首页|New mechanistic insights into CO2 electroreduction to methane on penta-octa-graphene catalyst

New mechanistic insights into CO2 electroreduction to methane on penta-octa-graphene catalyst

扫码查看
Electrocatalytic reduction of CO2 to produce high value-added products is an important way to achieve sustainable production of green energy,but it is limited by high complexity of the catalyst structure and reaction process,making the rational design of the catalyst and the targeted generation of specific products a huge challenge.Herein,based on the penta-octa-graphene(POG)with sp2 and sp3 hybrid as the prototype,we theoretically guide the design of CO2 electrocatalytic reduction(CO2RR)catalyst over pure POG and TM doping POG(TM@POG).Our mechanistic study highlights two key factors in new path-way for CH4 production and catalytic performance,i.e.,TM provides electron transfer for the key inter-mediate*CHO,promoting the activation of CO2,and the type of protonation for CO2RR is determined by the charge accumulation on the O atom of the intermediates.This reduces the complexity of the reac-tion and provides a predictive effect on the formation of intermediates.More importantly,the proper val-ues of the Gibbs free energy indicate that TM@POG is an ideal catalyst candidate,especially the Fe@POG,which is superior to Cu(211)material.On this basis,three simple descriptors(Bader charge,d-band cen-ter εd and descriptor φ)based on the inherent properties of atoms were constructed to reveal the under-lying causes of the improvement of catalytic activity.Our results provide a new understanding of the'structure-performance'relationship of carbon-based electrocatalysts,thus providing a useful strategy for the design of catalysts for CO2RR.

Penta-octa-grapheneCarbon dioxide reductionCatalytic descriptorFirst-principles calculation

Yirong Ma、Jinbo Hao、Baonan Jia、Xinhui Zhang、Chunling Zhang、Ge Wu、Changcheng Chen、Yuanzi Li、Zhiyuan Zhou、Qiyu Li、Pengfei Lu

展开 >

School of Science,Xi'an University of Architecture and Technology,Xi'an 710055,Shaanxi,China

School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing 100083,China

School of Integrated Circuits,Beijing University of Posts and Telecommunications,Beijing 100876,China

2024

能源化学
中国科学院大连化学物理研究所 中国科学院成都有机化学研究所

能源化学

CSTPCDEI
影响因子:0.654
ISSN:2095-4956
年,卷(期):2024.99(12)