 emission abatement and beyond.
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