Boosting(机器学习)
甲烷
化学工程
化学
材料科学
纳米技术
有机化学
计算机科学
机器学习
工程类
作者
Jinchang Fan,Shaobo Liang,K. Zhu,Jun Murai,Xiaoju Cui,Chao Ma,Liang Yu,Dehui Deng
出处
期刊:Chem catalysis
[Elsevier]
日期:2022-09-01
卷期号:2 (9): 2253-2261
被引量:8
标识
DOI:10.1016/j.checat.2022.07.025
摘要
Designing active centers for CH4 activation under mild conditions is pivotal for the low-energy conversion of natural gas, which is still a great challenge owing to the chemical inertness of CH4 and the difficulties in tuning coordination environments of active centers. Herein, we report that highly efficient room-temperature CH4 conversion to liquid C1 oxygenates is achieved over ultrathin Ru nanosheets with confined Cu atoms. Compared with previously reported catalysts, it delivers a superior performance of up to 1,533 mmol g−1Cu(surf.) h−1 productivity and 97.3 h−1 TOF with over 99% selectivity for C1 oxygenates, and the optimized CH4 conversion reaches 0.05% at 25°C. Multiple spectroscopic analysis and first-principles calculations reveal that bi-coordinated bridge-site oxygen species generated on the Ru edge-confined Cu sites can dissociate the C–H bond of CH4 with a moderately low energy barrier and thus enable the CH4 conversion at room temperature via a free radical mechanism.
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