| Autor: |
Xinze Bi, Yifan Yan, Hongzhi Wang, Yuezhu Zhao, Jiatao Zhang, Mingbo Wu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
|
| Zdroj: |
Energy Material Advances, Vol 4 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2692-7640 |
| DOI: |
10.34133/energymatadv.0037 |
| Popis: |
It is crucial to construct an efficient catalyst with high activity and excellent selectivity for realizing CO2 electroreduction reaction (CO2ER) to high-value-added chemicals, especially the C2 products. Density functional theory (DFT) provides a powerful tool for investigating the promotional effect on C2 selectivity of finely tuned catalyst structures, which is currently difficult to control using experimental techniques, such as interatomic distances. In the work, 5 Cu2O catalyst models are constructed with different Cu-Cu atomic spacing (dCu-Cu). The results of DFT calculations show that adjusting the dCu-Cu can effectively tailor the electronic structures of active sites, enhance catalytic activity, and improve product selectivity. Specifically, the Cu atom pair spaced at dCu-Cu = 2.5 Å could optimize the adsorption configuration of *CO and enhance the binding strength of *CO, thus improving *CO adsorption energy and reducing the energy barrier of C-C coupling. The work proves the feasibility of spacing effect in enhancing the C2H4 selectivity of CO2ER and provides a new idea for the catalyst modification for other reactions of polyprotons-coupled electrons. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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